facebookresearch / pytorchvideo
A deep learning library for video understanding research.
Summary
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| Main Code: 15,364 LOC (181 files) = PY (90%) + YAML (5%) + JS (2%) + CSS (1%) + CFG (<1%) + YML (<1%) + IN (<1%) Secondary code: Test: 8,581 LOC (58); Generated: 0 LOC (0); Build & Deploy: 16 LOC (1); Other: 2,300 LOC (17); |
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| Duplication: 20% | |||
| File Size: 0% long (>1000 LOC), 54% short (<= 200 LOC) | |||
| Unit Size: 3% long (>100 LOC), 68% short (<= 10 LOC) | |||
| Conditional Complexity: 1% complex (McCabe index > 50), 82% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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9 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
9 files |
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Latest commit date: 2022-01-20
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3
commits
(30 days)
2
contributors
(30 days) |
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