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.. note::
Before using this class, it is required to download ImageNet 2012 dataset from
`here `_ and
place the files ``ILSVRC2012_devkit_t12.tar.gz`` and ``ILSVRC2012_img_train.tar``
or ``ILSVRC2012_img_val.tar`` based on ``split`` in the root directory.
Args:
root (string): Root directory of the ImageNet Dataset.
split (string, optional): The dataset split, supports ``train``, or ``val``.
transform (callable, optional): A function/transform that takes in an PIL image
and returns a transformed version. E.g, ``transforms.RandomCrop``
target_transform (callable, optional): A function/transform that takes in the
target and transforms it.
loader (callable, optional): A function to load an image given its path.
Attributes:
classes (list): List of the class name tuples.
class_to_idx (dict): Dict with items (class_name, class_index).
wnids (list): List of the WordNet IDs.
wnid_to_idx (dict): Dict with items (wordnet_id, class_index).
imgs (list): List of (image path, class_index) tuples
targets (list): The class_index value for each image in the dataset
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file (str, optional): Name of devkit archive. Defaults to
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root (str): Root directory containing the train images archive
file (str, optional): Name of train images archive. Defaults to
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folder (str, optional): Optional name for train images folder. Defaults to
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|tj |tj| qUdS )af Parse the validation images archive of the ImageNet2012 classification dataset
and prepare it for usage with the ImageNet dataset.
Args:
root (str): Root directory containing the validation images archive
file (str, optional): Name of validation images archive. Defaults to
'ILSVRC2012_img_val.tar'
wnids (list, optional): List of WordNet IDs of the validation images. If None
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folder (str, optional): Optional name for validation images folder. Defaults to
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