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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
from PIL import Image
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from .registry import DATASETS
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from .base import BaseDataset
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@DATASETS.register_module
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class DeepClusterDataset(BaseDataset):
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"""Dataset for DC and ODC.
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"""
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def __init__(self, data_source, pipeline):
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super(DeepClusterDataset, self).__init__(data_source, pipeline)
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# init clustering labels
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self.labels = [-1 for _ in range(self.data_source.get_length())]
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def __getitem__(self, idx):
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img = self.data_source.get_sample(idx)
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assert isinstance(img, Image.Image), \
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'The output from the data source must be an Image, got: {}. \
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Please ensure that the list file does not contain labels.'.format(
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type(img))
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label = self.labels[idx]
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img = self.pipeline(img)
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return dict(img=img, pseudo_label=label, idx=idx)
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def assign_labels(self, labels):
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assert len(self.labels) == len(labels), \
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"Inconsistent lenght of asigned labels, \
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{} vs {}".format(len(self.labels), len(labels))
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self.labels = labels[:]
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def evaluate(self, scores, keyword, logger=None):
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raise NotImplemented
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