tf.keras.preprocessing.image.random_shear

Performs a random spatial shear of a Numpy image tensor.

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
)

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

Sheared Numpy image tensor.