diff --git a/configs/det/det_r50_db++_ic15.yml b/configs/det/det_r50_db++_icdar15.yml
similarity index 100%
rename from configs/det/det_r50_db++_ic15.yml
rename to configs/det/det_r50_db++_icdar15.yml
diff --git a/doc/doc_ch/algorithm_det_db.md b/doc/doc_ch/algorithm_det_db.md
index afdddb1a73a495cbb3186348704b235f8076c7d1..5401132061e507773ae77be49555ba754d1cba15 100644
--- a/doc/doc_ch/algorithm_det_db.md
+++ b/doc/doc_ch/algorithm_det_db.md
@@ -32,7 +32,7 @@
 | --- | --- | --- | --- | --- | --- | --- |
 |DB|ResNet50_vd|[configs/det/det_r50_vd_db.yml](../../configs/det/det_r50_vd_db.yml)|86.41%|78.72%|82.38%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_r50_vd_db_v2.0_train.tar)|
 |DB|MobileNetV3|[configs/det/det_mv3_db.yml](../../configs/det/det_mv3_db.yml)|77.29%|73.08%|75.12%|[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/en/det_mv3_db_v2.0_train.tar)|
-|DB++|ResNet50|[configs/det/det_r50_db++_ic15.yml](../../configs/det/det_r50_db++_ic15.yml)|90.89%|82.66%|86.58%|[合成数据预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_icdar15_train.tar)|
+|DB++|ResNet50|[configs/det/det_r50_db++_icdar15.yml](../../configs/det/det_r50_db++_icdar15.yml)|90.89%|82.66%|86.58%|[合成数据预训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/ResNet50_dcn_asf_synthtext_pretrained.pdparams)/[训练模型](https://paddleocr.bj.bcebos.com/dygraph_v2.1/en_det/det_r50_db%2B%2B_icdar15_train.tar)|
 
 在TD_TR文本检测公开数据集上，算法复现效果如下：
 
diff --git a/tools/infer_det.py b/tools/infer_det.py
index df346523896c9c3f82d254600986e0eb221e3c9f..f253e8f2876a5942538f18e93dfdada4391875b2 100755
--- a/tools/infer_det.py
+++ b/tools/infer_det.py
@@ -106,7 +106,7 @@ def main():
                     dt_boxes_list = []
                     for box in boxes:
                         tmp_json = {"transcription": ""}
-                        tmp_json['points'] = list(box)
+                        tmp_json['points'] = np.array(box).tolist()
                         dt_boxes_list.append(tmp_json)
                     det_box_json[k] = dt_boxes_list
                     save_det_path = os.path.dirname(config['Global'][
@@ -118,7 +118,7 @@ def main():
                 # write result
                 for box in boxes:
                     tmp_json = {"transcription": ""}
-                    tmp_json['points'] = list(box)
+                    tmp_json['points'] = np.array(box).tolist()
                     dt_boxes_json.append(tmp_json)
                 save_det_path = os.path.dirname(config['Global'][
                     'save_res_path']) + "/det_results/"