flanandClaude Sonnet 4.6
196b0a5147
- Dockerfile: ENV INSIGHTFACE_HOME=/models → /models/.insightface to match compose.yml and .env.example; the old value caused InsightFace to store models at /models/models/buffalo_l (double-appended subdir) - entrypoint.sh: use /app/.venv/bin/winnow (installed entry point) instead of python -m winnow.cli - config.py: ENABLE_CACHE default false → true; embedding cache is always beneficial in practice; users can opt out with ENABLE_CACHE=false - compose.yml: comment out CRON_SCHEDULE so scheduling is opt-in; flip ENABLE_CACHE to commented opt-out to reflect new default - README.md: update ENABLE_CACHE default documentation to true - tests/test_config.py: update default assertion to match Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
68 lines
4.0 KiB
YAML
68 lines
4.0 KiB
YAML
services:
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winnow:
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image: ghcr.io/sudolulo/winnow:latest
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container_name: winnow
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environment:
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# ── Required ──────────────────────────────────────────────────────────
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- IMMICH_URL=${IMMICH_URL}
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- API_KEY=${API_KEY}
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- FRIGATE_URL=${FRIGATE_URL}
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# ── Mode & Strategy ───────────────────────────────────────────────────
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- AUTO_MODE=true
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# TRAINING_MODE: face = upload to Frigate face recognition API
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# object = save crops to output dir for manual Frigate placement
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- TRAINING_MODE=face
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# STRATEGY: auto = objective diversity (recommended), standard = 30 imgs, broad = 100 imgs
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- STRATEGY=auto
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# - LIMIT=50 # Custom image count; overrides STRATEGY preset
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# - OBJECT_CLASS=dog # Object label for object mode (e.g. dog, cat, car)
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# ── People Filtering ──────────────────────────────────────────────────
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# - ONLY_PEOPLE=John,Jane # Comma-separated; process only these people
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# - SKIP_PEOPLE=Unknown # Comma-separated; skip these people
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# - MIN_FACE_COUNT=5 # Skip people with fewer than N assets in Immich
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# - YEARS_FILTER=10 # Only include images from the last N years (default: 10)
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# ── Image Quality ─────────────────────────────────────────────────────
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# - MIN_FACE_WIDTH=50 # Minimum face width in pixels (default: 50)
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# - FACE_MARGIN=0.15 # Padding around face crop as fraction (default: 0.15)
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# - ENABLE_FACE_ALIGNMENT=true # Align face before cropping (default: true)
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# - USE_FULL_RESOLUTION=true # Use full-res images vs thumbnails (default: true)
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# - MIN_CONFIDENCE=0.7 # Minimum face detection confidence (default: 0.7)
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# - BLUR_THRESHOLD=100.0 # Laplacian blur threshold; lower = accept more blur (default: 100.0)
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# - MAX_AUTO_IMAGES=80 # Hard cap on auto-diversity selection (default: 80)
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# ── Caching & Models ──────────────────────────────────────────────────
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- FORCE_CPU=false
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# - ENABLE_CACHE=false # Disable embedding cache (default: true)
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- CACHE_DIR=/app/.if_cache
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- HF_HOME=/models/huggingface
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- INSIGHTFACE_HOME=/models/.insightface
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# ── Tracker overrides (one-shot, remove after use) ────────────────────
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# - DRY_RUN=true # Preview selection without downloading/uploading
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# - RETRY_REJECTED=true # Re-attempt previously rejected images
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# - RESET_PERSON=John # Clear uploaded+rejected history for one person
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# ── Scheduling ────────────────────────────────────────────────────────
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# Cron expression (unset = run once and exit)
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# - CRON_SCHEDULE=0 3 * * 0 # Every Sunday at 3 AM
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# - CRON_SCHEDULE=0 3 1 * * # First of every month
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# - CRON_SCHEDULE=*/30 * * * * # Every 30 minutes
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volumes:
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# Replace with absolute paths on your host, e.g. /opt/winnow/models
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- /path/to/winnow/models:/models
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- /path/to/winnow/cache:/app/.if_cache
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- /path/to/winnow/output:/app/frigate_train
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stdin_open: true
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tty: true
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restart: unless-stopped
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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