File size: 419 Bytes
f656e2b |
1 2 3 4 5 6 7 8 9 10 |
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])]
|