ubuntu下安装opencv过程
2016-04-22 14:23
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本文记录ubuntu下安装opencv过程,步骤来自 opencv官网
转载请说明 /article/5615726.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
http://sourceforge.net/projects/opencvlibrary/
或者github
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
写入如下内容
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
1、安装opencv所需的库(编译器、必须库、可选库)
转载请说明 /article/5615726.htmlGCC 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
![](http://img1.tuicool.com/3URbimn.jpg!web)
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