public void Update()
{
var output = new DrawingGroup();
var format = new BasicTextParagraphProperties("Times New Roman", 34, FlowDirection.LeftToRight);
var words = BoundedWord.GetWords(Text, Measurer.MeasureLines(Text, 200, format, output)).ToList();
Image = output.ToBitmap();
ImageData imageData;
using (var stream = Image.CreateStream())
imageData = new ImageData(stream);
var boards = imageData.DefineIteratedBoards();
var chars = words.SelectMany(w => w.Characters);
Segments = chars.Select(boards.GetLetterHeuristics).ToList();
}
public Stream CreateImage(string html)
{
if (String.IsNullOrWhiteSpace(html))
return new RenderTargetBitmap(Width, 1, 0, 0, PixelFormats.Pbgra32).CreateStream();
string text = HttpUtility.HtmlDecode(html);
var output = new DrawingGroup();
var format = new BasicTextParagraphProperties(font, 14, FlowDirection.RightToLeft);
var words = Measurer.MeasureLines(text, Width, format, output).ToList();
var dv = new DrawingVisual();
using (var c = dv.RenderOpen())
c.DrawImage(new DrawingImage(output), new Rect(new Point(Width - output.Bounds.Width, 0), output.Bounds.Size));
var rtb = new RenderTargetBitmap(Width, (int)output.Bounds.Height, 96, 96, PixelFormats.Pbgra32);
rtb.Render(dv);
return rtb.CreateStream();
}
static void Main(string[] args)
{
string fileName = @"C:\Users\Public\Pictures\temp.png";
string renderMe = "تلبستبي بيسا سي";
var output = new DrawingGroup();
BasicTextParagraphProperties format = new BasicTextParagraphProperties("Tahoma", 13, FlowDirection.LeftToRight);
var segments = TextSegment.GetWords(renderMe, Measurer.MeasureLines(renderMe, 200, format, output)).ToList();
output.ToBitmap().CreateStream(fileName).Close();
