我正在尝试构建一个需要 CUDA 的程序。对于我提供的 CMake 脚本: cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. 找到CUDA,CMake正常运行: staudt ~/workspace/clutbb/cluster/build $ cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. -- Found CUDA: /usr/local/cuda (found version "6....
实际上,手头上要配置的工程是基于opencv3.1.0的,这个版本没有对cuda9.0的支持,与其去改opencv的cmake脚本源码,不如切换一下cuda版本。 查看了FindCUDA.cmake源码知道,调用cmake时指定CUDA_TOOLKIT_ROOT_DIR即可,例如 setCUDA_TOOLKIT_ROOT_DIR="D:/soft/NVIDIA GPU Computing Toolkit/CUDA/v8.0" cmake ^ -G"...
# project name,指定项目的名称,一般和项目的文件夹名称对应 project(smart) add_definitions(-std=c++11) # 添加支持c++11特征 # find_package(CUDA) find_package(OpenCV REQUIRED) # 它找到OpenCV程序库之后,就会帮助我们预定义几个变量,OpenCV_FOUND、OpenCV_INCLUDE_DIRS、OpenCV_LIBRARY_DIRS、OpenCV_LIBRARIES,...
在CMakeLists.txt 中或者加入语句 set(CUDA_TOOLKIT_ROOT_DIR /usr/local/cuda-X.X/) find_package(CUDA REQUIRED)如果需要全局修改,直接在 ../cmake/linux/share/cmake-3.15/Modulels/ 或/usr/share/cmake-3.10/…
4.configure完成后,在Search框内输入CUDA和fast,勾选三个配置 : WITH_CUDA 、OPENCV_DNN_CUDA、ENABLE_FAST_MATH,要按顺序进行 勾选WITH CUDA,如果要应用opencv的sift算法,则还需要将OPENCV_ENABLE_NONFREE勾选上: 绿框是要特别注意勾选和修改。TOOLKIT_ROOT_DIR是本机当前配置环境下的cuda版本目录。
As mentioned in #472, the variable, CUDA_SDK_ROOT_DIR doesn't get set for Linux users using cmake even though it does find Cuda. On Linux ( Ubuntu 14.04.1 ) this variable doesn't get automatically set during installation of Cuda ( like i...
I'm trying to build a program that requires CUDA. To the CMake script I supply: cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. CUDA is found and CMake runs normally: staudt ~/workspace/clutbb/cluster/build $ cmake -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda .. ...
{CUDA_TOOLKIT_ROOT_DIR})set(CUBLAS_PATHS/usr/usr/local/usr/local/cuda)# Finds the include directoriesfind_path(CUBLAS_INCLUDE_DIRSNAMEScublas_v2.hcuda.hHINTS${CUBLAS_HINTS}PATH_SUFFIXESincludeincinclude/x86_64include/x64PATHS${CUBLAS_PATHS}DOC"cuBLAS include header cublas_v2.h")mark_as_...
在构建OpenCV时,cmake需要能够找到CUDA的相关文件和库。确保已正确安装CUDA并配置好环境变量。 检查CMakeLists.txt文件:OpenCV的构建通常使用CMake进行配置和生成构建系统。确保CMakeLists.txt文件中正确设置了CUDA相关的路径和参数。这包括CUDA_TOOLKIT_ROOT_DIR、CUDA_ARCH_BIN、CUDA_ARCH_PTX等。 确保Docker容器中已...
I was also missing(according to cmake) the Cuda sdk location. After some research I found that "samples" was the sdk location so for Cuda_sdk_root_dir I added C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/extras/CUPTI