SQ
BichenWuUCB/SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
578 240 +0/wk
GitHub
autonomous-vehicles deep-neural-networks lidar-point-cloud
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
BichenWuUCB/SqueezeSeg has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | SqueezeSeg | InnerEye-DeepLearning | poutyne | CNSurvey |
|---|---|---|---|---|
| Stars | 578 | 578 | 578 | 578 |
| Forks | 240 | 146 | 64 | 94 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-2-Clause | MIT | LGPL-3.0 | CC0-1.0 |
Capability Radar vs InnerEye-DeepLearning
SqueezeSeg
InnerEye-DeepLearning
Maintenance Activity 0
Last code push 2514 days ago.
Community Engagement 20
Fork-to-star ratio: 41.5%. 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 BSD-2-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.