Implement ArgMax and ArgMin

* add reduceArgMax and reduceArgMin

* fix review comments

* address review concerns

Update documentation

* Update DNN-based Face Detection And Recognition tutorial

* samples(dnn/face): update face_detect.cpp

* final changes
Co-authored-by: NAlexander Alekhin <alexander.a.alekhin@gmail.com>

Improved overall readability of the code

* grid_nms.cu: minor fix-ups

* Update grid_stride_range.hpp

* Update tf_importer.cpp

* GitHub Action to lint Python code

* Move from automatic events to manual ones

* flake8: Do not look for undefined names

[G-API] Fix issue of getting 1D Mat out of RMat::View

* Fix issue of getting 1D Mat out of RMat::View
 - added test
 - fixed for standalone too (removed Assert(dims.empty()))

* Fixed asVeiw() function for standalone

* Put more detailed comment

[G-API] Fixed Coverity issues

* Fixed Coverity issues
 - VectorRef&OpaqueRef m_kind = CV_UNKNOWN
 - added same-type overload for saturate()
 - sanitized resize value in ByteMemoryInStream::operator>> (std::string& str)
 - handled throws from ~GStreamingExecutor()

* Catching exception by const ref

* Addressing Sergey's comments

* Applied enable_if semanitcs to saturate(x, round) too

* Removed uncaught_exception, made destructor noexcept back

* Split Fluid ConvertTo to multiple functions to avoid ifs; added CV_ALWAYS_INLINE

* Added FIXME to address throwings from stop()

* Fix standalone

* Addressing comments

* Guarded SIMD optimizations properly

* Removed excess parameter from simd_impl functions

G-API: Cleaning samples

* parseSSD + removed render details from gcpukernel

* self-rev

* Applying comment

* Added operators

* warnings

https://pypi.org/project/codespell/

Avoid `SyntaxWarning` on Python >= 3.8
```
>>> "convolutional" == "convolutional"
True
>>> "convolutional" is "convolutional"
<stdin>:1: SyntaxWarning: "is" with a literal. Did you mean "=="?
True
```
Related to #21121

https://github.com/libjpeg-turbo/libjpeg-turbo/releases/tag/2.1.2

Add capacity to Videocapture to return the extraData from FFmpeg when required

* Update rawMode to append any extra data recieved during the initial negotiation of an RTSP stream or during the parsing of an MPEG4 file header.
For h264[5] RTSP streams this ensures the parameter sets if available are always returned on the first call to grab()/read() and has two purposes:
1) To ensure the parameter sets are available even if they are not transmitted in band.  This is common for axis ip camera's.
2) To allow callers of VideoCapture::grab()[read()] to write to split the raw stream over multiple files by appending the parameter sets to the begining of any new files.
For (1) there is no alternative, for (2) if the parameter sets were provided in band it would be possible to parse the raw bit stream and search for the parameter sets however that would be a lot of work when that information is already provided by FFMPEG.
For MPEG4 files this information is only suplied in the header and is required for decoding.

Two properties are also required to enable the raw encoded bitstream to be written to multiple files, these are;
1) an indicator as to whether the last frame was a key frame or not - each new file needs to start at a key frame to avoid storing unusable frame diffs,
2) the length in bytes of the paramater sets contained in the last frame - required to split the paramater sets from the frame without having to parse the stream.  Any call to VideoCapture::get(CAP_PROP_LF_PARAM_SET_LEN) returning a number greater than zero indicates the presense of a parameter set at the begining of the raw bitstream.

* Adjust test data to account for extraData

* Address warning.

* Change added property names and remove paramater set start code check.

* Output extra data on calls to retrieve instead of appending to the first packet.

* Reverted old test case and added new one to evaluate new functionality.

* Add missing definition.

* Remove flag from legacy api.
Add property to determine if returning extra data is supported.
Always allow extra data to be returned on calls to cap.retrieve()
Update test case.

* Update condition which indicates CAP_PROP_CODEC_EXTRADATA_INDEX is not supported in test case.

