fix constructor of resnet

pbnr_pytorch/train_full_pipeline.py

@@ -113,8 +113,7 @@ if input_json.get("neural_weights_folder"):
     neural_renderer = torch.jit.load(os.path.join(input_json.get("neural_weights_folder"), "model_" + str(load_iter)))
 else:
     # 5 + extra_features is 3 for color and 2 for depth and backgrouind bleeding
-    neural_renderer = FixUpResNet(views=args.input_views,
-                                  in_channels=args.extra_features+3,
+    neural_renderer = FixUpResNet(in_channels=args.extra_features+3,
                                   internal_depth=args.internal_depth,
                                   blocks=args.residual_blocks,
                                   kernel_size=3,