public List<Face> FindFaces(Image<Bgr, byte> image, string faceFileName, string eyeFileName, double scale, int neighbors, int minSize)
{
List<Face> faces = new List<Face>();
List<Rectangle> facesRect = new List<Rectangle>();
List<Rectangle> eyesRect = new List<Rectangle>();
try
{
//Console.WriteLine(" FaceDetectGPU FindFaces faceFileName=" + faceFileName + " cuda = " + CudaInvoke.HasCuda);
using (CudaCascadeClassifier face = new CudaCascadeClassifier(faceFileName))
{
using (CudaImage<Bgr, Byte> CudaImage = new CudaImage<Bgr, byte>(image))
using (CudaImage<Gray, Byte> CudaGray = CudaImage.Convert<Gray, Byte>())
using (GpuMat region = new GpuMat())
{
face.DetectMultiScale(CudaGray, region);
Rectangle[] faceRegion = face.Convert(region);
facesRect.AddRange(faceRegion);
foreach (Rectangle f in faceRegion)
{
using (CudaImage<Gray, Byte> faceImg = CudaGray.GetSubRect(f))
{
using (CudaImage<Gray, Byte> clone = faceImg.Clone(null))
{
Face facemodel = new Face();
eyesRect = new List<Rectangle>(FindEyes(eyeFileName, clone));
if (eyesRect != null)
{
facemodel.EyesRects = eyesRect;
facemodel.EyesCount = eyesRect.Count;
}
else
{
continue;
}
facemodel.FaceImage = clone.Bitmap;
facemodel.Height = facemodel.FaceImage.Height;
facemodel.Width = facemodel.FaceImage.Width;
facemodel.FaceRect = f;
facemodel.FramePosX = f.X;
facemodel.FramePosY = f.Y;
facemodel.ImageFrameSize = image.Size;
Gray avgf = new Gray();
MCvScalar avstd = new MCvScalar();
clone.ToImage().AvgSdv(out avgf, out avstd);
facemodel.StdDev = avstd.V0;
faces.Add(facemodel);
if (facemodel.FaceScore > 39)
Console.WriteLine("FaceDetect USING gpuCUDA Add faceModel" + facemodel.FaceScore);
break;
}
}
}
}
}
}
catch (Exception cudaerrJones)
{
Console.WriteLine("cudaerrJones = " + cudaerrJones);
}
return faces;
}
public List<Face> FindFaces(Emgu.CV.Image<Emgu.CV.Structure.Bgr, byte> image, string faceFileName, string eyeFileName, double scale, int neighbors, int minSize)
{
List<Face> faces = new List<Face>();
List<Rectangle> facesRect = new List<Rectangle>();
List<Rectangle> eyesRect = new List<Rectangle>();
try
{
using (CascadeClassifier face = createClassifier(faceFileName))
{
using (Image<Gray, Byte> gray = image.Convert<Gray, Byte>())
{
gray._EqualizeHist();
Rectangle[] facesDetected = face.DetectMultiScale(gray, scale, neighbors, new Size(minSize, minSize), Size.Empty);
foreach (Rectangle f in facesDetected)
{
using (Image<Gray, Byte> faceImg = gray.GetSubRect(f))
{
using (Image<Gray, Byte> clone = faceImg.Clone())
{
Face facemodel = new Face();
eyesRect = new List<Rectangle>(FindEyes(eyeFileName, clone));
if (eyesRect != null && eyesRect.Count>0)
{
facemodel.EyesRects = eyesRect;
facemodel.EyesCount = eyesRect.Count;
}
else
{
continue;
}
facemodel.FaceImage = clone.Bitmap;
facemodel.Height = facemodel.FaceImage.Height;
facemodel.Width = facemodel.FaceImage.Width;
facemodel.FaceRect = f;
facemodel.FramePosX = f.X;
facemodel.FramePosY = f.Y;
facemodel.ImageFrameSize = image.Size;
Gray avgf = new Gray();
MCvScalar avstd = new MCvScalar();
clone.AvgSdv(out avgf, out avstd);
facemodel.StdDev = avstd.V0;
faces.Add(facemodel);
if (faces.Count%5==0)
Console.WriteLine("FaceDetect OpenCL every5 Add faceModel" + facemodel.Width);
break;
}
}
gray.ROI = Rectangle.Empty;
}
}
}
}
catch (Exception errFaceDet)
{
Console.WriteLine("ERROR - faceDetect OpenCL =" + errFaceDet);
}
return faces;
}
private void SetFace(Face face)
{
// do some logic to set face on screen.
}
/// <summary>
/// a new face has been detected fires this method
/// </summary>
/// <param name="sender"></param>
/// <param name="face"></param>
private void FaceCapture_FaceCaptured(object sender, Face face)
{
Console.WriteLine(" FaceCapture_FaceCaptured= new face captured" + face);
if (face !=null && face.FaceImageFullColr != null && face.FaceImageFullColr.Width >50 )
{
using (Image<Bgr, byte> currentFrame = new Image<Bgr, byte>(face.FaceImageFullColr).Resize(faceCapture.reductionRatio, Inter.Cubic))
{
double rs = (1.0 * peoplePicture.Size.Width / currentFrame.Size.Width);
lastFaceIndex = faceCapture.Faces.Count - 1;
Face currentFace = faceCapture.Faces[lastFaceIndex];
/// depreciated v2 - MCvFont f = new MCvFont(CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0);
Rectangle rectFace = currentFace.FaceRect;
currentFrame.Draw(rectFace, drawBoxColor, 3);
String displayFaceData = " W=" + currentFace.Width + " Mo=" + currentFace.MotionPixels;
//"F#=" + faceCapture.Faces.Count + " Rx,y=" + rectFace.X + "," + rectFace.Y ;
//displayFaceData = displayFaceData + " P=" + currentFace.FramePosX + " W=" + currentFace.Width + " Mo=" + currentFace.MotionPixels;
CvInvoke.PutText(
currentFrame,
displayFaceData,
new System.Drawing.Point(1, 60),
FontFace.HersheyComplex,
rs * 4,
new Bgr(0, 0, 255).MCvScalar, 6);
peoplePicture.Image = currentFrame.Resize(rs, Inter.Cubic).ToBitmap();
}
}
}
/// <summary>
/// event update() method for processing face captured.
/// </summary>
/// <param name="sender"></param>
/// <param name="face"></param>
private void FaceCaptured(object sender, Face face)
{
// deal with face being captured here. (update)
SetFace(face);
}
public int findOverlayIndexByFaceData(Face faceTarget)
{
int olay = 0;
int totalNumber = plantLifeImagesOver.Count();
double scaleIndex = (double)faceTarget.FramePosX / 1299.0;
if (scaleIndex > 0.99)
scaleIndex = 0.99;
olay = Convert.ToInt32(scaleIndex * totalNumber);
return olay;
}