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chore: bump version to 0.4.0, update changelog and all docs

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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>
This commit is contained in:
flan
2026-06-13 18:35:11 +00:00
co-authored by Claude Sonnet 4.6
parent ed045f07dd
commit 6fcea587ff
9 changed files with 213 additions and 219 deletions
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.env.example
+3 -2
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@@ -30,8 +30,9 @@ STRATEGY=auto
# MIN_CONFIDENCE=0.7 # Minimum face detection confidence (default: 0.7)
# BLUR_THRESHOLD=120.0 # Laplacian blur threshold; lower = accept more blur (default: 120.0)
# MAX_AUTO_IMAGES=80 # Hard cap on auto-diversity selection (default: 80)
# FRIGATE_SCORE_THRESHOLD=0.0 # Quality gate: remove images scoring below this after upload (0 = disabled; requires at least one prior run)
# ENABLE_FRIGATE_SCORES=true # Call Frigate's recognize endpoint after each upload to store quality scores (default: true; adds ~200ms per upload)
# QUALITY_REPLACEMENT=true # At cap, replace a weaker tracked image with a better candidate (default: true)
# FRIGATE_SCORE_CEILING=0.0 # Skip uploads already well-covered (pre-upload score > ceiling = redundant; 0 = disabled; requires at least one prior run)
# ENABLE_FRIGATE_SCORES=true # Call Frigate's recognize endpoint pre-upload to store diversity scores (default: true; adds ~200ms per upload)
# ── Caching & Models ──────────────────────────────────────────────────────────
# FORCE_CPU=true # Disable GPU, fall back to CPU