BE
fundamentalvision/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
4.4k 718 +2/wk
GitHub
autonomous-driving computer-vision deep-learning object-detection
Trend
3
Star & Fork Trend (31 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
fundamentalvision/BEVFormer has +2 stars this period . 7-day velocity: 0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | BEVFormer | probability | machine_learning_basics | CTranslate2 |
|---|---|---|---|---|
| Stars | 4.4k | 4.4k | 4.4k | 4.4k |
| Forks | 718 | 1.1k | 837 | 467 |
| Weekly Growth | +2 | -1 | +1 | +2 |
| Language | Python | Jupyter Notebook | Jupyter Notebook | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | MIT |
Capability Radar vs probability
BEVFormer
probability
Maintenance Activity 0
Last code push 602 days ago.
Community Engagement 81
Fork-to-star ratio: 16.3%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 43
+2 stars this period — 0.05% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.