Previously reset_person wiped the local tracker but left existing Frigate
training files as orphans, causing the next run to upload a full new batch
on top of them. Now deletes all winnow-managed files from Frigate first so
the next run starts truly clean. Manually-added Frigate files are never
touched.
Also fixes a spurious warning when FRIGATE_URL is unset: the deletion step
is now skipped at info level rather than logging a misleading error. Moves
the deferred import to top-level and eliminates a double disk read.
Bumps to 0.4.1. Also fixes ruff lint violations in executor.py (import
sort, line length) and promotes the "winnow only touches files it uploaded"
callout to the README intro.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Finalizes the 0.4.0 release:
- Version bumped to 0.4.0 in pyproject.toml
- CHANGELOG.md: add [0.4.0] section covering Frigate pre-upload scoring,
quality replacement inversion, bootstrap fix, FRIGATE_SCORE_CEILING,
ENABLE_FRIGATE_SCORES, removal of post-upload quality gate, and all
doc/default corrections
- README.md: step 8 updated for dual-mode replacement, FRIGATE_SCORE_CEILING
and ENABLE_FRIGATE_SCORES added to env var table, MIN_FACE_WIDTH and
BLUR_THRESHOLD defaults corrected (50→90, 100→120)
- .env.example: FRIGATE_SCORE_THRESHOLD replaced with FRIGATE_SCORE_CEILING;
QUALITY_REPLACEMENT line added; comments updated to match current semantics
- winnow/executor.py: bootstrap fix — recognize now called for all below-cap
uploads when ENABLE_FRIGATE_SCORES=true (was gated on CEILING > 0)
- winnow/upload_tracker.py: frigate_scores schema comment corrected to
pre-upload; get_most_redundant_mapped_file() added
- winnow/frigate_api.py: recognize_face returns (face_name, score)|None tuple
so wrong-person scores never drive replacement or ceiling decisions
- winnow/config.py: FRIGATE_SCORE_THRESHOLD renamed to FRIGATE_SCORE_CEILING;
ENABLE_FRIGATE_SCORES added
- tests/test_upload_tracker.py: 4 new tests for get_most_redundant_mapped_file
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Pipeline rewritten as 8 steps: separates thumbnail pass (quality filter +
embeddings) from full-res download and crop; adds quality replacement
logic at the upload step
- Persistence note updated to cover rejected IDs and RETRY_REJECTED
- Auto mode stopping threshold documented (20%/10% of median pairwise distance)
- Add OUTPUT_DIR env var (was undocumented)
- Local Install section notes interactive vs auto mode behaviour
- QUALITY_REPLACEMENT description tightened
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- update-lockfile.yml: rename workflow to "Update lockfiles"
- release.yml: add explicit uv python install 3.13 for consistency with other workflows
- docker-publish.yml: rename cpu cache scope from linux/amd64-cpu to cpu (now multi-arch)
- README: add GitHub release version badge and License badge
- README: shorten QUALITY_REPLACEMENT table cell
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Dockerfile: ARG VERSION + OCI labels (title, description, source, licenses, version)
- release.yml: pass VERSION build-arg to all four image builds
- docker-publish.yml: extend paths-ignore to cover community files
- .github/ISSUE_TEMPLATE/config.yml: disable blank issues, link to Discussions and wiki
- README.md: add Getting Help section
- pyproject.toml: expand description; add System Administrators audience classifier
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
When a person is at MAX_AUTO_IMAGES, winnow now replaces the
lowest-quality mapped training image in Frigate if a higher-confidence
candidate is available, keeping the training set always optimised.
Only files winnow uploaded (tracked via frigate_files mapping) are ever
replaced — manually added Frigate training images are never touched.
