clion opencv安装_Window系统上配置Clion编写OpenCV

clion配置c++编译器

我们编写的opencv程序需要使用编译器进行编译，网上有些教程配置Cygwin或MinGW,

我这里有个比较简单的方法，直接使用VS安装好对应的编译器，

1.利用VS安装编译环境

在Visual Studio Professional 2017下选择修改后，选在对应的环境安装

2.配置clion编译器

2.1打开clion，点击右上角File->Setting，搜索Toolchains并选择Toolchains，然后选择Visual Studio

如果选择了x86就是32位编译器，后面配置cmake则会报错

```bash

-- OpenCV ARCH: x86

-- OpenCV RUNTIME: vc14

-- OpenCV STATIC: OFF

CMake Warning at D:/opencv/build/OpenCVConfig.cmake:156 (message):

Found OpenCV Windows Pack but it has no binaries compatible with your

configuration.

You should manually point CMake variable OpenCV_DIR to your build of OpenCV

library.

Call Stack (most recent call first):

CMakeLists.txt:8 (FIND_PACKAGE)

CMake Error at CMakeLists.txt:8 (FIND_PACKAGE):

Found package configuration file:

D:/opencv/build/OpenCVConfig.cmake

but it set OpenCV_FOUND to FALSE so package "OpenCV" is considered to be

NOT FOUND.

-- Configuring incomplete, errors occurred!

```

2.2 配置CMakeLists.txt文件

打开项目的中的CMakeLists.txt，添加配置

cmake_minimum_required(VERSION 3.13)

project(test_project)

set(CMAKE_CXX_STANDARD 11)

add_executable(test_project main.cpp)

set(OpenCV_DIR D:/opencv/build)

FIND_PACKAGE(OpenCV REQUIRED)

target_link_libraries(test_project ${OpenCV_LIBS})

1.OpenCV_DIR后对应自己的opencv目录下build，我的opencv安装在D判断所以对应的是D:/opencv/build

2.test_project为项目的名称，可以对应修改

测试

测试代码：

#include

#include

#include

using namespace cv;

int main() {

Mat mat=cv::imread("C:\\Users\\hiho\\Desktop\\test.jpg");

imshow("test",mat);

waitKey(0);

return 0;

}

可以直接run编译运行对应的项目

运行结果：

—End—

迭代

2019年01月12日 19：58 初稿

参考