PAQUO: PAthological QUpath Obsession
Welcome to paquo wave, a library for interacting with QuPath from Python.
paquo's goal is to provide a pythonic interface to important features of QuPath, and to make creating and working with QuPath projects intuitive for Python programmers.
We strive to make your lives as easy as possible: If paquo is not pythonic, unintuitive, slow or if its documentation is confusing, it's a bug in paquo. Feel free to report any issues or feature requests in the issue tracker!
Development Installation
- Install conda and git
- Clone paquo
git clonehttps://github.com/bayer-science-for-a-better-life/paquo.git - Run
conda env create -f environment.yaml - Activate the environment
conda activate paquo
Note that in this environment paquo is already installed in development mode, so go ahead and hack.
Contributing Guidelines
- Please follow pep-8 conventions but:
- We allow 120 character long lines (try anyway to keep them short)
- Please use numpy docstrings.
- When contributing code, please try to use Pull Requests.
- tests go hand in hand with modules on
testspackages at the same level. We usepytest.
You can setup your IDE to help you adhering to these guidelines.
(Santi is happy to help you setting up pycharm in 5 minutes)
Acknowledgements
Build with love by Andreas Poehlmann and Santi Villalba from the Machine Learning Research group at Bayer. In collaboration with the Pathology Lab 2 and the Mechanistic and Toxicologic Pathology group.
paquo: copyright 2020 Bayer AG, licensed under GPL-3.0
