I am trying to use OpenCV 2.4.3.2 to create a camera app and do some opencv processing. I would like it to be able to have multiple UI orientations, not just Landscape.
Another solution. i think this better
protected void deliverAndDrawFrame(CvCameraViewFrame frame) {
Mat modified;
if (mListener != null) {
modified = mListener.onCameraFrame(frame);
} else {
modified = frame.rgba();
}
boolean bmpValid = true;
if (modified != null) {
try {
Utils.matToBitmap(modified, mCacheBitmap);
} catch(Exception e) {
Log.e(TAG, "Mat type: " + modified);
Log.e(TAG, "Bitmap type: " + mCacheBitmap.getWidth() + "*" + mCacheBitmap.getHeight());
Log.e(TAG, "Utils.matToBitmap() throws an exception: " + e.getMessage());
bmpValid = false;
}
}
if (bmpValid && mCacheBitmap != null) {
Canvas canvas = getHolder().lockCanvas();
if (canvas != null) {
canvas.drawColor(0, android.graphics.PorterDuff.Mode.CLEAR);
if (BuildConfig.DEBUG)
Log.d(TAG, "mStretch value: " + mScale);
int currentOrientation = getResources().getConfiguration().orientation;
if (currentOrientation == Configuration.ORIENTATION_LANDSCAPE) {
if (mScale != 0) {
canvas.drawBitmap(mCacheBitmap, new Rect(0,0,mCacheBitmap.getWidth(), mCacheBitmap.getHeight()),
new Rect((int)((canvas.getWidth() - mScale*mCacheBitmap.getWidth()) / 2),
(int)((canvas.getHeight() - mScale*mCacheBitmap.getHeight()) / 2),
(int)((canvas.getWidth() - mScale*mCacheBitmap.getWidth()) / 2 + mScale*mCacheBitmap.getWidth()),
(int)((canvas.getHeight() - mScale*mCacheBitmap.getHeight()) / 2 + mScale*mCacheBitmap.getHeight())), null);
} else {
canvas.drawBitmap(mCacheBitmap, new Rect(0,0,mCacheBitmap.getWidth(), mCacheBitmap.getHeight()),
new Rect((canvas.getWidth() - mCacheBitmap.getWidth()) / 2,
(canvas.getHeight() - mCacheBitmap.getHeight()) / 2,
(canvas.getWidth() - mCacheBitmap.getWidth()) / 2 + mCacheBitmap.getWidth(),
(canvas.getHeight() - mCacheBitmap.getHeight()) / 2 + mCacheBitmap.getHeight()), null);
}
} else {
if (mScale != 0) {
Bitmap bitmap = Bitmap.createScaledBitmap(mCacheBitmap, canvas.getHeight(), canvas.getWidth(), true);
canvas.drawBitmap(bitmap, new Rect(0,0,bitmap.getWidth(), bitmap.getHeight()), new Rect(
(int)((canvas.getWidth() - mScale*bitmap.getWidth()) / 2),
(int)(0),
(int)((canvas.getWidth() - mScale*bitmap.getWidth()) / 2 + mScale*bitmap.getWidth()),
(int)((canvas.getHeight()))), null);
} else {
Bitmap bitmap = Bitmap.createScaledBitmap(mCacheBitmap, canvas.getHeight(), canvas.getWidth(), true);
canvas.drawBitmap(bitmap, new Rect(0,0,bitmap.getWidth(), bitmap.getHeight()), new Rect(
(int)((canvas.getWidth() - bitmap.getWidth()) / 2),
(int)(0),
(int)((canvas.getWidth() - bitmap.getWidth()) / 2 + bitmap.getWidth()),
(int)(canvas.getHeight())), null);
}
}
if (mFpsMeter != null) {
mFpsMeter.measure();
mFpsMeter.draw(canvas, 20, 30);
}
getHolder().unlockCanvasAndPost(canvas);
}
}
}
and...
@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
MatOfRect faces = new MatOfRect();
int currentOrientation = getResources().getConfiguration().orientation;
if (currentOrientation == Configuration.ORIENTATION_LANDSCAPE) {
mRgba = inputFrame.rgba();
mGray = inputFrame.gray();
int height = mGray.rows();
if (Math.round(height * 0.2) > 0) {
mFaceSize = (int) Math.round(height * 0.2);
}
cascadeClassifier.detectMultiScale(mGray, faces, 1.1, 3, 2,
new Size(mFaceSize, mFaceSize));
Rect[] facesArray = faces.toArray();
for (int i = 0; i < facesArray.length; i++) {
Point center = new Point(facesArray[i].x + facesArray[i].width / 2,
facesArray[i].y + facesArray[i].height / 2);
rectangle(mRgba, facesArray[i].tl(), facesArray[i].br(), FACE_RECT_COLOR, 3);
}
} else {
mRgba = inputFrame.rgba();
mGray = inputFrame.gray();
Mat rotImage = Imgproc.getRotationMatrix2D(new Point(mRgba.cols() / 2,
mRgba.rows() / 2), 90, 1.0);
Imgproc.warpAffine(mRgba, mRgba, rotImage, mRgba.size());
Imgproc.warpAffine(mGray, mGray, rotImage, mRgba.size());
Core.flip(mRgba, mRgba, 1);
Core.flip(mGray, mGray, 1);
int height = mGray.rows();
if (Math.round(height * 0.2) > 0) {
mFaceSize = (int) Math.round(height * 0.2);
}
cascadeClassifier.detectMultiScale(mGray, faces, 1.1, 3, 2,
new Size(mFaceSize, mFaceSize));
Rect[] facesArray = faces.toArray();
for (int i = 0; i < facesArray.length; i++) {
Point center = new Point(facesArray[i].x + facesArray[i].width / 2,
facesArray[i].y + facesArray[i].height / 2);
rectangle(mRgba, facesArray[i].tl(), facesArray[i].br(), FACE_RECT_COLOR, 3);
}
}
return mRgba;