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@@ -50,10 +50,9 @@ def train(
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# model = nn.DataParallel(model)
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model.to(device).train()
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# # Transfer learning (train only YOLO layers)
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# Transfer learning (train only YOLO layers)
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# for i, (name, p) in enumerate(model.named_parameters()):
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# if p.shape[0] != 650: # not YOLO layer
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# p.requires_grad = False
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# p.requires_grad = True if (p.shape[0] == 255) else False
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# Set optimizer
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optimizer = torch.optim.SGD(filter(lambda x: x.requires_grad, model.parameters()), lr=lr0, momentum=.9)
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