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55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import random
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from PIL import Image, ImageFilter, ImageOps
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from torchvision import transforms
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from easycv.datasets.builder import build_datasource
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from easycv.datasets.registry import DATASETS, PIPELINES
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from easycv.datasets.shared.base import BaseDataset
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from easycv.datasets.shared.pipelines.transforms import Compose
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from easycv.utils import build_from_cfg
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@DATASETS.register_module
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class MultiViewDataset(BaseDataset):
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"""The dataset outputs multiple views of an image.
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The number of views in the output dict depends on `num_views`. The
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image can be processed by one pipeline or multiple piepelines.
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Args:
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num_views (list): The number of different views.
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pipelines (list[list[dict]]): A list of pipelines.
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"""
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def __init__(self, data_source, num_views, pipelines):
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self.data_source = build_datasource(data_source)
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pipelines_list = []
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for pipe in pipelines:
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pipeline = Compose([build_from_cfg(p, PIPELINES) for p in pipe])
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pipelines_list.append(pipeline)
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self.transforms_list = []
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assert isinstance(num_views, list)
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for i in range(len(num_views)):
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self.transforms_list.extend([pipelines_list[i]] * num_views[i])
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def __getitem__(self, idx):
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if hasattr(self.data_source,
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'has_labels') and self.data_source.has_labels:
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img, _ = self.data_source.get_sample(idx)
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else:
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img = self.data_source.get_sample(idx)
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assert isinstance(img, Image.Image), \
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f'The output from the data source must be an Image, got: {type(img)}. \
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Please ensure that the list file does not contain labels.'
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outputs = list(map(lambda trans: trans(img), self.transforms_list))
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return dict(img=outputs)
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def evaluate(self, results, evaluators, logger=None):
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raise NotImplementedError
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