tf.keras.utils.array_to_img
Converts a 3D Numpy array to a PIL Image instance.
tf.keras.utils.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)
Args | |
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x |
Input data, in any form that can be converted to a 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 the image such that minimum and maximum values are 0 and 255 respectively. 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 | |
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A PIL Image instance. |
Raises | |
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ImportError |
if PIL is not available. |
ValueError |
if invalid x or data_format is passed. |
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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/utils/array_to_img