facebookresearch / maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Summary
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| Main Code: 15,372 LOC (210 files) = PY (62%) + YAML (16%) + CU (16%) + H (3%) + CPP (1%) | |||
| Duplication: 28% | |||
| File Size: 0% long (>1000 LOC), 68% short (<= 200 LOC) | |||
| Unit Size: 3% long (>100 LOC), 53% short (<= 10 LOC) | |||
| Conditional Complexity: 3% complex (McCabe index > 50), 71% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (22 components) | ||
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3 years, 3 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
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Latest commit date: 2019-11-20
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