| import os | |
| import numpy as np | |
| import math | |
| import glob | |
| import fire | |
| import shutil | |
| def main(scale_folder_name): | |
| all_scale_dir = glob.glob(f'{scale_folder_name}/*') | |
| for scale in all_scale_dir: | |
| scale_percent = scale.split('/')[-1].split('_')[-1] | |
| scale_percent = float(scale_percent)/100 | |
| print(scale_percent) | |
| split_dir = glob.glob(scale + '/*') | |
| for split in split_dir: | |
| # modify file auto_lang_ | |
| auto_lang_ann_path = os.path.join(split, "lang_annotations/auto_lang_ann.npy") | |
| auto_lang_ann = np.load(auto_lang_ann_path, allow_pickle=True).item() | |
| lang_ann = auto_lang_ann['language']['ann'] | |
| lang_task = auto_lang_ann['language']['ann'] | |
| trajectories = auto_lang_ann['info']['indx'] | |
| length = len(lang_ann) | |
| assert len(lang_ann) == len(lang_task) == len(trajectories) == length | |
| auto_lang_ann['language']['ann'] = lang_ann[:math.ceil(length*scale_percent)] | |
| auto_lang_ann['language']['task'] = lang_task[:math.ceil(length*scale_percent)] | |
| auto_lang_ann['info']['indx'] = trajectories[:math.ceil(length*scale_percent)] | |
| np.save(auto_lang_ann_path, auto_lang_ann) | |
| # dummy .npz file to bypass lookup_naming_pattern | |
| shutil.copy( | |
| src= "calvin_debug_dataset/training/episode_0358484.npz", | |
| dst= os.path.join(split) | |
| ) | |
| if __name__ == '__main__': | |
| fire.Fire(main) |