PIL "IOError: image file truncated" with big images

Solution 1:

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 ImageFile
ImageFile.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

Solution 2:

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 logger

pilImg.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.

Solution 3:

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 ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True

Solution 4:

This might not be a PIL issue. It might be related to your HTTP Server setting. HTTP servers put a limit on the size of the entity body that will be accepted.

For eg, in Apache FCGI, the option FcgidMaxRequestLen determines the maximum size of file that can be uploaded.

Check that for your server - it might be the one that is limiting the upload size.

Solution 5:

I was trapped with the same problem. However, setting ImageFile.LOAD_TRUNCATED_IMAGES = True is not suitable in my case, and I have checked that all my image files were unbroken, but big.

I read the images using cv2, and then converted it to PIL.Image to get round the problem.

img = cv2.imread(imgfile, cv2.IMREAD_GRAYSCALE)
img = Image.fromarray(img)