tflite_flutter

• CRITICAL FIX: Properly implement Android 16KB page size support
• Migrated from TensorFlow Lite 2.12.0 to Google AI Edge LiteRT 1.4.0
• LiteRT provides native libraries with 16KB page alignment required by Google Play
• Added verification script (scripts/verify_16kb.sh) to check page size alignment
• Note: Version 0.12.0 claimed 16KB support but used TensorFlow Lite 2.12.0 (incompatible)

• Android 16KB page size support attempted (incomplete - fixed in 0.12.1)
• Updated Android Gradle Plugin to 8.6.1
• Updated Compile SDK to 36 (Android 15+)
• Modernized Gradle build system with plugins DSL
• Updated Kotlin to 1.8.10
• Fixed deprecated withOpacity warnings across examples
• All 14 example projects verified working

• FFI update, Dart/Flutter version updates

• MacOS desktop support added!
• Additional samples added
• Various bug fixes

Published 0.10.1 June 2 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

• Support for Windows, Mac and Linux platforms.
• Improved gpu delegate support and bug fixes.
• Support for CoreML and XnnPack delegates.

• Null-safety major bug fix in tensor.dart
• Expose byte-object interconversion APIs

• Stable null-safety support

• Update to Dart 2.12 and package:ffi 1.0.0.

• Expose interpreter's address
• Create interpreter by address.

• Optimize getTensors and getTensor by Index
• Update readme

• Bug fix, output values copy to bytebuffer

• run supports UintList8 and ByteBuffer objects
• Bug fix, resize input tensor
• Improved efficiency

• 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

• Direct conversion support for more TfLiteTypes
• int16, float16, int8, int64
• Pre-built tf 2.2.0 stable binaries

• update usage instructions

• fixed analysis issues to improve score

• fixed warnings
• longer package description

• TfLite dart API