[Sweep Rules] Refactor large function in data_augmentation.py

[sweep-ai[bot]]

PR Feedback (click)

• [ ] 👍 Sweep Did Well
• [ ] 👎 Sweep Needs Improvement

  I created this PR to address this rule:

  "Refactor large functions to be more modular."

  Description

  This PR refactors the augment_image function in the data_augmentation.py file to improve its readability and maintainability. The function has been broken down into smaller, more focused functions to adhere to the Single Responsibility Principle.

Summary of Changes

• Extracted the code block from lines 55 to 85 in the augment_image function into a new function called process_image.
• Moved the process_image function to a new file called image_processing.py.
• Updated the imports in the data_augmentation.py file to import the process_image function from the image_processing.py file.
• Updated the augment_image function to call the process_image function with the required arguments.
• Updated the class docstring for DataAugmentation to reflect the changes made to the augment_image function.

Please review and merge this PR to improve the maintainability of the codebase.

[sweep-ai[bot]]

Rollback Files For Sweep

• [ ] Rollback changes to data_augmentation.py
• [ ] Rollback changes to data_augmentation.py
• [ ] Rollback changes to image_processing.py
• [ ] Rollback changes to image_processing.py
• [ ] Rollback changes to data_augmentation.py
• [ ] Rollback changes to data_augmentation.py