On Fri, Oct 28, 2011 at 12:58 PM, Gary Strangman <strang@nmr.mgh.harvard.edu
wrote:
I wonder if that might be handled as a scikits-image extension, rather than core numpy?
I think Stefan and Nathaniel and Gary Strangman and others are saying we don't want to pay the price of a large memory hike for masking. I suspect that Nathaniel is right, and that a large majority of those of us who want 'missing data' functionality, also want what we've called ABSENT missing values, and care about memory.
FWIW, Matthew correctly interprets my concerns. I also have very large non-image datasets, so pushing the problem into a more custom extension (esp. one focused on images) doesn't help me much.
-best Gary
I would wonder if the masks could benefit from the approach used for the "carray" (compressed arrays) project? Ben Root