tflite_flutter 0.10.4 
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tensorflow.orgTensorFlow Lite Flutter plugin provides an easy, flexible, and fast Dart API to integrate TFLite models in flutter apps across mobile and desktop platforms.
0.10.4 (December 7, 2023) #
- Linux and Windows desktop support added!
0.10.2 (September 27, 2023) #
- MacOS desktop support added!
- Additional samples added
- Various bug fixes
0.10.0 (May 22, 2023) #
- Use ffi for binding to iOS dependencies. Use the ios/tflite_flutter.podspec file to specify tensorflow lite library version. Dependencies are automatically downloaded without user intervention (no need for releases/download folder)
- Use ffi for binding with Android dependencies. Use the android/build.gradle file to specify tensorflow lite library version. Dependencies are automatically downloaded without user intervention (no need for releases/download folder)
- Use ffigen to generate the binding code in dart
- Enable delegates in text_classification example
- Add conversion for tensors of type uint8
- Add image classification example using mobilenet
- Add super resolution example using esrgan
- Add style transfer example
- IsolateInterpreter to run inference in an isolate. Related to Use isolates to run inference #52
- Support for melos added
- Text classification example fixed
0.9.0 (Jun 28, 2021) #
- Support for Windows, Mac and Linux platforms.
- Improved gpu delegate support and bug fixes.
- Support for CoreML and XnnPack delegates.
0.8.0 (Apr 21, 2021) #
- Null-safety major bug fix in tensor.dart
- Expose byte-object interconversion APIs
0.7.0 (Apr 21, 2021) #
- Stable null-safety support
0.6.0 (Feb 26, 2021) #
- Update to Dart 2.12 and package:ffi 1.0.0.
0.5.0 (Jul 17, 2020) #
- Expose interpreter's address
- Create interpreter by address.
0.4.2 (Jul 6, 2020) #
- Optimize getTensors and getTensor by Index
- Update readme
0.4.1 (Jun 23, 2020) #
- Bug fix, output values copy to bytebuffer
0.4.0 (Jun 18, 2020) #
- run supports UintList8 and ByteBuffer objects
- Bug fix, resize input tensor
- Improved efficiency
0.3.0 #
- New features
- multi-dimensional reshape with type
- Bug fixes
- extension flatten on List fixed.
- error on passing not dynamic type list to interpreter output fixed
0.2.0 #
- Direct conversion support for more TfLiteTypes
- int16, float16, int8, int64
- Pre-built tf 2.2.0 stable binaries
0.1.3 #
- update usage instructions
0.1.2 #
- fixed analysis issues to improve score
0.1.1 #
- fixed warnings
- longer package description
0.1.0 #
- TfLite dart API
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Metadata
TensorFlow Lite Flutter plugin provides an easy, flexible, and fast Dart API to integrate TFLite models in flutter apps across mobile and desktop platforms.
Repository (GitHub)
View/report issues
Contributing
Documentation
License
Apache-2.0 (LICENSE)
Dependencies
ffi, flutter, path, plugin_platform_interface, quiver
