function for face recognition

public Mat onCameraFrame(CvCameraViewFrame inputFrame) {

        mRgba = inputFrame.rgba();
        mGray = inputFrame.gray();

        // hist
        // Size sizeRgba = mRgba.size();
        Size sizeRgba = mGray.size();
        // end

        if (mAbsoluteFaceSize == 0) {
            int height = mGray.rows();
            if (Math.round(height * mRelativeFaceSize) > 0) {
                mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize);
            }
            // mNativeDetector.setMinFaceSize(mAbsoluteFaceSize);
        }

        MatOfRect faces = new MatOfRect();

        if (mDetectorType == JAVA_DETECTOR) {
            if (mJavaDetector != null)
                // do detect
                mJavaDetector.detectMultiScale(mRgba, 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(mGray, faces);
        } else {
            Log.e(TAG, "Detection method is not selected!");
        }

        Rect[] facesArray = faces.toArray();

        if ((facesArray.length == 1) && (faceState == TRAINING)
                && (countImages < MAXIMG)
                && (!text.getText().toString().isEmpty())) {

            Mat m = new Mat();
            Rect r = facesArray[0];

            m = mGray.submat(r);
            // mBitmap = Bitmap.createBitmap(m.width(), m.height(),
            mBitmap = Bitmap.createBitmap(m.width(), m.height(),
                    Bitmap.Config.ARGB_8888);// 32-bit


            Utils.matToBitmap(m, mBitmap);
            // SaveBmp(mBitmap,"/sdcard/db/I("+countTrain+")"+countImages+".jpg");

            Message msg = new Message();
            String textTochange = "IMG";
            msg.obj = textTochange;
            mHandler.sendMessage(msg);
            if (countImages < MAXIMG) {
                fr.add(m, text.getText().toString());
                countImages++;
            }

        } else if ((facesArray.length > 0) && (faceState == SEARCHING)) {
            Mat m = new Mat();
            m = mRgba.submat(facesArray[0]);// make canvas extracted feature
            mBitmap = Bitmap.createBitmap(m.width(), m.height(),
                    Bitmap.Config.ARGB_8888);

            Utils.matToBitmap(m, mBitmap);
            Message msg = new Message();
            String textTochange = "IMG";
            msg.obj = textTochange;
            mHandler.sendMessage(msg);

            textTochange = fr.predict(m);
            // fr.train();
            mLikely = fr.getProb();
            msg = new Message();
            msg.obj = textTochange;
            mHandler.sendMessage(msg);

        }
...............etc.