diff --git a/deploy/cpp_infer/include/ocr_det.h b/deploy/cpp_infer/include/ocr_det.h
index e2f6d8c941c4639f5905fdddeda4460ea67c6f7e..24392495348c8d85350e6b34725a33c76f0415f1 100644
--- a/deploy/cpp_infer/include/ocr_det.h
+++ b/deploy/cpp_infer/include/ocr_det.h
@@ -45,8 +45,9 @@ public:
                       const double &det_db_thresh,
                       const double &det_db_box_thresh,
                       const double &det_db_unclip_ratio,
-                      const bool &det_db_score_mode, const bool &use_dilation,
-                      const bool &use_tensorrt, const std::string &precision) {
+                      const std::string &det_db_score_mode,
+                      const bool &use_dilation, const bool &use_tensorrt,
+                      const std::string &precision) {
     this->use_gpu_ = use_gpu;
     this->gpu_id_ = gpu_id;
     this->gpu_mem_ = gpu_mem;
diff --git a/deploy/cpp_infer/readme.md b/deploy/cpp_infer/readme.md
index e7104881027b111de6821af8244ea2a6092fc14b..d269cc9e8fdfd68700e32c14816dc3b313bfad23 100644
--- a/deploy/cpp_infer/readme.md
+++ b/deploy/cpp_infer/readme.md
@@ -267,7 +267,7 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
 |det_db_thresh|float|0.3|用于过滤DB预测的二值化图像，设置为0.-0.3对结果影响不明显|
 |det_db_box_thresh|float|0.5|DB后处理过滤box的阈值，如果检测存在漏框情况，可酌情减小|
 |det_db_unclip_ratio|float|1.6|表示文本框的紧致程度，越小则文本框更靠近文本|
-|use_polygon_score|bool|false|是否使用多边形框计算bbox score，false表示使用矩形框计算。矩形框计算速度更快，多边形框对弯曲文本区域计算更准确。|
+|det_db_score_mode|string|slow|slow:使用多边形框计算bbox score，fast:使用矩形框计算。矩形框计算速度更快，多边形框对弯曲文本区域计算更准确。|
 |visualize|bool|true|是否对结果进行可视化，为1时，预测结果会保存在`output`字段指定的文件夹下和输入图像同名的图像上。|
 
 - 方向分类器相关
diff --git a/deploy/cpp_infer/readme_en.md b/deploy/cpp_infer/readme_en.md
index 61d65095394a9f5b7323bf8eb7324cd1e91b1346..b7687a9f6530976655a99690e9be02a04bbce6d3 100644
--- a/deploy/cpp_infer/readme_en.md
+++ b/deploy/cpp_infer/readme_en.md
@@ -260,7 +260,7 @@ More parameters are as follows,
 |det_db_thresh|float|0.3|Used to filter the binarized image of DB prediction, setting 0.-0.3 has no obvious effect on the result|
 |det_db_box_thresh|float|0.5|DB post-processing filter box threshold, if there is a missing box detected, it can be reduced as appropriate|
 |det_db_unclip_ratio|float|1.6|Indicates the compactness of the text box, the smaller the value, the closer the text box to the text|
-|use_polygon_score|bool|false|Whether to use polygon box to calculate bbox score, false means to use rectangle box to calculate. Use rectangular box to calculate faster, and polygonal box more accurate for curved text area.|
+|det_db_score_mode|string|slow| slow: use polygon box to calculate bbox score, fast: use rectangle box to calculate. Use rectangular box to calculate faster, and polygonal box more accurate for curved text area.|
 |visualize|bool|true|Whether to visualize the results，when it is set as true, the prediction results will be saved in the folder specified by the `output` field on an image with the same name as the input image.|
 
 - Classifier related parameters
diff --git a/deploy/cpp_infer/src/main.cpp b/deploy/cpp_infer/src/main.cpp
index aebb0cb32d111632ddc246abdab723b3bf1b3859..046a68a9692c6bbaf582924c688249b0bc366b97 100644
--- a/deploy/cpp_infer/src/main.cpp
+++ b/deploy/cpp_infer/src/main.cpp
@@ -55,7 +55,7 @@ DEFINE_double(det_db_thresh, 0.3, "Threshold of det_db_thresh.");
 DEFINE_double(det_db_box_thresh, 0.6, "Threshold of det_db_box_thresh.");
 DEFINE_double(det_db_unclip_ratio, 1.5, "Threshold of det_db_unclip_ratio.");
 DEFINE_bool(use_dilation, false, "Whether use the dilation on output map.");
-DEFINE_bool(det_db_score_mode, false, "Whether use polygon score.");
+DEFINE_string(det_db_score_mode, "slow", "Whether use polygon score.");
 // classification related
 DEFINE_bool(use_angle_cls, false, "Whether use use_angle_cls.");
 DEFINE_string(cls_model_dir, "", "Path of cls inference model.");