python: 'cv2.' -> 'cv.' via 'import cv2 as cv'
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@@ -1,6 +1,6 @@
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from __future__ import print_function
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import numpy as np
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import cv2
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import cv2 as cv
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from cv2 import dnn
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import timeit
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@@ -11,7 +11,7 @@ def get_class_list():
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with open('synset_words.txt', 'rt') as f:
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return [x[x.find(" ") + 1:] for x in f]
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blob = dnn.blobFromImage(cv2.imread('space_shuttle.jpg'), 1, (224, 224), (104, 117, 123), False)
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blob = dnn.blobFromImage(cv.imread('space_shuttle.jpg'), 1, (224, 224), (104, 117, 123), False)
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print("Input:", blob.shape, blob.dtype)
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net = dnn.readNetFromCaffe('bvlc_googlenet.prototxt', 'bvlc_googlenet.caffemodel')
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