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train.py
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train.py
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@ -53,7 +53,7 @@ def train(
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if resume: # Load previously saved PyTorch model
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if transfer: # Transfer learning
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chkpt = torch.load(weights + 'yolov3-tiny.pt', map_location=device)
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chkpt = torch.load(weights + 'yolov3.pt', map_location=device)
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model.load_state_dict(
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{k: v for k, v in chkpt['model'].items() if (int(k.split('.')[1]) + 1) not in yl}, strict=False)
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for (name, p) in model.named_parameters():
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