_base_ = [ '_base_svtr-tiny.py', '../_base_/default_runtime.py', '../_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_/schedules/schedule_adam_base.py', ] train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=20, val_interval=1) optim_wrapper = dict( type='OptimWrapper', optimizer=dict( type='AdamW', lr=5 / (10**4) * 2048 / 2048, betas=(0.9, 0.99), eps=8e-8, weight_decay=0.05)) param_scheduler = [ dict( type='LinearLR', start_factor=0.5, end_factor=1., end=2, verbose=False, convert_to_iter_based=True), dict( type='CosineAnnealingLR', T_max=19, begin=2, end=20, verbose=False, convert_to_iter_based=True), ] # 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 ] val_evaluator = dict( dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15']) test_evaluator = val_evaluator train_dataloader = dict( batch_size=512, num_workers=24, persistent_workers=True, pin_memory=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline)) val_dataloader = dict( batch_size=128, num_workers=8, persistent_workers=True, pin_memory=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline)) test_dataloader = val_dataloader