| --- |
| license: apache-2.0 |
| tags: [onnx, mediapipe, pose-landmarks, blazepose, body-capture, qtmesheditor] |
| --- |
| |
| # BlazePose full landmark model (ONNX) |
|
|
| Google MediaPipe's Pose Landmarks Detector (BlazePose full), converted to |
| ONNX. |
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|
| - **Input** `[1,256,256,3]` RGB in `[0,1]` — the rotated, cropped person ROI. |
| - **Outputs** `[1,195]` = 39 × (x,y,z,visibility,presence) screen landmarks |
| in 256-crop pixels; `[1,1]` pose-presence probability; `[1,256,256,1]` |
| segmentation; `[1,64,64,39]` heatmap; **`[1,117]` = 39 × (x,y,z) WORLD |
| landmarks in metres, hip-centred** (the input to the analytic body-pose / |
| IK solver — landmarks 0–32 are the 33 real body joints). |
|
|
| ## License |
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|
| Apache-2.0 — this graph is a direct ONNX conversion of a Google |
| [MediaPipe](https://developers.google.com/mediapipe) model (Apache-2.0 code |
| AND weights). Conversion + numerical-parity proof (vs the Python `mediapipe` |
| reference): [`scripts/export-facecap-onnx.py`](https://github.com/fernandotonon/QtMeshEditor/blob/master/scripts/export-facecap-onnx.py), |
| contract in [`docs/MOCAP_SPIKE.md`](https://github.com/fernandotonon/QtMeshEditor/blob/master/docs/MOCAP_SPIKE.md). |
|
|
| ## How it is used |
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| Mirror of one graph from [`fernandotonon/QtMeshEditor-models`](https://huggingface.co/fernandotonon/QtMeshEditor-models) |
| (`mocap/…`), which [QtMeshEditor](https://github.com/fernandotonon/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. |
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|