A concurrent-upload race condition is detected per-file: if N>1 new
files appear after one upload, the mapping is skipped rather than
guessed, logging at INFO level. The per-file snapshot approach is
retained over a batch approach because wrong mappings (which a batch
approach risks on race) are worse than no mapping.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
New image variants:
- :rocm — InsightFace via ROCmExecutionProvider, SigLIP via PyTorch ROCm 6.3
- :intel — InsightFace via OpenVINOExecutionProvider (onnxruntime-openvino);
Intel GPU compute runtime auto-installed from Intel graphics repo;
OPENVINO_DEVICE=GPU opts into Arc/iGPU inference (default: CPU)
Also adds:
- pyproject-rocm.toml + uv-rocm.lock, pyproject-intel.toml + uv-intel.lock
- compose.yml device passthrough snippets for AMD and Intel
- CI: build-rocm and build-intel jobs in docker-publish.yml; all four
variants built and tagged in release.yml
- README reworked: cleaner structure, GPU variant quick-start examples,
OPENVINO_DEVICE env var documented
- CHANGELOG entry and version bump to 0.2.12
Fix: IntPrompt in dict literal was eagerly evaluated in the no-embedding
fallback path of _get_strategy_choice, prompting users for a custom count
regardless of which strategy they picked.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- .env.example: add VERBOSE, remove active AUTO_MODE=true (now TTY-detected),
comment out FORCE_CPU/ENABLE_CACHE default values, update CRON_SCHEDULE
section to document all three modes
- README: clarify that log file is always DEBUG regardless of VERBOSE
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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>
Three container lifetime modes via CRON_SCHEDULE:
unset — run once on startup, exit
empty string — sleep infinity; use docker exec -it winnow winnow
cron expression — run on startup, then on schedule
This replaces the need for a separate MANUAL_MODE env var. The empty
string is a natural "I want the container alive but unscheduled" signal.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The primary use case is headless Docker, so auto mode is now the default
whenever stdin has no TTY. Interactive mode activates when a terminal is
present (docker run -it, local shell). AUTO_MODE=true remains as an
explicit override for scripting with a pseudo-TTY.
Removes AUTO_MODE=true, stdin_open, tty, and FORCE_CPU=false from
compose.yml — none are needed for headless operation. Updates README
and the interactive-mode hint in the CLI.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Introduces a VARIANT=gpu|cpu build arg to the Dockerfile. The cpu
variant uses ubuntu:22.04 (no CUDA base), installs torch+cpu and
onnxruntime (no GPU deps) via a separate pyproject-cpu.toml / uv-cpu.lock,
and is published as :cpu (dev-cpu on the dev branch) via a new
build-cpu CI job. Saves ~2 GB over the default GPU image.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- 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>
Title first, then badges on one consistent line. Removed redundant
Release and Lint badges. Fixed docs links to point to the wiki.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds context that winnow is especially useful for people who aren't
around enough for Frigate's live detections to supply adequate training
data on their own.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Advises users to review Frigate uploads after a run and remove bad
crops manually. Links to GitHub Issues for feedback.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- entrypoint.sh: replace `uv run` with `/app/.venv/bin/python` to skip
uv's sync check which was re-downloading ruff and rebuilding the package
on every container startup
- compose.yml, .env.example: fix INSIGHTFACE_HOME /models → /models/.insightface;
InsightFace appends models/ to root, so /models produced /models/models/buffalo_l
- README.md: add Immich and Frigate badges from upstream
- CHANGELOG.md, pyproject.toml, uv.lock: bump to 0.2.1
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add docs/setup.md, docs/troubleshooting.md, docs/faq.md as user-facing wiki
- Add .env.example with all env vars and inline comments
- Fix compose.override.yml: rename service if-curator → winnow, update volume paths
- Fix CHANGELOG.md: rename if-curator → winnow in release notes
- Link docs from README
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Describes the full pipeline (fetch → filter → embed → cluster → crop →
upload), explains why diversity matters and how the K-Medoids + FPS
selection works, covers both face and object modes in detail, and
documents all env vars in one place.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- LICENSE: add copyright line for Holden Salomon (retain original)
- pyproject.toml: update authors to Holden Salomon <holden@arch.fyi>
- README: lead with what the software does rather than fork attribution;
merge split env var tables into one unified reference; add lint/test
badges; move attribution to footer
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
flanandClaude Sonnet 4.6