Comprehensive XML documentation added to all public types, methods, and properties in AIFotoONLUS.Core. Project updated to generate and pack XML docs for NuGet consumers. README rewritten for clarity. Improves developer experience with rich IntelliSense and API docs.
Added NLog-based logging and diagnostics to Console and WPF apps, with programmatic configuration and support for debugger output. Refactored apps to use dependency injection and Microsoft.Extensions.Hosting. Improved output layer extraction and fallback logic in detection/recognition, including objectness-class probability multiplication. Added crop saving for diagnostics. Introduced new CLI options for diagnostics. MainViewModel and MainWindow now use DI and log errors. NumberRecognitionEngine supports logging, crop saving, and robust fallback. Added Python diagnostic script. Improved error handling and argument parsing.
Introduced solution structure for AIFotoONLUS migration to .NET. Added Core library with YOLO-based detection/recognition engine using OpenCvSharp, Console batch runner, and WPF demo frontend with MVVM. Implemented model loading, directory processing, progress reporting, and preferences. Added README with build/run instructions.
