AutoShape explicit arguments fix

[glenn-jocher]

May resolve #9442

Signed-off-by: Glenn Jocher glenn.jocher@ultralytics.com

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Refinement of inference code path and logging in YOLOv5.

📊 Key Changes

• Simplified argument passing by specifying augment keyword explicitly during model inference.
• Ensured shape is always a tuple to prevent potential type-related errors.
• Switched from using the built-in print function to a LOGGER.info for more consistent and configurable logging across the module.

🎯 Purpose & Impact

• Cleaner Code: Specifying augment explicitly as a keyword argument adds clarity to the function call which can reduce future bugs and make the code easier to understand.
• Type Safety: Converting the shape to a tuple enforces consistency in datatype, which enhances code stability.
• Improved Logging: Adopting LOGGER.info over print paves the way for more advanced logging features such as logging levels, timestamps, and log file management, resulting in better debugging and monitoring experiences for users.