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MMOCR
File size: 1,002 Bytes 
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_base_ = [
    '../../_base_/runtime_10e.py',
    '../../_base_/schedules/schedule_sgd_1500e.py',
    '../../_base_/det_models/fcenet_r50dcnv2_fpn.py',
    '../../_base_/det_datasets/ctw1500.py',
    '../../_base_/det_pipelines/fcenet_pipeline.py'
]

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

train_pipeline_ctw1500 = {{_base_.train_pipeline_ctw1500}}
test_pipeline_ctw1500 = {{_base_.test_pipeline_ctw1500}}

data = dict(
    samples_per_gpu=6,
    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_ctw1500),
    val=dict(
        type='UniformConcatDataset',
        datasets=test_list,
        pipeline=test_pipeline_ctw1500),
    test=dict(
        type='UniformConcatDataset',
        datasets=test_list,
        pipeline=test_pipeline_ctw1500))

evaluation = dict(interval=10, metric='hmean-iou')