Metadata-Version: 1.1
Name: tractography
Version: 0.1.13
Summary: The package deals with brain bundles images
Home-page: https://weekmo.github.io/Tractography/
Author: Mohammed Abdelgadir
Author-email: UNKNOWN
License: UNKNOWN
Description: 
        [![license - GPL](https://img.shields.io/aur/license/yaourt.svg)](https://www.gnu.org/licenses/gpl-3.0.txt)
        
        # Tractograpy
        
        ## It is a module deals withe Brain Bundles
        
        It includes functions to read/write, visualise and register bundles
        ### "It's always preferred to use source code!"
        ## Installation:
        
        Easy to install by using pip (recommended)
        
        ```commandline
        pip install tractography
        ```
        or conda
        
        ```commandline
        conda install -c weekmo tractography
        ```
        
        ## Example 1:
        #### Register two bundles
        ```python
        
        from tractography.io import read_ply,write_trk
        from tractography.registration import register
        from tractography.viz import draw_brain
        
        # Read bundles
        data1 = read_ply('target.ply')
        data2 = read_ply('subject.ply')
        
        # Register bundle
        aligned_bundle,mat = register(target=data1, subject=data2)
        
        # Write to trk file
        write_trk("aligned_bundle.trk", aligned_bundle)
        
        # Export images before and after registration
        draw_brain([data1,data2])
        draw_brain([data1,aligned_bundle])
        ```
        
        ## Example 2:
        #### Show all bundles in a folder
        ```python
        from tractography.viz import draw_brain
        from os import listdir
        from os.path import isfile
        from tractography.io import read_ply
        import argparse
        
        parser = argparse.ArgumentParser(description='Input argument parser.')
        parser.add_argument('-f', type=str, help='location of files')
        args = parser.parse_args()
        # data_path = 'data/'
        data_path = args.f
        files = [data_path + f for f in listdir(data_path) if isfile(data_path + f) and f.endswith('.ply')]
        
        brain = []
        for name in files:
            brain.append(read_ply(name))
        draw_brain(brain)
        ```
        Enjoy
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
