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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) | |