Source code for chainercv.chainer_experimental.datasets.sliceable.transform_dataset
from chainercv.chainer_experimental.datasets.sliceable import GetterDataset
[docs]class TransformDataset(GetterDataset):
"""A sliceable version of :class:`chainer.datasets.TransformDataset`.
Note that it reuqires :obj:`keys` to determine the names of returned
values.
Here is an example.
>>> def transfrom(in_data):
>>> img, bbox, label = in_data
>>> ...
>>> return new_img, new_label
>>>
>>> dataset = TramsformDataset(dataset, ('img', 'label'), transform)
>>> dataset.keys # ('img', 'label')
Args:
dataset: The underlying dataset.
This dataset should have :meth:`__len__` and :meth:`__getitem__`.
keys (int or string or tuple of strings): The number or name(s) of
data that the transform function returns.
transform (callable): A function that is called to transform values
returned by the underlying dataset's :meth:`__getitem__`.
"""
def __init__(self, dataset, keys, transform):
super(TransformDataset, self).__init__()
self._dataset = dataset
self._transform = transform
if isinstance(keys, int):
if keys == 1:
keys = None
else:
keys = (None,) * keys
self.add_getter(keys, self._get)
def __len__(self):
return len(self._dataset)
def _get(self, index):
return self._transform(self._dataset[index])