ubuntu下卸载opencv
在ubuntu下删除opencv的步骤如下：
1）进入opencv的源代码文件夹下的release（这是你在安装opencv时候自己命名的，cmake时候所在的目录）
2）依次执行下面的代码
make uninstall
cd ..
sudo rm -r release
sudo rm -r /usr/local/include/opencv2 /usr/local/include/opencv /usr/include/opencv /usr/include/opencv2 /usr/local/share/opencv /usr/local/share/OpenCV /usr/share/opencv /usr/share/OpenCV /usr/local/bin/opencv* /usr/local/lib/libopencv
ubuntu卸载opencv并重装opencv3.0.0
一、 卸载opencv2.4.9： Going to the "build" folder directory of opencv from terminal, and execute the following：
1. $ sudo make uninstall
2. $ cd ..
3. $ sudo rm -r build
4. $ sudo rm -r /usr/local/include/opencv2 /usr/local/include/opencv /usr/include/opencv /usr/include/opencv2 /usr/local/share/opencv /usr/local/share/OpenCV /usr/share/opencv /usr/share/OpenCV /usr/local/bin/opencv* /usr/local/lib/libopencv*
这一步可能有error
下面执行如下操作：
5. sudo apt-get –purge remove opencv-doc opencv-data python-opencv
二、 安装opencv，去CSDN下载opencv3.0.0和ippicv_linux_20141027.tgz（http://download.csdn.net/detail/yunlong782/8940743）。
install essential packages
[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
使用cmake-gui安装，首先安装cmake和cmake-qt-gui
1. $ sudo apt-get install cmake cmake-qt-gui
2. 解压opencv3.0.0，并进入目录，建立build目录并进去build目录打开终端，并输入：$ cmake-gui
3. 在source 目录里添加：文件目录如（../../../opencv-3.0.0.0-beta），在build目录添加build目录（如：../../../opencv-3.0.0.0-beta/build）,在CUDA_GENERATION 选择Kepler（我的显卡型号：gtx 980m）
4. configure，此时会处错误，原因是由于ippicv_linux_20141027.tgz不正确。把下载好的ippicv_linux_20141027.tgz替换掉出错路径下的ippicv_linux_20141027.tgz即可。重新configure
5. generate
6. 进入build目录 $ make -j8
7.在build目录下 $ sudo make install
8. 写入opencv路径：sudo sh -c 'echo "usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
9. sudo ldconfig
三、测试opencv是否装好
1.创建工作目录
$ mkdir ~/opencv-lena
$ cd ~/opencv-lena
$ gedit DisplayImage.cpp
2. 编译如下代码
#include
#include using namespace cv; int main(int argc, char** argv ) { if ( argc != 2 ) { printf("usage: DisplayImage.out \n"); return -1; } Mat image; image = imread( argv[1], 1 ); if ( !image.data ) { printf("No image data \n"); return -1; } namedWindow("Display Image", WINDOW_AUTOSIZE ); imshow("Display Image", image); waitKey(0); return 0; } 3. 创建CMake文件
$ gedit CMakeLists.txt
写入如下内容
cmake_minimum_required(VERSION 2.8)
project( DisplayImage )
find_package( OpenCV REQUIRED )
add_executable( DisplayImage DisplayImage.cpp )
target_link_libraries( DisplayImage ${OpenCV_LIBS} ) 4. 编译
$ cd ~/opencv-lena
$ cmake .
$ make
5. 执行
此时opencv-lena文件夹中已经产生了可执行文件DisplayImage，下载lena.jpg放在opencv-lena下，运行
$ ./DisplayImage lena.jpg
6. 结果
ubuntu下opencv2.4.9和opencv3.1.0的共存
转载：ubuntu下opencv2.4.9和opencv3.1.0的共存
关于opencv3.1.0和opencv2.4.9的共存问题其实并不是什么大的问题，因此网上资料比较少。本人也是因为在安装Ros Indigo时必须得配合opencv2.4.9使用，与之前的opencv3.1.0版本不太兼容，因此不得不进行双版本的使用，至于安装
opencv3.1.0安装
去官网上下载源码http://opencv.org/releases.html
然后 用终端进入源码的目录 输入
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local/opencv-3.1.0 ..
make
sudo make install
opencv2.4.9安装
去官网上下载源码http://opencv.org/releases.html
然后 用终端进入源码的目录 输入
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local/opencv-2.4.9 ..
make
sudo make install
这就算双版本的opencv安装完成了，下边说明一下调用方法与之前直接安装有一些不一样，下面距离说明，直接献上测试代码：
用opencv3.1.0
cmake 工程：
cmake_minimum_required(VERSION 2.8)
set(OpenCV_DIR "/usr/local/opencv-3.1.0/share/OpenCV")
include_directories("/usr/local/opencv-3.1.0/include")
project(test)
find_package(OpenCV 3.1.0 REQUIRED)
add_executable(test test.cpp)
target_link_libraries(test ${OpenCV_LIBS})
用opencv2.4.9
cmake 工程：
cmake_minimum_required(VERSION 2.8)
set(OpenCV_DIR "/usr/local/opencv-2.4.9/share/OpenCV")
include_directories("/usr/local/opencv-2.4.9/include")
project(test)
find_package(OpenCV 2.4.9 REQUIRED)
add_executable(test test.cpp)
target_link_libraries(test ${OpenCV_LIBS})
这次就算完成了，尽情使用吧！
