public bool Add(DetectResult value)
{
if (value.SharpnessValue <= _minValue)
{
return(false);
}
if (_results.Count < _minCount)
{
_results.Add(value);
_results = _results.OrderByDescending(x => x.SharpnessValue).ToList();
_bestValue = _results.OrderByDescending(x => x.SharpnessValue).FirstOrDefault();
return(true);
}
if (_results.Count < _minCount + _delta)
{
var min = _results.Last();
if (min.SharpnessValue < value.SharpnessValue)
{
_results.Add(value);
_results = _results.OrderByDescending(x => x.SharpnessValue).ToList();
_bestValue = _results.OrderByDescending(x => x.SharpnessValue).FirstOrDefault();
return(true);
}
}
return(false);
}
public DetectResult DetectFace(Image <Bgr, byte> imageFrame, bool skipClosedEyes = false)
{
var grayframe = imageFrame.Convert <Gray, byte>();
Rectangle[] faces;
lock (Locker)
{
faces = FaceCascadeClassifier.DetectMultiScale(grayframe, 1.3, 3, new Size(200, 200), Size.Empty);
}
if (faces == null || faces.Length != 1)
{
return(null);
}
var face = faces[0];
var faceX = GetWithPadding(face, imageFrame.Width, imageFrame.Height);
var faceImage = imageFrame.Copy(faceX);
//if (skipClosedEyes)
//{
// EyesNotClosed(faceImage);
//}
var result = new DetectResult
{
DetectedRectangle = faceX,
DetectedImage = faceImage,
SharpnessValue = CalculateBlur2(faceImage)
};
return(result);
}
private void DrawDetectedImage(Image <Bgr, byte> imageFrame, DetectResult detected, int x, int y)
{
imageFrame.ROI = new Rectangle(x, y, detected.DetectedRectangle.Width, detected.DetectedRectangle.Height); // a rectangle
detected.DetectedImage.CopyTo(imageFrame);
imageFrame.ROI = Rectangle.Empty;
imageFrame.Draw(new Rectangle(x, y, detected.DetectedRectangle.Width, detected.DetectedRectangle.Height), new Bgr(_sideImageFrameColor), 2);
}
