Added images necessary for tests

modules/python/test/test_calibration.py

@@ -21,9 +21,9 @@ class calibration_test(NewOpenCVTests):
         img_names = []
         for i in range(1, 15):
             if i < 10:
-                img_names.append('samples/data/left0{}.jpg'.format(str(i)))
+                img_names.append('samples/cpp/left0{}.jpg'.format(str(i)))
             elif i != 10:
-                img_names.append('samples/data/left{}.jpg'.format(str(i)))
+                img_names.append('samples/cpp/left{}.jpg'.format(str(i)))
 
         square_size = 1.0
         pattern_size = (9, 6)

modules/python/test/test_camshift.py

@@ -39,7 +39,7 @@ class camshift_test(NewOpenCVTests):
 
     def prepareRender(self):
 
-        self.render = TestSceneRender(self.get_sample('samples/data/pca_test1.jpg'), deformation = True)
+        self.render = TestSceneRender(self.get_sample('samples/python2/data/pca_test1.jpg'), deformation = True)
 
     def runTracker(self):
 

modules/python/test/test_dft.py

@@ -16,7 +16,7 @@ from tests_common import NewOpenCVTests
 class dft_test(NewOpenCVTests):
     def test_dft(self):
 
-        img = self.get_sample('samples/data/rubberwhale1.png', 0)
+        img = self.get_sample('samples/gpu/rubberwhale1.png', 0)
         eps = 0.001
 
         #test direct transform

modules/python/test/test_digits.py

@@ -36,7 +36,7 @@ from numpy.linalg import norm
 
 SZ = 20 # size of each digit is SZ x SZ
 CLASS_N = 10
-DIGITS_FN = 'samples/data/digits.png'
+DIGITS_FN = 'samples/python2/data/digits.png'
 
 def split2d(img, cell_size, flatten=True):
     h, w = img.shape[:2]

modules/python/test/test_facedetect.py

@@ -31,7 +31,7 @@ class facedetect_test(NewOpenCVTests):
         cascade = cv2.CascadeClassifier(cascade_fn)
         nested = cv2.CascadeClassifier(nested_fn)
 
-        samples = ['samples/data/lena.jpg', 'cv/cascadeandhog/images/mona-lisa.png']
+        samples = ['samples/c/lena.jpg', 'cv/cascadeandhog/images/mona-lisa.png']
 
         faces = []
         eyes = []

modules/python/test/test_feature_homography.py

@@ -42,8 +42,8 @@ class feature_homography_test(NewOpenCVTests):
 
     def test_feature_homography(self):
 
-        self.render = TestSceneRender(self.get_sample('samples/data/graf1.png'),
-            self.get_sample('samples/data/box.png'), noise = 0.4, speed = 0.5)
+        self.render = TestSceneRender(self.get_sample('samples/python2/data/graf1.png'),
+            self.get_sample('samples/c/box.png'), noise = 0.4, speed = 0.5)
         self.frame = self.render.getNextFrame()
         self.tracker = PlaneTracker()
         self.tracker.clear()

modules/python/test/test_houghcircles.py

@@ -39,7 +39,7 @@ class houghcircles_test(NewOpenCVTests):
 
     def test_houghcircles(self):
 
-        fn = "samples/data/board.jpg"
+        fn = "samples/cpp/board.jpg"
 
         src = self.get_sample(fn, 1)
         img = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)

modules/python/test/test_houghlines.py

@@ -26,7 +26,7 @@ class houghlines_test(NewOpenCVTests):
 
     def test_houghlines(self):
 
-        fn = "/samples/data/pic1.png"
+        fn = "/samples/cpp/pic1.png"
 
         src = self.get_sample(fn)
         dst = cv2.Canny(src, 50, 200)

modules/python/test/test_letter_recog.py

@@ -150,7 +150,7 @@ class letter_recog_test(NewOpenCVTests):
             Model = models[model]
             classifier = Model()
 
-            samples, responses = load_base(self.repoPath + '/samples/data/letter-recognition.data')
+            samples, responses = load_base(self.repoPath + '/samples/cpp/letter-recognition.data')
             train_n = int(len(samples)*classifier.train_ratio)
 
             classifier.train(samples[:train_n], responses[:train_n])

modules/python/test/test_lk_homography.py

@@ -44,8 +44,8 @@ class lk_homography_test(NewOpenCVTests):
     numFeaturesInRectOnStart = 0
 
     def test_lk_homography(self):
-        self.render = TestSceneRender(self.get_sample('samples/data/graf1.png'),
-            self.get_sample('samples/data/box.png'), noise = 0.1, speed = 1.0)
+        self.render = TestSceneRender(self.get_sample('samples/python2/data/graf1.png'),
+            self.get_sample('samples/c/box.png'), noise = 0.1, speed = 1.0)
 
         frame = self.render.getNextFrame()
         frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

modules/python/test/test_lk_track.py

@@ -50,7 +50,7 @@ class lk_track_test(NewOpenCVTests):
 
     def test_lk_track(self):
 
-        self.render = TestSceneRender(self.get_sample('samples/data/graf1.png'), self.get_sample('samples/data/box.png'))
+        self.render = TestSceneRender(self.get_sample('samples/python2/data/graf1.png'), self.get_sample('samples/c/box.png'))
         self.runTracker()
 
     def runTracker(self):

modules/python/test/test_morphology.py

@@ -18,7 +18,7 @@ class morphology_test(NewOpenCVTests):
 
     def test_morphology(self):
 
-        fn = 'samples/data/rubberwhale1.png'
+        fn = 'samples/gpu/rubberwhale1.png'
         img = self.get_sample(fn)
 
         modes = ['erode/dilate', 'open/close', 'blackhat/tophat', 'gradient']

modules/python/test/test_peopledetect.py

@@ -24,7 +24,7 @@ class peopledetect_test(NewOpenCVTests):
         hog = cv2.HOGDescriptor()
         hog.setSVMDetector( cv2.HOGDescriptor_getDefaultPeopleDetector() )
 
-        dirPath = 'samples/data/'
+        dirPath = 'samples/gpu/'
         samples = ['basketball1.png', 'basketball2.png']
 
         testPeople = [

modules/python/test/test_squares.py

@@ -61,7 +61,7 @@ class squares_test(NewOpenCVTests):
 
     def test_squares(self):
 
-        img = self.get_sample('samples/data/pic1.png')
+        img = self.get_sample('samples/cpp/pic1.png')
         squares = find_squares(img)
 
         testSquares = [

modules/python/test/test_texture_flow.py

@@ -21,7 +21,7 @@ class texture_flow_test(NewOpenCVTests):
 
     def test_texture_flow(self):
 
-        img = self.get_sample('samples/data/pic6.png')
+        img = self.get_sample('samples/cpp/pic6.png')
 
         gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
         h, w = img.shape[:2]

modules/python/test/tst_scene_render.py

@@ -100,20 +100,3 @@ class TestSceneRender():
 
     def resetTime(self):
         self.time = 0.0
-
-
-if __name__ == '__main__':
-
-    backGr = cv2.imread('../../../samples/data/lena.jpg')
-
-    render = TestSceneRender(backGr, noise = 0.5)
-
-    while True:
-
-        img = render.getNextFrame()
-        cv2.imshow('img', img)
-
-        ch = 0xFF & cv2.waitKey(3)
-        if  ch == 27:
-            break
-    cv2.destroyAllWindows()