Create shadow_detection.py

services/shadow_detection.py

@@ -0,0 +1,9 @@
+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])]