tf.keras.preprocessing.image.img_to_array
View source on GitHub |
Converts a PIL Image instance to a Numpy array.
tf.keras.preprocessing.image.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)
Arguments | |
---|---|
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 | |
---|---|
A 3D Numpy array. |
Raises | |
---|---|
ValueError |
if invalid img 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/r2.3/api_docs/python/tf/keras/preprocessing/image/img_to_array