Update app.py

app.py

@@ -575,8 +575,8 @@ def draw_mask(l, t, v, d, evt: gr.EventData):
 
 
 def findNormals():
-    global masks
-    d_im = cv2.imread(masks[frame_selected]).astype(np.uint8)
+    global depths
+    d_im = cv2.cvtColor(cv2.imread(depths[frame_selected]).astype(np.uint8), cv2.COLOR_RGB2GRAY)
     zy, zx = np.gradient(d_im)  
     # You may also consider using Sobel to get a joint Gaussian smoothing and differentation
     # to reduce noise