Spaces:
Sleeping
Sleeping
File size: 2,954 Bytes
24c4def |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
# This configuration prepares the ICDAR15 1811 and 2077
# version, and uses ICDAR15 2077 version by default.
# Read https://arxiv.org/pdf/1904.01906.pdf for more info.
data_root = 'data/icdar2015'
cache_path = 'data/cache'
train_preparer = dict(
obtainer=dict(
type='NaiveDataObtainer',
cache_path=cache_path,
files=[
dict(
url='https://rrc.cvc.uab.es/downloads/'
'ch4_training_word_images_gt.zip',
save_name='ic15_textrecog_train_img_gt.zip',
md5='600caf8c6a64a3dcf638839820edcca9',
content=['image', 'annotation'],
mapping=[[
'ic15_textrecog_train_img_gt/gt.txt',
'annotations/train.txt'
], ['ic15_textrecog_train_img_gt', 'textrecog_imgs/train']]),
]),
gatherer=dict(type='MonoGatherer', ann_name='train.txt'),
parser=dict(type='ICDARTxtTextRecogAnnParser', encoding='utf-8-sig'),
packer=dict(type='TextRecogPacker'),
dumper=dict(type='JsonDumper'))
test_preparer = dict(
obtainer=dict(
type='NaiveDataObtainer',
cache_path=cache_path,
files=[
dict(
url='https://rrc.cvc.uab.es/downloads/'
'ch4_test_word_images_gt.zip',
save_name='ic15_textrecog_test_img.zip',
md5='d7a71585f4cc69f89edbe534e7706d5d',
content=['image'],
mapping=[['ic15_textrecog_test_img', 'textrecog_imgs/test']]),
dict(
url='https://rrc.cvc.uab.es/downloads/'
'Challenge4_Test_Task3_GT.txt',
save_name='ic15_textrecog_test_gt.txt',
md5='d7a71585f4cc69f89edbe534e7706d5d',
content=['annotation'],
mapping=[[
'ic15_textrecog_test_gt.txt', 'annotations/test.txt'
]]),
# 3. The 1811 version discards non-alphanumeric character images
# and some extremely rotated, perspective-shifted, and curved
# images for evaluation
dict(
url='https://download.openmmlab.com/mmocr/data/1.x/recog/'
'icdar_2015/textrecog_test_1811.json',
save_name='textrecog_test_1811.json',
md5='8d218ef1c37540ea959e22eeabc79ae4',
content=['annotation'],
),
]),
gatherer=dict(type='MonoGatherer', ann_name='test.txt'),
parser=dict(type='ICDARTxtTextRecogAnnParser', encoding='utf-8-sig'),
packer=dict(type='TextRecogPacker'),
dumper=dict(type='JsonDumper'))
delete = [
'annotations', 'ic15_textrecog_train_img_gt', 'ic15_textrecog_test_img'
]
config_generator = dict(
type='TextRecogConfigGenerator',
test_anns=[
dict(ann_file='textrecog_test.json'),
dict(dataset_postfix='1811', ann_file='textrecog_test_1811.json')
])
|