mlr_pipeops_augment_random_crop: Random Crop Augmentation
In mlr-org/mlr3torch: Deep Learning with 'mlr3'
mlr_pipeops_augment_random_crop R Documentation
Random Crop Augmentation
Description
Calls torchvision::transform_random_crop,
see there for more information on the parameters.
The preprocessing is applied to each element of a batch individually.
Format
R6Class inheriting from PipeOpTaskPreprocTorch.
Construction
po("augment_random_crop"")
Parameters
Id Type Default Levels
size untyped -
padding untyped NULL
pad_if_needed logical FALSE TRUE, FALSE
fill untyped 0L
padding_mode character constant constant, edge, reflect, symmetric
stages character - train, predict, both
affect_columns untyped selector_all()
mlr-org/mlr3torch documentation built on April 17, 2025, 8:22 p.m.
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| mlr_pipeops_augment_random_crop | R Documentation |
Random Crop Augmentation
Description
Calls torchvision::transform_random_crop,
see there for more information on the parameters.
The preprocessing is applied to each element of a batch individually.
Format
R6Class inheriting from PipeOpTaskPreprocTorch.
Construction
po("augment_random_crop"")
Parameters
| Id | Type | Default | Levels |
| size | untyped | - | |
| padding | untyped | NULL | |
| pad_if_needed | logical | FALSE | TRUE, FALSE |
| fill | untyped | 0L | |
| padding_mode | character | constant | constant, edge, reflect, symmetric |
| stages | character | - | train, predict, both |
| affect_columns | untyped | selector_all() | |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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