[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:
Xinyu Wang 2022-08-22 14:30:44 +08:00 committed by GitHub
parent 8d0c6a013a
commit 7aea3619ca
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6 changed files with 127 additions and 165 deletions

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@ -1,3 +1,5 @@
file_client_args = dict(backend='disk')
dictionary = dict(
type='Dictionary',
dict_file='dicts/english_digits_symbols.txt',
@ -71,3 +73,39 @@ model = dict(
type='TextRecogDataPreprocessor',
mean=[127.5, 127.5, 127.5],
std=[127.5, 127.5, 127.5]))
train_pipeline = [
dict(
type='LoadImageFromFile',
file_client_args=file_client_args,
ignore_empty=True,
min_size=5),
dict(type='LoadOCRAnnotations', with_text=True),
dict(
type='RescaleToHeight',
height=48,
min_width=48,
max_width=160,
width_divisor=16),
dict(type='PadToWidth', width=160),
dict(
type='PackTextRecogInputs',
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
]
test_pipeline = [
dict(type='LoadImageFromFile', file_client_args=file_client_args),
dict(
type='RescaleToHeight',
height=48,
min_width=48,
max_width=160,
width_divisor=16),
dict(type='PadToWidth', width=160),
# add loading annotation after ``Resize`` because ground truth
# does not need to do resize data transform
dict(type='LoadOCRAnnotations', with_text=True),
dict(
type='PackTextRecogInputs',
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
]

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@ -1,91 +0,0 @@
_base_ = [
'../../_base_/recog_datasets/mjsynth.py',
'../../_base_/recog_datasets/synthtext.py',
'../../_base_/recog_datasets/synthtext_add.py',
'../../_base_/recog_datasets/cute80.py',
'../../_base_/recog_datasets/iiit5k.py',
'../../_base_/recog_datasets/svt.py',
'../../_base_/recog_datasets/svtp.py',
'../../_base_/recog_datasets/icdar2013.py',
'../../_base_/recog_datasets/icdar2015.py',
'../../_base_/default_runtime.py',
'../../_base_/schedules/schedule_adam_step_12e.py',
'master.py',
]
# dataset settings
train_list = [
_base_.mj_rec_train, _base_.st_rec_train, _base_.st_add_rec_train
]
test_list = [
_base_.cute80_rec_test, _base_.iiit5k_rec_test, _base_.svt_rec_test,
_base_.svtp_rec_test, _base_.ic13_rec_test, _base_.ic15_rec_test
]
file_client_args = dict(backend='disk')
default_hooks = dict(logger=dict(type='LoggerHook', interval=50), )
train_pipeline = [
dict(
type='LoadImageFromFile',
file_client_args=file_client_args,
ignore_empty=True,
min_size=5),
dict(type='LoadOCRAnnotations', with_text=True),
dict(
type='RescaleToHeight',
height=48,
min_width=48,
max_width=160,
width_divisor=16),
dict(type='PadToWidth', width=160),
dict(
type='PackTextRecogInputs',
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
]
test_pipeline = [
dict(type='LoadImageFromFile', file_client_args=file_client_args),
dict(
type='RescaleToHeight',
height=48,
min_width=48,
max_width=160,
width_divisor=16),
dict(type='PadToWidth', width=160),
# add loading annotation after ``Resize`` because ground truth
# does not need to do resize data transform
dict(type='LoadOCRAnnotations', with_text=True),
dict(
type='PackTextRecogInputs',
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
]
train_dataloader = dict(
batch_size=512,
num_workers=4,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=True),
dataset=dict(
type='ConcatDataset', datasets=train_list, pipeline=train_pipeline))
test_dataloader = dict(
batch_size=1,
num_workers=4,
persistent_workers=True,
drop_last=False,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type='ConcatDataset', datasets=test_list, pipeline=test_pipeline))
val_dataloader = test_dataloader
val_evaluator = dict(
type='MultiDatasetsEvaluator',
metrics=[
dict(
type='WordMetric',
mode=['exact', 'ignore_case', 'ignore_case_symbol']),
dict(type='CharMetric')
],
dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15'])
test_evaluator = val_evaluator
visualizer = dict(type='TextRecogLocalVisualizer', name='visualizer')

