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_base_ = [ | |
'../_base_/datasets/mjsynth.py', | |
'../_base_/datasets/synthtext.py', | |
'../_base_/datasets/cute80.py', | |
'../_base_/datasets/iiit5k.py', | |
'../_base_/datasets/svt.py', | |
'../_base_/datasets/svtp.py', | |
'../_base_/datasets/icdar2013.py', | |
'../_base_/datasets/icdar2015.py', | |
'../_base_/default_runtime.py', | |
'../_base_/schedules/schedule_adam_base.py', | |
'_base_abinet.py', | |
] | |
load_from = 'https://download.openmmlab.com/mmocr/textrecog/abinet/abinet_pretrain-45deac15.pth' # noqa | |
optim_wrapper = dict(optimizer=dict(lr=1e-4)) | |
train_cfg = dict(max_epochs=20) | |
# learning policy | |
param_scheduler = [ | |
dict( | |
type='LinearLR', end=2, start_factor=0.001, | |
convert_to_iter_based=True), | |
dict(type='MultiStepLR', milestones=[16, 18], end=20), | |
] | |
# dataset settings | |
train_list = [ | |
_base_.mjsynth_textrecog_train, _base_.synthtext_an_textrecog_train | |
] | |
test_list = [ | |
_base_.cute80_textrecog_test, _base_.iiit5k_textrecog_test, | |
_base_.svt_textrecog_test, _base_.svtp_textrecog_test, | |
_base_.icdar2013_textrecog_test, _base_.icdar2015_textrecog_test | |
] | |
train_dataset = dict( | |
type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline) | |
test_dataset = dict( | |
type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline) | |
train_dataloader = dict( | |
batch_size=192, | |
num_workers=32, | |
persistent_workers=True, | |
sampler=dict(type='DefaultSampler', shuffle=True), | |
dataset=train_dataset) | |
test_dataloader = dict( | |
batch_size=1, | |
num_workers=4, | |
persistent_workers=True, | |
drop_last=False, | |
sampler=dict(type='DefaultSampler', shuffle=False), | |
dataset=test_dataset) | |
val_dataloader = test_dataloader | |
val_evaluator = dict( | |
dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15']) | |
test_evaluator = val_evaluator | |
auto_scale_lr = dict(base_batch_size=192 * 8) | |