mirror of
https://github.com/opencv/opencv.git
synced 2024-12-17 10:58:00 +08:00
79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
#!/usr/bin/env python
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from __future__ import print_function
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import unittest
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import sys
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import hashlib
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import os
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import numpy as np
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import cv2
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# Python 3 moved urlopen to urllib.requests
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try:
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from urllib.request import urlopen
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except ImportError:
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from urllib import urlopen
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class NewOpenCVTests(unittest.TestCase):
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# path to local repository folder containing 'samples' folder
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repoPath = None
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extraTestDataPath = None
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# github repository url
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repoUrl = 'https://raw.github.com/Itseez/opencv/master'
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def get_sample(self, filename, iscolor = cv2.IMREAD_COLOR):
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if not filename in self.image_cache:
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filedata = None
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if NewOpenCVTests.repoPath is not None:
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candidate = NewOpenCVTests.repoPath + '/' + filename
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if os.path.isfile(candidate):
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with open(candidate, 'rb') as f:
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filedata = f.read()
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if NewOpenCVTests.extraTestDataPath is not None:
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candidate = NewOpenCVTests.extraTestDataPath + '/' + filename
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if os.path.isfile(candidate):
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with open(candidate, 'rb') as f:
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filedata = f.read()
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if filedata is None:
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return None#filedata = urlopen(NewOpenCVTests.repoUrl + '/' + 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()).hexdigest()
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if sys.version_info[:2] == (2, 6):
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def assertLess(self, a, b, msg=None):
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if not a < b:
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self.fail('%s not less than %s' % (repr(a), repr(b)))
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def assertLessEqual(self, a, b, msg=None):
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if not a <= b:
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self.fail('%s not less than or equal to %s' % (repr(a), repr(b)))
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def assertGreater(self, a, b, msg=None):
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if not a > b:
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self.fail('%s not greater than %s' % (repr(a), repr(b)))
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def intersectionRate(s1, s2):
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x1, y1, x2, y2 = s1
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s1 = np.array([[x1, y1], [x2,y1], [x2, y2], [x1, y2]])
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x1, y1, x2, y2 = s2
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s2 = np.array([[x1, y1], [x2,y1], [x2, y2], [x1, y2]])
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area, intersection = cv2.intersectConvexConvex(s1, s2)
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return 2 * area / (cv2.contourArea(s1) + cv2.contourArea(s2))
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def isPointInRect(p, rect):
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if rect[0] <= p[0] and rect[1] <=p[1] and p[0] <= rect[2] and p[1] <= rect[3]:
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return True
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else:
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return False |