mirror of https://github.com/open-mmlab/mmocr.git
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
model = dict(
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type='DBNet',
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backbone=dict(
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type='mmdet.ResNet',
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depth=50,
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num_stages=4,
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out_indices=(0, 1, 2, 3),
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frozen_stages=-1,
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norm_cfg=dict(type='BN', requires_grad=True),
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norm_eval=False,
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style='pytorch',
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dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False),
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init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'),
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stage_with_dcn=(False, True, True, True)),
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neck=dict(
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type='FPNC',
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in_channels=[256, 512, 1024, 2048],
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lateral_channels=256,
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asf_cfg=dict(attention_type='ScaleChannelSpatial')),
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det_head=dict(
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type='DBHead',
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in_channels=256,
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module_loss=dict(
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type='DBModuleLoss', alpha=5.0, beta=10.0, bbce_loss=True),
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postprocessor=dict(
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type='DBPostprocessor', text_repr_type='quad',
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epsilon_ratio=0.002)),
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data_preprocessor=dict(
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type='TextDetDataPreprocessor',
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mean=[123.675, 116.28, 103.53],
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std=[58.395, 57.12, 57.375],
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bgr_to_rgb=True,
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pad_size_divisor=32))
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