updates
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train.py
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train.py
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@ -211,7 +211,7 @@ def train():
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print('Starting training for %g epochs...' % epochs)
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for epoch in range(start_epoch, epochs): # epoch ------------------------------------------------------------------
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model.train()
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model.hyps['gr'] = 1 - (1 + math.cos(min(epoch * 2, epochs) * math.pi / epochs)) / 2 # GIoU <-> 1.0 ratio
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model.hyp['gr'] = 1 - (1 + math.cos(min(epoch * 2, epochs) * math.pi / epochs)) / 2 # GIoU <-> 1.0 loss ratio
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# Prebias
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if prebias:
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