contrib.keras.preprocessing.image.NumpyArrayIterator
tf.contrib.keras.preprocessing.image.NumpyArrayIterator
class tf.contrib.keras.preprocessing.image.NumpyArrayIterator
Defined in tensorflow/contrib/keras/python/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='jpeg' )
__iter__
__iter__()
__next__
__next__( *args, **kwargs )
next
next()
For python 2.x.
Returns:
The next batch.
reset
reset()
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/keras/preprocessing/image/NumpyArrayIterator