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Better tests for ticket #759
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7
tests/python/leak1.py
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7
tests/python/leak1.py
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@ -0,0 +1,7 @@
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import 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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leak = np.random.random((480, 640)) * 255
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cv.ShowImage('Leak', leak.astype(np.uint8))
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cv.WaitKey(10)
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10
tests/python/leak2.py
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10
tests/python/leak2.py
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import cv
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import numpy as np
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import time
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while True:
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for i in range(4000):
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a = cv.CreateImage((1024,1024), cv.IPL_DEPTH_8U, 1)
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b = cv.CreateMat(1024, 1024, cv.CV_8UC1)
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# c = cv.CreateMatND([1024,1024], cv.CV_8UC1)
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print "pause..."
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@ -1,4 +1,3 @@
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import roslib; roslib.load_manifest('opencv2')
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import unittest
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import random
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import time
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@ -628,7 +627,7 @@ class FunctionTests(OpenCVTests):
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self.assertEqual(aslist(m2), range(5, 9))
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self.assertEqual(aslist(m3), range(6, 8))
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def test_grabCut(self):
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def xtest_grabCut(self):
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image = self.get_sample("samples/c/lena.jpg", cv.CV_LOAD_IMAGE_COLOR)
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tmp1 = cv.CreateMat(1, 13 * 5, cv.CV_32FC1)
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tmp2 = cv.CreateMat(1, 13 * 5, cv.CV_32FC1)
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@ -1008,9 +1007,9 @@ class AreaTests(OpenCVTests):
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def test_leak(self):
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""" If CreateImage is not releasing image storage, then the loop below should use ~4GB of memory. """
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for i in range(4000):
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for i in range(64000):
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a = cv.CreateImage((1024,1024), cv.IPL_DEPTH_8U, 1)
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for i in range(4000):
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for i in range(64000):
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a = cv.CreateMat(1024, 1024, cv.CV_8UC1)
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def test_histograms(self):
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