27 lines
684 B
Markdown
27 lines
684 B
Markdown
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# Street Lighting Monitoring
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VIMS instance for street-lighting.
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## Related Article
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[/insights/evidence-driven-municipal-maintenance/](https://landvex.com/insights/evidence-driven-municipal-maintenance/)
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## Anomaly Classes
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- pole_damage
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- light_out
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- vegetation_obstruction
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- vandalism
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## Quick Start
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1. Add training images to `data/raw/`
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2. Annotate using LabelImg (YOLO format)
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3. Run preprocessing: `python src/detector.py`
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4. Train model: `python src/detector.py --train`
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5. Run inference: `python src/detector.py --predict data/test/image.jpg`
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## API
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Once deployed, access via:
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- REST: `POST /api/street-lighting/predict`
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- WebSocket: `ws://host/ws/street-lighting/alerts`
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