dtoro
574d71371f
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>
63 lines
1.7 KiB
Plaintext
63 lines
1.7 KiB
Plaintext
# Core dependencies
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fastapi==0.109.0
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uvicorn[standard]==0.27.0
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python-multipart==0.0.6
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# Database
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sqlalchemy[asyncio]==2.0.25
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aiosqlite==0.19.0 # SQLite escape hatch (docker-compose.sqlite.yml override)
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asyncpg==0.29.0 # async Postgres driver (default)
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psycopg2-binary==2.9.9 # sync Postgres driver, used by Alembic CLI
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alembic==1.13.1
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# Redis and Celery
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redis==5.0.1
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celery==5.3.6
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flower==2.0.1
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# Image processing
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# pyvips==2.2.1 # Optional - having compatibility issues, using Pillow as fallback
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rawpy==0.26.1 # RAW decoder (CR2/NEF/ARW/DNG/…). cp312 wheels
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# ship with libraw bundled; the older 0.19 pin
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# had numpy 2.x incompatibilities — 0.26 is fine
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# with our numpy 1.26. iPhone ProRAW-style DNGs
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# that aren't real RAW still fail here; thumbs.py
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# falls back to opening them as JPEG in that case.
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pillow==10.2.0
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pillow-heif==0.15.0
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imagehash==4.3.1 # perceptual hash for duplicate detection
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imageio==2.33.1
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imageio-ffmpeg==0.4.9
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# Video processing
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ffmpeg-python==0.2.0
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# Metadata extraction
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pyexiftool==0.5.6
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# File watching
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watchfiles==0.21.0
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# Vision pipeline (ONNX Runtime CPU inference)
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onnxruntime==1.18.1
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open-clip-torch==2.24.0 # tokenizer + export helper; inference via ONNX
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numpy>=1.26.0,<2.0
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# Utilities
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pyyaml==6.0.1
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pydantic==2.5.3
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pydantic-settings==2.1.0
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python-dotenv==1.0.0
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httpx==0.26.0
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aiofiles==23.2.1
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# Security and authentication
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python-jose[cryptography]==3.3.0
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passlib[bcrypt]==1.7.4
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bcrypt==4.0.1
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# Development
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pytest==7.4.4
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pytest-asyncio==0.23.3
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black==23.12.1
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ruff==0.1.11 |