ImageDataLoaders_from_folder: ImageDataLoaders from folder

Description Usage Arguments

View source: R/image_loaders.R

Description

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

Usage

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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 documentation built on July 28, 2021, 5:06 p.m.