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tf.keras.preprocessing.image.random_shift

Performs a random spatial shift of a Numpy image tensor.

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.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/preprocessing/image/random_shift