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| _base_ = [ | |
| '../_base_/datasets/mjsynth.py', | |
| '../_base_/datasets/synthtext.py', | |
| '../_base_/datasets/cute80.py', | |
| '../_base_/datasets/iiit5k.py', | |
| '../_base_/datasets/svt.py', | |
| '../_base_/datasets/svtp.py', | |
| '../_base_/datasets/icdar2013.py', | |
| '../_base_/datasets/icdar2015.py', | |
| '../_base_/default_runtime.py', | |
| '../_base_/schedules/schedule_adam_step_5e.py', | |
| '_base_satrn_shallow.py', | |
| ] | |
| train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=20, val_interval=1) | |
| # dataset settings | |
| train_list = [_base_.mjsynth_textrecog_train, _base_.synthtext_textrecog_train] | |
| test_list = [ | |
| _base_.cute80_textrecog_test, _base_.iiit5k_textrecog_test, | |
| _base_.svt_textrecog_test, _base_.svtp_textrecog_test, | |
| _base_.icdar2013_textrecog_test, _base_.icdar2015_textrecog_test | |
| ] | |
| train_dataset = dict( | |
| type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline) | |
| test_dataset = dict( | |
| type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline) | |
| # optimizer | |
| optim_wrapper = dict(type='OptimWrapper', optimizer=dict(type='Adam', lr=3e-4)) | |
| train_dataloader = dict( | |
| batch_size=128, | |
| num_workers=24, | |
| persistent_workers=True, | |
| sampler=dict(type='DefaultSampler', shuffle=True), | |
| dataset=train_dataset) | |
| test_dataloader = dict( | |
| batch_size=1, | |
| num_workers=4, | |
| persistent_workers=True, | |
| drop_last=False, | |
| sampler=dict(type='DefaultSampler', shuffle=False), | |
| dataset=test_dataset) | |
| val_dataloader = test_dataloader | |
| val_evaluator = dict( | |
| dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15']) | |
| test_evaluator = val_evaluator | |
| auto_scale_lr = dict(base_batch_size=64 * 8) | |