修改路径，从src放到根目录

algorithm/face_recognition_algorithm.py

@@ -0,0 +1,75 @@
+# face_recognition_algorithm.py
+from insightface.app import FaceAnalysis
+
+
+class FaceRecognitionAlgorithm:
+    """
+    人脸识别核心算法类
+    负责模型加载和设备配置，与业务逻辑分离
+    """
+
+    def __init__(self, model_name: str = 'buffalo_l', use_gpu: bool = True, use_npu: bool = False,
+                 npu_device_id: int = 0):
+        # 设备配置映射（NPU采用华为指定的完整参数）
+        self.DEVICE_CONFIG = {
+            "cpu": (['CPUExecutionProvider'], -1),
+            "gpu": (['CUDAExecutionProvider'], 0),
+            "npu": (
+                [
+                    (
+                        "CANNExecutionProvider",
+                        {
+                            "device_id": npu_device_id,
+                            "arena_extend_strategy": "kNextPowerOfTwo",
+                            "npu_mem_limit": 16 * 1024 * 1024 * 1024,
+                            "op_select_impl_mode": "high_precision",
+                            "precision_mode": "allow_fp32_to_fp16",
+                            "enable_cann_graph": True,
+                        },
+                    ),
+                    "CPUExecutionProvider"
+                ],
+                npu_device_id
+            )
+        }
+
+        # 算法参数设置
+        self.det_size = 640  # 320快速 640中等 1280慢
+        self.det_threshold = 0.5    # 人脸置信度
+
+        # 根据设备类型选择配置
+        if use_npu:
+            device_type = "npu"
+            print(f"✅ 使用NPU设备，设备ID: {npu_device_id}")
+        elif use_gpu:
+            device_type = "gpu"
+            print("✅ 使用GPU设备")
+        else:
+            device_type = "cpu"
+            print("✅ 使用CPU设备")
+
+        providers, ctx_id = self.DEVICE_CONFIG[device_type]
+
+        # 初始化人脸识别模型
+        self.app = FaceAnalysis(name=model_name, providers=providers)
+        self.app.prepare(
+            ctx_id=ctx_id,
+            det_thresh=self.det_threshold,
+            det_size=(self.det_size, self.det_size)
+        )
+
+        print(f"✅ 人脸识别算法初始化完成 - 设备: {device_type.upper()}")
+
+    def set_det_threshold(self, threshold: float):
+        """设置检测阈值"""
+        self.det_threshold = threshold
+        print(f"✅ 检测阈值设置为: {threshold}")
+
+    def set_det_size(self, size: int):
+        """设置检测尺寸"""
+        self.det_size = size
+        print(f"✅ 检测尺寸设置为: {size}")
+
+    def get_app(self) -> FaceAnalysis:
+        """获取底层的FaceAnalysis实例"""
+        return self.app