Windows10+vs2013+cuda9.1+opencv3.4.2 的安装配置

本文详细介绍了如何在Windows10环境下,配置CUDA 9.1、OpenCV 3.4.2和Visual Studio 2013的集成开发环境。首先,通过Nvidia控制面板确认显卡支持CUDA版本,然后从官方网站下载并安装CUDA。接着,配置环境变量,并检查CUDA安装是否成功。之后,下载OpenCV源码,使用CMake进行编译,并在VS2013中生成库文件。最后,配置新项目的工程属性,编写测试代码验证GPU和CPU的图像灰度转换功能。

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本机安装环境:

        笔记本:系统 windows10家庭中文版;显卡:NVIDIA  GeForce 930 MX; VS 版本:2013 ;Opencv 版本:3.4.2;

安装vs2013:

本机已安装,不赘述;

安装 cuda9.1:

      step 1:打开Nvidia 控制面板,查看显卡支持的cuda版本:

                   点击系统信息--组件:本机为9.1.126,支持cuda9.1;

      step 2:去cuda官网下载对应版本的安装程序,例本机如下选择:

                     官网:https://developer.nvidia.com/cuda-toolkit-archive

                    选择网络版进行下载安装:

 

      step 3:点击下载的.exe进行安装:

                    安装路径默认就可以,然后选择自定义安装,只安装cuda:

 

含有Visual Studio的属性表配置,需要改下自己的路径即可使用 教程请参考 https://blog.csdn.net/yl_best/article/details/89190142 OpenCV3.4.2 + VS2013 + CMake3.12.1 with Contrib3.4.2 without hdf module without BUILD_opencv_world Release && Debug: many dll/lib General configuration for OpenCV 3.4.2 ===================================== Version control: unknown Extra modules: Location (extra): D:/software/OpenCV/SourceCode/opencv_contrib-3.4.2/modules Version control (extra): unknown Platform: Timestamp: 2019-04-9 Host: Windows 10.0.16299 AMD64 CMake: 3.12.1 CMake generator: VC12 Visual Studio 2013 CMake build tool: VC12 Visual Studio 2013 Configuration: Release && Debug OpenCV342_debug: opencv_aruco342d.lib opencv_bgsegm342d.lib opencv_bioinspired342d.lib opencv_calib3d342d.lib opencv_ccalib342d.lib opencv_core342d.lib opencv_datasets342d.lib opencv_dnn342d.lib opencv_dnn_objdetect342d.lib opencv_dpm342d.lib opencv_face342d.lib opencv_features2d342d.lib opencv_flann342d.lib opencv_fuzzy342d.lib opencv_hfs342d.lib opencv_highgui342d.lib opencv_imgcodecs342d.lib opencv_imgproc342d.lib opencv_img_hash342d.lib opencv_line_descriptor342d.lib opencv_ml342d.lib opencv_objdetect342d.lib opencv_optflow342d.lib opencv_phase_unwrapping342d.lib opencv_photo342d.lib opencv_plot342d.lib opencv_reg342d.lib opencv_rgbd342d.lib opencv_saliency342d.lib opencv_shape342d.lib opencv_stereo342d.lib opencv_stitching342d.lib opencv_structured_light342d.lib opencv_superres342d.lib opencv_surface_matching342d.lib opencv_text342d.lib opencv_tracking342d.lib opencv_video342d.lib opencv_videoio342d.lib opencv_videostab342d.lib opencv_xfeatures2d342d.lib opencv_ximgproc342d.lib opencv_xobjdetect342d.lib opencv_xphoto342d.lib OpenCV342_release: opencv_aruco342.lib opencv_bgsegm342.lib opencv_bioinspired342.lib opencv_calib3d342.lib opencv_ccalib342.lib opencv_core342.lib opencv_datasets342.lib opencv_dnn342.lib opencv_dnn_objdetect342.lib opencv_dpm342.lib opencv_face342.lib opencv_features2d342.lib opencv_flann342.lib opencv_fuzzy342.lib opencv_hfs342.lib opencv_highgui342.lib opencv_imgcodecs342.lib opencv_imgproc342.lib opencv_img_hash342.lib opencv_line_descriptor342.lib opencv_ml342.lib opencv_objdetect342.lib opencv_optflow342.lib opencv_phase_unwrapping342.lib opencv_photo342.lib opencv_plot342.lib opencv_reg342.lib opencv_rgbd342.lib opencv_saliency342.lib opencv_shape342.lib opencv_stereo342.lib opencv_stitching342.lib opencv_structured_light342.lib opencv_superres342.lib opencv_surface_matching342.lib opencv_text342.lib opencv_tracking342.lib opencv_video342.lib opencv_videoio342.lib opencv_videostab342.lib opencv_xfeatures2d342.lib opencv_ximgproc342.lib opencv_xobjdetect342.lib opencv_xphoto342.lib
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