Translates image(s) by provided vectors.
tfm.vision.augment.translate(
image: tf.Tensor,
translations,
fill_value: float = 0.0,
fill_mode: str = 'reflect',
interpolation: str = 'nearest'
) -> tf.Tensor
Args |
image
|
An image Tensor of type uint8.
|
translations
|
A vector or matrix representing [dx dy].
|
fill_value
|
a float represents the value to be filled outside the boundaries
when fill_mode="constant" .
|
fill_mode
|
Points outside the boundaries of the input are filled according
to the given mode (one of {"constant", "reflect", "wrap", "nearest"} ).
|
interpolation
|
Interpolation mode. Supported values: "nearest" ,
"bilinear" .
|
Returns |
The translated version of the image.
|