update dict

configs/rec/rec_r45_visionlan.yml

@@ -14,7 +14,7 @@ Global:
   use_visualdl: True
   infer_img: doc/imgs_words/en/word_2.png
   # for data or label process
-  character_dict_path: ppocr/utils/dict36.txt
+  character_dict_path:
   max_text_length: &max_text_length 25
   training_step: &training_step LA
   infer_mode: False

ppocr/data/imaug/label_ops.py

@@ -1267,6 +1267,11 @@ class VLLabelEncode(BaseRecLabelEncode):
                  **kwargs):
         super(VLLabelEncode, self).__init__(
             max_text_length, character_dict_path, use_space_char, lower)
+        self.character = self.character[10:] + self.character[
+            1:10] + [self.character[0]]
+        self.dict = {}
+        for i, char in enumerate(self.character):
+            self.dict[char] = i
 
     def __call__(self, data):
         text = data['label']  # original string

ppocr/postprocess/rec_postprocess.py

@@ -693,6 +693,8 @@ class VLLabelDecode(BaseRecLabelDecode):
         super(VLLabelDecode, self).__init__(character_dict_path, use_space_char)
         self.max_text_length = kwargs.get('max_text_length', 25)
         self.nclass = len(self.character) + 1
+        self.character = self.character[10:] + self.character[
+            1:10] + [self.character[0]]
 
     def decode(self, text_index, text_prob=None, is_remove_duplicate=False):
         """ convert text-index into text-label. """

ppocr/utils/dict36.txt

@@ -1,36 +0,0 @@
-a
-b
-c
-d
-e
-f
-g
-h
-i
-j
-k
-l
-m
-n
-o
-p
-q
-r
-s
-t
-u
-v
-w
-x
-y
-z
-1
-2
-3
-4
-5
-6
-7
-8
-9
-0