package com.iailab.netsdk.lib.enumeration; /** * @author 251823 * @description 应用场景, 内容与EM_SCENE_CLASS_TYPE一致 * @date 2021/01/16 */ public enum EM_SCENE_TYPE { // 未知 EM_SCENE_UNKNOW(0, "未知"), // 普通场景 EM_SCENE_NORMAL(1, "Normal"), // 交通场景 EM_SCENE_TRAFFIC(2, "Traffic"), // 交通巡视 EM_SCENE_TRAFFIC_PATROL(3, "TrafficPatrol"), // 目标检测/目标识别 EM_SCENE_FACEDETECTION(4, "FaceDetection"), // ATM EM_SCENE_ATM(5, "ATM"), // 室内行为分析,和普通规则相同,对室内场景的算法优化版 EM_SCENE_INDOOR(6, "Indoor"), // 目标识别 EM_SCENE_FACERECOGNITION(7, "FaceRecognition"), // EM_SCENE_PS(8, ""), // 客流量统计 EM_SCENE_NUMBERSTAT(9, "NumberStat"), // 热度图 EM_SCENE_HEAT_MAP(10, "HeatMap"), // 视频诊断 EM_SCENE_VIDEODIAGNOSIS(11, "VideoDiagnosis"), // 车辆特征检测分析 EM_SCENE_VEHICLEANALYSE(12, "VehicleAnalyse"), // 自动录播 EM_SCENE_COURSERECORD(13, "CourseRecord"), // 车载场景(车载行业用,不同于智能交通的Traffic) EM_SCENE_VEHICLE(14, "Vehicle"), // 起立检测 EM_SCENE_STANDUPDETECTION(15, "StandUpDetection"), // 卡口 EM_SCENE_GATE(16, "Gate"), // 多预置点目标检测,配置一条规则但可以在不同预置点下生效 EM_SCENE_SDFACEDETECTION(17, "SDFaceDetect"), // 球机热度图计划 EM_SCENE_HEAT_MAP_PLAN(18, "HeatMapPlan"), // 球机客流量统计计划 EM_SCENE_NUMBERSTAT_PLAN(19, "NumberStatPlan"), // 金融目标检测,包括正常人脸、异常人脸、相邻人脸、头盔人脸等针对ATM场景特殊优化 EM_SCENE_ATMFD(20, "ATMFD"), // 高速交通事件检测 EM_SCENE_HIGHWAY(21, "Highway"), // 城市交通事件检测 EM_SCENE_CITY(22, "City"), // 民用简易跟踪 EM_SCENE_LETRACK(23, "LeTrack"), // 打靶相机 EM_SCENE_SCR(24, "SCR"), // 立体视觉(双目) EM_SCENE_STEREO_VISION(25, "StereoVision"), // 人体检测 EM_SCENE_HUMANDETECT(26, "HumanDetect"), // 人脸分析(同时支持目标检测、目标识别、人脸属性等综合型业务) EM_SCENE_FACEANALYSIS(27, "FaceAnalysis"), // X光检测 EM_SCENE_XRAY_DETECTION(28, "XRayDetection"), // 双目相机客流量统计 EM_SCENE_STEREO_NUMBER(29, "StereoNumber"), // 人群分布图 EM_SCENE_CROWD_DISTRI_MAP(30, "CrowdDistriMap"), // 目标检测(含人机非等物体) EM_SCENE_OBJECTDETECT(31, "ObjectDetect"), // IVSS目标检测 EM_SCENE_FACEATTRIBUTE(32, "FaceAttribute"), // IVSS目标识别 EM_SCENE_FACECOMPARE(33, "FaceCompare"), // 立体行为分析(典型场景ATM舱) EM_SCENE_STEREO_BEHAVIOR(34, "StereoBehavior"), // 智慧城管 EM_SCENE_INTELLICITYMANAGER(35, "IntelliCityMgr"), // 防护舱(ATM舱内) EM_SCENE_PROTECTIVECABIN(36, "ProtectiveCabin"), // 飞机行为检测 EM_SCENE_AIRPLANEDETECT(37, "AirplaneDetect"), // 人群态势(人群分布图服务) EM_SCENE_CROWDPOSTURE(38, "CrowdPosture"), // 打电话检测 EM_SCENE_PHONECALLDETECT(39, "PhoneCallDetect"), // 烟雾检测 EM_SCENE_SMOKEDETECTION(40, "SmokeDetection"), // 船只检测 EM_SCENE_BOATDETECTION(41, "BoatDetection"), // 吸烟检测 EM_SCENE_SMOKINGDETECT(42, "SmokingDetect"), // 水利监测 EM_SCENE_WATERMONITOR(43, "WaterMonitor"), // 生成图规则 EM_SCENE_GENERATEGRAPHDETECTION(44, "GenerateGraphDetection"), // 交通停车 EM_SCENE_TRAFFIC_PARK(45, "TrafficPark"), // 作业检测 EM_SCENE_OPERATEMONITOR(46, "OperateMonitor"), // 智慧零售大类 EM_SCENE_INTELLI_RETAIL(47, "IntelliRetail"), // 教育智慧课堂 EM_SCENE_CLASSROOM_ANALYSE(48, "ClassroomAnalyse"), // 特征向量提取大类 EM_SCENE_FEATURE_ABSTRACT(49, "FeatureAbstract"), // 人体检测 EM_SCENE_FACEBODY_DETECT(50, "FaceBodyDetect"), // 人体识别 EM_SCENE_FACEBODY_ANALYSE(51, "FaceBodyAnalyse"), // 车辆密度 EM_SCENE_VEHICLES_DISTRI(52, "VehiclesDistri"), // 智慧养殖检测 EM_SCENE_INTELLI_BREED(53, "IntelliBreed"), // EM_SCENE_INTELLI_PS(54, ""), // 电力检测 EM_SCENE_ELECTRIC_DETECT(55, "ElectricDetect"), // 雷检检测 EM_SCENE_RADAR_DETECT(56, "RadarDetect"), // 车位检测大类 EM_SCENE_PARKINGSPACE(57, "ParkingSpace"), // 智慧金融 EM_SCENE_INTELLI_FINANCE(58, "IntelliFinance"), // CrowdAbnormal EM_SCENE_CROWD_ABNORMAL(59, "CrowdAbnormal"), // 超温检测 EM_SCENE_ANATOMYTEMP_DETECT(60, "AnatomyTempDetect"), // 天气监控 EM_SCENE_WEATHER_MONITOR(61, "WeatherMonitor"), // 电梯门禁 EM_SCENE_ELEVATOR_ACCESS_CONTROL(62, "ElevatorAccessControl"), // 违章建筑 EM_SCENE_BREAK_RULE_BUILDING(63, "BreakRuleBuilding"), // 全景交通 EM_SCENE_PANORAMA_TRAFFIC(64, "PanoramaTraffic"), // 人像检测 EM_SCENE_PORTRAIT_DETECT(65, "PortraitDetect"), // 传送带阻塞 EM_SCENE_CONVEY_OR_BLOCK(66, "ConveyorBlock"), // 厨房有害动物检测 EM_SCENE_KITCHEN_ANIMAL(67, "KitchenAnimal"), // 万物检测 EM_SCENE_ALLSEEINGEYE(68, "AllSeeingEye"), // 驾驶行为分析 EM_SCENE_DRIVE(69, "Drive"), // 高级驾驶辅助系统 EM_SCENE_DRIVEASSISTANT(70, "DriveAssistant"), // 车内驾驶舱监测 EM_SCENE_INCABINMONITOR(71, "InCabinMonitor"), // 盲区检测 EM_SCENE_BLINDSPOTDETECTION(72, "BlindSpotDetection"); private int value; private String note; private EM_SCENE_TYPE(int givenValue, String note) { this.value = givenValue; this.note = note; } public String getNote() { return note; } public int getValue() { return value; } public static String getNoteByValue(int givenValue) { for (EM_SCENE_TYPE enumType : EM_SCENE_TYPE.values()) { if (givenValue == enumType.getValue()) { return enumType.getNote(); } } return null; } public static int getValueByNote(String givenNote) { for (EM_SCENE_TYPE enumType : EM_SCENE_TYPE.values()) { if (givenNote.equals(enumType.getNote())) { return enumType.getValue(); } } return -1; } }