mirror of https://github.com/open-mmlab/mmocr.git
31 lines
848 B
Python
31 lines
848 B
Python
_base_ = [
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'_base_textsnake_resnet50_fpn-unet.py',
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'../_base_/datasets/ctw1500.py',
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'../_base_/default_runtime.py',
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'../_base_/schedules/schedule_sgd_1200e.py',
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]
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# dataset settings
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ctw1500_textdet_train = _base_.ctw1500_textdet_train
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ctw1500_textdet_train.pipeline = _base_.train_pipeline
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ctw1500_textdet_test = _base_.ctw1500_textdet_test
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ctw1500_textdet_test.pipeline = _base_.test_pipeline
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train_dataloader = dict(
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batch_size=4,
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num_workers=4,
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persistent_workers=True,
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sampler=dict(type='DefaultSampler', shuffle=True),
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dataset=ctw1500_textdet_train)
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val_dataloader = dict(
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batch_size=1,
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num_workers=1,
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persistent_workers=True,
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sampler=dict(type='DefaultSampler', shuffle=False),
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dataset=ctw1500_textdet_test)
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test_dataloader = val_dataloader
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auto_scale_lr = dict(base_batch_size=4)
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