That's interesting, gaussian blur should definitely be faster on the gpu! Maybe this thread helps? http://answers.opencv.org/question/34127/opencl-in-opencv-300/ It seems like things are a little complicated, as it isn't really clear if the data is currently in VRAM or RAM...
2014-12-08 17:39 GMT+01:00 Max Suster <mxsst...@gmail.com>: > Thanks for the feedback. I realize that the copying needs to be skipped > if possible . . . > I have been playing a bit with the OpenCL UMat and it will need indeed > some tweeking because UMat is not always advantageous. > While there 10x gain with cvtColor and other functions such as > GasussianBlur are actually a little slower. > > I will have closer look at this tonight. > > Max > > On Monday, December 8, 2014 4:15:28 PM UTC+1, Simon Danisch wrote: >> >> If you're interested here are some more links: >> https://software.intel.com/en-us/articles/opencl-and-opengl- >> interoperability-tutorial >> Valentine's and mine prototype for OpenGL OpenCL interoperability in >> Julia: >> https://github.com/vchuravy/qjulia_gpu >> >> >> 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 >>> >>> >>> >>> >>> >>>
