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