Classes for representing different file formats in Python classes for use in type hinting in data workflows

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  • License: Apache Software License (Creative Commons Attribution 4.0 International Public License By exercising the Licensed Rights (def...)
  • Author: Thomas G. Close
  • Maintainer: Thomas G. Close
  • Tags data, file formats
  • Requires: Python >=3.8
  • Provides-Extra: dev, jq, test
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https://github.com/ArcanaFramework/fileformats-medimage/actions/workflows/ci-cd.yml/badge.svg https://codecov.io/gh/ArcanaFramework/fileformats-medimage/branch/main/graph/badge.svg?token=UIS0OGPST7 Supported Python versions Documentation Status

This is a extras module for the fileformats-medimage package, which provides additional functionality to format classes (i.e. aside from basic identification and validation), such as conversion tools, metadata parsers, test data generators, etc…

Prerequisites

In order to perform conversions between DICOM and neuroimaging formats such as NIfTI you will need to install the following packages

Please see their installation instructions for the best method for your system (alternatively the Test GitHub action contains an example installation for Ubuntu)

Installation

This extension can be installed for Python 3 using pip:

$ pip3 install fileformats-medimage-extras

License

This work is licensed under a Creative Commons Attribution 4.0 International License

Creative Commons Attribution 4.0 International License

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  • License: Apache Software License (Creative Commons Attribution 4.0 International Public License By exercising the Licensed Rights (def...)
  • Author: Thomas G. Close
  • Maintainer: Thomas G. Close
  • Tags data, file formats
  • Requires: Python >=3.8
  • Provides-Extra: dev, jq, test
Classifiers

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