mirror of https://github.com/open-mmlab/mmocr.git
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
_base_ = [
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'../_base_/datasets/mjsynth.py',
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'../_base_/datasets/synthtext.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_adam_base.py',
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'_base_abinet.py',
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]
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load_from = 'https://download.openmmlab.com/mmocr/textrecog/abinet/abinet_pretrain-45deac15.pth' # noqa
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optim_wrapper = dict(optimizer=dict(lr=1e-4))
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train_cfg = dict(max_epochs=20)
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# learning policy
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param_scheduler = [
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dict(
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type='LinearLR', end=2, start_factor=0.001,
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convert_to_iter_based=True),
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dict(type='MultiStepLR', milestones=[16, 18], end=20),
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]
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# dataset settings
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train_list = [_base_.mj_rec_train, _base_.st_an_rec_train]
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test_list = [
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_base_.cute80_rec_test, _base_.iiit5k_rec_test, _base_.svt_rec_test,
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_base_.svtp_rec_test, _base_.ic13_rec_test, _base_.ic15_rec_test
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]
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train_dataset = dict(
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type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline)
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test_dataset = dict(
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type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline)
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train_dataloader = dict(
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batch_size=192 * 4,
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num_workers=32,
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persistent_workers=True,
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sampler=dict(type='DefaultSampler', shuffle=True),
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dataset=train_dataset)
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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=test_dataset)
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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=192 * 8)
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