fix: Windows start.bat 中文编码 + MediaPipe 兼容性修复

person_manager.py

@@ -42,6 +42,12 @@ class PersonManager:
         # 加载人员库
         self.persons = self._load_persons_db()
         
+        # 检测器状态
+        self.face_detector = None
+        self.mp_face_detection = None
+        self.cv_face_detector = None
+        self.has_mediapipe = HAS_MEDIAPIPE
+        
         # 初始化检测器
         self._init_detectors()
         
@@ -75,22 +81,30 @@ class PersonManager:
     def _init_detectors(self):
         """初始化检测器"""
         # MediaPipe 人脸检测
-        if HAS_MEDIAPIPE:
-            self.mp_face_detection = mp.solutions.face_detection
-            self.face_detector = self.mp_face_detection.FaceDetection(
-                model_selection=0,  # 0: 短距离，1: 远距离
-                min_detection_confidence=0.5
-            )
-            print("[PersonManager] MediaPipe face detector initialized")
-        else:
-            # OpenCV DNN 人脸检测
+        if self.has_mediapipe:
             try:
-                model_path = cv2.data.haarcascades + 'haarcascade_frontalface_default.xml'
+                # 使用更安全的导入方式
+                mp_face_detection = mp.solutions.face_detection
+                self.face_detector = mp_face_detection.FaceDetection(
+                    model_selection=0,  # 0: 短距离，1: 远距离
+                    min_detection_confidence=0.5
+                )
+                self.mp_face_detection = mp_face_detection
+                print("[PersonManager] MediaPipe face detector initialized")
+            except Exception as e:
+                print(f"[PersonManager] MediaPipe init failed: {e}")
+                self.face_detector = None
+                self.has_mediapipe = False
+        
+        # OpenCV 人脸检测（备用）
+        try:
+            model_path = cv2.data.haarcascades + 'haarcascade_frontalface_default.xml'
+            if Path(model_path).exists():
                 self.cv_face_detector = cv2.CascadeClassifier(model_path)
-                print("[PersonManager] OpenCV face detector initialized")
-            except:
-                self.cv_face_detector = None
-                print("[PersonManager] No face detector available")
+                print("[PersonManager] OpenCV face detector initialized (backup)")
+        except Exception as e:
+            self.cv_face_detector = None
+            print(f"[PersonManager] OpenCV face detector init failed: {e}")
     
     def detect_faces(self, image):
         """检测人脸
@@ -110,7 +124,7 @@ class PersonManager:
         faces = []
         
         # MediaPipe 检测
-        if HAS_MEDIAPIPE and hasattr(self, 'face_detector'):
+        if self.has_mediapipe and self.face_detector is not None:
             rgb_image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
             results = self.face_detector.process(rgb_image)
             
@@ -190,7 +204,7 @@ class PersonManager:
                 pass
         
         # 方法2：使用 MediaPipe 人脸关键点（推荐）
-        if HAS_MEDIAPIPE:
+        if self.has_mediapipe:
             try:
                 mp_face_mesh = mp.solutions.face_mesh
                 face_mesh = mp_face_mesh.FaceMesh(static_image_mode=True, max_num_faces=1)