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- import numpy as np
- from .ctc_label_encode import BaseRecLabelEncode
- class ABINetLabelEncode(BaseRecLabelEncode):
- """Convert between text-label and text-index."""
- def __init__(self,
- max_text_length,
- character_dict_path=None,
- use_space_char=False,
- ignore_index=100,
- **kwargs):
- super(ABINetLabelEncode,
- self).__init__(max_text_length, character_dict_path,
- use_space_char)
- self.ignore_index = ignore_index
- def __call__(self, data):
- text = data['label']
- text = self.encode(text)
- if text is None:
- return None
- if len(text) > self.max_text_len:
- return None
- data['length'] = np.array(len(text))
- text.append(0)
- text = text + [self.ignore_index] * (self.max_text_len + 1 - len(text))
- data['label'] = np.array(text)
- return data
- def add_special_char(self, dict_character):
- dict_character = ['</s>'] + dict_character
- return dict_character
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