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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 | |