isaaccorley/simpleview-pytorch
PyTorch implementation of SimpleView from "Revisiting Point Cloud Classification with a Simple and Effective Baseline", Goyal et al. (2020)
This tool helps researchers and engineers working with 3D data classify point clouds efficiently. It takes 'depth images' generated from multiple perspectives of a 3D object or scene as input. The output is a classification of what that object or scene represents, ideal for applications like robotics or autonomous vehicles.
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Use this if you need a straightforward yet effective method to categorize 3D point cloud data based on rendered 2D views.
Not ideal if you need to perform complex 3D shape analysis or rely solely on raw point cloud structures without generating view-based representations.
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14
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Language
Python
License
MIT
Category
Last pushed
Apr 01, 2021
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