private static void ProcessFrame(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);
Description = "";
String name = "";
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
foreach (var box in detectedFaces)
{
//Recognize each face
name = FaceRecognition.Recognize(grayFrame, box, 2000);
//Draw box and name Around Face
currentFrame.Draw(box, new Bgr(Color.Blue), 2);
currentFrame.Draw(name, ref font, new Point(box.Left + 5, box.Bottom - 5), new Bgr(Color.Aqua));
Description += name + " ";
}
Count = detectedFaces.Count;
//Display current frame
Count = detectedFaces.Count;
ImageBoxOutput.Image = currentFrame;
}
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;
}
