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.

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

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next()

For python 2.x.

Returns
The next batch.

on_epoch_end

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on_epoch_end()

Method called at the end of every epoch.

reset

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reset()

__getitem__

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__getitem__(
    idx
)

Gets batch at position index.

Args
index position of the batch in the Sequence.

Returns
A batch

__iter__

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__iter__()

Create a generator that iterate over the Sequence.

__len__

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__len__()

Number of batch in the Sequence.

Returns
The number of batches in the Sequence.

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