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nD multiscale image non-uniform¶
Displays an nD multiscale image
multiscale level shapes: [(6, 1536, 1536, 3), (6, 768, 768, 3), (6, 384, 384, 3), (6, 192, 192, 3)]
import numpy as np
from skimage import data
from skimage.transform import pyramid_gaussian
import napari
# create multiscale from astronaut image
astronaut = data.astronaut()
base = np.tile(astronaut, (3, 3, 1))
multiscale = list(
pyramid_gaussian(base, downscale=2, max_layer=3, channel_axis=-1)
)
multiscale = [
np.array([p * (abs(3 - i) + 1) / 4 for i in range(6)]) for p in multiscale
]
print('multiscale level shapes: ', [p.shape for p in multiscale])
# add image multiscale
viewer = napari.view_image(multiscale, multiscale=True)
if __name__ == '__main__':
napari.run()