python(test): tests filtering

modules/python/test/test.py

 #!/usr/bin/env python
 
 from __future__ import print_function
-import unittest
-import random
-import time
-import math
-import sys
-import array
-import tarfile
-import hashlib
+
 import os
-import getopt
-import operator
-import functools
-import numpy as np
-import cv2
-import argparse
+import unittest
 
 # Python 3 moved urlopen to urllib.requests
 try:
@@ -25,7 +13,6 @@ except ImportError:
 
 from tests_common import NewOpenCVTests
 
-# Tests to run first; check the handful of basic operations that the later tests rely on
 
 basedir = os.path.abspath(os.path.dirname(__file__))
 
@@ -34,19 +21,4 @@ def load_tests(loader, tests, pattern):
     return tests
 
 if __name__ == '__main__':
-    parser = argparse.ArgumentParser(description='run OpenCV python tests')
-    parser.add_argument('--repo', help='use sample image files from local git repository (path to folder), '
-                                       'if not set, samples will be downloaded from github.com')
-    parser.add_argument('--data', help='<not used> use data files from local folder (path to folder), '
-                                        'if not set, data files will be downloaded from docs.opencv.org')
-    args, other = parser.parse_known_args()
-    print("Testing OpenCV", cv2.__version__)
-    print("Local repo path:", args.repo)
-    NewOpenCVTests.repoPath = args.repo
-    try:
-        NewOpenCVTests.extraTestDataPath = os.environ['OPENCV_TEST_DATA_PATH']
-    except KeyError:
-        print('Missing opencv extra repository. Some of tests may fail.')
-    random.seed(0)
-    unit_argv = [sys.argv[0]] + other
-    unittest.main(argv=unit_argv)
+    NewOpenCVTests.bootstrap()

modules/python/test/test_calibration.py

@@ -66,3 +66,8 @@ class calibration_test(NewOpenCVTests):
         self.assertLess(abs(rms - 0.196334638034), eps)
         self.assertLess(cv2.norm(camera_matrix - cameraMatrixTest, cv2.NORM_L1), normCamEps)
         self.assertLess(cv2.norm(dist_coefs - distCoeffsTest, cv2.NORM_L1), normDistEps)
+
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_camshift.py

@@ -89,4 +89,8 @@ class camshift_test(NewOpenCVTests):
 
     def test_camshift(self):
         self.prepareRender()
-        self.runTracker()
+        self.runTracker()
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_dft.py

@@ -43,4 +43,8 @@ class dft_test(NewOpenCVTests):
         img_backTest = cv2.normalize(img_backTest, 0.0, 1.0, cv2.NORM_MINMAX)
         img_back = cv2.normalize(img_back, 0.0, 1.0, cv2.NORM_MINMAX)
 
-        self.assertLess(cv2.norm(img_back - img_backTest), eps)
+        self.assertLess(cv2.norm(img_back - img_backTest), eps)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_digits.py

@@ -194,4 +194,8 @@ class digits_test(NewOpenCVTests):
         self.assertLess(cv2.norm(confusionMatrixes[1] - confusionSVM, cv2.NORM_L1), normEps)
 
         self.assertLess(errors[0] - 0.034, eps)
-        self.assertLess(errors[1] - 0.018, eps)
+        self.assertLess(errors[1] - 0.018, eps)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_facedetect.py

@@ -85,4 +85,8 @@ class facedetect_test(NewOpenCVTests):
                             eyes_matches += 1
 
         self.assertEqual(faces_matches, 2)
-        self.assertEqual(eyes_matches, 2)
+        self.assertEqual(eyes_matches, 2)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_feature_homography.py

@@ -157,4 +157,8 @@ class PlaneTracker:
         keypoints, descrs = self.detector.detectAndCompute(frame, None)
         if descrs is None:  # detectAndCompute returns descs=None if no keypoints found
             descrs = []
-        return keypoints, descrs
+        return keypoints, descrs
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_fitline.py

@@ -63,4 +63,8 @@ class fitline_test(NewOpenCVTests):
         refVec =  (np.float32(p1) - p0) / cv2.norm(np.float32(p1) - p0)
 
         for i in range(len(lines)):
-            self.assertLessEqual(cv2.norm(refVec - lines[i][0:2], cv2.NORM_L2), eps)
+            self.assertLessEqual(cv2.norm(refVec - lines[i][0:2], cv2.NORM_L2), eps)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_gaussian_mix.py

