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19 lines
570 B
Python
19 lines
570 B
Python
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# model
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label_convertor = dict(
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type='CTCConvertor', dict_type='DICT36', with_unknown=False, lower=True)
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model = dict(
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type='CRNNNet',
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preprocessor=dict(
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type='TPSPreprocessor',
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num_fiducial=20,
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img_size=(32, 100),
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rectified_img_size=(32, 100),
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num_img_channel=1),
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backbone=dict(type='VeryDeepVgg', leaky_relu=False, input_channels=1),
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encoder=None,
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decoder=dict(type='CRNNDecoder', in_channels=512, rnn_flag=True),
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loss=dict(type='CTCLoss'),
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label_convertor=label_convertor,
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pretrained=None)
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