convert Bitmap to Mat after capture image using android camera

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傲寒
傲寒 2020-12-07 16:48
Mat b = new Mat();
Bitmap bmp = getIntent().getExtras().getParcelable(\"image_send\");

@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCr         


        
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  • 2020-12-07 17:29

    Utils.bitmapToMat converts an Android Bitmap to an OpenCV Mat. It requires a bitmap of type ARGB_8888 or RGB_565.

    import org.opencv.android.Utils;
    
    Mat mat = new Mat();    
    Bitmap bmp32 = bmp.copy(Bitmap.Config.ARGB_8888, true);
    Utils.bitmapToMat(bmp32, mat);
    
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  • 2020-12-07 17:30

    Mat tmp = new Mat (bmp.getWidth(), bmp.getHeight(), CvType.CV_8UC1);

    OpenCV Mat constructor expects rows, cols pair instead of width, height as its arguments, invert them.

    Try:

    Mat tmp = new Mat (bmp.getHeight(), bmp.getWidth(), CvType.CV_8UC1);

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  • 2020-12-07 17:36

    Same problem with my app. In the main activity, I had to render OpenCV utilizable. (I am assuming your app threw a link error when Mat library was used). All sample apps do this. Include this your in main activity.

     private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
            @Override
            public void onManagerConnected(int status) {
                switch (status) {
                    case LoaderCallbackInterface.SUCCESS:
                    {
                        Log.i("OpenCVManager setup", "OpenCV loaded successfully");
                      //Use openCV libraries after this  
                    } break;
                    default:
                    {
                        super.onManagerConnected(status);
                    } break;
                }
            }
        };
    
        @Override
        public void onResume()
        {
            super.onResume();
            OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_9, this,
                    mLoaderCallback);
        }
    
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  • 2020-12-07 17:41

    With Camera2 this task is very fast, only you need config the ImageReader with ImageFormat on YUV_420_888 and then proccess frames with OpenCV like this:

    // You can read image with differents patterns for example grayscale:
    Mat mGray(height, width, cv::IMREAD_GRAYSCALE, pFrameData); 
    

    A complete implementation in the next answer: https://stackoverflow.com/a/49331546/471690

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