fix bug

@@ -300,7 +300,7 @@ def build_dataset(img_dir, go_res_dir, label_dir, top_text_list, skip_list, save
 if __name__ == '__main__':
     base_dir = '/Users/zhouweiqi/Downloads/gcfp/data'
     go_dir = os.path.join(base_dir, 'go_res')
-    dataset_save_dir = os.path.join(base_dir, 'dataset160x14-pro')
+    dataset_save_dir = os.path.join(base_dir, 'dataset160x14-pro-all-valid')
     label_dir = os.path.join(base_dir, 'labeled')
 
     train_go_path = os.path.join(go_dir, 'train')
@@ -360,14 +360,14 @@ if __name__ == '__main__':
     ]
 
     skip_list_train = [
-        # 'CH-B101910792-page-12.jpg',
-        # 'CH-B101655312-page-13.jpg',
-        # 'CH-B102278656.jpg',
-        # 'CH-B101846620_page_1_img_0.jpg',
-        # 'CH-B103062528-0.jpg',
-        # 'CH-B102613120-3.jpg',
-        # 'CH-B102997980-3.jpg',
-        # 'CH-B102680060-3.jpg',
+        'CH-B101910792-page-12.jpg',
+        'CH-B101655312-page-13.jpg',
+        'CH-B102278656.jpg',
+        'CH-B101846620_page_1_img_0.jpg',
+        'CH-B103062528-0.jpg',
+        'CH-B102613120-3.jpg',
+        'CH-B102997980-3.jpg',
+        'CH-B102680060-3.jpg',
         # # 'CH-B102995500-2.jpg',  # 没value
     ]
 

@@ -292,36 +292,36 @@ class SLSolver(object):
             bbox_text_dict = dict()
             for i in range(valid_lens_scalar):
                 if pred[i] != 0:
-                    bbox_text_dict.setdefault(test_group_id[pred[i]-1], list()).append(i) 
-
-                if pred[i] == label[i]:
-                    correct += 1
-                    if pred[i] != 0:
-                        # 绿色
-                        bbox_draw_dict[i] = (group_cn_list[pred[i]], )
-                else:
-                    # 红色：左上角label，右上角pred
-                    bbox_draw_dict[i] = (group_cn_list[label[i]], group_cn_list[pred[i]])
-
-            correct_rate = correct / valid_lens_scalar
+                    bbox_text_dict.setdefault(pred[i]-1, list()).append(i) 
+
+            #     if pred[i] == label[i]:
+            #         correct += 1
+            #         if pred[i] != 0:
+            #             # 绿色
+            #             bbox_draw_dict[i] = (group_cn_list[pred[i]], )
+            #     else:
+            #         # 红色：左上角label，右上角pred
+            #         bbox_draw_dict[i] = (group_cn_list[label[i]], group_cn_list[pred[i]])
+
+            # correct_rate = correct / valid_lens_scalar
             
             # 画图
-            for idx, text_tuple in bbox_draw_dict.items():
-                (x0, y0, x1, y1, x2, y2, x3, y3), _ = go_res_list[idx]
-                line_color = green_color if len(text_tuple) == 1 else red_color
-                draw.polygon([(x0, y0), (x1, y1), (x2, y2), (x3, y3)], outline=line_color)
-                draw.text((int(x0), int(y0)), text_tuple[0], green_color, font=font)
-                if len(text_tuple) == 2:
-                    draw.text((int(x1), int(y1)), text_tuple[1], red_color, font=font)
+            # for idx, text_tuple in bbox_draw_dict.items():
+            #     (x0, y0, x1, y1, x2, y2, x3, y3), _ = go_res_list[idx]
+            #     line_color = green_color if len(text_tuple) == 1 else red_color
+            #     draw.polygon([(x0, y0), (x1, y1), (x2, y2), (x3, y3)], outline=line_color)
+            #     draw.text((int(x0), int(y0)), text_tuple[0], green_color, font=font)
+            #     if len(text_tuple) == 2:
+            #         draw.text((int(x1), int(y1)), text_tuple[1], red_color, font=font)
 
-            draw.text((0, 0), str(correct_rate), blue_color, font=font)
+            # draw.text((0, 0), str(correct_rate), blue_color, font=font)
 
-            last_y = size 
-            for k, v in val_map[img_name][map_key_value].items():
-                draw.text((0, last_y), '{0}: {1}'.format(k, v), blue_color, font=font)
-                last_y += size
+            # last_y = size 
+            # for k, v in val_map[img_name][map_key_value].items():
+            #     draw.text((0, last_y), '{0}: {1}'.format(k, v), blue_color, font=font)
+            #     last_y += size
 
-            img_pil.save(os.path.join(save_dir, img_name))
+            # img_pil.save(os.path.join(save_dir, img_name))
 
             # 统计准确率
             label_json_path = os.path.join(self.val_label_path, '{0}.json'.format(base_image_name))
@@ -355,7 +355,7 @@ class SLSolver(object):
 
             # break
         
-        for key_cn, (correct_count, all_count) in data_dict.ietms():
+        for key_cn, (correct_count, all_count) in data_dict.items():
             print('{0}: {1}'.format(key_cn, round(correct_count/all_count, 2)))
     
         print('===========================')