本文记录了基于Ubuntu Desktop 16.04 安装opencv 3.1.0的过程。
- 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
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
1)解压下载的opencv源码包opencv-3.1.0.zip
unzip opencv-3.1.0.zip
2)创建release目录
在opencv-3.1.0目录下创建release目录(mkdir release)
3)编译opencv
在opencv-3.1.0目录下创建release目录(mkdir release)
4)配置opencv
在release目录下执行如下命令:
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
5)编译
在release目录下执行如下命令:
make
6)安装
在release目录下执行如下命令:
sudo make install
简单读取一张图片并显示:
1)主程序
#include <opencv2/highgui.hpp> #include <opencv2/imgproc.hpp> using namespace cv; int main( int argc, char** argv ) { if( argc != 2 ) { printf( "command error\n " ); return -1; } char* imagefile = argv[1]; Mat image; image = imread( imagefile, 1 ); if( !image.data) { printf( "No image found\n " ); return -1; } namedWindow( imagefile, CV_WINDOW_AUTOSIZE ); imshow( imagefile, image ); waitKey(0); return 0; }
2)CMakeLists.txt
cmake_minimum_required(VERSION 2.8) project(test) add_executable(test test.cpp) find_package(OpenCV REQUIRED) target_link_libraries(test ${OpenCV_LIBS})
./test ../../test.JPG