| --- |
| license: apache-2.0 |
| tags: [onnx, mediapipe, face-landmarks, face-mesh, qtmesheditor] |
| --- |
| |
| # Face Mesh V2 landmark model (ONNX) |
|
|
| Google MediaPipe's Face Landmarks Detector (Face Mesh V2), converted to ONNX. |
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|
| - **Input** `[N,256,256,3]` RGB in `[0,1]` — the rotated, cropped face ROI. |
| - **Outputs** `[N,1,1,1434]` = **478 landmarks × (x,y,z)** in 256-crop pixels, |
| plus a face-presence logit. Landmarks project back through the inverse ROI |
| transform; a 146-landmark subset feeds the blendshape model. |
|
|
| ## 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. |
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|
