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tf.keras.preprocessing.image.Iterator

Base class for image data iterators.

Inherits From: Sequence

Compat aliases for migration

See Migration guide for more details.

tf.keras.preprocessing.image.Iterator(
    n, batch_size, shuffle, seed
)

Every Iterator must implement the _get_batches_of_transformed_samples method.

Arguments
`n`	Integer, total number of samples in the dataset to loop over.
`batch_size`	Integer, size of a batch.
`shuffle`	Boolean, whether to shuffle the data between epochs.
`seed`	Random seeding for data shuffling.

next()

For python 2.x.

Returns
The next batch.

on_epoch_end()

reset()

__getitem__(
    idx
)

__iter__()

__len__()

Class Variables
white_list_formats

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/preprocessing/image/Iterator