Show HN: Vidformer – Drop-In Acceleration for Cv2 Video Annotation Scripts

vidformer A research project providing infrastructure for video-native interfaces and accelerating computer vision visualization. Developed by the OSU Interactive Data Systems Lab. 🎯 Why vidformer Vidformer efficiently transforms videos, enabling faster annotation, editing, and processing of video data—without having to focus on performance. It uses a declarative specification format to represent transformations. This enables: Transparent Optimization: Vidformer optimizes the execution of declarative specifications just like a relational database optimizes relational queries. Lazy/Deferred Execution: Video results can be retrieved on-demand, allowing for practically instantaneous playback of video results. Vidformer builds on open technologies you may already use: OpenCV: A cv2 -compatible interface ensures both you (and LLMs) can use existing knowlege and code. A -compatible interface ensures both you (and LLMs) can use existing knowlege and code. Supervision: Supervision-com ... Read full article.