From cefc5d733cdf7fa09e5b6479886d3a8f08c958d9 Mon Sep 17 00:00:00 2001
From: Tian jianyong <11429339@qq.com>
Date: Sun, 28 Dec 2025 17:53:11 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E6=94=B9=E6=A4=AD=E5=9C=86=E5=A4=A7?=
 =?UTF-8?q?=E5=B0=8F=EF=BC=8C=E4=BF=AE=E6=AD=A3=E6=8D=95=E6=8D=89=E6=A1=86?=
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---
 face_rec.py | 32 ++++++++++++++++----------------
 1 file changed, 16 insertions(+), 16 deletions(-)

diff --git a/face_rec.py b/face_rec.py
index 2c4f37a..729cb31 100644
--- a/face_rec.py
+++ b/face_rec.py
@@ -1279,7 +1279,7 @@ class FaceRecognitionSystem:
         img = cv2.cvtColor(np.array(img_pil), cv2.COLOR_RGB2BGR)
         return img
 
-    def draw_info_on_frame(self, frame: np.ndarray) -> np.ndarray:
+    def draw_info_on_frame(self, frame: np.ndarray, mirrored: bool = False) -> np.ndarray:
         """在帧上绘制检测和识别信息"""
         display_frame = frame.copy()
         h, w = display_frame.shape[:2]
@@ -1292,6 +1292,11 @@ class FaceRecognitionSystem:
             x_max = int(box['x_max'])
             y_max = int(box['y_max'])
 
+            # 镜像翻转时调整坐标
+            if mirrored:
+                x_min = w - 1 - x_max
+                x_max = w - 1 - x_min
+
             # 根据识别状态选择颜色
             if self.display_info['person_name']:
                 # 已识别 - 绿色
@@ -1815,17 +1820,8 @@ class FaceRecognitionSystem:
                 # 镜像翻转：使画面与实际场景一致（在绘制信息之前）
                 frame = cv2.flip(frame, 1)
 
-                # 调整人脸框坐标以适应镜像翻转
-                if self.display_info['face_box']:
-                    h, w = frame.shape[:2]
-                    box = self.display_info['face_box']
-                    x_min = int(box['x_min'])
-                    x_max = int(box['x_max'])
-                    # 水平翻转坐标：new_x = width - 1 - old_x
-                    self.display_info['face_box']['x_min'] = w - 1 - x_max
-                    self.display_info['face_box']['x_max'] = w - 1 - x_min
-
-                # 绘制信息
+                # 绘制信息（传入镜像状态，由 draw_info_on_frame 内部处理坐标翻转）
+                display_frame = self.draw_info_on_frame(frame, mirrored=True)
                 display_frame = self.draw_info_on_frame(frame)
 
                 # 绘制人脸轮廓引导框（屏幕中央）
@@ -1833,11 +1829,15 @@ class FaceRecognitionSystem:
                 center_x = w // 2
                 center_y = h // 2
                 # 椭圆参数：中心点、长轴、短轴、旋转角度、起始角度、结束角度
-                cv2.ellipse(display_frame, (center_x, center_y), (120, 160), 0, 0, 360, (0, 200, 0), 2)
+                cv2.ellipse(display_frame, (center_x, center_y), (75, 100), 0, 0, 360, (0, 200, 0), 2)
 
-                # 添加提示文字
-                cv2.putText(display_frame, "请将脸部对准圆圈内", (center_x - 100, center_y + 200),
-                           cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 200, 0), 2)
+                # 添加提示文字（使用中文支持函数）
+                guide_text = "请将脸部对准圆圈内"
+                # 计算文字居中位置
+                text_size = cv2.getTextSize(guide_text, cv2.FONT_HERSHEY_SIMPLEX, 0.8, 2)[0]
+                text_x = center_x - text_size[0] // 2
+                text_y = center_y + 150
+                display_frame = self.cv2_add_chinese_text(display_frame, guide_text, (text_x, text_y), self.font_medium, (0, 200, 0))
 
                 # 使用缓存的屏幕尺寸拉伸视频帧到全屏
                 display_frame = cv2.resize(display_frame, (self.screen_width, self.screen_height), interpolation=cv2.INTER_LINEAR)