原文地址:http://blog.csdn.net/codeforces_sphinx/article/details/8246546
1. 先从sourceforge上下载OpenCV的源码
2. 解压到任意目录
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tar xvfj OpenCV-2.4.3.tar.bz2
3. 进入源码目录,创建release目录
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cd OpenCV-2.4.3
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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
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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
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
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cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
7. 安装
8. 测试,在某个目录下建立一个DisplayImage.cpp文件
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#include
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#include
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using namespace cv;
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int main(int argc, char* argv[])
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{
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Mat image;
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image = imread(argv[1], 1);
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if (argc != 2 || !image.data)
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{
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printf("No image data\n");
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return -1;
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}
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namedWindow("Display Image", CV_WINDOW_AUTOSIZE);
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imshow("Display Image", image);
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waitKey(0);
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return 0;
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}
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
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project(DisplayImage)
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find_package(OpenCV REQUIRED)
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add_executable(DisplayImage DisplayImage)
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target_link_libraries(DisplayImage ${OpenCV_LIBS})
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cmake_minimum_required(VERSION 2.8)
11. 编译+运行
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cmake .
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make
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./DisplayImage lena.jpg
12. 完成
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