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  1. To test this prototype system you should change the model paths as well as the database credentials :)
  2. Чтобы протестировать эту систему-прототип, вам следует изменить пути к модели, а также учетные данные базы данных :)
  3. dust_detection_project/
  4. |___rusal_env/ # Our virtuale envirement.
  5. |
  6. ├── mmyolo/ # Cloned mmYOLO repository.
  7. │ ├── scripts/ # Scripts for training, validation, testing.
  8. │ └── configs/ # Configuration files for models.
  9. ├── real_time_detection/ # Custom scripts for real-time detection.
  10. │ ├── stream_processor.py # Handles multiple RTSP streams using threading.
  11. │ |── database.py # Manages interactions with the PostgreSQL database.
  12. | |__ utils.py # all the functions that we will use in our stream_processor.py.
  13. ├── trained_models/ # Store trained YOLOv8 models here.
  14. └── best.pt # YOLOv8 trained model file
  15. ├── server/ # FastAPI server and web interface.
  16. │ ├── main.py # FastAPI server script for handling requests and alerts.
  17. │ └── static/ # Front-end files (HTML/CSS) for the web interface.
  18. ├── dataset/ # Dataset for model training and validation.
  19. │ ├── images/ # Images for training.
  20. │ └── annotations/ # Annotation files.
  21. |
  22. |__ test/ # folder for testing our model
  23. │ |__videos/ # all the videos used for testing
  24. |
  25. |__ database_setup/ # Contains scripts for setting up the database.
  26. ├── setup_database.py # Script to set up the database and tables
  27. │ └── db_config.json # Database connection configurations
  28. |
  29. └── requirements.txt # Python dependencies for the project.
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