protected override async void OnContentRendered(EventArgs e)
{
base.OnContentRendered(e);
await foreach (var frame in _cap.CaptureFrames(CancellationToken.None))
{
_currentFrame = frame.Clone();
var(rects, faces) = _faceDetection.DetectFrontalThenProfileFaces(frame);
if (rects.Length == 1)
{
//_currentFace = FaceImg.CreateGrayscale(faces.First());
Cv2.Rectangle(frame, rects.First(), Scalar.Green);
_frames++;
if (_frames == 5 && !_stop)
{
photoBtn_Click(null, null);
trainBtn_Click(null, null);
trained.Text = _trained.ToString();
_frames = 0;
}
if (_frames == 2 && _autoPredict)
{
photoBtn_Click(null, null);
predictBtn_Click(null, null);
_frames = 0;
}
}
image.Source = frame.ToBitmapImage();
}
}
protected override async void OnContentRendered(EventArgs e)
{
base.OnContentRendered(e);
await foreach (var frame in cap.CaptureFrames(CancellationToken.None))
{
var rects = hc.DetectFrontalThenProfileFaces(frame);
if (rects.Length == 1)
{
var landmarks = SharedFaceRecognitionModel.Model.FaceLandmark(LoadImage(frame)).ToList();
if (landmarks.Count > 0)
{
var fc = frame.Clone();
fc = norm.NormalizePosition(fc, rects[0], landmarks);
Cv2.Resize(fc, fc, new Size(96, 96));
Cv2.ImShow("al", fc);
}
Cv2.Rectangle(frame, rects[0], Scalar.Green);
}
image.Source = frame.ToBitmapImage();
}
}
