dnn: add DepthToSpace and SpaceToDepth #25779
We are working on updating WeChat QRCode module. One of the new models is a fully convolutional model and hence it should be able to run with different input shapes. However, it has an operator `DepthToSpace`, which is parsed as a subgraph of `Reshape -> Permute -> Reshape` with a fixed shape getting during parsing. The subgraph itself is not a problem, but the true problem is the subgraph with a fixed input and output shape regardless input changes. This does not allow the model to run with different input shapes.
Solution is to add a dedicated layer for DepthtoSpace and SpaceToDepth.
Backend support:
- [x] CPU
- [x] CUDA
- [x] OpenCL
- [x] OpenVINO
- [x] CANN
- [x] TIMVX
- ~Vulkan~ (missing fundamental tools, like permutation and reshape)
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Extending G-API onnx::Params to pass arbitrary session options #25791
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Add missing cv2eigen overload #25751Fixes#16606
Add overloads to cv2eigen to handle eigen matrices of type
Eigen::Matrix<Tp_, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>
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Android SDK build script: HWAsan flags added for release mode #25746
A quick fix for #25718
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video: fix vittrack in the case where crop size grows until out-of-memory when the input is black #25771
Fixes https://github.com/opencv/opencv/issues/25760
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Use onRuntimeInitialized with OpenCV.js Node tests #25757
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tests: https://github.com/opencv/ci-gha-workflow/pull/174
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Accuracy tests for equalizeHist() added #25759
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Fix OpenCV.js tests #25732
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* Firefox tests passed
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Android SDK build script: HWAsan support added #25718
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Relates to #24603
### Pull Request Readiness Checklist
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