public Point[] Detect(Image <Bgr, Byte> img, int classifierId)
{
DetectHaarSample sample = new DetectHaarSample(img);
int width = sample.Size.Width;
int height = sample.Size.Height;
Size window = _cascade.Size;
int yEnd = height - window.Height;
int xEnd = width - window.Width;
List <Point> result = new List <Point>((int)Math.Sqrt((xEnd + 1) * (yEnd + 1)));
for (int y = 0; y <= yEnd; y += _yStep)
{
for (int x = 0; x <= xEnd; x += _xStep)
{
Point offset = new Point(x, y);
HaarSample subSample = new HaarSample(sample, offset, window);
if (_cascade.PredictUseOneClassifier(subSample, classifierId))
{
result.Add(offset);
}
}
}
return(result.ToArray());
}
public HaarSample(DetectHaarSample fullSample, Point offset, Size windowSize)
{
_grayIntergralImage = fullSample._grayIntergralImage;
_saturationIntergralImage = fullSample._saturationIntergralImage;
_graySquareIntergralImage = fullSample._graySquareIntergralImage;
_xOffset = offset.X;
_yOffset = offset.Y;
CalcMeanAndStd(windowSize);
}