OpenCV3.4.x版本+Opencv_contrib+Ubuntu16.04安装记录_libv4l2安装

前言

  Opencv发展至今，已经到了4.0版本稳定版的出现，但是项目上，很多人还是估计喜欢3版本，4.0版本才刚刚出来，而且相应的学习书籍还没出现，所以本人还是喜欢用3版本的opencv，而且因为多台电脑开发，所以有时候opencv需要多装许多次，而且遇到的坑也多，故而记录一下，怕以后忘记了，又各种查官方的文档。
  有一个opencv的安装指南，在官网中找到的。感觉还不错，也是ubuntu16.04的，不过配置繁多，烟花缭乱，而且综合自己以前编译成功时的安装项，然后两者结合产生了本文，不需要像对方一样，这么的多，而且本人也不是需要安装太多，里面有部分大家看了博文，如果觉得有需要安装则安装。
  下面是按照步骤一步步说明怎么安装，并且还有代码进行测试，另外如果不想看这么多的文字内容，直接想复制粘贴进行命令行安装，则查看命令总结部分。

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安装过程

  博主在其中安装的过程，采用的安装样例，是3.4.1和其对应的opencv扩展版本，其实个人认为，对于其他opencv3.4版本二者安装过程其实是一样的。
  你需要下载opencv3.4.1和opencv_contrib 3.4.1，然后对其解压，这些基础命令和操作则不概述。
  将安装包解压到某一自己指定的目录，记为{Opencv_Origin_Dir}，目前我指定的目录解压到了，/home/tanqiwei/Documents/environment，所以{Opencv_Origin_Dir}对应就是/home/tanqiwei/Documents/environment/opencv-3.4.1

tanqiwei@ubuntu:~/Documents/environment$ pwd
/home/tanqiwei/Documents/environment
tanqiwei@ubuntu:~/Documents/environment$ ls
opencv-3.4.1         opencv_contrib-3.4.1
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安装前的必备包

  这些安装不算十分完全，我只安装自己够用就成的某些包。
  安装一些必要的库，还有cmake,git,g++。

sudo apt-get install build-essential 
sudo apt-get install cmake git g++
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安装依赖包

  安装一些依赖包。

sudo apt-get install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev libv4l-dev liblapacke-dev
sudo apt-get install checkinstall yasm libxine2-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libfaac-dev libmp3lame-dev libtheora-dev
sudo apt-get install libopencore-amrnb-dev libopencore-amrwb-dev libavresample-dev x264 v4l-utils
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处理图像所需的包

sudo apt-get install libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev 
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处理视频所需包

sudo apt-get install libxvidcore-dev libx264-dev ffmpeg
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opencv功能优化

sudo apt-get install libatlas-base-dev gfortran 
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部分依赖包

sudo apt-get install libopencv-dev  libqt4-dev qt4-qmake libqglviewer-dev libsuitesparse-dev libcxsparse3.1.4 libcholmod3.0.6 
sudo apt-get install python-dev python-numpy
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可选依赖

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
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编译和安装

  进入OpenCV的源码解压目录，{Opencv_Origin_Dir}，我的是/home/tanqiwei/Documents/environment/opencv-3.4.1
  我的opencv_contrib目录和其同级，/home/tanqiwei/Documents/environment/opencv_contrib-3.4.1均在/home/tanqiwei/Documents/environment下然后在{Opencv_Origin_Dir}下运行

mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-3.4.1/modules -D PYTHON_EXECUTABLE=/usr/bin/python3.5 -D BUILD_EXAMPLES=ON .. 
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  这里面过多参数都是属于cmake的范畴，我这里不去描述，大概就是表示opencv应该安装在哪里，扩展包在何处，需要开启什么功能。

  其实编译过程中会发现，自行下载IPPICV，tiny-dnn等等。

IPPICV是个链接的免费子库，如果想要禁用IPP加速，CMake的时候，加上-D WITH_IPP=OFF。

  其实很多可能可选的从cmake的编译输出看来我们并没有安装,比如java，VTK等等，看下面这种类型的输出就知道了，到时候你只需要对应安装，然后修改CMake编译命令，一般来说，opencv编译过程中，自发也会去寻找这些东西。

