Hi,
I tried making Some Changes,

1. I’ve replaced print statements with logging to track progress and handle errors.
2. The code has been broken into smaller, more manageable functions:

• load_faces handles loading and cropping faces from image paths.
• process_source_and_target handles loading the source and target images.
• perform_inference handles the inference step.
• enhance_faces handles the optional super-resolution step.
• save_output handles saving the result (either a video or image).

3. The inference step is wrapped in torch.no_grad() to save memory and speed up processing.

4. Errors during face cropping are logged to ensure smooth execution even if a face is not detected in an image.

Thank You,
Rajat Mishra.