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7b53d75 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # ui/
Live OpenCV demo and inference pipelines used by the app.
**Files:** `pipeline.py` (FaceMesh, MLP, XGBoost, Hybrid pipelines), `live_demo.py` (webcam window with mesh + focus label).
**Pipelines:** FaceMesh = rule-based head/eye; MLP = 10 features → PyTorch MLP (checkpoints/mlp_best.pt + scaler); XGBoost = same 10 features → xgboost_face_orientation_best.json. Hybrid combines ML/XGB with geometric scores.
**Run demo:**
```bash
python ui/live_demo.py
python ui/live_demo.py --xgb
```
`m` = cycle mesh, `p` = switch pipeline, `q` = quit. Same pipelines back the FastAPI WebSocket video in `main.py`.
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