Metadata-Version: 2.1
Name: ndjsonTosvg
Version: 0.0.2
Summary: ndjsonTosvg to convert Google Quickdraw data set ndjson format to svg images
Home-page: https://github.com/thompson318/ndjsonTosvg
Author: Stephen Thompson
Author-email: YOUR-EMAIL@ucl.ac.uk
License: BSD-3 license
Description: ndjsonTosvg
        ===============================
        
        .. image:: https://github.com/thompson318/ndjsonTosvg/raw/master/project-icon.png
           :height: 128px
           :width: 128px
           :target: https://github.com/thompson318/ndjsonTosvg
           :alt: Logo
        
        .. image:: https://github.com/thompson318/ndjsonTosvg/workflows/.github/workflows/ci.yml/badge.svg
           :target: https://github.com/thompson318/ndjsonTosvg/actions
           :alt: GitHub Actions CI status
        
        .. image:: https://coveralls.io/repos/github/thompson318/ndjsonTosvg/badge.svg?branch=master&service=github
            :target: https://coveralls.io/repos/github/thompson318/ndjsonTosvg?branch=master
            :alt: Test coverage
        
        .. image:: https://readthedocs.org/projects/ndjsontosvg/badge/?version=latest 
            :target: http://ndjsonTosvg.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        Author: Stephen Thompson
        
        ndjsonTosvg is a utility to convert data from Google's `Quickdraw`_ dataset to scalable vector
        graphics format. The input data should be in Google's simplified ndjson format. 
        
        ndjsonTosvg is part of the `SciKit-Surgery`_ software project, developed at the `Wellcome EPSRC Centre for Interventional and Surgical Sciences`_, part of `University College London (UCL)`_.
        
        ndjsonTosvg supports Python 3.x.
        
        Usage 
        
        ::
            
            ndjsonTosvg --filein FILEIN -n NUMBEROFSAMPLES
        
        For more usage run
        
        ::
        
            ndjsonTosvg --help
        
        Please explore the project structure, and implement your own functionality.
        
        Developing
        ----------
        
        Cloning
        ^^^^^^^
        
        You can clone the repository using the following command:
        
        ::
        
            git clone https://github.com/thompson318/ndjsonTosvg
        
        
        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 ndjsontosvg
        
        
        Installing
        ----------
        
        You can pip install directly from the repository as follows:
        
        ::
        
            pip install git+https://github.com/thompson318/ndjsonTosvg
        
        
        
        Contributing
        ^^^^^^^^^^^^
        
        Please see the `contributing guidelines`_.
        
        
        Useful links
        ^^^^^^^^^^^^
        
        * `Source code repository`_
        * `Documentation`_
        
        
        Licensing and copyright
        -----------------------
        
        Copyright 2020 University College London.
        ndjsonTosvg is released under the BSD-3 license. Please see the `license file`_ for details.
        
        
        Acknowledgements
        ----------------
        
        Supported by `Wellcome`_ and `EPSRC`_.
        
        .. _`Quickdraw`: https://quickdraw.withgoogle.com/data
        .. _`Wellcome EPSRC Centre for Interventional and Surgical Sciences`: http://www.ucl.ac.uk/weiss
        .. _`source code repository`: https://github.com/thompson318/ndjsonTosvg
        .. _`Documentation`: https://ndjsonTosvg.readthedocs.io
        .. _`SciKit-Surgery`: https://github.com/UCL/scikit-surgery/wiki
        .. _`University College London (UCL)`: http://www.ucl.ac.uk/
        .. _`Wellcome`: https://wellcome.ac.uk/
        .. _`EPSRC`: https://www.epsrc.ac.uk/
        .. _`contributing guidelines`: https://github.com/thompson318/ndjsonTosvg/blob/master/CONTRIBUTING.rst
        .. _`license file`: https://github.com/thompson318/ndjsonTosvg/blob/master/LICENSE
        
        
Keywords: medical imaging
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Description-Content-Type: text/x-rst
