In [1]:

    

from nilearn import plotting
from nilearn.image import resample_img
import nibabel as nib


    

In [2]:

    

img = nib.load('/Users/greg/Downloads/gkbrain.nii.gz')
print(img.shape)
dat = img.get_fdata()
dat = dat[0::2, 0::2, 0::2]

aff = img.affine
aff[0:3,0:3] *= 2

img = nib.Nifti1Image(dat, aff, img.header)
print(img.shape)


    

    




(256, 256, 256)
(128, 128, 128)

In [3]:

    

html_view = plotting.view_img(img, bg_img=False, draw_cross=True, colorbar=False,
                              symmetric_cmap=False, cmap="twilight_r", black_bg=False,)
html_view
# html_view.save_as_html('gkbrain.html')


    

    
Out[3]: