Fix v_pack_store alignment issue on Windows 32-bit.

Removed merge previous 4.x->5.x merge artifact

Solved bug in Reduce layer #24044

Invalid memory access fix for ONNX split layer parser #24076 #24101

### Pull Request Readiness Checklist

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- [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 https://github.com/opencv/opencv/issues/24076
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      Patch to opencv_extra has the same branch name.
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`cuda`: fix for compatibility with CUDA Toolkit >= 12.2.0

TFLite models on different backends (tests and improvements) #24039

### Pull Request Readiness Checklist

* MaxUnpooling with OpenVINO
* Fully connected with transposed inputs/weights with OpenVINO
* Enable backends tests for TFLite (related to https://github.com/opencv/opencv/issues/23992#issuecomment-1640691722)
* Increase existing tests thresholds

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- [x] I agree to contribute to the project under Apache 2 License.
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- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
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      Patch to opencv_extra has the same branch name.
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* started working on adding 32u, 64u, 64s, bool and 16bf types to OpenCV

* core & imgproc tests seem to pass

* fixed a few compile errors and test failures on macOS x86

* hopefully fixed some compile problems and test failures

* fixed some more warnings and test failures

* trying to fix small deviations in perf_core & perf_imgproc by revering randf_64f to exact version used before

* trying to fix behavior of the new OpenCV with old plugins; there is (quite strong) assumption that video capture would give us frames with depth == CV_8U (0) or CV_16U (2). If depth is > 7 then it means that the plugin is built with the old OpenCV. It needs to be recompiled, of course and then this hack can be removed.

* try to repair the case when target arch does not have FP64 SIMD

* 1. fixed bug in itoa() found by alalek
2. restored ==, !=, > and < univ. intrinsics on ARM32/ARM64.

Port stereoRectify grid fix #24035

Finalize calib3d module split for fisheye part

Resolve uncovered CUDA dnn layer #24080

### Pull Request Readiness Checklist

* Gelu activation layer on CUDA
* Try to relax GEMM from ONNX

resolves https://github.com/opencv/opencv/issues/24064

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- [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
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Add CI configuration with Ubuntu 22.04 for 5.x branch.

add error in the first camera to the cost function

Remove legacy nGraph logic #24072

### Pull Request Readiness Checklist

TODO:
- [x] Test with OpenVINO 2021.4 (tested locally)

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- [x] I agree to contribute to the project under Apache 2 License.
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DetectionOutput layer on OpenVINO without limitations #24069

### Pull Request Readiness Checklist

required for https://github.com/opencv/opencv/pull/23987

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      Patch to opencv_extra has the same branch name.
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G-API: Support CUDA & TensoRT Execution Providers for ONNXRT Backend #24059

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`cuda`: suppress CMP0146 warning

Fix stereoRectify image boundaries.

Merge usac to 5.x #24005

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Base branch is PR #23979. Merging PR #23078, 23900 and PR #23806  to 5.x

This should hav ebeen fixed with https://github.com/opencv/opencv/issues/23304

PReLU with element-wise scales #24056

### Pull Request Readiness Checklist

resolves https://github.com/opencv/opencv/issues/24051

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- [x] I agree to contribute to the project under Apache 2 License.
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      Patch to opencv_extra has the same branch name.
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Update opencv dnn to support cann version >=6.3 #23936

1.modify the search path of "libopsproto.so" in OpenCVFindCANN.cmake
2.add the search path of "libgraph_base.so" in OpenCVFindCANN.cmake
3.automatic check Ascend socVersion,and test on Ascend310/Ascend310B/Ascend910B well

Numeric truncation at `tif_dirread.c:4386`

Python typing refinement for dnn_registerLayer/dnn_unregisterLayer functions #24066

This patch introduces typings generation for `dnn_registerLayer`/`dnn_unregisterLayer` manually defined in [`cv2/modules/dnn/misc/python/pyopencv_dnn.hpp`](https://github.com/opencv/opencv/blob/4.x/modules/dnn/misc/python/pyopencv_dnn.hpp)

Updates:

- Add `LayerProtocol` to `cv2/dnn/__init__.pyi`:

    ```python
    class LayerProtocol(Protocol):
        def __init__(
            self, params: dict[str, DictValue],
            blobs: typing.Sequence[cv2.typing.MatLike]
        ) -> None: ...

        def getMemoryShapes(
            self, inputs: typing.Sequence[typing.Sequence[int]]
        ) -> typing.Sequence[typing.Sequence[int]]: ...

        def forward(
            self, inputs: typing.Sequence[cv2.typing.MatLike]
        ) -> typing.Sequence[cv2.typing.MatLike]: ...
    ```

- Add `dnn_registerLayer` function to `cv2/__init__.pyi`:

    ```python
    def dnn_registerLayer(layerTypeName: str,
                          layerClass: typing.Type[LayerProtocol]) -> None: ...
    ```

- Add `dnn_unregisterLayer` function to `cv2/__init__.pyi`:

    ```python
    def dnn_unregisterLayer(layerTypeName: str) -> None: ...
    ```
### Pull Request Readiness Checklist

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- [x] 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.
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feat: add typing stub for redirectError

Python interface for `redirectError`:

```python
def redirectError(
    onError: Callable[[int, str, str, str, int], None] | None
) -> None: ...
```

[Build] popcnt is not supported on windows ARM