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https://github.com/graphdeco-inria/gaussian-splatting
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Reestablished control over pipeline from remote
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train.py
2
train.py
@ -54,7 +54,7 @@ def training(dataset, opt, pipe, testing_iterations, saving_iterations, checkpoi
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while network_gui.conn != None:
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try:
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net_image_bytes = None
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custom_cam, do_training, pipe.do_shs_python, pipe.do_cov_python, keep_alive, scaling_modifer = network_gui.receive()
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custom_cam, do_training, pipe.convert_SHs_python, pipe.compute_cov3D_python, keep_alive, scaling_modifer = network_gui.receive()
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if custom_cam != None:
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net_image = render(custom_cam, gaussians, pipe, background, scaling_modifer)["render"]
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net_image_bytes = memoryview((torch.clamp(net_image, min=0, max=1.0) * 255).byte().permute(1, 2, 0).contiguous().cpu().numpy())
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