Loads different pixel values on Windows vs Linux

[mikeobr]

What did you do?

Loaded an image and checked a pixel value.

What did you expect to happen?

Identical values on windows and linux.

What actually happened?

Values differed by a visible amount.

What are your OS, Python and Pillow versions?

• OS: Windows 10, Amazon Linux
• Python: 3.7
• Pillow: 6.0.0

from PIL import Image
import numpy as np
import cv2

test = Image.open("test.jpg")
print(Image.core.jpeglib_version)
print(np.array(test)[35][97])
print(cv2.imread("test.jpg")[35][97][::-1])
# output on windows 10, python 3.7, Pillow 6.0.0
# 6.2
# [188  87 145]
# [188  87 145]

# output on linux, python 3.7, pillow 6.0.0, cv2 is the same, pillow differs
# 9.0
# [196  83 147]
# [188  87 145]

Additional Debug info

The input image has an sRGB color profile.

Based on what I've read online, this is may be related to the jpeglib version. However I'm confused about how Pillow links to this dependency and uses it. I'm a little stuck as to how to make the code consistent between os + versions.

[radarhere]

How did you install Pillow on Windows and Linux? If you are just interested in consistency, the simplest thing might be to install jpeg 6.2 on Linux.

[mikeobr]

Pillow was installed just via pip install Pillow.

I am interested in consistency, but the 6.2 jpeglib also seems pretty inaccurate, maybe it is ignoring the color profiles and the outputs are perceivably different.

I tried using this conda environment on windows: https://anaconda.org/anaconda/pillow. It has version 9 jpeglib and produces results in line with what I saw on Linux.

[cgohlke]

The Windows wheels are built with libjpeg-turbo-2.0, which emulates the libjpeg v6b API/ABI by default. libjpeg-turbo can be compiled for the v7 or v8 API/ABI, but not v9.

[albert-92]

Will there be a fix any time soon?

[envil]

I encounter the same problem. Step to reproduce:

1. Read an image on Windows and Linux/UNIX:

def image_from_data(image_data: bytes) -> Image:
    buffer = io.BytesIO(image_data)

    return Image.open(buffer)

2. Save the pickles of both versions of Pillow image objects:

# on Windows
pickle.dump(image_windows, open('image_windows.pickle', 'wb'))

# on Linux/UNIX
pickle.dump(image_linux, open('image_linux.pickle', 'wb'))

3. Compare both images:

image_diff = ImageChops.logical_xor(image_windows.convert('1'), image_linux.convert('1'))
image_diff.show()

Here's the result:

Black dots mean similar, white dots means different.

We've tried to use the same python version, Pillow version but the results are still the same.

[cgohlke]

As mentioned before, the Windows wheels are built with libjpeg-turbo, the Linux wheels are not. JPEG decoders are allowed to produce slightly different results, "a maximum of one bit of difference for each pixel component" according to Wikipedia.

[radarhere]

For more discussion on this, see #4686