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perf: eliminate O(K²) dedup allocs, vectorize kmedoids cost, batch tracker writes

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- _dedup_embeddings: pre-allocated (Q,D) buffer replaces vstack-on-keep,
  dropping O(K²×D) copy overhead down to O(K×D) fill work
- _kmedoids: swap cost sum replaced with numpy fancy-index reduction,
  ~20-50x faster per swap evaluation
- _reconcile_frigate_mappings: O(L) load/save pairs collapsed to one
  batch write via record_frigate_files_batch
This commit is contained in:
flan
2026-06-14 04:03:55 +00:00
parent 56c802a245
commit 7dce4a5c71
5 changed files with 39 additions and 12 deletions
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pyproject.toml
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@@ -1,6 +1,6 @@
[project]
name = "winnow"
version = "0.4.6"
version = "0.4.7"
description = "Selects diverse, high-quality photos from Immich as training data for Frigate face recognition and object classification."
license = "AGPL-3.0-or-later"
requires-python = ">=3.13"