mirror of https://github.com/open-mmlab/mmocr.git
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
_base_ = ['textdet.py']
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_base_.train_preparer.gatherer.img_dir = 'textdet_imgs/train'
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_base_.train_preparer.packer.type = 'TextSpottingPacker'
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_base_.test_preparer.gatherer.img_dir = 'textdet_imgs/test'
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_base_.test_preparer.packer.type = 'TextSpottingPacker'
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_base_.test_preparer.obtainer.files = [
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dict(
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url='https://universityofadelaide.box.com/shared/static/'
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'8xro7hnvb0sqw5e5rxm73tryc59j6s43.zip',
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save_name='totaltext.zip',
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md5='5b56d71a4005a333cf200ff35ce87f75',
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content=['image'],
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mapping=[['totaltext/Images/Test', 'textdet_imgs/test']]),
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dict(
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url='https://universityofadelaide.box.com/shared/static/'
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'2vmpvjb48pcrszeegx2eznzc4izan4zf.zip',
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save_name='txt_format.zip',
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md5='53377a83420b4a0244304467512134e8',
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content=['annotation'],
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mapping=[['txt_format/Test', 'annotations/test']]),
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dict(
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url='https://download.openmmlab.com/mmocr/data/1.x/'
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'textspotting/totaltext/lexicons.tar.gz',
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save_name='totaltext_lexicons.tar.gz',
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md5='59e3dd01ee83355043ac69437e2e2ff2',
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content=['annotation'],
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mapping=[['totaltext_lexicons/lexicons', 'lexicons']]),
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]
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delete = ['totaltext', 'txt_format', 'annotations', 'totaltext_lexicons']
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config_generator = dict(type='TextSpottingConfigGenerator')
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