ImageDataLoaders from csv
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, ... )
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 |
None
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