services/shadow_detection.py

import numpy as np  # Import NumPy for array operations
from PIL import Image  # Import PIL for image conversion

# Function to detect shadows or dust (optional, for preprocessing)
def detect_shadows(image):
    grayscale = np.array(Image.fromarray(image).convert('L'))  # Convert to grayscale
    shadow_area = grayscale < 50  # Threshold for shadow/dust detection
    shadow_locations = np.where(shadow_area)  # Get coordinates of shadows
    return [{"type": "Shadow/Dust", "location": (x, y)} for x, y in zip(shadow_locations[1], shadow_locations[0])]  # Return list of shadows