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54 lines
1.7 KiB
54 lines
1.7 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license
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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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"""
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A dataset class that applies mosaic and mixup transformations as well as rectangular training.
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Attributes:
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dataset: The base dataset.
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imgsz: The size of the images in the dataset.
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"""
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def __init__(self, dataset):
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"""
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Args:
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dataset (BaseDataset): The base dataset to apply transformations to.
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"""
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self.dataset = dataset
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self.imgsz = dataset.imgsz
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def __len__(self):
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"""Returns the number of items in the dataset."""
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return len(self.dataset)
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def __getitem__(self, index):
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"""
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Applies mosaic, mixup and rectangular training transformations to an item in the dataset.
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Args:
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index (int): Index of the item in the dataset.
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Returns:
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(dict): A dictionary containing the transformed item data.
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"""
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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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labels['mix_labels'] = [deepcopy(self.dataset[index]) for index in indexes]
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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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