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