mirror of https://github.com/open-mmlab/mmocr.git
35 lines
1011 B
Python
35 lines
1011 B
Python
_base_ = [
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'../../_base_/default_runtime.py',
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'../../_base_/schedules/schedule_adam_step_20e.py',
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'../../_base_/recog_pipelines/abinet_pipeline.py',
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'../../_base_/recog_models/abinet.py',
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'../../_base_/recog_datasets/ST_MJ_alphanumeric_train.py',
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'../../_base_/recog_datasets/academic_test.py'
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]
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train_list = {{_base_.train_list}}
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test_list = {{_base_.test_list}}
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train_pipeline = {{_base_.train_pipeline}}
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test_pipeline = {{_base_.test_pipeline}}
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data = dict(
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samples_per_gpu=192,
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workers_per_gpu=8,
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val_dataloader=dict(samples_per_gpu=1),
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test_dataloader=dict(samples_per_gpu=1),
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train=dict(
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type='UniformConcatDataset',
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datasets=train_list,
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pipeline=train_pipeline),
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val=dict(
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type='UniformConcatDataset',
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datasets=test_list,
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pipeline=test_pipeline),
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test=dict(
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type='UniformConcatDataset',
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datasets=test_list,
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pipeline=test_pipeline))
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evaluation = dict(interval=1, metric='acc')
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