File size: 1,024 Bytes
a92ae91 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
_base_ = [
'../../_base_/default_runtime.py',
'../../_base_/schedules/schedule_adam_step_600e.py',
'../../_base_/det_models/psenet_r50_fpnf.py',
'../../_base_/det_datasets/icdar2015.py',
'../../_base_/det_pipelines/psenet_pipeline.py'
]
model = {{_base_.model_quad}}
train_list = {{_base_.train_list}}
test_list = {{_base_.test_list}}
train_pipeline = {{_base_.train_pipeline}}
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),
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')
|