Metadata-Version: 2.1
Name: deepreg
Version: 0.1.0b1
Summary: DeepReg is a freely available, community-supported open-source toolkit for research and education in medical image registration using deep learning.
Home-page: http://deepreg.net/
Author: DeepReg Development Team and Community
Author-email: deepregnet@gmail.com
License: apache-2.0
Description: <p align="center">
        	<img src="https://raw.githubusercontent.com/DeepRegNet/DeepReg/main/docs/asset/deepreg_logo_purple_beta.svg" alt="deepreg_logo" title="DeepReg" width="200" />
        </p>
        
        # DeepReg
        
        [![Build Status](https://travis-ci.org/DeepRegNet/DeepReg.svg?branch=main)](https://travis-ci.org/DeepRegNet/DeepReg)
        [![Documentation Status](https://readthedocs.org/projects/deepreg/badge/?version=latest)](https://deepreg.readthedocs.io/en/latest/?badge=latest)
        [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
        [![codecov](https://codecov.io/gh/DeepRegNet/DeepReg/branch/main/graph/badge.svg)](https://codecov.io/gh/DeepRegNet/DeepReg)
        
        **DeepReg is a freely available, community-supported open-source toolkit for research
        and education in medical image registration using deep learning.**
        
        - TensorFlow2-based for efficient training and rapid deployment;
        - Implementing major unsupervised and weakly-supervised algorithms, with their
          combinations and variants;
        - Focusing on growing and diverse clinical applications, with all DeepReg Demos using
          open-accessible data;
        - Simple built-in command line tools requiring minimal programming and scripting;
        - Open, permissible and research-and-education-driven, under the Apache 2.0 license.
        
        > _DeepReg<sup>beta</sup> will be released in Autumn 2020 - however, many tutorials,
        > demos and much of the core functionality are already accessible._
        
        ---
        
        ## Getting Started
        
        - [Documentation, tutorials and a quick start guide](https://deepreg.readthedocs.io/)
        - [DeepReg Demos](https://deepreg.readthedocs.io/en/latest/demo/introduction.html)
        - Code: https://github.com/DeepRegNet/DeepReg
        - Issue tracker: https://github.com/DeepRegNet/DeepReg/issues/new/choose
        - Website: http://deepreg.net/
        
        ## Contributing
        
        Get involved, and help make DeepReg better!
        
        For guidance on making a contribution to DeepReg, see the
        [contribution guidelines](https://deepreg.readthedocs.io/en/latest/contributing/code.html).
        
        If you identified a registration application with openly accessible data, please
        consider
        [contributing a DeepReg Demo](https://deepreg.readthedocs.io/en/latest/contributing/demo.html).
        
        ## MICCAI 2020 Educational Challenge
        
        The MICCAI Educational Challenge notebook can be accessed
        [here](https://github.com/DeepRegNet/DeepReg/blob/main/docs/Intro_to_Medical_Image_Registration.ipynb)
        or run it on
        [Colab](https://colab.research.google.com/github/DeepRegNet/DeepReg/blob/main/docs/Intro_to_Medical_Image_Registration.ipynb).
        
Keywords: Deep Learning,Image Fusion,Medical Image Registration,Neural Networks
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: GPU
Classifier: Environment :: MacOS X
Classifier: Environment :: Win32 (MS Windows)
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Software Development
Description-Content-Type: text/markdown
