Hi,
Apologies if this is an inappropriate question for this forum.
I have a collection of (1024x1024) mono-chromatic images in which each
pixel is to be labeled as 1 of several categories (e.g., 10).
Furthermore, each mono-chromatic image was captured through several
filters (e.g., 5).
My understanding of the sci-kit documentation is that I would train a
classifier on a pixel-by-pixel basis and then apply it, to new images,
on a pixel-by-pixel basis. Is that correct?
Thanks for your time.
-- jv
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