Mat mCameraMat = inputFrame.rgba();
// Create the result matrix
int result_cols = mCameraMat.cols() - mTemplateMat.cols() + 1;
int result_rows = mCameraMat.rows() - mTemplateMat.rows() + 1;
Log.d(TAG, " mCameraMat cols " + mCameraMat.cols());
Log.d(TAG, " mCameraMat rows " + mCameraMat.rows());
Log.d(TAG, " mTemplateMat cols " + mTemplateMat.cols());
Log.d(TAG, " mTemplateMat rows " + mTemplateMat.rows());
Mat result = new Mat(result_rows, result_cols, CvType.CV_32F);
? ? ? ? ? // Do the Matching and Normalize
Imgproc.matchTemplate(mCameraMat, mTemplateMat, result, match_method);
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
? ? ? ? ? // Localizing the best match with minMaxLoc
Core.MinMaxLocResult mmr = Core.minMaxLoc(result);
Point matchLoc;
if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
? ? matchLoc = mmr.minLoc;
? } else {
? matchLoc = mmr.maxLoc;
}
Rect roi = new Rect((int) matchLoc.x, (int) matchLoc.y, mTemplateMat.cols(), mTemplateMat.rows());
Imgproc.rectangle(mCameraMat, new Point(roi.x, roi.y), new Point(roi.width - 2, roi.height - 2), new Scalar(255, 0, 0, 255), 2);
return mCameraMat;
