percoandClaude Sonnet 4.6
6aac633862
Adds call_platerecognizer() to lpr.py which sends frames to the PlateRecognizer cloud API (regions=fr) with a 1920px cap to stay within API limits. In watcher.py, switches to a two-pass frame scoring strategy: Laplacian sharpness on all frames first, then YOLO only on the top-10 sharpest frames, then PlateRecognizer on the top-3 by score. Falls back to local YOLO+Tesseract/PaddleOCR if the API returns no result. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
35 lines
980 B
YAML
35 lines
980 B
YAML
services:
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camwatch:
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build: .
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container_name: camwatch
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restart: unless-stopped
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volumes:
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- ./data:/data
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- ./models:/models:ro
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environment:
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- CAMERA_URL=http://192.168.1.44
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- CAMERA_USER=admin
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- CAMERA_PASS=Wxcvbn99--$$$$
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- CAMERA_NAME=portail
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- MODEL_CACHE=/models
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- DB_PATH=/data/camwatch.db
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- SNAPSHOTS_DIR=/data/snapshots
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- EVENTS_DIR=/data/events
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- POLL_INTERVAL=2
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- CAPTURE_DURATION=15
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- CAPTURE_FPS=5
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- COOLDOWN=60
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- PLATERECOGNIZER_API_KEY=c1127284b5ef06b49ade33f1dfc0f50169b88c1d
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labels:
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- traefik.enable=true
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- traefik.http.routers.camwatch.rule=Host(`camwatch.nas.percolouco.com`)
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- traefik.http.routers.camwatch.entrypoints=websecure
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- traefik.http.routers.camwatch.tls.certresolver=letsencrypt
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- traefik.http.services.camwatch.loadbalancer.server.port=8000
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networks:
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- proxy
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networks:
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proxy:
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external: true
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