上线部署

detectionThread.py

@@ -1142,7 +1142,9 @@ class DetectionThread(threading.Thread):
                         self.frame_count += 1
                         continue
                     # 多模型推理
+                    start = time.time()
                     annotated_frame, model_detections = self._multi_model_inference(frame)
+                    logger.info(f'startTime:{start},endTime:{time.time()},时间差:{time.time() - start}')
                     # 推流处理（Windows优化）
                     if self.enable_push:
                         if not self.push_frame_to_task_streamer(annotated_frame):
@@ -1151,9 +1153,7 @@ class DetectionThread(threading.Thread):
 
                     if current_time - self.last_log_time >= 1:
                         # # WebSocket发送
-                        start = time.time()
                         self.send_to_websocket(model_detections)
-                        logger.info(f'startTime:{start},endTime:{time.time()},时间差:{time.time()-start}')
                         # # 上传处理
                         # self.handle_upload(annotated_frame, model_detections, current_time)
                         self.last_log_time = current_time

detection_render.py

@@ -421,7 +421,7 @@ def multi_model_inference(
                     # plot方法通常返回RGB图像，转换为BGR
                     if len(frame_drawn.shape) == 3 and frame_drawn.shape[2] == 3:
                         frame_drawn = cv2.cvtColor(frame_drawn, cv2.COLOR_RGB2BGR)
-                    print(f"使用 {single_detection.model_name} 的 plot() 方法绘制结果")
+                    # print(f"使用 {single_detection.model_name} 的 plot() 方法绘制结果")
                     return frame_drawn, detections
                 else:
                     print(f"模型 {single_detection.model_name} 的结果对象没有 plot() 方法，使用自定义绘制")