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data_root = 'data/synthtext'
cache_path = 'data/cache'
train_preparer = dict(
obtainer=dict(
type='NaiveDataObtainer',
cache_path=cache_path,
files=[
dict(
url='magnet:?xt=urn:btih:2dba9518166cbd141534cbf381aa3e99a08'
'7e83c&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&t'
'r=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2F'
'tracker.opentrackr.org%3A1337%2Fannounce',
save_name='SynthText.zip',
md5='8ae0309c80ff882f9d6ba5ea62cdb556',
split=['train'],
content=['image', 'annotation'],
mapping=[['SynthText/SynthText/*', 'textdet_imgs/train/'],
['textdet_imgs/train/gt.mat', 'annotations/gt.mat']]),
]),
gatherer=dict(type='MonoGatherer', ann_name='gt.mat'),
parser=dict(type='SynthTextAnnParser'),
packer=dict(type='TextDetPacker'),
dumper=dict(type='JsonDumper'),
)
delete = ['SynthText', 'annotations']
config_generator = dict(
type='TextDetConfigGenerator', data_root=data_root, test_anns=None)
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