* Include compatibility for windows dll if not updated.
Enforce existing return status convention.

* Fix return error and missing test constraints.

[GSoC] OpenCV.js: Accelerate OpenCV.js DNN via WebNN

* Add WebNN backend for OpenCV DNN Module

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Add WebNN head files into OpenCV 3rd partiy files

Create webnn.hpp

update cmake

Complete README and add OpenCVDetectWebNN.cmake file

add webnn.cpp

Modify webnn.cpp

Can successfully compile the codes for creating a MLContext

Update webnn.cpp

Update README.md

Update README.md

Update README.md

Update README.md

Update cmake files and

update README.md

Update OpenCVDetectWebNN.cmake and README.md

Update OpenCVDetectWebNN.cmake

Fix OpenCVDetectWebNN.cmake and update README.md

Add source webnn_cpp.cpp and libary libwebnn_proc.so

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

update dnn.cpp

update op_webnn

update op_webnn

Update op_webnn.hpp

update op_webnn.cpp & hpp

Update op_webnn.hpp

Update op_webnn

update the skeleton

Update op_webnn.cpp

Update op_webnn

Update op_webnn.cpp

Update op_webnn.cpp

Update op_webnn.hpp

update op_webnn

update op_webnn

Solved the problems of released variables.

Fixed the bugs in op_webnn.cpp

Implement op_webnn

Implement Relu by WebNN API

Update dnn.cpp for better test

Update elementwise_layers.cpp

Implement ReLU6

Update elementwise_layers.cpp

Implement SoftMax using WebNN API

Implement Reshape by WebNN API

Implement PermuteLayer by WebNN API

Implement PoolingLayer using WebNN API

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Implement poolingLayer by WebNN API and add more detailed logs

Update dnn.cpp

Update dnn.cpp

Remove redundant codes and add more logs for poolingLayer

Add more logs in the pooling layer implementation

Fix the indent issue and resolve the compiling issue

Fix the build problems

Fix the build issue

FIx the build issue

Update dnn.cpp

Update dnn.cpp

* Fix the build issue

* Implement BatchNorm Layer by WebNN API

* Update convolution_layer.cpp

This is a temporary file for Conv2d layer implementation

* Integrate some general functions into op_webnn.cpp&hpp

* Update const_layer.cpp

* Update convolution_layer.cpp

Still have some bugs that should be fixed.

* Update conv2d layer and fc layer

still have some problems to be fixed.

* update constLayer, conv layer, fc layer

There are still some bugs to be fixed.

* Fix the build issue

* Update concat_layer.cpp

Still have some bugs to be fixed.

* Update conv2d layer, fully connected layer and const layer

* Update convolution_layer.cpp

* Add OpenCV.js DNN module WebNN Backend (both using webnn-polyfill and electron)

* Delete bib19450.aux

* Add WebNN backend for OpenCV DNN Module

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Add WebNN head files into OpenCV 3rd partiy files

Create webnn.hpp

update cmake

Complete README and add OpenCVDetectWebNN.cmake file

add webnn.cpp

Modify webnn.cpp

Can successfully compile the codes for creating a MLContext

Update webnn.cpp

Update README.md

Update README.md

Update README.md

Update README.md

Update cmake files and

update README.md

Update OpenCVDetectWebNN.cmake and README.md

Update OpenCVDetectWebNN.cmake

Fix OpenCVDetectWebNN.cmake and update README.md

Add source webnn_cpp.cpp and libary libwebnn_proc.so

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

update dnn.cpp

update op_webnn

update op_webnn

Update op_webnn.hpp

update op_webnn.cpp & hpp

Update op_webnn.hpp

Update op_webnn

update the skeleton

Update op_webnn.cpp

Update op_webnn

Update op_webnn.cpp

Update op_webnn.cpp

Update op_webnn.hpp

update op_webnn

update op_webnn

Solved the problems of released variables.

