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Calls torchvision::transform_random_resized_crop, see there for more information on the parameters. The preprocessing is applied row wise (no batch dimension).

Format

R6Class inheriting from PipeOpTaskPreprocTorch.

Parameters

IdTypeDefaultLevelsRange
sizeuntyped--
scaleuntypedc(0.08, 1)-
ratiountypedc(3/4, 4/3)-
interpolationinteger2\([0, 3]\)
stagescharacter-train, predict, both-
affect_columnsuntypedselector_all()-