CODEWITHSUNDEEP
pythonimageimread
Yly
Yly

Reputation: 2310

Python imread bug: "Unsupported BMP bitfields layout"

I seem to have encountered a bug in scipy.misc.imread, and I'm looking for a workaround. Here's a clip of the error report:

from scipy.misc import imread
im = imread('380.bmp')
...

C:\Anaconda3\lib\site-packages\PIL\BmpImagePlugin.py in _bitmap(self, header, offset)
145                     raw_mode = MASK_MODES[(file_info['bits'], file_info['rgb_mask'])]
146                 else:
--> 147                     raise IOError("Unsupported BMP bitfields layout")
148             else:
149                 raise IOError("Unsupported BMP bitfields layout")

OSError: Unsupported BMP bitfields layout

I can open the image without problems in an image viewer, so I'm sure it's not corrupted.

The main question is: What's the best alternative to imread, so I can get around this issue? Alternatively, if you know a way to fix imread, that would also be good.

By the way, I'm using Python 3.5.1 in Anaconda 2.4.1 (64 bit)

Upvotes: 3

Views: 2417

Answers (2)

yogurt
yogurt

Reputation: 11

I also got this same error while using PIL.Image.

This error message is a bit generic and there are a lot of possibilities of what went wrong, but in my case it was a bitmap that was in fact valid and therefore should have been supported. I filed an issue on PIL's Github and they agreed it was a bug and gave me a fix. See https://github.com/python-pillow/Pillow/issues/6435 .

Hopefully the fix will be released in a future version of PIL (>= 9.3.0).

Upvotes: 1

imankalyan
imankalyan

Reputation: 195

I had been facing the same error while using PIL.Image. I bypassed the issue using cv2. My code is something like this:

import cv2 #pip install opencv-python
from PIL import Image #pip install pillow
temp_img = cv2.imread(filename.bmp)
color_corrected = cv2.cvtColor(temp_img, cv2.COLOR_BGR2RGB)
img = Image.fromarray(color_corrected)

Best of luck.

Upvotes: 1

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