tf.keras.preprocessing.image.random_shear

Performs a random spatial shear of a Numpy image tensor.

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`tf.compat.v1.keras.preprocessing.image.random_shear`

tf.keras.preprocessing.image.random_shear(
    x,
    intensity,
    row_axis=1,
    col_axis=2,
    channel_axis=0,
    fill_mode='nearest',
    cval=0.0,
    interpolation_order=1
)

Args
x	Input tensor. Must be 3D.
intensity	Transformation intensity in degrees.
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
Sheared Numpy image tensor.