Implements Yunguan Fu's MIL3ID paper presented at MICCAI 2019
Project description
Author: Yunguan Fu
yunguanfu-mil3id2019 is part of the SNAPPY software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).
yunguanfu-mil3id2019 supports Python 3.6.
yunguanfu-mil3id2019 is currently a demo project, which will add/multiply two numbers. Example usage:
python yfmil3id2019_train.py -x 5 -y 8 python yfmil3id2019_train.py -x 3 -y 6 --multiply
Please explore the project structure, and implement your own functionality.
Developing
Cloning
You can clone the repository using the following command:
git clone https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/yunguanfu-mil3id2019
Running tests
Pytest is used for running unit tests:
pip install pytest python -m pytest
Linting
This code conforms to the PEP8 standard. Pylint can be used to analyse the code:
pip install pylint pylint --rcfile=tests/pylintrc yfmil3id2019
Installing
You can pip install directly from the repository as follows:
pip install git+https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/yunguanfu-mil3id2019
Contributing
Please see the contributing guidelines.
Useful links
Licensing and copyright
Copyright 2019 University College London. yunguanfu-mil3id2019 is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file yunguanfu_mil3id2019-0.0.1-py2.py3-none-any.whl
.
File metadata
- Download URL: yunguanfu_mil3id2019-0.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 12.8 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.34.0 CPython/2.7.15+
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8a83f04bdb5fd313039c29b51c399453a665f9723ed7af5ef962cea3ca488bc5 |
|
MD5 | e193045b83e5b28418d720a01256205d |
|
BLAKE2b-256 | b39ccb90b3e72cfcb9c39dae7c804d551ef4da55d7c4a55946a79cc05c74f869 |