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| import os | |
| import os.path as osp | |
| import pickle | |
| import subprocess | |
| from typing import Any | |
| import h5py | |
| import numpy as np | |
| import torch | |
| num_channels, num_frames, height, width = None, None, None, None | |
| def create_dir(dir_name: str): | |
| """Create a directory if it does not exist yet.""" | |
| if not osp.exists(dir_name): | |
| os.makedirs(dir_name) | |
| def move_files(source_path: str, destpath: str): | |
| """Move files from `source_path` to `dest_path`.""" | |
| subprocess.call(["mv", source_path, destpath]) | |
| def load_pickle(pickle_path: str) -> Any: | |
| """Load a pickle file.""" | |
| with open(pickle_path, "rb") as f: | |
| data = pickle.load(f) | |
| return data | |
| def load_hdf5(hdf5_path: str) -> Any: | |
| with h5py.File(hdf5_path, "r") as h5file: | |
| data = {key: np.array(value) for key, value in h5file.items()} | |
| return data | |
| def save_hdf5(data: Any, hdf5_path: str): | |
| with h5py.File(hdf5_path, "w") as h5file: | |
| for key, value in data.items(): | |
| h5file.create_dataset(key, data=value) | |
| def save_pickle(data: Any, pickle_path: str): | |
| """Save data in a pickle file.""" | |
| with open(pickle_path, "wb") as f: | |
| pickle.dump(data, f, protocol=4) | |
| def load_txt(txt_path: str): | |
| """Load a txt file.""" | |
| with open(txt_path, "r") as f: | |
| data = f.read() | |
| return data | |
| def save_txt(data: str, txt_path: str): | |
| """Save data in a txt file.""" | |
| with open(txt_path, "w") as f: | |
| f.write(data) | |
| def load_pth(pth_path: str) -> Any: | |
| """Load a pth (PyTorch) file.""" | |
| data = torch.load(pth_path) | |
| return data | |
| def save_pth(data: Any, pth_path: str): | |
| """Save data in a pth (PyTorch) file.""" | |
| torch.save(data, pth_path) | |