Opencv学习笔记：搭建opencv2.4.9+openGL+QT5.6+vs2013

QT使用vs作编译器可以直接使用opencv，不需要cmake重新编译，花了一下午的时间来搭建环境。

资源下载地址如下：

1.VS2013:https://www.visualstudio.com/en-us/downloads/download-visual-studio-vs.aspx

2.qt-opensource-windows-x86-msvc2013-5.6.0:http://mirror.bit.edu.cn/qtproject/archive/qt/5.6/5.6.0/qt-opensource-windows-x86-msvc2013-5.6.0.exe（由于是64位系统开始安装的64位的QT但是编译会出现计算机类型错误，后来选择32位QT可以成功）

3.Opencv2.4.9:http://opencv.org/downloads.html

4.Glut:https://www.opengl.org/resources/libraries/glut/glutdlls37beta.zip

第一步：安装VS2013、QT5.6、Opencv2.4.9并配置环境变量

安装完毕后添加QT和Opencv的环境变量，如下所示：

G:\postgraduate\biyesheji\QT5.6\5.6\msvc2013\bin（根据自己的QT安装目录添加）

G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\bin（32位系统只添加X86即可，64位系统最好将x64的目录也加入环境变量）

【计算机】->【（右键）属性】->【高级系统设置】->【高级（标签）】->【环境变量】->“双击”系统变量中的PATH->在变量值里面添加相应的路径。如图：



配置完环境变量，将下载的Glut解压，得到五个文件glut.dll, glut32.dll, glut.lib, glut32.lib,glut.h）

（1）把glut.h复制到x:\Program Files\Microsoft\Visual Studio 10.0\VC\include\gl文件夹中,如果没有gl这个文件夹则可以自己新建一个。（x是你安装VS的盘符号）

（2）把解压得到的glut.lib和glut32.lib放到静态函数库所在文件夹（即与include并排的lib文件夹下）。

（3）把解压得到的glut.dll和glut32.dll放到操作系统目录下面的system32文件夹内。（64位系统为C:\Windows\SysWOW64）

（注：如在开发应用程序时用到OpenGL辅助库函数，则还需下载相应动态链接库，包含glaux.dll, glaux.lib, glaux.h，相应步骤同上）

即完成了VS+OpenGL的环境搭建

 

第二步：配置VS2013+Opencv2.4.9

新建win32控制台项目，修改项目属性，更改包含目录如下所示：

添加上

D:\Program Files\opencv\build\include

D:\Program Files\opencv\build\include\opencv

D:\Program Files\opencv\build\include\opencv2 这三个目录。

更改库目录：
添加上D:\Program Files\opencv\build\x86\vc10\lib这个路径。





链接库配置：






opencv_ml249d.lib

opencv_calib3d249d.lib

opencv_contrib249d.lib

opencv_core249d.lib

opencv_features2d249d.lib

opencv_flann249d.lib

opencv_gpu249d.lib

opencv_highgui249d.lib

opencv_imgproc249d.lib

opencv_legacy249d.lib

opencv_objdetect249d.lib

opencv_ts249d.lib

opencv_video249d.lib

opencv_nonfree249d.lib

opencv_ocl249d.lib

opencv_photo249d.lib

opencv_stitching249d.lib

opencv_superres249d.lib

opencv_videostab249d.lib

opengl32.lib

glut32.lib

glu32.lib

这里加入了三个OpenGl的库文件：opengl32.lib、glut32.lib、glu32.lib，这样就完成了VS2013+opencv+opengl的配置，关于opencv的配置可以参考浅墨大神的博客http://blog.csdn.net/poem_qianmo/article/details/19809337


第三步：配置QT和opencv

安装QT5.6后还需要安装dbg_amd64_6.12.2.633调试器
4000
，下载地址：http://www.codemachine.com/downloads.html选择Windows 7 Debugging Tools for Windows。

QT构建配置好后如下所示：






新建一个QT工程，在pro文件加入如下所示的库：

<span style="font-size:18px;">INCLUDEPATH+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\include \
G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\include\opencv \
G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\include\opencv2
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_ml249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_calib3d249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_contrib249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_core249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_features2d249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_flann249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_gpu249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_highgui249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_imgproc249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_legacy249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_objdetect249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_ts249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_video249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_nonfree249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_ocl249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_photo249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_stitching249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_superres249d.lib
LIBS+=G:\postgraduate\biyesheji\opencv2.4.9\opencv\build\x86\vc12\lib\opencv_videostab249d.lib</span>

在main.cpp里编写测试程序：

<span style="font-size:18px;">#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace std;
using namespace cv;
int main()
{
cout<<"opencv"<<endl;
Mat src=imread("G:/postgraduate/biyesheji/vs2013/opencv/1.jpg");  //在qt里面读取图片貌似只支持绝对路径
imshow("test",src);
waitKey(0);
return 0;
}</span>

测试结果如下：