Ubuntu16.04 编译OpenCV 和 Tesseract-OCR

由于最近工作需要将实现的图像识别算法，封装到安卓机器上进行测试。因此，初步考虑在公司Windows 7 旗舰版 64位系统中，利用VirtualBox安装Ubuntu系统；然后，在Ubuntu系统中，编译OpenCV和Tesseract-OCR。 具体步骤如下：

一、 安装VirtualBox

• 下载安装VirtualBox
• 安装增强扩展程序VirtualBox 5.1.8 Oracle VM VirtualBox Extension Pack

二、安装Ubuntu

• 下载Ubuntu16.04 64位
• 利用VirtualBox安装Ubuntu16.04

三、编译安装OpenCV

$ sudo apt-get update
$ sudo apt-get upgrade
$ sudo apt-get install build-essential cmake pkg-config
$ sudo apt-get install libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev
$ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
$ sudo apt-get install libxvidcore-dev libx264-dev
$ sudo apt-get install libgtk-3-dev
$ sudo apt-get install libatlas-base-dev gfortran
$ sudo apt-get install python2.7-dev python3.5-dev

• 下载OpenCV文件

$ cd ~
$ wget -O opencv.zip https://github.com/Itseez/opencv/archive/3.1.0.zip
$ unzip opencv.zip
$ wget -O opencv_contrib.zip https://github.com/Itseez/opencv_contrib/archive/3.1.0.zip
$ unzip opencv_contrib.zip

• 设置Python环境

$ cd ~
$ wget https://bootstrap.pypa.io/get-pip.py
$ sudo python get-pip.py
$ sudo pip install virtualenv virtualenvwrapper
$ sudo rm -rf ~/get-pip.py ~/.cache/pip

修改~/.bashrc

$ echo -e "n# virtualenv and virtualenvwrapper" >> ~/.bashrc
$ echo "export WORKON_HOME=$HOME/.virtualenvs" >> ~/.bashrc
$ echo "source /usr/local/bin/virtualenvwrapper.sh" >> ~/.bashrc
$ source ~/.bashrc

如果你用python2

$ mkvirtualenv cv -p python2
(cv)$ pip install numpy
(cv)$ cd ~/opencv-3.1.0/
(cv)$ mkdir build
(cv)$ cd build
(cv)$ cmake -D CMAKE_BUILD_TYPE=RELEASE 
    -D CMAKE_INSTALL_PREFIX=/usr/local      -D INSTALL_PYTHON_EXAMPLES=ON      -D INSTALL_C_EXAMPLES=OFF      -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.1.0/modules      -D PYTHON_EXECUTABLE=~/.virtualenvs/cv/bin/python      -D BUILD_EXAMPLES=ON ..

Make sure Python 2 section includes valid paths to the Interpreter,Libraries,numpy,and packages path.

(cv)$ make -j4 # 4 表示处理器核数目
(cv)$ sudo make install
(cv)$ sudo ldconfig
(cv)$ ls -l /usr/local/lib/python2.7/site-packages/
(cv)$ cd ~/.virtualenvs/cv/lib/python2.7/site-packages/
(cv)$ ln -s /usr/local/lib/python2.7/site-packages/cv2.so cv2.so

如果你用python3

$ mkvirtualenv cv -p python3
(cv) $ pip install numpy
(cv)$ cd ~/opencv-3.1.0/
(cv)$ mkdir build
(cv)$ cd build
(cv)$ cmake -D CMAKE_BUILD_TYPE=RELEASE 
    -D CMAKE_INSTALL_PREFIX=/usr/local      -D INSTALL_PYTHON_EXAMPLES=ON      -D INSTALL_C_EXAMPLES=OFF      -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.1.0/modules      -D PYTHON_EXECUTABLE=~/.virtualenvs/cv/bin/python      -D BUILD_EXAMPLES=ON ..

Make sure Python 2 section includes valid paths to the Interpreter,and packages path.

(cv)$ make -j4 # 4 表示处理器核数目
(cv)$ sudo make install
(cv)$ sudo ldconfig
(cv)$ ls -l /usr/local/lib/python3.5/site-packages/
(cv)$ cd /usr/local/lib/python3.5/site-packages/
(cv)$ sudo mv cv2.cpython-35m-x86_64-linux-gnu.so cv2.so
(cv)$ cd ~/.virtualenvs/cv/lib/python3.5/site-packages/
(cv)$ ln -s /usr/local/lib/python3.5/site-packages/cv2.so cv2.so

$ cd ~
$ workon cv
(cv)$ python
Python 3.5.2 (default,Jul  5 2016,12:43:10) 
[GCC 5.4.0 20160609] on linux
Type "help","copyright","credits" or "license" for more information.
>>> import cv2
>>> cv2.__version__
'3.1.0'
>>>

四、安装Tesseract-OCR

$ sudo apt-get update
$ sudo apt-get upgrade
$ sudo apt-get install tesseract-ocr

参考

Ubuntu 16.04: How to install OpenCV

Done!

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