David,
After playing around with this file and the various elements of
image.py, I've determined that the pil_to_array function in
matplotlib.image works just fine, so the place where the problem is
introduced in imread is the read_png function in matplotlib._png. So a
simpler work-around for this file than reading each bit into a bool
array yourself would be to import Image (PIL) and matplotlib.image to
call the pil_to_array function on an Image.open'd object directly:
import Image
import matplotlib.image as image
import pylab as p
x = image.pil_to_array(Image.open('bin.png')); p.imshow(x); p.show()
In the mean time, I'll see if the devel list has some better insight
on the issue.
Josh
On Thu, Oct 23, 2008 at 1:52 PM, David Warde-Farley <[EMAIL PROTECTED]> wrote:
>
> On 23-Oct-08, at 4:43 PM, David Warde-Farley wrote:
>
>> Sure; see http://morrislab.med.utoronto.ca/~dwf/bin.png
>>
>> In [12]: x = imread('bin.png'); imshow(x)
>>
>> produces a colourful plot that bears no resemblance to the original.
>
>
> Two other things:
>
> a) PIL can read in these without incident; my work around has been to
> open with PIL and manually read each bit into a dtype=bool numpy array.
>
> b) I might add that what appears seems to be cyclic, making me think
> that it's trying to read a few bytes for each pixel where in fact
> there is only a single bit, and thus reading far less data than it's
> expecting, and thus only has a few columns worth of pixels that is
> somehow getting repeatedly referenced in the numpy array. This is all
> just (mildly educated) guesswork though.
>
> David
>
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