ROS support for Velodyne 3D LIDARs

Related tags

Deep Learningvelodyne
Overview

Overview

Velodyne1 is a collection of ROS2 packages supporting Velodyne high definition 3D LIDARs3.

Warning:

The master branch normally contains code being tested for the next ROS release. It will not always work with every previous release. To check out the source for the most recent release, check out the tag <version> with the highest version number.

The current master branch works with ROS Kinetic and Melodic. CI builds are currently run for Kinetic and Melodic.

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Pytorch implementation of Cut-Thumbnail in the paper Cut-Thumbnail:A Novel Data Augmentation for Convolutional Neural Network.

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PyTorch implementation of the paper Ultra Fast Structure-aware Deep Lane Detection

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J Brave 2 Sep 01, 2022
Decorators for maximizing memory utilization with PyTorch & CUDA

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PyTorch implementation for 3D human pose estimation

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Official implementation of the paper 'High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network' in CVPR 2021

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