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Co-authored-by: Laughing-q <1185102784@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Ayush Chaurasia <ayushchaurasia@Ayushs-MacBook-Pro.local> Co-authored-by: Ayush Chaurasia <ayush.chuararsia@gmail.com>
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
import collections
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from copy import deepcopy
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from .augment import LetterBox
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class MixAndRectDataset:
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"""A wrapper of multiple images mixed dataset.
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Args:
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dataset (:obj:`BaseDataset`): The dataset to be mixed.
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transforms (Sequence[dict]): config dict to be composed.
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"""
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def __init__(self, dataset):
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self.dataset = dataset
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self.img_size = dataset.img_size
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def __len__(self):
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return len(self.dataset)
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def __getitem__(self, index):
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labels = deepcopy(self.dataset[index])
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for transform in self.dataset.transforms.tolist():
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# mosaic and mixup
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if hasattr(transform, "get_indexes"):
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indexes = transform.get_indexes(self.dataset)
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if not isinstance(indexes, collections.abc.Sequence):
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indexes = [indexes]
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mix_labels = [deepcopy(self.dataset[index]) for index in indexes]
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labels["mix_labels"] = mix_labels
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if self.dataset.rect and isinstance(transform, LetterBox):
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transform.new_shape = self.dataset.batch_shapes[self.dataset.batch[index]]
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labels = transform(labels)
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if "mix_labels" in labels:
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labels.pop("mix_labels")
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return labels
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