PD
RobotLocomotion/pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
575 134 +0/wk
GitHub
3d artificial-intelligence computer-vision deep-learning manipulation pytorch robotics self-supervised-learning vision
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0
Star & Fork Trend (21 data points)
Stars
Forks
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Growth Velocity
RobotLocomotion/pytorch-dense-correspondence has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | pytorch-dense-correspondence | modeltime | Finding-missing-person-using-AI | clDNN |
|---|---|---|---|---|
| Stars | 575 | 575 | 575 | 575 |
| Forks | 134 | 86 | 159 | 112 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | R | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | NOASSERTION | N/A | N/A |
Capability Radar vs modeltime
pytorch-dense-correspondence
modeltime
Maintenance Activity 0
Last code push 1066 days ago.
Community Engagement 100
Fork-to-star ratio: 23.3%. 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.