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36 lines
1.3 KiB
36 lines
1.3 KiB
import os
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from .reader_image_folder import ReaderImageFolder
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from .reader_image_in_tar import ReaderImageInTar
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def create_reader(name, root, split='train', **kwargs):
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name = name.lower()
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name = name.split('/', 1)
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prefix = ''
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if len(name) > 1:
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prefix = name[0]
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name = name[-1]
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# FIXME improve the selection right now just tfds prefix or fallback path, will need options to
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# explicitly select other options shortly
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if prefix == 'hfds':
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from .reader_hfds import ReaderHfds # defer tensorflow import
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reader = ReaderHfds(root, name, split=split, **kwargs)
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elif prefix == 'tfds':
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from .reader_tfds import ReaderTfds # defer tensorflow import
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reader = ReaderTfds(root, name, split=split, **kwargs)
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elif prefix == 'wds':
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from .reader_wds import ReaderWds
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kwargs.pop('download', False)
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reader = ReaderWds(root, name, split=split, **kwargs)
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else:
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assert os.path.exists(root)
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# default fallback path (backwards compat), use image tar if root is a .tar file, otherwise image folder
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# FIXME support split here or in reader?
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if os.path.isfile(root) and os.path.splitext(root)[1] == '.tar':
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reader = ReaderImageInTar(root, **kwargs)
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else:
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reader = ReaderImageFolder(root, **kwargs)
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return reader
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