重构: 模型类别配置动态化，适配 v2+ (5 类) 模型

- settings.py: 删除 80 类 COCO_CLASS_NAMES 硬编码，改为 MODEL_CLASS_NAMES
  + 新增 MODEL_NUM_CLASSES / MODEL_OUTPUT_CHANNELS 辅助常量
  + 新增 ALGO_INTENT_CLASSES 字典 + get_algo_target_classes() 辅助函数
  + COCO_CLASS_NAMES 保留名称向后兼容，指向 MODEL_CLASS_NAMES

- postprocessor.py: 4 处硬编码 84 → MODEL_OUTPUT_CHANNELS
  + 支持不同类别数模型切换不改代码

- algorithms.py: 4 处硬编码 target_classes 默认值 → get_algo_target_classes()
  + IllegalParkingAlgorithm / VehicleCongestionAlgorithm /
    NonMotorVehicleParkingAlgorithm / GarbageDetectionAlgorithm
  + 自动过滤当前模型不支持的类（truck/bus 等）

以后换模型只需修改 settings.py 一处 MODEL_CLASS_NAMES。

config/settings.py

@@ -143,19 +143,40 @@ class DebugConfig:
     local_config_path: str = "./config/local_config.json"
 
 
-# COCO 数据集类别名称（YOLO 模型使用）
-COCO_CLASS_NAMES = [
-    "person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat",
-    "traffic light", "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat",
-    "dog", "horse", "sheep", "cow", "elephant", "bear", "zebra", "giraffe", "backpack",
-    "umbrella", "handbag", "tie", "suitcase", "frisbee", "skis", "snowboard", "sports ball",
-    "kite", "baseball bat", "baseball glove", "skateboard", "surfboard", "tennis racket",
-    "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
-    "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake",
-    "chair", "couch", "potted plant", "bed", "dining table", "toilet", "tv", "laptop",
-    "mouse", "remote", "keyboard", "cell phone", "microwave", "oven", "toaster", "sink",
-    "refrigerator", "book", "clock", "vase", "scissors", "teddy bear", "hair drier", "toothbrush"
-]
+# 模型类别配置（支持不同模型切换，修改此处即可）
+# 当前: yolo11s_v2plus_20260421 (5 类定制模型)
+# 历史: yolo11n 官方 (80 类 COCO)，列表见 git 历史
+MODEL_CLASS_NAMES = ["garbage", "person", "car", "bicycle", "motorcycle"]
+MODEL_NUM_CLASSES = len(MODEL_CLASS_NAMES)  # 模型类别数
+MODEL_OUTPUT_CHANNELS = 4 + MODEL_NUM_CLASSES  # YOLO 输出通道 = 4(xywh) + nc
+
+# 向后兼容：保留 COCO_CLASS_NAMES 名称，指向当前模型类别
+COCO_CLASS_NAMES = MODEL_CLASS_NAMES
+
+
+# 各算法的业务关注类别（全集，不限定当前模型是否支持）
+# 部署时通过 get_algo_target_classes() 自动过滤出当前模型支持的子集
+ALGO_INTENT_CLASSES = {
+    "leave_post": ["person"],
+    "intrusion": ["person"],
+    "illegal_parking": ["car", "truck", "bus"],
+    "vehicle_congestion": ["car", "truck", "bus", "motorcycle"],
+    "non_motor_vehicle_parking": ["bicycle", "motorcycle"],
+    "garbage": ["garbage"],
+}
+
+
+def get_algo_target_classes(algo_code: str) -> list:
+    """获取算法的目标类别，自动过滤出当前模型支持的类
+
+    Args:
+        algo_code: 算法代码 (leave_post / intrusion / illegal_parking / ...)
+
+    Returns:
+        目标类名列表，保证每个类都在 MODEL_CLASS_NAMES 中
+    """
+    intent = ALGO_INTENT_CLASSES.get(algo_code, [])
+    return [c for c in intent if c in MODEL_CLASS_NAMES]
 
 
 @dataclass