Grayscale Transformation

Calls torchvision::transform_grayscale, see there for more information on the parameters. The preprocessing is applied to each element of a batch individually.

Being a trafo_ operator, its stages parameter starts out as "both", so the transformation is applied both while training and when predicting. Set stages = "train" to restrict it to training. See PipeOpTaskPreprocTorch for the stages parameter and this naming convention.

Format

R6Class inheriting from PipeOpTaskPreprocTorch.

Construction

po("trafo_grayscale")

Parameters

Id	Type	Default	Levels	Range
num_output_channels	integer	-		\([1, 3]\)
stages	character	-	train, predict, both	-
affect_columns	untyped	selector_all()		-