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utils: oso pio genika: logging (top priority)

common: augment, vizual, losses, metrics , optimizers, preprosessing

executor: train, inference, transfer-learning etc...

medzoo: all the models as it is now

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Datasets:

General pipeline as classes:

• base_dataset_preprosessor
• base_dataset_augment

collect arguments in a general config file

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Models:

1 config file per model

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TOP priorities:

1. logging
2. remove arguments --> config files
3. cli (command line interface) medzoo --train/inference --dataset --model --config(+datapaths)