EP
mkocabas/EpipolarPose
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
610 95 +0/wk
GitHub
3d-pose-estimation computer-vision cvpr cvpr-2019 cvpr19 cvpr2019 human-pose-estimation machine-learning pytorch self-supervised-learning
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mkocabas/EpipolarPose has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | EpipolarPose | simple-HRNet | awesome-data-annotation | agentchain |
|---|---|---|---|---|
| Stars | 610 | 610 | 609 | 609 |
| Forks | 95 | 110 | 69 | 55 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | GPL-3.0 | N/A | MIT |
Capability Radar vs simple-HRNet
EpipolarPose
simple-HRNet
Maintenance Activity 0
Last code push 2478 days ago.
Community Engagement 78
Fork-to-star ratio: 15.6%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.