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pytorch-image-models/timm/data/parsers/parser_factory.py

30 lines
1.1 KiB

import os
from .parser_image_folder import ParserImageFolder
from .parser_image_tar import ParserImageTar
from .parser_image_in_tar import ParserImageInTar
def create_parser(name, root, split='train', **kwargs):
name = name.lower()
name = name.split('/', 2)
prefix = ''
if len(name) > 1:
prefix = name[0]
name = name[-1]
# FIXME improve the selection right now just tfds prefix or fallback path, will need options to
# explicitly select other options shortly
if prefix == 'tfds':
from .parser_tfds import ParserTfds # defer tensorflow import
parser = ParserTfds(root, name, split=split, **kwargs)
else:
assert os.path.exists(root)
# default fallback path (backwards compat), use image tar if root is a .tar file, otherwise image folder
# FIXME support split here, in parser?
if os.path.isfile(root) and os.path.splitext(root)[1] == '.tar':
parser = ParserImageInTar(root, **kwargs)
else:
parser = ParserImageFolder(root, **kwargs)
return parser