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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) |