cherry-pick 3505

ppocr/data/imaug/label_ops.py

@@ -19,6 +19,7 @@ from __future__ import unicode_literals
 
 import numpy as np
 import string
+import json
 
 
 class ClsLabelEncode(object):
@@ -39,7 +40,6 @@ class DetLabelEncode(object):
         pass
 
     def __call__(self, data):
-        import json
         label = data['label']
         label = json.loads(label)
         nBox = len(label)
@@ -54,8 +54,8 @@ class DetLabelEncode(object):
             else:
                 txt_tags.append(False)
         boxes = self.expand_points_num(boxes)
-        boxes = np.array(boxes, dtype=np.float32)
-        txt_tags = np.array(txt_tags, dtype=np.bool)
+        #boxes = np.array(boxes, dtype=np.float32)
+        #txt_tags = np.array(txt_tags, dtype=np.bool)
 
         data['polys'] = boxes
         data['texts'] = txts
@@ -352,19 +352,22 @@ class SRNLabelEncode(BaseRecLabelEncode):
                           % beg_or_end
         return idx
 
+
 class TableLabelEncode(object):
     """ Convert between text-label and text-index """
+
     def __init__(self,
                  max_text_length,
                  max_elem_length,
                  max_cell_num,
                  character_dict_path,
-        span_weight = 1.0, 
+                 span_weight=1.0,
                  **kwargs):
         self.max_text_length = max_text_length
         self.max_elem_length = max_elem_length
         self.max_cell_num = max_cell_num
-        list_character, list_elem = self.load_char_elem_dict(character_dict_path)
+        list_character, list_elem = self.load_char_elem_dict(
+            character_dict_path)
         list_character = self.add_special_char(list_character)
         list_elem = self.add_special_char(list_elem)
         self.dict_character = {}
@@ -383,10 +386,10 @@ class TableLabelEncode(object):
             substr = lines[0].decode('utf-8').strip("\n").split("\t")
             character_num = int(substr[0])
             elem_num = int(substr[1])
-            for cno in range(1, 1+character_num):
+            for cno in range(1, 1 + character_num):
                 character = lines[cno].decode('utf-8').strip("\n")
                 list_character.append(character)
-            for eno in range(1+character_num, 1+character_num+elem_num):
+            for eno in range(1 + character_num, 1 + character_num + elem_num):
                 elem = lines[eno].decode('utf-8').strip("\n")
                 list_elem.append(elem)
         return list_character, list_elem
@@ -412,18 +415,22 @@ class TableLabelEncode(object):
             return None
         elem_num = len(structure)
         structure = [0] + structure + [len(self.dict_elem) - 1]
-        structure = structure + [0] * (self.max_elem_length + 2 - len(structure))
+        structure = structure + [0] * (self.max_elem_length + 2 - len(structure)
+                                       )
         structure = np.array(structure)
         data['structure'] = structure
         elem_char_idx1 = self.dict_elem['<td>']
         elem_char_idx2 = self.dict_elem['<td']
         span_idx_list = self.get_span_idx_list()
-        td_idx_list = np.logical_or(structure == elem_char_idx1, structure == elem_char_idx2)
+        td_idx_list = np.logical_or(structure == elem_char_idx1,
+                                    structure == elem_char_idx2)
         td_idx_list = np.where(td_idx_list)[0]
 
-        structure_mask = np.ones((self.max_elem_length + 2, 1), dtype=np.float32)
+        structure_mask = np.ones(
+            (self.max_elem_length + 2, 1), dtype=np.float32)
         bbox_list = np.zeros((self.max_elem_length + 2, 4), dtype=np.float32)
-        bbox_list_mask = np.zeros((self.max_elem_length + 2, 1), dtype=np.float32)
+        bbox_list_mask = np.zeros(
+            (self.max_elem_length + 2, 1), dtype=np.float32)
         img_height, img_width, img_ch = data['image'].shape
         if len(span_idx_list) > 0:
             span_weight = len(td_idx_list) * 1.0 / len(span_idx_list)
@@ -450,9 +457,11 @@ class TableLabelEncode(object):
         char_end_idx = self.get_beg_end_flag_idx('end', 'char')
         elem_beg_idx = self.get_beg_end_flag_idx('beg', 'elem')
         elem_end_idx = self.get_beg_end_flag_idx('end', 'elem')
-        data['sp_tokens'] = np.array([char_beg_idx, char_end_idx, elem_beg_idx, 
-            elem_end_idx, elem_char_idx1, elem_char_idx2, self.max_text_length, 
-            self.max_elem_length, self.max_cell_num, elem_num])
+        data['sp_tokens'] = np.array([
+            char_beg_idx, char_end_idx, elem_beg_idx, elem_end_idx,
+            elem_char_idx1, elem_char_idx2, self.max_text_length,
+            self.max_elem_length, self.max_cell_num, elem_num
+        ])
         return data
 
     def encode(self, text, char_or_elem):
@@ -509,4 +518,3 @@ class TableLabelEncode(object):
             assert False, "Unsupport type %s in char_or_elem" \
                               % char_or_elem
         return idx
-    
\ No newline at end of file

tools/infer/utility.py

@@ -24,6 +24,7 @@ from paddle import inference
 import time
 from ppocr.utils.logging import get_logger
 
+
 def str2bool(v):
     return v.lower() in ("true", "t", "1")
 
@@ -47,8 +48,8 @@ def init_args():
 
     # DB parmas
     parser.add_argument("--det_db_thresh", type=float, default=0.3)
-    parser.add_argument("--det_db_box_thresh", type=float, default=0.5)
-    parser.add_argument("--det_db_unclip_ratio", type=float, default=1.6)
+    parser.add_argument("--det_db_box_thresh", type=float, default=0.6)
+    parser.add_argument("--det_db_unclip_ratio", type=float, default=1.5)
     parser.add_argument("--max_batch_size", type=int, default=10)
     parser.add_argument("--use_dilation", type=bool, default=False)
     parser.add_argument("--det_db_score_mode", type=str, default="fast")