Image dimension, ByteBuffer size and format don't match. Please check if the ByteBuffer is in the decalred format.

[bqubique]

/flutter (32499): [ERROR:flutter/lib/ui/ui_dart_state.cc(198)] Unhandled Exception: PlatformException(error, Image dimension, ByteBuffer size and format don't match. Please check if the ByteBuffer is in the decalred format., null, java.lang.IllegalArgumentException: Image dimension, ByteBuffer size and format don't match. Please check if the ByteBuffer is in the decalred format.

I'm getting this error when using Pose Detector. This is how I receive the image from camera:

    ...
    await cameraController.initialize();
    cameraController.startImageStream((image) => _processCameraImage(image));

_processCameraImage(CameraImage image) method is as follows:

Future _processCameraImage(CameraImage image) async {
    final WriteBuffer allBytes = WriteBuffer();
    for (final Plane plane in image.planes) {
      allBytes.putUint8List(plane.bytes);
    }
    final bytes = allBytes.done().buffer.asUint8List();

    final Size imageSize =
        Size(image.width.toDouble(), image.height.toDouble());

    final camera = _cameras[_cameraIndex];
    final imageRotation =
        InputImageRotationValue.fromRawValue(camera.sensorOrientation) ??
            InputImageRotation.rotation0deg;

    final inputImageFormat =
        InputImageFormatValue.fromRawValue(image.format.raw) ??
            InputImageFormat.nv21;

    final planeData = image.planes.map(
      (Plane plane) {
        return InputImagePlaneMetadata(
          bytesPerRow: plane.bytesPerRow,
          height: plane.height,
          width: plane.width,
        );
      },
    ).toList();

    final inputImageData = InputImageData(
      size: imageSize,
      imageRotation: imageRotation,
      inputImageFormat: inputImageFormat,
      planeData: planeData,
    );

    final inputImage =
        InputImage.fromBytes(bytes: bytes, inputImageData: inputImageData);

    processImage(inputImage);
  }

processImage(InputImage inputImage) is as follows:

Future<void> processImage(InputImage inputImage) async {
    if (!_canProcess) return;
    if (_isBusy) return;
    _isBusy = true;

    final poses = await poseDetector.processImage(inputImage); <<<---- the error is thrown here

    if (poses.isNotEmpty) {
      
      // log('hello');
    }
    if (inputImage.inputImageData?.size != null &&
        inputImage.inputImageData?.imageRotation != null) {
      // log('hello');
    } else {
      // log('hello');
    }
    _isBusy = false;
    if (mounted) {
      setState(() {});
    }
  }

pubspec.yaml

  camera: ^0.10.0
  google_mlkit_pose_detection: ^0.2.0

[meet7-sagar23]

Facing the same issue on One Plus 7 Pro.

    animate_do: ^3.0.2
    camera: ^0.10.1
    collection: ^1.16.0
    equatable: ^2.0.5
    flutter:
        sdk: flutter
    google_mlkit_face_detection: ^0.5.0
    image: ^4.0.5

[fbernaly]

Use NV21 for Android.
In this comment: #287 (comment)
Someone reported that the native apps are using that for MLKit and when doing the same in Flutter solved the issue for Android. That was merged in this PR #454. Update to the latest plugin version.

[MikheilMusaelyan]

Same issue in this function:

void detectit(XFile file) async {
    final myFile = File(file.path);
    final Uint8List imageBytes = await myFile.readAsBytes();
    final dimensions = await getImageDimensions(imageBytes);
    
    int bytesperrow = dimensions['w'] * 4;
    int w = dimensions['w'];
    int h = dimensions['h'];

    final inputImage = InputImage.fromBytes(
      bytes: imageBytes,
      metadata: InputImageMetadata(
        size: Size(
          w.toDouble(),
          h.toDouble()
        ),
        format: InputImageFormat.bgra8888,
        rotation: InputImageRotation.rotation0deg,
        bytesPerRow: bytesperrow
      )
    );
    
    final List<Pose> poses = await poseDetector.processImage(inputImage);
  }