ubuntu14.04 kylin版下Opencv3.1的安装

1、安装opencv所需的库（编译器、必须库、可选库）

详细参考了 http://www.cnblogs.com/llxrl/p/4471831.html，并根据3.1做了修改。

• 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

[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

2、从官网下载最新opencv源码（这里是3.1）

http://opencv.org/下载

或者github

3、编译opencv

将opencv放至任意目录，解压

unzip opencv-3.1.zip

创建编译目录，编译

cd ~/opencv-3.1mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
makesudo make install

然后记得将其加入环境变量，这样有些框架（caffe）在调用opencv库的时候，可以找到它们。
（1）在 /etc/ld.so.cong.d/文件夹下建立opencv.conf，里面加入以下语句：

/usr/local/lib

（2）将/etc/bash.bashrc中最后加入下面代码：

PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH

如下：

（3）将Opencv中的imgcodecs__c.h和一些动态库加入到相应位置：

然后链接它们。

$ sudo cp imgcodecs_c.h /usr/local/include
$ sudo cp libopencv_imgcodecs.so /usr/local/lib
$ sudo cp libopencv_imgcodecs.so.3.0/usr/local/lib
$ sudo cp libopencv_imgcodecs.so.3.0.0/usr/local/lib
$ sudo ln -sf /usr/local/lib/libopencv_imgcodecs.so.3.0.0/usr/local/lib/libopencv_imgcodecs.so.3.0
$ sudo ln -sf /usr/local/lib/libopencv_imgcodecs.so.3.0/usr/local/lib/libopencv_imgcodecs.so
$ sudo ldconfig -v

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: lena.out <Image_Path>
");
    return -1;
  }
  Mat image;
  image = imread( argv[1], 1 );
  if ( !image.data )
  {
    printf("No image 
");
    return -1;
  }
  namedWindow("lena", WINDOW_AUTOSIZE );
  imshow("lena", 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( lena)
find_package( OpenCV REQUIRED )
add_executable( lena lena.cpp )
target_link_libraries( lena ${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lena，下载lena.jpg放在opencv-lena下，运行

./lena lena.jpg

(6) 结果

来自为知笔记(Wiz)