Ubuntu16.04安装opencv-3.4.2

我就是我 2021-12-15 16:34 276阅读 0赞

### 原文链接： ###

https://m.oldpan.me/archives/ubuntu-install-opencv-from-source

### 第一步：更新我们的系统 ###

sudo apt-get update
    sudo apt-get upgrade

### 第二步：安装所有依赖库 ###

# 首先我们先移除系统中已经存在的依赖，这一部必须要做
    sudo apt-get remove x264 libx264-dev
     
    # 然后安装我们需要的依赖
    sudo apt-get install build-essential checkinstall cmake pkg-config yasm
    sudo apt-get install git gfortran
    sudo apt-get install libjpeg8-dev libjasper-dev libpng12-dev
     
    # 下面根据版本选择安装 
    #  Ubuntu 14.04
    sudo apt-get install libtiff4-dev
    #  Ubuntu 16.04
    sudo apt-get install libtiff5-dev
     
    sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev
    sudo apt-get install libxine2-dev libv4l-dev
    sudo apt-get install libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev
    sudo apt-get install qt5-default libgtk2.0-dev libtbb-dev
    sudo apt-get install libatlas-base-dev
    sudo apt-get install libfaac-dev libmp3lame-dev libtheora-dev
    sudo apt-get install libvorbis-dev libxvidcore-dev
    sudo apt-get install libopencore-amrnb-dev libopencore-amrwb-dev
    sudo apt-get install x264 v4l-utils
    sudo apt-get install qt5-default
     
    # 可选安装
    sudo apt-get install libprotobuf-dev protobuf-compiler
    sudo apt-get install libgoogle-glog-dev libgflags-dev
    sudo apt-get install libgphoto2-dev libeigen3-dev libhdf5-dev doxygen

### 第三步：安装python依赖(可选) ###

sudo apt-get install python3-dev
    pip3 install numpy scipy matplotlib scikit-image scikit-learn ipython

### 第四步：下载opencv-3.4.2 ###

https://opencv.org/releases.html

### 第五步：安装opencv-3.4.2 ###

１）进入我们的`opencv`目录，创建一个`build`的文件夹并进入

cd opencv
    mkdir build
    cd build

２）cmake配置

cmake -D CMAKE_BUILD_TYPE=Release -D MAKE_INSTALL_PREFIX=/usr/local ..

３）等待漫长的编译过程

make

４）安装

sudo make install

５）环境配置添加库路径

sudo sh -c 'echo "/usr/local/lib" >> /etc/ld.so.conf.d/opencv.conf'

６）更新系统库

sudo ldconfig

７）配置bash

sudo vim /etc/bash.bashrc
    //在末尾添加
    PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
    export PKG_CONFIG_PATH

保存退出，然后执行如下命令使得配置生效

source /etc/bash.bashrc
    //激活配置然后更新database
    sudo updatedb

### 第六步：测试 ###

１）在home下新建文件夹进入并新建名称为opencv\_test.cpp

#include <iostream>
    #include <opencv2/opencv.hpp>
    
    using namespace cv;
    using namespace std;
    
    int main(int argc, char** argv)
    {
    
        if ( argc != 2 )
        {
            cout << "Need to load a picture..." << endl;
            return -1;
        }
        Mat image;
        image = imread( argv[1], 1 );
        if ( image.empty() )
        {
            cout<<"No image data!"<< endl;
            return -1;
        }
        namedWindow("Display Image", WINDOW_AUTOSIZE );
        imshow("Display Image", image);
        waitKey(0);
        return 0;
    }

２）建立一个CMakeLists.txt文件

cmake_minimum_required(VERSION 2.8)
    
    project( DisplayImage )
    
    find_package( OpenCV REQUIRED )
    
    add_executable( opencv_test opencv_test.cpp )
    
    target_link_libraries( opencv_test ${OpenCV_LIBS} )

３）在home目录中放一张测试的图片，例如test.jpg，分别执行

cmake .
    make
    ./opencv_test ~/test.jpg

图片显示成功！

在opencv\_test.cpp文件创建成功后，或可直接使用如下命令生成可执行程序

g++ `pkg-config opencv --cflags` opencv_test.cpp  -o opencv_test `pkg-config opencv --libs`

**注意：**这里是\` \`（Tab键上面的那个键），而不是单引号' '

### 卸载源码安装的opencv ###

在之前创建的build目录中执行

sudo make uninstall

如果卸载不干净，则执行下面的命令：

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*

### 在编译过程中可能遇到的问题 ###

Scanning dependencies of target opencv_cudafilters
    [ 45%] Building CXX object modules/cudafilters/CMakeFiles/opencv_cudafilters.dir/src/filtering.cpp.o
    cc1plus: warning: /home/prototype/Downloads/opencv-3.4.0/build/modules/cudafilters/precomp.hpp.gch/opencv_cudafilters_RELEASE.gch: not used because 'OPENCV_TRAITS_ENABLE_DEPRECATED' is defined [-Winvalid-pch]
    cc1plus: warning: /home/prototype/Downloads/opencv-3.4.0/build/modules/cudafilters/precomp.hpp.gch/opencv_cudafilters_Release.gch: not used because 'OPENCV_TRAITS_ENABLE_DEPRECATED' is defined [-Winvalid-pch]
    [ 45%] Linking CXX shared library ../../lib/libopencv_cudafilters.so
    [ 45%] Built target opencv_cudafilters
    Makefile:162: recipe for target 'all' failed
    make: *** [all] Error 2

遇到上面的问题，一般是之前OpenCV残留没有删除干净，删除干净重来即可。

转载于:https://www.cnblogs.com/SystemCall/p/10630063.html