A preprocessing layer which randomly translates images during training.
Inherits From: Layer, Module
tf.keras.layers.RandomTranslation(
height_factor,
width_factor,
fill_mode='reflect',
interpolation='bilinear',
seed=None,
fill_value=0.0,
**kwargs
)
This layer will apply random translations to each image during training,
filling empty space according to fill_mode.
Input pixel values can be of any range (e.g. [0., 1.) or [0, 255]) and
of interger or floating point dtype. By default, the layer will output floats.
For an overview and full list of preprocessing layers, see the preprocessing
guide.
Args |
|---|
height_factor
|
a float represented as fraction of value, or a tuple of size
2 representing lower and upper bound for shifting vertically. A negative
value means shifting image up, while a positive value means shifting image
down. When represented as a single positive float, this value is used for
both the upper and lower bound. For instance, height_factor=(-0.2, 0.3)
results in an output shifted by a random amount in the range
[-20%, +30%].
height_factor=0.2 results in an output height shifted by a random amount
in the range [-20%, +20%].
|
width_factor
|
a float represented as fraction of value, or a tuple of size 2
representing lower and upper bound for shifting horizontally. A negative
value means shifting image left, while a positive value means shifting
image right. When represented as a single positive float, this value is
used for both the upper and lower bound. For instance,
width_factor=(-0.2, 0.3) results in an output shifted left by 20%, and
shifted right by 30%. width_factor=0.2 results in an output height
shifted left or right by 20%.
|
fill_mode
|
Points outside the boundaries of the input are filled according
to the given mode (one of {"constant", "reflect", "wrap", "nearest"}).
- reflect:
(d c b a | a b c d | d c b a) The input is extended by
reflecting about the edge of the last pixel.
- constant:
(k k k k | a b c d | k k k k) The input is extended by
filling all values beyond the edge with the same constant value k = 0.
- wrap:
(a b c d | a b c d | a b c d) The input is extended by
wrapping around to the opposite edge.
- nearest:
(a a a a | a b c d | d d d d) The input is extended by the
nearest pixel.
|
interpolation
|
Interpolation mode. Supported values: "nearest",
"bilinear".
|
seed
|
Integer. Used to create a random seed.
|
fill_value
|
a float represents the value to be filled outside the boundaries
when fill_mode="constant".
|
|
|---|
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), in "channels_last" format.
|
Output shape |
|---|
3D (unbatched) or 4D (batched) tensor with shape:
(..., height, width, channels), in "channels_last" format.
|
View source on GitHub