tf.keras.utils.img_to_array
Stay organized with collections
Save and categorize content based on your preferences.
Converts a PIL Image instance to a Numpy array.
tf.keras.utils.img_to_array(
img, data_format=None, dtype=None
)
Usage:
from PIL import Image
img_data = np.random.random(size=(100, 100, 3))
img = tf.keras.utils.array_to_img(img_data)
array = tf.keras.utils.image.img_to_array(img)
Args |
img
|
Input PIL Image instance.
|
data_format
|
Image data format, can be either "channels_first" or
"channels_last" . None means the global
setting tf.keras.backend.image_data_format() is used (unless you
changed it, it uses "channels_last" ). Defaults to None .
|
dtype
|
Dtype to use. None makes the global setting
tf.keras.backend.floatx() to be used (unless you changed it, it
uses "float32" ). Defaults to None .
|
Returns |
A 3D Numpy array.
|
Raises |
ValueError
|
if invalid img 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. Some content is licensed under the numpy license.
Last updated 2024-01-23 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]