Question

我曾尝试在CUDA支持下使用OpenCV。

我安装了Visual Studio 12 2013 Win64，OpenCV 3.1.0和CUDA 7.5。

使用WITH_CUDA = ON进行Cmake生成后，配置的结果如下所示。

我已将Markustp的问题页link 1视为我的情况，

和link 2关于修复opencv_world

如第一个链接所述，我已经在CMAKELists.txt（C：\ opencv \ sources \ CMakeLists.txt中的文件）中用“$ {CMAKE_LIBRARY_PATH_FLAG}”替换了“-L”，就像Dubrzr的建议一样。

# --------------------------------------------------------------------------
# Add CUDA libraries (needed for apps/tools, samples)
# --------------------------------------------------------------------------
if(HAVE_CUDA)
  set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_LIBRARIES}     ${CUDA_npp_LIBRARY})
  if(HAVE_CUBLAS)
    set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_cublas_LIBRARY})
  endif()
  if(HAVE_CUFFT)
    set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_cufft_LIBRARY})
  endif()
  foreach(p ${CUDA_LIBS_PATH})
  ---original source: set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} -L${p}
  ---revised part   : set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CMAKE_LIBRARY_PATH_FLAG}${p})
  endforeach()
endif()

接下来，我生成了OpenCV.sln，

已完成调试，发布选项（X64）中的构建和停止，没有任何错误。

当我构建像这样的opencv-cuda代码时，

#include <opencv2\cvconfig.h>
#include <opencv2\core\cvdef.h>
#include <opencv2\core\base.hpp>
#include <opencv2\core\core.hpp>
#include <opencv2\core\cuda.hpp>
#include <cuda.h>
#include <opencv2\highgui.hpp>
#include <iostream>
#include <stdio.h>
#include <Windows.h>
#include <opencv2\core\cuda.inl.hpp>
#include <opencv2\world.hpp>
#include <cuda_runtime.h>

using namespace std;
int main(){
int nDevices;
//cv::cuda::setDevice(0);
try{
cout << cv::cuda::getDevice();
}
catch (const cv::Exception& ex){
std::cout << "Error: " << ex.what() << endl;
}

int a = cv::cuda::getCudaEnabledDeviceCount();
//if (cv::cuda::DeviceInfo::isCompatible())
//{
//printf("Device is Compatible with OpenCV GPU-built binaries \n");
//}


printf("Enabled device count: %d\n", a);
cudaGetDeviceCount(&nDevices);

for (int i = 0; i < nDevices; i++){
cudaDeviceProp prop;
cudaGetDeviceProperties(&prop, i);
printf("Device Number : %d\n", i);
printf("Device name: %s\n", prop.name);
printf("Memory Clock Rate (KHz): %d\n", prop.memoryClockRate);

}
return 0;
}

结果是，

OpenCV Error: No CUDA support <The library is compiled without CUDA support> in throw_no_cuda, 
file C:\builds\master_PackSlave-win64-vc12-shared\opencv\modules\core\include\opencv2\core\private.cuda.hpp, line 97
Error: C:\builds\master_PackSlave-win64-vc12-shared\opencv\modules\core\include\opencv2\core\private.cuda.hpp, line 97:    
error: <-216> The library is compiled without CUDA support in funtion throw_no_cuda

Enabled device count: 0
Device Number : 0
Device name: GeForce GTX TITAN Z
Memory Clock Rate <kHz>: 3505000
Device Number : 1
Device name: GeForce GTX TITAN Z
Memory Clock Rate <kHz>: 3505000

我认为CUDA安装得很好（CUDA函数cudaGetDeviceCount运行良好，但函数throw_no_cuda（OpenCV函数??）可能有问题....

有人请帮助我T.T。

我花了过去一整天的时间来解决这个问题。

如何修复此错误 C：\ builds \ master_PackSlave-win64-vc12 shared \ opencv \ modules \ core \ include \ opencv2 / core / private.cuda.hpp

我找不到上面的目录，C：\ builds \ master_PackSlave-win64 ......

即使在CMake中使用WITH_CUDA = ON，也没有CUDA支持错误

0 个答案: