More routes/methods to implement pre-post processing

[falibabaei]

Hi, As you know, in most Deep Learning developments, preprocessing plays a crucial role in preparing the data for training. For example, in one of my developments where I want to add an API to an object detection model, image conversion in tfrecord is required. I would like to include this preprocessing step in my API. Users will have the option to perform this step themselves during model training. Those unfamiliar with this process can use this built-in preprocessing step to easily convert their data into tfrecord. I would like to see this method included in the API.

Another valuable feature would be an evaluation method. After users train a model on the new dataset, they may want to compare its performance to the older version of the model on a new test dataset using certain metrics they define. By integrating this method into the API, users can efficiently evaluate and compare the performance of the model on the test dataset.

Thank you for taking the time and effort to include these additions