mirror of
https://github.com/open-mmlab/mmocr.git
synced 2025-06-03 21:54:47 +08:00
40 lines
1.0 KiB
Python
40 lines
1.0 KiB
Python
default_scope = 'mmocr'
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default_hooks = dict(
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timer=dict(type='IterTimerHook'),
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logger=dict(type='LoggerHook', interval=100),
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param_scheduler=dict(type='ParamSchedulerHook'),
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checkpoint=dict(type='CheckpointHook', interval=1),
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sampler_seed=dict(type='DistSamplerSeedHook'),
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visualization=dict(
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type='VisualizationHook',
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interval=1,
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enable=False,
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show=False,
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draw_gt=False,
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draw_pred=False),
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)
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env_cfg = dict(
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cudnn_benchmark=True,
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mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
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dist_cfg=dict(backend='nccl'),
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)
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log_level = 'INFO'
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load_from = None
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resume = False
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val_evaluator = dict(
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type='MultiDatasetsEvaluator',
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metrics=[
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dict(
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type='WordMetric',
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mode=['exact', 'ignore_case', 'ignore_case_symbol']),
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dict(type='CharMetric')
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],
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dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15'])
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test_evaluator = val_evaluator
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visualizer = dict(type='TextRecogLocalVisualizer', name='visualizer')
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