Download EgoHOS/raw/script/preprocess_script/cleanup_lama_fname.py from ParityLab/Hand-Datasets-Raw: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ParityLab/Hand-Datasets-Raw/resolve/main/EgoHOS/raw/script/preprocess_script/cleanup_lama_fname.py
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hf download hf://datasets/ParityLab/Hand-Datasets-Raw/EgoHOS/raw/script/preprocess_script/cleanup_lama_fname.py
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curl -L -o cleanup_lama_fname.py https://huggingface.co/datasets/ParityLab/Hand-Datasets-Raw/resolve/main/EgoHOS/raw/script/preprocess_script/cleanup_lama_fname.py
816 Bytes
| import os | |
| import glob | |
| import pdb | |
| from tqdm import tqdm | |
| import argparse | |
| parser = argparse.ArgumentParser(description="resize image using bicubic upsampling") | |
| parser.add_argument("--img_dir", default='/mnt/session_space/home/lingzzha/EgoHOS/data/train/lama_512_pad', type=str) | |
| args = parser.parse_args() | |
| for file in tqdm(glob.glob(args.img_dir + '/*')): | |
| ext = file.split('.')[-1] | |
| val_list = (file.split('/')[-1].split('.')[0] + '.' + file.split('/')[-1].split('.')[1]).split('_') | |
| # pdb.set_trace() | |
| if 'mask.png' in val_list: | |
| fname = val_list[0] | |
| for i in range(1,len(val_list)-1): | |
| fname = fname + '_' + val_list[i] | |
| dst_file = os.path.join(args.img_dir, fname + '.' + ext) | |
| os.rename(file, dst_file) | |
| # pdb.set_trace() | |