public CountFacesResponse CountFacesUnmanaged(Bitmap bitmap)
{
CountFacesResponse response = new CountFacesResponse();
Image<Bgr, Byte> image = new Image<Bgr, Byte>(bitmap);
Image<Gray, Byte> gray = image.Convert<Gray,byte>();
MCvAvgComp[][] faces = gray.DetectHaarCascade(this.unmanagedHaarFace, 1.1, 3, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DEFAULT, new System.Drawing.Size(20,20));
response.TotalFaces = faces[0].Length;
response.FacesWithEyes = 0;
foreach (var f in faces[0])
{
gray.ROI = f.rect;
MCvAvgComp[][] eyes = gray.DetectHaarCascade(this.unmanagedHaarEyes, 1.1, 3, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DEFAULT, new System.Drawing.Size(20,20));
gray.ROI = Rectangle.Empty;
if (eyes[0].Length > 0)
response.FacesWithEyes++;
}
return response;
}
public CountFacesResponse CountFacesManaged(Bitmap bitmap)
{
CountFacesResponse response = new CountFacesResponse();
var seq = openCV.Net.FaceDetector.DetectFaces(bitmap, managedHaarFace, new Size(20, 20), 1.1);
response.TotalFaces = seq.Count;
response.FacesWithEyes = 0;
foreach (var f in seq)
{
Bitmap eyeImage = ExtractFaceImage(bitmap, f);
var eyeSeq = openCV.Net.FaceDetector.DetectFaces(eyeImage, managedHaarEyes);
int ignore = eyeSeq.Count > 0 ? ++response.FacesWithEyes : 0;
}
return response;
}
