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QtMeshEditor-blazepose-onnx
fernandotonon/QtMeshEditor-blazepose-onnx
QtMeshEditor-blazepose-onnx is a machine learning model from fernandotonon. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Google MediaPipe's BlazePose detector, from the Pose Landmarker .task bundle, converted to ONNX.
Access
Public
Updated Jul 13, 2026
Repo size
11.9 MB
Likes
1
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Repo makeup
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.onnx11.9 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026
- SHA
- 5fc9f439
Model card
From the Hugging Face model README
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.
- License
- apache-2.0
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026