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install.md

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For Windows:

  1. Install OpenCV python by typing pip install opencv-python in the command prompt/terminal.
  2. Test if the installation worked:
  3. Open Command Prompt/Terminal.
  4. Type in python.
  5. In the python shell type in import cv2 and in the next line cv2.__version__ and it should print 3.1.0.

For macOS:

  1. First step,install Xcode which is combination of IDE and software developement tools for developing applications on OSX AND iOS platform.

  2. Install homebrew.

  3. To update brew simply execute:

    $ brew update

  4. Install user specific version of python:

    $ brew install python

  5. However, before we proceed, we need to update our PATH in our ~/.bash_profile file to indicate that we want to use Homebrew packages before any system libraries or packages. Open up your ~/.bash_profile file in your favorite editor (if it does not exist, create it), and append the following lines to the file:

    # Homebrew
export PATH=/usr/local/bin:$PATH
    • From there, reload your ~./bash_profile file to ensure the changes have been made:
    $ source ~/.bash_profile

    • As a sanity check, let’s confirm that we are using the Homebrew version of Python rather than the system one: $ which python

    • If your output of which python is /usr/local/bin/python , then you are indeed using the Homebrew version of Python. And if your output is /usr/bin/python , then you are still using the system version of Python — and you need to go back and ensure that your ~/.bash_profile file is updated and reloaded correctly.

  6. [Optional] Installing virtualenv and virtualenvwrapper: $ pip install virtualenv virtualenvwrapper

    • Again, we need to update our ~/.bash_profile file by appending the following two lines: 
       # Virtualenv/VirtualenvWrapper
 source /usr/local/bin/virtualenvwrapper.sh
    • After updating the ~/.bash_profile file, we need to reload it: 
       $ source ~/.bash_profile
    • At this point, both virtualenv and virtualenvwrapper are installed correctly, so we can create our cv virtual environment: 
       $ mkvirtualenv cv

  7. We need to install NumPy since the OpenCV Python bindings represent images as multi-dimensional NumPy arrays:

    $ pip install numpy

    • Now that our developement environment is set up and configured,its time for us to get into real work.

       $ brew install cmake pkg-config

    • Install necessary image I/O packages

       $ brew install jpeg libpng libtiff openexr
 $ brew install eigen tbb

  8. Alright, our system is all setup — time to compile and install OpenCV 3.0 with Python 2.7+ support.

    $ cd ~
$ git clone https://github.com/Itseez/opencv.git
$ cd opencv
$ git checkout 3.0.0

    [Optional]

    $ cd ~
$ git clone https://github.com/Itseez/opencv_contrib
$ cd opencv_contrib
$ git checkout 3.0.0

  9. Let’s setup our OpenCV build by creating the build directory:

    $ cd ~/opencv
$ mkdir build
$ cd build

    • Where we’ll use CMake to configure our build

       $ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local \
 	-D PYTHON2_PACKAGES_PATH=~/.virtualenvs/cv/lib/python2.7/site-packages \
 	-D PYTHON2_LIBRARY=/usr/local/Cellar/python/2.7.10/Frameworks/Python.framework/Versions/2.7/bin \
 	-D PYTHON2_INCLUDE_DIR=/usr/local/Frameworks/Python.framework/Headers \
 	-D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON \
 	-D BUILD_EXAMPLES=ON \
 	-D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules ..
 $ make -j4
 $ make install
 $ sudo make install

  10. After all this work, lets check if OpenCV 3 is correctly installed.

    $ python
$ import cv2
$ cv2.__version

    The output has to be 3.1.0 or 3.0.0.

For Linux:

  1. Please refer to this link for installation.