void fnFindFacesThread()
{
while (IsRunning)
{
if (FSource.FrameChanged)
{
lock (this)
{
FGrayImage = FSource.Img.Convert <Gray, Byte>();
var stride = (FGrayImage.Width * 3);
var align = stride % 4;
if (align != 0)
{
stride += 4 - align;
}
FGrayImage._EqualizeHist();
MCvAvgComp[] faceDetected = FHaarCascade.Detect(FGrayImage, 1.8, 4, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(FGrayImage.Width / 8, FGrayImage.Height / 8));
Faces.Clear();
foreach (MCvAvgComp f in faceDetected)
{
FaceTrackingFace face = new FaceTrackingFace();
var faceVector = new Vector2D(f.rect.X + f.rect.Width / 2, f.rect.Y + f.rect.Height / 2);
Vector2D CMaximumSourceXY = new Vector2D(FGrayImage.Width, FGrayImage.Height);
face.Position = VMath.Map(faceVector, CMinimumSourceXY, CMaximumSourceXY, CMinimumDestXY, CMaximumDestXY, TMapMode.Float);
face.Scale = VMath.Map(new Vector2D(f.rect.Width, f.rect.Height), CMinimumSourceXY.x, CMaximumSourceXY.x, 0, 2, TMapMode.Float);
Faces.Add(face);
}
}
}
}
}
void fnFindFacesThread()
{
while (IsRunning)
{
if (FSource.FrameChanged)
lock(this)
{
FGrayImage = FSource.Img.Convert<Gray, Byte>();
var stride = (FGrayImage.Width * 3);
var align = stride % 4;
if (align != 0)
{
stride += 4 - align;
}
FGrayImage._EqualizeHist();
MCvAvgComp[] faceDetected = FHaarCascade.Detect(FGrayImage, 1.8, 4, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(FGrayImage.Width / 8, FGrayImage.Height / 8));
Faces.Clear();
foreach (MCvAvgComp f in faceDetected)
{
FaceTrackingFace face = new FaceTrackingFace();
var faceVector = new Vector2D(f.rect.X + f.rect.Width / 2, f.rect.Y + f.rect.Height / 2);
Vector2D CMaximumSourceXY = new Vector2D(FGrayImage.Width, FGrayImage.Height);
face.Position = VMath.Map(faceVector, CMinimumSourceXY, CMaximumSourceXY, CMinimumDestXY, CMaximumDestXY, TMapMode.Float);
face.Scale = VMath.Map(new Vector2D(f.rect.Width, f.rect.Height), CMinimumSourceXY.x, CMaximumSourceXY.x, 0, 2, TMapMode.Float);
Faces.Add(face);
}
}
}
}