PIL "IOError: image file truncated" with big images

I'm a little late to reply here, but I ran into a similar problem and I wanted to share my solution. First, here's a pretty typical stack trace for this problem:

Traceback (most recent call last):  ...  File ..., line 2064, in ...    im.thumbnail(DEFAULT_THUMBNAIL_SIZE, Image.ANTIALIAS)  File "/Library/Python/2.7/site-packages/PIL/Image.py", line 1572, in thumbnail    self.load()  File "/Library/Python/2.7/site-packages/PIL/ImageFile.py", line 220, in load    raise IOError("image file is truncated (%d bytes not processed)" % len(b))IOError: image file is truncated (57 bytes not processed)

If we look around line 220 (in your case line 201—perhaps you are running a slightly different version), we see that PIL is reading in blocks of the file and that it expects that the blocks are going to be of a certain size. It turns out that you can ask PIL to be tolerant of files that are truncated (missing some file from the block) by changing a setting.

Somewhere before your code block, simply add the following:

from PIL import ImageFileImageFile.LOAD_TRUNCATED_IMAGES = True

...and you should be good.

EDIT: It looks like this helps for the version of PIL bundled with Pillow ("pip install pillow"), but may not work for default installations of PIL

Best thing is that you can:

if img and img.meta_type == 'Image':    pilImg = PIL.Image.open( StringIO(str(img.data)) )elif imgData:    pilImg = PIL.Image.open( StringIO(imgData) )try:    pilImg.load()except IOError:    pass # You can always log it to loggerpilImg.thumbnail((width, height), PIL.Image.ANTIALIAS)

As dumb as it seems - it will work like a miracle. If your image has missing data, it will be filled with gray (check the bottom of your image).

Note: usage of camel case in Python is discouraged and is used only in class names.

Here is what I did:

• Edit LOAD_TRUNCATED_IMAGES = False line from /usr/lib/python3/dist-packages/PIL/ImageFile.py:40 to LOAD_TRUNCATED_IMAGES = True.

Editing the file requires root access though.I encountered this error while running some pytorch which was maybe using the PIL library.

Do this fix only if you encounter this error, without directly using PIL.

Else please do

from PIL import ImageFileImageFile.LOAD_TRUNCATED_IMAGES = True