microsoft / O-CNN
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Summary
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| Main Code: 31,159 LOC (288 files) = CPP (47%) + PY (22%) + CU (8%) + CC (7%) + PROTO (4%) + HPP (3%) + H (3%) + YAML (2%) + M (<1%) | |||
| Duplication: 17% | |||
| File Size: 14% long (>1000 LOC), 56% short (<= 200 LOC) | |||
| Unit Size: 9% long (>100 LOC), 44% short (<= 10 LOC) | |||
| Conditional Complexity: 8% complex (McCabe index > 50), 55% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (15 components) | ||
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4 years, 7 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
12 files |
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Latest commit date: 2021-09-16
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