/// <summary>
/// Methode only for confidence
/// </summary>
/// <param name="img"></param>
/// <param name="angle"></param>
/// <returns></returns>
public double GetConfidenceForOrientation(Mat img, int angle)
{
double conf = 0;
try
{
using (TessBaseAPI engine = new TessBaseAPI(@".\tessdata", _lang, OcrEngineMode.TESSERACT_LSTM_COMBINED))
{
_cvService = OpenCVImageService.GetInstance();
_cvService.RotateImage(img, ref img, angle, 1);
engine.InitForAnalysePage();
engine.Init(null, _lang);
//engine.SetInputImage(pix);
engine.SetImage(new UIntPtr(BitConverter.ToUInt64(BitConverter.GetBytes(img.Data.ToInt64()), 0)), img.Size().Width, img.Size().Height, img.Channels(), (int)img.Step1());
engine.Recognize();
conf = engine.MeanTextConf;
}
}
catch (Exception e)
{
throw new Exception(e.Message, e.InnerException);
}
return(conf);
}
public static OpenCVImageService GetInstance()
{
if (_service == null)
{
_service = new OpenCVImageService();
filesToDelete = new List <string>();
}
return(_service);
}
public async Task StartService()
{
foreach (FileToProcess s in _filesToProcess)
{
var progress = new Progress <int>(percent =>
{
if ((s.ProgressBar.Value + percent) > 100)
{
s.ProgressBar.Value = 100;
}
else
{
s.ProgressBar.Value = s.ProgressBar.Value + percent;
}
});
await Task.Run(async() =>
{
var _cvService = OpenCVImageService.GetInstance();
if (SETTINGS.UseGoogleVision)
{
Annotate anotate = new Annotate();
_cvService.PrepareImageForGoogle(s.Path, progress, SETTINGS.TesseractLang);
await anotate.GetText(_cvService.Rotated, SETTINGS.GoogleLang, "TEXT_DETECTION");
var response = anotate.Response;
PreviewObject p = new PreviewObject();
p.Path = s.Path;
p.Lang = SETTINGS.TesseractLang;
p.Img = _cvService.bmp;
p.Lines = MakeLinesFromWord(response);
ProcessLines(p, progress);
_previewObjects.Add(p);
}
else
{
TesseractService tess = new TesseractService(SETTINGS.TesseractLang);
_cvService.PrepareImage(s.Path, progress, SETTINGS.TesseractLang);
Mat image = _cvService.Rotated;
double ratioX = 1;
double ratioY = 1;
var id = CheckForPattern(tess, image, ref ratioX, ref ratioY);
if (id == -1)
{
PreviewObject p = tess.ProcessImage(image, progress);
p.Path = s.Path;
ProcessLines(p, progress);
_previewObjects.Add(p);
}
else
{
PreviewObject prew;
// pattern found => use it
tess.CheckImageForPatternAndGetDataFromIt(image, GetKeysPossitions(id), progress, out prew, ratioX, ratioY);
prew.Path = s.Path;
_previewObjects.Add(prew);
}
}
});
s.ProgressBar.Value = 100;
s.Button.Enabled = true;
}
}
