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.

D2LV: A Data-Driven and Local-Verification Approach for Image Copy Detection

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Code for our ICCV 2021 Paper "OadTR: Online Action Detection with Transformers".

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The Unsupervised Reinforcement Learning Benchmark (URLB)

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Fast, differentiable sorting and ranking in PyTorch

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Relative Human dataset, CVPR 2022

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Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021)

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PyTorch implementation of saliency map-aided GAN for Auto-demosaic+denosing

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pytorch implementation of fast-neural-style

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Open source implementation of AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing

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