LE
wvangansbeke/LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
664 217 +0/wk
GitHub
computer-vision deep-learning end-to-end lane-detection least-squares pytorch self-driving-cars
Trend
0
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
wvangansbeke/LaneDetection_End2End has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | LaneDetection_End2End | datumaro | ofxCv | OpenCV |
|---|---|---|---|---|
| Stars | 664 | 664 | 665 | 663 |
| Forks | 217 | 155 | 274 | 162 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | C++ | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | NOASSERTION | N/A |
Capability Radar vs datumaro
LaneDetection_End2End
datumaro
Maintenance Activity 0
Last code push 2156 days ago.
Community Engagement 100
Fork-to-star ratio: 32.7%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.