LA
lucastabelini/LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
695 178 +0/wk
GitHub
computer-vision deep-learning lane-detection pytorch
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucastabelini/LaneATT has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | LaneATT | mario-ai | Image-Augmentation | Lux.jl |
|---|---|---|---|---|
| Stars | 695 | 695 | 695 | 696 |
| Forks | 178 | 142 | 75 | 85 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Lua | Python | Julia |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | N/A | MIT |
Capability Radar vs mario-ai
LaneATT
mario-ai
Maintenance Activity 0
Last code push 1277 days ago.
Community Engagement 100
Fork-to-star ratio: 25.6%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.