调试
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@ -468,6 +468,7 @@ def train(hyp, opt, device, data_list,id,callbacks): # hyp is path/to/hyp.yaml
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if RANK in {-1, 0}:
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LOGGER.info(f'\n{epoch - start_epoch + 1} epochs completed in {(time.time() - t0) / 3600:.3f} hours.')
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for f in best:
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print('##################',f)
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if os.path.exists(f):
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strip_optimizer(f) # strip optimizers
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if f is best:
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