Changelog #

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

0.1.0 - 2024-12-30 #

Initial release of NPU Pose Detection plugin
iOS Support: Apple Vision Framework with Neural Engine acceleration
- Automatic NPU/GPU acceleration on A12+ devices
- VNDetectHumanBodyPoseRequest for 17 body landmarks
- Landmark mapping to MediaPipe 33-point format
Android Support: TensorFlow Lite with MoveNet Lightning model
- GPU Delegate for hardware acceleration
- NNAPI support for devices API 27-34
- CPU fallback with XNNPack optimization
Core Features:
- Static image pose detection (detectPose, detectPoseFromFile)
- Real-time camera frame processing (processFrame, startCameraDetection)
- Video file analysis (analyzeVideo with progress tracking)
- Configurable detection parameters (PoseDetectorConfig)
Data Models:
- Pose with 33 MediaPipe-compatible landmarks
- PoseLandmark with normalized coordinates (0-1) and confidence scores
- BoundingBox for detected person region
- LandmarkType enum for easy landmark access
Error Handling:
- Typed DetectionError with error codes
- Graceful fallback from NPU to GPU to CPU
Example App:
- Image detection demo with gallery picker
- Real-time camera detection with pose overlay
- Video analysis with progress UI