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1.2 KiB
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.
from towhee import ops
deepfake = ops.deepfake()
pred = deepfake('/home/test_video')
print(pred)
[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.
1.2 KiB
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.
from towhee import ops
deepfake = ops.deepfake()
pred = deepfake('/home/test_video')
print(pred)
[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.