TensorFlow 1 version | 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 |