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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