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@ -0,0 +1,45 @@
_base_ = [
'../../_base_/recog_datasets/mjsynth.py',
'../../_base_/recog_datasets/synthtext.py',
'../../_base_/recog_datasets/synthtext_add.py',
'../../_base_/recog_datasets/cute80.py',
'../../_base_/recog_datasets/iiit5k.py',
'../../_base_/recog_datasets/svt.py',
'../../_base_/recog_datasets/svtp.py',
'../../_base_/recog_datasets/icdar2013.py',
'../../_base_/recog_datasets/icdar2015.py',
'../../_base_/textrec_default_runtime.py',
'../../_base_/schedules/schedule_adam_step_12e.py',
'_base_master_resnet31.py',
]
# dataset settings
train_list = [
_base_.mj_rec_train, _base_.st_rec_train, _base_.st_add_rec_train
]
test_list = [
_base_.cute80_rec_test, _base_.iiit5k_rec_test, _base_.svt_rec_test,
_base_.svtp_rec_test, _base_.ic13_rec_test, _base_.ic15_rec_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)
train_dataloader = dict(
batch_size=512,
num_workers=4,
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

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@ -0,0 +1,41 @@
_base_ = [
'_base_master_resnet31.py',
'../../_base_/recog_datasets/toy_data.py',
'../../_base_/textrec_default_runtime.py',
'../../_base_/schedules/schedule_adam_step_12e.py',
]
# dataset settings
train_list = {{_base_.train_list}}
test_list = {{_base_.test_list}}
train_dataset = dict(
type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline)
test_dataset = dict(
type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline)
train_dataloader = dict(
batch_size=2,
num_workers=1,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=True),
dataset=train_dataset)
val_dataloader = dict(
batch_size=2,
num_workers=1,
persistent_workers=True,
drop_last=False,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=test_dataset)
test_dataloader = val_dataloader
val_evaluator = [
dict(
type='WordMetric', mode=['exact', 'ignore_case',
'ignore_case_symbol']),
dict(type='CharMetric')
]
test_evaluator = val_evaluator

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@ -1,71 +0,0 @@
_base_ = [
'master.py',
'../../_base_/recog_datasets/toy_data.py',
'../../_base_/default_runtime.py',
'../../_base_/schedules/schedule_adam_step_12e.py',
]
# dataset settings
train_list = {{_base_.train_list}}
test_list = {{_base_.test_list}}
file_client_args = dict(backend='disk')
default_hooks = dict(logger=dict(type='LoggerHook', interval=50), )
train_pipeline = [
dict(type='LoadImageFromFile', file_client_args=file_client_args),
dict(type='LoadOCRAnnotations', with_text=True),
dict(
type='RescaleToHeight',
height=48,
min_width=48,
max_width=160,
width_divisor=16),
dict(type='PadToWidth', width=160),
dict(
type='PackTextRecogInputs',
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
]
test_pipeline = [
dict(type='LoadImageFromFile', file_client_args=file_client_args),
dict(
type='RescaleToHeight',
height=48,
min_width=48,
max_width=160,
width_divisor=16),
dict(type='PadToWidth', width=160),
# add loading annotation after ``Resize`` because ground truth
# does not need to do resize data transform
dict(type='LoadOCRAnnotations', with_text=True),
dict(
type='PackTextRecogInputs',
meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio'))
]
train_dataloader = dict(
batch_size=2,
num_workers=1,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=True),
dataset=dict(
type='ConcatDataset', datasets=train_list, pipeline=train_pipeline))
val_dataloader = dict(
batch_size=2,
num_workers=1,
persistent_workers=True,
drop_last=False,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type='ConcatDataset', datasets=test_list, pipeline=test_pipeline))
test_dataloader = val_dataloader
val_evaluator = [
dict(
type='WordMetric', mode=['exact', 'ignore_case',
'ignore_case_symbol']),
dict(type='CharMetric')
]
test_evaluator = val_evaluator
visualizer = dict(type='TextRecogLocalVisualizer', name='visualizer')

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@ -16,9 +16,9 @@ Collections:
README: configs/textrecog/master/README.md
Models:
- Name: master_r31_12e_ST_MJ_SA
- Name: master_resnet31_12e_st_mj_sa
In Collection: MASTER
Config: configs/textrecog/master/master_r31_12e_ST_MJ_SA.py
Config: configs/textrecog/master/master_resnet31_12e_st_mj_sa.py
Metadata:
Training Data:
- SynthText
@ -49,4 +49,4 @@ Models:
Dataset: CT80
Metrics:
word_acc: 88.54
Weights: https://download.openmmlab.com/mmocr/textrecog/master/master_r31_12e_ST_MJ_SA-787edd36.pth
Weights: https://download.openmmlab.com/mmocr/textrecog/master/master_resnet31_12e_st_mj_sa-787edd36.pth