This is a companion repo to my article on image processing basics: https://codewords.recurse.com/issues/six/image-processing-101
Code examples on how to do things with OpenCV on iPython Notebook.
These instructions are for Mac OSX. For installation on other systems, feel free to use your own choice of a virtual environment for Python. OpenCV for Python requires a local installation of OpenCV on your machine, from which we will create symlinks to in your virtual environment.
Install virtualenv
Install OpenCV
# install OpenCV and create symlinks
brew tap homebrew/science
brew install opencv
Set up virtual environment
# create virtual environment
virtualenv .venv
source .venv/bin/activate
# install requirements, which includes iPython
pip install -r requirements.txt
Create symlinks to local OpenCV installation
# for other systems, change the path to site-packages to where your OpenCV installation lies.
cd .venv/lib/python2.7
ln -s `brew --prefix opencv`/lib/python2.7/site-packages/cv.py cv.py
ln -s `brew --prefix opencv`/lib/python2.7/site-packages/cv2.so cv2.so
conda install -c https://conda.anaconda.org/menpo opencv3
To run the iPython notebook, which will open up a browser tab with the .ipynb file that you can now work on.
ipython notebook
Did you complete step 4 of the installation? Ensure that you are linking to existing cv2.py and cv2.so files.
Try restarting the virtual enviroment and iPython.
deactivate
source .venv/bin/activate
ipython notebook
Submit an issue on Github, and I'll do my best to help you out!