https://github.com/ros-perception/image_pipeline

An image processing pipeline for ROS.
https://github.com/ros-perception/image_pipeline

c-plus-plus image-processing python ros

Last synced: 3 months ago
JSON representation

An image processing pipeline for ROS.

• Host: GitHub
• URL: https://github.com/ros-perception/image_pipeline
• Owner: ros-perception
• License: other
• Created: 2012-08-28T22:15:05.000Z (about 12 years ago)
• Default Branch: rolling
• Last Pushed: 2024-07-26T11:57:00.000Z (4 months ago)
• Last Synced: 2024-07-26T13:21:17.536Z (3 months ago)
• Topics: c-plus-plus, image-processing, python, ros
• Language: C++
• Homepage:
• Size: 25.5 MB
• Stars: 770
• Watchers: 42
• Forks: 719
• Open Issues: 41
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-robotic-tooling - image_pipeline - Fills the gap between getting raw images from a camera driver and higher-level vision processing. (Sensor Processing / Image Processing)

README

        
image_pipeline

==============

[![Build Status](https://build.ros2.org/buildStatus/icon?job=Rdev__image_pipeline__ubuntu_noble_amd64)](https://build.ros2.org/job/Rdev__image_pipeline__ubuntu_noble_amd64/)

This package fills the gap between getting raw images from a camera driver and higher-level vision processing.

Documentation is hosted in the ROS 2 API docs.

The [image_pipeline](http://docs.ros.org/en/rolling/p/image_pipeline/)

documentation includes an overview,

[details on camera_info](http://docs.ros.org/en/rolling/p/image_pipeline/camera_info.html),

and links to the documentation for each individual package.

Not every aspect has been ported to the new ROS 2 API documentation yet, so

there is still additional (partially outdated) information

in [the ROS wiki entry](http://wiki.ros.org/image_pipeline).

If you are using an Nvidia Jetson platform, consider using modules from [Isaac Image Proc](https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_image_pipeline) - a collection of hardware accelerated `image_proc` features for the Jetsons.