38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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"""SimCLR provides list files for semi-supervised benchmarks:
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https://github.com/google-research/simclr/tree/master/imagenet_subsets/
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This script converts the list files into the required format in MMSelfSup.
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"""
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import argparse
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parser = argparse.ArgumentParser(
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description='Convert ImageNet subset lists provided by SimCLR.')
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parser.add_argument('input', help='Input list file.')
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parser.add_argument('output', help='Output list file.')
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args = parser.parse_args()
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# create dict
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with open('data/imagenet/meta/train_labeled.txt', 'r') as f:
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lines = f.readlines()
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keys = [line.split('/')[0] for line in lines]
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labels = [line.strip().split()[1] for line in lines]
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mapping = {}
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for k, l in zip(keys, labels):
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if k not in mapping:
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mapping[k] = l
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else:
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assert mapping[k] == l
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# convert
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with open(args.input, 'r') as f:
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lines = f.readlines()
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fns = [line.strip() for line in lines]
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sample_keys = [line.split('_')[0] for line in lines]
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sample_labels = [mapping[k] for k in sample_keys]
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output_lines = [
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f'{k}/{fn} {l}\n' for k, fn, l in zip(sample_keys, fns, sample_labels)
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]
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with open(args.output, 'w') as f:
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f.writelines(output_lines)
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