Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Create a bird's eye view image from multiple vehicle camera images for autonomous driving applications.
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Free · no card · unsubscribe anytimeTensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Cam2BEV has 790 stars on GitHub. It has been forked 127 times. Cam2BEV is written mainly in Python. It has been in active development since 2020. Cam2BEV is available under the MIT license. Its main topics are autonomous-vehicles, birds-eye-view, computer-vision, deep-learning.
What is Cam2BEV?
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Is Cam2BEV open source?
Cam2BEV is an open-source project. It is released under the MIT license.
Is Cam2BEV free?
Yes. Cam2BEV is free and open source — you can use, modify and self-host it.
What license does Cam2BEV use?
Cam2BEV is available under the MIT license.
What language is Cam2BEV written in?
Cam2BEV is written mainly in Python.
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