mirror of https://github.com/alibaba/EasyCV.git
58 lines
2.0 KiB
Python
58 lines
2.0 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import copy
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from PIL import Image
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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.framework.errors import NotImplementedError
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from easycv.utils.registry 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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results = self.data_source[idx]
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img = results['img']
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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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imgs_list = []
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# only perform transforms to img
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for trans in self.transforms_list:
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tmp_input = {'img': copy.deepcopy(img)}
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tmp_result = trans(tmp_input)
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imgs_list.append(tmp_result['img'])
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results['img'] = imgs_list
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return results
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def evaluate(self, results, evaluators, logger=None):
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raise NotImplementedError
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