Face recognition quick start

1) Activate venv:

```bash
source .venv/bin/activate
```

2) Enroll a person (use a photo with a clear face):

```bash
python enroll_faces.py alice /path/to/alice.jpg
```

3) Recognize from an image:

```bash
python recognize.py /path/to/query.jpg
```

Notes:
- Scripts use `src/face.xml` (Haar cascade) for quick face cropping, then DeepFace (Facenet) to compute embeddings.
- First time calling DeepFace, models will be downloaded (internet required).
- Embeddings are stored in `embeddings/NAME.json`.
- You can tweak model (`model_name`) or comparison metric.

Notes about enrollment accuracy:
- The enrollment script pads and resizes detected face crops before computing embeddings. This helps DeepFace detectors work on small/tight crops.
- If DeepFace's detector fails on the crop, the script retries with `enforce_detection=False` and uses the OpenCV backend as a fallback.
- For best results, enroll multiple photos per person with different poses and lighting.