Create shadow_map.py

shadow_map.py

@@ -0,0 +1,19 @@
+import cv2, numpy as np
+from PIL import Image
+
+def analyze_uv_exposure(image_path):
+    img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
+    blur = cv2.GaussianBlur(img, (11,11), 0)
+    _, mask = cv2.threshold(blur, 100, 255, cv2.THRESH_BINARY)
+    coverage = np.count_nonzero(mask) / mask.size * 100
+
+    overlay = Image.open(image_path).convert("RGBA")
+    pixels = overlay.load()
+    for y in range(overlay.height):
+        for x in range(overlay.width):
+            if mask[y, x] == 0:
+                pixels[x, y] = (255, 0, 0, 125)
+
+    annotated_path = f"annotated_{image_path.split('/')[-1]}"
+    overlay.save(annotated_path)
+    return round(coverage, 2), annotated_path