mirror of
https://github.com/open-mmlab/mmocr.git
synced 2025-06-03 21:54:47 +08:00
63 lines
1.5 KiB
Python
63 lines
1.5 KiB
Python
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num_chars = 37
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max_seq_len = 26
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label_convertor = dict(
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type='ABIConvertor',
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dict_type='DICT36',
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with_unknown=False,
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with_padding=False,
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lower=True,
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)
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model = dict(
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type='ABINet',
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backbone=dict(type='ResNetABI'),
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encoder=dict(
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type='ABIVisionModel',
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encoder=dict(
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type='TransformerEncoder',
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n_layers=3,
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n_head=8,
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d_model=512,
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d_inner=2048,
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dropout=0.1,
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max_len=8 * 32,
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),
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decoder=dict(
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type='ABIVisionDecoder',
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in_channels=512,
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num_channels=64,
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attn_height=8,
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attn_width=32,
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attn_mode='nearest',
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use_result='feature',
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num_chars=num_chars,
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max_seq_len=max_seq_len,
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init_cfg=dict(type='Xavier', layer='Conv2d')),
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),
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decoder=dict(
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type='ABILanguageDecoder',
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d_model=512,
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n_head=8,
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d_inner=2048,
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n_layers=4,
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dropout=0.1,
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detach_tokens=True,
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use_self_attn=False,
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pad_idx=num_chars - 1,
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num_chars=num_chars,
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max_seq_len=max_seq_len,
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init_cfg=None),
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fuser=dict(
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type='ABIFuser',
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d_model=512,
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num_chars=num_chars,
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init_cfg=None,
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max_seq_len=max_seq_len,
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),
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loss=dict(
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type='ABILoss', enc_weight=1.0, dec_weight=1.0, fusion_weight=1.0),
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label_convertor=label_convertor,
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max_seq_len=max_seq_len,
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iter_size=3)
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