tf.keras.utils.array_to_img

Converts a 3D Numpy array to a PIL Image instance.

Main aliases

tf.keras.preprocessing.image.array_to_img

tf.keras.utils.array_to_img(
    x, data_format=None, scale=True, dtype=None
)

from PIL import Image
img = np.random.random(size=(100, 100, 3))
pil_img = tf.keras.utils.array_to_img(img)

Args
`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"`. None means the global setting `tf.keras.backend.image_data_format()` is used (unless you changed it, it uses `"channels_last"`). Defaults to `None`.
`scale`	Whether to rescale the image such that minimum and maximum values are 0 and 255 respectively. Defaults to `True`.
`dtype`	Dtype to use. None makes the global setting `tf.keras.backend.floatx()` to be used (unless you changed it, it uses `"float32"`). Defaults to `None`.

Returns
A PIL Image instance.

Raises
`ImportError`	if PIL is not available.
`ValueError`	if invalid `x` or `data_format` is passed.

Args