Fixed the bugs in op_webnn.cpp

Implement op_webnn

Implement Relu by WebNN API

Update dnn.cpp for better test

Update elementwise_layers.cpp

Implement ReLU6

Update elementwise_layers.cpp

Implement SoftMax using WebNN API

Implement Reshape by WebNN API

Implement PermuteLayer by WebNN API

Implement PoolingLayer using WebNN API

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Implement poolingLayer by WebNN API and add more detailed logs

Update dnn.cpp

Update dnn.cpp

Remove redundant codes and add more logs for poolingLayer

Add more logs in the pooling layer implementation

Fix the indent issue and resolve the compiling issue

Fix the build problems

Fix the build issue

FIx the build issue

Update dnn.cpp

Update dnn.cpp

* Fix the build issue

* Implement BatchNorm Layer by WebNN API

* Update convolution_layer.cpp

This is a temporary file for Conv2d layer implementation

* Integrate some general functions into op_webnn.cpp&hpp

* Update const_layer.cpp

* Update convolution_layer.cpp

Still have some bugs that should be fixed.

* Update conv2d layer and fc layer

still have some problems to be fixed.

* update constLayer, conv layer, fc layer

There are still some bugs to be fixed.

* Update conv2d layer, fully connected layer and const layer

* Update convolution_layer.cpp

* Add OpenCV.js DNN module WebNN Backend (both using webnn-polyfill and electron)

* Update dnn.cpp

* Fix Error in dnn.cpp

* Resolve duplication in conditions in convolution_layer.cpp

* Fixed the issues in the comments

* Fix building issue

* Update tutorial

* Fixed comments

* Address the comments

* Update CMakeLists.txt

* Offer more accurate perf test on native

* Add better perf tests for both native and web

* Modify per tests for better results

* Use more latest version of Electron

* Support latest WebNN Clamp op

* Add definition of HAVE_WEBNN macro

* Support group convolution

* Implement Scale_layer using WebNN

* Add Softmax option for native classification example

* Fix comments

* Fix comments

since u and v Pixel ptr have been swapped the compare condition should be updated too

* Update how_to_use_OpenCV_parallel_for_new.markdown

Fix an incorrect jump link in the tutorial how_to_use_OpenCV_parallel_for_new.

* Update how_to_use_OpenCV_parallel_for_new.markdown

Update the URL of the tutorial code.

G-API: oneVPL Implement asynchronous MFP demux data provider

* Add dummy dmux

* Initial commit for draft versionn

* Demux for low res file works

* Add media source resolver to work over incorrect MIME

* Add MFP Demux logger

* stash changes

* Extend IDataProvider with CodecId, Add troubleshooting info

* Add IDapaProvider dispatcher

* Add ComPtrGuard wrappers

* Add new unit test scope for MFP demux & Add minor changes

* Enhance UTs

* Remove ATL header

* Remove ATL another one

* Fix build

* Add static for some methods

* Initial commit

* Add async demuxing

* Apply tdd idea

* Intro IDataProvider changes: +fetch_bitstream, -fetch_data

* Fix UTs

* Remove IDataProvider::CodecId & Fix EOF hang

* Remove sync demux

* Remove mfp async dependencies

* Remove VPL dependencies from IDataProvider declaration

* Apply comments

* Fix compilation

* Suppress unused warning

* Apply some comments

* Apply some comments

* Apply comments

* Update drawing.cpp

optimize FillEdgeCollection function

* Update drawing.cpp

optimize FillEdgeCollection，remove sort_flag

In case of very small negative h (e.g. -1e-40), with the current implementation,
you will go through the first condition and end up with h = 6.f, and will miss
the second condition.

issue #20617 addresses lack of warnings on
seamlessClone() function when src is None.
This commit adds source check using CV_Assert
therefore debugging would be easier.
Signed-off-by: Nnickjackolson <metedurlu@gmail.com>

Add a warning message using CV_LOG__WARNING().
This way api behaviour is preserved. Outputs are
the same but user gets an extra warning in case
fopen() fails to access image file for some reason.
This would help new users and also debugging
complex apps which use imread()
Signed-off-by: Nnickjackolson <metedurlu@gmail.com>