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- Cmake windows intel c compiler install#
- Cmake windows intel c compiler 64 Bit#
- Cmake windows intel c compiler archive#
To build with Visual Studio 2015 instead of 2013 replace -G”Visual StuWin64″ with -G”Visual StuWin64″: Then choose your configuration from below and copy to the command prompt where PATH_TO_BUILD_DIR is the location where you which to build OpenCV and PATH_TO_SOURCE_DIR is the location of the OpenCV source files.To temporarily set the environmental variables for locating your TBB installation. "C:\Program Files (x86)\IntelSWTools\compilers_and_libraries\windows\tbb\bin\tbbvars.bat" intel64 Open up the command prompt (windows key + r, then type cmd and press enter) and enter.Building OpenCV 3.3 with CUDA 8.0 with the CMake GUIīuilding OpenCV 3.3 with CUDA 8.0 from the command prompt (cmd).Building OpenCV 3.3 with CUDA 8.0 from the command prompt (cmd).Once you have decided proceed with the guide that applies to you: My advice would be to use the command prompt if you just want to compile OpenCv with CUDA and use the GUI if you want to add extra configuration options to your build. Generating solution files from the command prompt is both quicker and easier, however using the GUI enables you to more easily see and change the available configuration options. There are two ways to do this, from the command prompt or with the CMake GUI. In the next section we are going to generate the Visual Studio solution files with CMake. Generating OpenCV Visual Studio solution files with CMake
Cmake windows intel c compiler install#
Cmake windows intel c compiler archive#
Either clone the git repo making sure to checkout the 3.3.0 tag or download this archive containing all the source file. Download the source files, available on GitHub.To your path variable, and make sure you redistribute that dll with any of your applications.Īssuming you already have a compatible version of Visual Studio (2013 or 2015) installed there are a couple of additional components you need to download before you can get started, you first need to: The latest version of Intel TBB uses a shared library, therefore if you build with Intel TBB you need to addĬ:\Program Files (x86)\IntelSWTools\compilers_and_libraries\windows\redist\intel64_win\tbb\vc_mt.If you have built OpenCv with CUDA support then to use those libraries and/or redistribute applications built with them on any machines without the CUDA toolkit installed, you will need to redistribute the following dll’s from yourĬ:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin.The python bindings only allow you to call the standard OpenCV routines. You cannot call the CUDA modules from within python.The procedure outlined only works for Visual Studio 20 and will not work for Visual Studio 2017 because this is not supported by the CUDA 8.0 Toolkit.
Cmake windows intel c compiler 64 Bit#
The guide below details instructions on compiling the 64 bit version of OpenCV v3.3 shared libraries with Visual Studio 2013 (will also work with Visual Studio 2015 if selected in CMake), CUDA 8.0, support for both the Intel Math Kernel Libraries (MKL) and Intel Threaded Building Blocks (TBB), and bindings to allow you to call OpenCV functions from within python.īefore continuing there are a few things to be aware of: If you just need the Windows libraries then see Download OpenCV 3.3 with Cuda 8.0. OpenCV 3.4 which is compatible with CUDA 9.1 and Visual Studio 2017 was released on, go to Building OpenCV 3.4 on Windows with CUDA 9.1, Intel MKL+TBB, for the updated guide.īecause the pre-built Windows libraries available for OpenCV v3.3 do not include the CUDA modules, I have included the build instructions, which are almost identical to those for OpenCV v3.2, below for anyone who is interested.