Update app.py

app.py

@@ -47,8 +47,8 @@ def process_frame(image):
     
     predicted_depth = model(input_tensor).predicted_depth
     depth_map = predicted_depth.squeeze().cpu().numpy()
-unique_values = np.unique(depth_map)
-print(f"Number of unique depth values: {len(unique_values)}")
+    unique_values = np.unique(depth_map)
+    print(f"Number of unique depth values: {len(unique_values)}")
     depth_map = (depth_map - depth_map.min()) / (depth_map.max() - depth_map.min())
     depth_map = (depth_map * 255).astype(np.uint8)
     depth_map_colored = cv2.applyColorMap(depth_map, cv2.COLORMAP_INFERNO)