#!/usr/bin/env python # # __init__.py - Wrappers for FSL command-line tools. # # Author: Paul McCarthy <pauldmccarthy@gmail.com> # """This package contains wrappers for various FSL command line tools, allowing them to be called from Python. For example, you can call BET like so:: from fsl.wrappers import bet bet('struct', 'struct_brain') If you would like a command to be submitted as a cluster job, all wrappers accept a ``submit`` keyword argument, which may be given a value of ``True`` indicating that the job should be submitted with default settings, or a dictionary with submission settings:: from fsl.wrappers import fnirt fnirt('srf', 'ref', 'out', submit=True) fnirt('srf', 'ref', 'out', submit={'queue' : 'long.q', 'ram' : '4GB'}) See the :mod:`.fslsub` module for more details. Most of these wrapper functions strive to provide an interface which is as close as possible to the underlying command-line tool. Most functions use positional arguments for required options, and keyword arguments for all other options, with argument names equivalent to command line option names. For options where this is not possible (e.g. ``flirt -2D``),an alias is used instead. Aliases may also be used to provide a more readable interface (e.g. the :func:`.bet` function uses ``mask`` instead of ``m``). One exception to the above is :class:`.fslmaths`, which provides a more object-oriented interface:: from fsl.wrappers import fslmaths fslmaths('image.nii').mas('mask.nii').bin().run('output.nii') Wrapper functions for commands which accept NIfTI image or numeric text files will for the most part accept either in-memory ``nibabel`` images/Numpy arrays or file names as inputs. For commands which produce image or numeric text file outputs, the special :data:`.LOAD` value can be used to indicate that the file should be loaded and returned in-memory from the wrapper function. For example, if we want to FLIRT two images and get the result, we can do this:: import nibabel as nib from fsl.wrappers import flirt, LOAD src = nib.load('src.nii') ref = nib.load('ref.nii') init = np.eye(4) aligned = flirt(src, ref, init=init, out=LOAD)['out'] Similarly, we can run a ``fslmaths`` command on in-memory images:: import nibabel as nib from fsl.wrappers import fslmaths, LOAD image = nib.load('image.nii') mask = nib.load('mask.nii') output = fslmaths(image).mas(mask).bin().run(LOAD) If you are *writing* wrapper functions, take a look at the :mod:`.wrapperutils` module - it contains several useful functions and decorators. """ from .wrapperutils import (LOAD,) # noqa from .bet import (bet, # noqa robustfov) from .eddy import (eddy_cuda, # noqa topup) from .fast import (fast,) # noqa from .flirt import (flirt, # noqa invxfm, applyxfm, concatxfm, mcflirt) from .fnirt import (fnirt, # noqa applywarp, invwarp, convertwarp) from .fslmaths import (fslmaths,) # noqa from .fugue import (fugue, # noqa sigloss) from .melodic import (melodic, # noqa fsl_regfilt) from .misc import (fslreorient2std, # noqa fslroi, slicer, cluster)