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_base_ = [
'../../_base_/default_runtime.py',
'../../_base_/schedules/schedule_sgd_1200e.py',
'../../_base_/det_models/textsnake_r50_fpn_unet.py',
'../../_base_/det_datasets/ctw1500.py',
'../../_base_/det_pipelines/textsnake_pipeline.py'
]
train_list = {{_base_.train_list}}
test_list = {{_base_.test_list}}
train_pipeline = {{_base_.train_pipeline}}
test_pipeline = {{_base_.test_pipeline}}
data = dict(
samples_per_gpu=4,
workers_per_gpu=4,
val_dataloader=dict(samples_per_gpu=1),
test_dataloader=dict(samples_per_gpu=1),
train=dict(
type='UniformConcatDataset',
datasets=train_list,
pipeline=train_pipeline),
val=dict(
type='UniformConcatDataset',
datasets=test_list,
pipeline=test_pipeline),
test=dict(
type='UniformConcatDataset',
datasets=test_list,
pipeline=test_pipeline))
evaluation = dict(interval=10, metric='hmean-iou')
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