Source code for niworkflows.cli.boldref
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright 2021 The NiPreps Developers <nipreps@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""Run the BOLD reference+mask workflow"""
import os
[docs]
def get_parser():
"""Build parser object."""
from argparse import ArgumentParser, RawDescriptionHelpFormatter, RawTextHelpFormatter
parser = ArgumentParser(
description="""NiWorkflows Utilities""", formatter_class=RawTextHelpFormatter
)
subparsers = parser.add_subparsers(dest='command')
be_parser = subparsers.add_parser(
'brain-extract',
formatter_class=RawDescriptionHelpFormatter,
description="""Execute brain extraction and related operations (e.g., \
intensity nonuniformity correction, robust averaging, etc.)""",
)
be_parser.add_argument('input_file', action='store', help='the input file')
be_parser.add_argument('out_path', action='store', help='the output directory')
be_parser.add_argument(
'--modality',
'-m',
action='store',
choices=('bold', 't1w'),
default='bold',
help='the input file',
)
parser.add_argument(
'--omp-nthreads',
action='store',
type=int,
default=os.cpu_count(),
help='Number of CPUs available to individual processes',
)
parser.add_argument(
'--nprocs',
action='store',
type=int,
default=os.cpu_count(),
help='Number of processes that may run in parallel',
)
return parser
[docs]
def main(args=None):
"""Entry point."""
from nipype.utils.filemanip import hash_infile
from ..func.util import init_bold_reference_wf
opts = get_parser().parse_args(args=args)
wf = init_bold_reference_wf(
opts.omp_nthreads,
gen_report=True,
name=hash_infile(opts.input_file),
)
wf.inputs.inputnode.bold_file = opts.input_file
wf.base_dir = os.getcwd()
plugin = {
'plugin': 'MultiProc',
'plugin_args': {'nprocs': opts.nprocs},
}
if opts.nprocs < 2:
plugin = {'plugin': 'Linear'}
wf.run(**plugin)
if __name__ == '__main__':
from sys import argv
main(args=argv[1:])