tf.keras.utils.img_to_array

Converts a PIL Image instance to a NumPy array.

View aliases

Main aliases

tf.keras.preprocessing.image.img_to_array

tf.keras.utils.img_to_array(
    img, data_format=None, dtype=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Using the SavedModel format	DeepDream Image classification

Example:

from PIL import Image
img_data = np.random.random(size=(100, 100, 3))
img = keras.utils.array_to_img(img_data)
array = keras.utils.image.img_to_array(img)

Args
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 keras.backend.image_data_format() is used (unless you changed it, it defaults to "channels_last").
dtype	Dtype to use. None means the global setting keras.backend.floatx() is used (unless you changed it, it defaults to "float32").

Returns
A 3D NumPy array.