Ubuntu16.04下opencv4.0+opencv_contrib4.0(nonfree)安装及配置

一. OpenCV 以及OpenCV_contrib的安装

1.下载并解压 OpenCV-4.0.0及OpenCV_contrib-4.0.0源码至同一个文件夹。
2.添加opencv所需要的依赖库

sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

3.因为之前安装过Opencv3.4，我们将OpenCV的prefix目录安装在/usr/local/opencv4.0.0，在终端进入至OpenCV-4.0.0,输入:

mkdir build && cd build
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local/opencv4.0.0 -D OPENCV_ENABLE_NONFREE=ON -D OPENCV_GENERATE_PKGCONFIG=ON -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.0.0/modules/ ..

4.当显示Configure Done后，输入:

sudo make -j8
sudo make install

如果因为c++11不支持，打开opencv目录下的CMakeLists.txt，在开头添加:

set(CMAKE_CXX_FLAGS "-std=c++11")

5.在命令行执行安装命令:

sudo make install

一. 接下来开始配置OpenCV的环境

1. 添加opencv的库路径。

在命令行输入:

sudo gedit /etc/ld.so.conf.d/opencv.conf

在opencv.conf中输入:

/usr/local/opencv4.0.0/lib

2. 添加pkg环境变量。
在命令行输入:

sudo gedit /etc/profile

然后在文本框末尾添加:

export PKG_CONFIG_PATH=/usr/local/opencv4.0.0/lib/pkgconfig:$PKG_CONFIG_PATH
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/opencv4.0.0/lib

命令行输入:

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source /etc/profile

3. 添加bash环境变量:

sudo gedit /etc/bash.bashrc

在文本末尾添加:

export PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/opencv4.0.0/lib/pkgconfig
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/opencv4.0.0/lib

命令行输入:

source /etc/bash.bashrc

4.更新系统缓存:

sudo ldconfig
sudo updatedb

5.查看opencv是否安装成功。
命令行输入

pkg-config --modversion opencv4 
pkg-config --cflags opencv4
pkg-config --libs opencv4

至此，带有nonfree的OpenCV4.0.0已经配置完成

如果cmake … 找不到opencv路径，在CMakeLists.txt文件中添加:

set (CMAKE_PREFIX_PATH "/usr/local/opencv4.0.0")

CMakeLists.txt样板:

cmake_minimum_required(VERSION 2.8)

project(opencvtest)
set (CMAKE_PREFIX_PATH "/usr/local/opencv4.0.0")

find_package( OpenCV REQUIRED )

add_executable( opencvtest opencvtest.cpp )

target_link_libraries( opencvtest ${OpenCV_LIBS} )