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Merge pull request #6365 from terfendail:vt/nonlocal_testdata

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Alexander Alekhin 2016-04-05 15:25:15 +00:00
commit c7b6353a3c
2 changed files with 1 additions and 94 deletions
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17
modules/python/test/test2.py
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@ -8,22 +8,7 @@ import numpy as np
import cv2
import cv2.cv as cv
class NewOpenCVTests(unittest.TestCase):
def get_sample(self, filename, iscolor = cv.CV_LOAD_IMAGE_COLOR):
if not filename in self.image_cache:
filedata = urllib2.urlopen("https://raw.github.com/Itseez/opencv/2.4/" + filename).read()
image = cv2.imdecode(np.fromstring(filedata, dtype=np.uint8), iscolor)
self.assertFalse(image is None)
self.image_cache[filename] = image
return self.image_cache[filename]
def setUp(self):
self.image_cache = {}
def hashimg(self, im):
""" Compute a hash for an image, useful for image comparisons """
return hashlib.md5(im.tostring()).digest()
from tests_common import NewOpenCVTests
# Tests to run first; check the handful of basic operations that the later tests rely on

78
modules/python/test/ticket_6.py
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@ -1,78 +0,0 @@
#!/usr/bin/env python
import urllib
import cv2.cv as cv
import Image
import unittest
class TestLoadImage(unittest.TestCase):
def setUp(self):
open("large.jpg", "w").write(urllib.urlopen("http://www.cs.ubc.ca/labs/lci/curious_george/img/ROS_bug_imgs/IMG_3560.jpg").read())
def test_load(self):
pilim = Image.open("large.jpg")
cvim = cv.LoadImage("large.jpg")
self.assert_(len(pilim.tostring()) == len(cvim.tostring()))
class Creating(unittest.TestCase):
size=(640, 480)
repeat=100
def test_0_Create(self):
image = cv.CreateImage(self.size, cv.IPL_DEPTH_8U, 1)
cnt=cv.CountNonZero(image)
self.assertEqual(cnt, 0, msg="Created image is not black. CountNonZero=%i" % cnt)
def test_2_CreateRepeat(self):
cnt=0
for i in range(self.repeat):
image = cv.CreateImage(self.size, cv.IPL_DEPTH_8U, 1)
cnt+=cv.CountNonZero(image)
self.assertEqual(cnt, 0, msg="Created images are not black. Mean CountNonZero=%.3f" % (1.*cnt/self.repeat))
def test_2a_MemCreated(self):
cnt=0
v=[]
for i in range(self.repeat):
image = cv.CreateImage(self.size, cv.IPL_DEPTH_8U, 1)
cv.FillPoly(image, [[(0, 0), (0, 100), (100, 0)]], 0)
cnt+=cv.CountNonZero(image)
v.append(image)
self.assertEqual(cnt, 0, msg="Memorized images are not black. Mean CountNonZero=%.3f" % (1.*cnt/self.repeat))
def test_3_tostirng(self):
image = cv.CreateImage(self.size, cv.IPL_DEPTH_8U, 1)
image.tostring()
cnt=cv.CountNonZero(image)
self.assertEqual(cnt, 0, msg="After tostring(): CountNonZero=%i" % cnt)
def test_40_tostringRepeat(self):
cnt=0
image = cv.CreateImage(self.size, cv.IPL_DEPTH_8U, 1)
cv.Set(image, cv.Scalar(0,0,0,0))
for i in range(self.repeat*100):
image.tostring()
cnt=cv.CountNonZero(image)
self.assertEqual(cnt, 0, msg="Repeating tostring(): Mean CountNonZero=%.3f" % (1.*cnt/self.repeat))
def test_41_CreateToStringRepeat(self):
cnt=0
for i in range(self.repeat*100):
image = cv.CreateImage(self.size, cv.IPL_DEPTH_8U, 1)
cv.Set(image, cv.Scalar(0,0,0,0))
image.tostring()
cnt+=cv.CountNonZero(image)
self.assertEqual(cnt, 0, msg="Repeating create and tostring(): Mean CountNonZero=%.3f" % (1.*cnt/self.repeat))
def test_4a_MemCreatedToString(self):
cnt=0
v=[]
for i in range(self.repeat):
image = cv.CreateImage(self.size, cv.IPL_DEPTH_8U, 1)
cv.Set(image, cv.Scalar(0,0,0,0))
image.tostring()
cnt+=cv.CountNonZero(image)
v.append(image)
self.assertEqual(cnt, 0, msg="Repeating and memorizing after tostring(): Mean CountNonZero=%.3f" % (1.*cnt/self.repeat))
if __name__ == '__main__':
unittest.main()