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The resizing feature in ClipsAI dynamically adjusts a video to focus on the current speaker. It utilizes speaker diarization with Pyannote, scene change detection with PySceneDetect, and face detection with MTCNN and MediaPipe. Users can resize a video by importing the resize function, providing the video file path, Pyannote authentication token, and desired aspect ratio. Once the cropping segments are obtained, the resized video can be created using MediaEditor and the appropriate file type: VideoFile for video-only files or AudioVideoFile for those with both audio and video streams.
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Dynamic resizing
Speaker diarization with Pyannote
Scene change detection with PySceneDetect
Face detection with MTCNN and MediaPipe
Support for various aspect ratios
Video and audio stream handling
Integration with MediaEditor
Customizable cropping segments
Focus on current speaker
Python-based implementation
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