tf.keras.preprocessing.image.array_to_img
Stay organized with collections
Save and categorize content based on your preferences.
Converts a 3D Numpy array to a PIL Image instance.
tf.keras.preprocessing.image.array_to_img(
x, data_format=None, scale=True, dtype=None
)
Arguments |
|---|
x
|
Input Numpy array.
|
data_format
|
Image data format.
either "channels_first" or "channels_last".
|
scale
|
Whether to rescale image values
to be within [0, 255].
|
dtype
|
Dtype to use.
|
Returns |
|---|
|
A PIL Image instance.
|
Raises |
|---|
ImportError
|
if PIL is not available.
|
ValueError
|
if invalid x or data_format is passed.
|
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.
Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.preprocessing.image.array_to_img\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/preprocessing/image/array_to_img) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/preprocessing/image.py#L47-L74) |\n\nConverts a 3D Numpy array to a PIL Image instance.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.preprocessing.image.array_to_img`](/api_docs/python/tf/keras/preprocessing/image/array_to_img), \\`tf.compat.v2.keras.preprocessing.image.array_to_img\\`\n\n\u003cbr /\u003e\n\n tf.keras.preprocessing.image.array_to_img(\n x, data_format=None, scale=True, dtype=None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------------|----------------------------------------------------------------|\n| `x` | Input Numpy array. |\n| `data_format` | Image data format. either \"channels_first\" or \"channels_last\". |\n| `scale` | Whether to rescale image values to be within `[0, 255]`. |\n| `dtype` | Dtype to use. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A PIL Image instance. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|---------------|--------------------------------------------|\n| `ImportError` | if PIL is not available. |\n| `ValueError` | if invalid `x` or `data_format` is passed. |\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub