configs/textdet/dbnet/dbnet_r18_fpnc_1200e_icdar2015.py

_base_ = [
    '../../_base_/runtime_10e.py',
    '../../_base_/schedules/schedule_sgd_1200e.py',
    '../../_base_/det_models/dbnet_r18_fpnc.py',
    '../../_base_/det_datasets/icdar2015.py',
    '../../_base_/det_pipelines/dbnet_pipeline.py'
]

train_list = {{_base_.train_list}}
test_list = {{_base_.test_list}}

train_pipeline_r18 = {{_base_.train_pipeline_r18}}
test_pipeline_1333_736 = {{_base_.test_pipeline_1333_736}}

data = dict(
    samples_per_gpu=16,
    workers_per_gpu=8,
    val_dataloader=dict(samples_per_gpu=1),
    test_dataloader=dict(samples_per_gpu=1),
    train=dict(
        type='UniformConcatDataset',
        datasets=train_list,
        pipeline=train_pipeline_r18),
    val=dict(
        type='UniformConcatDataset',
        datasets=test_list,
        pipeline=test_pipeline_1333_736),
    test=dict(
        type='UniformConcatDataset',
        datasets=test_list,
        pipeline=test_pipeline_1333_736))

evaluation = dict(interval=100, metric='hmean-iou')