Comments (2)
According to my observation, I don't see deepaugment support big dataset (which I cannot load all images and labels at a time and have to use data generator)? If I'm missing something, can you show how to use this repo with custom dataset which I have to use data generator?
Look at fit_with_generator() under childnn.py:
def fit_with_generator( self, datagen, X_val, y_val, train_data_size, epochs=None, csv_logger=None ):
record = self.model.fit_generator(
datagen,
validation_data=(X_val, y_val),
steps_per_epoch=train_data_size // self.config["child_batch_size"],
epochs=epochs,
shuffle=True,
verbose=2,
callbacks=[csv_logger],
)
return record.history
from deepaugment.
Can u provide some tutorial to use Deepaugment with large dataset. I am still stuck.
Thanks in advance
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Related Issues (20)
- skopt resources
- datasets for showcasing deepaugmenter
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