环境准备（CentOS7）

::: warning 其中 ffmpeg ffmpeg-devel 为必要依赖如果出现 No package ‘gtk±3.0’ found 则需要检查gtk3-devel是否安装成功 :::

sudo yum -y install epel-release git gcc gcc-c++ cmake3 qt5-qtbase-devel python34 python34-devel python34-pip python python-devel python-pip python-devel numpy python34-numpy gtk2-devel gtk3-devel libpng-devel jasper-devel openexr-devel libwebp-devel libjpeg-turbo-devel freeglut-devel mesa-libGL mesa-libGL-devel libtiff-devel libdc1394-develtbb-devel eigen3-devel boost boost-thread boost-devel libv4l-devel gstreamer-plugins-base-devel
sudo rpm --import http://li.nux.ro/download/nux/RPM-GPG-KEY-nux.ro
sudo rpm -Uvh http://li.nux.ro/download/nux/dextop/el7/x86_64/nux-dextop-release-0-5.el7.nux.noarch.rpm
sudo yum -y install ffmpeg ffmpeg-devel

环境准备（ubuntu）

::: warning 其中 ffmpeg ffmpeg-devel 为必要依赖如果出现 No package ‘gtk±3.0’ found 则需要检查gtk3-devel是否安装成功 ::: ::: tip 仅有此条适用于Ubuntu16.04其他部分均基于Ubuntu18.04

sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev libgtk-3-dev libgtkglext1-dev libgstreamer1.0-dev libavresample-dev  libgphoto2-dev libopenblas-dev libatlas-dev doxygen libgstreamer-ocaml-dev libgstreamer-plugins-bad1.0-dev libgstreamer-plugins-base0.10-dev libgstreamer-plugins-base1.0-dev libgstreamer-plugins-good1.0-dev libgstreamer0.10-dev libgstreamer1.0-dev libgstreamermm-1.0-dev tesseract-ocr-dev liblept5 libleptonica-dev liblapacke-dev python3-numpy libv4l-dev python3-numpy python3-pip python-pip libprotobuf-dev libhdf5-dev libgflags-dev

::: 适用于Ubuntu18.04的环境依赖

sudo apt-get install -y build-essential git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev libgtk-3-dev libgtkglext1-dev libgstreamer1.0-dev libavresample-dev  libgphoto2-dev libopenblas-dev libatlas-base-dev doxygen libgstreamer-ocaml-dev libgstreamer-plugins-bad1.0-dev libgstreamer-plugins-base1.0-dev libgstreamer-plugins-good1.0-dev libgstreamer1.0-dev libgstreamermm-1.0-dev libtesseract-dev liblept5 libleptonica-dev liblapacke-dev libgstreamer-opencv1.0-0 libgstreamer-plugins-bad1.0-dev libgstreamer-plugins-base1.0-dev libgstreamer-plugins-good1.0-dev libgstreamerd-3-dev libgstreamermm-1.0-dev libv4l-dev libprotobuf-dev libhdf5-dev libgflags-dev python3-numpy cmake

源码获取(Git)

::: tip 使用git checkout master来获取master分支的源代码 ::: 使用命令获取

git clone https://github.com/opencv/opencv.git
cd opencv
git checkout master
cd ..
git clone https://github.com/opencv/opencv_contrib.git
cd opencv_contrib
git checkout master
cd ..

源码获取（离线）

::: tip 结合国内使用情况，已经将opencv以及opencv_contrib还有涉及的离线包（已经放置于openc/.cache内）.cache文件夹不可见[隐藏] ::: ==点此前往获取OpenCV_Offline包== 获取到安装包后，参考命令（建议将文件下载到 / 内）

unzip OpenCV_Offline.zip

即可获得opencv以及opencv_contrib文件夹

编译安装OpenCV

创建build

cd opencv/
mkdir build
cd build

使用cmake配置编译过程 ==常规编译==需要在build路径下执行

cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local  -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules/ -D WITH_TBB=OFF  -D WITH_CUDA=OFF -D BUILD_opencv_gpu=OFF -D BUILD_opencv_gpuarithm=OFF -D OPENCV_GENERATE_PKGCONFIG=ON ..

==生成静态库==需要在build路径下执行

cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local  -DBUILD_SHARED_LIBS=OFF -DBUILD_TESTS=OFF -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules/ -D WITH_TBB=OFF  -D WITH_CUDA=OFF -D BUILD_opencv_gpu=OFF -D BUILD_opencv_gpuarithm=OFF -D OPENCV_GENERATE_PKGCONFIG=ON ..

在cmake完成后，执行make和make install

==命令解析== make -j核心数

make -j$(nproc)
make install