I'm using it in Visual Studio Community 2022 in a C++ project, and have linked the following .lib files: cudart_static.lib (from CUDA directory), opencv_world4.lib (from vcpkg) and cudnn.lib, yet no success. I assume this is a vcpkg issue, as I think I have installed the proper ...
my locally installed vcpkg (which i only installed because i wanted to mess with something only there and not in xmake) does: so, i don't have curl installed via vcpkg after finding out how i can use the xmake-repo (dev branch) as a repo and rebuilding, i do see the unistd error ...
Now that we have Visual Studio open we can build the project. Use the shortcut ctrl + shift + b to run the build command or click on the top menu “Build” -> “Build Solution”. Note: If you still have the command line open you can also use the command cmake --build . --...
(x86)\Microsoft Visual Studio 12.0\VC\bin\x86_amd64” -rdc=true -IInclude\cutil\inc -I"D:\Programs\BundleFusion-master\FriedLiver" -ISource\DXUT\Optional -ISource\DXUT\Core -IInclude\Uplink -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.0\include" -I"C:\Program Files\NVIDIA ...
- Name: `VCPKG_ROOT` Value: `C:\path\to\wherever\your\vcpkg\folder\is` Once you have Visual Studio 2022 installed, you can open this folder in basically any C++ editor, e.g. [VS Code](https://code.visualstudio.com/) or [CLion](https://www.jetbrains.com/clion/) or [Visual Stu...