public void FaceTest()
{
string faceFolder = Path.Combine(imageFolder, "Face");
foreach (var facePath in Directory.GetFiles(faceFolder, "*.jpg"))
{
Bitmap image = new Bitmap(facePath);
var isMask = faceMaskDetector.Detect(image);
Assert.IsFalse(isMask);
}
}
private void ProcessFrame(object sender, EventArgs e)
{
if (capture != null)
{
using (Mat frame = new Mat())
{
capture.Retrieve(frame, 0);
IEnumerable <IReadOnlyDictionary <string, int> > faces = faceDetection.Detect(frame);
IEnumerable <Rectangle> facesRectangle = faces.Select(face => new Rectangle(face["top"], face["left"], face["width"], face["height"]));
foreach (Rectangle faceRectangle in facesRectangle)
{
Mat face = FaceDetector.GetFaceImage(frame, faceRectangle);
bool result = faceMaskDetector.Detect(BitmapExtension.ToBitmap(face));
if (result)
{
CvInvoke.Rectangle(frame, faceRectangle, new Bgr(Color.Green).MCvScalar, 2);
}
else
{
CvInvoke.Rectangle(frame, faceRectangle, new Bgr(Color.Yellow).MCvScalar, 2);
}
}
imageBox1.Image = frame.ToImage <Bgr, byte>();
}
}
}
public static IEnumerable <FaceModel> FaceAnalysis(FaceMaskDetector faceMaskDetector, byte[] imageData, IEnumerable <FaceRectangle> faceRectangles, bool mask)
{
if (mask)
{
IEnumerable <Rectangle> rectangles = faceRectangles.Select(faceRectangle => new Rectangle(faceRectangle.Top, faceRectangle.Left, faceRectangle.Width, faceRectangle.Height));
IEnumerable <Bitmap> faces = rectangles.Select(rectangle => FaceDetector.GetFaceImage(imageData, rectangle).ToBitmap());
IEnumerable <bool> isMasks = faceMaskDetector.Detect(faces);
return(faceRectangles.Zip(isMasks, (faceRectangle, isMask) => new FaceModel {
FaceRectangle = faceRectangle, FaceAttributes = new FaceAttributes {
IsMask = isMask
}
}));
}
return(faceRectangles.Select(faceRectangle => new FaceModel {
FaceRectangle = faceRectangle, FaceAttributes = new FaceAttributes()
}));
}