migration: github.com/opencv/opencv

samples/python/digits.py

@@ -71,7 +71,7 @@ def deskew(img):
 
 class StatModel(object):
     def load(self, fn):
-        self.model.load(fn)  # Known bug: https://github.com/Itseez/opencv/issues/4969
+        self.model.load(fn)  # Known bug: https://github.com/opencv/opencv/issues/4969
     def save(self, fn):
         self.model.save(fn)
 

samples/python/digits_video.py

@@ -32,7 +32,7 @@ def main():
         model = cv2.ml.SVM_load(classifier_fn)
     else:
         model = cv2.ml.SVM_create()
-        model.load_(classifier_fn) #Known bug: https://github.com/Itseez/opencv/issues/4969
+        model.load_(classifier_fn) #Known bug: https://github.com/opencv/opencv/issues/4969
 
     while True:
         ret, frame = cap.read()

samples/python/find_obj.py

@@ -3,7 +3,7 @@
 '''
 Feature-based image matching sample.
 
-Note, that you will need the https://github.com/Itseez/opencv_contrib repo for SIFT and SURF
+Note, that you will need the https://github.com/opencv/opencv_contrib repo for SIFT and SURF
 
 USAGE
   find_obj.py [--feature=<sift|surf|orb|akaze|brisk>[-flann]] [ <image1> <image2> ]

samples/python/gaussian_mix.py

@@ -50,7 +50,7 @@ if __name__ == '__main__':
         em.setCovarianceMatrixType(cv2.ml.EM_COV_MAT_GENERIC)
         em.trainEM(points)
         means = em.getMeans()
-        covs = em.getCovs()  # Known bug: https://github.com/Itseez/opencv/pull/4232
+        covs = em.getCovs()  # Known bug: https://github.com/opencv/opencv/pull/4232
         found_distrs = zip(means, covs)
         print('ready!\n')
 

samples/python/video_v4l2.py

@@ -27,7 +27,7 @@ font = cv2.FONT_HERSHEY_SIMPLEX
 color = (0, 255, 0)
 
 cap = cv2.VideoCapture(0)
-cap.set(cv2.CAP_PROP_AUTOFOCUS, False)  # Known bug: https://github.com/Itseez/opencv/pull/5474
+cap.set(cv2.CAP_PROP_AUTOFOCUS, False)  # Known bug: https://github.com/opencv/opencv/pull/5474
 
 cv2.namedWindow("Video")