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2024-12-12 b095cfc785d4a280ffaae086503a6a0e4f1fa4c1

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149dd0	1	package com.iailab.netsdk.lib.enumeration;
H	2
	3	/**
	4	* @author 251823
	5	* @description 应用场景, 内容与EM_SCENE_CLASS_TYPE一致
	6	* @date 2021/01/16
	7	*/
	8	public enum EM_SCENE_TYPE {
	9
	10	// 未知
	11	EM_SCENE_UNKNOW(0, "未知"),
	12	// 普通场景
	13	EM_SCENE_NORMAL(1, "Normal"),
	14	// 交通场景
	15	EM_SCENE_TRAFFIC(2, "Traffic"),
	16	// 交通巡视
	17	EM_SCENE_TRAFFIC_PATROL(3, "TrafficPatrol"),
	18	// 目标检测/目标识别
	19	EM_SCENE_FACEDETECTION(4, "FaceDetection"),
	20	// ATM
	21	EM_SCENE_ATM(5, "ATM"),
	22	// 室内行为分析，和普通规则相同，对室内场景的算法优化版
	23	EM_SCENE_INDOOR(6, "Indoor"),
	24	// 目标识别
	25	EM_SCENE_FACERECOGNITION(7, "FaceRecognition"),
	26	//
	27	EM_SCENE_PS(8, ""),
	28	// 客流量统计
	29	EM_SCENE_NUMBERSTAT(9, "NumberStat"),
	30	// 热度图
	31	EM_SCENE_HEAT_MAP(10, "HeatMap"),
	32	// 视频诊断
	33	EM_SCENE_VIDEODIAGNOSIS(11, "VideoDiagnosis"),
	34	// 车辆特征检测分析
	35	EM_SCENE_VEHICLEANALYSE(12, "VehicleAnalyse"),
	36	// 自动录播
	37	EM_SCENE_COURSERECORD(13, "CourseRecord"),
	38	// 车载场景(车载行业用，不同于智能交通的Traffic)
	39	EM_SCENE_VEHICLE(14, "Vehicle"),
	40	// 起立检测
	41	EM_SCENE_STANDUPDETECTION(15, "StandUpDetection"),
	42	// 卡口
	43	EM_SCENE_GATE(16, "Gate"),
	44	// 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
	45	EM_SCENE_SDFACEDETECTION(17, "SDFaceDetect"),
	46	// 球机热度图计划
	47	EM_SCENE_HEAT_MAP_PLAN(18, "HeatMapPlan"),
	48	// 球机客流量统计计划
	49	EM_SCENE_NUMBERSTAT_PLAN(19, "NumberStatPlan"),
	50	// 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
	51	EM_SCENE_ATMFD(20, "ATMFD"),
	52	// 高速交通事件检测
	53	EM_SCENE_HIGHWAY(21, "Highway"),
	54	// 城市交通事件检测
	55	EM_SCENE_CITY(22, "City"),
	56	// 民用简易跟踪
	57	EM_SCENE_LETRACK(23, "LeTrack"),
	58	// 打靶相机
	59	EM_SCENE_SCR(24, "SCR"),
	60	// 立体视觉(双目)
	61	EM_SCENE_STEREO_VISION(25, "StereoVision"),
	62	// 人体检测
	63	EM_SCENE_HUMANDETECT(26, "HumanDetect"),
	64	// 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)
	65	EM_SCENE_FACEANALYSIS(27, "FaceAnalysis"),
	66	// X光检测
	67	EM_SCENE_XRAY_DETECTION(28, "XRayDetection"),
	68	// 双目相机客流量统计
	69	EM_SCENE_STEREO_NUMBER(29, "StereoNumber"),
	70	// 人群分布图
	71	EM_SCENE_CROWD_DISTRI_MAP(30, "CrowdDistriMap"),
	72	// 目标检测(含人机非等物体)
	73	EM_SCENE_OBJECTDETECT(31, "ObjectDetect"),
	74	// IVSS目标检测
	75	EM_SCENE_FACEATTRIBUTE(32, "FaceAttribute"),
	76	// IVSS目标识别
	77	EM_SCENE_FACECOMPARE(33, "FaceCompare"),
	78	// 立体行为分析(典型场景ATM舱)
	79	EM_SCENE_STEREO_BEHAVIOR(34, "StereoBehavior"),
	80	// 智慧城管
	81	EM_SCENE_INTELLICITYMANAGER(35, "IntelliCityMgr"),
	82	// 防护舱（ATM舱内）
	83	EM_SCENE_PROTECTIVECABIN(36, "ProtectiveCabin"),
	84	// 飞机行为检测
	85	EM_SCENE_AIRPLANEDETECT(37, "AirplaneDetect"),
	86	// 人群态势（人群分布图服务）
	87	EM_SCENE_CROWDPOSTURE(38, "CrowdPosture"),
	88	// 打电话检测
	89	EM_SCENE_PHONECALLDETECT(39, "PhoneCallDetect"),
	90	// 烟雾检测
	91	EM_SCENE_SMOKEDETECTION(40, "SmokeDetection"),
