(转)OpenCV+Ubuntu18.04环境搭建
1. 首先更新相关的package:
1.sudo apt-get update
2.sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
编译OpenCV需要用到下面的一些package:
- GCC
- CMake
- GTK+2.x or higher
- pkg-config
- ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
2. 下载python
Ubuntu默认带了各个版本的python
3. 下载OpenCV的源码
OpenCV官网上有linux版本的源码包可以下载,不过最好是从git上下载,这样可以保证下载得到的是最新的代码:
1.wget -O opencv.zip https://github.com/Itseez/opencv/archive/3.2.0.zip
2.unzip opencv.zip
4. 编译安装
进入到OpenCV的文件夹中,创建一个build目录,进行编译:
1.cd opencv-3.2.0
2.mkdir build
3.cd build
4.cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
5.make
6.sudo make install
5. 测试OpenCV
输入命令如下:
1. mkdir opencv-test
2. cd opencv-test
3. gedit DisplayImage.cpp
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;
- }
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} )
编译
- cmake .
- make
执行
此时opencv-test文件夹中已经产生了可执行文件DisplayImage,随便从网上下载一张图片放在opencv-test文件夹下,此处下载了opencv.jpg,然后运行
./DisplayImage opencv.jpg
结果
6. 安装python-opencv
可直接使用apt安装
[plain] view plain copy
- sudo apt-get install python-opencv
- sudo apt-get install python-numpy
7. 测试是否安装成功