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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″:
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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.
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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.