liangchen527 / SLADD

Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)
Apache License 2.0
131 stars 16 forks source link

Question about the training set #3

Closed phinoo closed 2 years ago

phinoo commented 2 years ago

Hi, Thanks for your amazing work about deepfake detection .Now I'm using your framework to train our own model。 The first step is to reproduce the SOTA result of your paper, I get that "we extract 270 frames for training, and 100 each for evaluation and testing" from the readme file, is there more detail info about how I get the 270 frames from a video frames,as we know most of the videos have more than 270 frames. Thanks again for your great work。

phinoo commented 2 years ago

sorry ,I have got the anwser from the code!