> > > http://stackoverflow.com/questions/9097756/converting-data-from-glreadpixels-to-opencvmat
Seem that the link above shows a solution to this. Max On Monday, December 8, 2014 3:02:25 PM UTC+1, Simon Danisch wrote: > > That's really great! I will have to investigate, how to convert between > OpenGL datatypes and UMat. > It would be incredible, if we can convert between julia, opencl, opengl > and opencv datatypes without a big overhead. > I'm pretty sure, that no other language has this solved nicely! ;) > > Am Samstag, 6. Dezember 2014 11:44:45 UTC+1 schrieb Max Suster: >> >> >> Hi all, >> >> A few months ago I set out to learn Julia in an attempt to find an >> alternative to MATLAB for developing computer vision applications. >> Given the interest (1 >> <https://groups.google.com/forum/#!searchin/julia-users/OpenCV/julia-users/PjyfzxPt8Gk/SuwKtjTd9j4J> >> ,2 >> <https://groups.google.com/forum/#!searchin/julia-users/OpenCV/julia-users/81V5zSNJY3Q/DRUT0dR2qhQJ> >> ,3 >> <https://groups.google.com/forum/%23!searchin/julia-users/OpenCV/julia-users/iUPqo8drYek/pUeHECk91AQJ> >> ,4 >> <https://groups.google.com/forum/%23!searchin/julia-users/OpenCV/julia-users/6QunG66MfNs/C63pDfI-EMAJ> >> ) and wide application of OpenCV for fast real-time computer vision >> applications, I set myself to put together a simple interface for OpenCV in >> Julia. Coding in Julia and developing the interface between C++ and >> Julia has been a lot of fun! >> >> OpenCV.jl aims to provide an interface for OpenCV <http://opencv.org/> >> computer >> vision applications (C++) directly in Julia >> <http://julia.readthedocs.org/en/latest/manual/>. It relies primarily on >> Keno´s amazing Cxx.jl <https://github.com/Keno/Cxx.jl>, the Julia C++ >> foreign function interface (FFI). You can find all the information on my >> package at https://github.com/maxruby/OpenCV.jl. >> >> You can download and run the package as follows: >> >> Pkg.clone("git://github.com/maxruby/OpenCV.jl.git")using OpenCV >> >> >> For MacOSX, OpenCV.jl comes with pre-compiled shared libraries, so it is >> extremely easy to run. For Windows and Linux, you will need to first >> compile the OpenCV libraries, but this is well documented and links to the >> instructions for doing so are included in the README.md file. >> >> The package currently supports most of OpenCV´s C++ API; however, at this >> point I have created custom wrappings for core, imgproc, videoio and >> highgui modules so that these are easy to use for anyone. >> >> The package also demonstrates/contains >> >> - preliminary interface with the Qt GUI framework (see imread() and >> imwrite() functions) >> - thin-wrappers for C++ objects such as std::vectors, std::strings >> - conversion from Julia arrays to C++ std::vector >> - conversion of Julia images (Images.jl) to Mat (OpenCV) - though >> this has much room for improvement (i.e., color handling) >> >> Please let me know if there are any features you would like to see added >> and I will try my best to integrate them. In the meantime, I will continue >> to integrate more advanced algorithms for computer vision and eventually >> extend the documentation as needed. >> >> Cheers, >> Max >> >> >> >> >> >>
