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from tempfile import TemporaryDirectory , TemporaryFile
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import numpy as np
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- import PIL
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+ from PIL import Image
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import matplotlib as mpl
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from matplotlib import cbook
@@ -391,8 +391,8 @@ def compare_images(expected, actual, tol, in_decorator=False):
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expected = convert (expected , cache = True )
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# open the image files and remove the alpha channel (if it exists)
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- expected_image = np .asarray (PIL . Image .open (expected ).convert ("RGB" ))
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- actual_image = np .asarray (PIL . Image .open (actual ).convert ("RGB" ))
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+ expected_image = np .asarray (Image .open (expected ).convert ("RGB" ))
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+ actual_image = np .asarray (Image .open (actual ).convert ("RGB" ))
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actual_image , expected_image = crop_to_same (
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actual , actual_image , expected , expected_image )
@@ -442,8 +442,8 @@ def save_diff_image(expected, actual, output):
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File path to save difference image to.
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"""
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# Drop alpha channels, similarly to compare_images.
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- expected_image = np .asarray (PIL . Image .open (expected ).convert ("RGB" ))
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- actual_image = np .asarray (PIL . Image .open (actual ).convert ("RGB" ))
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+ expected_image = np .asarray (Image .open (expected ).convert ("RGB" ))
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+ actual_image = np .asarray (Image .open (actual ).convert ("RGB" ))
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actual_image , expected_image = crop_to_same (
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actual , actual_image , expected , expected_image )
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expected_image = np .array (expected_image ).astype (float )
@@ -469,4 +469,4 @@ def save_diff_image(expected, actual, output):
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# Hard-code the alpha channel to fully solid
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save_image_np [:, :, 3 ] = 255
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- PIL . Image .fromarray (save_image_np ).save (output , format = "png" )
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+ Image .fromarray (save_image_np ).save (output , format = "png" )
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