原文链接: https://blog.youkuaiyun.com/qq_33591712/article/details/83279982
1.安装OpenCV所需的库
sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
2.下载最新opencv源码
去官网下载opencv,在本教程中选用的时opencv3.2.0,其他版本的配置方法异曲同工。
下载链接http://opencv.org/releases.html,选择sources版本
将opencv-3.2.0.zip解压,然后进入该目录。
1 unzip opencv-3.2.0.zip
2 cd ~/opencv-3.2.0
3.编译opencv
cd ~/opencv-3.2.0
mkdir build
cd build
cmake …
make
#下一步要切换到root用户,因为要修改一些东西。
su
sudo make install
4、测试opencv(C++)
这时,已经可以通过C++使用opencv了。
- 创建工作目录
mkdir ~/opencv-lena
cd ~/opencv-lena
gedit DisplayImage.cpp
- 编辑如下代码
#include <stdio.h>
#include <opencv2/opencv.hpp>
using namespace cv;
int main(int argc, char** argv )
{
if ( argc != 2 )
{
printf("usage: DisplayImage.out <Image_Path>\n");
return -1;
}
Mat image;
image = imread( argv[1], 1 );
if ( !image.data )
{
printf("No image data \n");
return -1;
}
namedWindow("Display Image", WINDOW_AUTOSIZE );
imshow("Display Image", image);
waitKey(0);
return 0;
}
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- 创建CMake编译文件
gedit CMakeLists.txt
写入如下内容
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
cd ~/opencv-lena
cmake .
make
- 执行
此时opencv-lena文件夹中已经产生了可执行文件DisplayImage,下载lena.jpg放在opencv-lena下,运行
./DisplayImage lena.jpg