How to convert pixels stored in a list into an image with python?

Using PIL, you can create an image using an array:

from PIL import Image
import numpy as np
img = Image.fromarray(np.array(pix).astype(np.uint8))

Now, you may look at the image:

img.show()

Good thing is, from now on, you can benefit from all of PIL's toolcase for image processing (resize, thumbnail, filters, ...).

Here's how to do it using OpenCV. By default, OpenCV uses Numpy arrays to display images so you can simply convert the list into a <class 'numpy.ndarray'>.

Result:

import numpy as np
import cv2

pix = [
    [[90, 94, 6], [126, 108, 24], [180, 116, 42], [166, 116, 46], [72, 94, 31]],
    [[101, 96, 14], [190, 165, 84], [202, 134, 63], [170, 115, 50], [40, 50, 0]],
    [[145, 125, 53], [150, 112, 40], [148, 73, 6], [156, 90, 31], [25, 11, 1]],
    [[133, 124, 57], [165, 142, 75], [195, 142, 77], [169, 120, 62], [82, 74, 28]],
    [[73, 105, 40], [56, 77, 10], [138, 135, 67], [97, 95, 34], [45, 69, 21]],
]

# Convert to ndarray
img = np.array(pix).astype(np.uint8)

# Save image
cv2.imwrite('img.png', img)

# Display image
cv2.imshow('img', img)
cv2.waitKey()

The answer above transforms your list into a PIL Image. If you just want to see the image, you can do this:

import matplotlib.pyplot as plt

plt.imshow(pix)