Moved barcode from opencv_contrib #23666

Merge with https://github.com/opencv/opencv_contrib/pull/3497

##### TODO
- [x] Documentation (bib)
- [x] Tutorial (references)
- [x] Sample app (refactored)
- [x] Java (test passes)
- [x] Python (test passes)
- [x] Build without DNN

added Aruco MIP dictionaries #23785

added Aruco MIP dictionaries: DICT_ARUCO_MIP_16h3, DICT_ARUCO_MIP_25h7, DICT_ARUCO_MIP_36h12 from [Aruco.js](https://github.com/damianofalcioni/js-aruco2), converted in opencv format using https://github.com/damianofalcioni/js-aruco2/blob/master/src/dictionaries/utils/dic2opencv.js

### Pull Request Readiness Checklist

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

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] 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
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

Add detect qr with aruco #23264

Using Aruco to detect finder patterns to search QR codes.

TODO (in next PR):
- add single QR detect (update `detect()` and `detectAndDecode()`)
- need reduce full enumeration of finder patterns
- need add finder pattern info to `decode` step
- need to merge the pipeline of the old and new algorithm

[Current results:](https://docs.google.com/spreadsheets/d/1ufKyR-Zs-IGXwvqPgftssmTlceVjiQX364sbrjr2QU8/edit#gid=1192415584)
+20% total detect, +8% total decode in OpenCV [QR benchmark](https://github.com/opencv/opencv_benchmarks/tree/develop/python_benchmarks/qr_codes) 

![res1](https://user-images.githubusercontent.com/22337800/231228556-191d3eae-a318-44e1-af99-e7d420bf6248.png)


78.4% detect, 58.7% decode vs 58.5 detect, 50.5% decode in default

[main.py.txt](https://github.com/opencv/opencv/files/10762369/main.py.txt)

![res2](https://user-images.githubusercontent.com/22337800/231229123-ed7f1eda-159a-444b-a3ff-f107d8eb4a20.png)


add new info to [google docs](https://docs.google.com/spreadsheets/d/1ufKyR-Zs-IGXwvqPgftssmTlceVjiQX364sbrjr2QU8/edit?usp=sharing)


### 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
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

"corresponging" -> "corresponding"
"Refind" -> "Refine"

Fix python bindings for setCharucoParameters #23436

setCharucoParameters fails in python
Fixes: https://github.com/opencv/opencv/issues/23440

### 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

Add notes for the output format of FaceDetectorYN.detect()

Resolves https://github.com/opencv/opencv/pull/23020#issuecomment-1499010015

### 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
- [ ] 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

merge with https://github.com/opencv/opencv_contrib/pull/3394

move Charuco API from contrib to main repo:

- add CharucoDetector:
```
CharucoDetector::detectBoard(InputArray image, InputOutputArrayOfArrays markerCorners, InputOutputArray markerIds, 
                             OutputArray charucoCorners, OutputArray charucoIds) const // detect charucoCorners and/or markerCorners
CharucoDetector::detectDiamonds(InputArray image, InputOutputArrayOfArrays _markerCorners,
                                InputOutputArrayOfArrays _markerIds, OutputArrayOfArrays _diamondCorners,
                                OutputArray _diamondIds) const
```

- add `matchImagePoints()` for `CharucoBoard`
- remove contrib aruco dependencies from interactive-calibration tool
- move almost all aruco tests to objdetect

### 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

Megre together with https://github.com/opencv/opencv_contrib/pull/3325

1. Move aruco_detector, aruco_board, aruco_dictionary, aruco_utils to objdetect
1.1 add virtual Board::draw(), virtual ~Board()
1.2 move `testCharucoCornersCollinear` to Board classes (and rename to `checkCharucoCornersCollinear`)
1.3 add wrappers to keep the old api working
3. Reduce inludes
4. Fix java tests (add objdetect import)
5. Refactoring

### 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

```
**WIP**
force_builders=linux,win64,docs,Linux x64 Debug,Custom
Xbuild_contrib:Docs=OFF

build_image:Custom=ubuntu:22.04
build_worker:Custom=linux-1
```

QR code (encoding process)

* add qrcode encoder

* qr encoder fixes

* qr encoder: fix api and realization

* fixed qr encoder, added eci and kanji modes

* trigger CI

* qr encoder constructor fixes
Co-authored-by: NAPrigarina <ann73617@gmail.com>

Add DNN-based face detection and face recognition into modules/objdetect

* Add DNN-based face detector impl and interface

* Add a sample for DNN-based face detector

* add recog

* add notes

* move samples from samples/cpp to samples/dnn

* add documentation for dnn_face

* add set/get methods for input size, nms & score threshold and topk

* remove the DNN prefix from the face detector and face recognizer

* remove default values in the constructor of impl

* regenerate priors after setting input size

* two filenames for readnet

* Update face.hpp

* Update face_recognize.cpp

* Update face_match.cpp

* Update face.hpp

* Update face_recognize.cpp

* Update face_match.cpp

* Update face_recognize.cpp

* Update dnn_face.markdown

* Update dnn_face.markdown

* Update face.hpp

* Update dnn_face.markdown

* add regression test for face detection

* remove underscore prefix; fix warnings

* add reference & acknowledgement for face detection

* Update dnn_face.markdown

* Update dnn_face.markdown

* Update ts.hpp

* Update test_face.cpp

* Update face_match.cpp

* fix a compile error for python interface; add python examples for face detection and recognition

