A preprocessing layer which randomly zooms images during training.
Inherits From: Layer
, Module
tf.keras.layers.RandomZoom(
height_factor,
width_factor=None,
fill_mode='reflect',
interpolation='bilinear',
seed=None,
fill_value=0.0,
**kwargs
)
This layer will randomly zoom in or out on each axis of an image
independently, filling empty space according to fill_mode
.
Input pixel values can be of any range (e.g. [0., 1.)
or [0, 255]
) and
of integer 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 zooming vertically. When represented as a single float,
this value is used for both the upper and
lower bound. A positive value means zooming out,
while a negative value
means zooming in. For instance, height_factor=(0.2, 0.3)
result in an output zoomed out by a random amount
in the range [+20%, +30%] .
height_factor=(-0.3, -0.2) result in an output zoomed
in by a random amount in the range [+20%, +30%] .
|
width_factor
|
a float represented as fraction of value,
or a tuple of size 2 representing lower and upper bound
for zooming horizontally. When
represented as a single float, this value is used
for both the upper and
lower bound. For instance, width_factor=(0.2, 0.3)
result in an output
zooming out between 20% to 30%.
width_factor=(-0.3, -0.2) result in an
output zooming in between 20% to 30%. None means
i.e., zooming vertical and horizontal directions
by preserving the aspect ratio. Defaults to None .
|
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" .
|
Example:
input_img = np.random.random((32, 224, 224, 3))
layer = tf.keras.layers.RandomZoom(.5, .2)
out_img = layer(input_img)
out_img.shape
TensorShape([32, 224, 224, 3])
|
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.
|