4ce41ecb17
A still replayed as frames gave every frame the same boxes, so the live path
never saw a track move. /v1/samples/{id}?pan=N now returns a portrait 720x1280
window slid N*PAN_STEP pixels along the sample, reversing at each edge, at the
frame size and JPEG quality the phone sends.
The decoded image is cached by (mtime, size): re-reading a 1500x2000 JPEG per
frame cost more than the encode and made the walk slower than PAN_STEP says.
Measured after the cache: 3.3 ms mean per panned frame, 301 frames/s ceiling.
Two tests, both verified to fail before the change.
41 lines
854 B
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41 lines
854 B
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*.class
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# OS artifacts
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.DS_Store
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Thumbs.db
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# Virtual environments
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venv/
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env/
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ENV/
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.venv/
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# IDE files
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.vscode/
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.idea/
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# Temporary weights
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runs/detect/train/weights/last.pt
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weights/dinov2_vits14_lvd142m.safetensors
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*.log
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stock-*/identity_head.pt
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.gallery_cache_*.npz
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.demo-token
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config/local.env
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# Fetched images. Every set keeps its manifest.json (source URL, licence,
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# artist) and its results in git; the pixels are re-fetchable from those URLs
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# and are 59 MB for the Wikimedia shelves alone.
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data/external-shelves/*/*.jpg
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data/external-shelves/*/*.jpeg
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data/external-shelves/*/*.JPG
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data/external-shelves/*/*.png
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data/packshots/research/*/images/
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data/packshots/research/*/pages/
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data/packshots/research/*/*.jpg
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# Rebuildable sweep cache (code/sweep_accept_lines.py --cache).
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*.pkl
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