mirror of https://github.com/open-mmlab/mmocr.git
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
_base_ = [
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'dbnetpp_r50dcnv2_fpnc.py', '../../_base_/default_runtime.py',
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'../../_base_/schedules/schedule_sgd_1200e.py',
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'../../_base_/det_datasets/icdar2015.py',
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'../../_base_/det_pipelines/dbnet_pipeline.py'
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]
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train_list = {{_base_.train_list}}
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test_list = {{_base_.test_list}}
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train_pipeline_r50dcnv2 = {{_base_.train_pipeline_r50dcnv2}}
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test_pipeline_4068_1024 = {{_base_.test_pipeline_4068_1024}}
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load_from = 'checkpoints/textdet/dbnetpp/res50dcnv2_synthtext.pth'
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data = dict(
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samples_per_gpu=32,
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workers_per_gpu=8,
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val_dataloader=dict(samples_per_gpu=1),
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test_dataloader=dict(samples_per_gpu=1),
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train=dict(
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type='UniformConcatDataset',
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datasets=train_list,
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pipeline=train_pipeline_r50dcnv2),
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val=dict(
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type='UniformConcatDataset',
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datasets=test_list,
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pipeline=test_pipeline_4068_1024),
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test=dict(
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type='UniformConcatDataset',
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datasets=test_list,
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pipeline=test_pipeline_4068_1024))
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evaluation = dict(
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interval=100,
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metric='hmean-iou',
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save_best='0_hmean-iou:hmean',
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rule='greater')
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