tf.keras.preprocessing.image.Iterator
| 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 | |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/preprocessing/image/Iterator
