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tf.keras.preprocessing.image.random_shift

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Performs a random spatial shift of a Numpy image tensor.

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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
)
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/r2.4/api_docs/python/tf/keras/preprocessing/image/random_shift

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