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Open Source Computer Vision Library
https://opencv.org/
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50 lines
1.3 KiB
50 lines
1.3 KiB
12 years ago
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#/usr/bin/env python
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import unittest
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import random
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import time
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import math
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import sys
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import array
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import urllib
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import tarfile
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import hashlib
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import os
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import getopt
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import operator
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import functools
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import numpy as np
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import cv2
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import cv2.cv as cv
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class NewOpenCVTests(unittest.TestCase):
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def get_sample(self, filename, iscolor = cv.CV_LOAD_IMAGE_COLOR):
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if not filename in self.image_cache:
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filedata = urllib.urlopen("https://raw.github.com/Itseez/opencv/master/" + filename).read()
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self.image_cache[filename] = cv2.imdecode(np.fromstring(filedata, dtype=np.uint8), iscolor)
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return self.image_cache[filename]
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def setUp(self):
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self.image_cache = {}
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def hashimg(self, im):
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""" Compute a hash for an image, useful for image comparisons """
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return hashlib.md5(im.tostring()).digest()
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# Tests to run first; check the handful of basic operations that the later tests rely on
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class Hackathon244Tests(NewOpenCVTests):
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def test_int_array(self):
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a = np.array([-1, 2, -3, 4, -5])
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absa0 = np.abs(a)
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self.assert_(cv2.norm(a, cv2.NORM_L1) == 15)
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absa1 = cv2.absdiff(a, 0)
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self.assert_(cv2.norm(absa1, absa0, cv2.NORM_INF) == 0)
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if __name__ == '__main__':
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print "testing", cv.__version__
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random.seed(0)
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unittest.main()
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