Use tqdm.auto

[glenn-jocher]

Automatically select proper tqdm submodule if available. I saw torch.hub is using this so following suit.

🛠️ PR Summary

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🌟 Summary

Improved progress bar compatibility across different platforms.

📊 Key Changes

• Changed the import statement from from tqdm import tqdm to from tqdm.auto import tqdm in multiple YAML files and Python scripts.

🎯 Purpose & Impact

• Purpose: The update ensures that the progress bar (associated with the tqdm library) adapts to the environment where the code is executed, providing better support for Jupyter notebooks and various terminal interfaces.
• Impact: This change will enhance the user experience by displaying more robust and visually appropriate progress indicators across different platforms, without altering any core functionalities of the YOLOv5 model. Users developing in notebooks or using different terminals should notice a smoother interface when running processes that utilize progress bars. 🔄💻📈