Ubuntu16.04下编译安装Opencv3.4并测试

因项目需求，需要将原本在windows下的工程移植到Linux平台下，需要在Linux下重新编译安装Opencv。

本文主要参考Opencv官方的安装教程https://docs.opencv.org/3.4.0/d7/d9f/tutorial_linux_install.html

1、安装依赖库

#通过以下命令安装依赖库
[compiler] sudo apt-get install build-essential
[required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
[optional] sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

其中compiler为必要的编译器，required为必选依赖，optional为可选项。

2、下载源码

进入官网https://opencv.org/releases/下载Opencv3.4，选择sources并解压

3、编译安装opencv

进入解压后的文件夹，创建build文件夹

cd ~/opencv
mkdir build
cd build

编译安装

cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j7 # runs 7 jobs in parallel
sudo make install

4、测试opencv是否安装成功

参考博客https://blog.csdn.net/qq_33431368/article/details/84754421

创建opencv-demo文件夹

mkdir opencv-demo
cd opencv-demo

创建DisplayImage.cpp和CMakeLists.txt

gedit DisplayImage.cpp
gedit CMakeLists.txt

DisplayImage.cpp代码如下

#include <stdio.h>
#include <opencv2/opencv.hpp>
using namespace cv;

int main(int argc, char** argv)
{
    Mat image;
    image = imread(argv[1], 1);
    if (!image.data)
    {
        printf("No image data\n");
        return -1;
    }
    namedWindow("display", WINDOW_AUTOSIZE);
    imshow("display", image);
    waitKey(0);
    return 0;
}

CMakeList.txt代码如下：

cmake_minimum_required(VERSION 2.8)
project(DisplayImage)
find_package(OpenCV REQUIRED)
add_executable(DisplayImage DisplayImage.cpp)
target_link_libraries(DisplayImage ${OpenCV_LIBS})

编译执行程序

cmake .
make
./DisplayImage ouwen.jpeg

执行结果，成功显示图片