Drops face recognition, OCR, object detection, and semantic embeddings. The sole remaining vision task is a CLIP-based binary classifier (photography vs other); photos in "other" get needs_review=true so screenshots, documents, memes and scans can be triaged from a new filter pill in the UI. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
23 lines
459 B
Python
23 lines
459 B
Python
"""
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Database models for Mulita
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"""
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from app.models.user import User
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from app.models.photos import Photo
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from app.models.folders import Folder, SourceRoot
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from app.models.tags import Tag, PhotoTag
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from app.models.heaps import Heap, HeapPhoto
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from app.models.sharing import HeapShare, FolderShare
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__all__ = [
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'User',
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'Photo',
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'Folder',
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'SourceRoot',
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'Tag',
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'PhotoTag',
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'Heap',
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'HeapPhoto',
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'HeapShare',
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'FolderShare',
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]
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