Vidformer: Revolutionizing Video Processing for Computer Vision

Developed by the OSU Interactive Data Systems Lab, Vidformer provides infrastructure for video-native interfaces and accelerates computer vision visualization. It efficiently transforms videos, enabling faster annotation, editing, and processing without performance compromises. Leveraging a declarative specification format, Vidformer offers transparent optimization and lazy execution, providing near-instantaneous playback. Built on open technologies like OpenCV, Supervision, FFmpeg, Jupyter, and Apache OpenDAL, Vidformer offers a cv2 frontend for easy integration with existing Python workflows. While not a video editor or database, Vidformer complements computer vision libraries and AI models, making it ideal for various video-related tasks.