tf.keras.utils.img_to_array
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.preprocessing.image.array_to_img(img_data) array = tf.keras.preprocessing.image.img_to_array(img)
Args | |
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img |
Input PIL Image instance. |
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" ). |
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 3D Numpy array. |
Raises | |
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ValueError |
if invalid img 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/img_to_array