OmAgent
Multi modal intelligent agent framework to solve complex tasks
- Video2RAG: Transform long video understanding into multimodal RAG tasks, breaking through video length limitations.
- DnLoop: Adopting a divide and conquer algorithm paradigm, recursively refining complex problems into task trees.
- Rewinder Tool: A "progress bar" tool designed to solve the problem of video information loss, allowing agents to autonomously trace video details.
- Support custom configuration files and flexible setting of task processing parameters.
- Provide a quick start guide to simplify the task processing flow.
- Support video understanding tasks, enhance video feature retrieval through milvus vector database and optional facial recognition algorithm.
- Optional open vocabulary detection (OVD) service to enhance the recognition ability of different objects.
Product Details
OmAgent is a complex multimodal intelligent agent system dedicated to utilizing multimodal large-scale language models and other multimodal algorithms to accomplish fascinating tasks. This project includes a lightweight intelligent agent framework omagent_come, carefully designed to address multimodal challenges. OmAgent consists of three core components: Video2RAG, DnCLoop, and Rewinder Tool, which are responsible for long video understanding, complex problem decomposition, and information backtracking, respectively.
