mirror of https://github.com/open-mmlab/mmocr.git
52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
data_root = 'data/icdar2015'
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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://rrc.cvc.uab.es/downloads/ch4_training_images.zip',
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save_name='ic15_textdet_train_img.zip',
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md5='c51cbace155dcc4d98c8dd19d378f30d',
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split=['train'],
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content=['image'],
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mapping=[['ic15_textdet_train_img', 'textdet_imgs/train']]),
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dict(
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url='https://rrc.cvc.uab.es/downloads/ch4_test_images.zip',
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save_name='ic15_textdet_test_img.zip',
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md5='97e4c1ddcf074ffcc75feff2b63c35dd',
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split=['test'],
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content=['image'],
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mapping=[['ic15_textdet_test_img', 'textdet_imgs/test']]),
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dict(
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url='https://rrc.cvc.uab.es/downloads/'
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'ch4_training_localization_transcription_gt.zip',
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save_name='ic15_textdet_train_gt.zip',
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md5='3bfaf1988960909014f7987d2343060b',
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split=['train'],
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content=['annotation'],
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mapping=[['ic15_textdet_train_gt', 'annotations/train']]),
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dict(
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url='https://rrc.cvc.uab.es/downloads/'
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'Challenge4_Test_Task4_GT.zip',
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save_name='ic15_textdet_test_gt.zip',
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md5='8bce173b06d164b98c357b0eb96ef430',
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split=['test'],
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content=['annotation'],
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mapping=[['ic15_textdet_test_gt', 'annotations/test']]),
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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=['.jpg', '.JPG'],
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rule=[r'img_(\d+)\.([jJ][pP][gG])', r'gt_img_\1.txt']),
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parser=dict(type='ICDARTxtTextDetAnnParser'),
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dumper=dict(type='JsonDumper'),
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delete=['annotations', 'ic15_textdet_test_img', 'ic15_textdet_train_img'])
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