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v0.1.0

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@tedornitier tedornitier released this 05 May 23:14
· 188 commits to main since this release
v0.1.0
ed5d800

Initial release.

Features

  • Automatic pet tagging in Immich using CLIP embeddings (ViT-B-16, openai weights).
  • Web enrollment UI: add pets, search your Immich library, assign reference photos.
  • Logistic regression classifier trained locally on ref vs. negative embeddings.
  • Poller runs every 5 minutes, classifies new photos, writes face entries to Immich.
  • Negative samples ("not my pets") to improve rejection of non-pet photos.
  • Clickable ref thumbnails linking back to Immich.
  • Scan status panel showing last run time and per-pet stats.
  • DRY_RUN mode for testing without writing to Immich.
  • Configurable confidence threshold, poll interval, and CLIP model via environment variables.
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