change links from samples/python2 to samples/python

modules/core/include/opencv2/core.hpp

@@ -2035,9 +2035,9 @@ so you need to "flip" the second convolution operand B vertically and horizontal
 -   An example using the discrete fourier transform can be found at
     opencv_source_code/samples/cpp/dft.cpp
 -   (Python) An example using the dft functionality to perform Wiener deconvolution can be found
-    at opencv_source/samples/python2/deconvolution.py
+    at opencv_source/samples/python/deconvolution.py
 -   (Python) An example rearranging the quadrants of a Fourier image can be found at
-    opencv_source/samples/python2/dft.py
+    opencv_source/samples/python/dft.py
 @param src input array that could be real or complex.
 @param dst output array whose size and type depends on the flags .
 @param flags transformation flags, representing a combination of the cv::DftFlags
@@ -2848,7 +2848,7 @@ and groups the input samples around the clusters. As an output, \f$\texttt{label
 
 @note
 -   (Python) An example on K-means clustering can be found at
-    opencv_source_code/samples/python2/kmeans.py
+    opencv_source_code/samples/python/kmeans.py
 @param data Data for clustering. An array of N-Dimensional points with float coordinates is needed.
 Examples of this array can be:
 -   Mat points(count, 2, CV_32F);