System Information

OpenCV 4.6.0
Windows 7 64 bits
Visual Studio 2019 (latest)
NVidia CUDA SDK (10.2)

Detailed description

As claimed by the doc, CV_16UC1 is currently not supported by cv::cuda::transpose()
Internally, it is limited by CV_Assert( elemSize == 1 || elemSize == 4 || elemSize == 8 );

However, the limitation is hard to understand.

Currently, for (elemSize == 1), nppiTranspose_8u_C1R() is called

However, nppiTranspose_16u_C1R() does exist (among others). I looked at NPPI old release notes, it was already present in the CUDA SDK 8.0 (https://docs.nvidia.com/cuda/archive/8.0/pdf/NPP_Library_Image_Support_And_Data_Exchange.pdf)

Thus, I don't understand why only nppiTranspose_8u_C1R() is to be used.

Steps to reproduce

cv::cuda::GpuMat src(1, 2, CV_16UC1);
cv::cuda::GpuMat dst;
cv::cuda::transpose(src, dst);//unfortunately not supported

Issue submission checklist

• I report the issue, it's not a question
• I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
• I updated to the latest OpenCV version and the issue is still there
• There is reproducer code and related data files (videos, images, onnx, etc)