ImageDataLoaders from csv — ImageDataLoaders_from

Create from `path/csv_fname` using `fn_col` and `label_col`

ImageDataLoaders_from_csv(
  path,
  csv_fname = "labels.csv",
  header = "infer",
  delimiter = NULL,
  valid_pct = 0.2,
  seed = NULL,
  fn_col = 0,
  folder = NULL,
  suff = "",
  label_col = 1,
  label_delim = NULL,
  y_block = NULL,
  valid_col = NULL,
  item_tfms = NULL,
  batch_tfms = NULL,
  bs = 64,
  val_bs = NULL,
  size = NULL,
  shuffle_train = TRUE,
  device = NULL,
  ...
)

Arguments

path: The folder where to work
csv_fname: csv file name
header: header
delimiter: delimiter
valid_pct: validation percentage
seed: random seed
fn_col: column name
folder: folder name
suff: suff
label_col: label column
label_delim: label delimiter
y_block: y_block
valid_col: validation column
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)
size: image size
shuffle_train: If we shuffle the training DataLoader or not
device: device name
...: additional parameters to pass

Value

None