GithubHelp home page GithubHelp logo

epvelasco / pc2image Goto Github PK

View Code? Open in Web Editor NEW
11.0 1.0 3.0 22.23 MB

This code converts a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor into a depth image mono16.

License: BSD 2-Clause "Simplified" License

CMake 4.85% C++ 95.15%
vlp-16 velodyne point-cloud depth-image pointcloud ros-melodic ros-kinetic

pc2image's Introduction

pc2image

This code converts a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor into a depth image mono16.

Requisites

  • ROS Kinetic or Melodic
  • Velodyne repository
    sudo apt-get install ros-melodic-velodyne-pointcloud
    
  • PCL (Point Cloud Library)

Clone repository

    cd ~/catkin_ws/src
    git clone https://github.com/EPVelasco/pc2image.git
    cd ..
    catkin_make --only-pkg-with-deps pc2image

Ros Launch

    roslaunch pc2image VLP16_image.launch

pc2image's People

Contributors

epvelasco avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

pc2image's Issues

My test result

Hi, Thank you for the awesome work.

I reproduce your work successfully and the following figure is the result:
result_1

The depth image is "unclear" compare to your result (pc2image.GIF).
Did you use sensor fusion? I noticed that your result has a image topic. In other words, the depth image is more clear due to use sensor fusion?

May i have your suggestions to understanding this phenomenon?
Any help is much appreciated:)

Extract depth image from rosbag

Hi, Thank you for the great work:)

I run rosbag record -O out /depth_image command to record the /depth_image topic and I get a .bag file. But I don't know how to extract these depth images from .bag file. I want to collect these data to train a network for pose estimation.

I would be grateful if you could give me some suggestions to achieve it.

Best wishes,
Yicheng

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.