-- Checking for module 'gstreamer-base-1.0'
--   No package 'gstreamer-base-1.0' found
-- Checking for module 'gstreamer-video-1.0'
--   No package 'gstreamer-video-1.0' found
-- Checking for module 'gstreamer-app-1.0'
--   No package 'gstreamer-app-1.0' found
-- Checking for module 'gstreamer-riff-1.0'
--   No package 'gstreamer-riff-1.0' found
-- Checking for module 'gstreamer-pbutils-1.0'
--   No package 'gstreamer-pbutils-1.0' found


-- Could NOT find JNI (missing:  JAVA_AWT_LIBRARY JAVA_JVM_LIBRARY JAVA_INCLUDE_PATH JAVA_INCLUDE_PATH2 JAVA_AWT_INCLUDE_PATH) 
-- Could NOT find Pylint (missing:  PYLINT_EXECUTABLE) 
-- Could NOT find Matlab (missing:  MATLAB_MEX_SCRIPT MATLAB_INCLUDE_DIRS MATLAB_ROOT_DIR MATLAB_LIBRARIES MATLAB_LIBRARY_DIRS MATLAB_MEXEXT MATLAB_ARCH MATLAB_BIN) 
-- VTK is not found. Please set -DVTK_DIR in CMake to VTK build directory, or to VTK install subdirectory with VTKConfig.cmake file

-- No preference for use of exported gflags CMake configuration set, and no hints for include/library directories provided. Defaulting to preferring an installed/exported gflags CMake configuration if available.
-- Failed to find installed gflags CMake configuration, searching for gflags build directories exported with CMake.
-- Failed to find gflags - Failed to find an installed/exported CMake configuration for gflags, will perform search for installed gflags components.

-- CERES support is disabled. Ceres Solver for reconstruction API is required.
-- Module opencv_ovis disabled because OGRE3D was not found
-- Caffe:   NO
-- Protobuf:   NO

-- Checking for modules 'tesseract;lept'
--   No package 'tesseract' found
--   No package 'lept' found
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  最后会列出其编译后的模块列表。

--   OpenCV modules:
--     To be built:                 aruco bgsegm bioinspired calib3d ccalib core cvv datasets dnn dnn_objdetect dpm face features2d flann freetype fuzzy hdf hfs highgui img_hash imgcodecs imgproc java_bindings_generator line_descriptor ml objdetect optflow phase_unwrapping photo plot python_bindings_generator reg rgbd saliency sfm shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab xfeatures2d ximgproc xobjdetect xphoto
--     Disabled:                    js world
--     Disabled by dependency:      -
--     Unavailable:                 cnn_3dobj cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev dnn_modern java matlab ovis python2 python3 viz
--     Applications:                tests perf_tests examples apps
--     Documentation:               NO
--     Non-free algorithms:         NO
-- 
--   GUI: 
--     QT:                          YES (ver 5.5.1)
--       QT OpenGL support:         YES (Qt5::OpenGL 5.5.1)
--     GTK+:                        NO
--     OpenGL support:              YES (/usr/lib/x86_64-linux-gnu/libGLU.so /usr/lib/x86_64-linux-gnu/libGL.so)
--     VTK support:                 NO
-- 
--   Media I/O: 
--     ZLib:                        /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.8)
--     JPEG:                        /usr/lib/x86_64-linux-gnu/libjpeg.so (ver )
--     WEBP:                        build (ver encoder: 0x020e)
--     PNG:                         /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.2.54)
--     TIFF:                        /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 / 4.0.6)
--     JPEG 2000:                   /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)
--     OpenEXR:                     /usr/lib/x86_64-linux-gnu/libImath.so /usr/lib/x86_64-linux-gnu/libIlmImf.so /usr/lib/x86_64-linux-gnu/libIex.so /usr/lib/x86_64-linux-gnu/libHalf.so /usr/lib/x86_64-linux-gnu/libIlmThread.so (ver 2.2.0)
-- 
--   Video I/O:
--     DC1394:                      YES (ver 2.2.4)
--     FFMPEG:                      YES
--       avcodec:                   YES (ver 56.60.100)
--       avformat:                  YES (ver 56.40.101)
--       avutil:                    YES (ver 54.31.100)
--       swscale:                   YES (ver 3.1.101)
--       avresample:                YES (ver 2.1.0)
--     GStreamer:                   
--       base:                      YES (ver 0.10.36)
--       video:                     YES (ver 0.10.36)
--       app:                       YES (ver 0.10.36)
--       riff:                      YES (ver 0.10.36)
--       pbutils:                   YES (ver 0.10.36)
--     libv4l/libv4l2:              NO
--     v4l/v4l2:                    linux/videodev2.h
--     gPhoto2:                     YES
-- 
--   Parallel framework:            TBB (ver 4.4 interface 9002)
-- 
--   Trace:                         YES (with Intel ITT)
-- 
--   Other third-party libraries:
--     Intel IPP:                   2017.0.3 [2017.0.3]
--            at:                   /home/tanqiwei/Documents/environment/opencv-3.4.1/build/3rdparty/ippicv/ippicv_lnx
--     Intel IPP IW:                sources (2017.0.3)
--               at:                /home/tanqiwei/Documents/environment/opencv-3.4.1/build/3rdparty/ippicv/ippiw_lnx
--     Lapack:                      YES (/usr/lib/liblapack.so /usr/lib/libcblas.so /usr/lib/libatlas.so)
--     Eigen:                       YES (ver 3.2.92)
--     Custom HAL:                  NO
--     Protobuf:                    build (3.5.1)
-- 
--   NVIDIA CUDA:                   NO
-- 
--   OpenCL:                        YES (no extra features)
--     Include path:                /home/tanqiwei/Documents/environment/opencv-3.4.1/3rdparty/include/opencl/1.2
--     Link libraries:              Dynamic load
-- 
--   Python (for build):            /usr/bin/python3
-- 
--   Java:                          
--     ant:                         NO
--     JNI:                         NO
--     Java wrappers:               NO
--     Java tests:                  NO
-- 
--   Matlab:                        NO
-- 
--   Install to:                    /usr/local
-- -----------------------------------------------------------------
-- 
-- Configuring done
-- Generating done
-- Build files have been written to: /home/tanqiwei/Documents/environment/opencv-3.4.1/build
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  我们可以发现，我们编译已经成功，可以进行下一步，即make，但是值得注意的是，如果用多核make可能会报错，为了保险起见，我还是原始的make命令，不加-j。

