Crashing while scanning in Android 13 (Pixel 4a) about flutter-document-scanner HOT 8 CLOSED

@apoorvpandey For inquiries related to the detection algorithm, please reach out to [email protected].

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@apoorvpandey According to your log, the app crashed in the libDynamsoftImageProcessing.so. Will the app crash if you comment out the document detection method? If the crash is caused by the detection method, could you please provide your camera frame info, such as width and height? It would be better if you can dump the frame data and share it with me for investigating.

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@apoorvpandey A possible workaround is to convert the image data from YUV to RGBA before calling the detection method.

if (format == ImagePixelFormat.IPF_NV21.index) {
            List<Uint8List> planes = [];
            for (int planeIndex = 0; planeIndex < 3; planeIndex++) {
              Uint8List buffer;
              int planeWidth;
              int planeHeight;
              if (planeIndex == 0) {
                planeWidth = width;
                planeHeight = height;
              } else {
                planeWidth = width ~/ 2;
                planeHeight = height ~/ 2;
              }

              buffer = Uint8List(planeWidth * planeHeight);

              int pixelStride = pixelStrides[planeIndex];
              int rowStride = strides[0];
              int index = 0;
              for (int i = 0; i < planeHeight; i++) {
                for (int j = 0; j < planeWidth; j++) {
                  buffer[index++] =
                      bytes[planeIndex][i * rowStride + j * pixelStride];
                }
              }

              planes.add(buffer);
            }

            data = yuv420ToRgba8888(planes, imageWidth, imageHeight);
          }

Then the crash line /lib/arm64/libDynamsoftImageProcessing.so (dynamsoft::DMMatrix::ConvertYUVToRGB(unsigned char const*, int, int, int, int, int, int, dynamsoft::DMMatrix*)+288) (BuildId: 78e13e1d2bad0502e5a91d11f2bf7f593ccfbd8d) won't be triggered.

The frame pixel format for iOS is Rgba8888, not yuv420. Have you encountered the crash issue on iOS?

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Thanks for the solution, not tried it but the edge detection barely works it scans the small edges on a business cards instead of the whole cards. for example if a card has logos with some edges it will detect it first instead of the whole big card

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@apoorvpandey Indeed, the algorithm has potential for further refinement. At present, you can only filter the results based on confidence and quadrilateral size.

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Thanks closing the issue!

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@apoorvpandey I've updated the camera logic for Android to bypass the crash issue. The camera frame of Android will be converted from YUV to RGBA8888 before calling the detection method. You can try it.

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@yushulx Thank you for the update. I will check on it

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