Files
winnow/compose.yml
T
flanandClaude Sonnet 4.6 c861d56a53 feat: expose all interactive CLI options via env vars
- config.py: wire BLUR_THRESHOLD, MIN_CONFIDENCE, MAX_AUTO_IMAGES,
  FACE_MARGIN, USE_FULL_RESOLUTION, ENABLE_FACE_ALIGNMENT to env vars
  (were hardcoded class defaults, inaccessible in AUTO_MODE)
- jobs.py: add LIMIT env var for custom image count in auto mode;
  overrides STRATEGY preset (mirrors interactive Custom Count option)
- compose.yml: document all env vars with inline comments grouped by
  concern — mode/strategy, people filtering, image quality, caching,
  tracker overrides, scheduling

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-12 00:37:16 +00:00

69 lines
3.9 KiB
YAML

services:
if-curator:
image: ghcr.io/sudolulo/if-curator-headless:latest
container_name: if-curator
environment:
# ── Required ──────────────────────────────────────────────────────────
- IMMICH_URL=${IMMICH_URL}
- API_KEY=${API_KEY}
- FRIGATE_URL=${FRIGATE_URL}
# ── Mode & Strategy ───────────────────────────────────────────────────
- AUTO_MODE=true
# 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=false
- ENABLE_CACHE=true
- CACHE_DIR=/app/.if_cache
- HF_HOME=/models/huggingface
- INSIGHTFACE_HOME=/models
# ── 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 expression (unset = run once and exit)
# Every Sunday at 3 AM:
- CRON_SCHEDULE=0 3 * * 0
# - CRON_SCHEDULE=0 3 1 * *
# - CRON_SCHEDULE=*/30 * * * *
volumes:
# Replace <pool> with your TrueNAS pool name, e.g. /mnt/tank/if-curator/...
- /mnt/<pool>/if-curator/models:/models
- /mnt/<pool>/if-curator/embeddings:/app/.if_cache
- /mnt/<pool>/if-curator/output:/app/frigate_train
stdin_open: true
tty: true
restart: unless-stopped
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]