https://github.com/kevinhughes27/cppvision

Framework for creating a FRC Vision System using C++/OpenCV 2.xx
https://github.com/kevinhughes27/cppvision

Last synced: about 1 month ago
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Framework for creating a FRC Vision System using C++/OpenCV 2.xx

• Host: GitHub
• URL: https://github.com/kevinhughes27/cppvision
• Owner: kevinhughes27
• Created: 2013-02-07T02:39:52.000Z (almost 12 years ago)
• Default Branch: master
• Last Pushed: 2015-04-27T23:31:05.000Z (over 9 years ago)
• Last Synced: 2024-12-16T12:53:09.018Z (about 1 month ago)
• Language: Java
• Size: 3.99 MB
• Stars: 0
• Watchers: 3
• Forks: 1
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
cppVision

=========

Framework for creating a FRC Vision System using C++/OpenCV 2.xx

A Smartdashboard widget that calls a c++ executable to perform a Computer Vision Algorithm on the Axis Camera image using OpenCV 2.xx. The image is passed to the c++ executable which runs the vision algorithm and returns the results. The widget also draws large cross-hairs over the whole video feed and small cross-hairs over the target found by the c++ executable.

To install the Smartdashboard widget simply copy the cppVision.jar file to your Smartdashboard/extensions folder then add it to your Smartdashboard using the drop down menu the same way you add the plain camera widget. You also need to copy your c++ executable to the Smartdashboard folder.

To build your own Vision program you will need to install OpenCV (http://opencv.org/) and minGW (http://www.mingw.org/) and add them both to the system path. A makefile has been provided in the cppMain folder, more details on building a OpenCV project using command line and minGW can be found here: http://kevinhughes.ca/tutorials/opencv-mingw-makefile/

This framework can easily be extended to call any vision processing program from the smartdashboard, for example it would be easy to write a vision algorithm in python and call that.

Future Considerations:

* The upcoming version of OpenCV features official desktop Java bindings essentially making this framework obsolete

* It would be cool to code a stand-alone (aka no Smartdashboard) java program that does the same thing

* It would also be neat to do the entire framework in c++, I originally looked into compiling the FRC / WPIlib NetworkTables for desktop c++ I made some progress but eventually ran out of time/steam

* Another possible avenue for separate FRC vision systems would be to use the python wrappers for OpenCV and the robotpy (https://github.com/robotpy) project which can be compiled for desktop.