Showing 4 open source projects for "video processing"

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  • 1
    video-use

    video-use

    Edit videos with Claude Code

    ...It supports a wide range of content types, including interviews, tutorials, montages, and talking-head videos. By combining structured text representations with on-demand visual previews, it minimizes processing overhead while maintaining high-quality results. Overall, Video Use reimagines video editing as an AI-driven, conversational workflow.
    Downloads: 23 This Week
    Last Update:
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  • 2
    Medeo Video Generator

    Medeo Video Generator

    AI-powered video generation skill for OpenClaw

    Medeo Video Generator is an AI-driven project designed to enable advanced video processing and generation capabilities within agent-based or automation systems. It provides a “skill” module that can be integrated into AI agents, allowing them to create, edit, and manipulate video content programmatically. The project focuses on bridging the gap between language-based AI systems and multimedia outputs by enabling models to produce structured video content as part of their workflows. ...
    Downloads: 6 This Week
    Last Update:
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  • 3
    Claude Code Video Vision

    Claude Code Video Vision

    Give Claude the ability to watch and understand videos

    Claude Video Vision is a plugin designed for Claude Code that enables large language models to process and understand video content by transforming it into multimodal inputs the model can reason over. Instead of attempting to directly interpret raw video streams, the system extracts key frames using tools like ffmpeg and processes audio through transcription engines, converting both visual and auditory signals into structured inputs for the model.
    Downloads: 3 This Week
    Last Update:
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  • 4
    NVIDIA AI Blueprint

    NVIDIA AI Blueprint

    Suite of reference architectures for building GPU-accelerated vision

    NVIDIA AI Blueprint is an AI blueprint for building GPU-accelerated video intelligence applications and vision agents. It combines accelerated vision microservices, vision language models, large language models, embeddings, and NVIDIA NIM microservices to process both stored and streaming video. The project is organized around real-time video intelligence, downstream analytics, and agentic offline processing.
    Downloads: 0 This Week
    Last Update:
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