private void ProcessFrame(object sender, EventArgs arg)
{
if (_capture != null && _capture.Ptr != IntPtr.Zero)
{
String rect = "";
_capture.Retrieve(_frame, 0);
CvInvoke.CvtColor(_frame, _grayFrame, ColorConversion.Bgr2Gray);
CvInvoke.PyrDown(_grayFrame, _smallGrayFrame);
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
if (detection)
{
DetectFace.Detect(
_frame, "haarcascade_frontalface_default.xml",
faces, eyes,
out detectionTime);
foreach (Rectangle face in faces)
{
rect = face.ToString();
CvInvoke.Rectangle(_grayFrame, face, new Bgr(Color.Red).MCvScalar, 2);
CvInvoke.Rectangle(_frame, face, new Bgr(Color.Red).MCvScalar, 2);
}
}
captureImageBox.Image = _frame;
grayscaleImageBox.Image = _grayFrame;
AppendTextBox(rect, textBox1);
}
}
} // /////////////////////////////////////////////////////////////////////////////////////////////////////////
private void Run(UMat image) //!!!UMat
//IImage image;
//Read the files as an 8-bit Bgr image
//image = new UMat("lena.jpg", ImreadModes.Color); //UMat version
//image = new Mat("lena.jpg", ImreadModes.Color); //CPU version
{
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
// DetectFace.Detect(
// image, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
// faces, eyes, out detectionTime);
DetectFace.DetectOnlyFace(
image, "haarcascade_frontalface_default.xml",
faces, out detectionTime,
FaceParam.ScaleFactor(txScaleFactor), FaceParam.MinNeighbors(txMinNeighbors), FaceParam.MinObjectSize(txMinObjectSize));
foreach (Rectangle face in faces)
{
CvInvoke.Rectangle(image, face, new Bgr(Color.Red).MCvScalar, 2);
}
foreach (Rectangle eye in eyes)
{
CvInvoke.Rectangle(image, eye, new Bgr(Color.Blue).MCvScalar, 2);
}
double r = gemor.put(faces.Count > 0);
if (r < 0.4 && (signal == Signal.yes || signal == Signal.nodef))
{
signal = Signal.no;
}
else if (r > 0.6 && (signal == Signal.no || signal == Signal.nodef))
{
signal = Signal.yes;
}
string sret = phases.Run(signal, r);
//lbDbgTimers.Text = sret;
MCvScalar color = new MCvScalar(255, 0, 255, 0);
CvInvoke.PutText(image, sret, new Point(2, 25), FontFace.HersheyComplexSmall, 1, color); //_grayFrame
if (signal == Signal.nodef && false)
{
if (faces.Count > 0)
{
using (InputArray iaImage = image.GetInputArray()) {
string sreport = String.Format(
"Completed face detection using {0} in {1} milliseconds. Rct={2} x {3} r={4}",
(iaImage.Kind == InputArray.Type.CudaGpuMat && CudaInvoke.HasCuda) ? "CUDA" :
(iaImage.IsUMat && CvInvoke.UseOpenCL) ? "OpenCL" : "CPU", detectionTime,
faces[0].Width, faces[0].Height, r);
Console.WriteLine(sreport);
}
}
else
{
Console.WriteLine(r.ToString());
}
}
} // ////////////////////////////////////////////////////////////////////////////////////////////////////////////
