ROS support for Velodyne 3D LIDARs

Last update: Dec 30, 2022

Related tags

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.

¹Velodyne: http://www.ros.org/wiki/velodyne
²ROS: http://www.ros.org
³Velodyne high definition 3D LIDARs: http://www.velodynelidar.com/lidar/lidar.aspx

Owner

ROS device drivers

GitHub Repository http://ros.org/wiki/velodyne

HybridNets: End-to-End Perception Network

HybridNets: End2End Perception Network HybridNets Network Architecture. HybridNets: End-to-End Perception Network by Dat Vu, Bao Ngo, Hung Phan 📧 FPT

370 Dec 29, 2022

Implementation of Barlow Twins paper

barlowtwins PyTorch Implementation of Barlow Twins paper: Barlow Twins: Self-Supervised Learning via Redundancy Reduction This is currently a work in

86 Dec 20, 2022

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

Parameterized Hypercomplex Graph Neural Networks (PHC-GNNs) PHC-GNNs (Le et al., 2021): https://arxiv.org/abs/2103.16584 PHM Linear Layer Illustration

26 Aug 11, 2022

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training By Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue. This

290 Dec 29, 2022

Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks

OnsagerNet Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks This is the original pyTorch implemenati

3 Aug 24, 2022

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Github Code of "MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices" Introduction This repo is official PyTorch implementatio

203 Jan 05, 2023

Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX

ONNX-MobileStereoNet Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX Stereo depth estimation on the cone

23 Nov 29, 2022

Code repository for the paper "Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation" with instructions to reproduce the results.

Doubly Trained Neural Machine Translation System for Adversarial Attack and Data Augmentation Languages Experimented: Data Overview: Source Target Tra

1 Aug 18, 2022

ROS support for Velodyne 3D LIDARs

Related tags

Overview

Overview

Owner

ROS device drivers

HybridNets: End-to-End Perception Network

Implementation of Barlow Twins paper

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

Python scripts for performing stereo depth estimation using the MobileStereoNet model in ONNX

Code repository for the paper "Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation" with instructions to reproduce the results.

Self-supervised Multi-modal Hybrid Fusion Network for Brain Tumor Segmentation

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Localizing Visual Sounds the Hard Way

Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at [email protected]

Code, Data and Demo for Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting

A machine learning project which can detect and predict the skin disease through image recognition.

BBB streaming without Xorg and Pulseaudio and Chromium and other nonsense (heavily WIP)

Code and data for ACL2021 paper Cross-Lingual Abstractive Summarization with Limited Parallel Resources.

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Convnext-tf - Unofficial tensorflow keras implementation of ConvNeXt

Histology images query (unsupervised)

This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.