Backport of new python tests from master branch(PR https://github.com/Itseez/opencv/pull/6025).

At the moment tests requre samples/data copied to source location from master branch.

modules/python/test/tests_common.py

@@ -0,0 +1,79 @@
+#!/usr/bin/env python
+
+from __future__ import print_function
+
+import unittest
+import sys
+import hashlib
+import os
+import numpy as np
+import cv2
+
+# Python 3 moved urlopen to urllib.requests
+try:
+    from urllib.request import urlopen
+except ImportError:
+    from urllib import urlopen
+
+class NewOpenCVTests(unittest.TestCase):
+
+    # path to local repository folder containing 'samples' folder
+    repoPath = None
+    extraTestDataPath = None
+    # github repository url
+    repoUrl = 'https://raw.github.com/Itseez/opencv/master'
+
+    def get_sample(self, filename, iscolor = cv2.IMREAD_COLOR):
+        if not filename in self.image_cache:
+            filedata = None
+            if NewOpenCVTests.repoPath is not None:
+                candidate = NewOpenCVTests.repoPath + '/' + filename
+                if os.path.isfile(candidate):
+                    with open(candidate, 'rb') as f:
+                        filedata = f.read()
+            if NewOpenCVTests.extraTestDataPath is not None:
+                candidate = NewOpenCVTests.extraTestDataPath + '/' + filename
+                if os.path.isfile(candidate):
+                    with open(candidate, 'rb') as f:
+                        filedata = f.read()
+            if filedata is None:
+                return None#filedata = urlopen(NewOpenCVTests.repoUrl + '/' + filename).read()
+            self.image_cache[filename] = cv2.imdecode(np.fromstring(filedata, dtype=np.uint8), iscolor)
+        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()).hexdigest()
+
+    if sys.version_info[:2] == (2, 6):
+        def assertLess(self, a, b, msg=None):
+            if not a < b:
+                self.fail('%s not less than %s' % (repr(a), repr(b)))
+
+        def assertLessEqual(self, a, b, msg=None):
+            if not a <= b:
+                self.fail('%s not less than or equal to %s' % (repr(a), repr(b)))
+
+        def assertGreater(self, a, b, msg=None):
+            if not a > b:
+                self.fail('%s not greater than %s' % (repr(a), repr(b)))
+
+def intersectionRate(s1, s2):
+
+    x1, y1, x2, y2 = s1
+    s1 = np.array([[x1, y1], [x2,y1], [x2, y2], [x1, y2]])
+
+    x1, y1, x2, y2 = s2
+    s2 = np.array([[x1, y1], [x2,y1], [x2, y2], [x1, y2]])
+
+    area, intersection = cv2.intersectConvexConvex(s1, s2)
+    return 2 * area / (cv2.contourArea(s1) + cv2.contourArea(s2))
+
+def isPointInRect(p, rect):
+    if rect[0] <= p[0] and rect[1] <=p[1] and p[0] <= rect[2] and p[1] <= rect[3]:
+        return True
+    else:
+        return False