TensorFlow 1 version
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    View source on GitHub
  
 | 
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__()
Class Variables | |
|---|---|
| white_list_formats | |
  TensorFlow 1 version
    View source on GitHub