Open angelabr opened 1 year ago
Hello @angelabr , Which protocol of the pretrained model do you need? Which pretrained model do you need, FE and CF or the whole LDCNet?
Thank you for your prompt reply. If possible, I would need the [O,C,I]->M protocol and the whole LDCNet.
Due to the limitation on the size of the uploaded file, I have placed it on google drive. https://drive.google.com/drive/folders/1aQ2J1hGgJg5tsIKV26xWiIDExcyPzkq-?usp=share_link (valid until Feb 28, 2023) I hope it will be helpful to you.
Thank you very much. One last thing, is it necessary to perform some preprocessing on the images? I'm testing on a subset of Celeb a Spoof cropped with MTCNN and it seems to predict "1" all the time.
We use the MTCNN to preprocess the dataset, which should not pose a problem. I think there are two potential issues:
Thank you very much. One last thing, is it necessary to perform some preprocessing on the images? I'm testing on a subset of Celeb a Spoof cropped with MTCNN and it seems to predict "1" all the time.
Thank you very much. One last thing, is it necessary to perform some preprocessing on the images? I'm testing on a subset of Celeb a Spoof cropped with MTCNN and it seems to predict "1" all the time.
First take dataset -> take frames/images -> detect face -> crop face -> make .npy for each cropped face (be careful to BGRtoRGB and while converting normilize each image npy value / 255 (0~1) and save) -> all saved npy files are lists so save all npy files into one .npy file (list) -> THEN just use as it is
Hi,
I see the pretrained model you provide is for visualization, could you provide the weights of your LDCNet model?
Thank you