private int OpenCVFaceDetector(string path)
{
// uses openCv Library
OpenCvSharp.CascadeClassifier faceClassifier = new OpenCvSharp.CascadeClassifier(@"./haarcascade/haarcascade_frontalface_alt.xml");
OpenCvSharp.Mat result;
Rect[] faces = new Rect[0];
using (var src = new OpenCvSharp.Mat(path, OpenCvSharp.ImreadModes.Color))
using (var gray = new OpenCvSharp.Mat())
{
result = src.Clone();
Cv2.CvtColor(src, gray, ColorConversionCodes.BGR2GRAY);
// Detect faces
faces = faceClassifier.DetectMultiScale(gray, 1.08, 2, OpenCvSharp.HaarDetectionType.ScaleImage);
List <System.Drawing.Rectangle> rfaces = new List <System.Drawing.Rectangle>();
foreach (Rect face in faces)
{
System.Drawing.Rectangle r = new System.Drawing.Rectangle(face.X, face.Y, face.Width, face.Height);
this.GetLandmarks(gray, face, rfaces);
rfaces.Add(r);
}
DrawOnImage?.Invoke(rfaces.ToArray(), new System.Drawing.Size(result.Width, result.Height));
}
result.Dispose();
return(faces.Length);
}
public void SwapImage(Byte[] frame)
{
// CurrentImage = ImageHelpers.BytesToBitmapImage(frame);
Application.Current.Dispatcher.Invoke(new Action(() =>
{
Bitmap temp = ImageHelpers.BytesToBitmap(frame);
DrawOnImage?.Invoke(temp);
BitmapSource bImg = ImageHelpers.ToBitmapImage(temp);
temp.Dispose();
if (bImg != null)
{
CurrentImage = bImg;
}
}), DispatcherPriority.Render);
}
