Metadata-Version: 2.1
Name: antspymm
Version: 0.0.0
Summary: multi-channel/time-series medical image processing with antspyx
Home-page: https://github.com/stnava/ANTsPyMM
Author: Avants, Gosselin, Tustison, Reardon
Author-email: stnava@gmail.com
License: Apache 2.0
Description: # ANTsPyMM
        
        ## processing utilities for timeseries/multichannel images - mostly neuroimaging
        
        the outputs of these processes can be used for data inspection/cleaning/triage
        as well for interrogating hypotheses.
        
        this package also keeps track of the latest preferred algorithm variations for
        production environments.
        
        install by calling (within the source directory):
        
        ```
        python setup.py install
        ```
        
        or install via `pip install antspymm` **FIXME**
        
        # what this will do
        
        - FIXME
        
        
        the processes FIXME
        
        # first time setup
        
        ```python
        import antspymm
        antspymm.get_data()
        ```
        
        NOTE: `get_data` has a `force_download` option to make sure the latest
        package data is installed.
        
        # example processing
        
        ```python
        import os
        os.environ["TF_NUM_INTEROP_THREADS"] = "8"
        os.environ["TF_NUM_INTRAOP_THREADS"] = "8"
        os.environ["ITK_GLOBAL_DEFAULT_NUMBER_OF_THREADS"] = "8"
        
        import antspymm
        import antspyt1w
        import antspynet
        import ants
        
        
        img1 = ants.image_read( antspymm.get_data( "I1499279_Anon_20210819142214_5", target_extension=".nii.gz") )
        img2 = ants.image_read( antspymm.get_data( "I1499337_Anon_20210819142214_6", target_extension=".nii.gz") )
        dwp = antspymm.dewarp_imageset( [img1,img2] )
        # now write out the mean and dewarped images for further processing, eg with dipy
        
        ```
        
        
        ## to publish a release
        
        ```
        python3 -m build
        python -m twine upload -u username -p password  dist/*
        ```
        
Platform: UNKNOWN
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