tf.keras.preprocessing.image.NumpyArrayIterator
Stay organized with collections
Save and categorize content based on your preferences.
Iterator yielding data from a Numpy array.
Inherits From: Iterator
, PyDataset
tf.keras.preprocessing.image.NumpyArrayIterator(
x,
y,
image_data_generator,
batch_size=32,
shuffle=False,
sample_weight=None,
seed=None,
data_format=None,
save_to_dir=None,
save_prefix='',
save_format='png',
subset=None,
ignore_class_split=False,
dtype=None
)
DEPRECATED.
Attributes |
max_queue_size
|
|
num_batches
|
Number of batches in the PyDataset.
|
use_multiprocessing
|
|
workers
|
|
Methods
on_epoch_end
View source
on_epoch_end()
Method called at the end of every epoch.
reset
View source
reset()
__getitem__
View source
__getitem__(
idx
)
Gets batch at position index
.
Args |
index
|
position of the batch in the PyDataset.
|
__iter__
View source
__iter__()
__len__
View source
__len__()
Class Variables |
white_list_formats
|
('png', 'jpg', 'jpeg', 'bmp', 'ppm', 'tif', 'tiff')
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-06-07 UTC.
[null,null,["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.preprocessing.image.NumpyArrayIterator\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/legacy/preprocessing/image.py#L515-L679) |\n\nIterator yielding data from a Numpy array.\n\nInherits From: [`Iterator`](../../../../tf/keras/preprocessing/image/Iterator), [`PyDataset`](../../../../tf/keras/utils/PyDataset) \n\n tf.keras.preprocessing.image.NumpyArrayIterator(\n x,\n y,\n image_data_generator,\n batch_size=32,\n shuffle=False,\n sample_weight=None,\n seed=None,\n data_format=None,\n save_to_dir=None,\n save_prefix='',\n save_format='png',\n subset=None,\n ignore_class_split=False,\n dtype=None\n )\n\nDEPRECATED.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|-----------------------|-------------------------------------|\n| `max_queue_size` | \u003cbr /\u003e \u003cbr /\u003e |\n| `num_batches` | Number of batches in the PyDataset. |\n| `use_multiprocessing` | \u003cbr /\u003e \u003cbr /\u003e |\n| `workers` | \u003cbr /\u003e \u003cbr /\u003e |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `on_epoch_end`\n\n[View source](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/legacy/preprocessing/image.py#L73-L74) \n\n on_epoch_end()\n\nMethod called at the end of every epoch.\n\n### `reset`\n\n[View source](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/legacy/preprocessing/image.py#L76-L77) \n\n reset()\n\n### `__getitem__`\n\n[View source](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/legacy/preprocessing/image.py#L53-L68) \n\n __getitem__(\n idx\n )\n\nGets batch at position `index`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|---------|-----------------------------------------|\n| `index` | position of the batch in the PyDataset. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| A batch ||\n\n\u003cbr /\u003e\n\n### `__iter__`\n\n[View source](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/legacy/preprocessing/image.py#L102-L105) \n\n __iter__()\n\n### `__len__`\n\n[View source](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/legacy/preprocessing/image.py#L70-L71) \n\n __len__()\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Class Variables --------------- ||\n|--------------------|-------------------------------------------------------|\n| white_list_formats | `('png', 'jpg', 'jpeg', 'bmp', 'ppm', 'tif', 'tiff')` |\n\n\u003cbr /\u003e"]]