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- import numpy as np
- from openrec.preprocess.ctc_label_encode import BaseRecLabelEncode
- class ARLabelEncode(BaseRecLabelEncode):
- """Convert between text-label and text-index."""
- BOS = '<s>'
- EOS = '</s>'
- PAD = '<pad>'
- def __init__(self,
- max_text_length,
- character_dict_path=None,
- use_space_char=False,
- **kwargs):
- super(ARLabelEncode,
- self).__init__(max_text_length, character_dict_path,
- use_space_char)
- def __call__(self, data):
- text = data['label']
- text = self.encode(text)
- if text is None:
- return None
- data['length'] = np.array(len(text))
- text = [self.dict[self.BOS]] + text + [self.dict[self.EOS]]
- text = text + [self.dict[self.PAD]
- ] * (self.max_text_len + 2 - len(text))
- data['label'] = np.array(text)
- return data
- def add_special_char(self, dict_character):
- dict_character = [self.EOS] + dict_character + [self.BOS, self.PAD]
- return dict_character
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