Reestablished control over pipeline from remote

train.py

@@ -54,7 +54,7 @@ def training(dataset, opt, pipe, testing_iterations, saving_iterations, checkpoi
         while network_gui.conn != None:
             try:
                 net_image_bytes = None
-                custom_cam, do_training, pipe.do_shs_python, pipe.do_cov_python, keep_alive, scaling_modifer = network_gui.receive()
+                custom_cam, do_training, pipe.convert_SHs_python, pipe.compute_cov3D_python, keep_alive, scaling_modifer = network_gui.receive()
                 if custom_cam != None:
                     net_image = render(custom_cam, gaussians, pipe, background, scaling_modifer)["render"]
                     net_image_bytes = memoryview((torch.clamp(net_image, min=0, max=1.0) * 255).byte().permute(1, 2, 0).contiguous().cpu().numpy())