mirror of https://github.com/open-mmlab/mmocr.git
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
_base_ = [
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'../_base_/datasets/icdar2015.py',
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'../_base_/default_runtime.py',
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'../_base_/schedules/schedule_adam_600e.py',
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'_base_panet_resnet18_fpem-ffm.py',
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]
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default_hooks = dict(checkpoint=dict(type='CheckpointHook', interval=20), )
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# dataset settings
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icdar2015_textdet_train = _base_.icdar2015_textdet_train
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icdar2015_textdet_test = _base_.icdar2015_textdet_test
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# pipeline settings
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icdar2015_textdet_train.pipeline = _base_.train_pipeline
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icdar2015_textdet_test.pipeline = _base_.test_pipeline
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train_dataloader = dict(
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batch_size=64,
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num_workers=8,
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persistent_workers=True,
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sampler=dict(type='DefaultSampler', shuffle=True),
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dataset=icdar2015_textdet_train)
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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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sampler=dict(type='DefaultSampler', shuffle=False),
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dataset=icdar2015_textdet_test)
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test_dataloader = val_dataloader
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val_evaluator = dict(
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type='HmeanIOUMetric', pred_score_thrs=dict(start=0.3, stop=1, step=0.05))
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test_evaluator = val_evaluator
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auto_scale_lr = dict(base_batch_size=64)
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