c110a8e4f9
GPU: - Switch Dockerfile base to pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime - Add gpu_hasher.py: batched 2D DCT on GPU via PyTorch matrix multiply, 256 images/batch, produces imagehash-compatible 64-bit hex hashes, auto-falls back to CPU when CUDA unavailable - Replace per-image phash loop in scanner.py with phasher.hash_files() - docker-compose.yml: add nvidia GPU device reservation Hang fix: - takeout.is_takeout_folder() now caps at 50 directories (was walking entire tree — blocked for minutes on 65k+ file libraries) - Add "Not a Takeout folder" status message so takeout phase is never silent Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
23 lines
527 B
YAML
23 lines
527 B
YAML
services:
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dup-finder:
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build: .
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container_name: dup-finder
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restart: unless-stopped
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ports:
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- "8765:8000"
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volumes:
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# Mount the photo library — READ ONLY, never modified
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- /volume1/photos:/photos:ro
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# Database persistence
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- /volume1/docker/dup-finder/data:/data
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deploy:
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resources:
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limits:
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cpus: "4.0"
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memory: 4G
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities: [gpu]
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