	92	// 船只检测
	93	EM_SCENE_BOATDETECTION(41, "BoatDetection"),
	94	// 吸烟检测
	95	EM_SCENE_SMOKINGDETECT(42, "SmokingDetect"),
	96	// 水利监测
	97	EM_SCENE_WATERMONITOR(43, "WaterMonitor"),
	98	// 生成图规则
	99	EM_SCENE_GENERATEGRAPHDETECTION(44, "GenerateGraphDetection"),
	100	// 交通停车
	101	EM_SCENE_TRAFFIC_PARK(45, "TrafficPark"),
	102	// 作业检测
	103	EM_SCENE_OPERATEMONITOR(46, "OperateMonitor"),
	104	// 智慧零售大类
	105	EM_SCENE_INTELLI_RETAIL(47, "IntelliRetail"),
	106	// 教育智慧课堂
	107	EM_SCENE_CLASSROOM_ANALYSE(48, "ClassroomAnalyse"),
	108	// 特征向量提取大类
	109	EM_SCENE_FEATURE_ABSTRACT(49, "FeatureAbstract"),
	110	// 人体检测
	111	EM_SCENE_FACEBODY_DETECT(50, "FaceBodyDetect"),
	112	// 人体识别
	113	EM_SCENE_FACEBODY_ANALYSE(51, "FaceBodyAnalyse"),
	114	// 车辆密度
	115	EM_SCENE_VEHICLES_DISTRI(52, "VehiclesDistri"),
	116	// 智慧养殖检测
	117	EM_SCENE_INTELLI_BREED(53, "IntelliBreed"),
	118	//
	119	EM_SCENE_INTELLI_PS(54, ""),
	120	// 电力检测
	121	EM_SCENE_ELECTRIC_DETECT(55, "ElectricDetect"),
	122	// 雷检检测
	123	EM_SCENE_RADAR_DETECT(56, "RadarDetect"),
	124	// 车位检测大类
	125	EM_SCENE_PARKINGSPACE(57, "ParkingSpace"),
	126	// 智慧金融
	127	EM_SCENE_INTELLI_FINANCE(58, "IntelliFinance"),
	128	// CrowdAbnormal
	129	EM_SCENE_CROWD_ABNORMAL(59, "CrowdAbnormal"),
	130	// 超温检测
	131	EM_SCENE_ANATOMYTEMP_DETECT(60, "AnatomyTempDetect"),
	132	// 天气监控
	133	EM_SCENE_WEATHER_MONITOR(61, "WeatherMonitor"),
	134	// 电梯门禁
	135	EM_SCENE_ELEVATOR_ACCESS_CONTROL(62, "ElevatorAccessControl"),
	136	// 违章建筑
	137	EM_SCENE_BREAK_RULE_BUILDING(63, "BreakRuleBuilding"),
	138	// 全景交通
	139	EM_SCENE_PANORAMA_TRAFFIC(64, "PanoramaTraffic"),
	140	// 人像检测
	141	EM_SCENE_PORTRAIT_DETECT(65, "PortraitDetect"),
	142	// 传送带阻塞
	143	EM_SCENE_CONVEY_OR_BLOCK(66, "ConveyorBlock"),
	144	// 厨房有害动物检测
	145	EM_SCENE_KITCHEN_ANIMAL(67, "KitchenAnimal"),
	146	// 万物检测
	147	EM_SCENE_ALLSEEINGEYE(68, "AllSeeingEye"),
	148	// 驾驶行为分析
	149	EM_SCENE_DRIVE(69, "Drive"),
	150	// 高级驾驶辅助系统
	151	EM_SCENE_DRIVEASSISTANT(70, "DriveAssistant"),
	152	// 车内驾驶舱监测
	153	EM_SCENE_INCABINMONITOR(71, "InCabinMonitor"),
	154	// 盲区检测
	155	EM_SCENE_BLINDSPOTDETECTION(72, "BlindSpotDetection");
	156
	157	private int value;
	158	private String note;
	159
	160	private EM_SCENE_TYPE(int givenValue, String note) {
	161	this.value = givenValue;
	162	this.note = note;
	163	}
	164
	165	public String getNote() {
	166	return note;
	167	}
	168
	169	public int getValue() {
	170	return value;
	171	}
	172
	173	public static String getNoteByValue(int givenValue) {
	174	for (EM_SCENE_TYPE enumType : EM_SCENE_TYPE.values()) {
	175	if (givenValue == enumType.getValue()) {
	176	return enumType.getNote();
	177	}
	178	}
	179	return null;
	180	}
	181
	182	public static int getValueByNote(String givenNote) {
	183	for (EM_SCENE_TYPE enumType : EM_SCENE_TYPE.values()) {
	184	if (givenNote.equals(enumType.getNote())) {
	185	return enumType.getValue();
	186	}
	187	}
	188	return -1;
	189	}
	190
	191	}