Metadata-Version: 2.2
Name: composable-mapping
Version: 0.1.4
Summary: Composable mapping is a PyTorch utility library for handling geometric deformations
Author: Joel Honkamaa
License: MIT License
        
        Copyright (c) 2023 Joel Honkamaa
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://github.com/honkamj/composable-mapping
Keywords: deep learning,neural networks,image registration,deformation,coordinate mapping,pytorch
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch>=2.0
Requires-Dist: deformation_inversion_layer>=1.1.2
Requires-Dist: nibabel
Requires-Dist: matplotlib

# Composable mapping

*Composable mapping* is a PyTorch utility library for handling geometric deformations, develped as part of SITReg, a deep learning intra-modality image registration arhitecture fulfilling strict symmetry properties.

## Installation

Install using pip by running the command

    pip install composable-mapping

## Requirements

- `Python 3.8+`
- `PyTorch 1.10+`
- `nibabel`
- `matplotlib` (optional)

## Source code

Code repository can be found at GitHub [https://github.com/honkamj/composable-mapping](https://github.com/honkamj/composable-mapping)

## Documentation

For documentation, see the GitHub repository.

## Publication

If you use the repository, please cite the SITReg paper. Details for citing can be found at the GitHub repository.

## License

Composable mapping is released under the MIT license.
