updates
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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 model
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if resume: # Load previously saved model
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if transfer: # Transfer learning
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if transfer: # Transfer learning
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chkpt = torch.load(weights + 'yolov3-spp.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({k: v for k, v in chkpt['model'].items() if v.numel() > 1 and v.shape[0] != 255},
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model.load_state_dict({k: v for k, v in chkpt['model'].items() if v.numel() > 1 and v.shape[0] != 255},
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strict=False)
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strict=False)
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for p in model.parameters():
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for p in model.parameters():
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