On Tue, May 12, 2009 at 15:32, Chris Colbert <sccolbert@gmail.com> wrote:
This is interesting.
I have always done RGB imaging with numpy using arrays of shape (height, width, 3). In fact, this is the form that PIL gives when calling np.asarray() on a PIL image.
It does seem more efficient to be able to do a[0],a[1],a[2] to get the R, G, and B channels respectively. This, obviously is not currently the case.
It's not *that* much more efficient.
Would it be better for me to switch to this way of doing things and/or work a patch for PIL so that the array is built in the form (3, height, width)?
Submitting a patch for PIL would neither be successful, nor worth your time. Not to mention breaking existing code. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco