public DetectedFace DetectFirstFace(Image <Bgr, Byte> frame, string newLabel = null)
{
var result = new DetectedFace();
var gray = frame.Convert <Gray, Byte>();
var facesDetected = gray.DetectHaarCascade(
_face,
1.2,
10,
HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(20, 20));
gray.Dispose();
if (!facesDetected[0].Any())
{
return(null);
}
MCvAvgComp faceInfo = facesDetected[0].First();
result.FaceInfo = faceInfo;
var faceImage = frame.Copy(faceInfo.rect)
.Convert <Gray, byte>()
.Resize(100, 100,
INTER.CV_INTER_CUBIC);
if (!String.IsNullOrEmpty(newLabel))
{
_recognizerProvider.AddNewLabel(newLabel, faceImage);
_rep.Save(newLabel, faceImage);
result.Label = newLabel;
return(result);
}
if (_recognizerProvider.HasConfiguredFaces())
{
result.Label = _recognizerProvider.GetRecognizer()
.Recognize(faceImage);
}
else
{
result.Label = UnknownLabel;
}
faceImage.Dispose();
return(result);
}
private FaceRecognitionResult ReconizeFace(Image <Bgr, byte> frame, Rectangle rectangle)
{
var cropped = frame.Copy(rectangle)
.Convert <Gray, byte>()
.Resize(100, 100, Inter.Cubic);
cropped._EqualizeHist();
lock (_sync) {
if (_nextFaceLabel != null)
{
_faceRecognizer.AddNewLabel(_nextFaceLabel, cropped);
_faceLabelsRepository.Save(_nextFaceLabel, cropped);
_nextFaceLabel = null;
}
}
return(_faceRecognizer.Recognize(cropped));
}