Corrupted image is being saved with PIL

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I am having an issue whereby manipulating image pixels is causing a corrupted image to be saved...

So, I open an image using PIL, and then convert it to a NumPy array:

image = Image.open("myimage.png")
np_image = np.asarray(image)

Then, I transpose the image, to convert it from [x][y][channel] to [channel][x][y]:

pixels = np.transpose(np_image, (2, 0, 1))

If I then set this transpose this image back to [x][y][channel], create a PIL image from this array, and then save the image:

image1 = np.transpose(pixels, (1, 2, 0))
image2 = Image.fromarray(image1, 'RGB')
image2.save('image2.png')

Then the image saved is identical to "myimage.png".

However, if instead of the above code, I first assign pixels to an element in an array of images:

images = np.array([10, 3, 50, 50]) # The images are 50x50 with 3 channels
images[0] = pixels
image3 = np.transpose(images[0], (1, 2, 0))
image4 = Image.fromarray(image3, 'RGB')
image4.save('image4.png')

Then "image4.png" is corrupted. It appears as follows:

Whereas "myimage.png" is actually:

So why is it that if I save the image when I directly transpose pixels, the image saved is as expected, but when I set pixels to the first element in the array images, and then transpose this image, the saved image is corrupted?

Thanks!

asked 23 secs ago

Karnivaurus

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Corrupted image is being saved with PIL