拉伸人脸识别分辨率

face_rec.py

@@ -1707,20 +1707,13 @@ class FaceRecognitionSystem:
 
         self.logger.info("开始处理视频流")
 
-        # 创建显示窗口并最大化
+        # 创建显示窗口并设置为全屏
         window_name = 'Hello'
-        cv2.namedWindow(window_name, cv2.WINDOW_NORMAL | cv2.WINDOW_GUI_NORMAL)
+        cv2.namedWindow(window_name, cv2.WINDOW_NORMAL)
 
-        # 设置窗口为全屏或最大化
-        cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_NORMAL)
-        try:
-            import screeninfo
-            screen = screeninfo.get_monitors()[0]
-            cv2.resizeWindow(window_name, screen.width, screen.height)
-            cv2.moveWindow(window_name, 0, 0)
-        except:
-            cv2.resizeWindow(window_name, 1920, 1080)
-            self.logger.warning("无法获取屏幕分辨率,使用默认窗口大小")
+        # 设置窗口为全屏模式
+        cv2.setWindowProperty(window_name, cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
+        self.logger.info("人脸识别窗口设置为全屏模式")
 
         # 添加推流健康检查计数器
         stream_check_counter = 0
@@ -1911,8 +1904,21 @@ class FaceRecognitionSystem:
                             self.logger.debug("人脸消失,重置计时器")
                         self.face_present_start = None
 
-                # 绘制信息并显示
+                # 绘制信息
                 display_frame = self.draw_info_on_frame(frame)
+                
+                # 获取屏幕尺寸并拉伸视频帧到全屏
+                try:
+                    import screeninfo
+                    screen = screeninfo.get_monitors()[0]
+                    screen_width, screen_height = screen.width, screen.height
+                    
+                    # 拉伸视频帧到屏幕尺寸
+                    display_frame = cv2.resize(display_frame, (screen_width, screen_height), interpolation=cv2.INTER_LINEAR)
+                except:
+                    # 如果获取屏幕信息失败，使用默认尺寸
+                    display_frame = cv2.resize(display_frame, (1920, 1080), interpolation=cv2.INTER_LINEAR)
+                
                 cv2.imshow(window_name, display_frame)
 
                 # 检查二维码显示是否超时