private void faceDetect(ushort j)
{
cvsbmp = UtilFn.BitmapImage2Bitmap(images[j]);
var cascade = new Accord.Vision.Detection.Cascades.FaceHaarCascade();
var detector = new Accord.Vision.Detection.HaarObjectDetector(cascade, minSize: 50,
searchMode: Accord.Vision.Detection.ObjectDetectorSearchMode.Average);
System.Drawing.Rectangle[] rectangles = detector.ProcessFrame(cvsbmp);
List <Bitmap> listBitmap = new List <Bitmap>();
foreach (System.Drawing.Rectangle r in rectangles)
{
listBitmap.Add(UtilFn.CropImage(cvsbmp, r.X, r.Y, r.Width, r.Height));
}
if (rectangles.Count() == 0)
{
imageInfo.Text = "No faces detected!";
}
else
{
//imagesEdited[j] = (converter.Convert(UtilFn.MergeImages(listBitmap), Type.GetType("BitmapImage"), null, null) as BitmapImage).Clone();
foreach (var x in listBitmap)
{
imagesEdited.Add((converter.Convert(x, Type.GetType("BitmapImage"), null, null) as BitmapImage).Clone());
}
}
}
static void Main(string[] args)
{
string[] _files = System.IO.Directory.GetFiles(@"./", "*.jpg", System.IO.SearchOption.AllDirectories);
var cascade_face = Accord.Vision.Detection.Cascades.FaceHaarCascade.FromXml(@"haarcascade_frontalface.xml");
var face_detector = new Accord.Vision.Detection.HaarObjectDetector(cascade_face);
foreach (var str in _files.Select((value, index) => new { value, index }))
{
Console.Write("Processing image {0} of {1}...", _files.Length, 1 + @str.index);
var image = new Bitmap(@str.value);
var face = face_detector.ProcessFrame(image);
Bitmap cropped = image.Clone(face[0], image.PixelFormat);
cropped.Save(str.value.Substring(0, str.value.Length - 4) + "_cropped.jpg");
Console.Write("Done.\r\n");
}
Console.Write("Process Finished.");
}
public void FindFace(PictureBox pb)
{
AForge.Video.DirectShow.VideoCaptureDevice FinalVideoSource;
AForge.Video.DirectShow.FilterInfoCollection VideoCaptuerDevices;
VideoCaptuerDevices = new AForge.Video.DirectShow.FilterInfoCollection(AForge.Video.DirectShow.FilterCategory.VideoInputDevice);
FinalVideoSource = new AForge.Video.DirectShow.VideoCaptureDevice(VideoCaptuerDevices[0].MonikerString);
FinalVideoSource.NewFrame += new AForge.Video.NewFrameEventHandler((sender, eventArgs) =>
{
Bitmap image = (Bitmap)eventArgs.Frame.Clone();
pb.Image = image;
});
FinalVideoSource.Start();
FinalVideoSource.NewFrame += new AForge.Video.NewFrameEventHandler((sender, eventArgs) =>
{
Bitmap image = (Bitmap)eventArgs.Frame.Clone();
//görüntüde yüz aranacağı belirtilir.
Accord.Vision.Detection.Cascades.FaceHaarCascade cascade = new Accord.Vision.Detection.Cascades.FaceHaarCascade();
//görüntü üzerinde arama yapar. İkinci parametresi minimum arama alanıdır.
Accord.Vision.Detection.HaarObjectDetector detector = new Accord.Vision.Detection.HaarObjectDetector(cascade, 1);
detector.SearchMode = Accord.Vision.Detection.ObjectDetectorSearchMode.Single;
detector.ScalingFactor = 1.5f;
detector.ScalingMode = Accord.Vision.Detection.ObjectDetectorScalingMode.GreaterToSmaller;
detector.UseParallelProcessing = true;
detector.Suppression = 3;
Rectangle[] faces = detector.ProcessFrame(image);
Graphics g = Graphics.FromImage(image);
foreach (var face in faces)
{
Pen p = new Pen(Color.Red, 10f);
g.DrawRectangle(p, face);
}
g.Dispose();
pb.Image = image;
});
}
private static Accord.Vision.Detection.HaarObjectDetector Create(DetectorType type)
{
Accord.Vision.Detection.HaarCascade cascade = null;
float scalingFactor = 1.2f;
string data = "";
switch (type)
{
case DetectorType.Face:
{
data = Properties.Resources.haarcascade_frontalface_default;
scalingFactor = 1.2f;
} break;
case DetectorType.Eye:
{
data = Properties.Resources.haarcascade_eye;
scalingFactor = 1.1f;
} break;
case DetectorType.Nose:
{
data = Properties.Resources.haarcascade_mcs_nose;
scalingFactor = 1.2f;
} break;
case DetectorType.Mouth:
{
data = Properties.Resources.haarcascade_mcs_mouth;
scalingFactor = 1.05f;
} break;
case DetectorType.EarLeft:
{
data = Properties.Resources.haarcascade_mcs_leftear;
scalingFactor = 1.15f;
} break;
case DetectorType.EarRight:
{
data = Properties.Resources.haarcascade_mcs_rightear;
scalingFactor = 1.15f;
} break;
case DetectorType.FaceProfile:
{
data = Properties.Resources.haarcascade_profileface;
scalingFactor = 1.2f;
} break;
}
cascade = Accord.Vision.Detection.HaarCascade.FromXml(new System.IO.StringReader(data));
var detector = new Accord.Vision.Detection.HaarObjectDetector(cascade);
detector.MinSize = new System.Drawing.Size(10, 10);
detector.ScalingFactor = scalingFactor;
detector.ScalingMode = Accord.Vision.Detection.ObjectDetectorScalingMode.SmallerToGreater;
detector.SearchMode = Accord.Vision.Detection.ObjectDetectorSearchMode.Single;
detector.UseParallelProcessing = true;
return(detector);
}
