![]() After a long wait, we will see the install folder under the 圆4_cuda_build folder, containing the 圆4 folder, which is the.But that can take a while, thus I can write a find module first. This is also related to what I mentioned in: 102 (comment) To my mind CMake should provide a way to distinguish the CUDA language and the CUDA libraries. When everything is OK with cMake, you can press the Open Project button, open the project with VS2019 and select Generate > Batch Generate > tick the Debug and Release versions of INSTALL and select Generate. This would require to write a CMake-Find-Module for the CUDA runtime libraries.for Pascal GPUs this version number should be 6.1 ) When cMake does not show any errors in red fonts, check the cMake output for the corresponding version number at CUDA, the cuDNN for CUDNN: YES (Ver X.X.X), and CUDA_ARCH_BIN for the graphics card’s arithmetic version.If cMake prompts you to check cMakeDownloadLog.txt during the build process, you should follow this article to resolve the problem. For users in China, cMake will automatically download some content from GitHub during the build process, but this may not be possible due to the GFW issues in China.If some of the above options don’t appear at first, click the configure button for the first time and then search for them. Once you’ve configured it as described above, click the configure button again.For Pascal GPUs, it should be 6.1 delete other version and only keep your GPU's computing ability. OPENCV_EXTRA_MODULES_PATH: Select "modules" folder under "opencv_contrib" directoryĬUDA_ARCH_BIN: Choose your GPU's computing ability, e.g. Adjust these configurations in CMake as follows:ĭISABLE: All contents after searching "python"ĭISABLE: All contents after searching "java"ĭISABLE: All contents after searching "test".Click “Configure”, select Visual Studio 2019 and 圆4, click “Yes”. Open CMake, select the source and build path accoring to your opencv directory. new a folder named 圆4_cuda_build under D:\opencv\build\.Extract the opencv-contrib.zip and puts it under D:\opencv\sources\ The reason why we need to download this source is that OpenCV puts some new features into opencv-contrib, such as CUDA computation support. Go to OpenCV Contrib Release Tags and download OpenCV Contrib source code according to your OpenCV Version.exe programme of OpenCV Windows in the OpenCV extracted directory. Or you can find a folder called “sources” after you run the. Instead, list CUDA among the languages named in the top-level call to the project () command, or call the enablelanguage () command with CUDA. It is no longer necessary to use this module or call findpackage (CUDA) for compiling CUDA code. Go to OpenCV Releases and download OpenCV 4.5.5 source code. cmake-modules (7) FindCUDA FindCUDA Warning Deprecated since version 3.10.Go to cMake Download and download the latest version of CMake.I guess that’s because the CUDA or cuDNN no longer support 32-bit Application. However, the 32-bit GPU version of OpenCV CANNOT be compiled due to some unknown errors when using VS 2019 to compile. If you want to use 32-bit CPU version or 64-bit GPU version, you need to recompile OpenCV from its source code as this tutorial shows. Note: The OpenCV you download from the OpenCV Releases Webpage is 64-bit CPU version of OpenCV. Step 2: Compile OpenCV with CUDA using CMake I am not sure though that I won't have later problems with this "hacky" way.Select Language: English / 正體中文 / 简体中文 Step 1: Install CUDA and cuDNNįollow This Tutorial to install CUDA and cuDNN properly. Use more recent version of Cuda (9.2) and modify the c:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\include\crt\host_config.h to change the upper limit of the _MSC_VER verification.īy doing the second option, I managed to configure and compile the project. ![]() Downgrade Visual Studio to a compatible version.And now, Microsoft plans to update the _MSC_VER on most of the upgrade. Meaning: NVIDIA lags behind when it comes to the Visual Studio versions. ![]() But even with the most recent version of Cuda, my Visual Studio is too recent. For starters, Cuda v8.0 is not compatible with Visual Studio 2017: Cuda 8.0 with Visual Studio 2017. ![]() Then, the problem was that I was using a too recent version of Visual Studio. I had to specify the CMAKE_CUDA_COMPILER option to "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/bin/nvcc.exe". CMakeLists.txt:4 (findpackage) Autodetected CUDA architecture (s): 7.5 Added CUDA NVCC flags for: -gencode archcompute75,codesm75 CMake Warning (dev) at C:/Users/eugene.roh/Downloads/libtorch-win-shared-with-deps-latest/libtorch/share/cmake/Caffe2/public/cuda. My environment variables where probably ignored also. And I am not sure at this stage that one was found at all. The first one was indeed that my Cuda version was not correctly identified.Alright! With help, I think I have the solution of my problems!
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