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Apply multiple transformations to list of 2-D images#

from scipy.ndimage import median_filter, sobel
from skimage.filters import gaussian
import seaborn_image as isns
pl = isns.load_image("fluorescence")
polymer = isns.load_image("polymer")
map_func = [gaussian, median_filter, sobel]
map_func_kw = [{"sigma": 1.5}, {"size": 10}, None]
g = isns.ImageGrid(
[pl, polymer],
map_func=map_func,
map_func_kw=map_func_kw,
col_wrap=2,
cmap="inferno",
)
Total running time of the script: ( 0 minutes 0.724 seconds)