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.
Detect 3D objects and create maps from camera images for self-driving cars.
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Free · no card · unsubscribe anytime[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.
BEVFormer has 4.5k stars on GitHub. It has been forked 739 times. BEVFormer is written mainly in Python. It has been in active development since 2022. BEVFormer is available under the Apache-2.0 license. Its main topics are autonomous-driving, computer-vision, deep-learning, object-detection.
What is 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.
Is BEVFormer open source?
BEVFormer is an open-source project. It is released under the Apache-2.0 license.
Is BEVFormer free?
Yes. BEVFormer is free and open source — you can use, modify and self-host it.
What license does BEVFormer use?
BEVFormer is available under the Apache-2.0 license.
What language is BEVFormer written in?
BEVFormer is written mainly in Python.
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