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Use weights_only for loading (#3427)

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Co-authored-by: Manuel Schmid <9307310+mashb1t@users.noreply.github.com>
This commit is contained in:
Sergii Dymchenko
2024-08-03 12:33:01 +02:00
committed by GitHub
co-authored by Manuel Schmid
parent 1a53e0676a
commit da3d4d006f
14 changed files with 21 additions and 21 deletions
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extras/facexlib/detection/__init__.py
+1 -1
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@@ -19,7 +19,7 @@ def init_detection_model(model_name, half=False, device='cuda', model_rootpath=N
url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
# TODO: clean pretrained model
load_net = torch.load(model_path, map_location=lambda storage, loc: storage)
load_net = torch.load(model_path, map_location=lambda storage, loc: storage, weights_only=True)
# remove unnecessary 'module.'
for k, v in deepcopy(load_net).items():
if k.startswith('module.'):