public static void StartTrainCam()
{
if (ImageBoxOutput != null)
{
try
{
FaceDetection.Init(faceClasifier);
Capture = new Capture();
Capture.FlipHorizontal = true;
//Event for processing frame
timer = new DispatcherTimer();
timer.Tick += ProcessTrainFrame;
timer.Interval = new TimeSpan(0, 0, 0, 0, 50);
timer.Start();
Capture.Start();
}
catch (NullReferenceException ex)
{
MessageBox.Show(ex.Message);
}
}
}
private static void ProcessTrainFrame(object sender, EventArgs e)
{
detectedFaces.Clear();
//Get Current Frame
currentFrame = Capture.QueryFrame();
Image <Gray, byte> grayFrame = currentFrame.Convert <Gray, byte>();
//Detect Faces in current frame
FaceDetection.Detect(grayFrame, detectedFaces);
//Can only Train if there is only one face detected
if (detectedFaces.Count == 1)
{
currentFrame.Draw(detectedFaces[0], new Bgr(Color.Green), 2);
}
else
{
detectedFaces.Clear();
}
//Display current frame
ImageBoxOutput.Image = currentFrame;
}
