[SciPy-User] fromimage/imread segfaults on my images
Mon Mar 8 13:58:08 CST 2010
Daniel Lenski wrote:
> I'm using SciPy to process some sparse binary images with a resolution of
> about 5000x5000 pixels. I try to load images like this:
> im = Image.open('/tmp/foo.pbm')
> print "Image loaded, size is %s and mode is %s." % (im.size, im.mode)
> arr = fromimage(im)
> arr = imread('/tmp/foo.pbm')
where do fromimage and imread come from? "namespaces are one honking
> In either case, I get a segfault. The segfault is definitely in the
> SciPy code, rather than the PIL code, since PIL's Image.open runs fine.
don't be so sure -- I think PIL used lazy loading, so it doesn't
actually read all the data with the open call, but rather when you try
to do something with it.
I'd try making a few calls on the PIl image, and make sure it is what
you expect. If it is, the easiest way to get it into a numpy array is:
do you have a smaller image in the same format you can experiment with?
That might make it easier to figure out.
> I don't know any other good, reliable way
> to get a big image into an array :-(
if you really can't get PIL to work, pbm looks really simple:
read the header, then read the data with np.fromfile(), then convert to
a uint8 array with np.unpackbits().
You could also take a look at MPL's imread() and see what it does -- I
don't think MPL requires PIL, though I could be wrong.
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