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Corrected indentation and spacing.

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Horea Christian
2013-06-28 01:25:13 +02:00
parent 45d960d64f
commit 8367542a20
1 changed files with 6 additions and 6 deletions
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skimage/util/montage.py
+6 -6
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@@ -1,12 +1,12 @@
__all__ = ['montage2d']
import numpy as np
#~ from .. import exposure
from .. import exposure
EPSILON = 1e-6
def montage2d(arr_in, fill='mean', rescale_intensity=False, output_shape=(0,0)):
def montage2d(arr_in, fill='mean', rescale_intensity=False, output_shape=(0, 0)):
"""Create a 2-dimensional 'montage' from a 3-dimensional input array
representing an ensemble of equally shaped 2-dimensional images.
@@ -33,11 +33,11 @@ def montage2d(arr_in, fill='mean', rescale_intensity=False, output_shape=(0,0)):
of equal shape (i.e. [height, width]).
fill: float or 'mean', optional
How to fill the 2-dimensional output array when sqrt(n_images)
is not an integer. If 'mean' is chosen, then fill = arr_in.mean().
How to fill the 2-dimensional output array when sqrt(n_images)
is not an integer. If 'mean' is chosen, then fill = arr_in.mean().
rescale_intensity: bool, optional
Whether to rescale the intensity of each image to [0, 1].
Whether to rescale the intensity of each image to [0, 1].
output_shape: tuple, optional
The desired aspect ratio for the montage (default is square).
@@ -83,7 +83,7 @@ def montage2d(arr_in, fill='mean', rescale_intensity=False, output_shape=(0,0)):
arr_in[i] = exposure.rescale_intensity(arr_in[i])
# -- determine alpha
if output_shape == (0,0):
if output_shape == (0, 0):
alpha_y = alpha_x = int(np.ceil(np.sqrt(n_images)))
else:
alpha_y = output_shape[0]