---
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.

- **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

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

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.