ValueError: cannot reshape array of size 8192000 into shape (1600,1280,3)

[justnealpatel]

This error is coming from

def load_image_into_numpy_array(image):
    (im_width, im_height) = image.size
    return np.array(image.getdata()).reshape(
        (im_height, im_width, 3)).astype(np.uint8)

The image size in question is 1600 x 1280. The original shape is (1600, 1280, 4) which is why it's unable to go from 4 to 3. The other dimensions would also need changing.

I'm still getting introduced to this side of development so this is all fairly new to me. Any advice is appreciated!

I am using these versions:

• Tensorflow: 2.4.0 (had to install this due to pip not finding the 2.0.1 version)
• Pillow: 8.1.0
• Numpy: 1.19.5
• macos: 10.15.6

[justnealpatel]

I'm wondering if there's a better mathematical approach we can use to make sure that the array size will always equal the shape.