dsh-visual-plugin

When working with multimodal interactions in DeepSeek Harness (DSH), processing long videos or batches of images often involves challenges like incompatible formats, loss of key context, and difficulty in tracking results. The dsh-visual-plugin is designed to solve these pain points by seamlessly integrating with DSH's native vision models. Without any cumbersome extra configuration, it empowers your current LLM with robust image and video comprehension capabilities.

The core highlight of this plugin lies in its "scene-aware" video analysis mechanism and an intuitive right-side panel UI. It not only strictly validates and normalizes various video formats but also leverages PySceneDetect to intelligently extract keyframes, transforming long videos into timestamped image sequences for the model to analyze. Meanwhile, the right panel keeps a comprehensive record of image thumbnails, video playback, and the model's final answers, featuring expandable history and one-click copy to significantly boost multimedia processing efficiency.

If you are a power user who heavily relies on DSH for multimodal research, video content breakdown, or visual data organization, this plugin offers a smooth, out-of-the-box experience. With flexible advanced settings and a convenient "Ask in chat" staging feature, you can easily fine-tune the granularity of video analysis, turning AI into your ultimate multimedia analysis assistant.