tf.keras.preprocessing.image.DirectoryIterator

TensorFlow 1 version

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Converts a PIL Image instance to a Numpy array.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.preprocessing.image.img_to_array

tf.keras.preprocessing.image.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

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.

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tf.keras / preprocessing / preprocessing.image.DirectoryIterator

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Used in the notebooks

Usage:

Arguments

Returns

Raises