Comments (9)
I have the same problem, have you resolved it?
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
我有同样的问题,你解决了吗?
Sorry, I still couldn't solve the problem and I'm constantly looking for a way to fix it. Did you use only the training set of the DFDC dataset? How to skip the validation set of the DFDC dataset to run successfully train.py?
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
You can first separate a part of the dfdc training set for verification and testing.
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
You can first separate a part of the dfdc training set for verification and testing.
Ok, thanks, I'll give it a try, and can you give me your contact information?
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
[email protected] This is my email, you can contact me through this.
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
Hi, did you solved?
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
Hi, did you solved?
I'm glad you answered my confusion, but I also couldn't download DFDC's validation and test sets during this time
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
Unfortunately, it seems that the authors of DFDC are not making the dataset available from their website, we can't do anything but wait for them...
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
Unfortunately, it seems that the authors of DFDC are not making the dataset available from their website, we can't do anything but wait for them...
Ok, I got it, thank you very much
from combining-efficientnet-and-vision-transformers-for-video-deepfake-detection.
Related Issues (20)
- Patch size HOT 2
- Environment setting for MacM1 HOT 1
- Test set labels HOT 2
- Multiprocesssing Error HOT 2
- In DFDC data set, there will be moving face images in some videos. How do you deal with it?
- In DFDC data set, there will be moving face images in some videos. How do you deal with it? HOT 1
- Grouping of faces corresponding to same person for inference HOT 5
- Details on training and testing HOT 6
- DFDC Pre-processing timeline HOT 1
- no faces detected when run the detect_faces.py HOT 2
- Combining EfficientNet and Vision Transformers HOT 1
- About datapropress HOT 5
- About Cuda HOT 1
- test AUC HOT 3
- AttributeError: 'EfficientNet' object has no attribute 'delete_blocks' HOT 1
- Inquiry Regarding Dataset Architecture and Organization HOT 4
- Error Encountered in Pretrained Model Evaluation
- Custom test set
- test the model in ff++
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