mirror of https://github.com/open-mmlab/mmocr.git
42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
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_base_ = [
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'../../_base_/recog_datasets/toy_data.py',
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'../../_base_/textrec_default_runtime.py',
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'../../_base_/schedules/schedule_adam_step_6e.py',
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'_base_nrtr_modality-transform.py',
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]
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# dataset settings
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train_list = {{_base_.train_list}}
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test_list = {{_base_.test_list}}
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train_dataset = dict(
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type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline)
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test_dataset = dict(
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type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline)
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train_dataloader = dict(
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batch_size=8,
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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=train_dataset)
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val_dataloader = dict(
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batch_size=1,
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num_workers=4,
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persistent_workers=True,
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drop_last=False,
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sampler=dict(type='DefaultSampler', shuffle=False),
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dataset=test_dataset)
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test_dataloader = val_dataloader
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val_evaluator = [
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dict(
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type='WordMetric', mode=['exact', 'ignore_case',
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'ignore_case_symbol']),
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dict(type='CharMetric')
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]
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test_evaluator = val_evaluator
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