| label_convertor = dict( | |
| type='AttnConvertor', dict_type='DICT90', with_unknown=True) | |
| model = dict( | |
| type='SARNet', | |
| backbone=dict(type='ResNet31OCR'), | |
| encoder=dict( | |
| type='SAREncoder', | |
| enc_bi_rnn=False, | |
| enc_do_rnn=0.1, | |
| enc_gru=False, | |
| ), | |
| decoder=dict( | |
| type='ParallelSARDecoder', | |
| enc_bi_rnn=False, | |
| dec_bi_rnn=False, | |
| dec_do_rnn=0, | |
| dec_gru=False, | |
| pred_dropout=0.1, | |
| d_k=512, | |
| pred_concat=True), | |
| loss=dict(type='SARLoss'), | |
| label_convertor=label_convertor, | |
| max_seq_len=30) | |