tf.keras.preprocessing.image.apply_affine_transform

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Applies an affine transformation specified by the parameters given.

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tf.compat.v1.keras.preprocessing.image.apply_affine_transform

tf.keras.preprocessing.image.apply_affine_transform(
    x, theta=0, tx=0, ty=0, shear=0, zx=1, zy=1, row_axis=0, col_axis=1,
    channel_axis=2, fill_mode='nearest', cval=0.0, order=1
)

Arguments
x	2D numpy array, single image.
theta	Rotation angle in degrees.
tx	Width shift.
ty	Heigh shift.
shear	Shear angle in degrees.
zx	Zoom in x direction.
zy	Zoom in y direction
row_axis	Index of axis for rows in the input image.
col_axis	Index of axis for columns in the input image.
channel_axis	Index of axis for channels in the input image.
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'.
order	int, order of interpolation

Returns
The transformed version of the input.