I am getting error about storing the captured detected face in my Face Detection. Here is the code of Face Detection from tutorials and i also add a datatype aww = bitmap , as bitmap collector.
Code in face Detection :
protected Bitmap processFrame(VideoCapture capture) {
capture.retrieve(mRgba, Highgui.CV_CAP_ANDROID_COLOR_FRAME_RGBA);
capture.retrieve(mGray, Highgui.CV_CAP_ANDROID_GREY_FRAME);
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)
mJavaDetector.detectMultiScale(mGray, faces, 1.1, 2, 2 // TODO: objdetect.CV_HAAR_SCALE_IMAGE
, new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());
if (mZoomCorner == null || mZoomWindow == null)
CreateAuxiliaryMats();
Rect[] facesArray = faces.toArray();
for (int i = 0; i < facesArray.length; i++){
Rect r = facesArray[i];
Core.rectangle(mGray, r.tl(), r.br(), new Scalar(0, 255, 0, 255), 3);
Core.rectangle(mRgba, r.tl(), r.br(), new Scalar(0, 255, 0, 255), 3);
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));
Core.rectangle(mRgba,eyearea.tl(),eyearea.br() , new Scalar(255,0, 0, 255), 2);
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));
Core.rectangle(mRgba,eyearea_left.tl(),eyearea_left.br() , new Scalar(255,0, 0, 255), 2);
Core.rectangle(mRgba,eyearea_right.tl(),eyearea_right.br() , new Scalar(255, 0, 0, 255), 2);
if(learn_frames<5){
teplateR = get_template(mCascadeER,eyearea_right,24);
teplateL = get_template(mCascadeEL,eyearea_left,24);
learn_frames++;
}else{
match_value = match_eye(eyearea_right,teplateR,FdActivity.method);
match_value = match_eye(eyearea_left,teplateL,FdActivity.method);
;
}
Imgproc.resize(mRgba.submat(eyearea_left), mZoomWindow2, mZoomWindow2.size());
Imgproc.resize(mRgba.submat(eyearea_right), mZoomWindow, mZoomWindow.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();
for (int i = 0; i < facesArray.length; i++)
Core.rectangle(mRgba, facesArray[i].tl(), facesArray[i].br(), FACE_RECT_COLOR, 3);
Bitmap bmp = Bitmap.createBitmap(mRgba.cols(), mRgba.rows(), Bitmap.Config.ARGB_8888);
try {
Utils.matToBitmap(mRgba, bmp);
} catch(Exception e) {
Log.e(TAG, "Utils.matToBitmap() throws an exception: " + e.getMessage());
bmp.recycle();
bmp = null;
}
aww = bmp;
return bmp;
}
After that, ive made an onclick listener to capture the face detected. Here is the code :
private void storeImage(Bitmap image,Context l) {
File pictureFile = getOutputMediaFile(l);
if (pictureFile == null) {
Log.d(TAG,
"Error creating media file, check storage permissions: ");// e.getMessage());
return;
}
try {
FileOutputStream fos = new FileOutputStream(pictureFile);
image.compress(Bitmap.CompressFormat.JPEG, 40, fos);
fos.close();
} catch (FileNotFoundException e) {
Log.d(TAG, "File not found: " + e.getMessage());
} catch (IOException e) {
Log.d(TAG, "Error accessing file: " + e.getMessage());
}
}
private File getOutputMediaFile(Context l){
// To be safe, you should check that the SDCard is ...
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