public Mat OnCameraFrame(CameraBridgeViewBase.ICvCameraViewFrame inputFrame)
{
mRgbaT = inputFrame.Rgba();
//mRgbaT = mRgba.T();
//Core.Flip(mRgba.T(), mRgbaT, 1);
//Imgproc.Resize(mRgbaT, mRgbaT, mRgba.Size());
mGrayT = inputFrame.Gray();
//mGrayT = mGray.T();
//Core.Flip(mGray.T(), mGrayT, 1);
//Imgproc.Resize(mGrayT, mGrayT, mGray.Size());
//mRgba = mRgbaT;
//mGray = mGrayT;
if (mAbsoluteFaceSize == 0)
{
int height = mGrayT.Rows();
if (Java.Lang.Math.Round(height * mRelativeFaceSize) > 0)
{
mAbsoluteFaceSize = Java.Lang.Math.Round(height * mRelativeFaceSize);
}
mNativeDetector.setMinFaceSize(mAbsoluteFaceSize);
}
MatOfRect faces = new MatOfRect();
if (mDetectorType == JAVA_DETECTOR)
{
if (mJavaDetector != null)
{
mJavaDetector.DetectMultiScale(mGrayT, faces, 1.1, 2, 2, // TODO: objdetect.CV_HAAR_SCALE_IMAGE
new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());
}
}
else if (mDetectorType == NATIVE_DETECTOR)
{
if (mNativeDetector != null)
{
mNativeDetector.detect(mGrayT, faces);
}
}
else
{
Log.Error(ActivityTags.FaceDetect, "Detection method is not selected!");
}
Rect[] facesArray = faces.ToArray();
for (int i = 0; i < facesArray.Length; i++)
{
Imgproc.Rectangle(mRgbaT, facesArray[i].Tl(), facesArray[i].Br(), FACE_RECT_COLOR, 3);
}
return(mRgbaT);
}
private Mat get_template(CascadeClassifier clssfr, Rect area, int size)
{
Mat template = new Mat();
Mat mROI = mGray.Submat(area);
MatOfRect eyes = new MatOfRect();
Point iris = new Point();
Rect eye_template = new Rect();
clssfr.DetectMultiScale(mROI, eyes, 1.15, 2, Objdetect.CascadeFindBiggestObject | Objdetect.CascadeScaleImage,
new Size(30, 30), new Size());
Rect[] eyesArray = eyes.ToArray();
for (int i = 0; i < eyesArray.Length;)
{
Rect e = eyesArray[i];
e.X = area.X + e.X;
e.Y = area.Y + e.Y;
Rect eye_only_rectangle = new Rect((int)e.Tl().X,
(int)(e.Tl().Y + e.Height * 0.4), (int)e.Width,
(int)(e.Height * 0.6));
mROI = mGray.Submat(eye_only_rectangle);
Mat vyrez = mRgba.Submat(eye_only_rectangle);
Core.MinMaxLocResult mmG = Core.MinMaxLoc(mROI);
Imgproc.Circle(vyrez, mmG.MinLoc, 2, new Scalar(255, 255, 255, 255), 2);
iris.X = mmG.MinLoc.X + eye_only_rectangle.X;
iris.Y = mmG.MinLoc.Y + eye_only_rectangle.Y;
eye_template = new Rect((int)iris.X - size / 2, (int)iris.Y - size / 2, size, size);
Imgproc.Rectangle(mRgba, eye_template.Tl(), eye_template.Br(), new Scalar(255, 0, 0, 255), 2);
template = (mGray.Submat(eye_template)).Clone();
return(template);
}
return(template);
}
public Mat OnCameraFrame(CameraBridgeViewBase.ICvCameraViewFrame inputFrame)
{
mRgba = inputFrame.Rgba();
mGray = inputFrame.Gray();
if (mAbsoluteFaceSize == 0)
{
int height = mGray.Rows();
if (Math.Round(height * mRelativeFaceSize) > 0)
{
mAbsoluteFaceSize = (int)Math.Round(height * mRelativeFaceSize);
