tf.keras.preprocessing.image.array_to_img
View source on GitHub |
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 )
Usage:
from PIL import Image img = np.random.random(size=(100, 100, 3)) pil_img = tf.keras.preprocessing.image.array_to_img(img)
Arguments | |
---|---|
x |
Input Numpy array. |
data_format |
Image data format, can be either "channels_first" or "channels_last". Defaults to None , in which case the global setting tf.keras.backend.image_data_format() is used (unless you changed it, it defaults to "channels_last"). |
scale |
Whether to rescale image values to be within [0, 255] . Defaults to True . |
dtype |
Dtype to use. Default to None , in which case the global setting tf.keras.backend.floatx() is used (unless you changed it, it defaults to "float32") |
Returns | |
---|---|
A PIL Image instance. |
Raises | |
---|---|
ImportError |
if PIL is not available. |
ValueError |
if invalid x or data_format is passed. |
© 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/array_to_img