Ultralytics MCP Server

@echo off echo 🚀 RCT Detector Platform - Complete Setup echo ===================================== echo. REM Check if Docker is installed docker --version >nul 2>&1 if errorlevel 1 ( echo ❌ Docker is not installed. Please install Docker Desktop first. echo Download from: https://www.docker.com/products/docker-desktop pause exit /b 1 ) REM Check if Docker Compose is available docker-compose --version >nul 2>&1 if errorlevel 1 ( echo ❌ Docker Compose is not available. Please install Docker Desktop with Compose. pause exit /b 1 ) echo ✅ Docker is available echo. REM Check for NVIDIA GPU support (optional) nvidia-smi >nul 2>&1 if errorlevel 1 ( echo ⚠️ NVIDIA drivers not detected. Running in CPU mode. ) else ( echo ✅ NVIDIA drivers detected ) echo. echo 🏗️ Building and starting containers... echo. REM Stop any existing containers echo 🛑 Stopping existing containers... docker-compose down REM Build and start containers echo 🔨 Building containers (this may take several minutes)... docker-compose build --no-cache echo 🚀 Starting containers... docker-compose up -d REM Wait for containers to be ready echo. echo ⏳ Waiting for services to start... timeout /t 15 /nobreak >nul REM Check container status echo. echo 📋 Container Status: docker-compose ps echo. echo ⏳ Checking service availability... timeout /t 5 /nobreak >nul echo. echo 🎉 Setup Complete! echo ================== echo. echo 📱 Available Services: echo 🌐 Streamlit Web Interface: http://localhost:8501 echo 📊 TensorBoard: http://localhost:6006 echo 🔌 MCP Server: http://localhost:8092 echo 📓 Jupyter (optional): http://localhost:8888 echo. echo 🔧 Management Commands: echo 📊 View logs: docker-compose logs -f ultralytics-container echo 🔄 Restart: docker-compose restart echo 🛑 Stop: docker-compose down echo 💾 Monitor: docker exec ultralytics-container /usr/local/bin/monitor.sh echo. echo 📚 Features Available: echo ✅ 10GB ZIP dataset upload limit echo ✅ Intelligent dataset structure detection echo ✅ Background processing for large files echo ✅ Real-time GPU monitoring echo ✅ Custom model training echo ✅ MCP integration for N8N automation echo. echo 🚀 Ready to use! Navigate to http://localhost:8501 to get started. echo. pause