Metadata-Version: 2.1
Name: snirf2bids
Version: 0.5.0
Summary: To convert snirf file to bids format.
Home-page: https://github.com/andyzjc/snirf2bids
Author: JC
Author-email: andyzjc@bu.edu
License: MIT
Description: 
        ![python](https://img.shields.io/pypi/pyversions/snirf2bids?color=green)
        ![pypi](https://img.shields.io/pypi/v/snirf2bids?color=blue)
        [![tests](https://github.com/BUNPC/snirf2bids/actions/workflows/test.yml/badge.svg)](https://github.com/BUNPC/snirf2bids/actions/workflows/test.yml)
        
        # Installation
        
        `pip install snirf2bids`
        
        # Table of Contents
        - [Introduction](#snirf2bids)
        - [Features](#features)
          - [Create BIDS Structures](#create-bids-compliant-structures)
          - [Create BIDS Metadata Directory](#create-bids-compliant-metadata-directory)
          - [Create BIDS Metadata Files in JSON Format](#create-bids-compliant-metadata-files-in-json-format)
        
        - [BIDS implementation](#bids-implementation)
        - [Contributors](#contributors)
        
        # snirf2BIDS
        Conveniently generate BIDS structures from [SNIRF files](https://github.com/fnirs/snirf).  
        
        [snirf2BIDS](https://pypi.org/project/snirf2bids/) requires [Python](https://www.python.org/downloads/) >3 and [h5py](https://www.h5py.org/) >3.6.
        
        # Installation
        
        `pip install snirf2bids`
        
        # Features
        - Create BIDS text files from a SNIRF file
        - Export BIDS text files in JSON Format
        
        # BIDS implementation
        
        The fields and descriptions in JSON files are based on the latest [Brain Imaging Data Structure v1.7.1-dev](https://bids-specification--802.org.readthedocs.build/en/stable/04-modality-specific-files/11-functional-near-infrared-spectroscopy.html#channels-description-_channelstsv) 
        and [SNIRF specification](https://github.com/fNIRS/snirf).
        
        # Contributors
        
        Developed by BU BME Senior Design Group 3 (2022): Christian Arthur, Jeonghoon Choi, Jiazhen Liu, Juncheng Zhang and the [Boston University Neurophotonics Center](https://github.com/BUNPC).
        [@Christian Arthur :melon:](https://github.com/chrsthur)<br>
        [@Juncheng Zhang :tangerine:](https://github.com/andyzjc)<br>
        [@Jeonghoon Choi :pineapple:](https://github.com/jeonghoonchoi)<br>
        [@Jiazhen Liu :grapes:](https://github.com/ELISALJZ)<br>
        
        This project exists thanks to: <br>
        <center class= "half">
        <a href="https://github.com/sstucker">
        <img src="https://github.com/sstucker.png" width="50" height="50">
        </a>
        
        <a href="https://github.com/rob-luke">
        <img src="https://github.com/rob-luke.png" width="50" height="50">
        </a>
        
        <a href="https://github.com/chrsthur">
        <img src="https://github.com/chrsthur.png" width="50" height="50">
        </a>
        
        <a href="https://github.com/andyzjc">
        <img src="https://github.com/andyzjc.png" width="50" height="50">
        </a>
        
        <a href="https://github.com/jeonghoonchoi">
        <img src="https://github.com/jeonghoonchoi.png" width="50" height="50">
        </a>
        
        <a href="https://github.com/ELISALJZ">
        <img src="https://github.com/ELISALJZ.png" width="50" height="50">
        </a>
          
        <a href="https://github.com/dboas">
        <img src="https://github.com/dboas.png" width="50" height="50">
        </a>
                                                             </center>
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
