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🎉 Major Update: Transform legacy project into modern AI platform ## Frontend (Electron + React + TypeScript) - ✨ Created modern Electron desktop app with React 18 - 🎨 Implemented beautiful UI with Tailwind CSS + shadcn/ui - 📊 Built Dashboard, Training, Inference, Dataset, Settings pages - 🔄 Integrated React Query for server state management - 🐻 Added Zustand for client state - 🎭 Added smooth animations with Framer Motion - 📡 WebSocket integration for real-time updates ## Backend (Python + PyTorch + YOLOv11) - 🤖 Implemented YOLOv11 model wrapper with all variants (n/s/m/l/x) - 🏋️ Built complete training pipeline with checkpointing - 🎯 Created inference engine for video/image detection - 🚀 Developed FastAPI REST API with WebSocket support - 📦 Added PyTorch dataset loaders (YOLO + NPZ formats) - 🖼️ Implemented minimap preprocessing and extraction - 📸 Added screen capture utilities for real-time overlay - ⚡ Optimized with mixed precision, TensorRT export support ## Configuration & Infrastructure - ⚙️ Created comprehensive YAML configuration system - 📁 Organized modern project structure - 🔧 Setup Python environment with Poetry + requirements.txt - 📦 Configured Node.js with TypeScript, Vite, ESLint - 🎨 Added Tailwind CSS + PostCSS configuration - 🐙 Created .gitignore for Python, Node, datasets, models ## Documentation - 📚 Wrote comprehensive QUICKSTART.md - 📖 Created detailed TRAINING.md guide - 🌐 Documented REST API in API.md - 📝 Added IMPLEMENTATION_SUMMARY.md - ✅ Updated README with 2025 features ## Developer Experience - 🚀 Created automated setup.sh script - 🧪 Added TypeScript configs and type definitions - 🎯 Implemented IPC communication patterns - 📡 Setup WebSocket infrastructure - 🔌 Prepared plugin system architecture ## Features - Train YOLOv11 models with GUI or Python API - Real-time training monitoring with live metrics - Video/image inference with JSON export - Dataset management and import - GPU detection and monitoring - Screen capture for real-time overlay (ready) - Model export (ONNX, TensorRT, TorchScript) - Multi-GPU training support (infrastructure ready) ## Breaking Changes - Complete rewrite from Keras/TF to PyTorch - New directory structure - Modern UI replacing old CLI - REST API for all operations ## Migration Notes - Legacy NPZ dataset format still supported - Old models need retraining with YOLOv11 - See QUICKSTART.md for new setup process Fixes #N/A Closes #N/A
🔒 Legal Protection Updates ## Trademark & IP Protection - ✅ Added LEGAL.md with comprehensive trademark notices - ✅ Clarified that League of Legends® and Riot Games® are registered trademarks - ✅ Explicitly stated NO affiliation, endorsement, or official connection - ✅ Added "All Rights Reserved" notice for Riot Games, Inc. - ✅ Included fair use educational purpose statement ## Security Documentation - ✅ Added SECURITY.md with vulnerability reporting process - ✅ Documented known security considerations - ✅ Listed security best practices for users - ✅ Added dependency security checking instructions - ✅ Warned about experimental/untested status ## Enhanced Disclaimers - ✅ Updated DISCLAIMER.md with Riot Games trademark notices - ✅ Added requirement to comply with all Riot policies - ✅ Added intellectual property notice section - ✅ Clarified no claim to Riot Games IP - ✅ Emphasized educational/research use only ## Updated README - ✅ Added prominent legal warnings at top - ✅ Included Riot Games trademark notices - ✅ Added "NOT endorsed/affiliated" disclaimers - ✅ Linked to LEGAL.md and DISCLAIMER.md - ✅ Made educational use crystal clear ## License - ✅ Added MIT License (LICENSE file) - ✅ Clarified open-source nature - ✅ Standard warranty disclaimers ## Key Legal Points - For EDUCATIONAL and RESEARCH use only - NOT for real-time game automation or cheating - NOT tested or production-ready - Users must comply with Riot Games Terms of Service - No warranty, use at your own risk - Not affiliated with or endorsed by Riot Games - All Riot Games IP remains property of Riot Games, Inc. ## Files Added/Modified - LICENSE (MIT License) - LEGAL.md (Comprehensive legal notice) - SECURITY.md (Security policy) - DISCLAIMER.md (Enhanced disclaimers) - README.md (Updated with legal notices) This should provide reasonable legal protection while making it clear this is an educational open-source project with no commercial intent and no claim to Riot Games' intellectual property. IANAL - Users should still consult legal counsel for their specific use cases.
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