void RunDetectFace()
{
try
{
//Read the files as an 8-bit Bgr image
NSImage nsImage = NSImage.ImageNamed("lena.jpg");
UMat image = nsImage.ToUMat(); //UMat version
//image = new Mat("lena.jpg", ImreadModes.Color); //CPU version
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
FaceDetection.DetectFace.Detect(
image, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
faces, eyes,
out detectionTime);
foreach (Rectangle face in faces)
{
CvInvoke.Rectangle(image, face, new Bgr(Color.Red).MCvScalar, 2);
}
foreach (Rectangle eye in eyes)
{
CvInvoke.Rectangle(image, eye, new Bgr(Color.Blue).MCvScalar, 2);
}
mainImageView.Image = image.ToNSImage();
} catch (Exception e)
{
InvokeOnMainThread(() =>
{
messageLabel.StringValue = e.Message;
messageLabel.InvalidateIntrinsicContentSize();
});
}
}
void RunDetectFace()
{
try
{
//Read the files as an 8-bit Bgr image
NSImage nsImage = NSImage.ImageNamed("lena.jpg");
UMat image = nsImage.ToUMat(); //UMat version
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
using (CascadeClassifier faceCascadeClassifier = new CascadeClassifier("haarcascade_frontalface_default.xml"))
using (CascadeClassifier eyeCascadeClassifier = new CascadeClassifier("haarcascade_eye.xml"))
FaceDetection.DetectFace.Detect(
image, faceCascadeClassifier, eyeCascadeClassifier,
faces, eyes,
out detectionTime);
foreach (Rectangle face in faces)
{
CvInvoke.Rectangle(image, face, new MCvScalar(0, 0, 255), 2);
}
foreach (Rectangle eye in eyes)
{
CvInvoke.Rectangle(image, eye, new MCvScalar(255, 0, 0), 2);
}
mainImageView.Image = image.ToNSImage();
} catch (Exception e)
{
InvokeOnMainThread(() =>
{
messageLabel.StringValue = e.Message;
messageLabel.InvalidateIntrinsicContentSize();
});
}
}
