Applies an affine transformation specified by the parameters given.
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.
|
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TensorFlow 1 version
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