Update detect.py

[glenn-jocher]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Refinement of detection code in YOLOv5 for better readability and maintenance.

📊 Key Changes

• Removed unused import: from numpy import random.
• Refactored the string formatting for the output to use f-strings for consistency.
• Removed an unnecessary blank line that does not affect functionality.

🎯 Purpose & Impact

• 🧹 Enhanced Code Clarity: Dropping unnecessary imports and unused code keeps the codebase cleaner and easier to understand.
• 🚀 Code Consistency: The use of f-strings throughout the codebase provides a consistent way to handle string formatting.
• 📉 Potential Maintenance Benefits: Smaller, more maintainable code may lead to fewer bugs and easier updates.

Non-expert users won't notice any explicit changes in functionality, but such code improvements contribute to a more robust and efficient application in the long run. 🛠️