Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
Detect 3D objects in images using deep learning techniques to create bounding boxes around them.
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Free · no card · unsubscribe anytimeOfficial PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
dd3d has 493 stars on GitHub. It has been forked 74 times. dd3d is written mainly in Python. It has been in active development since 2021. dd3d is available under the MIT license. Its main topics are computer-vision, deep-learning, pytorch.
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
dd3d is an open-source project. It is released under the MIT license.
Yes. dd3d is free and open source — you can use, modify and self-host it.
dd3d is available under the MIT license.
dd3d is written mainly in Python.
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