adatapted -> adapted

Added SQPnP algorithm to SolvePnP

* Added sqpnp

* Fixed test case

* Added fix for duplicate point checking and inverse func reuse

* Changes for 3x speedup

Changed norm method (significant speed increase), changed nearest rotation computation to FOAM

* Added symmetric 3x3 inverse and unrolled loops

* Fixed error with SVD

* Fixed error from with indices

Indices were initialized negative. When nullspace is large, points coplanar, and rotation near 0, indices not changed.

Fixing dnn Resize layer for variable input size

* Fix onnx loading of resize/upsample layers for different opset

* group all DynamicResize tests

* cleaned up scales checks

* Simplify branching

Minimum change to address issue #18837

- Add python explanation for erosion and dilation
- Add java explanation for erosion and dilation
- Restructure and reword specific sections

3rdparty: libjpeg-turbo 2.0.5 => 2.0.6

https://github.com/libjpeg-turbo/libjpeg-turbo/releases/tag/2.0.6

Fix loading issue for Faster RCNN model from #16783

* Add a reproducer with multi-output Gather

* Fix an issue with ONNX graph simplifier

* fix build

* Move checks to correct class

* Minor changes for better code appearence

Add support for Conv1D on OpenCV backend

* Add support for Conv1D on OpenCV backend

* disable tests on other targets/backends

* Fix formatting

* Restore comment

* Remove unnecessary flag and fix test logic

* Fix perf test

* fix braces

* Fix indentation, assert check and remove unnecessary condition

* Remove unnecessary changes

* Add test cases for variable weights and bias

* dnn(conv): fallback on OpenCV+CPU instead of failures

* coding style

- the same generated code from Python2/3
- avoid randomized output due to unpredictable dict/set order