xcp_d.interfaces.nilearn.Smooth

class xcp_d.interfaces.nilearn.Smooth(check_import=True, *args, **kwargs)[source]

Smooth image.

Mandatory Inputs:

in_file (a pathlike object or string representing an existing file) – An image to smooth.

Optional Inputs:

fwhm (a float or a list of from 3 to 3 items which are a float) – Full width at half maximum. Smoothing strength, as a full-width at half maximum, in millimeters.
out_file (a pathlike object or string representing a file) – The name of the smoothed file to write out. smooth_img.nii.gz by default. (Nipype default value: smooth_img.nii.gz)

Outputs:

out_file (a pathlike object or string representing an existing file) – Smoothed output file.

__init__(check_import=True, *args, **kwargs)[source]: Subclasses must implement __init__

Methods

`__init__`([check_import])	Subclasses must implement __init__
`aggregate_outputs`([runtime, needed_outputs])	Collate expected outputs and apply output traits validation.
`help`([returnhelp])	Prints class help
`load_inputs_from_json`(json_file[, overwrite])	A convenient way to load pre-set inputs from a JSON file.
`run`([cwd, ignore_exception])	Execute this interface.
`save_inputs_to_json`(json_file)	A convenient way to save current inputs to a JSON file.

Attributes

`always_run`	Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context.
`can_resume`	Defines if the interface can reuse partial results after interruption.
`imports`
`resource_monitor`
`version`	interfaces should implement a version property