修改信息面板窗口大小字体；修改展厅界面为全屏

face_rec.py

@@ -246,47 +246,18 @@ class FaceRecognitionSystem:
                 self.logger.error(f"无法打开视频文件: {self.video_path}")
                 return False
 
-            # 创建视频窗口
-            cv2.namedWindow(self.video_window_name, cv2.WINDOW_NORMAL | cv2.WINDOW_GUI_NORMAL)
+            # 创建视频窗口并设置为全屏
+            cv2.namedWindow(self.video_window_name, cv2.WINDOW_NORMAL)
 
-            # 获取视频尺寸
+            # 设置窗口为全屏模式
+            cv2.setWindowProperty(self.video_window_name, cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
+
+            # 获取视频信息
             video_width = int(self.video_capture.get(cv2.CAP_PROP_FRAME_WIDTH))
             video_height = int(self.video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
             video_fps = self.video_capture.get(cv2.CAP_PROP_FPS)
 
-            # 设置窗口大小和位置
-            try:
-                import screeninfo
-                screen = screeninfo.get_monitors()[0]
-
-                # 设置视频显示尺寸为屏幕的80%
-                target_width = int(screen.width)
-                target_height = int(screen.height)
-
-                # 保持宽高比
-                scale_width = target_width / video_width
-                scale_height = target_height / video_height
-                scale = min(scale_width, scale_height)
-
-                new_width = int(video_width * scale)
-                new_height = int(video_height * scale)
-
-                # 计算居中位置
-                x_pos = (screen.width - new_width) // 2
-                y_pos = (screen.height - new_height) // 2
-
-                # 设置窗口大小和位置
-                cv2.resizeWindow(self.video_window_name, new_width, new_height)
-                cv2.moveWindow(self.video_window_name, x_pos, y_pos)
-
-                self.logger.info(f"视频显示尺寸: {new_width}x{new_height}, 位置: ({x_pos}, {y_pos})")
-
-            except Exception as e:
-                self.logger.warning(f"无法获取屏幕信息,使用默认尺寸: {e}")
-                cv2.resizeWindow(self.video_window_name, 1280, 720)
-
-            # 设置窗口置顶
-            cv2.setWindowProperty(self.video_window_name, cv2.WND_PROP_TOPMOST, 1)
+            self.logger.info(f"视频全屏显示: 原始尺寸 {video_width}x{video_height}, FPS: {video_fps:.2f}")
 
             self.video_showing = True
             self.video_start_time = time.time()
@@ -390,6 +361,18 @@ class FaceRecognitionSystem:
                 # 在视频帧上绘制机器人状态
                 frame_with_status = self._draw_robot_status_on_video(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
+                    frame_with_status = cv2.resize(frame_with_status, (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
+                    frame_with_status = cv2.resize(frame_with_status, (1920, 1080), interpolation=cv2.INTER_LINEAR)
+
                 # 显示视频帧
                 cv2.imshow(self.video_window_name, frame_with_status)
             else:
@@ -1477,9 +1460,9 @@ class FaceRecognitionSystem:
                         (255, 255, 255)
                     )
 
-        # 绘制状态信息面板（左上角小窗口）
-        panel_width = 350
-        panel_height = 180
+        # 绘制状态信息面板（左下角小窗口）
+        panel_width = 200
+        panel_height = 150
         panel_bg = np.zeros((panel_height, panel_width, 3), dtype=np.uint8)
         panel_bg[:] = (40, 40, 40)
 
@@ -1490,7 +1473,6 @@ class FaceRecognitionSystem:
 
         # WebSocket连接状态
         ws_status = "已连接" if self.ws_connected else "未连接"
-        ws_color = (0, 255, 0) if self.ws_connected else (0, 0, 255)
 
         status_texts = [
             f"质量: {self.display_info['quality']:.1f}",
@@ -1507,25 +1489,16 @@ class FaceRecognitionSystem:
             remaining = max(0, face_duration - elapsed)
             status_texts.append(f"识别倒计时: {remaining:.1f}秒")
 
-        # 使用PIL绘制中文状态文本
+        # 使用PIL绘制中文状态文本（全部使用浅灰色）
+        light_gray = (200, 200, 200)
         for i, text in enumerate(status_texts):
-            # WebSocket状态使用特殊颜色
-            if "WebSocket" in text:
-                panel_bg = self.cv2_add_chinese_text(
-                    panel_bg,
-                    text,
-                    (x_offset, y_offset + i * line_spacing),
-                    self.font_small,
-                    ws_color
-                )
-            else:
-                panel_bg = self.cv2_add_chinese_text(
-                    panel_bg,
-                    text,
-                    (x_offset, y_offset + i * line_spacing),
-                    self.font_small,
-                    (255, 255, 255)
-                )
+            panel_bg = self.cv2_add_chinese_text(
+                panel_bg,
+                text,
+                (x_offset, y_offset + i * line_spacing),
+                self.font_small,
+                light_gray
+            )
 
         # 将小面板叠加到画面左下角
         h, w = display_frame.shape[:2]