FastCV Extension code for OpenCV 2ndpost-1 #3844
Depends on: [opencv/opencv#26617](https://github.com/opencv/opencv/pull/26617)
Requires binary from [opencv/opencv_3rdparty#90](https://github.com/opencv/opencv_3rdparty/pull/90)
### Pull Request Readiness Checklist
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Depends on https://github.com/opencv/opencv/pull/26316
### 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
- [ ] The PR is proposed to the proper branch
- [ ] 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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Get CUDA code to compile with clang CUDA and without CUDA #3800
Changelist:
- there are some syntactic changes: `<< <` -> `<<<`. For some reason, I do not need to change all those in the code.
- `::min` -> `std::min` in `__host__` code
- `modules/cudaimgproc/src/moments.cpp` needs to have the CUDA code in the `#ifdef`
- The signature of `cv::cuda::swapChannels` is not exactly the same as the C++ one in `modules/cudaimgproc/src/color.cpp`
- `cv::cuda::FarnebackOpticalFlow::create` needs to be explicit about which FarnebackOpticalFlow it returns
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Fix(wechat_code): Modify isnan for compatibility with -ffast_math. #3490fix#3150
Merge with https://github.com/opencv/opencv/pull/23881
Reference: https://stackoverflow.com/questions/7263404/mingw32-stdisnan-with-ffast-math
### Pull Request Readiness Checklist
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first proposal of cv::remap with relative displacement field
Relates to [#24621](https://github.com/opencv/opencv/pull/24621), [#24603](https://github.com/opencv/opencv/issues/24603)
CUDA implementation of the feature
### Pull Request Readiness Checklist
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Add interleaved versions of phase/cartToPolar/polarToCart #3607
This PR is for performance only (at the cost of more template code and increased GPU code size) The additional variants can help the caller skip the creation of temporary GPU mats (where memory is more likely to be a critical resource), and can even allow in-place processing. magnitude/angles/x/y are often already interleaved when dealing with DFTs.
### Pull Request Readiness Checklist
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supports empty kernels in cuda::SeparableLinearFilters #3731
[#25408](https://github.com/opencv/opencv/issues/25408)
When only 1D convolution is needed (row or column filter only), `cuda::LinearFilter` might be slower than `cuda::SeparableLinearFilter`
Using `cuda::SeparableLinearFilter` for 1D convolution can be done by using a `(1)` kernel for the ignored dimension.
By supporting empty kernels in `cuda::SeparableLinearFilter`, there is no need for that `(1)` kernel any more.
Additionaly, the inner `_buf ` used to store the intermediate convolution result can be saved when a single convolution is needed.
In "legacy" usage (row+col kernels), there is no regression in `cuda::SeparableLinearFilter` performance.
As soon as an empty kernel is used, the performance is largely increased.
Devil in the details : the "in-place" processing is supported and might need intermediate buf, but still no regression.
- [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
- [X] 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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Add conditional include for <cuda/std/tuple> to support CUDA 12.4+ #3751
Fixes https://github.com/opencv/opencv_contrib/issues/3752
Adds a preprocessor check to conditionally include <cuda/std/tuple> only for CUDA versions 12.4 and above. This ensures backward compatibility with older legacy CUDA versions.
Related to pull request #3744
### Pull Request Readiness Checklist
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Added CUDA 12.4+ support #3744
Tries to fix https://github.com/opencv/opencv_contrib/issues/3690 for CUDA 12.4+
Related patch to main repo: https://github.com/opencv/opencv/pull/25658
Changes:
- Added branches to support new variadic implementation of thrust::tuple
- Added branch with std::array instead of std::tuple in split-merge and grid operations. The new branch got rid of namespace clash: cv::cuda in OpenCV and ::cuda in CUDA standard library (injected by Thrust). Old tuple branches presumed for compatibility with old code and CUDA versions before 12.4.
### 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
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Patch to opencv_extra has the same branch name.
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Misc thinning fixes. #3743
- edges could be modified
- 2 sets of iterations were always done even if the first set did not return any change
- countNonZero is slow compared to hasNonZero
### 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
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
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