tflite_plus 1.0.1

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Initial Release 🎉 #

Features

• Image Classification: Complete support for image classification using TensorFlow Lite models
• Object Detection: Comprehensive object detection with bounding boxes and confidence scores
• Pose Estimation: Human pose estimation using PoseNet models
• Semantic Segmentation: Pixel-level image segmentation capabilities
• Multi-Platform Support: Full Android and iOS compatibility
• Hardware Acceleration:
  • Android: GPU delegate, NNAPI delegate
  • iOS: Metal delegate, CoreML delegate
• Flexible Input Methods: Support for both file paths and binary data
• Asynchronous Operations: Non-blocking inference with proper async/await support
• Model Management: Load, close, and query model information
• Comprehensive API: All major TensorFlow Lite operations covered

Platform Support

• Android: API level 21+ with LiteRT 2.0.2
• iOS: iOS 12.0+ with TensorFlow Lite Swift

Dependencies

• Google AI Edge LiteRT 2.0.2
• TensorFlow Lite Task Vision/Text libraries
• GPU acceleration libraries for both platforms

Documentation

• Comprehensive README with examples
• API documentation for all methods
• Performance optimization guides
• Troubleshooting section
• Example app with practical demonstrations

Developer Experience

• Type-safe Dart APIs
• Comprehensive error handling
• Detailed logging and debugging support
• Easy integration with existing Flutter apps
• Extensive customization options