###  Critical bugs fixed:
- `seam_finder.find()` returns None and overwrites `masks_warped`
- `indices` is only 1-dimensional

### Nice-to-have bugs fixed:
- avoid invalid value in sqrt and subsequent runtime warning
- avoid printing help string on each run (use argparse builtin behavior)

### New features:
- added graphcut seam finder support

### Test Summary:
Tested on Ubuntu 20.04 with python 3.8.10 and opencv-python-contrib 4.5.5.62

* GAPI Fluid: SIMD for DivRC kernel.

* Fluid: Div kernel's SIMD refactoring

* SIMD for DivRC 3 channel case

* Applied comments

Optimize cv::applyColorMap() for simple case

* Optimize cv::applyColorMap() for simple case

PR for 21640
For regular cv::Mat CV_8UC1 src, applying the colormap is simpler than calling the cv::LUT() mechanism.

* add support for src as CV_8UC3

src as CV_8UC3 is handled with a BGR2GRAY conversion, the same optimized code being used afterwards

* code style

rely on cv::Mat.ptr() to index data

* Move new implementation to ColorMap::operator()

Changes as suggested by reviewer

* style

improvements suggsted by reviewer

* typo

* tune parallel work

* better usage of parallel_for_

use nstripes parameter of parallel_for_
assume _lut is continuous to bring faster pixel indexing
optimize src/dst access by contiguous rows of pixels
do not locally copy the LUT any more, it is no more relevant with the new optimizations

AudioIO: add dnn speech recognition sample on C++

* add speech recognition cpp

* fix warnings

* fixes

* fix warning

* microphone fix

* Added NEON support in builds for Windows on ARM

* Fixed `HAVE_CPU_NEON_SUPPORT` display broken during compiler test

* Fixed a build error prior to Visual Studio 2022

4.x: submodule or a class scope for exported classes

* feature: submodule or a class scope for exported classes

All classes are registered in the scope that corresponds to C++
namespace or exported class.

Example:
`cv::ml::Boost` is exported as `cv.ml.Boost`
`cv::SimpleBlobDetector::Params` is exported as
`cv.SimpleBlobDetector.Params`

For backward compatibility all classes are registered in the global
module with their mangling name containing scope information.
Example:
`cv::ml::Boost` has `cv.ml_Boost` alias to `cv.ml.Boost` type

* refactor: remove redundant GAPI aliases

* fix: use explicit string literals in CVPY_TYPE macro

* fix: add handling for class aliases

G-API: Add VPL/VPP preproc core module

* Add BaseMediAdapter for VPL

* Add PreprocSession & PreprocEngine interface part

* Implement preproc UT, Fix base path

* Add common PP interface, add common pp_params

* Rough decoupling VPL & Preproc

* Add syntax sugar for PP interface

* Integrate VPP preproc in GIEbackend

* Add PP bypass

* Add perf tests for PP

* Fix warning in vpl core UT

* Add inner preproc resolution Unit Test

* Remove VPP preproc description from single ROI sample

* Apply SetROIBlob for diferent Infer operations

* Eliminate extra branch-lines for cfg_param_parser & transcode_engine

* Fix UT warning &PreprocSession compile

* Fix compilation & warnings

* Reduce Session&Engine code amount

* Apply some comments

* Revert IE changes, rename preproc

* Fix for DX11 infer for OV: turn off texture array

* Remove dependency PP on IE

* Change fixture tests params

* Apply other comments & turn off ROI for GPU

* Fix compilation: remove forgotten INFER define

* Apply debt comments

* Fix PP UTs: add FrameInfo value comparator

* Fix style

* Remove standalone map for preproc frames storage

* Add other comments

Use YuNet of fixed input shape to fix not-supported-dynamic-zero-shape for FaceDetectorYN

* use yunet with input of fixed shape

* update yunet used in face recognition regression

std::lower_bound is linear for set
https://en.cppreference.com/w/cpp/algorithm/lower_bound

Issue 21595 fix 3.4 branch

* bug fix; add test

* rewrite tests avoiding vector in tests

Thread Sanitizer identified an incorrect implementation of double checked locking.

Replaced it with a static, which therefore can only be created once.

backport of commit: f9b1dbe2