Handle degenerate cases in RQDecomp3x3 opencv#25050

The point of the Givens rotations here is to iteratively set the lower left matrix entries to zero. If an element is zero already, we don't need to do anything. This resolves opencv#24330.

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Fixes opencv#25056 : Optimising postProcess(const std::vector<Mat>& output_blobs) opencv#25091

Like mentioned in the issue opencv#25056 , I think checking the condition with `scoreThreshold` and then assigning the bounding boxes can optimize the function pretty well. By doing this, we prevent allocating boxes to faces with scores below the threshold. It also reduces the amount of data that needs to be processed during the subsequent NMS step. Builds and passed locally.

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Co-authored-by: Dhanwanth1803 <dhanwanthvarala@gmail,com>

Fix issue opencv#25077 opencv#25100

Fixes opencv#25077

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Added and tested yolov8x model opencv#25095

### Pull Request Readiness Checklist

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- [X] I agree to contribute to the project under Apache 2 License.
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Below is evidence of the test:
![opencv](https://github.com/opencv/opencv/assets/675645/40e81951-a8fd-410b-9dfc-c08254f99bdc)

Fixed lcense and readme filenames after TBB update

…fp16

Disable fp16 instructions detection on Windows ARM64 because of build issues

dnn: try improving performance of Attention layer opencv#25076

Checklist:

- [x] Use `Mat` over `Mat::zeros` for temporary buffer in forward
- [x] Use layer internal buffer over temporary Mat buffer
- [x] Try a single fastGemmBatch on the Q/K/V calculation

Performance:

Performance test case is `Layer_Attention.VisionTransformer/0`, which has input of shape {1, 197, 768}, weight of shape {768, 2304} and bias {2304}.

Data is in millisecond.

| | macOS 14.2.1, Apple M1 | Ubuntu 22.04.2, Intel i7 12700K |
| - | - | - |
| Current | 10.96 | 1.58 |
| w/ Mat | 6.27 | 1.41 |
| w/ Internals | 5.87 | 1.38 |
| w/ fastGemmBatch | 6.12 | 2.14 |


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First proposal of cv::remap with relative displacement field (opencv#24603) opencv#24621

Implements opencv#24603

Currently, `remap()` is applied as `dst(x, y) <- src(mapX(x, y), mapY(x, y))` It means that the maps must be filled with absolute coordinates.

However, if one wants to remap something according to a displacement field ("warp"), the operation should be `dst(x, y) <- src(x+displacementX(x, y), y+displacementY(x, y))`

It is trivial to build a mapping from a displacement field, but it is an undesirable overhead for CPU and memory.

This PR implements the feature as an experimental option, through the optional flag WARP_RELATIVE_MAP than can be ORed to the interpolation mode.

Since the xy maps might be const, there is no attempt to add the coordinate offset to those maps, and everything is postponed on-the-fly to the very last coordinate computation before fetching `src`. Interestingly, this let `cv::convertMaps()` unchanged since the fractional part of interpolation does not care of the integer coordinate offset.

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