layer_spatial_transformer_2d: spatial transformer layer (2-D and 3-D)

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

spatial transformer layer (2-D and 3-D)

Description

Wraps a custom spatial transformer layer

Usage

layer_spatial_transformer_2d(
  object,
  resampledSize,
  transformType = "affine",
  interpolatorType = "linear",
  name = NULL
)

layer_spatial_transformer_3d(
  object,
  resampledSize,
  transformType = "affine",
  interpolatorType = "linear",
  name = NULL
)

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.
resampledSize	size of the output in voxels
transformType	the spatial transform
interpolatorType	interpolation used for the sampling
name	The name of the layer

Value

a keras layer tensor

Examples

## Not run: 
model <- keras_model_sequential()
input_shape = c(20, 20, 1)
model = model %>%
  layer_conv_2d(filters = 32, kernel_size = c(3,3), activation = 'relu',
                input_shape = input_shape)
model  %>%
  layer_spatial_transformer_2d(resampledSize = c(50, 50))
model  %>%
  layer_spatial_transformer_2d(resampledSize = c(50, 50, 1))

## End(Not run)

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