chris.giteaandClaude Sonnet 5
d15c697e7c
Add a face/animal recognition feature: local ONNX detection (YuNet+SFace for faces with automatic person clustering, YOLOX-Nano for animal species) behind an IRecognitionService seam mirroring IPlaceSearchService's local/ remote proxy pattern, with a separate engine seam so the ONNX backend can be swapped later. Wired into the import/sync pipeline via TaskType.IMAGE_ANALYSIS with a visible progress task, a startup backfill for existing libraries, and a cheap perceptual-hash skip so metadata-only edits don't retrigger detection. Detected regions are stored (new person/media_face_region tables) and shown read-only in MediaInfoPane. Bundled ONNX weights (MIT/Apache-2.0) are tracked via Git LFS. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01JzvA5ySQUsYrMUTj7sHxFA
26 lines
885 B
Plaintext
26 lines
885 B
Plaintext
# Normalize line endings to LF for everything Git considers text, so a file's on-disk bytes
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# never depend on the OS or editor that last touched it. This matters most for Flyway migrations
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# under src/main/resources/db/migration: Flyway checksums the file content it applies, and a
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# CRLF/LF flip after a migration has already run invalidates that checksum on every other clone.
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* text=auto eol=lf
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*.sql text eol=lf
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*.java text eol=lf
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*.yaml text eol=lf
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*.yml text eol=lf
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*.properties text eol=lf
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*.css text eol=lf
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*.md text eol=lf
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*.xml text eol=lf
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*.jar binary
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*.png binary
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*.jpg binary
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*.jpeg binary
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*.ico binary
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*.icns binary
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# Bundled ONNX recognition models (src/main/resources/models/recognition/) — tens of MB each, stored via
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# Git LFS rather than directly in history so a plain clone stays small unless LFS objects are pulled.
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*.onnx filter=lfs diff=lfs merge=lfs -text
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