Comments (7)
Re: negative instances, I suspect it works like this: If train.json contains ["123", "456"], this means the training set includes the original videos 123 and 456, and the manipulated videos 123_456 and 456_123. This is just a guess, though. It would be nice to see this spelled out explicitly.
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what about original videos? (for negative instances for deepfake detection) what is the split for that?
from faceforensics.
yes I thought of that. this means that it is also works the other way round, since there are 140 numbers in the test split so for each pair, the first number would be the source for the second and vice versa.
Indeed I found these correspond to videos in the data. For example the first pair of test.json is 953, 974. If you look under DeepFakes directory you will find two videos 953_974.mp4 and 974_953.mp4. The same goes for the other subsets.
from faceforensics.
same question
from faceforensics.
I found something. The pairs mean the source
and target
corresponding in the manipulated sequences.
For example, the pair with '210_219' folder means the background video is from 210 while the face is from 219.
from faceforensics.
@ondyari can u explain how to load these json and make them dataloaders?
from faceforensics.
@ondyari can u explain how to load these json and make them dataloaders?
I have the same question ,do you already know how to get it ?
from faceforensics.
Related Issues (20)
- Deepfakes: Faceswap trained models
- Video Sources
- DeepFakeDetection dataset training/testing video split problem HOT 6
- http://kaldir.vc.in.tum.de/FaceForensics/models/faceforensics++_models.zip not working
- Deepfake detection Xceptionnet result
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- Can't find file: train_add_train.txt
- TypeError: 'collections.OrderedDict' object is not callable HOT 1
- ConnectionResetError: [Errno 104] Connection reset by peer
- HTTPError HOT 2
- can't open file 'download-Faceforensics.py' HOT 3
- http://kaldir.vc.in.tum.de/faceforensics_download_v4.py
- The problem with xception-b5690688.pth model
- download script broken HOT 1
- qt connet issue while running detect_from_video.py HOT 1
- Image Level or Video Level?
- Download Question HOT 50
- ConnectionRefusedError: [Errno 111] Connection refused HOT 5
- ConnectionRefusedError-Solved HOT 3
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