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24c4def |
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default_scope = 'mmocr'
env_cfg = dict(
cudnn_benchmark=False,
mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
dist_cfg=dict(backend='nccl'),
)
randomness = dict(seed=None)
default_hooks = dict(
timer=dict(type='IterTimerHook'),
logger=dict(type='LoggerHook', interval=100),
param_scheduler=dict(type='ParamSchedulerHook'),
checkpoint=dict(type='CheckpointHook', interval=1),
sampler_seed=dict(type='DistSamplerSeedHook'),
sync_buffer=dict(type='SyncBuffersHook'),
visualization=dict(
type='VisualizationHook',
interval=1,
enable=False,
show=False,
draw_gt=False,
draw_pred=False),
)
# Logging
log_level = 'INFO'
log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True)
load_from = None
resume = False
# Evaluation
val_evaluator = dict(
type='MultiDatasetsEvaluator',
metrics=[
dict(
type='WordMetric',
mode=['exact', 'ignore_case', 'ignore_case_symbol']),
dict(type='CharMetric')
],
dataset_prefixes=None)
test_evaluator = val_evaluator
# Visualization
vis_backends = [dict(type='LocalVisBackend')]
visualizer = dict(
type='TextRecogLocalVisualizer',
name='visualizer',
vis_backends=vis_backends)
tta_model = dict(type='EncoderDecoderRecognizerTTAModel')
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