TensorFlow 1 version
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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
next()
For python 2.x.
Returns
The next batch.
on_epoch_end
on_epoch_end()
reset
reset()
__getitem__
__getitem__(
idx
)
__iter__
__iter__()
__len__
__len__()