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.
|