Added support for H5 data, improved scripts and data handling #275
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We are still missing the h5 file constructor, the rest is in place. |
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main_pretrain.py
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| val_loader = None | ||
| else: | ||
| _, val_loader = prepare_data_classification( | ||
| args.dataset, | ||
| data_dir=args.data_dir, | ||
| train_dir=args.train_dir, | ||
| val_dir=args.val_dir, | ||
| train_h5_path=args.train_h5_path, |
DonkeyShot21
approved these changes
Jul 14, 2022
vturrisi
changed the title
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Hello @vturrisi and @DonkeyShot21, Could I ask what is benefit or difference between using data h5 and the traditional imagenet folder? |
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hey @trungpx, you can read about it here: https://www.h5py.org/ |
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