tf.keras.preprocessing.image.apply_affine_transform
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=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. |