This repository implements a comprehensive Traefik configuration management system, providing a unified UI and REST API to manage middlewares, routers, services, mTLS, security settings, and plugins. The backend is built in Go using the Gin framework with SQLite for persistence, and it supports both Pangolin and direct Traefik API as data sources. The frontend is a React/TypeScript SPA built with Vite, using Zustand for state management and Shadcn UI for components. Key architectural patterns include background watchers that sync Traefik state into the database, a config proxy that merges and serves dynamic Traefik configuration, and a plugin manager that edits static YAML files. The system acts as an HTTP provider for Traefik, generating dynamic configuration on the fly. It is not a data research project; it is a full-stack operational tool for managing Traefik reverse proxy configurations.
This repository is an educational tutorial implementation of a stereo visual SLAM (Simultaneous Localization and Mapping) system, based on the classic feature-point method (ORB/GFTT) with optical flow tracking, PnP pose estimation, and local bundle adjustment using g2o. It is structured as a modular C++ library (libmyslam.so) with components for frontend, backend, map management, camera model, dataset reading, and Pangolin-based 3D visualization. The primary entry point is a CLI application that processes KITTI stereo sequences to estimate camera trajectory and sparse 3D map points. While the code demonstrates solid software engineering practices such as threading, singletons, and factory methods, it is not production-ready: it lacks loop closure, map persistence, and comprehensive testing. The repository serves as a hands-on companion to the 'Visual SLAM: From Theory to Practice' textbook, with documentation and chapter-wise code examples. External dependencies include OpenCV, Eigen, Sophus, g2o, Pangolin, and Glog, with version-specific requirements that may cause compatibility issues on modern systems.