Opencv4.0 安装脚本

完整脚本下载

参数解析

我设置了 3 个参数:

• --cvversion: 指定 opencv 的待编译版本
• --pippkg: 由于我在公司 proxy 后面，不希望每次都下载，所以事先用 pip download 下载好，这里指定进去，如果不担心流量问题，可忽略
• --pre: 我把此脚本分两大部分，准备环境、编译。环境只需一次，编译可能多次，此参数是跳过准备环境步骤。

举例: $ build.anf.install.opencv.sh --cvversion 4.0.0 --pippkg /var/pippkg/ --pre false

cvVersion="master"
PipArg="-i https://mirrors.ustc.edu.cn/pypi/web/simple "
if [ "$http_proxy" ]; then
    PipArg=$PipArg" --proxy "$http_proxy
fi
pre=""

while [ $# -ge 2 ];
do
    case "$1" in
        --cvversion) cvVersion=$2 ; shift 2;;
        --pippkg) PipArg="--no-index -f $2" ; shift 2;;
        --pre) pre=$2; shift 2;;
        *) echo "unknown parameter $1"; exit 1; break;;
    esac
done

echo "============================"
echo "cvVersion: $cvVersion"
echo "PipArg: $PipArg"
echo "doPrepare: $pre"
echo "============================"

cwd=$(pwd)
venvname=py3venv_build_opencv-"$cvVersion"

安装依赖包

## Update Packages
sudo apt -y update
sudo apt -y upgrade

sudo apt -y remove x264 libx264-dev

## Install dependencies
sudo apt -y install build-essential checkinstall cmake pkg-config yasm
sudo apt -y install git gfortran
sudo apt -y install libjpeg8-dev libjasper-dev libpng12-dev

sudo apt -y install libtiff5-dev

sudo apt -y install libtiff-dev

sudo apt -y install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev
sudo apt -y install libxine2-dev libv4l-dev
cd /usr/include/linux
sudo ln -s -f ../libv4l1-videodev.h videodev.h
cd $cwd

sudo apt -y install libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev
sudo apt -y install libgtk2.0-dev libtbb-dev qt5-default
sudo apt -y install libatlas-base-dev
sudo apt -y install libfaac-dev libmp3lame-dev libtheora-dev
sudo apt -y install libvorbis-dev libxvidcore-dev
sudo apt -y install libopencore-amrnb-dev libopencore-amrwb-dev
sudo apt -y install libavresample-dev
sudo apt -y install x264 v4l-utils

# Optional dependencies
sudo apt -y install libprotobuf-dev protobuf-compiler
sudo apt -y install libgoogle-glog-dev libgflags-dev
sudo apt -y install libgphoto2-dev libeigen3-dev libhdf5-dev doxygen

安装 Python 及虚拟环境

## Install Python Libraries
sudo apt -y install python3-dev python3-pip
sudo -H pip3 install -i https://mirrors.ustc.edu.cn/pypi/web/simple --proxy http://proxysz.zte.com.cn:80 -U pip numpy
sudo apt -y install python3-testresources

# create virtual environment
cd $cwd
if [ ! -d $venvname ]; then
    python3 -m venv $venvname
fi
source "$cwd"/$venvname/bin/activate
pip install $PipArg -U pip
pip install $PipArg wheel numpy scipy matplotlib scikit-image scikit-learn ipython dlib
deactivate

下载 opencv 源码

## Download scr
if [ ! -d "opencv.git" ]; then
    git clone https://github.com/opencv/opencv.git opencv.git
fi
cd opencv.git
git checkout $cvVersion
cd ..

if [ ! -d "opencv_contrib.git" ]; then
    git clone https://github.com/opencv/opencv_contrib.git opencv_contrib.git
fi
cd opencv_contrib.git
git checkout $cvVersion
cd ..

编译 opencv

cd opencv.git
if [ ! -d "build" ]; then
    mkdir build
fi
cd build
starttime=`date +'%Y-%m-%d %H:%M:%S'`
opts="-D CMAKE_BUILD_TYPE=RELEASE \
      -D CMAKE_INSTALL_PREFIX=$cwd/installation/OpenCV-"$cvVersion" \
      -D WITH_QT=ON \
      -D WITH_TBB=ON \
      -D WITH_V4L=ON \
      -D WITH_PNG=ON \
      -D WITH_JPEG=ON \
      -D WITH_OPENGL=ON \
      -D BUILD_EXAMPLES=OFF \
      -D OPENCV_PYTHON3_INSTALL_PATH=$cwd/$venvname/lib/python3.5/site-packages \
      -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib.git/modules \
      -D BUILD_opencv_world=OFF "
cmake $opts ..
make -j8
endtime=`date +'%Y-%m-%d %H:%M:%S'`
start_seconds=$(date --date="$starttime" +%s);
end_seconds=$(date --date="$endtime" +%s);
echo "本次运行时间： "$((end_seconds-start_seconds))"s"
make install
cd $cwd

编译结果

脚本中默认编译了 opencv_contrib，则最终生成的 modules 会多很多，我对有无 -D OPENCV_EXTRA_MODULES_PATH 做了对比

• 最终安装到 python 环境的 cv2.cpython-35m-x86_64-linux-gnu.so 文件：3.9M、6.8M
• build 文件夹体积：分别是 5G、12G
  • 其中 modules 文件夹差异最大，如下图：