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_base_ = [
'_base_dbnetpp_resnet50-dcnv2_fpnc.py',
'../_base_/default_runtime.py',
'../_base_/datasets/icdar2015.py',
'../_base_/schedules/schedule_sgd_1200e.py',
]
load_from = 'https://download.openmmlab.com/mmocr/textdet/dbnetpp/tmp_1.0_pretrain/dbnetpp_r50dcnv2_fpnc_100k_iter_synthtext-20220502-352fec8a.pth' # noqa
# dataset settings
train_list = [_base_.icdar2015_textdet_train]
test_list = [_base_.icdar2015_textdet_test]
train_dataloader = dict(
batch_size=16,
num_workers=8,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=True),
dataset=dict(
type='ConcatDataset',
datasets=train_list,
pipeline=_base_.train_pipeline))
val_dataloader = dict(
batch_size=16,
num_workers=8,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type='ConcatDataset',
datasets=test_list,
pipeline=_base_.test_pipeline))
test_dataloader = val_dataloader
auto_scale_lr = dict(base_batch_size=16)
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