Improve document of cv::RotatedRect for #23335 #23342

fix #23335

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add REDUCE_SUM2 #13879 

proposal to add REDUCE_SUM2 to cv::reduce, an operation that sums up the square of elements

don't ignore documentation for cv::format in doxygen #23555 

Issue https://github.com/opencv/opencv/issues/23553

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Bump supported ONNX RT version to 1.14.1

AGP 8.0 build.gradle namespace and aidl buildFeature requirement added #23447 

Hello,

Android Gradle Plugin version 8.0 is asking for namespace. This is become mandatory and after I update my AGP to 8.0, I got this error 


```
Namespace not specified. Please specify a namespace in the module's build.gradle file like so:

android {
    namespace 'com.example.namespace'
}

If the package attribute is specified in the source AndroidManifest.xml, it can be migrated automatically to the namespace value in the build.gradle file using the AGP Upgrade Assistant; please refer to https://developer.android.com/studio/build/agp-upgrade-assistant for more information.
```

This change fix this future releases. However I am not sure how opencv wants to user namespace I used "org.opencv" if there is a different namespace please let me know so I can changed that too. Also should I add namepsace into "opencv/modules/java/android_sdk/android_gradle_lib/build.gradle" here ?

### Sources

Android developer link: https://developer.android.com/studio/preview/features#namespace-dsl
Issue Tracker Google: https://issuetracker.google.com/issues/191813691?pli=1#comment19

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Added test for LSTM without hidden state initialisation

fix charuco matchImagePoints

This allows removing the unsafe sprintf.

Fixed a typo in `documentation.yml` and `feature_request.yml` #23538

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Add charuco pattern into calibration.cpp #23486

Added charuco pattern into calibration.cpp. Added charuco pattern with predefined aruco dictionary and with dictionary from file.

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states initialization

DNN/CUDA: make 'abcd op 1b11' broadcast eltwise operator support cuda

Import and inference INT8 quantized TFLite model #23409

### Pull Request Readiness Checklist

* Support quantized TFLite models
* Enable fused activations (FP32, INT8)

**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1048

![res](https://user-images.githubusercontent.com/25801568/231433201-566b4bd6-ccff-462c-9e74-adbdcdf3648b.png)

on the image, green boxes are from TFLite and red boxes from OpenCV

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Fix ONNX parser for single-layer LSTM hidden and cell states #23475

### Fix ONNX parser for single-layer LSTM hidden and cell states

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This PR addresses #21118 [issue](https://github.com/opencv/opencv/issues/21118). The problem is that the ONNX parser is unable to read the hidden state and cell state for single-layer LSTMs. This PR fixes the issue by updating the parser to correctly read hidden and cell states.

Add python sample of how to use Orbbec camera. #23531

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Fix "unrecognized selector" issue in Objective-C/Swift bindings

- Existing tests pass with the ONNX models mentioned in tests.

DNN: Add New API blobFromImageParam #22750

The purpose of this PR:

1. Add new API `blobFromImageParam` to extend `blobFromImage` API. It can support the different data layout (NCHW or NHWC), and letter_box.
2. ~~`blobFromImage` can output `CV_16F`~~

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ADD weights  yolov4-tiny in models.yml

Fixed undefined left shifting of negative number

Fix aruco module CORNER_REFINE_CONTOUR parameter gets skipped

dnn: Support more operators in CANN backend #23401

This PR adds the support of following layers:

- [x] Sub
- [x] PRelu
- [x] DeConv
- [x] Also warn users if backend is switched back to default if some of the layers are not supported.
- [ ] [Dropped] LSTM: some hacks (adding layers) were introduced which makes it even harder to build the graph for CANN backend.

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Added LSTM and GRU tests for various batch and input length sizes #23501

Added tests with various sequence length and batch sizes
Test data: https://github.com/opencv/opencv_extra/pull/1057

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Updated PGP key for security reports

Fix typos in aruco_detector.hpp

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

cmake: fix V4L config verification conflict with OBSENSOR