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import urllib.request
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from pathlib import Path
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from threading import Thread
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from urllib.error import HTTPError
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from tqdm import tqdm
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default_models = {
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"wav2lip_gan": ("https://drive.google.com/u/0/uc?id=1V8hobVlZJdp8dzI8qWaAlbhCrXdBiUET&export=download&confirm=t", 435801865,'checkpoints'),
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"s3fd": ("https://drive.google.com/u/0/uc?id=1Y-mgxW8iq1pXUQicU_8ClNB85eQ1lk0o&export=download", 89843225,'face_detection/detection/sfd'),
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}
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class DownloadProgressBar(tqdm):
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def update_to(self, b=1, bsize=1, tsize=None):
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if tsize is not None:
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self.total = tsize
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self.update(b * bsize - self.n)
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def download(url: str, target: Path, bar_pos=0):
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target.parent.mkdir(exist_ok=True, parents=True)
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desc = f"Downloading {target.name}"
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with DownloadProgressBar(unit="B", unit_scale=True, miniters=1, desc=desc, position=bar_pos, leave=False) as t:
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try:
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urllib.request.urlretrieve(url, filename=target, reporthook=t.update_to)
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except HTTPError:
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return
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def ensure_default_models(models_dir: Path):
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jobs = []
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for model_name, (url, size,path_tobe) in default_models.items():
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target_path = models_dir / path_tobe / f"{model_name}.pth"
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print(target_path)
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if target_path.exists():
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if target_path.stat().st_size != size:
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print(f"File {target_path} is not of expected size, redownloading...")
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else:
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continue
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thread = Thread(target=download, args=(url, target_path, len(jobs)))
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thread.start()
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jobs.append((thread, target_path, size))
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for thread, target_path, size in jobs:
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thread.join()
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assert target_path.exists() and target_path.stat().st_size == size, \
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f"Download for {target_path.name} failed. You may download models manually instead.\n" \
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