Add AVIF support through libavif. #23596

This is to fix https://github.com/opencv/opencv/issues/19271
Extra: https://github.com/opencv/opencv_extra/pull/1069

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

TFLite models importer

* initial commit

* Refactor TFLiteImporter

* Better FlatBuffers detection

* Add permute before 4D->3D reshape

* Track layers layout

* TFLite Convolution2DTransposeBias layer

* Skip TFLite tests without FlatBuffers

* Fix check of FlatBuffers in tests. Add readNetFromTFLite from buffer

* TFLite Max Unpooling test

* Add skip for TFLite unpooling test

* Revert DW convolution workaround

* Fix ObjC bindings

* Better errors handling

* Regenerate TFLite schema using flatc

* dnn(tflite): more checks, better logging

* Checks for unimplemented fusion. Fix tests

* cann backend impl v1

* cann backend impl v2: use opencv parsers to build models for cann

* adjust fc according to the new transA and transB

* put cann net in cann backend node and reuse forwardLayer

* use fork() to create a child process and compile cann model

* remove legacy code

* remove debug code

* fall bcak to CPU backend if there is one layer not supoorted by CANN backend

* fix netInput forward

Enable cudacodec libs by default, prevent their locations being lost when cmake is re-run and add log info when the libs/headers cannot be found.

Introduce libavdevice to make v4l2 available to the ffmpeg backend

* introduce libavdevice to make v4l2 available to the ffmpeg backend

* downgrade the min required libavdevice version to 53.2.0

* make libavdevice optional

* create OCV_OPTION OPENCV_FFMPEG_ENABLE_LIBAVDEVICE and add definition through ocv_add_external_target

* move OCV_OPTION 'OPENCV_FFMPEG_ENABLE_LIBAVDEVICE' to detect_ffmpeg.cmake

Update CMake rules to include Nvidia Video Codec SDK encoding libs

* videoio: add support for obsensor (Orbbec RGB-D Camera )

* obsensor: code format issues fixed and some code optimized

* obsensor: fix typo and format issues

* obsensor: fix crosses initialization error

-enable using -DWITH_WAYLAND=ON
-adapted from https://github.com/pfpacket/opencv-wayland
-using xdg_shell stable protocol
-overrides HAVE_QT if HAVE_WAYLAND and WITH_WAYLAND are set
Signed-off-by: NJoel Winarske <joel.winarske@gmail.com>
Co-authored-by: NRyo Munakata <afpacket@gmail.com>

dnn: TIM-VX NPU backend support

* Add TimVX NPU backend for DNN module.

* use official branch from tim-vx repo; fix detecting viv sdk
Co-authored-by: Nfytao <yuantao.feng@outlook.com>

original commit: 437af37b

original commit: c703f1ee

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

[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

* improve compatibility for qt 6.

* cmake(highgui): rework Qt dependency support

* cmake(highgui): workaround Qt5Config.cmake "components" bug
Co-authored-by: NAlexander Alekhin <alexander.a.alekhin@gmail.com>

* Support of OpenVINO interface libraries

* cmake: rename and move ocv_get_imported_target to OpenCVUtils.cmake

AArch64 semihosting

* [ts] Disable filesystem support in the TS module.

Because of this change, all the tests loading data will file, but tat
least the core module can be tested with the following line:

    opencv_test_core --gtest_filter=-"*Core_InputOutput*:*Core_globbing.accuracy*"

* [aarch64] Build OpenCV for AArch64 semihosting.

This patch provide a toolchain file that allows to build the library
for semihosting applications [1]. Minimal changes have been applied to
the code to be able to compile with a baremetal toolchain.

[1] https://developer.arm.com/documentation/100863/latest

The option `CV_SEMIHOSTING` is used to guard the bits in the code that
are specific to the target.

To build the code:

    cmake ../opencv/ \
        -DCMAKE_TOOLCHAIN_FILE=../opencv/platforms/semihosting/aarch64-semihosting.toolchain.cmake \
        -DSEMIHOSTING_TOOLCHAIN_PATH=/path/to/baremetal-toolchain/bin/ \
        -DBUILD_EXAMPLES=ON -GNinja

A barematel toolchain for targeting aarch64 semihosting can be found
at [2], under `aarch64-none-elf`.

