Viper

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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.

Características Principales

• 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

Casos de Uso

• 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