Spaces:
Running
Running
| import numpy as np | |
| from openrec.preprocess.ctc_label_encode import BaseRecLabelEncode | |
| class EPLabelEncode(BaseRecLabelEncode): | |
| """Convert between text-label and text-index.""" | |
| EOS = '</s>' | |
| PAD = '<pad>' | |
| def __init__(self, | |
| max_text_length, | |
| character_dict_path=None, | |
| use_space_char=False, | |
| **kwargs): | |
| super(EPLabelEncode, | |
| 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 | |
| if len(text) > self.max_text_len: | |
| return None | |
| data['length'] = np.array(len(text)) | |
| text = text + [self.dict[self.EOS]] | |
| text = text + [self.dict[self.PAD] | |
| ] * (self.max_text_len + 1 - len(text)) | |
| data['label'] = np.array(text) | |
| return data | |
| def add_special_char(self, dict_character): | |
| dict_character = [self.EOS] + dict_character + [self.PAD] | |
| return dict_character | |