文章目录
前言
之前一直捣鼓想在ubuntu下安装编译opencv的版本，但是无奈一直没有成功。最近终于搞定，特此记录一下。
第一步： 更新一下ubuntu下的包
- 更新一下ubuntu下的包
sudo apt-get update sudo apt-get upgrade
第二步：安装操作系统需要的相应的库
- 安装操作系统需要的相应的库
#移除之前x264 sudo apt-get remove x264 libx264-dev # 安装需要的依赖 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 # 如果你是 Ubuntu 14.04，就执行下面这条语句 sudo apt-get install libtiff4-dev ########################################################## # 如果你是 Ubuntu 16.04，就执行下面这条语句 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 # 可选的依赖，建议都装了吧 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库
- 安装python库,如果你之前装了python3啥的就不用安装了。下面主要是安装python的组件和numpy
sudo apt-get install python-dev python-pip python3-dev python3-pip sudo -H pip2 install -U pip numpy sudo -H pip3 install -U pip numpy
第四步：创建虚拟环境（可选）
- 这里创建了虚拟环境安装，好处是隔离环境。如果不需要的话可以略过。
# Install virtual environment sudo pip2 install virtualenv virtualenvwrapper sudo pip3 install virtualenv virtualenvwrapper echo "# Virtual Environment Wrapper" >> ~/.bashrc echo "source /usr/local/bin/virtualenvwrapper.sh" >> ~/.bashrc source ~/.bashrc ############ For Python 2 ############ # create virtual environment mkvirtualenv facecourse-py2 -p python2 workon facecourse-py2 # now install python libraries within this virtual environment pip install numpy scipy matplotlib scikit-image scikit-learn ipython # quit virtual environment deactivate ###################################### ############ For Python 3 ############ # create virtual environment mkvirtualenv facecourse-py3 -p python3 workon facecourse-py3 # now install python libraries within this virtual environment pip install numpy scipy matplotlib scikit-image scikit-learn ipython # quit virtual environment deactivate ######################################
第五步：下载OpenCV and OpenCV_contrib
- 下载OpenCV 和 OpenCV_contrib
git clone https://github.com/opencv/opencv.git cd opencv # 这里的checkout是将版本切换到3.3.1，原来直接从github下载整个opencv就可以切换版本的，之前我不知道，安装的总是最新的... git checkout 3.3.1 cd .. ###################################################################### # 对于opencv_contrib也是同理 git clone https://github.com/opencv/opencv_contrib.git cd opencv_contrib git checkout 3.3.1 cd ..
第六步：编译和安装带contrib模块的Opencv
- 编译和安装带contrib模块的Opencv
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先创建一个build目录
cd opencv mkdir build cd build -
CMake
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/modules \ -D BUILD_EXAMPLES=ON .. -
编译和安装
可以通过nproc来查看你的cpu支持多少线程。我的支持12线程，那我就用12线程吧。make -j12 sudo make install sudo sh -c 'echo "/usr/local/lib" >> /etc/ld.so.conf.d/opencv.conf' sudo ldconfig -
为虚拟环境创建符号链接(软链接)(可选)
Depending upon Python version you have, paths would be different. OpenCV’s Python binary (cv2.so) can be installed either in directory site-packages or dist-packages. Use the following command to find out the correct location on your machine.
find /usr/local/lib/ -type f -name "cv2*.so"It should output paths similar to one of these (or two in case OpenCV was compiled for both Python2 and Python3):
############ For Python 2 ############ ## binary installed in dist-packages /usr/local/lib/python2.6/dist-packages/cv2.so /usr/local/lib/python2.7/dist-packages/cv2.so ## binary installed in site-packages /usr/local/lib/python2.6/site-packages/cv2.so /usr/local/lib/python2.7/site-packages/cv2.so ############ For Python 3 ############ ## binary installed in dist-packages /usr/local/lib/python3.5/dist-packages/cv2.cpython-35m-x86_64-linux-gnu.so /usr/local/lib/python3.6/dist-packages/cv2.cpython-36m-x86_64-linux-gnu.so ## binary installed in site-packages /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-x86_64-linux-gnu.so /usr/local/lib/python3.6/site-packages/cv2.cpython-36m-x86_64-linux-gnu.soDouble check the exact path on your machine before running the following commands
############ For Python 2 ############ cd ~/.virtualenvs/facecourse-py2/lib/python2.7/site-packages ln -s /usr/local/lib/python2.7/dist-packages/cv2.so cv2.so ############ For Python 3 ############ cd ~/.virtualenvs/facecourse-py3/lib/python3.6/site-packages ln -s /usr/local/lib/python3.6/dist-packages/cv2.cpython-36m-x86_64-linux-gnu.so cv2.so
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第七步：测试Opencv3
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测试Opencv3
We will test a red eye remover application written in OpenCV to test our C++ and Python installations. Download RedEyeRemover.zip and extract it into a folder.
文件地址：RedEyeRemover.zip
- 首先测试CPP代码
# compile # There are backticks ( ` ) around pkg-config command not single quotes g++ -std=c++11 removeRedEyes.cpp `pkg-config --libs --cflags opencv` -o removeRedEyes # run ./removeRedEyes - 然后测试Pyhont代码
- 启动python虚拟环境(可选)
############ For Python 2 ############ workon facecourse-py2 ############ For Python 3 ############ workon facecourse-py3 - 快速测试
# open ipython (run this command on terminal) ipython # import cv2 and print version (run following commands in ipython) import cv2 print cv2.__version__ # If OpenCV3 is installed correctly, # above command should give output 3.3.1 # Press CTRL+D to exit ipython - 或者运行
RedEyeRemoverdemo
python removeRedEyes.py - 退出python虚拟环境(可选)
deactivate
- 启动python虚拟环境(可选)
- 首先测试CPP代码