FastAI.jl

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apply

function defined in module DataAugmentation


			apply(tfm, item[; randstate])
apply(tfm, items[; randstate])

Apply tfm to an item or a tuple items.

Methods

There are 23 methods for DataAugmentation.apply:

base.jl:107
base.jl:76
buffered.jl:52
buffered.jl:88
colortransforms.jl:100
colortransforms.jl:36
items/arrayitem.jl:33
oneof.jl:24
preprocessing.jl:238
preprocessing.jl:158
preprocessing.jl:24
preprocessing.jl:25
preprocessing.jl:70
preprocessing.jl:122
projective/affine.jl:222
projective/base.jl:101
projective/crop.jl:20
rowtransforms.jl:28
rowtransforms.jl:66
rowtransforms.jl:117
sequence.jl:32
sequence.jl:40
wrapper.jl:20
Backlinks

The following pages link back here:

Custom learning tasks

DataAugmentation.jl , base.jl , buffered.jl , colortransforms.jl , items/arrayitem.jl , oneof.jl , preprocessing.jl , projective/affine.jl , projective/base.jl , projective/crop.jl , rowtransforms.jl , sequence.jl , testing.jl , wrapper.jl , FastVision.jl , encodings/imagepreprocessing.jl , encodings/onehot.jl , encodings/projective.jl