tf.keras.preprocessing.image.Iterator

Base class for image data iterators.

Inherits From: Sequence

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

Every Iterator must implement the _get_batches_of_transformed_samples method.

Args
`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.

Methods

next()

For python 2.x.

Returns
The next batch.

on_epoch_end()

Method called at the end of every epoch.

reset()

__getitem__(
    idx
)

Gets batch at position index.

Args
`index`	position of the batch in the Sequence.

Returns
A batch

__iter__()

Create a generator that iterate over the Sequence.

__len__()

Number of batch in the Sequence.

Returns
The number of batches in the Sequence.

Class Variables
white_list_formats	`('png', 'jpg', 'jpeg', 'bmp', 'ppm', 'tif', 'tiff')`

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Last updated 2023-10-06 UTC.