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Showing 1 results of 1

From: Andrew S. <str...@as...> - 2004年10月19日 18:09:33
Hi All,
I just added support for PIL (Python Imaging Library, for those living 
in a cave) images to imshow(). This was acheived largely through the 
creation of a pil_to_array() function in image.py, which may be useful 
for other purposes. I've tested the code with numarray and Numeric and 
several image types and checked it into CVS this morning.
This code does not add a dependency on PIL to matplotlib -- it merely 
uses PIL object attributes if they happen to get passed in. (I think 
it's important to keep matplotlib's dependency list from growing without 
reason.)
I would like to test the pil_to_array() function for the case of >8-bit 
per channel images that (IIRC) PIL supports. If anyone has such images, 
could they either 1) send one to me or 2) run them through 
pil_to_array() and fix it?
Note that *display* of such high dynamic range will currently only be 
possible with single channel data passed through a colormap because the 
matplotlib's _image.cpp uses 8 bits per channel. (Not that anyone's 
display device is likely to make use of this information -- and if you 
have such a device, I'd love to hear about it!)
Cheers!
Andrew

Showing 1 results of 1

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