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=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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/preprocessing/image/apply_affine_transform