🚀 OpenCV MCP Server
OpenCV MCP Server provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). Access powerful computer vision tools for tasks ranging from basic image manipulation to advanced object detection and tracking.
Overview
What is OpenCV MCP Server?
OpenCV MCP Server is a Python package that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP), enabling AI assistants to access powerful computer vision tools for various tasks.
How to use OpenCV MCP Server?
To use OpenCV MCP Server, install it via pip and integrate it into your AI assistant or application by configuring it to process images and videos using the provided tools.
Key features of OpenCV MCP Server?
- Basic image handling and manipulation (read, save, convert)
- Advanced image processing (resize, crop, filter application)
- Real-time object detection and tracking
- Video processing and analysis (frame extraction, motion detection)
- Face detection and recognition
Use cases of OpenCV MCP Server?
- Autonomous systems for vision-based navigation.
- Traffic analysis for vehicle counting and speed estimation.
- Security systems for motion detection and facial recognition.
- Augmented reality applications for feature tracking.
- Medical imaging for tissue segmentation.
FAQ from OpenCV MCP Server?
- Can OpenCV MCP Server handle real-time video processing?
Yes! It supports real-time video processing and object detection.
- Is OpenCV MCP Server free to use?
Yes! It is open-source and free to use under the MIT License.
- What programming language is OpenCV MCP Server written in?
It is written in Python.
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