Visual Studio 2017的opencv3.3环境的配置
2017-11-08 15:22
676 查看
首先在磁盘中建立文件包,名称为
然后通过cmake软件生成opencv的解决方案,之后会自行启动VS;
其次在Debug和Release模式下分别点击
最后把
创建新的工程:
1. 打开工程属性页
2. 在VC++目录页面中:(Debug和Release下相同)
在包含目录中加入如下路径:
E:\opencv\opencv-3.3.0_VS2017_x64\install\include
E:\opencv\opencv-3.3.0_VS2017_x64\install\include\opencv
E:\opencv\opencv-3.3.0_VS2017_x64\install\include\opencv2
在库目录中加入如下路径:
E:\opencv\opencv-3.3.0_VS2017_x64\install\x64\vc15\lib
3. 在链接器\输入页面中:
在附加依赖项中加入:(Debug)
opencv_calib3d330d.lib
opencv_core330d.lib
opencv_dnn330d.lib
opencv_features2d330d.lib
opencv_flann330d.lib
opencv_highgui330d.lib
opencv_imgcodecs330d.lib
opencv_imgproc330d.lib
opencv_ml330d.lib
opencv_objdetect330d.lib
opencv_photo330d.lib
opencv_shape330d.lib
opencv_stitching330d.lib
opencv_superres330d.lib
opencv_video330d.lib
opencv_videoio330d.lib
在附加依赖项中加入:(Release)
opencv_calib3d330.lib
opencv_core330.lib
opencv_dnn330.lib
opencv_features2d330.lib
opencv_flann330.lib
opencv_highgui330.lib
opencv_imgcodecs330.lib
opencv_imgproc330.lib
opencv_ml330.lib
opencv_objdetect330.lib
opencv_photo330.lib
opencv_shape330.lib
opencv_stitching330.lib
opencv_superres330.lib
opencv_video330.lib
opencv_videoio330.lib
opencv_videostab330.lib
opencv-3.3.0_VS2017_*64;
然后通过cmake软件生成opencv的解决方案,之后会自行启动VS;
其次在Debug和Release模式下分别点击
ALL-BUILD -> 生成 -> INSTALL -> 生成;
最后把
/opencv-3.3.0_VS2017_*64/bin添加到系统环境变量中。
创建新的工程:
1. 打开工程属性页
2. 在VC++目录页面中:(Debug和Release下相同)
在包含目录中加入如下路径:
E:\opencv\opencv-3.3.0_VS2017_x64\install\include
E:\opencv\opencv-3.3.0_VS2017_x64\install\include\opencv
E:\opencv\opencv-3.3.0_VS2017_x64\install\include\opencv2
在库目录中加入如下路径:
E:\opencv\opencv-3.3.0_VS2017_x64\install\x64\vc15\lib
3. 在链接器\输入页面中:
在附加依赖项中加入:(Debug)
opencv_calib3d330d.lib
opencv_core330d.lib
opencv_dnn330d.lib
opencv_features2d330d.lib
opencv_flann330d.lib
opencv_highgui330d.lib
opencv_imgcodecs330d.lib
opencv_imgproc330d.lib
opencv_ml330d.lib
opencv_objdetect330d.lib
opencv_photo330d.lib
opencv_shape330d.lib
opencv_stitching330d.lib
opencv_superres330d.lib
opencv_video330d.lib
opencv_videoio330d.lib
在附加依赖项中加入:(Release)
opencv_calib3d330.lib
opencv_core330.lib
opencv_dnn330.lib
opencv_features2d330.lib
opencv_flann330.lib
opencv_highgui330.lib
opencv_imgcodecs330.lib
opencv_imgproc330.lib
opencv_ml330.lib
opencv_objdetect330.lib
opencv_photo330.lib
opencv_shape330.lib
opencv_stitching330.lib
opencv_superres330.lib
opencv_video330.lib
opencv_videoio330.lib
opencv_videostab330.lib
相关文章推荐
- OpenCV 3.3使用CMake 3.9.2和Visual Studio 2017配置win7 32位系统的开发环境
- Visual Studio 2017 配置OpenCV 3.3教程
- opencv 3.0 + visual studio 2017 机器视觉开发环境配置
- visual studio 2017 配置 opencv 3.2 开发环境
- OpenCV3.3 VS2017环境配置
- win10 64位 vs2015 + openCV 3.3配置开发环境
- OpenCV3.3 + Python3.6 开发环境配置
- Ubuntu下caffe+CUDA8.0+OpenCv3.3+Python2.7环境配置
- OpenCV环境配置Visual Studio 2010、2012、2013、2015
- Windows10下 opencv2.4.9+dlib19.7+Visual Studio 2017 配置教程
- 从零开始 OpenCV (一) —— 环境配置(OpenCV 3.3.1 + VS 2017)
- Windows下OpenCV3.3 + Python3.6 开发环境配置
- Visual Studio下OpenCV最完美的环境配置方法
- Visual Studio 2015 配置OpenCV3.3
- win7 Visual Studio 2010 配置opencv 2.4.5 开发环境
- Visual Studio 2015配置opencv开发环境
- OpenCV2.4.9 & Visual Studio 2010 环境配置篇
- OpenCV2.4.9 官方预编译版本+Visual Studio 2013+win8.1 x64 环境 配置记录
- 基于visual studio 2013与opencv的环境配置
- opencv学习(一)之VS2017环境配置