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