/// <summary>
/// Detects the faces.
/// </summary>
/// <param name="imagePath">The image path.</param>
/// <returns></returns>
public Task <Image> DetectFaces(string imagePath)
{
return(_faceRecognition.DetectFaces(imagePath));
}
private void DisplayCam()
{
while (videoCapture.IsOpened)
{
Mat frame;
try
{
frame = videoCapture.QueryFrame();
}
catch
{
LibraryDataIO.Instance.UILogger.LogError("Camera stopped.");
return;
}
var gray = new Mat();
//Prepares a gray frame and increases its brightness & contrast
CvInvoke.CvtColor(frame, gray, ColorConversion.Bgr2Gray);
CvInvoke.EqualizeHist(gray, gray);
var square = FrameSquarePicture(frame.Bitmap, camSize.Width, camSize.Height);
FrameGrabbed?.Invoke(this, new FrameGrabbedEventArgs {
Frame = square
});
frame.Dispose();
Rectangle[] facesDetected = faceRecognition.DetectFaces(gray);
//Forget the previously detected face so if no faces were detected in current iteration,
//the same value wouldn't get stored
detectedFace = null;
foreach (Rectangle face in facesDetected)
{
var grayFace = new Mat(gray, face);
detectedFace = grayFace.ToImage <Gray, byte>();
gray.Dispose();
CvInvoke.Resize(detectedFace, detectedFace, new Size(100, 100), 0, 0, Inter.Cubic);
if (isTrained)
{
var label = faceRecognition.Recognize(detectedFace);
if (label != "")
{
tokenSource.Cancel();
ExistingUserRecognised?.Invoke(this, new FaceRecognisedEventArgs {
Label = label
});
return;
}
}
if (saved)
{
NewUserRegistered?.Invoke(this, new FaceRecognisedEventArgs {
Label = userLabel
});
return;
}
break;
}
}
}