Document uploadDocument = new Document(fileName);
//List<string> wordsRendered = renderMe.Split(' ').ToList();
//List<CharacterBounds> boundsForeachWord = new List<CharacterBounds>();
//foreach (var word in wordsRendered) {
// boundsForeachWord.Add(new CharacterBounds(segments, word));
//}
//IteratedBoards boards = uploadDocument.DefineIteratedBoards();
////TrainingData trainingData;
////foreach (var word in boundsForeachWord) {
//// trainingData = boards.Train(word);
////}
//foreach (var testBoard in boards.Segment()) {}
}
public void TestAlgorithm()
{
string renderText = "أدخل نص هنا لترجمة";
//string renderText = "أد";
//string renderText = "ﺀﺁﺂﺃﺄﺅﺆﺇﺈﺉﺊﺋﺌﺍﺎﺏﺐﺑﺒﺓﺔﺕﺖﺗﺘﺙﺚﺛﺜﺝﺞﺟﺠﺡﺢﺣﺤﺥﺦﺧﺨﺩﺪﺫﺬﺭﺮﺯﺰﺱﺲﺳﺴﺵﺶﺷﺸﺹﺺﺻﺼﺽﺾﺿﻀﻁﻂﻃﻄﻅﻆﻇﻈﻉﻊﻋﻌﻍﻎﻏﻐﻑﻒﻓﻔﻕﻖﻗﻘﻙﻚﻛﻜﻝﻞﻟﻠﻡﻢﻣﻤﻥﻦﻧﻨﻩﻪﻫﻬﻭﻮﻯﻰﻱﻲﻳﻴﻵﻶﻷﻸﻹﻺﻻﻼ";
//string renderText = "ﺬﻤﺈﺗﻹﻕﻐﻘﻝﺺﻔﺒﺭﻧﻂﺓﻫﻲﺸﺪﺊﻭﻜﺶﻆﻸﻒﺆﺄﻤﻴﺣﻄﻗﻖﺹﺶﺅﺆﺔﻣﻕﻨﺝﻓﻂﺭﺡﺀﻷﺣﺜﻷﻞﺶﺼﺈﻎﻍﺁﺂﻊﻓﻶﻃﺰﻊﻒﺑﺈﻙﻦﻬﺣﻃﺲﺄﺿﻠﺄﻊﺰﺆﺊﻁﻗﺨﻣﺡﺚﺱﻤﺴﺄﺑﺙﺂﻮﻖﺢﻴﻘﺐﻴﺞﺹﺬﻔﺛﺄﺷﻅﻫﻈﺳﻎﻃﻉﺵﻨﺇﻤﺱﻴﻔﻱﺲﻨﺑﺩﺯﺒﻥﺽﺍﻯﺠﺏﻨﺇﺫﻑﻈﺜﻟﻨﻶﻨﻎﻀﻒﺵﺹﻫﺚﺏﺧﺙﺟﺪﺇﻁﻂﻮﻑﺤﻝﺭﺻﻁﺮﺴﻝﺭﺽﺳﺛﺔﺔﻩﻸﻆﺙﻎﻓﻶﻖﻷﺣﻺﻇﺇﻬﺾﺀﻦﺎﻖﻈﺻﺋﻈﺭﺌﺑﺞﻕﺋﺮﻤﻱﺒﺅﺳﺮﺽﺨﻱﺛﻗﻊﻣﺊﺽﻶﺧﻄﺞﺭﻔﺤﻁﻉﻕﻝﺯﺘﺌﺼﺴﺡﻊﻈﺼﺉﺵﺁﺹﺏﺿﺾﺚﺻﻭﻭﺥﺽﻬﺓﻧﻗﺷﻚﻗﺿﺯﻅﺬﻒﻼﺥﺛﺴﻣﺶﻼﺚﻋﺳﻁﺥﺊﺎﻫﺕﺊﺆﻙﻥﺸﻯﺨﻶﻒﻚﻧﻭﻮﻹﻗ";
var output = new DrawingGroup();
var format = new BasicTextParagraphProperties("Times New Roman", 14, FlowDirection.LeftToRight);
var words = BoundedWord.GetWords(renderText, Measurer.MeasureLines(renderText, 200, format, output)).ToList();
//using (var stream = output.ToBitmap().CreateStream()) {
using (var stream = File.OpenRead(@"C:\Users\SSL\Temp\Arabic.png")) {
//using (var targetStream = File.Create(@"C:\Users\SSL\Temp\Arabic-Console.png"))
// stream.CopyTo(targetStream);
stream.Position = 0;
var imageData = new ImageData(stream);
