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fernandotonon/
QtMeshEditor-blazepose-onnx

Name: QtMeshEditor-blazepose-onnx
Availability: InStock

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BlazePose person detector (ONNX)

Google MediaPipe's BlazePose detector, from the Pose Landmarker .task bundle, converted to ONNX.

Input [1,224,224,3] RGB in [-1,1], letterboxed.
Outputs [1,2254,12] + [1,2254,1]. Anchors: strides [8,16,32,32,32] → 2254. The ROI is centred on the mid-hip keypoint, sized from the hip→scale keypoint distance, target angle 90°, 1.25× square.

The detector ships fp16 block-sparse weights behind DENSIFY ops that tf2onnx can't parse; the export densifies them via the TFLite interpreter first (see the export script).

License

Apache-2.0 — this graph is a direct ONNX conversion of a Google MediaPipe model (Apache-2.0 code AND weights). Conversion + numerical-parity proof (vs the Python mediapipe reference): scripts/export-facecap-onnx.py, contract in docs/MOCAP_SPIKE.md.

How it is used

Mirror of one graph from fernandotonon/QtMeshEditor-models (mocap/…), which QtMeshEditor downloads on first use for its Performance Capture feature (video/webcam → facial morph + head + full-body skeletal animation, epic #869). This standalone repo is for discoverability; the app fetches from the aggregate repo.

fernandotonon/QtMeshEditor-blazepose-onnx

BlazePose person detector (ONNX)

License

How it is used

fernandotonon/
QtMeshEditor-blazepose-onnx