metadata
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 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.