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49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
import numpy as np
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from unittest import TestCase
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from datumaro.components.project import Project
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from datumaro.components.extractor import Extractor, DatasetItem
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from datumaro.plugins.image_dir import ImageDirConverter
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from datumaro.util.test_utils import TestDir, compare_datasets
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class ImageDirFormatTest(TestCase):
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def test_can_load(self):
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class TestExtractor(Extractor):
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def __iter__(self):
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return iter([
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DatasetItem(id=1, image=np.ones((10, 6, 3))),
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DatasetItem(id=2, image=np.ones((5, 4, 3))),
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])
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with TestDir() as test_dir:
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source_dataset = TestExtractor()
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ImageDirConverter.convert(source_dataset, save_dir=test_dir)
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project = Project.import_from(test_dir, 'image_dir')
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parsed_dataset = project.make_dataset()
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compare_datasets(self, source_dataset, parsed_dataset)
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def test_relative_paths(self):
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class TestExtractor(Extractor):
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def __iter__(self):
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return iter([
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DatasetItem(id='1', image=np.ones((4, 2, 3))),
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DatasetItem(id='subdir1/1', image=np.ones((2, 6, 3))),
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DatasetItem(id='subdir2/1', image=np.ones((5, 4, 3))),
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])
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with TestDir() as test_dir:
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source_dataset = TestExtractor()
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ImageDirConverter.convert(source_dataset, save_dir=test_dir)
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project = Project.import_from(test_dir, 'image_dir')
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parsed_dataset = project.make_dataset()
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compare_datasets(self, source_dataset, parsed_dataset)
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