Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Detect 3D objects quickly and accurately using data from LiDAR sensors.
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SFA3D has 1.1k stars on GitHub. It has been forked 280 times. SFA3D is written mainly in Python. It has been in active development since 2020. SFA3D is available under the MIT license. Its main topics are 3d-object-detection, bevmap, center, fast-detection.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
SFA3D is an open-source project. It is released under the MIT license.
Yes. SFA3D is free and open source — you can use, modify and self-host it.
SFA3D is available under the MIT license.
SFA3D is written mainly in Python.
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