}
}
if (mZoomWindow == null || mZoomWindow2 == null)
{
CreateAuxiliaryMats();
}
MatOfRect faces = new MatOfRect();
if (FACE != null)
{
FACE.DetectMultiScale(mGray, faces, 1.1, 2, 2, // TODO: objdetect.CV_HAAR_SCALE_IMAGE
new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());
}
Rect[] facesArray = faces.ToArray();
for (int i = 0; i < facesArray.Length; i++)
{
Imgproc.Rectangle(mRgba, facesArray[i].Tl(), facesArray[i].Br(), FACE_RECT_COLOR, 3);
xCenter = (facesArray[i].X + facesArray[i].Width + facesArray[i].X) / 2;
yCenter = (facesArray[i].Y + facesArray[i].Y + facesArray[i].Height) / 2;
Point center = new Point(xCenter, yCenter);
Imgproc.Circle(mRgba, center, 10, new Scalar(255, 0, 0, 255), 3);
/* --- NOT NEEDED
* Imgproc.putText(mRgba, "[" + center.X + "," + center.Y + "]",
* new Point(center.X + 20, center.Y + 20),
* Core.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255, 255));
*/
Rect r = facesArray[i];
// compute the eye area
Rect eyearea = new Rect(r.X + r.Width / 8,
(int)(r.Y + (r.Height / 4.5)), r.Width - 2 * r.Width / 8, (int)(r.Height / 3.0));
// split it
Rect eyearea_right = new Rect(r.X + r.Width / 16, (int)(r.Y + (r.Height / 4.5)),
(r.Width - 2 * r.Width / 16) / 2, (int)(r.Height / 3.0));
Rect eyearea_left = new Rect(r.X + r.Width / 16 + (r.Width - 2 * r.Width / 16) / 2,
(int)(r.Y + (r.Height / 4.5)), (r.Width - 2 * r.Width / 16) / 2, (int)(r.Height / 3.0));
// draw the area - mGray is working grayscale mat, if you want to see area in rgb preview,
// change mGray to mRgba
Imgproc.Rectangle(mRgba, eyearea_left.Tl(), eyearea_left.Br(), new Scalar(255, 0, 0, 255), 2);
Imgproc.Rectangle(mRgba, eyearea_right.Tl(), eyearea_right.Br(), new Scalar(255, 0, 0, 255), 2);
if (learn_frames < 5)
{
teplateR = get_template(EYE, eyearea_right, 24);
teplateL = get_template(EYE, eyearea_left, 24);
learn_frames++;
}
else
{
// Learning finished, use the new templates for template matching
match_eye(eyearea_right, teplateR, method);
match_eye(eyearea_left, teplateL, method);
}
// cut eye areas and put them to zoom windows
Imgproc.Resize(mRgba.Submat(eyearea_left), mZoomWindow2, mZoomWindow2.Size());
Imgproc.Resize(mRgba.Submat(eyearea_right), mZoomWindow, mZoomWindow.Size());
}
/*
* mRgba = inputFrame.Rgba();
* Log.Info(TAG, "called OnCameraFrame");
*
* if (mIsColorSelected)
* {
* mDetector.Process(mRgba);
* List<MatOfPoint> contours = mDetector.Contours;
* Log.Error(TAG, "Contours count: " + contours.Count);
* Imgproc.DrawContours(mRgba, contours, -1, CONTOUR_COLOR);
*
* Mat colorLabel = mRgba.Submat(4, 68, 4, 68);
* colorLabel.SetTo(mBlobColorRgba);
*
* Mat spectrumLabel = mRgba.Submat(4, 4 + mSpectrum.Rows(), 70, 70 + mSpectrum.Cols());
* mSpectrum.CopyTo(spectrumLabel);
* }
*/
return(mRgba);
}