OpenCV学习之编译OpenCV-优快云博客

本文链接：https://blog.youkuaiyun.com/tong5956/article/details/70837742

本文详细介绍如何在Ubuntu 16.04 32位系统中使用Qt 5.5.0集成OpenCV库，并提供了从下载到配置的具体步骤。通过本教程，读者可以学习如何设置开发环境并编写第一个Qt结合OpenCV的应用程序。

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操作系统： ubuntu16.04 32bit
Qt环境： Qt 5.5.0

1.下载opencv地址： https://github.com/opencv/opencv.git
2.下载一些类包及编译工具
安装编译工具 sudo apt-get install build-essential
安装依赖包 sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
安装可选包 sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
2.解压后，在当前目录下
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local .
make
sudo make install
3.在系统/etc/ld.so.conf.d下创建文件OpenCV.conf，向其中写入:
/usr/local/lib
ps:该路径为opencv install的路径，一般默认是/usr/local/lib
在终端执行命令：
sudo ldconfig
为什么要加上这一步？请参考文档：http://blog.youkuaiyun.com/lql0716/article/details/54434695
3.在Qt中创建一个项目，在pro文件中添加：

INCLUDEPATH += /usr/local/include /usr/local/include/opencv /usr/local/include/opencv2
LIBS += /usr/local/lib/libopencv_calib3d.so           /usr/local/lib/libopencv_objdetect.so \
/usr/local/lib/libopencv_calib3d.so.3.2       /usr/local/lib/libopencv_objdetect.so.3.2 \
/usr/local/lib/libopencv_calib3d.so.3.2.0     /usr/local/lib/libopencv_objdetect.so.3.2.0 \
/usr/local/lib/libopencv_core.so              /usr/local/lib/libopencv_photo.so \
/usr/local/lib/libopencv_core.so.3.2          /usr/local/lib/libopencv_photo.so.3.2 \
/usr/local/lib/libopencv_core.so.3.2.0        /usr/local/lib/libopencv_photo.so.3.2.0 \
/usr/local/lib/libopencv_features2d.so        /usr/local/lib/libopencv_shape.so \
/usr/local/lib/libopencv_features2d.so.3.2    /usr/local/lib/libopencv_shape.so.3.2 \
/usr/local/lib/libopencv_features2d.so.3.2.0  /usr/local/lib/libopencv_shape.so.3.2.0 \
/usr/local/lib/libopencv_flann.so             /usr/local/lib/libopencv_stitching.so \
/usr/local/lib/libopencv_flann.so.3.2         /usr/local/lib/libopencv_stitching.so.3.2 \
/usr/local/lib/libopencv_flann.so.3.2.0       /usr/local/lib/libopencv_stitching.so.3.2.0 \
/usr/local/lib/libopencv_highgui.so           /usr/local/lib/libopencv_superres.so \
/usr/local/lib/libopencv_highgui.so.3.2       /usr/local/lib/libopencv_superres.so.3.2 \
/usr/local/lib/libopencv_highgui.so.3.2.0     /usr/local/lib/libopencv_superres.so.3.2.0 \
/usr/local/lib/libopencv_imgcodecs.so         /usr/local/lib/libopencv_videoio.so \
/usr/local/lib/libopencv_imgcodecs.so.3.2     /usr/local/lib/libopencv_videoio.so.3.2 \
/usr/local/lib/libopencv_imgcodecs.so.3.2.0   /usr/local/lib/libopencv_videoio.so.3.2.0 \
/usr/local/lib/libopencv_imgproc.so           /usr/local/lib/libopencv_video.so \
/usr/local/lib/libopencv_imgproc.so.3.2       /usr/local/lib/libopencv_video.so.3.2 \
/usr/local/lib/libopencv_imgproc.so.3.2.0     /usr/local/lib/libopencv_video.so.3.2.0 \
/usr/local/lib/libopencv_ml.so                /usr/local/lib/libopencv_videostab.so \
/usr/local/lib/libopencv_ml.so.3.2            /usr/local/lib/libopencv_videostab.so.3.2 \
/usr/local/lib/libopencv_ml.so.3.2.0          /usr/local/lib/libopencv_videostab.so.3.2.0

开始编写第一个opencv程序：

#include <iostream>

using namespace std;
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace cv;
int main()
{
    Mat image;
    image = imread( "/home/fish/Pictures/cat.png");
    namedWindow( "cat" );
    imshow( "cat", image );
    waitKey(60000);
    return 0;
}