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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.

scikit-learn

Machine-learning algorithms and modeling tools for Python.

Popularity
Repository stars4,64367,972Highest
7-day net stars——
Fork75527,626Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-08-152026-11-02
Maintenance notesNot verifiedUnknown
Repository created2022-03-302010-08-17
License & use
LicenseApache-2.0 · PermissiveBSD-3-Clause · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryData science & machine learningData science & machine learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguagePythonPython
About this project[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.Machine-learning algorithms and modeling tools for Python.
Measured at2026-11-03 09:36 UTC2026-11-02 19:20 UTC

License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.