Files
winnow/compose.yml
T
flanandClaude Sonnet 4.6 882af37d8e feat: VERBOSE=true enables DEBUG-level console output
The log file already captures DEBUG unconditionally. This env var wires
the same to the Rich console handler for troubleshooting without needing
to read the log file.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-12 15:49:28 +00:00

73 lines
4.5 KiB
YAML

services:
winnow:
image: ghcr.io/sudolulo/winnow:latest
container_name: winnow
environment:
# ── Required ──────────────────────────────────────────────────────────
- IMMICH_URL=${IMMICH_URL}
- API_KEY=${API_KEY}
- FRIGATE_URL=${FRIGATE_URL}
# ── Mode & Strategy ───────────────────────────────────────────────────
# Auto mode is active by default when no TTY is present (Docker/cron).
# Set AUTO_MODE=true to force auto mode in an interactive terminal.
# To run interactively: docker exec -it winnow winnow
# - VERBOSE=true # Enable DEBUG-level console output
# TRAINING_MODE: face = upload to Frigate face recognition API
# object = save crops to output dir for manual Frigate placement
- TRAINING_MODE=face
# STRATEGY: auto = objective diversity (recommended), standard = 30 imgs, broad = 100 imgs
- STRATEGY=auto
# - LIMIT=50 # Custom image count; overrides STRATEGY preset
# - OBJECT_CLASS=dog # Object label for object mode (e.g. dog, cat, car)
# ── People Filtering ──────────────────────────────────────────────────
# - ONLY_PEOPLE=John,Jane # Comma-separated; process only these people
# - SKIP_PEOPLE=Unknown # Comma-separated; skip these people
# - MIN_FACE_COUNT=5 # Skip people with fewer than N assets in Immich
# - YEARS_FILTER=10 # Only include images from the last N years (default: 10)
# ── Image Quality ─────────────────────────────────────────────────────
# - MIN_FACE_WIDTH=50 # Minimum face width in pixels (default: 50)
# - FACE_MARGIN=0.15 # Padding around face crop as fraction (default: 0.15)
# - ENABLE_FACE_ALIGNMENT=true # Align face before cropping (default: true)
# - USE_FULL_RESOLUTION=true # Use full-res images vs thumbnails (default: true)
# - MIN_CONFIDENCE=0.7 # Minimum face detection confidence (default: 0.7)
# - BLUR_THRESHOLD=100.0 # Laplacian blur threshold; lower = accept more blur (default: 100.0)
# - MAX_AUTO_IMAGES=80 # Hard cap on auto-diversity selection (default: 80)
# ── Caching & Models ──────────────────────────────────────────────────
# - FORCE_CPU=true # Disable GPU, fall back to CPU
# - ENABLE_CACHE=false # Disable embedding cache (default: true)
- CACHE_DIR=/app/.if_cache
- HF_HOME=/models/huggingface
- INSIGHTFACE_HOME=/models/.insightface
# ── Tracker overrides (one-shot, remove after use) ────────────────────
# - DRY_RUN=true # Preview selection without downloading/uploading
# - RETRY_REJECTED=true # Re-attempt previously rejected images
# - RESET_PERSON=John # Clear uploaded+rejected history for one person
# ── Scheduling ────────────────────────────────────────────────────────
# CRON_SCHEDULE controls container lifetime:
# unset — run once on startup, then exit
# empty string — stay alive, run nothing; trigger manually with:
# docker exec -it winnow winnow
# cron expression — run on startup, then on schedule
# - CRON_SCHEDULE= # Manual mode (keep alive, no auto-run)
# - CRON_SCHEDULE=0 3 * * 0 # Every Sunday at 3 AM
# - CRON_SCHEDULE=0 3 1 * * # First of every month
volumes:
# Replace with absolute paths on your host, e.g. /opt/winnow/models
- /path/to/winnow/models:/models
- /path/to/winnow/cache:/app/.if_cache
- /path/to/winnow/output:/app/frigate_train
restart: unless-stopped
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]