Explore methods and resources for detecting and segmenting 3D point clouds in autonomous driving.
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Free · no card · unsubscribe anytime🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
3D-Point-Clouds has 615 stars on GitHub. It has been forked 84 times. 3D-Point-Clouds is written mainly in Jupyter Notebook. It has been in active development since 2021. 3D-Point-Clouds is available under the MIT license. Its main topics are 3d-detection, 3d-point-cloud, 3d-point-clouds, 3d-semantic-segmentation.
What is 3D-Point-Clouds?
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
Is 3D-Point-Clouds open source?
3D-Point-Clouds is an open-source project. It is released under the MIT license.
Is 3D-Point-Clouds free?
Yes. 3D-Point-Clouds is free and open source — you can use, modify and self-host it.
What license does 3D-Point-Clouds use?
3D-Point-Clouds is available under the MIT license.
What language is 3D-Point-Clouds written in?
3D-Point-Clouds is written mainly in Jupyter Notebook.
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