fix: MediaPipe 版本兼容性问题 - 移除初始化时的 mp.solutions 调用

person_manager.py

@@ -108,38 +108,26 @@ class PersonManager:
     
     def _init_detectors(self):
         """初始化检测器"""
-        # MediaPipe 人脸检测（方案1: 参数调整）
-        if self.has_mediapipe:
-            try:
-                mp_face_detection = mp.solutions.face_detection
-                self.face_detector = mp_face_detection.FaceDetection(
-                    model_selection=self.config['mediapipe_model_selection'],  # 远距离模型
-                    min_detection_confidence=self.config['mediapipe_min_confidence']  # 降低阈值
-                )
-                self.mp_face_detection = mp_face_detection
-                print(f"[PersonManager] MediaPipe initialized (model={self.config['mediapipe_model_selection']}, conf={self.config['mediapipe_min_confidence']})")
-            except Exception as e:
-                print(f"[PersonManager] MediaPipe init failed: {e}")
-                self.face_detector = None
-                self.has_mediapipe = False
+        # MediaPipe 人脸检测（目前不使用，由 YOLO 负责）
+        self.face_detector = None
+        self.mp_face_detection = None
         
         # OpenCV 人脸检测（备用）
+        self.cv_face_detector = None
         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 Haar Cascade initialized (backup)")
         except Exception as e:
-            self.cv_face_detector = None
             print(f"[PersonManager] OpenCV detector init failed: {e}")
         
-        # 方案3: YOLO 检测（更准确）
+        # YOLO 检测（主要检测器）
         self.yolo_detector = None
         try:
             from ultralytics import YOLO
-            # 使用轻量级 nano 模型
-            self.yolo_detector = YOLO('yolov8n.pt')  # nano 模型，快速
-            print("[PersonManager] YOLOv8nano initialized (most accurate)")
+            self.yolo_detector = YOLO('yolov8n.pt')
+            print("[PersonManager] YOLOv8nano initialized (primary detector)")
         except ImportError:
             print("[PersonManager] YOLO not installed. Install with: pip install ultralytics")
         except Exception as e:
@@ -229,11 +217,12 @@ class PersonManager:
         # 方法2: MediaPipe 人脸关键点
         if encoding is None and self.has_mediapipe:
             try:
-                mp_face_mesh = mp.solutions.face_mesh
+                import mediapipe as mp_local
+                mp_face_mesh = mp_local.solutions.face_mesh
                 face_mesh = mp_face_mesh.FaceMesh(
                     static_image_mode=True,
                     max_num_faces=1,
-                    min_detection_confidence=self.config.get('mediapipe_min_confidence', 0.3)
+                    min_detection_confidence=self.config.get('yolo_min_confidence', 0.3)
                 )
                 
                 rgb_face = cv2.cvtColor(face_region, cv2.COLOR_BGR2RGB)
@@ -330,7 +319,8 @@ class PersonManager:
         # 方法2：使用 MediaPipe 人脸关键点（推荐）
         if self.has_mediapipe:
             try:
-                mp_face_mesh = mp.solutions.face_mesh
+                import mediapipe as mp_local
+                mp_face_mesh = mp_local.solutions.face_mesh
                 face_mesh = mp_face_mesh.FaceMesh(static_image_mode=True, max_num_faces=1)
                 
                 rgb_face = cv2.cvtColor(face_image, cv2.COLOR_BGR2RGB)
@@ -346,7 +336,8 @@ class PersonManager:
                     
                     face_mesh.close()
                     return np.array(features)
-            except:
+            except Exception as e:
+                print(f"[PersonManager] MediaPipe face_mesh failed: {e}")
                 pass
         
         # 方法3：使用颜色直方图（最简单，备用）