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ika-rwth-aachen/Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
782 125 +0/wk
GitHub
autonomous-vehicles birds-eye-view computer-vision deep-learning ipm machine-learning segmentation sim2real simulation
Trend
0
Star & Fork Trend (30 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ika-rwth-aachen/Cam2BEV has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Cam2BEV | finetune_alexnet_with_tensorflow | anycost-gan | 4KAgent |
|---|---|---|---|---|
| Stars | 782 | 782 | 782 | 782 |
| Forks | 125 | 403 | 98 | 44 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-3-Clause | MIT | Apache-2.0 |
Capability Radar vs finetune_alexnet_with_tensorflow
Cam2BEV
finetune_alexnet_with_tensorflow
Maintenance Activity 0
Last code push 327 days ago.
Community Engagement 80
Fork-to-star ratio: 16.0%. 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.