mirror of https://github.com/open-mmlab/mmocr.git
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
# training schedule for 1x
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_base_ = [
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'../_base_/datasets/mjsynth.py',
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'../_base_/datasets/cute80.py',
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'../_base_/datasets/iiit5k.py',
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'../_base_/datasets/svt.py',
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'../_base_/datasets/svtp.py',
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'../_base_/datasets/icdar2013.py',
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'../_base_/datasets/icdar2015.py',
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'../_base_/default_runtime.py',
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'../_base_/schedules/schedule_adadelta_5e.py',
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'_base_crnn_mini-vgg.py',
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]
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# dataset settings
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train_list = [_base_.mjsynth_textrecog_test]
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test_list = [
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_base_.cute80_textrecog_test, _base_.iiit5k_textrecog_test,
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_base_.svt_textrecog_test, _base_.svtp_textrecog_test,
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_base_.icdar2013_textrecog_test, _base_.icdar2015_textrecog_test
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]
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default_hooks = dict(logger=dict(type='LoggerHook', interval=50), )
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train_dataloader = dict(
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batch_size=64,
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num_workers=24,
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persistent_workers=True,
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sampler=dict(type='DefaultSampler', shuffle=True),
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dataset=dict(
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type='ConcatDataset',
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datasets=train_list,
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pipeline=_base_.train_pipeline))
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test_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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drop_last=False,
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sampler=dict(type='DefaultSampler', shuffle=False),
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dataset=dict(
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type='ConcatDataset',
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datasets=test_list,
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pipeline=_base_.test_pipeline))
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val_dataloader = test_dataloader
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val_evaluator = dict(
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dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15'])
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test_evaluator = val_evaluator
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auto_scale_lr = dict(base_batch_size=64 * 4)
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