Added python branch to stitching tutorial.

doc/tutorials/others/stitcher.markdown

@@ -23,18 +23,36 @@ In this tutorial you will learn how to:
 
 Code
 ----
+@add_toggle_cpp
+This tutorial's code is shown in the lines below. You can download it from [here](https://github.com/opencv/opencv/tree/4.x/samples/cpp/stitching.cpp).
 
-This tutorial code's is shown lines below. You can also download it from
+Note: The C++ version includes additional options such as image division (--d3) and more detailed error handling, which are not present in the Python example.
-[here](https://github.com/opencv/opencv/tree/4.x/samples/cpp/stitching.cpp).
 
 @include samples/cpp/stitching.cpp
 
+@end_toggle
+
+@add_toggle_python
+This tutorial's code is shown in the lines below. You can download it from [here](https://github.com/opencv/opencv/blob/4.x/samples/python/stitching.py).
+
+Note: The C++ version includes additional options such as image division (--d3) and more detailed error handling, which are not present in the Python example.
+
+@include samples/python/stitching.py
+
+@end_toggle
+
 Explanation
 -----------
 
 The most important code part is:
 
+@add_toggle_cpp
 @snippet cpp/stitching.cpp stitching
+@end_toggle
+
+@add_toggle_python
+@snippet python/stitching.py stitching
+@end_toggle
 
 A new instance of stitcher is created and the @ref cv::Stitcher::stitch will
 do all the hard work.

samples/python/stitching.py

@@ -43,12 +43,14 @@ def main():
             sys.exit(-1)
         imgs.append(img)
 
+    #![stitching]
     stitcher = cv.Stitcher.create(args.mode)
     status, pano = stitcher.stitch(imgs)
 
     if status != cv.Stitcher_OK:
         print("Can't stitch images, error code = %d" % status)
         sys.exit(-1)
+    #![stitching]
 
     cv.imwrite(args.output, pano)
     print("stitching completed successfully. %s saved!" % args.output)