Source code for mmagic.datasets.imagenet_dataset
# Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
from mmagic.registry import DATASETS
from .basic_conditional_dataset import BasicConditionalDataset
from .categories import IMAGENET_CATEGORIES
@DATASETS.register_module()
[docs]class ImageNet(BasicConditionalDataset):
"""`ImageNet <http://www.image-net.org>`_ Dataset.
The dataset supports two kinds of annotation format. More details can be
found in :class:`CustomDataset`.
Args:
ann_file (str): Annotation file path. Defaults to ''.
metainfo (dict, optional): Meta information for dataset, such as class
information. Defaults to None.
data_root (str): The root directory for ``data_prefix`` and
``ann_file``. Defaults to ''.
data_prefix (str | dict): Prefix for training data. Defaults to ''.
**kwargs: Other keyword arguments in :class:`CustomDataset` and
:class:`BaseDataset`.
""" # noqa: E501
def __init__(self,
ann_file: str = '',
metainfo: Optional[dict] = None,
data_root: str = '',
data_prefix: Union[str, dict] = '',
**kwargs):
kwargs = {'extensions': self.IMG_EXTENSIONS, **kwargs}
super().__init__(
ann_file=ann_file,
metainfo=metainfo,
data_root=data_root,
data_prefix=data_prefix,
**kwargs)