Hi,
We've been using PIL for the last 2 years to resize our users' uploaded
images and have been extremely pleased. Thanks for all your effort.
I noticed earlier today that we were experiencing issues of servers running
out of memory. It looks like the problem might be within PIL. I've put
together a few lines of code below that produce the same behavior. This is
the first time we've seen anything like this, and it seems to be a problem
with a specific image file (URL included in the code below) being converted
to RGB or resized. This is the only image file I've encountered that
produces this behavior. And no, I'm not quite sure why a user felt the need
to upload a 17M JPG... :)
I've tried both PIL 1.1.6 and 1.1.7, and the same behavior occurs on both
Ubuntu 8.04 and OS X 10.5.
A bug fix would be great, but given the infrequency of seeing this problem,
I'd settle for a way to detect whether the image I'm working with will cause
PIL issues so that I can avoid it.
Thanks!
-andy
##### Example Code #####
import StringIO
import urllib2
from PIL import Image
image_data = urllib2.urlopen('
http://media.giantbomb.com/uploads/8/84310/1291762-img016.jpg').read()
io = StringIO.StringIO(image_data)
img = Image.open(io)
# either of the following two lines causes Python to consume > 2G of memory
and not return.
converted_img = img.convert('RGB')
# or
resized_img = img.resize((200, 150), Image.ANTIALIAS)
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