facebookresearch / pycls
Codebase for Image Classification Research, written in PyTorch.
Summary
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| Main Code: 6,365 LOC (113 files) = PY (64%) + YAML (35%) Secondary code: Test: 105 LOC (1); Generated: 0 LOC (0); Build & Deploy: 20 LOC (1); Other: 1,327 LOC (5); |
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| Duplication: 35% | |||
| File Size: 0% long (>1000 LOC), 84% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 72% short (<= 10 LOC) | |||
| Conditional Complexity: 2% complex (McCabe index > 50), 65% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (11 components) | ||
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2 years, 2 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) | |||
Latest commit date: 2021-08-19
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