convOutputLength: Compute output length in single dimension for convolution...

In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing

Compute output length in single dimension for convolution filter

Description

Utility function to calculate the output shape of a convolutional filter along a single dimension. It's based on the python keras utility located here

Usage

convOutputLength(
  inputLength,
  filterSize,
  stride,
  dilation = 1,
  padding = c("same", "valid", "full", "causal")
)

Arguments

inputLength	input size along a single dimension.
filterSize	kernel size along a single dimension.
stride	stride length along a single dimension.
dilation	dilation rate along a single dimension.
padding	type of padding. Can be "same", "valid", "full", or "causal".

Details

https://github.com/keras-team/keras/blob/master/keras/utils/conv_utils.py#L118-L141

but I can't see to locate it's R analog so it's reproduced explicitly in ANTsRNet.

Value

the output size along a single dimension.

Author(s)

Tustison NJ

Examples

library( ANTsRNet )
outputSize <- convOutputLength( 256, filterSize = 3, stride = 2, padding = "same" )
testthat::expect_identical( outputSize, 128 )

ANTsX/ANTsRNet documentation built on April 23, 2024, 1:24 p.m.