Shypd.aiThe largest open index of AI toolsSqueezeSeg is a deep learning tool that implements convolutional neural networks for LiDAR point cloud segmentation. It enables real-time road-object segmentation from 3D LiDAR data.
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SqueezeSeg is a TensorFlow-based implementation of convolutional neural networks designed for real-time road-object segmentation from 3D LiDAR point clouds. This repository provides the code for SqueezeSeg, a model that processes LiDAR data to identify and segment objects in a scene, crucial for applications like autonomous driving. The project also references SqueezeSegV2, a follow-up work with improved performance, and provides links to download converted datasets for training and validation. It includes instructions for installation, running a demo, and training/evaluating the model, making it a valuable resource for researchers and developers in the field of autonomous vehicles and computer vision.
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