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You need to change the method preprocessing in utils/data_utils.py.
What I did was store my custom dataset in a TFRecord format. Look into how to store and read TFRecords in Tensorflow (it's simple after you understand it).
After that, map the preprocessing method in your dataset (make the same pipeline as the method in this repository), then the rest of the code is basically the same.
i am wondering what changes are needed to train the model on a custom dataset.
thank you
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