一、原始碼編譯安裝（C++版）

1.安裝一系列依賴項：

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
sudo apt-get install –assume-yes libopencv-dev libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libxine2-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev libtbb-dev libqt4-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils unzip
sudo apt-get install ffmpeg libopencv-dev libgtk-3-dev python-numpy python3-numpy libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libxine2-dev libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libv4l-dev libtbb-dev qtbase5-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev 
 

   接著建立編譯資料夾：

cd ~/opencv-3.4.3/
mkdir build
cd build

 3.配置：

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D WITH_GTK=ON -D WITH_GTK_2_X=ON -D CUDA_NVCC_FLAGS="-D_FORCE_INLINES" ..

4.編譯：

sudo make -j8  #-j8表示平行計算，根據自己電腦的配置進行設定，配置比較低的電腦可以將數字改小或不使用，直接輸make。
 

5.安裝：

sudo make install -j8

5.查詢版本：

pkg-config --modversion opencv

二、安裝OpenCV（python版）

pip install opencv-python   #已經安裝了anaconda
pip install python-opencv   #未安裝anaconda

  匯入並查詢版本：

 注意：如果是想要在anaconda建立的python環境中安裝opencv執行如下命令即可：

conda install opencv    #會提示安裝一些列依賴，直接yes就行