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Deep Learning with Point Clouds | Deep Learning for 3D Object Detection, Part 3 | Grace Woolson

Deep Learning with Point Clouds | Deep Learning for 3D Object Detection, Part 3 | Grace Woolson

Learn how to use deep learning to train a 3D object detector with this video! Using a dataset of 3D point clouds collected from a lidar, Abhishek and I show how you can preprocess this kind of data and use it to train a neural network that can detect objects. https://lnkd.in/eg5BaaDc

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PyTorch3D is an open source library for 3D deep learning. It includes support for easy batching of heterogeneous meshes and point clouds, optimized implementations of common 3D operators, as well as a differentiable renderer for point clouds and meshes. As part of CVPR 2020, we're hosting a tutorial that takes place tomorrow. Details here: http://s9xie.github.io/Tutorials/CVPR2020/ Read more about PyTorch3D here: https://ai.facebook.com/blog/-introducing-pytorch3d-an-open-source-library-for-3d-d

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