Deepfake

author: Zhuoran Yu

Description

Deepfake techniques, which present realistic AI-generated videos of people doing and saying fictional things, have the potential to have a significant impact on how people determine the legitimacy of information presented online.

This operator predicts the probability of a fake video for a given video.This is an adaptation from DeepfakeDetection.

Code Example

Load videos from path '/home/test_video' and use deepfake operator to predict the probabilities of fake videos.

import towhee
(
    towhee.glob['path']('/home/test_video')
          .deepfake['path', 'scores']()
          .select['path', 'scores']()
          .show()
)

[0.9893, 0.9097]

Interface

A deepfake operator takes videos' paths as input. It predicts the probabilities of fake videos.The higher the score, the higher the probability of it being a fake video.(It can be considered to be a fake video with score higher than 0.5)

Parameters:

filepath: str

Absolute address of the test videos.

Returns: list

The probabilities of videos being fake ones.