Merge pull request #26405 from kaingwade:rename_features2d

Rename features2d #26405

This PR renames the module _features2d_ to _features_ as one of the Big OpenCV Cleanup #25007. 
Related PR: opencv/opencv_contrib: [#3820](https://github.com/opencv/opencv_contrib/pull/3820) opencv/ci-gha-workflow: [#192](https://github.com/opencv/ci-gha-workflow/pull/192)

doc/py_tutorials/py_features/py_orb/py_orb.markdown

@@ -52,7 +52,7 @@ choice in low-power devices for panorama stitching etc.
 ORB in OpenCV
 -------------
 
-As usual, we have to create an ORB object with the function, **cv.ORB()** or using feature2d common
+As usual, we have to create an ORB object with the function, **cv.ORB()** or using features common
 interface. It has a number of optional parameters. Most useful ones are nFeatures which denotes
 maximum number of features to be retained (by default 500), scoreType which denotes whether Harris
 score or FAST score to rank the features (by default, Harris score) etc. Another parameter, WTA_K

doc/py_tutorials/py_features/py_table_of_contents_features.markdown

@@ -1,4 +1,4 @@
-Feature Detection and Description {#tutorial_py_table_of_contents_feature2d}
+Feature Detection and Description {#tutorial_py_table_of_contents_features}
 =================================
 
 -   @subpage tutorial_py_features_meaning

doc/py_tutorials/py_tutorials.markdown

@@ -20,7 +20,7 @@ OpenCV-Python Tutorials {#tutorial_py_root}
     In this section
     you will learn different image processing functions inside OpenCV.
 
--   @subpage tutorial_py_table_of_contents_feature2d
+-   @subpage tutorial_py_table_of_contents_features
 
     In this section
     you will learn about feature detectors and descriptors