Practical workflows using Unity-MCP's 52 tools, 48 prompts, and 1 resource. All examples show what you can ask your AI client to do once Unity-MCP is connected. "Create a new scene called 'Level01', ...
Abstract: The visual sensing system is one of the most important parts of the welding robots to realize intelligent and autonomous welding. The active visual sensing methods have been widely adopted ...
In this tutorial, we build an end-to-end visual document retrieval pipeline using ColPali. We focus on making the setup robust by resolving common dependency conflicts and ensuring the environment ...
Abstract: Image captioning has been one of the greatest hustles for research problems in computer vision and natural language processing because of the accurate capturing and presentation of a visual ...
Give your AI assistant eyes into After Effects. This MCP server enables LLMs to visually understand and debug your compositions by rendering frames on-demand, analyzing animations frame-by-frame, and ...
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