ramzihaj/detects-Tunisian-license-plate-numbers

This project performs real-time detection and recognition of Tunisian license plate numbers using YOLOv8 for object detection and EasyOCR for text recognition. The backend is built with FastAPI, and the frontend is developed with Angular to display the results, statistics, and alerts. # PlateDetector This project was generated with Angular CLI version 17.3.11. ## Development server Run `ng serve` for a dev server. Navigate to `localhost`. The application will automatically reload if you change any of the source files. ## Code scaffolding Run `ng generate component component-name` to generate a new component. You can also use `ng generate directive|pipe|service|class|guard|interface|enum|module`. ## Build Run `ng build` to build the project. The build artifacts will be stored in the `dist/` directory. ## Running unit tests Run `ng test` to execute the unit tests via Karma. ## Running end-to-end tests Run `ng e2e` to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities. ## Further help To get more help on the Angular CLI use `ng help` or go check out the Angular CLI Overview and Command Reference page.