| import os |
|
|
| import requests |
| from torch.hub import download_url_to_file, get_dir |
|
|
| from urllib.parse import urlparse |
|
|
|
|
| def load_file_from_url(url, model_dir=None, progress=True, file_name=None): |
| """Load file form http url, will download models if necessary. |
| |
| Reference: https://github.com/1adrianb/face-alignment/blob/master/face_alignment/utils.py |
| |
| Args: |
| url (str): URL to be downloaded. |
| model_dir (str): The path to save the downloaded model. Should be a full path. If None, use pytorch hub_dir. |
| Default: None. |
| progress (bool): Whether to show the download progress. Default: True. |
| file_name (str): The downloaded file name. If None, use the file name in the url. Default: None. |
| |
| Returns: |
| str: The path to the downloaded file. |
| """ |
| if model_dir is None: |
| hub_dir = get_dir() |
| model_dir = os.path.join(hub_dir, 'checkpoints') |
|
|
| os.makedirs(model_dir, exist_ok=True) |
|
|
| parts = urlparse(url) |
| filename = os.path.basename(parts.path) |
| if file_name is not None: |
| filename = file_name |
| cached_file = os.path.abspath(os.path.join(model_dir, filename)) |
| if not os.path.exists(cached_file): |
| print(f'Downloading: "{url}" to {cached_file}\n') |
| download_url_to_file(url, cached_file, hash_prefix=None, progress=progress) |
| return cached_file |