Update app.py

app.py

@@ -47,7 +47,7 @@ def depth_normal(img):
     cv_image = np.array(img) 
     img = cv2.cvtColor(cv_image, cv2.COLOR_BGR2RGB)
     intrinsic = [1000.0, 1000.0, img.shape[1]/2, img.shape[0]/2]
-    rgb_input, cam_models_stacks, pad, label_scale_factor = transform_test_data_scalecano(rgb_origin, intrinsic, cfg.data_basic)
+    rgb_input, cam_models_stacks, pad, label_scale_factor = transform_test_data_scalecano(img, intrinsic, cfg.data_basic)
 
     with torch.no_grad():
         pred_depth, pred_depth_scale, scale, output = get_prediction(