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# The official annotations of CUTE80 has some typos, and we have provided
# the fixed version as done in
# https://github.com/clovaai/deep-text-recognition-benchmark by default.
# If you want to use the original version, please comment out the following
# lines: L10-L31, and uncomment L33-L63
data_root = 'data/cute80'
cache_path = 'data/cache'
test_preparer = dict(
obtainer=dict(
type='NaiveDataObtainer',
cache_path=cache_path,
data_root=data_root,
files=[
dict(
url='https://download.openmmlab.com/mmocr/data/mixture/ct80/'
'timage.tar.gz',
save_name='ct80.tar.gz',
md5='9f3b1fe0e76f1fdfc70de3a365603d5e',
split=['test'],
content=['image'],
mapping=[['ct80/timage', 'textrecog_imgs/test']]),
dict(
url='https://download.openmmlab.com/mmocr/data/1.x/recog/ct80/'
'textrecog_test.json',
save_name='textrecog_test.json',
md5='9c5c79d843b900325e7fd453b318cad9',
split=['test'],
content=['annotation'])
]))
# test_preparer = dict(
# obtainer=dict(
# type='NaiveDataObtainer',
# cache_path=cache_path,
# data_root=data_root,
# files=[
# dict(
# url='https://download.openmmlab.com/mmocr/data/mixture/ct80/'
# 'timage.tar.gz',
# save_name='ct80.tar.gz',
# md5='9f3b1fe0e76f1fdfc70de3a365603d5e',
# split=['test'],
# content=['image'],
# mapping=[['ct80/timage', 'textrecog_imgs/test']]),
# dict(
# url='https://download.openmmlab.com/mmocr/data/mixture/ct80/'
# 'test_label.txt',
# save_name='ct80_test.txt',
# md5='f679dec62916d3268aff9cd81990d260',
# split=['test'],
# content=['annotation'],
# mapping=[['ct80_test.txt', 'annotations/test.txt']])
# ]),
# gatherer=dict(type='MonoGatherer', ann_name='test.txt'),
# parser=dict(
# type='ICDARTxtTextRecogAnnParser',
# separator=' ',
# format='img text ignore1 ignore2'),
# packer=dict(type='TextRecogPacker'),
# dumper=dict(type='JsonDumper'),
# )
delete = ['ct80']
config_generator = dict(
type='TextRecogConfigGenerator', data_root=data_root, train_anns=None)
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