OCR_Decode/OCR_Decode/Window.cs

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 OCR_Decode
{
    public class Window
    {
        private Rectangle _bounds;
        private Bitmap _image;
        private string _name;
        protected static 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; }

        public static DirectoryInfo TESS_DATA_FOLDER = new DirectoryInfo(@"C:\Users\Moi\Pictures\SeleniumScreens\TessData");

        public Bitmap WindowImage
        {
            get
            {
                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)
        {
            Image = image;
            Bounds = bounds;

            Engine = new TesseractEngine(TESS_DATA_FOLDER.FullName, "eng", EngineMode.Default);
            Engine.DefaultPageSegMode = PageSegMode.SingleLine;
        }
        public virtual Object DecodePng()
        {
            return "NaN";
        }
        public virtual Object DecodePng(List<string> drivers)
        {
            return "NaN";
        }
        public static byte[] ImageToByte(Image img)
        {
            using (var stream = new MemoryStream())
            {
                img.Save(stream, System.Drawing.Imaging.ImageFormat.Png);
                return stream.ToArray();
            }
        }
        public static int GetTimeFromPng(Bitmap wImage)
        {
            string rawResult = "";
            int result = 0;

            Engine.SetVariable("tessedit_char_whitelist", "0123456789:.");

            Bitmap enhancedImage = new OcrImage(wImage).Enhance();

            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));
            }

            enhancedImage.Save(Reader.DEBUG_DUMP_FOLDER + Regex.Replace(rawResult, "[^0-9A-Za-z]", "") + ".png");

            List<string> rawNumbers;

            //Removes all non digit chars except for the important ones
            //We will need to change this when trying to see the Leader and Lap texts
            //string cleanedResult = 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]);
                }
                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;
        }
        protected string GetStringFromPng(bool onlyDigit = false)
        {
            string result = "";

            if (onlyDigit)
            {
                Engine.SetVariable("tessedit_char_whitelist", "0123456789");
            }
            else
            {
                Engine.SetVariable("tessedit_char_whitelist", "");
            }
                

            Bitmap rawData = WindowImage;
            Bitmap enhancedImage = new OcrImage(rawData).Enhance();

            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;
        }
        //This method has been gnerated using ChatGPT
        protected static string FindClosestMatch(List<string> array, string target)
        {
            var closestMatch = "";
            var closestDistance = int.MaxValue;

            foreach (var item in array)
            {
                var distance = LevenshteinDistance(item, target);
                if (distance < closestDistance)
                {
                    closestMatch = item;
                    closestDistance = distance;
                }
            }
            return closestMatch;
        }
        //This is a tool to be able to compare strings 
        protected static int LevenshteinDistance(string s1, string s2)
        {
            if (string.IsNullOrEmpty(s1))
            {
                return string.IsNullOrEmpty(s2) ? 0 : s2.Length;
            }

            if (string.IsNullOrEmpty(s2))
            {
                return string.IsNullOrEmpty(s1) ? 0 : s1.Length;
            }

            var d = new int[s1.Length + 1, s2.Length + 1];
            for (var i = 0; i <= s1.Length; i++)
            {
                d[i, 0] = i;
            }

            for (var j = 0; j <= s2.Length; j++)
            {
                d[0, j] = j;
            }

            for (var i = 1; i <= s1.Length; i++)
            {
                for (var j = 1; j <= s2.Length; j++)
                {
                    var cost = (s1[i - 1] == s2[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[s1.Length, s2.Length];
        }
    }
}