mlr_pipeopsaugment_color_jitter: Color Jitter Augmentation
In mlr3torch: Deep Learning with 'mlr3'
mlr_pipeops_augment_color_jitter R Documentation
Color Jitter Augmentation
Description
Calls torchvision::transform_color_jitter,
see there for more information on the parameters.
The preprocessing is applied to each element of a batch individually.
Format
R6Class inheriting from PipeOpTaskPreprocTorch.
Parameters
Id Type Default Levels Range
brightness numeric 0 [0, \infty)
contrast numeric 0 [0, \infty)
saturation numeric 0 [0, \infty)
hue numeric 0 [0, \infty)
stages character - train, predict, both -
affect_columns untyped selector_all() -
mlr3torch documentation built on April 4, 2025, 3:03 a.m.
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| mlr_pipeops_augment_color_jitter | R Documentation |
Color Jitter Augmentation
Description
Calls torchvision::transform_color_jitter,
see there for more information on the parameters.
The preprocessing is applied to each element of a batch individually.
Format
R6Class inheriting from PipeOpTaskPreprocTorch.
Parameters
| Id | Type | Default | Levels | Range |
| brightness | numeric | 0 | [0, \infty) |
|
| contrast | numeric | 0 | [0, \infty) |
|
| saturation | numeric | 0 | [0, \infty) |
|
| hue | numeric | 0 | [0, \infty) |
|
| 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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