Question

我尝试使用以下方式启动并运行：

OpenCv 2.4.10
Visual Studio 2013
Cuda toolkit 7.5（测试和运行的cuda样本）
Windows 10 x64
联想Y50与NVIDIA GEFORCE GTX 860M

我使用CMake和WITH_CUDA = ON编译了OpenCv，然后通过打开OpenCv.sln并构建了ALLBUILD和INSTALL项目来安装库。

将我的项目配置设置为：

VC ++目录
- 包括目录：
  - C：\ Program Files \ NVIDIA GPU Computing Toolkit \ CUDA \ v7.5 \ include
  - C：\ OpenCv \ opencv \ build \ install \ include（包含已编译的库）
  - C：\的OpenCV \的OpenCV \建立\包括
Linker-general-Additional libraries
- C：\的OpenCV \的OpenCV \建立\ 64 \ VC12 \ lib中
- C：\的OpenCV \的OpenCV \建立\安装\ 64 \ VC12 \ lib中
链接器输入 - 附加依赖
- opencv_calib3d2410d.lib
- opencv_contrib2410d.lib
- opencv_core2410d.lib
- opencv_features2d2410d.lib
- opencv_flann2410d.lib
- opencv_gpu2410d.lib
- opencv_highgui2410d.lib
- opencv_imgproc2410d.lib
- opencv_legacy2410d.lib
- opencv_ml2410d.lib
- opencv_nonfree2410d.lib
- opencv_objdetect2410d.lib
- opencv_ocl2410d.lib
- opencv_photo2410d.lib
- opencv_stitching2410d.lib
- opencv_superres2410d.lib
- opencv_ts2410d.lib
- opencv_video2410d.lib
- opencv_videostab2410d.lib

我的环境变量： Path = C：\ Program Files \ NVIDIA GPU Computing; Toolkit \ CUDA \ v7.5; C：\ OpenCv \ opencv \ build \ install \ x64 \ vc12 \ bin; C：\ OpenCv \ opencv \ build \ x64 \ vc12 \仓

测试代码：

   #include "opencv2\opencv.hpp"
   #include "opencv2\gpu\gpu.hpp"

    using namespace cv::gpu;
    using namespace std;

    int main() {
        {
        setDevice(0); 
        int gpu = getCudaEnabledDeviceCount();
        cout << gpu ;
        system("pause");
        return 0;
        }

}in

但是setDevice抛出

没有GPU支持（在没有CUDA支持的情况下编译库） EmptyDeviceInfoFuncTable :: setDevice，file C：\建立\ 2_4_PackSlave-Win64的-VC12共享\的OpenCV \ dynamicuda \包括\ opencv2 / dynamiccuda / dynamicuda.hpp。第84行

如果我评论setDevice（0）仍未检测到gpu，则getCudaEnabledDeviceCount返回0.

Answer 1

问题是Opencv 2.4.10支持CUDA 4.2，我的视频卡只与CUDA 6.5和7.5兼容，我通过安装OpenCV 3.0.0解决了

使用OpenCv 2.4.10 + Cuda 7.5 + W10

1 个答案: