fix bug

@@ -206,10 +206,25 @@ class SLSolver(object):
             print('Warn: val_map_path not exists: {0}'.format(self.val_map_path))    
             print('Warn: val_map_path not exists: {0}'.format(self.val_map_path))    
             return
             return
 
 
+        if isinstance(self.model_path, str) and os.path.exists(self.model_path):
+            self.model.load_state_dict(torch.load(self.model_path))
+            self.logger.info(f'==> Load Model from {self.model_path}')
+        else:
+            return
+
+        self.model.eval()
+
         map_key_input = 'x_y_valid_lens'
         map_key_input = 'x_y_valid_lens'
         map_key_text = 'find_top_text'
         map_key_text = 'find_top_text'
         map_key_value = 'find_value'
         map_key_value = 'find_value'
         group_cn_list = ['其他', '开票日期', '发票代码', '机打号码', '车辆类型', '电话', '发动机号码', '车架号', '帐号', '开户银行', '小写']
         group_cn_list = ['其他', '开票日期', '发票代码', '机打号码', '车辆类型', '电话', '发动机号码', '车架号', '帐号', '开户银行', '小写']
+        skip_list_valid = [
+            'CH-B102897920-2.jpg',
+            'CH-B102551284-0.jpg',
+            'CH-B102879376-2.jpg',
+            'CH-B101509488-page-16.jpg',
+            'CH-B102708352-2.jpg',
+        ]
 
 
         dataset_base_dir = os.path.dirname(self.val_map_path)
         dataset_base_dir = os.path.dirname(self.val_map_path)
         val_dataset_dir = os.path.join(dataset_base_dir, 'valid')
         val_dataset_dir = os.path.join(dataset_base_dir, 'valid')
@@ -217,12 +232,13 @@ class SLSolver(object):
         if not os.path.isdir(save_dir):
         if not os.path.isdir(save_dir):
             os.makedirs(save_dir, exist_ok=True)
             os.makedirs(save_dir, exist_ok=True)
 
 
-        self.model.eval()
-
         with open(self.val_map_path, 'r') as fp:
         with open(self.val_map_path, 'r') as fp:
             val_map = json.load(fp) 
             val_map = json.load(fp) 
         
         
         for img_name in sorted(os.listdir(self.val_image_path)):
         for img_name in sorted(os.listdir(self.val_image_path)):
+            if img_name in skip_list_valid:
+                continue
+
             print('Info: start {0}'.format(img_name))
             print('Info: start {0}'.format(img_name))
             image_path = os.path.join(self.val_image_path, img_name)
             image_path = os.path.join(self.val_image_path, img_name)
 
 
@@ -232,11 +248,11 @@ class SLSolver(object):
             draw = ImageDraw.Draw(img_pil)
             draw = ImageDraw.Draw(img_pil)
 
 
             if im_h < im_w:
             if im_h < im_w:
-                size = int(im_h * 0.015)
+                size = int(im_h * 0.010)
             else:
             else:
-                size = int(im_w * 0.015)
-            if size < 14:
-                size = 14
+                size = int(im_w * 0.010)
+            if size < 10:
+                size = 10
             font = ImageFont.truetype(self.draw_font_path, size, encoding='utf-8')
             font = ImageFont.truetype(self.draw_font_path, size, encoding='utf-8')
 
 
             green_color = (0, 255, 0)
             green_color = (0, 255, 0)
@@ -253,7 +269,7 @@ class SLSolver(object):
 
 
             X = torch.tensor(input_list).unsqueeze(0).to(self.device)
             X = torch.tensor(input_list).unsqueeze(0).to(self.device)
             y_true = torch.tensor(label_list).unsqueeze(0).float().to(self.device)
             y_true = torch.tensor(label_list).unsqueeze(0).float().to(self.device)
-            valid_lens = torch.tenor([valid_lens_scalar, ]).to(self.device)
+            valid_lens = torch.tensor([valid_lens_scalar, ]).to(self.device)
             del input_list
             del input_list
             del label_list
             del label_list