mirror of https://github.com/open-mmlab/mmocr.git
84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
_base_ = [
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'robust_scanner.py', '../../_base_/recog_datasets/ST_SA_MJ_real_train.py',
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'../../_base_/recog_datasets/academic_test.py',
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'../../_base_/default_runtime.py',
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'../../_base_/schedules/schedule_adam_step_5e.py'
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]
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file_client_args = dict(backend='disk')
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default_hooks = dict(logger=dict(type='LoggerHook', interval=100))
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train_pipeline = [
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dict(
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type='LoadImageFromFile',
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file_client_args=file_client_args,
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ignore_empty=True,
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min_size=5),
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dict(type='LoadOCRAnnotations', with_text=True),
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dict(type='Resize', scale=(160, 48), keep_ratio=False),
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dict(
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type='PackTextRecogInputs',
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meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
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]
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test_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=file_client_args),
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dict(
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type='RescaleToHeight',
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height=48,
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min_width=48,
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max_width=160,
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width_divisor=4),
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dict(type='PadToWidth', width=160),
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dict(
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type='PackTextRecogInputs',
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meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio',
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'instances'))
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]
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# dataset settings
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ic11_rec_train = _base_.ic11_rec_train
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ic13_rec_train = _base_.ic13_rec_train
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ic15_rec_train = _base_.ic15_rec_train
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cocov1_rec_train = _base_.cocov1_rec_train
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iiit5k_rec_train = _base_.iiit5k_rec_train
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st_add_rec_train = _base_.st_add_rec_train
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st_rec_train = _base_.st_rec_train
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mj_rec_trian = _base_.mj_rec_trian
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ic11_rec_train.pipeline = test_pipeline
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ic13_rec_train.pipeline = test_pipeline
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ic15_rec_train.pipeline = test_pipeline
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cocov1_rec_train.pipeline = test_pipeline
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iiit5k_rec_train.pipeline = test_pipeline
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st_add_rec_train.pipeline = test_pipeline
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st_rec_train.pipeline = test_pipeline
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mj_rec_trian.pipeline = test_pipeline
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repeat_ic11 = dict(type='RepeatDataset', dataset=ic11_rec_train, times=20)
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repeat_ic13 = dict(type='RepeatDataset', dataset=ic13_rec_train, times=20)
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repeat_ic15 = dict(type='RepeatDataset', dataset=ic15_rec_train, times=20)
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repeat_cocov1 = dict(type='RepeatDataset', dataset=cocov1_rec_train, times=20)
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repeat_iiit5k = dict(type='RepeatDataset', dataset=iiit5k_rec_train, times=20)
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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=dict(
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type='ConcatDataset',
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datasets=[
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repeat_ic11, repeat_ic13, repeat_ic15, repeat_cocov1,
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repeat_iiit5k, st_add_rec_train, st_rec_train, mj_rec_trian
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]))
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test_cfg = dict(type='MultiTestLoop')
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val_cfg = dict(type='MultiValLoop')
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val_dataloader = _base_.val_dataloader
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test_dataloader = _base_.test_dataloader
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for dataloader in test_dataloader:
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dataloader['dataset']['pipeline'] = test_pipeline
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for dataloader in val_dataloader:
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dataloader['dataset']['pipeline'] = test_pipeline
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visualizer = dict(type='TextRecogLocalVisualizer', name='visualizer')
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