Download EgoHOS/raw/script/preprocess_script/convert_label.py from ParityLab/Hand-Datasets-Raw: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/datasets/ParityLab/Hand-Datasets-Raw/resolve/main/EgoHOS/raw/script/preprocess_script/convert_label.py
- Command line
-
hf download hf://datasets/ParityLab/Hand-Datasets-Raw/EgoHOS/raw/script/preprocess_script/convert_label.py
-
curl -L -o convert_label.py https://huggingface.co/datasets/ParityLab/Hand-Datasets-Raw/resolve/main/EgoHOS/raw/script/preprocess_script/convert_label.py
2.93 kB
| """ | |
| This script converts label into different version, depending | |
| on the task (allhands, twohands, handobj1, etc.) | |
| """ | |
| from PIL import Image | |
| import numpy as np | |
| import glob | |
| import pdb | |
| import os | |
| from skimage.io import imsave | |
| from tqdm import tqdm | |
| def cvt_lbl(src_lbl_dir, dst_lbl_dir, mode): | |
| if os.path.exists(dst_lbl_dir): | |
| os.system('rm -rf ' + dst_lbl_dir) | |
| os.makedirs(dst_lbl_dir, exist_ok = True) | |
| for file in tqdm(glob.glob(src_lbl_dir + '/*.png')): | |
| fname = os.path.basename(file) | |
| lbl = np.array(Image.open(file)) | |
| if mode == 'allhands': | |
| lbl_out = np.zeros((lbl.shape)) | |
| lbl_out[lbl == 1] = 1 | |
| lbl_out[lbl == 2] = 1 | |
| elif mode == 'twohands': | |
| lbl_out = lbl.copy() | |
| lbl_out[lbl_out > 2] = 0 | |
| elif mode == 'handobj1': | |
| lbl_out = lbl.copy() | |
| lbl_out[lbl_out > 5] = 0 | |
| elif mode == 'obj1': | |
| lbl_out = lbl.copy() | |
| lbl_out[lbl_out > 5] = 0 | |
| lbl_out[lbl_out == 1] = 0 | |
| lbl_out[lbl_out == 2] = 0 | |
| lbl_out[lbl_out == 3] = 1 | |
| lbl_out[lbl_out == 4] = 2 | |
| lbl_out[lbl_out == 5] = 3 | |
| elif mode == 'obj2': | |
| lbl_out = lbl.copy() | |
| lbl_out[lbl_out == 1] = 0 | |
| lbl_out[lbl_out == 2] = 0 | |
| lbl_out[lbl_out == 3] = 1 | |
| lbl_out[lbl_out == 4] = 2 | |
| lbl_out[lbl_out == 5] = 3 | |
| lbl_out[lbl_out == 6] = 4 | |
| lbl_out[lbl_out == 7] = 5 | |
| lbl_out[lbl_out == 8] = 6 | |
| elif mode == 'foreground': | |
| lbl_out = lbl.copy() | |
| lbl_out[lbl_out > 0] = 1 | |
| # print(np.unique(lbl_out)) | |
| # pdb.set_trace() | |
| # lbl_out[lbl_out == 3] = 1 | |
| # lbl_out[lbl_out == 4] = 2 | |
| imsave(os.path.join(dst_lbl_dir, fname), lbl_out) | |
| if __name__ == '__main__': | |
| # lbl_type_list = ['train', 'val', 'test_indomain', 'test_outdomain'] | |
| lbl_type_list = ['train'] | |
| for lbl_type in lbl_type_list: | |
| lbl_dir = '../data/'+lbl_type+'/label_ccda' | |
| lbl_twohands_dir = '../data/'+lbl_type+'/label_twohands_ccda' | |
| cvt_lbl(lbl_dir, lbl_twohands_dir, 'twohands') | |
| lbl_handobj1_dir = '../data/'+lbl_type+'/label_handobj1_ccda' | |
| cvt_lbl(lbl_dir, lbl_handobj1_dir, 'handobj1') | |
| lbl_handobj1_dir = '../data/'+lbl_type+'/label_obj1_ccda' | |
| cvt_lbl(lbl_dir, lbl_handobj1_dir, 'obj1') | |
| lbl_handobj1_dir = '../data/'+lbl_type+'/label_obj2_ccda' | |
| cvt_lbl(lbl_dir, lbl_handobj1_dir, 'obj2') | |
| lbl_allhands_dir = '../data/'+lbl_type+'/label_allhands_ccda' | |
| cvt_lbl(lbl_dir, lbl_allhands_dir, 'allhands') | |
| # lbl_handobj1_dir = '../data/'+lbl_type+'/label_foreground' | |
| # cvt_lbl(lbl_dir, lbl_handobj1_dir, 'foreground') | |