import numpy as np | |
def detect_shadows(image): | |
# Simulate dust/shadow detection (using simple thresholding) | |
grayscale = np.array(image.convert('L')) # Convert image to grayscale | |
shadow_area = grayscale < 50 # Example threshold for shadows/dust | |
shadow_locations = np.where(shadow_area) | |
return [{"type": "Shadow/Dust", "location": (x, y)} for x, y in zip(shadow_locations[0], shadow_locations[1])] | |