AIFotoOnlus/src

AIFotoONLUS (.NET) — scaffold

This workspace contains the initial scaffold for migrating the YOLO-based number recognition Python script to .NET 10.

Projects:

• AIFotoONLUS.Core — core inference library (OpenCvSharp)
• AIFotoONLUS.Console — console batch runner
• AIFotoONLUS.WPF — simple WPF demo frontend

Quick build & run (Windows):

1. Ensure .NET 10 SDK is installed.
2. From src run:
   • dotnet restore
   • dotnet build
3. Copy the models/ folder (contains detection/recognition .cfg and .weights) to the src output folder or run the apps from repository root so models/ is accessible.

Console example: dotnet run --project src\AIFotoONLUS.Console -- -d "..\images\onlus" -c result.csv

Notes:

• Core engine currently loads Darknet models and scaffolds the detection/recognition pipeline.
• Parsing of network outputs (YOLO postprocessing) and recognition logic will be implemented next.
• WPF app is a minimal demo (code-behind). We'll replace with MVVM as we iterate.