make
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  然后安装。

sudo make install
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  最后最好开启重启一次，本人曾安装过后，虚拟机重启直接奔溃，无法进入系统内部，主要原因不太清楚，但是进入到了某种图形模式，说是图形模式损坏，之后只好从备份的快照中恢复，当然也有当时可能装少了部分必要依赖项的可能性也说不定，建议安装的机器内存要大一点，4GB为一般，6GB不错，8GB很好。

运行测试

  我们运行例子进行测试。你可以选择任意例子，这里我选择在我的github的opencv例子进行测试。

git clone https://github.com/tanqiwei/myOpencvStudyCode.git
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  大概几M的内容，然后进入myOpencvStudyCode/LearningOpencv3/chapter2/example2.1
  接着按下面命令

mkdir build
cd build
cmake ..
make
./example2_1 ../data/test.jpg
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  你可以发现运行成功，故而咱们安装顺利。会发现显示图片窗口，按ESC键退出。
重启后，发现还能开启，说明虚拟机的16.04的系统安装就成功了。

安装过程命令总结

# 安装及下载，该操作不解释，都放在一个统一目录下
# 我的是/home/tanqiwei/Documents/environment
# 也就是在environment文件夹里有opencv-3.4.1和opencv_contrib-3.4.1两个文件夹

# 安装必备库，cmake,git,g++
sudo apt-get install build-essential 
sudo apt-get install cmake git g++
# 安装依赖项
sudo apt-get install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev libv4l-dev liblapacke-dev
sudo apt-get install checkinstall yasm libxine2-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libfaac-dev libmp3lame-dev libtheora-dev
sudo apt-get install libopencore-amrnb-dev libopencore-amrwb-dev libavresample-dev x264 v4l-utils
# 处理图像所需的包
sudo apt-get install libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev 
# 处理视频所需的包
sudo apt-get install libxvidcore-dev libx264-dev ffmpeg
# opencv功能优化
sudo apt-get install libatlas-base-dev gfortran 
# 某些依赖包
sudo apt-get install libopencv-dev  libqt4-dev qt4-qmake libqglviewer-dev libsuitesparse-dev libcxsparse3.1.4 libcholmod3.0.6 
sudo apt-get install python-dev python-numpy
# 可选依赖项
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

# 进入opencv源码目录，注意opencv和opencv_contrib同级，
# 即都属于同一个主目录下，我的目录为/home/tanqiwei/Documents/environment，
# 下面有opencv-3.4.1和opencv_contrib-3.4.1


mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-3.4.1/modules -D PYTHON_EXECUTABLE=/usr/bin/python3.5 -D BUILD_EXAMPLES=ON .. 
make
sudo make install

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