add shell

@@ -60,8 +60,6 @@ def build_dataset(img_dir, go_res_dir, label_dir, top_text_list, skip_list, save
     # else:
     #     os.makedirs(save_dir, exist_ok=True)
 
-    count = 0
-    un_count = 0
     top_text_count = len(top_text_list)
     for img_name in sorted(os.listdir(img_dir)):
         if img_name in skip_list:
@@ -153,22 +151,18 @@ def build_dataset(img_dir, go_res_dir, label_dir, top_text_list, skip_list, save
 
             input_label = copy.deepcopy(src_label_list)
             input_label[idx] = 1
-            # with open(os.path.join(save_dir, '{0}.json'.format(uuid.uuid3(uuid.NAMESPACE_DNS, '{0}-{1}'.format(img_name, find_go_key)))), 'w') as fp:
-            #     json.dump([input_list, input_label], fp)
-            count += 1
-
-        for go_key, ((x0, y0, x1, y1, x2, y2, x3, y3), _) in go_res.items(): 
-            if go_key in go_key_set:
-                continue
-            input_list = copy.deepcopy(input_key_list)
-            input_list.append([x0/w, y0/h, x1/w, y1/h, x2/w, y2/h, x3/w, y3/h])
+            with open(os.path.join(save_dir, '{0}.json'.format(uuid.uuid3(uuid.NAMESPACE_DNS, '{0}-{1}'.format(img_name, find_go_key)))), 'w') as fp:
+                json.dump([input_list, input_label], fp)
+
+        # for go_key, ((x0, y0, x1, y1, x2, y2, x3, y3), _) in go_res.items(): 
+        #     if go_key in go_key_set:
+        #         continue
+        #     input_list = copy.deepcopy(input_key_list)
+        #     input_list.append([x0/w, y0/h, x1/w, y1/h, x2/w, y2/h, x3/w, y3/h])
         #     with open(os.path.join(save_dir, '{0}.json'.format(uuid.uuid3(uuid.NAMESPACE_DNS, '{0}-{1}'.format(img_name, go_key)))), 'w') as fp:
         #         json.dump([input_list, src_label_list], fp)
-            un_count += 1
 
         # break
-    print(count)
-    print(un_count)
 
 
 if __name__ == '__main__':
@@ -246,7 +240,7 @@ if __name__ == '__main__':
 
     # build_dataset(train_image_path, train_go_path, train_label_path, filter_from_top_text_list, skip_list_train, train_dataset_dir)
 
-    build_dataset(valid_image_path, valid_go_path, valid_label_path, filter_from_top_text_list, skip_list_valid, valid_dataset_dir)
+    # build_dataset(valid_image_path, valid_go_path, valid_label_path, filter_from_top_text_list, skip_list_valid, valid_dataset_dir)
 
     # build_anno_file(train_dataset_dir, train_anno_file_path)
     # build_anno_file(valid_dataset_dir, valid_anno_file_path)

+CUDA_VISIBLE_DEVICES=0 nohup python main.py > train.log 2>&1 &
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