1、安装opencv所需的库（编译器、必须库、可选库）
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、从官网下载最新opencv源码（2.4以上）
http://sourceforge.net/projects/opencvlibrary/
3、编译opencv
opencv，解压
unzip opencv-3.0.0-rc1.zip
cd ~/opencv-3.0.0-rc1
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make
sudo make install
4、测试opencv
1) 创建工作目录
mkdir ~/opencv-test
cd ~/opencv-test
gedit DisplayImage.cpp
2) 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;
}
3) 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} )
4) 编译
cd ~/opencv-test
cmake .
make
5) 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-test下，运行
./DisplayImage test.jpg
6) 结果
5、安装python-opencv
可直接使用apt安装
sudo apt-get install python-opencv
sudo apt-get install python-numpy
测试:
打开python，import cv模块成功即可。
import cv