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ahaliassos avatar ahaliassos commented on August 23, 2024

In the CelebDFClips class' __getitem__ method, the sample is cast to torch.Tensor type (line 165 in data/dataset_clips.py) before the transform is applied, and torchvision.transforms.CenterCrop can handle torch.Tensor inputs. Perhaps, the torchvision library version that you have installed is older? You can install using the requirements.txt file to make sure.

Also, have you preprocessed the mouth crops according to the instructions? Do your mouth crops look similar to the examples in the examples directory?

from lipforensics.

zkxcongming avatar zkxcongming commented on August 23, 2024

In the CelebDFClips class' __getitem__ method, the sample is cast to torch.Tensor type (line 165 in data/dataset_clips.py) before the transform is applied, and torchvision.transforms.CenterCrop can handle torch.Tensor inputs. Perhaps, the torchvision library version that you have installed is older? You can install using the requirements.txt file to make sure.

Also, have you preprocessed the mouth crops according to the instructions? Do your mouth crops look similar to the examples in the examples directory?

I updated torchvision and everything works fine now, and got 80.8% on CelebDF test set. It was preprocessing problem. I got landmarks on the cropped faces so it looks different from your examples. Problem solved. Thank you!

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