DH
leoxiaobin/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
4.5k 926 +0/wk
GitHub
coco-keypoints-detection deep-high-resolution-net deep-learning high-resolution-net human-pose-estimation mpii mpii-dataset mscoco-keypoint
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leoxiaobin/deep-high-resolution-net.pytorch has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | deep-high-resolution-net.pytorch | monodepth2 | LightGlue | executorch |
|---|---|---|---|---|
| Stars | 4.5k | 4.5k | 4.5k | 4.5k |
| Forks | 926 | 986 | 516 | 928 |
| Weekly Growth | +0 | +1 | +3 | +3 |
| Language | Cuda | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | Apache-2.0 | NOASSERTION |
Capability Radar vs monodepth2
deep-high-resolution-net.pytorch
monodepth2
Maintenance Activity 0
Last code push 586 days ago.
Community Engagement 100
Fork-to-star ratio: 20.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.