Randomly translate each image during training
layer_random_translation(
object,
height_factor,
width_factor,
fill_mode = "reflect",
interpolation = "bilinear",
seed = NULL,
fill_value = 0,
...
)What to compose the new Layer instance with. Typically a
Sequential model or a Tensor (e.g., as returned by layer_input()).
The return value depends on object. If object is:
missing or NULL, the Layer instance is returned.
a Sequential model, the model with an additional layer is returned.
a Tensor, the output tensor from layer_instance(object) is returned.
a float represented as fraction of value, or a list 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 = c(-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%].
a float represented as fraction of value, or a list 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 = c(-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%.
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 mode. Supported values: "nearest",
"bilinear".
Integer. Used to create a random seed.
a float represents the value to be filled outside the boundaries
when fill_mode="constant".
standard layer arguments.
Other image augmentation layers:
layer_random_contrast(),
layer_random_crop(),
layer_random_flip(),
layer_random_height(),
layer_random_rotation(),
layer_random_width(),
layer_random_zoom()
Other preprocessing layers:
layer_category_encoding(),
layer_center_crop(),
layer_discretization(),
layer_hashing(),
layer_integer_lookup(),
layer_normalization(),
layer_random_contrast(),
layer_random_crop(),
layer_random_flip(),
layer_random_height(),
layer_random_rotation(),
layer_random_width(),
layer_random_zoom(),
layer_rescaling(),
layer_resizing(),
layer_string_lookup(),
layer_text_vectorization()