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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 | |