mmocr/configs/_base_/recog_models/crnn.py

12 lines
375 B
Python

label_convertor = dict(
type='CTCConvertor', dict_type='DICT90', with_unknown=False)
model = dict(
type='CRNNNet',
preprocessor=None,
backbone=dict(type='VeryDeepVgg', leaky_relu=False),
encoder=None,
decoder=dict(type='CRNNDecoder', in_channels=512, rnn_flag=True),
loss=dict(type='CTCLoss', flatten=False),
label_convertor=label_convertor)