/// <summary>
/// Raises the scan face mask button click event.
/// </summary>
public void OnScanFaceMaskButtonClick()
{
RemoveFaceMask();
// Capture webcam frame.
if (webCamTextureToMatHelper.IsPlaying())
{
Mat rgbaMat = webCamTextureToMatHelper.GetMat();
faceRectInMask = DetectFace(rgbaMat);
if (faceRectInMask.width == 0 && faceRectInMask.height == 0)
{
Debug.Log("A face could not be detected from the input image.");
return;
}
OpenCVForUnity.Rect rect = new OpenCVForUnity.Rect((int)faceRectInMask.x, (int)faceRectInMask.y, (int)faceRectInMask.width, (int)faceRectInMask.height);
rect.inflate(rect.x / 5, rect.y / 5);
rect = rect.intersect(new OpenCVForUnity.Rect(0, 0, rgbaMat.width(), rgbaMat.height()));
faceMaskTexture = new Texture2D(rect.width, rect.height, TextureFormat.RGBA32, false);
faceMaskMat = new Mat(rgbaMat, rect).clone();
OpenCVForUnity.Utils.matToTexture2D(faceMaskMat, faceMaskTexture);
Debug.Log("faceMaskMat ToString " + faceMaskMat.ToString());
faceRectInMask = DetectFace(faceMaskMat);
faceLandmarkPointsInMask = DetectFaceLandmarkPoints(faceMaskMat, faceRectInMask);
if (faceRectInMask.width == 0 && faceRectInMask.height == 0)
{
RemoveFaceMask();
Debug.Log("A face could not be detected from the input image.");
}
}
}
private void DetectInRegion(Mat img, Rect r, List <Rect> detectedObjectsInRegions)
{
Rect r0 = new Rect(new Point(), img.size());
Rect r1 = new Rect(r.x, r.y, r.width, r.height);
Rect.inflate(r1, (int)((r1.width * innerParameters.coeffTrackingWindowSize) - r1.width) / 2,
(int)((r1.height * innerParameters.coeffTrackingWindowSize) - r1.height) / 2);
r1 = Rect.intersect(r0, r1);
if (r1 != null && (r1.width <= 0) || (r1.height <= 0))
{
Debug.Log("DetectionBasedTracker::detectInRegion: Empty intersection");
return;
}
int d = Math.Min(r.width, r.height);
d = (int)Math.Round(d * innerParameters.coeffObjectSizeToTrack);
MatOfRect tmpobjects = new MatOfRect();
Mat img1 = new Mat(img, r1); //subimage for rectangle -- without data copying
cascade.detectMultiScale(img1, tmpobjects, 1.1, 2, 0 | Objdetect.CASCADE_DO_CANNY_PRUNING | Objdetect.CASCADE_SCALE_IMAGE | Objdetect.CASCADE_FIND_BIGGEST_OBJECT, new Size(d, d), new Size());
Rect[] tmpobjectsArray = tmpobjects.toArray();
int len = tmpobjectsArray.Length;
for (int i = 0; i < len; i++)
{
Rect tmp = tmpobjectsArray [i];
Rect curres = new Rect(new Point(tmp.x + r1.x, tmp.y + r1.y), tmp.size());
detectedObjectsInRegions.Add(curres);
}
}
