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                Show EOL distros: 

              vision_opencv: cv_bridge | image_geometry

              Package Summary

              Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

              vision_opencv: cv_bridge | image_geometry

              Package Summary

              Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

              vision_opencv: cv_bridge | image_geometry

              Package Summary

              Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

              vision_opencv: cv_bridge | image_geometry

              Package Summary

              Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

              vision_opencv: cv_bridge | image_geometry

              Package Summary

              Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

              vision_opencv: cv_bridge | image_geometry

              Package Summary

              Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

              vision_opencv: cv_bridge | image_geometry

              Package Summary

              Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

              vision_opencv: cv_bridge | image_geometry

              Package Summary

              Packages for interfacing ROS with OpenCV, a library of programming functions for real time computer vision.

              Documentation

              The vision_opencv stack provides packaging of the popular OpenCV library for ROS. For information about the OpenCV library, please see the OpenCV main page at http://opencv.org/ links to complete documentation for OpenCV, as well as other OpenCV resources (like the bug tracker on http://code.opencv.org/)

              For OpenCV vision_opencv provides several packages:

              • cv_bridge: Bridge between ROS messages and OpenCV.

              • image_geometry: Collection of methods for dealing with image and pixel geometry

              In order to use ROS with OpenCV, please see the cv_bridge package.

              As of electric, OpenCV is a system dependency.

              Using OpenCV in your ROS code

              OpenCV2 is the official version supported on Indigo and Jade. To use it, you just need to add a dependency on opencv2 and find_package it in your CMakeLists.txt as you would for any third party package:

                 find_package(OpenCV)
                 include_directories(${OpenCV_INCLUDE_DIRS})
                 target_link_libraries(my_awesome_library ${OpenCV_LIBRARIES})

              You can also use OpenCV3: in that case, add a dependency to opencv3. But make sure that none of your dependencies depends on OpenCV2 (as you would get linked to both the OpenCVs which would most likely create a symbol conflict).

              If you have OpenCV2 installed and ROS OpenCV3, OpenCV3 will be find_package-ed first. If you do not want to compile against OpenCV3 but still wish to have it installed, just find_package OpenCV2 as follows:

                 find_package(OpenCV 2 REQUIRED)

              Report an OpenCV specific Bug

              If your issue is related to the OpenCV packaged in ROS (it is too old, you would like to see a backport in there ...), please file a bug for vision_opencv using the link provided at the top of this page.

              For issues specific to OpenCV:

              Tutorials

              cvbridge.png

              • To learn how to interface OpenCV with ROS, read the tutorials here.

              • For more information about OpenCV, read the documentation on OpenCV documentation or the tutorials on OpenCV tutorials.

              • OpenCV development meetings are listed here

              OpenCV3

              Since Indigo, there is a package for OpenCV3. Information about it is detailed at opencv3.

              Wiki: vision_opencv (2020-03-10 09:45:07由RobertZickler編輯)

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