tflite_flutter_custom 1.0.2
tflite_flutter_custom: ^1.0.2 copied to clipboard
TensorFlow Lite Flutter plugin provides an easy, flexible, and fast Dart API to integrate TFLite models in flutter apps across mobile and desktop platforms.
tflite_flutter_custom #
A drop-in alternative to tflite_flutter, made easier. tflite_flutter_custom automatically includes all required native TensorFlow Lite libraries for Android, iOS, macOS, Windows, and Linux.
No manual setup or handling of native libraries required.
Why this fork? #
tflite_flutter is an excellent library, but it requires developers to manually include platform-specific native binaries.
This fork removes that friction by bundling everything inside the package.
- No more copying
.so,.dll, or.dylibfiles - Works out of the box on all supported platforms
- Same API as
tflite_flutter
Installation #
dependencies:
tflite_flutter_custom: ^1.0.2
Usage #
The API is identical to tflite_flutter, so you can follow their documentation directly.
For example:
import 'package:tflite_flutter_custom/tflite_flutter_custom.dart';
void main() async {
final interpreter = await Interpreter.fromAsset('model.tflite');
print('Model loaded successfully!');
}
Platform Support #
- ✅ Android
- ✅ iOS
- ✅ macOS
- ✅ Windows
- ✅ Linux
All required native binaries are automatically included in the build.
Credits #
This project is based on tflite_flutter by the TensorFlow team and contributors.
All credit for the original bindings goes to them.