@H_502_1@
准备工作,安装环境
sudo apt-get install build-essential cmake libgtk2.0-dev pkg-config python-dev python-numpy libavcodec-dev libavformat-dev libswscale-dev
下载opencv源码
http://jaist.dl.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.9/opencv-2.4.9.zip
解压到home文件下目录
进入源码目录,创建release目录
进入release目录,该目录将安装opencv所有的文件
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(注意local后面有两个点)
安装
编译和运行,得到执行文件(注意是cmake 空格 点)
在test目录下放一张照片取名字为test1.jpg,打开shell,进入test目录
sudo apt-get install build-essential cmake libgtk2.0-dev pkg-config python-dev python-numpy libavcodec-dev libavformat-dev libswscale-dev
http://jaist.dl.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.9/opencv-2.4.9.zip
unzip opencv-2.4.9.zip
cd opencv-2.4.9
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
sudo make install
在home目录下新建测试test目录,在test目录下建立一个test.cpp
#include <cv.h>
#include <highgui.h>
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;
}
在test目录下新建CmakeLists.txt,写一个cmake的makefile
内容如下:
project(test)
find_package(OpenCV required)
add_executable(test test)
target_link_libraries(test ${OpenCV_LIBS})
cmake_minimum_required(VERSION 2.8)
cmake .
(cmake后面的点代表本目录)make
cd test
./test test1.jpg
结果显示