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.
Input shape
3D
unbatched) or 4D (batched) tensor with shape
(..., height, width, channels), in "channels_last" format,
or (..., channels, height, width), in "channels_first" format.
Output shape
3D
unbatched) or 4D (batched) tensor with shape
(..., target_height, target_width, channels),
or (..., channels, target_height, target_width),
in "channels_first" format.
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. Available methods are "constant",
"nearest", "wrap" and "reflect". Defaults to "constant".
"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 specified by
fill_value.
"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.
Note that when using torch backend, "reflect" is redirected to
"mirror"(c d c b | a b c d | c b a b) because torch does not
support "reflect".
Note that torch backend does not support "wrap".
a float that represents the value to be filled outside
the boundaries when fill_mode="constant".
data_format
string, either "channels_last" or "channels_first".
The ordering of the dimensions in the inputs. "channels_last"
corresponds to inputs with shape (batch, height, width, channels)
while "channels_first" corresponds to inputs with shape
(batch, channels, height, width). It defaults to the
image_data_format value found in your Keras config file at
~/.keras/keras.json. If you never set it, then it will be
"channels_last".
**kwargs
Base layer keyword arguments, such as name and dtype.
This method is the reverse of get_config,
capable of instantiating the same layer from the config
dictionary. It does not handle layer connectivity
(handled by Network), nor weights (handled by set_weights).
Args
config
A Python dictionary, typically the
output of get_config.
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