fenglf

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split training, validation and testing sets with 0.8, 0.1, 0.1 randomly. training and validation sets keep 120 classes folder, while testing sets with 1 folder including all testing image data.

it just comes from imagenet. replace "base_model_name(weights=pretrained_model_dir, include_top=False)" with "base_model_name(weights='imagenet', include_top=False)" should solve.