fastai: ImageDataLoaders_from_folder – R documentation

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fastai

ImageDataLoaders_from_folder

ImageDataLoaders from folder

Description

Create from imagenet style dataset in 'path' with 'train' and 'valid' subfolders (or provide 'valid_pct')

Usage

ImageDataLoaders_from_folder(
  path,
  train = "train",
  valid = "valid",
  valid_pct = NULL,
  seed = NULL,
  vocab = NULL,
  item_tfms = NULL,
  batch_tfms = NULL,
  bs = 64,
  val_bs = NULL,
  shuffle_train = TRUE,
  device = NULL,
  size = NULL,
  ...
)

Arguments

`path`	The folder where to work
`train`	train data
`valid`	validation data
`valid_pct`	validion percentage
`seed`	random seed
`vocab`	vocabulary
`item_tfms`	One or several transforms applied to the items before batching them
`batch_tfms`	One or several transforms applied to the batches once they are formed
`bs`	batch size
`val_bs`	The batch size for the validation DataLoader (defaults to bs)
`shuffle_train`	If we shuffle the training DataLoader or not
`device`	device name
`size`	image size
`...`	additional parameters to pass

fastai

Interface to 'fastai'

v2.0.7

Apache License 2.0

Authors

Turgut Abdullayev [ctb, cre, cph, aut]

Initial release

ImageDataLoaders_from_folder

Description

Usage

Arguments

fastai

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