Update train.py with yaml.SafeLoader (#1972)
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@@ -479,7 +479,7 @@ if __name__ == '__main__':
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assert os.path.isfile(ckpt), 'ERROR: --resume checkpoint does not exist'
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apriori = opt.global_rank, opt.local_rank
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with open(Path(ckpt).parent.parent / 'opt.yaml') as f:
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opt = argparse.Namespace(**yaml.load(f, Loader=yaml.FullLoader)) # replace
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opt = argparse.Namespace(**yaml.load(f, Loader=yaml.SafeLoader)) # replace
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opt.cfg, opt.weights, opt.resume, opt.batch_size, opt.global_rank, opt.local_rank = '', ckpt, True, opt.total_batch_size, *apriori # reinstate
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logger.info('Resuming training from %s' % ckpt)
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else:
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@@ -503,7 +503,7 @@ if __name__ == '__main__':
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# Hyperparameters
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with open(opt.hyp) as f:
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hyp = yaml.load(f, Loader=yaml.FullLoader) # load hyps
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hyp = yaml.load(f, Loader=yaml.SafeLoader) # load hyps
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# Train
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logger.info(opt)
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