stream.Position = 0;
//System.Drawing.Bitmap b = boards.Boards.First().Matrix.ExtractRectangularContentArea(segment.Bounds).ConvertDoubleArrayToBitmap(System.Drawing.Color.White);
//whitespaceResults.Last().Log(boards.Boards.First().Matrix.ExtractRectangularContentArea(segment.Bounds).ConvertDoubleArrayToBitmap(System.Drawing.Color.White));
//characterResults.Last().Log(boards.Boards.First().Matrix.ExtractRectangularContentArea(segment.Bounds).ConvertDoubleArrayToBitmap(System.Drawing.Color.White));
//Debug.Print(characterResults.Last().Text + " " + characterResults.Last().Certainty.ToString());
var trainingData = new MutableReferenceSet();
trainingData.ReadFrom(trainingFolder);
var searcher = new ReferenceSearcher(trainingData);
var recognizer = new OriginalDocumentRecognizer(searcher);
var reporter = new ConsoleProgressReporter(false);
var results = recognizer.Recognize(stream, reporter).ToList().AsReadOnly();
var outputString = new StreamReader(OutputRenderer.PlainText.Convert(stream, results)).ReadToEnd();
Debug.Print(outputString);
}
}
//TODO: Test for white space first
public void TrainAlgorithm()
{
string renderText = "أدخل نص هنا لترجمة";
//string renderText = "ﻂﺎﺉﻳﺕﺍﻈﺕﻊﺹﻫﻑﻈﻂﻟﺐﺻﺔﺛﺅﺡﺽﻛﻟﺊﺒﻖﺼﻞﺫﻳﺀﺎﻠﻜﻯﺛﺠﻔﺡﺜﺠﻹﺡﺕﺨﺜﻛﻃﺜﺗﺯﺘﺈﻞﺄﺰﺦﻨﺂﺳﺋﺳﺟﻃﻪﻃﻤﻣﻭﻱﺚﺽﻷﻦﺁﻁﺹﻊﻞﻲﻷﻶﻁﺓﻃﻥﺅﺂﻗﺿﻲﺵﻑﻪﺐﻩﻚﻛﺧﻢﺵﻵﻓﺨﻹﻯﺝﺟﻝﺿﻳﻘﺉﺌﺸﺒﻮﺋﻼﺅﺽﻢﺋﺭﻻﻢﻨﺍﻕﺔﻤﻛﺢﻹﺽﺂﺣﺙﺖﻑﻇﻣﺢﺘﻈﺙﺫﻄﺱﻺﻷﻎﻛﺢﺥﻏﻩﺥﺩﺗﺇﺐﻆﻈﻘﺘﺶﺍﻌﺶﻬﻕﻱﺫﺺﻖﻀﻰﻢﻡﺶﺣﻘﻗﺙﺖﻼﻼﻔﻫﺕﻺﻬﻼﻉﺶﺜﻖﺼﺰﻠﺞﻵﻸﺎﺢﻙﺯﻤﻋﺏﻵﺿﻄﻝﻡﺵﻬﺯﻂﺘﺶﺵﻞﺠﻮﻥﻱﻟﺄﺺﻦﺳﺲﺁﺘﺪﻜﻉﻴﺹﻍﺘﺉﻛﺜﺻﺧﺟﻥﺁﺭﺧﻷﺗﺪﻥﺗﻗﺜﺹﻥﻍﻠﺐﺥﻂﺍﻃﻅﺶﻕﺣﺸﺈﻇﺞﺬﺂﺃﺳﺽﻒﻶﺃﺌﺿﺸﺚﻓﺯﺒﺄﺬﺺﻐﺀﺴﻵﺶﻗﺭﻡﻗﺮﺨﺊﻫﻯﻌﺌﺹﺕﻔﻦﻸﺒﻓﻝﺄﻢﺉﻯﻬﺕﺤﻐﻳﻺﺵﻇﻦﺴﻉﺨﺅﻙﻷﻇﻗﺂﻐﻆﻊﻇﻲﻺﺭﻃﺾﺽﺩﻓﻰﻐﻎﺺﻱﻁﺊﻕﺓﻭﺺﺅﺢﺄﻈﺫﻠﺟﺘﺌﺆﺂﺑﺿﺤﺤﺟﺦﺣﺰﺼﻴﺞﺒﻀﻶﻗﻇﻤﺶﺼﺂﻫﻟﺌﻅﺥﻮﺱﺁﻟﺟﺥﺝﻍﻮﺾﺎﺖﻌﺡﻠﺱﻠﺱﻂﻣﺏﻁﻏﻐﺘﺷﻞﻌﺃﺓﺮﺳﻜﻼﺮﻲﺡﻍﺝﻎﺀﻂﻎﺷﻉﺱﺘﺔﻙﻍﺊﺮﻆﻞﺕﺭﻞﺭﻇﻤﻃﻍﻉﻛﺏﻗﺶﻍﻯﻫﺐﺒﺔﻱﻢﻊﻯﺗﺇﻣﺞﻉﻰﺳﺉﺀﻩﻺﻦﺁﺓﻰﺆﺵﺊﺰﻵﻰﺨﻮﻷﻈﺢﻪﺽﻴﺚﻒﻸﻈﺺﻆﺦﻠﻅﻶﻚﺖﻑﺏﻫﺹﻣﻮﻗﺜﺌﻛﻧﺲﻒﻻﻬﺕﻨﻓﺧﺅﻳﺑﻣﺗﺁﺞﻄﻉﻉﺢﻬﺐﻒﻞﺞﺘﺃﺾﻡﺱﺒﺠﻨﺻﻨﻅﻲﺻﻗﺑﻵﻯﻏﻔﺟﻀﺩﻓﺷﻄﺩﺎﻐﻦﻬﻖﻝﻰﻜﻓﺒﺪﻮﻳﻰﻓﺦﺧﺬﺸﺨﺈﻯﺸﺪﻺﺾﻺﺾﻛﻬﺬﺆﺝﺇﺄﻍﺁﻋﺑﻥﺂﻜﺃﻻﻊﺀﻘﻡﻉﺚﺁﺧﻻﺛﺡﺛﺗﺼﻯﺘﻠﺱﺁﻤﻣﺣﻑﻬﻫﺆﺤﻘﺚﻐﺦﺩﻬﺺﻜﻺﻢﺘﻲﻀﻫﺄﺇﺁﻢﻦﺵﻁﻙﻶﺄﻍﻚﺛﺘﺧﺫﻨﻳﻃﻲﺥﺌﺫﻱﻵﺫﻚﻜﻲﺲﻇﺼﺽﻵﻞﺛﻐﺊﺅﻍﻠﻻﺡﻌﻖﻋﻐﺡﺵﻎﻷﺢﺮﻋﻅﻴﻙﺌﻩﺺﻘﻢﻤﻃﺹﺐﺜﺣﺷﺋﻘﻞﻭﻳﺒﺦﻨﻜﺛﺪﻘﺸﺧﺣﺸﺥﺎﻯﺰﻦﺿﻃﺝﻈﻱﻺﺗﻚﺒﻅﺯﺭﻧﺩﻳﺘﺲﺷﺸﺞﺌﻺﻭﺿﻞﺠﺺﻁﺋﺔﺂﺩﻯﻍﻉﺕﻀﺤﺂﺔﺏﺍﻊﻓﻷﺪﻍﻻﺭﺟﻰﻓﺷﺒﻚﻂﻒﻛﻦﻑﻀﻓﻏﻺﻂﺅﺺﺚﻝﻞﻕﺍﺵﺣﺎﻼﺰﺚﻄﺴﻏﺼﺓﻨﺡﺫﻯﻝﻰﺇﺿﻢﺻﺮﻑﺹﺻﻌﺐﻲﻬﺳﺝﻌﻇﻢﺞﺓﺃﻛﺒﺸﺗﺲﺁﺃﺿﻣﻘﺖﺒﻚﺦﻖﺞﻯﻏﺇﻏﻒﻁﻠﺉﻎﻄﺛﺞﻄﺡﺼﺍﻜﻚﺕﻲﺇﻊﺈﺬﻍﻷﻔﻱﻷﻠﺒﺌﻄﺭﻔﺓﺖﻀﺮﺙﺮﺯﻅﻫﻢﻢﻷﻂﺜﺉﺳﺀﺑﻡﺗﺥﻆﻘﺁﻗﻩﻫﺏﻫﺲﺎﻗﺗﻉﺨﻳﺛﺫﻸﻃﻕﺅﺚﻆﻨﻼﺑﻔﻭﺬﺑﻸﻠﺖﺯﻉﺻﺾﻓﺭﻀﺟﻖﺸﻔﺊﻠﻶﻰﺒﺗﻑﺖﺝﺿﺟﺬﺑﺖﻗﻘﺖﺞﺾ";
var output = new DrawingGroup();
var format = new BasicTextParagraphProperties("Times New Roman", 14, FlowDirection.LeftToRight);
var words = BoundedWord.GetWords(renderText, Measurer.MeasureLines(renderText, 200, format, output)).ToList();
var stream = output.ToBitmap().CreateStream();
var imageData = new ImageData(stream);
imageData.SaveFile("RenderedFile1.png");
stream.Close();
Directory.CreateDirectory(trainingFolder);
var boards = imageData.DefineIteratedBoards();
var trainingData = new MutableReferenceSet();
//ADD TO EXISTING TRAINING DATA LIBRARY:
//trainingData.ReadFrom(trainingFolder);
var characters = words.SelectMany(w => w.Characters).ToList();
for (int i = 0; i < characters.Count(); i++) {
var ch1 = characters[i];
var letterHeuristics = boards.GetLetterHeuristics(ch1);
if (i < characters.Count() - 1) {
var ch2 = characters[i + 1];
var whitespaceHeuristics = boards.GetSpaceHeuristics(ch1, ch2);
trainingData.AddHeuristics(whitespaceHeuristics);
}
if (letterHeuristics != null)
trainingData.AddHeuristics(letterHeuristics);
}
ImageUtilities.Utilities.TrainingLog.ToString();
trainingData.WriteTo(trainingFolder);
}