tf.keras.preprocessing.image.Iterator
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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.
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
View source
next()
For python 2.x.
on_epoch_end
View source
on_epoch_end()
reset
View source
reset()
__getitem__
View source
__getitem__(
idx
)
__iter__
View source
__iter__()
__len__
View source
__len__()
Class Variables |
white_list_formats
|
|
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Last updated 2021-02-18 UTC.
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