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 adds detailed docstrings to various YOLOv5 functions, enhancing code readability and usability by providing clear descriptions of what each function does.

📊 Key Changes

• Added docstrings to functions in benchmarks.py, classify/predict.py, classify/val.py, detect.py, export.py, models/common.py, models/tf.py, segment/predict.py, segment/val.py, and various utility modules like augmentations.py and dataloaders.py.
• Each docstring gives a summary of the function's purpose and main actions.

🎯 Purpose & Impact

• Improves Code Readability: Helps developers understand the purpose and functionality of each function more easily. 📘
• Eases Maintenance: Makes the codebase easier to maintain and extend with clear, documented context. 🔧
• Facilitates Onboarding: New developers or contributors can get up to speed more quickly with comprehensive function descriptions. 🚀
• Enhances Usability: Users leveraging the code for their own models or applications can more readily understand how to utilize these functions. 👍

Overall, this PR significantly enhances the documentation quality of the YOLOv5 codebase, contributing to a more user-friendly and developer-friendly environment.