| --- |
| license: apache-2.0 |
| tags: [onnx, mediapipe, face-detection, blazeface, qtmesheditor] |
| --- |
| |
| # BlazeFace short-range face detector (ONNX) |
|
|
| Google MediaPipe's BlazeFace short-range detector, from the Face Landmarker |
| `.task` bundle, converted to ONNX. |
|
|
| - **Input** `input` `[1,128,128,3]` RGB, normalized to `[-1,1]`, keep-aspect |
| letterboxed (zero border). |
| - **Outputs** `regressors` `[1,896,16]` (box + 6 keypoints per anchor), |
| `classificators` `[1,896,1]` (score logits). SSD anchors: strides |
| `[8,16,16,16]`, min/max scale 0.1484375/0.75 → 896 anchors; decode + weighted |
| NMS at IoU 0.3. |
| - Feeds the face ROI (rotation from the eye keypoints, 1.5× square-long) to the |
| Face Mesh landmark 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. |
|
|
