Quick (and dumb) question is there a difference between a Mat and GpuMat? If I were to create a Mat on the CPU, copy it to the GPU using the Cuda copy calls then perform actions on that Mat in a Cuda kernel, vs creating a GPUMat, passing that pointer to my Cuda kernel and performing actions on that, is there anything different between the two?
Thanks.
Before you do this you may want to check if the host memory can be mapped into GPU memory by using the function gpu::CudaMem::canMapHostMemory. If the mapping is supported, you should be good to go.
Does it matter that I am trying to do a "cuMemcpyHtoD" instead of trying to map and use the host memory? I am using the pre-built version of openCV (with no GPU support) and instead of recompiling to get the GPU support from OpenCV, I was just going to do a "quick and dirty" attempt at using the source code to one of the Optical Flow Algorithm in the .cu file and changing some variable types etc. but I did not know if the GPUMat was extremely different from the cvMat or basically interchangeable. Its a long story of why I am doing this but it boiled down to performance of opencv and UDP streams (h.264).
Asked: 2014-07-08 15:09:39 -0600
Seen: 1,523 times
Last updated: Jul 08 '14
