forgot to have it pull from specified noise to the hdf5 dataset
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77292c42f9
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ae9d38aa31
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@ -475,7 +475,6 @@ try:
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if not cfg.dataset.use_hdf5:
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if not cfg.dataset.use_hdf5:
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cfg.dataset.training = [ Path(dir) for dir in cfg.dataset.training ]
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cfg.dataset.training = [ Path(dir) for dir in cfg.dataset.training ]
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cfg.dataset.validation = [ Path(dir) for dir in cfg.dataset.validation ]
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cfg.dataset.validation = [ Path(dir) for dir in cfg.dataset.validation ]
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cfg.dataset.noise = [ Path(dir) for dir in cfg.dataset.noise ]
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cfg.dataset.noise = [ Path(dir) for dir in cfg.dataset.noise ]
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except Exception as e:
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except Exception as e:
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pass
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pass
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@ -638,6 +638,10 @@ def create_dataset_hdf5():
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for data_dir in tqdm(cfg.dataset.validation, desc='Processing Validation'):
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for data_dir in tqdm(cfg.dataset.validation, desc='Processing Validation'):
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add( data_dir, type="validation" )
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add( data_dir, type="validation" )
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# noise
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for data_dir in tqdm(cfg.dataset.noise, desc='Processing Noise'):
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add( data_dir, type="noise" )
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# write symmap
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# write symmap
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hf.create_dataset('symmap', data=json.dumps(symmap))
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hf.create_dataset('symmap', data=json.dumps(symmap))
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