groundingLMM

★ 969

vs

mcp-raganything

★ 15

groundingLMM vs mcp-raganything

groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.; mcp-raganything: A multi-modal RAG service that exposes a REST API and MCP server for document indexing and knowledge-base querying. It uses RAGAnything/LightRAG for indexing and retrieval, MinIO for object storage, and PostgreSQL for the knowledge graph. Each project is isolated by its own working directory.