Example for setting up a data pipeline and training a neural net for classification

Utilizes structure from PyTorch tutorial here: https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html

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resize.py

Processes a folder of raw images (usually of relatively high resolution) organized in subfolders by class and resizes them and randomly assigns images to the train, validation or test sets

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cow_ID_v1.py

Loads the training and validation data sets. Loads a pre-trained PyTorch model and trains it to perform image classification on the training data set. Model saved for re-use.

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