microsoft / human-pose-estimation.pytorch
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Summary
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| Main Code: 3,391 LOC (41 files) = PY (61%) + YAML (32%) + CU (3%) + PYX (2%) + HPP (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 209 LOC (2); |
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| Duplication: 39% | |||
| File Size: 0% long (>1000 LOC), 83% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 32% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 58% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (12 components) | ||
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3 years, 6 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: 2019-04-10
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