layer_resample_tensor_2d: Creates a resampled tensor (to fixed size) layer (2-D)

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Creates a resampled tensor (to fixed size) layer (2-D)

Description

Resamples a spatial tensor based on the specified shape and interpolation type.

Usage

layer_resample_tensor_2d(
  object,
  shape,
  interpolationType = c("nearestNeighbor", "nearest", "linear", "bilinear", "cubic",
    "bicubic"),
  name = NULL,
  trainable = FALSE
)

Arguments

object	Object to compose layer with. This is either a keras::keras_model_sequential to add the layer to, or another Layer which this layer will call.
shape	vector or list of length 2 specifying the shape of the output tensor.
interpolationType	type of interpolation for resampling. Can be nearestNeighbor, nearest, linear, bilinear, cubic, or bicubic.
name	The name of the layer
trainable	Whether the layer weights will be updated during training.

Value

a keras layer tensor

Author(s)

Tustison NJ

ANTsX/ANTsRNet documentation built on Nov. 21, 2024, 4:07 a.m.