1. 先从sourceforge上下载OpenCV的源码
- http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.0/
2. 解压到任意目录
- tar xvfj OpenCV-2.4.3.tar.bz2
3. 进入源码目录,创建release目录
- cd OpenCV-2.4.3
- mkdir release
4. 可以看到在OpenCV目录下,有个CMakeLists.txt文件,需要事先安装一些软件
- sudo apt-get install build-essential cmake libgtk2.0-dev pkg-config python-dev python-numpy libavcodec-dev libavformat-dev libswscale-dev
5. 进入release目录,安装OpenCV是所有的文件都会被放到这个release目录下
- cd release
6. cmake编译OpenCV源码,安装所有的lib文件都会被安装到/usr/local目录下
- cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
7. 安装
- sudo make install
8. 测试,在某个目录下建立一个DisplayImage.cpp文件
- #include
- #include
- using namespace cv;
- int main(int argc, char* argv[])
- {
- Mat image;
- image = imread(argv[1], 1);
- if (argc != 2 || !image.data)
- {
- printf("No image data\n");
- return -1;
- }
- namedWindow("Display Image", CV_WINDOW_AUTOSIZE);
- imshow("Display Image", image);
- waitKey(0);
- return 0;
- }
9. 从网上下那个著名的lena.jpg放在cpp目录下
10. 写一个cmake的makefile,也叫CMakeLists.txt
- project(DisplayImage)
- find_package(OpenCV REQUIRED)
- add_executable(DisplayImage DisplayImage)
- target_link_libraries(DisplayImage ${OpenCV_LIBS})
- cmake_minimum_required(VERSION 2.8)
11. 编译+运行
- cmake .
- make
- ./DisplayImage lena.jpg
12. 完成