# 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`