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