* Major changes for Vadim's comments:

* Replace class name FaceDetector with FaceDetectorYN in related failes

* Declare local mat before loop in modules/objdetect/src/face_detect.cpp

* Make input image and save flag optional in samples/dnn/face_detect(.cpp, .py)

* Add camera support in samples/dnn/face_detect(.cpp, .py)

* correct file paths for regression test

* fix convertion warnings; remove extra spaces

* update face_recog

* Update dnn_face.markdown

* Fix warnings and errors for the default CI reports:

* Remove trailing white spaces and extra new lines.

* Fix convertion warnings for windows and iOS.

* Add braces around initialization of subobjects.

* Fix warnings and errors for the default CI systems:

* Add prefix 'FR_' for each value name in enum DisType to solve the
redefinition error for iOS compilation; Modify other code accordingly

* Add bookmark '#tutorial_dnn_face' to solve warnings from doxygen

* Correct documentations to solve warnings from doxygen

* update FaceRecognizerSF

* Fix the error for CI to find ONNX models correctly

* add suffix f to float assignments

* add backend & target options for initializing face recognizer

* add checkeq for checking input size and preset size

* update test and threshold

* changes in response to alalek's comments:

* fix typos in samples/dnn/face_match.py

* import numpy before importing cv2

* add documentation to .setInputSize()

* remove extra include in face_recognize.cpp

* fix some bugs

* Update dnn_face.markdown

* update thresholds; remove useless code

* add time suffix to YuNet filename in test

* objdetect: update test code

Detection and decoding of curved QR-codes

* temp changes for curved qrcodes

* added api for curved qr code decoding

* fixed prototypes

* refactored curved qr code decoding

* refactored curved qr code decoding 2nd part

* refactored curved qr code decoding 3rd part

* refactored curved qr code decoding 4th part

* added tests for curved qr code decoding

* refactored curved qr code decoding 5th part

QR-Code detector : multiple detection

* change in qr-codes detection

* change in qr-codes detection

* change in test

* change in test

* add multiple detection

* multiple detection

* multiple detect

* add parallel implementation

* add functional for performance tests

* change in test

* add perftest

* returned implementation for 1 qr-code, added support for vector<Mat> and vector<vector<Point2f>> in MultipleDetectAndDecode

* deleted all lambda expressions

* changing in triangle sort

* fixed warnings

* fixed errors

* add java and python tests

* change in java tests

* change in java and python tests

* change in perf test

* change in qrcode.cpp

* add spaces

* change in qrcode.cpp

* change in qrcode.cpp

* change in qrcode.cpp

* change in java tests

* change in java tests

* solved problems

* solved problems

* change in java and python tests

* change in python tests

* change in python tests

* change in python tests

* change in methods name

* deleted sample qrcode_multi, change in qrcode.cpp

* change in perf tests

* change in objdetect.hpp

* deleted code duplication in sample qrcode.cpp

* returned spaces

* added spaces

* deleted draw function

* change in qrcode.cpp

* change in qrcode.cpp

* deleted all draw functions

* objdetect(QR): extractVerticalLines

* objdetect(QR): whitespaces

* objdetect(QR): simplify operations, avoid duplicated code

* change in interface, additional checks in java and python tests, added new key in sample for saving original image from camera

* fix warnings and errors in python test

* fix

* write in file with space key

* solved error with empty mat check in python test

* correct path to test image

* deleted spaces

* solved error with check empty mat in python tests

* added check of empty vector of points

* samples: rework qrcode.cpp

* objdetect(QR): fix API, input parameters must be first

* objdetect(QR): test/fix points layout

* refined QRCodeDetector API for OpenCV 4.0

* expanded and tested QRCodeDetector::detectAndDecode()

* Cleanup macros and enable expansion of `__VA_ARGS__` for Visual Studio

* Macros for enum-arguments backwards compatibility

* Convert struct Param to enum struct

* Enabled ParamType.type for enum types

* Enabled `cv.read` and `cv.write` for enum types

* Rename unnamed enum to AAKAZE.DescriptorType

* Rename unnamed enum to AccessFlag

* Rename unnamed enum to AgastFeatureDetector.DetectorType

* Convert struct DrawMatchesFlags to enum struct

* Rename unnamed enum to FastFeatureDetector.DetectorType

* Rename unnamed enum to Formatter.FormatType

* Rename unnamed enum to HOGDescriptor.HistogramNormType

* Rename unnamed enum to DescriptorMatcher.MatcherType

* Rename unnamed enum to KAZE.DiffusivityType

* Rename unnamed enum to ORB.ScoreType

* Rename unnamed enum to UMatData.MemoryFlag

* Rename unnamed enum to _InputArray.KindFlag

* Rename unnamed enum to _OutputArray.DepthMask

* Convert normType enums to static const NormTypes

* Avoid conflicts with ElemType

* Rename unnamed enum to DescriptorStorageFormat

define itself is still here for compatibility

Found via `codespell`