torch-points3d and pointnet
torch-points3d is a comprehensive framework that builds upon foundational architectures like PointNet, making B a core component that A extends rather than a competitor to it.
About torch-points3d
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
This framework helps machine learning engineers and researchers quickly build and evaluate deep learning models for analyzing 3D point cloud data. It takes raw 3D point cloud data as input and can output classifications (e.g., identifying objects), segmentations (e.g., separating parts of an object or different objects in a scene), or assist in 3D object detection and registration. Researchers developing new algorithms for 3D data analysis would find this especially useful.
About pointnet
nikitakaraevv/pointnet
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
This project helps classify 3D objects or segment their parts directly from raw 3D point cloud data. You feed in a 3D scan or point cloud representation of an object, and it tells you what the object is (e.g., a chair, a bathtub) or identifies its distinct parts (e.g., an airplane wing, fuselage). It's ideal for engineers, designers, or researchers working with 3D models and scans.
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