fix comment

configs/rec/rec_r34_vd_tps_bilstm_att.yml

@@ -43,7 +43,6 @@ Architecture:
   Backbone:
     name: ResNet  
     layers: 34
-
   Neck:
     name: SequenceEncoder
     encoder_type: rnn 
@@ -53,7 +52,6 @@ Architecture:
     hidden_size: 256 #
     l2_decay: 0.00001
 
-
 Loss:
   name: AttentionLoss
 

ppocr/postprocess/rec_postprocess.py

@@ -192,25 +192,6 @@ class AttnLabelDecode(BaseRecLabelDecode):
         label = self.decode(label, is_remove_duplicate=False)
         return text, label
 
-    def encoder(self, labels, labels_length):
-        """
-        used to encoder labels readed from LMDB dataset, forexample:
-        [35, 25, 31, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]] encode to
-        'you': [0, 35,25,31, 37, 0, ...] 'sos'you'eos'
-        """
-        if isinstance(labels, paddle.Tensor):
-            labels = labels.numpy()
-        batch_max_length = labels.shape[
-            1] + 2  # add start token 'sos' and end token 'eos'
-        new_labels = np.zeros(
-            [labels.shape[0], batch_max_length]).astype(np.int64)
-        for i in range(labels.shape[0]):
-            new_labels[i, 1:1 + labels_length[i]] = labels[i, :labels_length[
-                i]]  # new_labels[i, 0] = 'sos' token
-            new_labels[i, labels_length[i] + 1] = len(
-                self.character) - 1  # add end charactor 'eos' token
-        return new_labels
-
     def get_ignored_tokens(self):
         beg_idx = self.get_beg_end_flag_idx("beg")
         end_idx = self.get_beg_end_flag_idx("end")