mirror of https://github.com/open-mmlab/mmocr.git
22 lines
733 B
Python
22 lines
733 B
Python
label_convertor = dict(
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type='SegConvertor', dict_type='DICT36', with_unknown=True, lower=True)
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model = dict(
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type='SegRecognizer',
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backbone=dict(
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type='ResNet31OCR',
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layers=[1, 2, 5, 3],
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channels=[32, 64, 128, 256, 512, 512],
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out_indices=[0, 1, 2, 3],
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stage4_pool_cfg=dict(kernel_size=2, stride=2),
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last_stage_pool=True),
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neck=dict(
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type='FPNOCR', in_channels=[128, 256, 512, 512], out_channels=256),
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head=dict(
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type='SegHead',
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in_channels=256,
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upsample_param=dict(scale_factor=2.0, mode='nearest')),
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loss=dict(
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type='SegLoss', seg_downsample_ratio=1.0, seg_with_loss_weight=True),
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label_convertor=label_convertor)
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