cv::gpu::sepFilter2D maximum kernel size
Hi,
I just came across the hard coded maximum kernel size of 32 running cv::gpu::sepFilter2D
OpenCV Error: Assertion failed (ksize > 0 && ksize <= 32) in getLinearRowFilter_GPU
Is there a reason for that? I tried using two convolutions instead, but that seems to be much slower (I guess because twice dft is more expensive than a seperated filter). What's the appropriate way to work around that?
Cheers, Andreas