facebookresearch / Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Summary
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| Main Code: 15,250 LOC (177 files) = PY (68%) + YAML (24%) + CMAKE (4%) + PYX (1%) + M (<1%) + CU (<1%) + CC (<1%) + H (<1%) | |||
| Duplication: 31% | |||
| File Size: 0% long (>1000 LOC), 62% short (<= 200 LOC) | |||
| Unit Size: 4% long (>100 LOC), 42% short (<= 10 LOC) | |||
| Conditional Complexity: 2% complex (McCabe index > 50), 58% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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4 years 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: 2021-03-27
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