tf.keras.utils.array_to_img

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

View aliases

Main aliases

tf.keras.preprocessing.image.array_to_img

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

Used in the notebooks

Used in the tutorials
Image segmentation Semantic Segmentation with Model Garden Adversarial regularization for image classification

Example:

from PIL import Image
img = np.random.random(size=(100, 100, 3))
pil_img = 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". 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").
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 means the global setting keras.backend.floatx() is used (unless you changed it, it defaults to "float32"). Defaults to None.

Returns
A PIL Image instance.