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_base_ = [
'../../_base_/default_runtime.py',
'../../_base_/schedules/schedule_adam_600e.py',
'../../_base_/det_models/panet_r18_fpem_ffm.py',
'../../_base_/det_datasets/icdar2015.py',
'../../_base_/det_pipelines/panet_pipeline.py'
]
model = {{_base_.model_quad}}
train_list = {{_base_.train_list}}
test_list = {{_base_.test_list}}
train_pipeline_icdar2015 = {{_base_.train_pipeline_icdar2015}}
test_pipeline_icdar2015 = {{_base_.test_pipeline_icdar2015}}
data = dict(
samples_per_gpu=8,
workers_per_gpu=2,
val_dataloader=dict(samples_per_gpu=1),
test_dataloader=dict(samples_per_gpu=1),
train=dict(
type='UniformConcatDataset',
datasets=train_list,
pipeline=train_pipeline_icdar2015),
val=dict(
type='UniformConcatDataset',
datasets=test_list,
pipeline=test_pipeline_icdar2015),
test=dict(
type='UniformConcatDataset',
datasets=test_list,
pipeline=test_pipeline_icdar2015))
evaluation = dict(interval=10, metric='hmean-iou')
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