tf.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
)

Defined in tensorflow/python/keras/preprocessing/image.py.

Performs a random spatial shear of a Numpy image tensor.

Arguments:

• 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'.

Returns:

Sheared Numpy image tensor.