fix vis font

demo/OpenVINO/cpp/yolox_openvino.cpp

@@ -391,7 +391,7 @@ static void draw_objects(const cv::Mat& bgr, const std::vector<Object>& objects)
         sprintf(text, "%s %.1f%%", class_names[obj.label], obj.prob * 100);
 
         int baseLine = 0;
-        cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_COMPLEX, 0.4, 1, &baseLine);
+        cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.4, 1, &baseLine);
 
         cv::Scalar txt_bk_color = color * 0.7 * 255;
 
@@ -407,7 +407,7 @@ static void draw_objects(const cv::Mat& bgr, const std::vector<Object>& objects)
                       txt_bk_color, -1);
 
         cv::putText(image, text, cv::Point(x, y + label_size.height),
-                    cv::FONT_HERSHEY_COMPLEX, 0.4, txt_color, 1);
+                    cv::FONT_HERSHEY_SIMPLEX, 0.4, txt_color, 1);
     }
 
     cv::imwrite("_demo.jpg" , image);

demo/TensorRT/cpp/yolox.cpp

@@ -394,7 +394,7 @@ static void draw_objects(const cv::Mat& bgr, const std::vector<Object>& objects,
         sprintf(text, "%s %.1f%%", class_names[obj.label], obj.prob * 100);
 
         int baseLine = 0;
-        cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_COMPLEX, 0.4, 1, &baseLine);
+        cv::Size label_size = cv::getTextSize(text, cv::FONT_HERSHEY_SIMPLEX, 0.4, 1, &baseLine);
 
         cv::Scalar txt_bk_color = color * 0.7 * 255;
 
@@ -410,7 +410,7 @@ static void draw_objects(const cv::Mat& bgr, const std::vector<Object>& objects,
                       txt_bk_color, -1);
 
         cv::putText(image, text, cv::Point(x, y + label_size.height),
-                    cv::FONT_HERSHEY_COMPLEX, 0.4, txt_color, 1);
+                    cv::FONT_HERSHEY_SIMPLEX, 0.4, txt_color, 1);
     }
 
     cv::imwrite("det_res.jpg", image);

yolox/utils/visualize.py

@@ -24,7 +24,7 @@ def vis(img, boxes, scores, cls_ids, conf=0.5, class_names=None):
         color = (_COLORS[cls_id] * 255).astype(np.uint8).tolist()
         text = '{}:{:.1f}%'.format(class_names[cls_id], score * 100)
         txt_color = (0, 0, 0) if np.mean(_COLORS[cls_id]) > 0.5 else (255, 255, 255)
-        font = cv2.FONT_HERSHEY_COMPLEX
+        font = cv2.FONT_HERSHEY_SIMPLEX
 
         txt_size = cv2.getTextSize(text, font, 0.4, 1)[0]
         cv2.rectangle(img, (x0, y0), (x1, y1), color, 2)