embeded cv Python module into cv2.
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@@ -1,7 +1,7 @@
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# Calculating and displaying 2D Hue-Saturation histogram of a color image
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import sys
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import cv
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import cv2.cv as cv
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def hs_histogram(src):
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# Convert to HSV
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@@ -5,7 +5,7 @@ import random
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import numpy
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import transformations
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import cv
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import cv2.cv as cv
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def clamp(a, x, b):
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return numpy.maximum(a, numpy.minimum(x, b))
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@@ -1,5 +1,5 @@
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import sys
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import cv
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import cv2.cv as cv
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def findstereocorrespondence(image_left, image_right):
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# image_left and image_right are the input 8-bit single-channel images
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@@ -1,4 +1,4 @@
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import cv
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import cv2.cv as cv
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import unittest
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class TestGoodFeaturesToTrack(unittest.TestCase):
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@@ -1,4 +1,4 @@
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import cv
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import cv2.cv as cv
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import numpy as np
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cv.NamedWindow('Leak')
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while 1:
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@@ -1,4 +1,4 @@
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import cv
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import cv2.cv as cv
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import numpy as np
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import time
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@@ -1,4 +1,4 @@
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import cv
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import cv2.cv as cv
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import math
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import time
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@@ -1,4 +1,4 @@
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import cv
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import cv2.cv as cv
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import math
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import time
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@@ -1,4 +1,4 @@
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import cv
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import cv2.cv as cv
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def precornerdetect(image):
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# assume that the image is floating-point
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@@ -12,7 +12,7 @@ import getopt
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import operator
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import functools
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import cv
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import cv2.cv as cv
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class OpenCVTests(unittest.TestCase):
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@@ -1,5 +1,5 @@
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import urllib
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import cv
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import cv2.cv as cv
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import Image
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import unittest
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@@ -6,7 +6,7 @@ import sys
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import array
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import os
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import cv
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import cv2.cv as cv
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def find_sample(s):
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for d in ["../samples/c/", "../doc/pics/"]:
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