![]() ![]() This algorithm was tested on Windows 8.1 and Windows 10, but, in theory, it can be built on Windows 7. In this article, we examined the installation of OpenCV 4 for Windows 10. To remove OpenCV, you need to run the command.Ĭmake -build %opencvBuild% -target uninstall -config ReleaseĪnd remove the OPENCV_DIR system variable and remove the path to OpenCV from PATH. Print("Time elapsed:", end - start, "sec") We will test the functionality of OpenCV with the CUDA module using a simple example of matrix multiplication. It may take several hours to build, depending on your processor and version of Visual Studio.Ĭmake -build %opencvBuild% -target ALL_BUILD -config ReleaseĬmake -build %opencvBuild% -target INSTALL -config ReleaseĪfter successful installation, create the OPENCV_DIR system variable with the value C: \ OpenCV \ opencv-4.1.1 \ build \ install \ 圆4 \ vc15 \ bin and also add it to PATH. We check all the information, especially the sections of NVIDIA CUDA, Python 2, Python 3. DPYTHON3_PACKAGES_PATH="%python3_packages_path%"Īfter about 10 minutes, the assembly information and the final lines “Configuring done” and “Generating done” should appear in the console. DPYTHON3_NUMPY_INCLUDE_DIRS="%python3_numpy_include_dirs%" ^ DPYTHON3_INCLUDE_DIR="%python3_include_dir%" ^ DPYTHON3_EXECUTABLE="%python3_executable%" ^ DPYTHON2_PACKAGES_PATH="%python2_packages_path%" ^ DPYTHON2_NUMPY_INCLUDE_DIRS="%python2_numpy_include_dirs%" ^ DPYTHON2_INCLUDE_DIR="%python2_include_dir%" ^ ![]() DPYTHON2_EXECUTABLE="%python2_executable%" ^ DBUILD_opencv_python_bindings_generator=ON ^ DOPENCV_EXTRA_MODULES_PATH="%opencvExtraModules%/" ^ In case of unsuccessful generation or errors after executing the command, repeated generation should be performed by cleaning all the files in build / and. Generate assembly files using the long command below. Checking this out is easy: import _info as sysinfo Please note that the NumPy library must be the same bit depth as OpenCV. Set "python3_packages_path=C:/Users/root/Anaconda3/Lib/site-packages" Set "python3_library=C:/Users/root/Anaconda3/libs/python37.lib" Set "python3_include_dir=C:/Users/root/Anaconda3/include" Set "python3_executable=C:/Users/root/Anaconda3/python.exe" Set "python2_packages_path=C:/Python27/Lib/site-packages" ![]() Set "python2_numpy_include_dirs=C:/Python27/Lib/site-packages/numpy/core/include" Set "python2_library=C:/Python27/libs/python27.lib" Set "python2_include_dir=C:/Python27/include" set "python2_executable=C:/Python27/python.exe" You can also explicitly specify the Python libraries for python 2 and python 3 in case the collector cannot find them automatically. For Visual Studio 2017, the generator is written as “Visual StuWin64” and without the -A flag. Set "opencvExtraModules=opencv_contrib-4.1.1/modules" We open the console along the path C: \ OpenCV \ and register the variables. We will use the console version of cmake, since cmake-gui confuses the types of some variables (for example, OPENCV_PYTHON3_VERSION) and, as a result, generates files incorrectly. Next, we generate assembly files using cmake. git clone -b "4.1.1"Ĭreate the build / folder inside opencv-4.1.1. Next, download the opencv-4.1.1 and opencv-contrib-4.1.1 source archives to the desired location (in my case, this is C: \ OpenCV ). Also, if necessary, change the installation paths to your own.įirst you need to install the required software, and Visual Studio must be installed before CUDA:Īfter installing all the components, make sure that the paths for CMake, Visual Studio, Python, CUDA, CuDNN are written in the variables PATH, PYTHONPATH, CUDA_PATH and cudnn, respectively. Since the installation is done through console commands, you should carefully and accurately carry out all the steps.
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