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https://github.com/jertubiana/ScanNet.git
synced 2026-06-04 13:44:22 +08:00
Small bug fixes
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@@ -199,6 +199,7 @@ class Pipeline():
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print('Saving processed dataset...')
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t = time.time()
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env = {'inputs': inputs, 'outputs': outputs,'failed_samples':failed_samples}
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os.makedirs(os.path.dirname(location_processed_dataset),exist_ok=True)
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io_utils.save_pickle(
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env, location_processed_dataset)
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print('Processed dataset saved (t=%.f s)' % (time.time() - t))
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2
train.py
2
train.py
@@ -77,7 +77,7 @@ if __name__ == '__main__':
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'''
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check = False # Check = True to verify installation, =False for full training.
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train = True # True to retrain, False to evaluate the model shown in paper.
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use_evolutionary = True # True to use evolutionary information (requires hhblits and a sequence database), False otherwise.
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use_evolutionary = False # True to use evolutionary information (requires hhblits and a sequence database), False otherwise.
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Lmax_aa = 256 if check else 1024
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'''
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Maximum length of the protein sequences.
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@@ -21,7 +21,7 @@ if __name__ == '__main__':
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train = True # True to retrain, False to evaluate the model shown in paper.
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transfer = True # If False, retrain from scratch.
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freeze = False # If True, evaluate the binding site network without fine tuning.
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use_evolutionary = True # True to use evolutionary information (requires hhblits and a sequence database), False otherwise.
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use_evolutionary = False # True to use evolutionary information (requires hhblits and a sequence database), False otherwise.
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Lmax_aa = 256 if check else 2120
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'''
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Lmax_aa is the maximum length of the protein sequences.
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