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fix: v0.6.2 — structural tracker refactor, batch writes, multi-instance prep

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- Drop flat list as primary storage; derive uploaded/rejected IDs from by_person
  (single source of truth). Legacy flat lists in existing files still read for
  backward compat. Removes dual-representation sync hazard.
- Add begin_batch/flush_batch: per-person upload loop now does 1 os.replace
  instead of N (one per mark_uploaded call). Benefit on slow storage.
- reset_all_people(): RESET_PERSON=* is now O(1) disk writes instead of O(P^2).
- blur_score_from_image inlines cv2.Laplacian directly, removing assess_quality
  call overhead and decoupling from the full quality pipeline.
This commit is contained in:
flan
2026-06-16 15:44:41 +00:00
parent dc2efb5ac4
commit 4cdd4657d6
7 changed files with 92 additions and 28 deletions
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pyproject.toml
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@@ -1,6 +1,6 @@
[project]
name = "winnow"
version = "0.6.1"
version = "0.6.2"
description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition."
license = "AGPL-3.0-or-later"
requires-python = ">=3.13"