ubuntu14.04+opencv 3.0安装及测试

本文记录ubuntu下安装opencv过程，步骤来自 opencv官网

1、安装opencv所需的库（编译器、必须库、可选库）

转载请说明 http://www.cnblogs.com/llxrl/p/4471831.html

• GCC 4.4.x or later
• CMake 2.6 or higher
• Git
• GTK+2.x or higher, including headers (libgtk2.0-dev)
• pkg-config
• Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy)
• ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
• [optional] libtbb2 libtbb-dev
• [optional] libdc1394 2.x
• [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev, libdc1394-22-dev

1 [compiler] sudo apt-get install build-essential 2 [required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev 3 [optional] 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/

或者github

3、编译opencv

将opencv放至任意目录，解压

unzip opencv- 3.0. 0-rc1. zip

创建编译目录，编译

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-lena
cd ~/opencv-lena
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-lena
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-lena下，运行

./DisplayImage lena.jpg

6) 结果