extended Norm tests to prove that cv::norm() already supports all the types.
cv::norm() already provides enough functionality; just extended tests to prove it. See #24887
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- Added function overload for the simple case
- Added CV_Bool type support for masks
- `parallel_for_` for intrinsics calibration for faster inference
- Homogenize parameters order with other calibrateXXX functions
imgproc: add optimized warpAffine kernels for 8U/16U/32F + C1/C3/C4 inputs #25984
Merge wtih https://github.com/opencv/opencv_extra/pull/1198.
Merge with https://github.com/opencv/opencv_contrib/pull/3787.
### Pull Request Readiness Checklist
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Reworked multiview calibration interface #26221
- Use InputArray / OutputArray
- Use enum for camera type
- Sort parameters according guidelines
- Made more outputs optional
- Introduce flags and added tests for intrinsics and extrinsics guess.
### Pull Request Readiness Checklist
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Add support for downloading DNN config files in download_models.py #26186
PR resloves #26160 related to downloading DNN config files using download_models.py
### Pull Request Readiness Checklist
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Merged yolo_detector and object detection sample #25710
Relates to #25006
This pull request merges the yolo_detector.cpp sample with the object_detector.cpp sample. It also beautifies the bounding box display on the output images
### Pull Request Readiness Checklist
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Documentation update for imagecodecs #26152
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Added and tested yolov5l model. #26154
### Pull Request Readiness Checklist
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Below is evidence of the test:
Added HAL interface for Lukas-Kanade optical flow #26143
### Pull Request Readiness Checklist
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Patch to opencv_extra has the same branch name.
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