@@ -57,4 +57,8 @@ class gaussian_mix_test(NewOpenCVTests):
                     cv2.norm(covs[i] - ref_distrs[j][1], cv2.NORM_L2) / cv2.norm(ref_distrs[j][1], cv2.NORM_L2) < covEps):
                     matches_count += 1
 
-        self.assertEqual(matches_count, cluster_n)
+        self.assertEqual(matches_count, cluster_n)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_goodfeatures.py

@@ -33,4 +33,8 @@ class TestGoodFeaturesToTrack_test(NewOpenCVTests):
             self.assertTrue(len(r0) > len(r1))
             # Increasing thresh should monly truncate result list
             for i in range(len(r1)):
-                self.assertTrue(cv2.norm(r1[i][0] - r0[i][0])==0)
+                self.assertTrue(cv2.norm(r1[i][0] - r0[i][0])==0)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_grabcut.py

@@ -64,4 +64,8 @@ class grabcut_test(NewOpenCVTests):
             exp_mask2 = self.scaleMask(mask)
             cv2.imwrite(self.extraTestDataPath + '/cv/grabcut/exp_mask2py.png', exp_mask2)
 
-        self.assertEqual(self.verify(self.scaleMask(mask), exp_mask2), True)
+        self.assertEqual(self.verify(self.scaleMask(mask), exp_mask2), True)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_houghcircles.py

@@ -77,4 +77,8 @@ class houghcircles_test(NewOpenCVTests):
                     matches_counter += 1
 
         self.assertGreater(float(matches_counter) / len(testCircles), .5)
-        self.assertLess(float(len(circles) - matches_counter) / len(circles), .75)
+        self.assertLess(float(len(circles) - matches_counter) / len(circles), .75)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_houghlines.py

@@ -62,4 +62,8 @@ class houghlines_test(NewOpenCVTests):
                 if linesDiff(testLines[i], lines[j]) < eps:
                     matches_counter += 1
 
-        self.assertGreater(float(matches_counter) / len(testLines), .7)
+        self.assertGreater(float(matches_counter) / len(testLines), .7)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_kmeans.py

@@ -67,4 +67,8 @@ class kmeans_test(NewOpenCVTests):
         for i in range(cluster_n):
             confidence = getMainLabelConfidence(labels[offset : (offset + clusterSizes[i])], cluster_n)
             offset += clusterSizes[i]
-            self.assertGreater(confidence, 0.9)
+            self.assertGreater(confidence, 0.9)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_legacy.py

@@ -84,6 +84,6 @@ class Hackathon244Tests(NewOpenCVTests):
         self.check_close_pairs(mc, mc0, 5)
         self.assertLessEqual(abs(mr - mr0), 5)
 
+
 if __name__ == '__main__':
-    import unittest
-    unittest.main()
+    NewOpenCVTests.bootstrap()

modules/python/test/test_letter_recog.py

@@ -164,4 +164,8 @@ class letter_recog_test(NewOpenCVTests):
             test_rate  = np.mean(classifier.predict(samples[train_n:]) == responses[train_n:].astype(int))
 
             self.assertLess(train_rate - testErrors[Model][0], eps)
-            self.assertLess(test_rate - testErrors[Model][1], eps)
+            self.assertLess(test_rate - testErrors[Model][1], eps)
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_lk_homography.py

@@ -94,3 +94,7 @@ class lk_homography_test(NewOpenCVTests):
                 self.p0 = cv2.goodFeaturesToTrack(frame_gray, **feature_params)
 
         self.assertEqual(isForegroundHomographyFound, True)
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_lk_track.py

@@ -108,4 +108,8 @@ class lk_track_test(NewOpenCVTests):
             self.prev_gray = frame_gray
 
             if self.frame_idx > 300:
-                break
+                break
\ No newline at end of file
+
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_misc.py

@@ -19,5 +19,4 @@ class Bindings(NewOpenCVTests):
         boost.isClassifier() # from ml::StatModel
 
 if __name__ == '__main__':
-    import unittest
-    unittest.main()
+    NewOpenCVTests.bootstrap()

modules/python/test/test_morphology.py

@@ -48,4 +48,7 @@ class morphology_test(NewOpenCVTests):
 
         for mode in modes:
             res = update(mode)
-            self.assertEqual(self.hashimg(res), referenceHashes[mode])
+            self.assertEqual(self.hashimg(res), referenceHashes[mode])
\ No newline at end of file
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_mser.py

