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TensorFlow Lite Flutter plugin provides an easy, flexible, and fast Dart API to integrate TFLite models in flutter apps across mobile and desktop platforms.

0.11.0 (September 3, 2024) #

  • FFI update, Dart/Flutter version updates

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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Publisher

verified publishertensorflow.org

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

API reference

License

Apache-2.0 (license)

Dependencies

ffi, flutter, path, plugin_platform_interface, quiver

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