Viper
Provides a mixture-of-experts visual question-answering server, solving complex visual grounding and image question-answering tasks.
关于
Viper is a sophisticated mixture-of-experts (MoE) visual question-answering (VQA) server, designed to tackle challenging problems in visual grounding, compositional image question answering, and external knowledge-dependent image question answering. Built upon the FastMCP framework, it operates as a streamable-HTTP server, ensuring compatibility with all FastMCP client tooling for seamless integration and deployment. It leverages a diverse set of state-of-the-art models to deliver comprehensive visual intelligence and offers flexible installation options for both local development and containerized environments.
主要功能
- Addresses visual grounding, compositional, and external knowledge-dependent VQA tasks
- Integrates with OpenAI API for enhanced language understanding and interaction
- Compatible with FastMCP streamable-HTTP server for client tooling integration
- Implements a Mixture-of-Experts (MoE) architecture for VQA
- 1 GitHub stars
- Supports both Dockerized and pure Python server installations
使用案例
- Answering complex questions that require reasoning about multiple elements and relationships within an image
- Responding to image-related queries that necessitate external factual or contextual knowledge for accurate answers
- Performing visual grounding to identify specific objects or regions in images based on textual queries
