Comments (2)
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?
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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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Related Issues (13)
- When will you upload the train.py ??
- Loss Function of this model HOT 2
- How to train the model?
- How to use the Retinaface to generate the landmarks file... HOT 7
- Can this code run under python3.6? HOT 5
- Can you provide your train.py file?
- Cannot reproduce AUC on FF++ test split. HOT 3
- Models for Generalisation to unseen manipulations
- Can you provide your train.py file?
- How does the output logits value judge whether it is real or fake? HOT 2
- How does the output logits value judge whether it is real or fake?
- logits value is always above 0.95. HOT 2
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