tf.keras.preprocessing.image.apply_affine_transform

Applies an affine transformation specified by the parameters given.

View aliases

Compat aliases for migration

See Migration guide for more details.

`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=1,
    col_axis=2,
    channel_axis=0,
    fill_mode='nearest',
    cval=0.0,
    order=1
)

Args
x	3D numpy array - a 2D image with one or more channels.
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 (aka Y axis) in the input image. Direction: left to right.
col_axis	Index of axis for columns (aka X axis) in the input image. Direction: top to bottom.
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.

Raises
ImportError	if SciPy is not available.