mirror of
https://github.com/open-mmlab/mmclassification.git
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43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
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from collections.abc import Sequence
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from mmcv.utils import build_from_cfg
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from ..registry import PIPELINES
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@PIPELINES.register_module
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class Compose(object):
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"""Compose a data pipeline with a sequence of transforms.
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Args:
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transforms (list[dict | callable]):
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Either config dicts of transforms or transform objects.
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"""
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def __init__(self, transforms):
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assert isinstance(transforms, Sequence)
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self.transforms = []
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for transform in transforms:
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if isinstance(transform, dict):
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transform = build_from_cfg(transform, PIPELINES)
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self.transforms.append(transform)
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elif callable(transform):
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self.transforms.append(transform)
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else:
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raise TypeError('transform must be callable or a dict, but got'
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f' {type(transform)}')
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def __call__(self, data):
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for t in self.transforms:
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data = t(data)
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if data is None:
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return None
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return data
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def __repr__(self):
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format_string = self.__class__.__name__ + '('
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for t in self.transforms:
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format_string += f'\n {t}'
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format_string += '\n)'
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return format_string
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