PlatformException(InputImageConverterError, java.lang.IllegalArgumentException, null, null)

[wantroba]

Describe your issue. If applicable, add screenshots to help explain your problem.

The error occurs whenever I call the processImage(InputImage inputImage) function.

The last time it worked was May 27, 2024 with these plugin versions:
camera: ^0.11.0
google_mlkit_text_recognition: ^0.13.0

After I updated to these versions:
camera: ^0.11.0+2
google_mlkit_text_recognition: ^0.14.0

Then I tried to revert back to previous versions and the problem still persists.

Steps to reproduce.

The error occurs whenever I call the processImage(InputImage inputImage) function.

What is the expected result?

processImage(InputImage inputImage) function should work

Did you try our example app?

No

Is it reproducible in the example app?

No

Reproducible in which OS?

Android

Flutter/Dart Version?

Doctor summary (to see all details, run flutter doctor -v):
[✓] Flutter (Channel stable, 3.24.4, on Microsoft Windows [versÆo 10.0.22631.4317], locale pt-BR)
[✓] Windows Version (Installed version of Windows is version 10 or higher)
[✓] Android toolchain - develop for Android devices (Android SDK version 34.0.0)
[✓] Chrome - develop for the web
[✓] Visual Studio - develop Windows apps (Ferramentas de Build do Visual Studio 2019 16.11.29)
[✓] Android Studio (version 2024.1)
[✓] VS Code (version 1.94.2)
[✓] Connected device (4 available)
[✓] Network resources

Plugin Version?

camera: ^0.11.0+2
google_mlkit_text_recognition: ^0.14.0

[wantroba]

Could be related to #684

[simeonangelov94]

Same here, after updating to
camera: ^0.11.0+2
google_mlkit_text_recognition: ^0.14.0

Same dependencies. No issue running on Apple devices.

[cagrialta]

Related to #700 . You can use my solution as temporarily.

[github-actions]

This issue is stale because it has been open for 30 days with no activity.

[wantroba]

Any update?

[wantroba]

Related to #700 . You can use my solution as temporarily.

Your solution did not work for me :(

[simeonangelov94]

Related to #700 . You can use my solution as temporarily.

Your solution did not work for me :(

update your controller to use yuv420, that was the issue for me. Use camera package 0.10.6 for android.

controller = CameraController(
  cameras.first,
  ResolutionPreset.high,
  imageFormatGroup: Platform.isAndroid
      ? ImageFormatGroup.yuv420
      : ImageFormatGroup.bgra8888,
);


try {
  await controller.initialize();
  if (!mounted) return;

  controller.startImageStream((image) {
    if (!isBusy) {
      isBusy = true;
      img = image;
      addImageTree();
      doObjectDetectionOnFrame();
    }
  });
} catch (e) {
  // Handle initialization error
  print('Camera initialization failed: $e');
}

doObjectDetectionOnFrame() async {
InputImage? frameImg;

frameImg = cameraImageToInputImage(
    img!, cameras[0], controller!.value.deviceOrientation);

// getInputImage();
if (frameImg != null) {
  List<DetectedObject> objects =
      await objectDetector.processImage(frameImg);
  // print("len= ${objects.length}");
  setState(() {
    _scanResults = objects;
  });
}
isBusy = false;

}

[RossHS]

Bump, I have the same problem. Rolled back for now.

[coder-arkkan]

`
InputImage? _inputImageFromCameraImage(CameraImage cameraImage) {
if (_controller == null) return null;
final camera = _cameras[_cameraIndex];
final sensorOrientation = camera.sensorOrientation;
InputImageRotation? rotation;
if (Platform.isIOS) {
rotation = InputImageRotationValue.fromRawValue(sensorOrientation);
} else if (Platform.isAndroid) {
var rotationCompensation =
_orientations[_controller!.value.deviceOrientation];
if (rotationCompensation == null) return null;
if (camera.lensDirection == CameraLensDirection.front) {
rotationCompensation = (sensorOrientation + rotationCompensation) % 360;
} else {
rotationCompensation =
(sensorOrientation - rotationCompensation + 360) % 360;
}
rotation = InputImageRotationValue.fromRawValue(rotationCompensation);
}
if (rotation == null) return null;
const format = InputImageFormat.nv21;
final plane = cameraImage.planes.first;

final WriteBuffer allBytes = WriteBuffer();
for (final Plane plane in cameraImage.planes) {
  allBytes.putUint8List(plane.bytes);
}

return InputImage.fromBytes(
  bytes: allBytes.done().buffer.asUint8List(),
  metadata: InputImageMetadata(
    size: Size(cameraImage.width.toDouble(), cameraImage.height.toDouble()),
    rotation: rotation, // used only in Android
    format: format, // used only in iOS
    bytesPerRow: plane.bytesPerRow, // used only in iOS
  ),
);

}
`

[coder-arkkan]

`const format = InputImageFormat.nv21;
final plane = cameraImage.planes.first;

final WriteBuffer allBytes = WriteBuffer();
for (final Plane plane in cameraImage.planes) {
  allBytes.putUint8List(plane.bytes);
}

return InputImage.fromBytes(
  bytes: allBytes.done().buffer.asUint8List(),
  metadata: InputImageMetadata(
    size: Size(cameraImage.width.toDouble(), cameraImage.height.toDouble()),
    rotation: rotation, // used only in Android
    format: format, // used only in iOS
    bytesPerRow: plane.bytesPerRow, // used only in iOS
  ),
);`

[coder-arkkan]

Try this. Most important thing is

final WriteBuffer allBytes = WriteBuffer(); for (final Plane plane in cameraImage.planes) { allBytes.putUint8List(plane.bytes); }

[tiees288]

Still has the same problem on facegoogle_mlkit_face_detection

google_mlkit_face_detection ^0.12
camera: ^0.11.0+2

[M-Farjad]

Use this InputImageFormat while converting camera frame to face detector input image, it is working for me but the faces are still returned empty:
`
if(Platform.isIOS){
InputImageFormat imageFormat = InputImageFormat.bgra8888
}
if(Platform.isAndroid){
InputImageFormat imageFormat = InputImageFormat.nv21;
}

final inputImage = InputImage.fromBytes(
bytes: bytes,
metadata: InputImageMetadata(
size: Size(frame.width.toDouble(), frame.height.toDouble()),
rotation: rotation, // Adjust as needed
format: imageFormat,
bytesPerRow: frame.planes[0].bytesPerRow,
),
);

final List faces = await faceDetector.processImage(inputImage);
log('Faces detected: $faces');
`