{"id":50926297,"url":"https://github.com/konyshevgmbh/pose_estimation_flutter","last_synced_at":"2026-06-16T23:30:53.726Z","repository":{"id":360877916,"uuid":"1252063155","full_name":"konyshevgmbh/pose_estimation_flutter","owner":"konyshevgmbh","description":"On-device real-time pose estimation with RTMPose + ONNX Runtime. Flutter Web \u0026 desktop. 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web\nflutter run -d windows         # Windows desktop\nflutter run -d macos           # macOS desktop\nflutter run -d linux           # Linux desktop\nflutter run                    # Android or iOS (device/emulator)\n```\n\n### Prerequisites\n\nThe ONNX model file must be placed at `assets/models/rtmpose.onnx`.  \nSee [assets/models/README.md](assets/models/README.md) for download instructions.\n\n## Architecture\n\n```\nlib/\n  main.dart              — app entry point\n  screens/\n    pose_screen.dart     — camera + inference UI\n  services/\n    pose_detector.dart   — ONNX Runtime inference\n    camera_service.dart  — WebRTC camera capture\n  painters/\n    skeleton_painter.dart — keypoint overlay rendering\n```\n\n## Model\n\nRTMPose-t exported to ONNX format.  \nInput: `1 × 3 × 256 × 192` (RGB, normalized).  \nOutput: `1 × 17 × 3` (x, y, score per keypoint, COCO format).\n\n## Tech Stack\n\n| Component | Library |\n|-----------|---------|\n| UI | Flutter 3.x |\n| Inference | [flutter_onnxruntime](https://pub.dev/packages/flutter_onnxruntime) |\n| Camera | [flutter_webrtc](https://pub.dev/packages/flutter_webrtc) |\n| Image processing | [image](https://pub.dev/packages/image) |\n\n## License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkonyshevgmbh%2Fpose_estimation_flutter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkonyshevgmbh%2Fpose_estimation_flutter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkonyshevgmbh%2Fpose_estimation_flutter/lists"}