@@ -67,3 +67,6 @@ class mser_test(NewOpenCVTests):
             self.assertEqual(nmsers, len(boxes))
             self.assertLessEqual(minRegs, nmsers)
             self.assertGreaterEqual(maxRegs, nmsers)
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_peopledetect.py

@@ -59,4 +59,7 @@ class peopledetect_test(NewOpenCVTests):
                     if intersectionRate(found_rect, testPeople[j][0]) > eps or intersectionRate(found_rect, testPeople[j][1]) > eps:
                         matches += 1
 
-            self.assertGreater(matches, 0)
+            self.assertGreater(matches, 0)
\ No newline at end of file
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_shape.py

@@ -21,3 +21,6 @@ class shape_test(NewOpenCVTests):
 
         self.assertAlmostEqual(d1, 26.4196891785, 3, "HausdorffDistanceExtractor")
         self.assertAlmostEqual(d2, 0.25804194808, 3, "ShapeContextDistanceExtractor")
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_squares.py

@@ -93,4 +93,7 @@ class squares_test(NewOpenCVTests):
                     matches_counter += 1
 
         self.assertGreater(matches_counter / len(testSquares), 0.9)
-        self.assertLess( (len(squares) - matches_counter) / len(squares), 0.2)
+        self.assertLess( (len(squares) - matches_counter) / len(squares), 0.2)
\ No newline at end of file
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_stitching.py

@@ -18,3 +18,6 @@ class stitching_test(NewOpenCVTests):
 
         self.assertAlmostEqual(pano.shape[0], 685, delta=100, msg="rows: %r" % list(pano.shape))
         self.assertAlmostEqual(pano.shape[1], 1025, delta=100, msg="cols: %r" % list(pano.shape))
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_texture_flow.py

@@ -42,3 +42,6 @@ class texture_flow_test(NewOpenCVTests):
         for i in range(len(textureVectors)):
             self.assertTrue(cv2.norm(textureVectors[i], cv2.NORM_L2) < eps
             or abs(cv2.norm(textureVectors[i], cv2.NORM_L2) - d) < eps)
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/test_umat.py

@@ -83,5 +83,4 @@ class UMat(NewOpenCVTests):
         #         self.assertTrue(np.allclose(data, data_umat))
 
 if __name__ == '__main__':
-    import unittest
-    unittest.main()
+    NewOpenCVTests.bootstrap()

modules/python/test/test_watershed.py

@@ -30,4 +30,7 @@ class watershed_test(NewOpenCVTests):
             refSegments = segments.copy()
             cv2.imwrite(self.extraTestDataPath + '/cv/watershed/wshed_segments.png', refSegments)
 
-        self.assertLess(cv2.norm(segments - refSegments, cv2.NORM_L1) / 255.0, 50)
+        self.assertLess(cv2.norm(segments - refSegments, cv2.NORM_L1) / 255.0, 50)
\ No newline at end of file
+
+if __name__ == '__main__':
+    NewOpenCVTests.bootstrap()

modules/python/test/tests_common.py

@@ -2,10 +2,13 @@
 
 from __future__ import print_function
 
-import unittest
+import os
 import sys
+import unittest
 import hashlib
-import os
+import random
+import argparse
+
 import numpy as np
 import cv2
 
@@ -62,6 +65,26 @@ class NewOpenCVTests(unittest.TestCase):
             if not a > b:
                 self.fail('%s not greater than %s' % (repr(a), repr(b)))
 
+    @staticmethod
+    def bootstrap():
+        parser = argparse.ArgumentParser(description='run OpenCV python tests')
+        parser.add_argument('--repo', help='use sample image files from local git repository (path to folder), '
+                                           'if not set, samples will be downloaded from github.com')
+        parser.add_argument('--data', help='<not used> use data files from local folder (path to folder), '
+                                            'if not set, data files will be downloaded from docs.opencv.org')
+        args, other = parser.parse_known_args()
+        print("Testing OpenCV", cv2.__version__)
+        print("Local repo path:", args.repo)
+        NewOpenCVTests.repoPath = args.repo
+        try:
+            NewOpenCVTests.extraTestDataPath = os.environ['OPENCV_TEST_DATA_PATH']
+        except KeyError:
+            print('Missing opencv extra repository. Some of tests may fail.')
+        random.seed(0)
+        unit_argv = [sys.argv[0]] + other
+        unittest.main(argv=unit_argv)
+
+
 def intersectionRate(s1, s2):
 
     x1, y1, x2, y2 = s1