
Previously, run.py would assume that the opencv_java library is in the same directory as the tests, which is only true on Windows. The library path depends on the build configuration, which may not be known until the actual build (e.g. with the Visual Studio generators), so it can't be stored in the CMake cache for run.py to read. I didn't want to hardcode into run.py where the library is on each platform, either. So that's why I used the current scheme with the properties file. It also makes running the tests without run.py a little easier.
OpenCV: Open Source Computer Vision Library
Resources
- Homepage: http://opencv.org
- Docs: http://docs.opencv.org
- Q&A forum: http://answers.opencv.org
- Issue tracking: http://code.opencv.org
Contributing
Please read before starting work on a pull request: http://code.opencv.org/projects/opencv/wiki/How_to_contribute
Summary of guidelines:
- One pull request per issue;
- Choose the right base branch;
- Include tests and documentation;
- Clean up "oops" commits before submitting;
- Follow the coding style guide.
Description
Languages
C++
83.4%
Cuda
5.9%
C
3.8%
Java
2.4%
CMake
2.2%
Other
2.1%