convert text-label into text-index. input: text: text labels of each image. [batch_size] output: text: concatenated text index for CTCLoss. [sum(text_lengths)] = [text_index_0 + text_index_1 + ... + text_index_(n - 1)] length:
(self, text)
| 66 | return dict_character |
| 67 | |
| 68 | def encode(self, text): |
| 69 | """convert text-label into text-index. |
| 70 | input: |
| 71 | text: text labels of each image. [batch_size] |
| 72 | |
| 73 | output: |
| 74 | text: concatenated text index for CTCLoss. |
| 75 | [sum(text_lengths)] = [text_index_0 + text_index_1 + ... + text_index_(n - 1)] |
| 76 | length: length of each text. [batch_size] |
| 77 | """ |
| 78 | if len(text) == 0: |
| 79 | return None |
| 80 | if self.lower: |
| 81 | text = text.lower() |
| 82 | text_list = [] |
| 83 | for char in text: |
| 84 | if char not in self.dict: |
| 85 | continue |
| 86 | text_list.append(self.dict[char]) |
| 87 | if len(text_list) == 0 or len(text_list) > self.max_text_len: |
| 88 | return None |
| 89 | return text_list |
| 90 | |
| 91 | |
| 92 | class CTCLabelEncode(BaseRecLabelEncode): |