- 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>
- upload_to_frigate() now only processes face-mode jobs; object crops are
saved to the output directory as the deliverable (Frigate has no API for
object classifier training data — it must be copied manually)
- execute_jobs() only wipes the output dir for face mode; object crops
accumulate across runs as intended
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- executor.py: wipe person output dir before each run so stale crops
from previous runs don't accumulate on disk
- compose.yml: move inline comment off CRON_SCHEDULE value (croniter
would parse the comment text as part of the expression)
- compose.yml: add note clarifying <pool> placeholder in volume paths
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- get_people() and fetch_all_assets() only caught RequestException, leaving
JSONDecodeError unhandled if Immich returns a non-JSON 200 response
- cli.py thumbnail fetch used a raw header dict instead of get_headers()
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
upload_to_frigate() was scanning the output directory with os.listdir(),
picking up leftover files from previous runs and re-uploading them.
Use asset_map (populated by execute_jobs) to upload only current-run files.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
PIL opens JPEGs without applying EXIF rotation. Immich computes face
bounding boxes on orientation-corrected images, so portrait photos
produced misaligned crops (showing chins/eyes/foreheads instead of
whole faces). ImageOps.exif_transpose() normalizes orientation before
any coordinate math.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Hardcoded root="~/.insightface" ignored the INSIGHTFACE_HOME env var,
causing Buffalo_L to download into the container on every run instead
of persisting to the mounted volume.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Fix RGBA→JPEG error: convert all images to RGB before saving
- Upload tracker: per-person breakdown in JSON, reset_person(), get_person_summary()
- mark_rejected() only fires on face-detection failures (not all HTTP 400s)
- New env vars: DRY_RUN, RETRY_REJECTED, RESET_PERSON
- Tracker summary printed at startup showing uploaded/rejected counts per person
- Document new env vars in compose.yml
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
flanandClaude Sonnet 4.6