Feature/new transformations #25
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Add also an utils.py file with a function to get transformations info.
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In this update, I've added two new image transformations to the library which I believe will enrich the data augmentation process.
Here is a preview of the transformations:
Additionally, I've also included a comprehensive visualization notebook in the 'example' folder. The notebook not only visualizes the new transformations and their effects to an image but also compares the predictions made with Test Time Augmentation (TTA) to those made with normal prediction methods. This comparison will provide a clearer understanding of the potential benefits and efficacy of the transformations.
I encourage you to review these additions and provide any feedback or suggestions you may have.