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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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Resize videos to focus dynamically on the speaker, making the content more engaging.
Quickly adjust video aspect ratios and ensure the focus stays on the primary speaker.
Optimize video dimensions for different social media platforms, ensuring the main speaker is always in view.
Create visually appealing clips that highlight the speaker during podcasts.
Enhance educational videos by focusing on the instructor or speaker.
Generate promotional videos with the speaker in focus to effectively communicate the message.
Ensure interview videos maintain focus on the interviewee, providing a clear view.
Produce training videos that keep the viewer's attention on the trainer.
Capture and resize event videos to highlight keynote speakers.
Edit footage to dynamically keep the spotlight on main characters or narrators.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.