updates
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train.py
4
train.py
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@ -93,10 +93,10 @@ def main(opt):
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for epoch in range(opt.epochs):
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epoch += start_epoch
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# Random input
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# Multi-Scale Training
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# img_size = random.choice(range(10, 20)) * 32
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# dataloader = ListDataset(train_path, batch_size=opt.batch_size, img_size=img_size)
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# print('Running image size %g' % img_size)
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# print('Running this epoch with image size %g' % img_size)
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# Update scheduler
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# if epoch % 25 == 0:
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