ubuntu下opencv 3.0和python2.7安装测试

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>
");
        return -1;
    }
    Mat image;
    image = imread( argv[1], 1 );
    if ( !image.data )
    {
        printf("No image data 
");
        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