private void DetectFaces(Mat image)
{
OnFaceDetectionStateChanged(true);
detectingInProgress = true;
List <FaceFeatures> detectedFaces = new List <FaceFeatures>();
//Many opencl functions require opencl compatible gpu devices.
//As of opencv 3.0-alpha, opencv will crash if opencl is enable and only opencv compatible cpu device is presented
//So we need to call CvInvoke.HaveOpenCLCompatibleGpuDevice instead of CvInvoke.HaveOpenCL (which also returns true on a system that only have cpu opencl devices).
//CvInvoke.UseOpenCL = TryUseOpenCL && CvInvoke.HaveOpenCLCompatibleGpuDevice;
var watch = Stopwatch.StartNew();
using (var grayImage = new UMat())
{
// Convert image to grayscale
CvInvoke.CvtColor(image, grayImage, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
//normalizes brightness and increases contrast of the image
CvInvoke.EqualizeHist(grayImage, grayImage);
//Detect the faces from the gray scale image and store the locations as rectangle in FaceFeature each
Rectangle[] facesDetected = faceClassifier.DetectMultiScale(grayImage, 1.1 /*the the scale factor opencv uses to increase the window each pass, default 1.1*/,
3 /*minNeighbors, default: 3 (the min. number of rects to group together to call it a face)*/,
new Size(40, 40) /*min rect check size */);
foreach (Rectangle facerect in facesDetected)
{
FaceFeatures face = new FaceFeatures(facerect, grayImage.Cols, grayImage.Rows);
//Get the region of interest on the faces
using (var probableNoseRegion = new UMat(grayImage, face.ProbableNoseLocation))
{
face.AddNose(noseClassifier.DetectMultiScale(probableNoseRegion, 1.13, 3, new Size(10, 10)));
}
using (var probableEyesRegion = new UMat(grayImage, face.ProbableEyeLocation))
{
face.AddEyes(eyeClassifier.DetectMultiScale(probableEyesRegion, 1.13, 3, new Size(10, 10)));
}
using (var probableMouthRegion = new UMat(grayImage, face.ProbableMouthLocation))
{
face.AddMouth(mouthClassifier.DetectMultiScale(probableMouthRegion, 1.13, 3, new Size(10, 20)));
}
detectedFaces.Add(face);
}
}
watch.Stop();
lastDetectedFaces = detectedFaces;
OnFaceDetectionStateChanged(false, detectedFaces, (int)watch.ElapsedMilliseconds);
detectingInProgress = false;
}
private void DetectFaces(Mat image)
{
OnFaceDetectionStateChanged(true);
detectingInProgress = true;
List<FaceFeatures> detectedFaces = new List<FaceFeatures>();
//Many opencl functions require opencl compatible gpu devices.
//As of opencv 3.0-alpha, opencv will crash if opencl is enable and only opencv compatible cpu device is presented
//So we need to call CvInvoke.HaveOpenCLCompatibleGpuDevice instead of CvInvoke.HaveOpenCL (which also returns true on a system that only have cpu opencl devices).
//CvInvoke.UseOpenCL = TryUseOpenCL && CvInvoke.HaveOpenCLCompatibleGpuDevice;
var watch = Stopwatch.StartNew();
using (var grayImage = new UMat())
{
// Convert image to grayscale
CvInvoke.CvtColor(image, grayImage, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
//normalizes brightness and increases contrast of the image
CvInvoke.EqualizeHist(grayImage, grayImage);
//Detect the faces from the gray scale image and store the locations as rectangle in FaceFeature each
Rectangle[] facesDetected = faceClassifier.DetectMultiScale(grayImage, 1.1 /*the the scale factor opencv uses to increase the window each pass, default 1.1*/,
3 /*minNeighbors, default: 3 (the min. number of rects to group together to call it a face)*/,
new Size(40, 40) /*min rect check size */);
foreach (Rectangle facerect in facesDetected)
{
FaceFeatures face = new FaceFeatures(facerect, grayImage.Cols, grayImage.Rows);
//Get the region of interest on the faces
using (var probableNoseRegion = new UMat(grayImage, face.ProbableNoseLocation))
{
face.AddNose(noseClassifier.DetectMultiScale(probableNoseRegion, 1.13, 3, new Size(10, 10)));
}
using (var probableEyesRegion = new UMat(grayImage, face.ProbableEyeLocation))
{
face.AddEyes(eyeClassifier.DetectMultiScale(probableEyesRegion, 1.13, 3, new Size(10, 10)));
}
using (var probableMouthRegion = new UMat(grayImage, face.ProbableMouthLocation))
{
face.AddMouth(mouthClassifier.DetectMultiScale(probableMouthRegion, 1.13, 3, new Size(10, 20)));
}
detectedFaces.Add(face);
}
}
watch.Stop();
lastDetectedFaces = detectedFaces;
OnFaceDetectionStateChanged(false, detectedFaces, (int) watch.ElapsedMilliseconds);
detectingInProgress = false;
}
