Comments (2)
I gave it a go and astropy's convolution library fixed the problem of NaNs spreading through the convolution (see figure below). Thanks @borgstad for the suggestion! I'll update the image_std()
function asap.
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hi @borgstad , thanks for picking this up. The image classification can be improved with a convolution that can handle NaN values. Did you already implement the fix with astropy yourself? Is it as fast as the scipy uniform_filter
? It would be great if you could make a pull request, thanks!
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