tf.keras.preprocessing.image.random

TensorFlow 1 version

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Performs a random spatial zoom of a Numpy image tensor.

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See Migration guide for more details.

tf.compat.v1.keras.preprocessing.image.random_zoom

tf.keras.preprocessing.image.random_zoom(
    x, zoom_range, 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.
`zoom_range`	Tuple of floats; zoom range for width and 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
Zoomed Numpy image tensor.

Raises
`ValueError`	if `zoom_range` isn't a tuple.

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tf.keras / preprocessing / preprocessing.image.random_shear

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