text_html_output_4.png text_plain_output_4.png text_html_output_2.png text_plain_output_3.png text_html_output_1.png text_plain_output_2.png text_plain_output_1.png text_html_output_3.png
from radtorch import pipeline, core, utils

train_dir = '/train_data/train/'
test_dir = '/test_data/test1/'

table = utils.datatable_from_filepath(train_dir, classes=['dog', 'cat'])
table.head()