Metadata-Version: 2.1
Name: nisnap
Version: 0.1b0
Summary: nisnap
Home-page: https://gitlab.com/xgrg/nisnap
Author: Greg Operto
Author-email: goperto@barcelonabeta.org
License: UNKNOWN
Download-URL: https://gitlab.com/xgrg/nisnap/-/archive/v0.1/nisnap-v0.1.tar.gz
Description: # nisnap
        
        [![pipeline status](https://gitlab.com/xgrg/nisnap/badges/master/pipeline.svg)](https://gitlab.com/xgrg/nisnap/commits/master)
        [![coverage report](https://gitlab.com/xgrg/nisnap/badges/master/coverage.svg)](https://gitlab.com/xgrg/nisnap/commits/master)
        [![downloads](https://img.shields.io/pypi/dm/nisnap.svg)](https://pypi.org/project/nisnap/)
        [![python versions](https://img.shields.io/pypi/pyversions/nisnap.svg)](https://pypi.org/project/nisnap/)
        [![pypi version](https://img.shields.io/pypi/v/nisnap.svg)](https://pypi.org/project/nisnap/)
        
        
        Create snapshots of segmentation maps produced by neuroimaging software.
        
        ## Usage
        
        From a Terminal:
        
        ```
        nisnap c1.nii.gz c2.nii.gz c3.nii.gz --bg /tmp/test.nii.gz --opacity 30 -o /tmp/test.gif
        ```
        
        From IPython/Jupyter Notebook:
        
        ```
        import nisnap
        nisnap.plot_segment(
        ```
        
        ### Using XNAT
        
        From a Terminal:
        
        ```
        nisnap --config /home/grg/.xnat.cfg -e BBRC_E000
        ```
        
        From IPython/Jupyter Notebook:
        
        ```
        from nisnap import xnat
        xnat.plot_segment(config='/home/grg/.xnat.cfg', experiment_id='BBRC_E000',
          raw=True, opacity=30, axes=('A'), cut_coords=range(100,120,2), animated=True)
        ```
        
        
        ## How to install
        
        ```
        pip install nisnap
        ```
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
