I am trying to accelerate some image processing that requires tasks not currently available in any one python CUDA module. For example, cupy has a lot of numpy/scipy functions that are not available in OpenCV. I'm curious if anyone has had success passing the data on the GPU between different code bases, instead of spending a lot of compute time passing back and forth between CPU and GPU to do the conversions? I'm specifically interested in cupy but could use any experiences with other codes as a start.
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