Upload app.py

app.py

@@ -62,17 +62,16 @@ DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 CONF   = 0.45
 
 def apply_mask_overlay(img_rgb, mask_bool, color=(0, 215, 255), alpha=0.4):
-    # 1. Cinematic Background (Bokeh/Blur effect + darkened)
-    blurred_bg = cv2.GaussianBlur(img_rgb, (35, 35), 0)
-    background = cv2.addWeighted(blurred_bg, 0.6, np.zeros_like(img_rgb), 0.4, 0)
+    # 1. Darken the background (50% brightness, no blur)
+    dark_bg = cv2.addWeighted(img_rgb, 0.5, np.zeros_like(img_rgb), 0.5, 0)
     
-    # 2. Keep the segmented mask area perfectly sharp and tint it
+    # 2. For the mask area, keep original brightness and tint it
     tinted_sharp = img_rgb.copy()
     tinted_sharp[mask_bool] = color
     tinted_sharp = cv2.addWeighted(tinted_sharp, alpha, img_rgb, 1 - alpha, 0)
     
-    # 3. Combine: Blurred background + Sharp highlighted object
-    blended = np.where(mask_bool[:, :, None], tinted_sharp, background)
+    # 3. Combine: Dark background outside, Bright tinted object inside
+    blended = np.where(mask_bool[:, :, None], tinted_sharp, dark_bg)
     
     # 4. Multi-layered Glowing Edge for the mask
     mask_img = (mask_bool * 255).astype(np.uint8)