Metadata-Version: 2.1
Name: interpret-segmentation
Version: 0.0.2
Summary: Interpreing image segmentation models
Home-page: https://github.com/pypa/sampleproject
Author: Fabio Anderegg
Author-email: andef4@bfh.ch
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: Pillow
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: tqdm
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: flake8 ; extra == 'dev'
Requires-Dist: pre-commit ; extra == 'dev'
Requires-Dist: sphinx ; extra == 'dev'
Requires-Dist: sphinx-rtd-theme ; extra == 'dev'

# Interpret Segmentation

A one-stop shop for the interpretability of image segmentation models.
This code was extracted from my bachelors thesis: https://github.com/andef4/thesis-code

Available algorithms:

- Hausdorff Distance Masks
- RISE

## Documentation
The documentation is available on Read the Docs: https://interpret-segmentation.readthedocs.io/en/latest/.

# Development

To hack on interpret-segmentation, do the following:

- Clone the git repository
- Create a new virtualenv and activate it, e.g. `python3 -m venv venv/; source venv/bin/activate`
- Inside the git repository, install the library in development mode including development dependencies: `pip install -e .[dev]`
- Install the flake8 pre-commit hook with `pre-commit`


