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5670695338
* [Feature] Add RepeatAugSampler * initial commit * spts inference done * merge repeat_aug (bug in multi-node?) * fix inference * train done * rm readme * Revert "merge repeat_aug (bug in multi-node?)" This reverts commit 393506a97cbe6d75ad1f28611ea10eba6b8fa4b3. * Revert "[Feature] Add RepeatAugSampler" This reverts commit 2089b02b4844157670033766f257b5d1bca452ce. * remove utils * readme & conversion script * update readme * fix * optimize * rename cfg & del compose * fix * fix * tmp commit * update training setting * update cfg * update readme * e2e metric * update cfg * fix * update readme * fix * update
43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
default_scope = 'mmocr'
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env_cfg = dict(
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cudnn_benchmark=False,
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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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randomness = dict(seed=42)
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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, max_keep_ckpts=2),
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sampler_seed=dict(type='DistSamplerSeedHook'),
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sync_buffer=dict(type='SyncBuffersHook'),
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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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# Logging
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log_level = 'INFO'
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log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True)
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load_from = None
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resume = False
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# Evaluation
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val_evaluator = dict(type='E2EPointMetric')
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test_evaluator = val_evaluator
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# Visualization
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vis_backends = [dict(type='LocalVisBackend')]
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visualizer = dict(
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type='TextSpottingLocalVisualizer',
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name='visualizer',
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vis_backends=vis_backends)
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