tf.keras.preprocessing.image.ImageDataGenerator

TensorFlow 1 version

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Base class for image data iterators.

Inherits From: Sequence

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.preprocessing.image.Iterator

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.

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()

`reset`

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reset()

`getitem`

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__getitem__(
    idx
)

`iter`

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__iter__()

`len`

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__len__()

Class Variables
white_list_formats

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.keras / preprocessing / preprocessing.image.ImageDataGenerator

View aliases

Arguments

Methods

next

on_epoch_end

reset

__getitem__

__iter__

__len__

Class Variables

`next`

`on_epoch_end`

`reset`

`getitem`

`iter`

`len`