All of human evolution and technology have led to this achievement. NASA is jealous of these image dimensions. 420,000 screenshots is like.... 5% of the satellite images google maps uses to make a coverage map the entire planet.
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from PIL import Image
import numpy as np
def compare_images(image_path1, image_path2, output_path):
img1 = Image.open(image_path1)
img2 = Image.open(image_path2)
if img1.size != img2.size:
raise ValueError("Images must be the same size.")
# Convert images to numpy arrays
arr1 = np.array(img1)
arr2 = np.array(img2)
if arr1.shape != arr2.shape:
raise ValueError("Images must have the same number of channels.")
# Find where pixels are the same (set to black) and different (set to red)
diff = np.zeros_like(arr1)
mask = np.any(arr1 != arr2, axis=-1) # True where pixels differ
diff[..., 0] = mask * 255 # Red channel
diff[..., 1] = 0 # Green channel
diff[..., 2] = 0 # Blue channel
# Convert back to image
output_img = Image.fromarray(diff)
output_img.save(output_path)