tf.keras.preprocessing.image.random_shift
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Performs a random spatial shift of a Numpy image tensor.
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.
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.preprocessing.image.random_shift\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/preprocessing/image/random_shift) |\n\nPerforms a random spatial shift of a Numpy image tensor.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.preprocessing.image.random_shift`](/api_docs/python/tf/keras/preprocessing/image/random_shift), \\`tf.compat.v2.keras.preprocessing.image.random_shift\\`\n\n\u003cbr /\u003e\n\n tf.keras.preprocessing.image.random_shift(\n x, wrg, hrg, row_axis=1, col_axis=2, channel_axis=0, fill_mode='nearest',\n cval=0.0, interpolation_order=1\n )\n\nArguments\n=========\n\n x: Input tensor. Must be 3D.\n wrg: Width shift range, as a float fraction of the width.\n hrg: Height shift range, as a float fraction of the height.\n row_axis: Index of axis for rows in the input tensor.\n col_axis: Index of axis for columns in the input tensor.\n channel_axis: Index of axis for channels in the input tensor.\n fill_mode: Points outside the boundaries of the input\n are filled according to the given mode\n (one of `{'constant', 'nearest', 'reflect', 'wrap'}`).\n cval: Value used for points outside the boundaries\n of the input if `mode='constant'`.\n interpolation_order: int, order of spline interpolation.\n see `ndimage.interpolation.affine_transform`\n\nReturns\n=======\n\n Shifted Numpy image tensor."]]
TensorFlow 2 version