Ultralytics Code Refactor https://ultralytics.com/actions

[glenn-jocher]

This Ultralytics PR refactors code to improve performance and readability. 🔄

Key changes include:

• 🚀 Optimized various functions for faster execution.
• 🧩 Simplified complex logic for better understanding and maintenance.
• 🗑️ Removed redundant code to streamline operations.
• 📚 Improved code structure and organization.

These changes aim to enhance the overall quality and efficiency of the code. 🌟

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🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

This PR enhances code documentation across several Ultralytics YOLOv3 modules, including training, exporting, and utility functions.

📊 Key Changes

• Added and clarified docstrings for various functions and methods.
• Documented the linear learning rate scheduler functions in training scripts.
• Explained the process and purpose of functions in export scripts for formats like OpenVINO.
• Detailed utility functions for threading, anchor metrics, downloading files, and checking online status.
• Improved clarity on how input tensors are prepared and PyTorch dataloaders are generated.
• Enhanced Metric class and logging functionalities with better descriptions.

🎯 Purpose & Impact

• Improved Code Readability: These changes make the code easier to understand, which benefits both new and experienced developers working on the YOLOv3 repository.
• Enhanced Maintenance and Contribution: Clearer documentation helps maintainers and contributors to troubleshoot issues and extend functionalities more efficiently.
• Better User Experience: Non-developer users can now more easily grasp the model's operating principles and functionalities, aiding in better utilization and customization.