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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The original implementation of TNDM used in the NeurIPS 2021 paper (no longer being updated)

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Cross-modal Deep Face Normals with Deactivable Skip Connections

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Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps.

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82 Nov 29, 2022
Improving 3D Object Detection with Channel-wise Transformer

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TorchOk - The toolkit for fast Deep Learning experiments in Computer Vision

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Implementation of CVPR 2021 paper "Spatially-invariant Style-codes Controlled Makeup Transfer"

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118 Dec 12, 2022
InsCLR: Improving Instance Retrieval with Self-Supervision

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FIRM-AFL is the first high-throughput greybox fuzzer for IoT firmware.

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356 Dec 23, 2022
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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code for "Self-supervised edge features for improved Graph Neural Network training",

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