本文主要是介绍安装opencv2.4.13，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
opencv3：
http://blog.csdn.net/linj_m/article/details/45048905
下面是opencv2
Installation in Linux
These steps have been tested for Ubuntu 10.04 but should work with other distros as well.
Required Packages
- 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
The packages can be installed using a terminal and the following commands or by using Synaptic Manager:
[compiler] sudo apt-get install build-essential [required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev [optional] sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
Getting OpenCV Source Code
You can use the latest stable OpenCV version available in sourceforge or you can grab the latest snapshot from ourGit repository.
Getting the Latest Stable OpenCV Version
- Go to our page on Sourceforge;
- Download the source tarball and unpack it.
Getting the Cutting-edge OpenCV from the Git Repository
Launch Git client and clone OpenCV repository
In Linux it can be achieved with the following command in Terminal:
cd ~/<my_working _directory>
git clone https://github.com/opencv/opencv.git
Building OpenCV from Source Using CMake, Using the Command Line
-
Create a temporary directory, which we denote as <cmake_binary_dir>, where you want to put the generated Makefiles, project files as well the object files and output binaries.
-
Enter the <cmake_binary_dir> and type
cmake [<some optional parameters>] <path to the OpenCV source directory>
For example
cd ~/opencv mkdir release cd release cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
-
Enter the created temporary directory (<cmake_binary_dir>) and proceed with:
make sudo make install
Note
If the size of the created library is a critical issue (like in case of an Android build) you can use theinstall/strip command to get the smallest size as possible. Thestripped version appears to be twice as small. However, we do not recommend using this unless those extra megabytes do really matter.
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1. 先下载OpenCV的源码
2. 解压到任意目录
-
unzip opencv-2.4.13.zip
3. 进入源码目录，创建release目录
-
cd opencv-2.4.13
-
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test.cpp文件
#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;
}
9. 写一个cmake的makefile，也叫CMakeLists.txt
project(test)
find_package(OpenCV REQUIRED)
add_executable(test test)
target_link_libraries(test ${OpenCV_LIBS})
cmake_minimum_required(VERSION 2.8)
10. 编译+运行
-
cmake .
-
make
-
得到可执行文件test
11. 随便弄个jpg图片做个测试，注意要和上面那个可执行文件放在同一目录下面,我这里名字取的是test.jpg。
12. ./test test.jpg 如果能看到照片，那就表示成功了。
参考文献：
http://docs.opencv.org/2.4/doc/tutorials/introduction/table_of_content_introduction/table_of_content_introduction.html#table-of-content-introduction
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