mirror of
https://github.com/open-mmlab/mmocr.git
synced 2025-06-03 21:54:47 +08:00
[Config] Update MASTER config (#1301)
* [Config] Add textrec_default_runtime * add vis hook * update master config * update metafile * update Co-authored-by: gaotongxiao <gaotongxiao@gmail.com>
This commit is contained in:
parent
8d0c6a013a
commit
7aea3619ca
@ -1,3 +1,5 @@
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file_client_args = dict(backend='disk')
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dictionary = dict(
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dictionary = dict(
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type='Dictionary',
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type='Dictionary',
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dict_file='dicts/english_digits_symbols.txt',
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dict_file='dicts/english_digits_symbols.txt',
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@ -71,3 +73,39 @@ model = dict(
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type='TextRecogDataPreprocessor',
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type='TextRecogDataPreprocessor',
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mean=[127.5, 127.5, 127.5],
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mean=[127.5, 127.5, 127.5],
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std=[127.5, 127.5, 127.5]))
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std=[127.5, 127.5, 127.5]))
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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(
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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=16),
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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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]
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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=16),
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dict(type='PadToWidth', width=160),
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# add loading annotation after ``Resize`` because ground truth
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# does not need to do resize data transform
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dict(type='LoadOCRAnnotations', with_text=True),
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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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@ -1,91 +0,0 @@
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_base_ = [
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'../../_base_/recog_datasets/mjsynth.py',
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'../../_base_/recog_datasets/synthtext.py',
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'../../_base_/recog_datasets/synthtext_add.py',
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'../../_base_/recog_datasets/cute80.py',
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'../../_base_/recog_datasets/iiit5k.py',
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'../../_base_/recog_datasets/svt.py',
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'../../_base_/recog_datasets/svtp.py',
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'../../_base_/recog_datasets/icdar2013.py',
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'../../_base_/recog_datasets/icdar2015.py',
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'../../_base_/default_runtime.py',
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'../../_base_/schedules/schedule_adam_step_12e.py',
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'master.py',
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]
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# dataset settings
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train_list = [
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_base_.mj_rec_train, _base_.st_rec_train, _base_.st_add_rec_train
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]
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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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file_client_args = dict(backend='disk')
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default_hooks = dict(logger=dict(type='LoggerHook', interval=50), )
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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(
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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=16),
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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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]
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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=16),
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dict(type='PadToWidth', width=160),
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# add loading annotation after ``Resize`` because ground truth
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# does not need to do resize data transform
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dict(type='LoadOCRAnnotations', with_text=True),
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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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train_dataloader = dict(
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batch_size=512,
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num_workers=4,
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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', datasets=train_list, pipeline=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', datasets=test_list, pipeline=test_pipeline))
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val_dataloader = test_dataloader
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val_evaluator = dict(
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type='MultiDatasetsEvaluator',
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metrics=[
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dict(
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type='WordMetric',
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mode=['exact', 'ignore_case', 'ignore_case_symbol']),
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dict(type='CharMetric')
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],
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dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15'])
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test_evaluator = val_evaluator
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visualizer = dict(type='TextRecogLocalVisualizer', name='visualizer')
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45
configs/textrecog/master/master_resnet31_12e_st_mj_sa.py
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45
configs/textrecog/master/master_resnet31_12e_st_mj_sa.py
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@ -0,0 +1,45 @@
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_base_ = [
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'../../_base_/recog_datasets/mjsynth.py',
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'../../_base_/recog_datasets/synthtext.py',
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'../../_base_/recog_datasets/synthtext_add.py',
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'../../_base_/recog_datasets/cute80.py',
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'../../_base_/recog_datasets/iiit5k.py',
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'../../_base_/recog_datasets/svt.py',
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'../../_base_/recog_datasets/svtp.py',
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'../../_base_/recog_datasets/icdar2013.py',
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'../../_base_/recog_datasets/icdar2015.py',
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'../../_base_/textrec_default_runtime.py',
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'../../_base_/schedules/schedule_adam_step_12e.py',
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'_base_master_resnet31.py',
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]
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# dataset settings
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train_list = [
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_base_.mj_rec_train, _base_.st_rec_train, _base_.st_add_rec_train
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]
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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=512,
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num_workers=4,
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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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41
configs/textrecog/master/master_resnet31_12e_toy.py
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41
configs/textrecog/master/master_resnet31_12e_toy.py
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_base_ = [
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'_base_master_resnet31.py',
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'../../_base_/recog_datasets/toy_data.py',
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'../../_base_/textrec_default_runtime.py',
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'../../_base_/schedules/schedule_adam_step_12e.py',
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]
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# dataset settings
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train_list = {{_base_.train_list}}
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test_list = {{_base_.test_list}}
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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=2,
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num_workers=1,
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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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val_dataloader = dict(
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batch_size=2,
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num_workers=1,
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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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test_dataloader = val_dataloader
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val_evaluator = [
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dict(
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type='WordMetric', mode=['exact', 'ignore_case',
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'ignore_case_symbol']),
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dict(type='CharMetric')
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]
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test_evaluator = val_evaluator
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@ -1,71 +0,0 @@
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_base_ = [
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'master.py',
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'../../_base_/recog_datasets/toy_data.py',
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'../../_base_/default_runtime.py',
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'../../_base_/schedules/schedule_adam_step_12e.py',
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]
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# dataset settings
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train_list = {{_base_.train_list}}
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test_list = {{_base_.test_list}}
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file_client_args = dict(backend='disk')
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default_hooks = dict(logger=dict(type='LoggerHook', interval=50), )
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train_pipeline = [
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dict(type='LoadImageFromFile', file_client_args=file_client_args),
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dict(type='LoadOCRAnnotations', with_text=True),
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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=16),
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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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]
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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=16),
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dict(type='PadToWidth', width=160),
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# add loading annotation after ``Resize`` because ground truth
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# does not need to do resize data transform
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dict(type='LoadOCRAnnotations', with_text=True),
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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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train_dataloader = dict(
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batch_size=2,
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num_workers=1,
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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', datasets=train_list, pipeline=train_pipeline))
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val_dataloader = dict(
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batch_size=2,
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num_workers=1,
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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', datasets=test_list, pipeline=test_pipeline))
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test_dataloader = val_dataloader
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val_evaluator = [
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dict(
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type='WordMetric', mode=['exact', 'ignore_case',
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'ignore_case_symbol']),
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dict(type='CharMetric')
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]
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test_evaluator = val_evaluator
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visualizer = dict(type='TextRecogLocalVisualizer', name='visualizer')
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@ -16,9 +16,9 @@ Collections:
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README: configs/textrecog/master/README.md
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README: configs/textrecog/master/README.md
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Models:
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Models:
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- Name: master_r31_12e_ST_MJ_SA
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- Name: master_resnet31_12e_st_mj_sa
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In Collection: MASTER
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In Collection: MASTER
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Config: configs/textrecog/master/master_r31_12e_ST_MJ_SA.py
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Config: configs/textrecog/master/master_resnet31_12e_st_mj_sa.py
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Metadata:
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Metadata:
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Training Data:
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Training Data:
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- SynthText
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- SynthText
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@ -49,4 +49,4 @@ Models:
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Dataset: CT80
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Dataset: CT80
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Metrics:
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Metrics:
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word_acc: 88.54
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word_acc: 88.54
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Weights: https://download.openmmlab.com/mmocr/textrecog/master/master_r31_12e_ST_MJ_SA-787edd36.pth
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Weights: https://download.openmmlab.com/mmocr/textrecog/master/master_resnet31_12e_st_mj_sa-787edd36.pth
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