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your pretrained model work very badly in inference.py in any av. why ?
I init models as follows:
model = C3D_model.C3D(num_classes=101, pretrained=True)
# checkpoint = torch.load('./models/C3D_ucf101_epoch-39.pth', map_location=lambda storage, loc: storage)
# model.load_state_dict(checkpoint['state_dict'])
model.to(device)
model.eval()
The text was updated successfully, but these errors were encountered:
your pretrained model work very badly in inference.py in any av. why ?
I init models as follows:
model = C3D_model.C3D(num_classes=101, pretrained=True)
# checkpoint = torch.load('./models/C3D_ucf101_epoch-39.pth', map_location=lambda storage, loc: storage)
# model.load_state_dict(checkpoint['state_dict'])
model.to(device)
model.eval()
The text was updated successfully, but these errors were encountered: