tf.keras.preprocessing.image.random_shift

Performs a random spatial shift of a Numpy image tensor.

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Compat aliases for migration

See Migration guide for more details.

`tf.compat.v1.keras.preprocessing.image.random_shift`

tf.keras.preprocessing.image.random_shift(
    x,
    wrg,
    hrg,
    row_axis=1,
    col_axis=2,
    channel_axis=0,
    fill_mode='nearest',
    cval=0.0,
    interpolation_order=1
)

Deprecated: tf.keras.preprocessing.image.random_shift does not operate on tensors and is not recommended for new code. Prefer tf.keras.layers.RandomTranslation which provides equivalent functionality as a preprocessing layer. For more information, see the tutorial for augmenting images, as well as the preprocessing layer guide.

Args
x	Input tensor. Must be 3D.
wrg	Width shift range, as a float fraction of the width.
hrg	Height shift range, as a float fraction of the height.
row_axis	Index of axis for rows in the input tensor.
col_axis	Index of axis for columns in the input tensor.
channel_axis	Index of axis for channels in the input tensor.
fill_mode	Points outside the boundaries of the input are filled according to the given mode (one of {'constant', 'nearest', 'reflect', 'wrap'}).
cval	Value used for points outside the boundaries of the input if mode='constant'.
interpolation_order	int, order of spline interpolation. see ndimage.interpolation.affine_transform

Returns
Shifted Numpy image tensor.