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import re |
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from .ctc_postprocess import BaseRecLabelDecode |
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rules = [ |
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(r'-<\|sn\|>', ''), |
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(r' <\|sn\|>', ' '), |
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(r'<\|sn\|>', ' '), |
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(r'<\|unk\|>', ''), |
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(r'<s>', ''), |
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(r'</s>', ''), |
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(r'\uffff', ''), |
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(r'_{4,}', '___'), |
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(r'\.{4,}', '...'), |
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] |
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def clean_special_tokens(text): |
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text = text.replace('Ġ', |
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' ').replace('Ċ', '\n').replace('<|bos|>', '').replace( |
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'<|eos|>', '').replace('<|pad|>', '') |
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for rule in rules: |
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text = re.sub(rule[0], rule[1], text) |
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return text |
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class UniRecLabelDecode(BaseRecLabelDecode): |
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"""Convert between text-label and text-index.""" |
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SPACE = '[s]' |
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GO = '[GO]' |
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list_token = [GO, SPACE] |
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def __init__(self, |
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character_dict_path=None, |
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use_space_char=False, |
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tokenizer_path='./configs/rec/unirec/unirec-0.1b', |
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**kwargs): |
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super(UniRecLabelDecode, self).__init__(character_dict_path, |
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use_space_char) |
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from transformers import AutoTokenizer |
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self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_path) |
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def __call__(self, preds, batch=None, *args, **kwargs): |
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result_list = [] |
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pred_ids = preds |
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res = [ |
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''.join(self.tokenizer.convert_ids_to_tokens(seq.tolist())) |
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for seq in pred_ids |
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] |
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for i in range(len(res)): |
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res[i] = clean_special_tokens(res[i]) |
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result_list.append( |
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(res[i], |
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0.0)) |
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return result_list |
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def add_special_char(self, dict_character): |
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dict_character = self.list_token + dict_character |
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return dict_character |
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