添加调试日志

config.yaml

@@ -42,8 +42,8 @@ face_detection:
   quality_threshold: 10  # 图像质量阈值(Laplacian方差)
   min_face_size: 80  # 最小人脸尺寸(像素)
   face_present_duration: 2.0  # 持续出现时长(秒)才触发识别
-  max_yaw: 30.0  # 最大允许的偏航角(度)，超过此角度视为侧脸
-  max_pitch: 30.0  # 最大允许的俯仰角(度)，超过此角度视为抬头或低头
+  max_yaw: 60.0  # 最大允许的偏航角(度)，超过此角度视为侧脸
+  max_pitch: 60.0  # 最大允许的俯仰角(度)，超过此角度视为抬头或低头
 
 # 人脸识别配置
 face_recognition:
@@ -58,7 +58,7 @@ role_mapping:
 
 # 日志配置
 logging:
-  level: "INFO"  # DEBUG, INFO, WARNING, ERROR
+  level: "DEBUG"  # DEBUG, INFO, WARNING, ERROR
   file: "face_recognition.log"
   max_bytes: 10485760  # 10MB
   backup_count: 5

face_rec.py

@@ -1245,11 +1245,8 @@ class FaceRecognitionSystem:
             # 将帧编码为JPEG
             _, img_encoded = cv2.imencode('.jpg', frame)
 
-            # 调用CompreFace检测API，启用pose插件
-            result = self.detection_service.detect(
-                img_encoded.tobytes(),
-                face_plugins="pose"
-            )
+            # 调用CompreFace检测API
+            result = self.detection_service.detect(img_encoded.tobytes())
 
             if result and 'result' in result and len(result['result']) > 0:
                 faces = result['result']
@@ -1268,17 +1265,11 @@ class FaceRecognitionSystem:
                     face_height = face['box']['y_max'] - face['box']['y_min']
                     
                     if face_width >= min_size and face_height >= min_size:
-                        # 检查人脸角度
-                        pose = face.get('pose', {})
-                        yaw = pose.get('yaw', 0.0)
-                        pitch = pose.get('pitch', 0.0)
-                        
-                        # 判断是否为正脸
-                        if abs(yaw) <= max_yaw and abs(pitch) <= max_pitch:
-                            valid_faces.append(face)
-                            self.logger.debug(f"人脸角度检查通过: yaw={yaw:.1f}°, pitch={pitch:.1f}°")
-                        else:
-                            self.logger.debug(f"人脸角度超出范围，跳过: yaw={yaw:.1f}°(阈值±{max_yaw}°), pitch={pitch:.1f}°(阈值±{max_pitch}°)")
+                        # 临时记录face数据，查看是否有pose信息
+                        self.logger.debug(f"检测到人脸数据: {list(face.keys())}")
+                        if 'pose' in face:
+                            self.logger.debug(f"Pose数据: {face['pose']}")
+                        valid_faces.append(face)
 
                 if valid_faces:
                     # 返回第一个(最大的)人脸