Log hyperparameters in tensorboard
Log both hyperparameters and command line options in tensorboard.
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train.py
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train.py
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@ -58,6 +58,14 @@ def train(hyp):
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with open(Path(log_dir) / 'opt.yaml', 'w') as f:
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with open(Path(log_dir) / 'opt.yaml', 'w') as f:
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yaml.dump(vars(opt), f, sort_keys=False)
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yaml.dump(vars(opt), f, sort_keys=False)
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# Log hyperparameters in tensorboard
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if tb_writer:
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tb_hparams_dict = hyp
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tb_hparams_dict.update(vars(opt))
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tb_hparams_dict['img_size_w'], tb_hparams_dict['img_size_h'] = tb_hparams_dict['img_size']
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del tb_hparams_dict['img_size']
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tb_writer.add_hparams(tb_hparams_dict, {})
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epochs = opt.epochs # 300
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epochs = opt.epochs # 300
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batch_size = opt.batch_size # 64
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batch_size = opt.batch_size # 64
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weights = opt.weights # initial training weights
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weights = opt.weights # initial training weights
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