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