tf.keras.preprocessing.image.random_shift

TensorFlow 2 version

Performs a random spatial shift of a Numpy image tensor.

Aliases:

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
)

Arguments

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.