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# Parking Enforcement
VIMS instance for parking-enforcement.
## Related Article
[/insights/official-data-vs-observed-reality/](https://landvex.com/insights/official-data-vs-observed-reality/)
## Anomaly Classes
- illegal_parking
- expired_meter
- blocked_access
- fire_hydrant_violation
- handicap_violation
## Quick Start
1. Add training images to `data/raw/`
2. Annotate using LabelImg (YOLO format)
3. Run preprocessing: `python src/detector.py`
4. Train model: `python src/detector.py --train`
5. Run inference: `python src/detector.py --predict data/test/image.jpg`
## API
Once deployed, access via:
- REST: `POST /api/parking-enforcement/predict`
- WebSocket: `ws://host/ws/parking-enforcement/alerts`