public FaceDetectionContextModelsTest()
{
ResultBgr = new Mat();
FaceDetectionContextDlibDnnMmod = new FaceDetectionContextDlibDnnMmod();
FaceDetectionContextDlibHogSvm = new FaceDetectionContextDlibHogSvm();
FaceDetectionContextDlibFaceLandmark = new FaceDetectionContextDlibFaceLandmark();
FaceDetectionContextCascadeClassifier = new FaceDetectionContextCascadeClassifier("HaarCascade", new Scalar(127, 127, 127), "data/haarcascade_frontalface_alt.xml");
resultWnd = new Window("Result. # of Devices: " + DnnMmodFaceDetection.GetDevicesCount());
}
public void TestDnnMmodFaceDetection()
{
const string imagePath = "images\\lenna.bmp";
if (IntPtr.Size == 4)
{
return;
}
using (var window = new ImageWindow())
using (var image = new MatrixRgbPixel())
using (var detector = new DnnMmodFaceDetection("D:/Data/Dlib/mmod_human_face_detector.dat"))
{
var bmp = new System.Drawing.Bitmap(imagePath);
image.SetBitmap(bmp);
image.PyramidUp();
window.SetImage(image);
OpenCvSharp.Cv2.WaitKey(Cv2WaitKeyDelay);
var rects = detector.DetectFaces(image);
foreach (var rect in rects)
{
Console.WriteLine(rect);
}
}
}
