Install OpenCV on Ubuntu or Debian is a bit long but very easy. You can install OpenCV from the Ubuntu or Debian repository or from the official site.

OPTION 1: INSTALL OPENCV FROM THE UBUNTU OR DEBIAN REPOSITORY
（方案一安装后检查版本为2.OPENCV OPpkg-config –modversion opencv ）
You can install OpenCV from the Ubuntu or Debian repository:

sudo apt-get install libopencv-dev python-opencv
However, you will probably not have installed the latest version of OpenCV and you may miss some features (for example: Python 3 bindings do not exist in the repository).

OPTION 2: INSTALL OPENCV FROM THE OFFICIAL SITE

To install the latest version of OpenCV be sure that you have removed the library from the repository with sudo apt-get autoremove libopencv-dev python-opencv and follow the steps below.

2.1. RUN AN INSTALLATION SCRIPT

The most simple and elegant way to install a library is running an installation script.

Download the installation script install-opencv.sh, open your terminal and execute:

bash install-opencv.sh
Type your sudo password and you will have installed OpenCV. This operation may take a long time due to the packages to be installed and the compilation process.

This script has been tested on Ubuntu 14.04 LTS, Ubuntu 16.04 LTS and Debian 8.0 “Jessie”, with OpenCV 3.0.0, OpenCV 3.1.0, and OpenCV 3.2.0. You can freely change this script as you like or adapt it to other OS or OpenCV version.cv

2.2. EXECUTE SOME OPENCV EXAMPLES

Go to your OpenCV directory and execute a C++ example:

cd build/bin
./cpp-example-edge ../../samples/data/fruits.jpg
Now, go to your OpenCV directory and execute a Python example:

cd samples/python
python3 video.py
Finally, go to your OpenCV directory and execute a Java example:

cd samples/java/ant
ant -DocvJarDir=../../../build/bin -DocvLibDir=../../../build/lib
2.3. COMPILE A DEMONSTRATION

Download the files demo.cpp and CMakeLists.txt and put them into a folder. Now, open your terminal, go to the folder and execute:

mkdir build && cd build && cmake .. && make
Finally, run the demo: ./demo.

And that’s it! You have installed OpenCV, run some examples, and compiled OpenCV code!