mirror of https://github.com/open-mmlab/mmocr.git
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
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data_root = 'data/funsd'
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cache_path = 'data/cache'
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data_obtainer = dict(
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type='NaiveDataObtainer',
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cache_path=cache_path,
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data_root=data_root,
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files=[
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dict(
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url='https://guillaumejaume.github.io/FUNSD/dataset.zip',
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save_name='funsd.zip',
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md5='e05de47de238aa343bf55d8807d659a9',
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split=['train', 'test'],
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content=['image', 'annotation'],
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mapping=[
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['funsd/dataset/training_data/images', 'textdet_imgs/train'],
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['funsd/dataset/testing_data/images', 'textdet_imgs/test'],
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[
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'funsd/dataset/training_data/annotations',
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'annotations/train'
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],
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['funsd/dataset/testing_data/annotations', 'annotations/test'],
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]),
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])
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data_converter = dict(
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type='TextDetDataConverter',
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splits=['train', 'test'],
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data_root=data_root,
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gatherer=dict(
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type='pair_gather',
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suffixes=['.png'],
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rule=[r'(\w+)\.png', r'\1.json']),
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parser=dict(type='FUNSDTextDetAnnParser'),
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dumper=dict(type='JsonDumper'),
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delete=['annotations', 'funsd'])
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config_generator = dict(type='TextDetConfigGenerator', data_root=data_root)
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