google_mlkit_commons_no_ios

Description:

google mlkit commons no ios

google_mlkit_commons #




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.
Usage #
Creating an InputImage #
From path:
final inputImage = InputImage.fromFilePath(filePath);
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From file:
final inputImage = InputImage.fromFile(file);
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From bytes:
final inputImage = InputImage.fromBytes(bytes: bytes, inputImageData: inputImageData);
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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) {
allBytes.putUint8List(plane.bytes);
}
final bytes = allBytes.done().buffer.asUint8List();

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

final InputImageRotation imageRotation =
InputImageRotationValue.fromRawValue(camera.sensorOrientation);

final InputImageFormat inputImageFormat =
InputImageFormatValue.fromRawValue(cameraImage.format.raw);

final planeData = cameraImage.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);
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Example app #
Find the example app here.
Contributing #
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.