tf.keras.preprocessing.image.img_to_array

TensorFlow 1 version 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)

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")

A 3D Numpy array.

ValueError if invalid img or data_format is passed.