cv2.resize interpolation fix

[glenn-jocher]

Fix for #7901 causing incorrect results on resizing images upward.

🛠️ PR Summary

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🌟 Summary

Improvement in image resizing conditions for the YOLOv5 data loader.

📊 Key Changes

• Modified the condition to select the interpolation method during image resizing.

🎯 Purpose & Impact

• Ensures high-quality image resizing by choosing the appropriate interpolation method based on whether augmentation is applied or the resizing ratio is greater than 1.
• This can improve the model's performance by maintaining the quality of images during training, especially when images are being scaled up (enlarged). 📈
• Users may notice improved detection accuracy and better results from their trained models because the input data quality directly affects model performance. 🎯