[2] https://developer.arm.com/tools-and-software/open-source-software/developer-tools/gnu-toolchain/gnu-a/downloads

The folder `samples/semihosting` provides two example semihosting
applications.

The two binaries can be executed on the host platform with:

    qemu-aarch64 ./bin/example_semihosting_histogram
    qemu-aarch64 ./bin/example_semihosting_norm

Similarly, the test and perf executables of the modules can be run
with:

    qemu-aarch64 ./bin/opecv_[test|perf]_<module>

Notice that filesystem support is disabled by the toolchain file,
hence some of the test that depend on filesystem support will fail.

* [semihosting] Remove blank like at the end of file. [NFC]

The spurious blankline was reported by
https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/31158.

* [semihosting] Make the raw pixel file generation OS independent.

Use the facilities provided by Cmake to generate the header file
instead of a shell script, so that the build doesn't fail on systems
that do not have a unix shell.

* [semihosting] Rename variable for semihosting compilation.

* [semihosting] Move the cmake configuration to a variable file.

* [semihosting] Make the guard macro private for the core module.

* [semihosting] Remove space. [NFC]

* [semihosting] Improve comment with information about semihosting. [NFC]

* [semihosting] Update license statement on top of sourvce file. [NFC]

* [semihosting] Replace BM_SUFFIX with SEMIHOSTING_SUFFIX. [NFC]

* [semihosting] Remove double space. [NFC]

* [semihosting] Add some text output to the sample applications.

* [semihosting] Remove duplicate entry in cmake configuration. [NFCI]

* [semihosting] Replace `long` with `int` in sample apps. [NFCI]

* [semihosting] Use `configure_file` to create the random pixels. [NFCI]

* [semihosting][bugfix] Fix name of cmakedefine variable.

* [semihosting][samples] Use CV_8UC1 for grayscale images. [NFCI]

* [semihosting] Add readme file.

* [semihosting] Remove blank like at the end of README. [NFC]

This fixes the failure at
https://pullrequest.opencv.org/buildbot/builders/precommit_docs/builds/31272.

Improves support for Unix non-Linux systems, including QNX

* Fixes #20395. Improves support for Unix non-Linux systems. Focus on QNX Neutrino.
Signed-off-by: Npromero <promero@mathworks.com>

* Update system.cpp

* [build][option] Introduce `OPENCV_DISABLE_THREAD_SUPPORT` option.

The option forces the library to build without thread support.

* update handling of OPENCV_DISABLE_THREAD_SUPPORT

- reduce amount of #if conditions

* [to squash] cmake: apply mode vars in toolchains too
Co-authored-by: NAlexander Alekhin <alexander.a.alekhin@gmail.com>

The option as been moved away from python-related options.

cv::UMat output/input in VideoCapture/VideoWriter (data stays in GPU memory)

* FFMPEG with UMat input/output

* OpenCL_D3D* context

* fix Linux build

* cosmetic changes

* fix build if USE_AV_HW_CODECS=0

* simplify how child context pointer stored in parent context

* QSV interop with OpenCL on Windows

* detect_msdk.cmake via pkg-config

* fix av_buffer_ref() usage

* revert windows-decode-mfx whitelisting; remove debug msg

* address review comments

* rename property to HW_ACCELERATION_USE_OPENCL

* fix issue with "cl_khr_d3d11_sharing" extension not reported by OpenCL GPU+CPU platform

* core(ocl): add OpenCL stubs for configurations without OpenCL

* videoio(ffmpeg): update #if guards

* Put OpenCL related code under HAVE_OPENCL; simplify reuse of media context from OpenCL context

* videoio(test): skip unsupported tests

- plugins don't support OpenCL/UMat yet
- change handling of *_USE_OPENCL flag

* videoio(ffmpeg): OpenCL dependency

* videoio(ffmpeg): MediaSDK/oneVPL dependency

* cleanup, logging

* cmake: fix handling of 3rdparty interface targets
Co-authored-by: NAlexander Alekhin <alexander.a.alekhin@gmail.com>

- exclude from getBuildInformation()
- fix pylint version

Android NDK camera support

* Add native camera video backend for Android

* In the event of a "No buffer available error" wait for the appropriate callback and retry

* Fix stale context when creating a new AndroidCameraCapture

* Add property handling