tf.keras.preprocessing.image.Iterator

Base class for image data iterators.

Inherits From: Sequence

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

Deprecated: tf.keras.preprocessing.image.Iterator is not recommended for new code. Prefer loading images with tf.keras.utils.image_dataset_from_directory and transforming the output tf.data.Dataset with preprocessing layers. For more information, see the tutorials for loading images and augmenting images, as well as the preprocessing layer guide.

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

View source

next()

For python 2.x.

Returns
The next batch.

on_epoch_end

View source

on_epoch_end()

Method called at the end of every epoch.

reset

View source

reset()

__getitem__

View source

__getitem__(
    idx
)

Gets batch at position index.

Args
index	position of the batch in the Sequence.

Returns
A batch

__iter__

View source

__iter__()

Create a generator that iterate over the Sequence.

__len__

View source

__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')