mne.scale_bem#
- mne.scale_bem(subject_to, bem_name, subject_from=None, scale=None, subjects_dir=None, *, on_defects='raise', verbose=None)[source]#
Scale a bem file.
- Parameters
- subject_to
str Name of the scaled MRI subject (the destination mri subject).
- bem_name
str Name of the bem file. For example, to scale
fsaverage-inner_skull-bem.fif, the bem_name would be “inner_skull-bem”.- subject_from
None|str The subject from which to read the source space. If None, subject_from is read from subject_to’s config file.
- scale
None|float|array, shape = (3,) Scaling factor. Has to be specified if subjects_from is specified, otherwise it is read from subject_to’s config file.
- subjects_dir
None|str Override the SUBJECTS_DIR environment variable.
- on_defects‘raise’ | ‘warn’ | ‘ignore’
What to do if the surface is found to have topological defects. Can be
'raise'(default) to raise an error,'warn'to emit a warning, or'ignore'to ignore when one or more defects are found. Note that a lot of computations in MNE-Python assume the surfaces to be topologically correct, topological defects may still make other computations (e.g.,mne.make_bem_modelandmne.make_bem_solution) fail irrespective of this parameter.New in version 1.0.
- verbosebool |
str|int|None Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation andmne.verbose()for details. Should only be passed as a keyword argument.
- subject_to