Pub Version analysis Star on Github License: MIT

A Flutter plugin with common methods used in google_ml_kit.

Getting Started

Before you get started read about the requirements and known issues of this plugin here.


Creating an InputImage

From path:

final inputImage = InputImage.fromFilePath(filePath);

From file:

final inputImage = InputImage.fromFile(file);

From bytes:

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

From CameraImage (if you are using the Camera plugin):

import 'package:google_mlkit_commons/google_mlkit_commons.dart';

final camera; // your camera instance

final WriteBuffer allBytes = WriteBuffer();
for (final Plane plane in cameraImage.planes) {
final bytes = allBytes.done().buffer.asUint8List();

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

final InputImageRotation imageRotation =

final InputImageFormat inputImageFormat =

final planeData =
  (Plane plane) {
    return InputImagePlaneMetadata(
      bytesPerRow: plane.bytesPerRow,
      height: plane.height,
      width: plane.width,

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

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

Example app

Find the example app here.


Contributions are welcome. In case of any problems look at existing issues, if you cannot find anything related to your problem then open an issue. Create an issue before opening a pull request for non trivial fixes. In case of trivial fixes open a pull request directly.