refine code

vi_backbones.py

@@ -94,6 +94,7 @@ class vi_backbones(datasets.GeneratorBasedBuilder):
         for li in ul.find_all('li'):
             name = str(li.text)
             if name.__contains__('torchvision.models.') and len(name.split('.')) == 3:
+
                 if name.__contains__('_api') or name.__contains__('feature_extraction'):
                     continue
 
@@ -105,26 +106,40 @@ class vi_backbones(datasets.GeneratorBasedBuilder):
                     div_id = str(div['id'])
                     if div_id.__contains__('_Weights'):
                         m_ver = div_id.split('_Weight')[0].lower()
+
                         if not hasattr(models, m_ver):
                             continue
 
                         m_type = re.search('[a-zA-Z]+', m_ver).group(0)
+
                         in1k_v1_span = div.find(
-                            'span', {'class': 'n'}, string='IMAGENET1K_V1')
+                            name='span',
+                            attrs={'class': 'n'},
+                            string='IMAGENET1K_V1'
+                        )
 
                         if in1k_v1_span == None:
                             continue
 
                         m_dict, size_span = self._info_on_dataset(
-                            m_ver, m_type, in1k_v1_span)
+                            m_ver,
+                            m_type,
+                            in1k_v1_span
+                        )
                         in1k_v1.append(m_dict)
 
                         in1k_v2_span = size_span.find_next_sibling(
-                            'span', {'class': 'n'}, string='IMAGENET1K_V2')
+                            name='span',
+                            attrs={'class': 'n'},
+                            string='IMAGENET1K_V2'
+                        )
 
                         if in1k_v2_span != None:
                             m_dict, _ = self._info_on_dataset(
-                                m_ver, m_type, in1k_v2_span)
+                                m_ver,
+                                m_type,
+                                in1k_v2_span
+                            )
                             in1k_v2.append(m_dict)
 
         return in1k_v1, in1k_v2