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# TODO in fmri.warp (and other places).
# I already tried this, but there is something that FSL does that Nilearn doesn't:
# When I look at the results in fslview the contrast is better with FSL,
# with Nilearn the image is very dark.
# smooth = setup_node(Function(function=smooth_img,
# input_names=["in_file", "fwhm"],
# output_names=["out_file"],
# imports=['from pypes.interfaces.nilearn import ni2file']),
# name="smooth_fmri")
# smooth.inputs.fwhm = get_config_setting('fmri_smooth.fwhm', default=8)
# smooth.inputs.out_file = "smooth_{}.nii.gz".format(wf_name)
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The text was updated successfully, but these errors were encountered: