tf.keras.preprocessing.image.NumpyArrayIterator

Class NumpyArrayIterator

Inherits From: Iterator

Defined in tensorflow/python/keras/_impl/keras/preprocessing/image.py.

Iterator yielding data from a Numpy array.

Arguments:

• x: Numpy array of input data.
• y: Numpy array of targets data.
• image_data_generator: Instance of ImageDataGenerator to use for random transformations and normalization.
• batch_size: Integer, size of a batch.
• shuffle: Boolean, whether to shuffle the data between epochs.
• seed: Random seed for data shuffling.
• data_format: String, one of channels_first, channels_last.
• save_to_dir: Optional directory where to save the pictures being yielded, in a viewable format. This is useful for visualizing the random transformations being applied, for debugging purposes.
• save_prefix: String prefix to use for saving sample images (if save_to_dir is set).
• save_format: Format to use for saving sample images (if save_to_dir is set).

Methods

__init__

__init__(
    x,
    y,
    image_data_generator,
    batch_size=32,
    shuffle=False,
    seed=None,
    data_format=None,
    save_to_dir=None,
    save_prefix='',
    save_format='png'
)

__iter__

__iter__()

__next__

__next__(
    *args,
    **kwargs
)

next

next()

For python 2.x.

Returns:

The next batch.

reset

reset()