![]() After detecting and extracting faces from each frame of both source and destination video, it then trains the algorithm to match similar facial expressions of source material with destination frames. ![]() It first disintegrates the video into individual frames and looks for faces in every frame using facial recognition. For instance, to create a deepfake video, you will need at least two sample videos one is the source video and the other one is destination video. However, first-time users might need some instructions to get started.
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