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| ce910c | 1 | package com.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 | } | |
