Dear Authors,
Thank you for providing the source code but I am not able to find script to do required pre-processing on the datasets.
# paths
ann_train = pd.read_csv('./dataset/Fitzpatrick-17k/processed/rand_seed={}/split/train.csv'.format(args.rand_seed), index_col=0)
ann_valid = pd.read_csv('./dataset/Fitzpatrick-17k/processed/rand_seed={}/split/val.csv'.format(args.rand_seed), index_col=0)
ann_train.reset_index(inplace=True)
ann_valid.reset_index(inplace=True)
train_pkl = './dataset/Fitzpatrick-17k/processed/rand_seed={}/pkls/train_images.pkl'.format(args.rand_seed)
valid_pkl = './dataset/Fitzpatrick-17k/processed/rand_seed={}/pkls/val_images.pkl'.format(args.rand_seed)
In above code (inside main.py)..... how to obtain csv files since official dataset does not contain these splits.
If there is any missing file, please share.
Thank you
Dear Authors,
Thank you for providing the source code but I am not able to find script to do required pre-processing on the datasets.
In above code (inside main.py)..... how to obtain csv files since official dataset does not contain these splits.
If there is any missing file, please share.
Thank you