I think i find a way can help your problem
src = (SegmentationItemList.from_folder(path_img)
.split_none()
# .split_by_folder(train='img', valid='valid')
.label_from_func(get_y_fn, classes=codes))
src_valid = (SegmentationItemList.from_folder(valid_path_img)
.split_none()
.label_from_func(valid_get_y_fn, classes=codes))
src.valid = src_valid.train
data = (src.transform(get_transforms(), size=size, tfm_y=True)
# .add_test_folder()
.databunch(bs=4)
.normalize(imagenet_stats))