package ruleserver import ( "basic.com/pubsub/cache.git/esutil" bigCache "basic.com/pubsub/cache.git" "basic.com/pubsub/protomsg.git" "encoding/json" "fmt" "github.com/go-yaml/yaml" "io/ioutil" "os" "ruleprocess/cache" "ruleprocess/logger" "strconv" "time" ) var serverIp,serverPort,dbTablePersons string type conf struct { PhotoUrl string `yaml:"photoUrl"` Videopersons string `yaml:"videoPersons"` Personaction string `yaml:"personAction"` Serverip string `yaml:"serverIp"` Serverport string `yaml:"serverPort"` Dbtablepersons string `yaml:"dbTablePersons"` } func Init() { data, err := ioutil.ReadFile("./config/conf.yml") if err != nil { fmt.Println("读取配置文件出错--", err) logger.Error("读取配置文件出错--", err) } c := conf{} //把yaml形式的字符串解析成struct类型 yaml.Unmarshal(data, &c) serverIp = c.Serverip serverPort = c.Serverport dbTablePersons = c.Dbtablepersons localConfig, err1 := cache.GetServerInfo() if err1 != nil { logger.Error("查询本机信息失败!") } logger.Debug("本机信息和server信息:",localConfig,serverIp,serverPort) bigCache.Init(dbTablePersons,serverIp,serverPort,localConfig.ServerId) } type BaseInfo struct { TableId string `json:"tableId"` TableName string `json:"tableName"` BwType string `json:"bwType"` CompareScore float64 `json:"compareScore"` PersonId string `json:"personId"` PersonName string `json:"personName"` PersonPicUrl string `json:"personPicUrl"` PhoneNum string `json:"phoneNum"` Sex string `json:"sex"` IdCard string `json:"idCard"` MonitorLevel string `json:"monitorLevel"` Content string `json:"content"` } // 以摄像机id查出跟其相关的所有任务下的所有规则组 func GetRuleGroup(cameraId string,taskId string) *protomsg.TaskGroupArgs { all := cache.GetCameraTaskRulesByCameraId(cameraId) //logger.Info("==================所有的任务的规则组:",all) var taskGroup *protomsg.TaskGroupArgs for _,task := range all { if task.TaskId == taskId { taskGroup = task } } return taskGroup } // 根据摄像机id拿到摄像机所有区域 func GetPolygons(cameraId string) []protomsg.CameraPolygon { var cameraPolygons []protomsg.CameraPolygon cameraPolygons = cache.GetPolygonsByCameraId(cameraId) logger.Debug("------=======查看下全部区域:",cameraPolygons) return cameraPolygons } // 保留四位小数 func Retain(f float32)(float32) { s:= strconv.FormatFloat(float64(f), 'f', 4, 64) v, err := strconv.ParseFloat(s, 32) if err != nil { logger.Error("保留四位小数转换错误") } return float32(v) } // 取出某个时间规则的第几天的规则段集合 func GetTimeById(id string, index int) []TimeRange { _, cameraTimeRule := cache.GetTimeRuleById(id) var timeRangeList []day err := json.Unmarshal([]byte(cameraTimeRule.TimeRule), &timeRangeList) if err != nil { logger.Error("取时间规则时反序列化错误!") } for _, timerange := range timeRangeList { if timerange.Day == index { //logger.Println("取到的时间规则:", timerange.TimeRange) return timerange.TimeRange } } return nil } // 根据传入的字符串得到其在一周内的索引 周一到周日分别对应1到7 func getIndexOfWeek(weekday string) int { var weekdays = [7]string{"Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"} for k, value := range weekdays { if value == weekday { return k + 1 // 因为数据库中存的是1-7代表的周一到周日 } } return 0 } type TimeRange struct { Start string `json:"start"` End string `json:"end"` } type day struct { Day int `json:"day"` // 标示当前星期几 TimeRange []TimeRange `json:"time_range"` // 当天的几个时间段 } // 将字符串格式的坐标序列化为Point格式 func Json2points(areaPoints string) []Point { var pts []Point if areaPoints == "[]" || areaPoints == ""{ logger.Error("=====================此区域为全部区域") pts = append(pts, Point{0, 0}) pts = append(pts, Point{0, 540}) pts = append(pts, Point{960, 540}) pts = append(pts, Point{960, 0}) } else { err := json.Unmarshal([]byte(areaPoints), &pts) if err != nil { logger.Error("json.Unmarshal错误", err) panic("序列化坐标异常,程序退出") } } return pts } // 给目标填充liker func (arg *Arg) fillLiker(tableId []string,compareThreshold float32) { fmt.Println("---------------------------------看看那三个混蛋:",dbTablePersons,serverIp,serverPort) bytes := bigCache.GetComparePersonBaseInfo(tableId,arg.Feature,compareThreshold) var m map[string]float32 err1 := json.Unmarshal(bytes, &m) if err1 != nil { logger.Error("getBaseInfo解压错误", err1) } //logger.Info("----------------------------------------map是", m) ids := []string{} for key,_ := range m { ids = append(ids,key) } logger.Info("------------------------------------------------------------------------------------------------------------------------") logger.Info("=====================人员id的集合为:",ids) if len(ids) > 0 { baseinfos, err1 := esutil.Dbpersoninfosbyid(ids,dbTablePersons,serverIp,serverPort) if err1 != nil { logger.Error("查询底库人员信息出错", err1) } logger.Debug("----------------++++++++++++++++++++底库人员信息:",baseinfos) for _,baseinfo := range baseinfos { // 根据tableId查询底库信息给liker赋值 logger.Info("---------看看每个底库人员的信息:",baseinfo.Id,baseinfo.PersonName) var tableIds []string tableIds = append(tableIds,baseinfo.TableId) // 虽然是传入数组返回数组的接口,但我按单个的使用了 table,err := esutil.Dbtablefosbyid(tableIds,dbTablePersons,serverIp,serverPort) if err != nil { logger.Error("根据id查询底库信息出错!") } base := BaseInfo{TableId:baseinfo.TableId,TableName:table[0].TableName,BwType:table[0].BwType,CompareScore:float64(m[baseinfo.Id]),PersonId:baseinfo.Id,PersonName:baseinfo.PersonName,PersonPicUrl:baseinfo.PersonPicUrl,PhoneNum:baseinfo.PhoneNum,Sex:baseinfo.Sex,MonitorLevel:baseinfo.MonitorLevel,Content:""} arg.Liker = append(arg.Liker, &base) } } os.Exit(1) } // 人脸比对 func Compare(args *SdkDatas, groupRule *protomsg.GroupRule) { compareFlag := 0 var tableIds []string var threshold float32 = 0.2 // 看看是否有只配人脸比对算法但没有配对比库的规则,如果有,则比对对象为全部底库 for j := 0; j < len(groupRule.Rules); j++ { if groupRule.Rules[j].SdkId == "812b674b-2375-4589-919a-5c1c3278a972" { // 配了人脸比对 if groupRule.Rules[j].SdkArgAlias == "compareBase" && groupRule.Rules[j].SdkArgValue != "" { // 配了比对底库的参数但没有配全部底库 compareFlag = 2 tableIds = append(tableIds,groupRule.Rules[j].SdkArgValue)// 最后会多一个tableId,切出来的数组取len-1就可以 } if groupRule.Rules[j].SdkArgAlias == "compareBase" && groupRule.Rules[j].SdkArgValue == "" { // 配的参数是比对全部底库 compareFlag = 1 } if groupRule.Rules[j].SdkArgAlias == "threshold" { v2, err := strconv.ParseFloat(groupRule.Rules[j].SdkArgValue, 32) if err != nil { logger.Error("string转float32失败!") } threshold = float32(v2) } } } // 为了测试作下弊,直接让其比对全部底库 //compareFlag = 1 if compareFlag == 0 { logger.Info("没有配置对比底库参数") //return } logger.Debug("=====配置的阈值为:",threshold) for j := 0; j < len(groupRule.Rules); j++ { if groupRule.Rules[j].SdkId == "812b674b-2375-4589-919a-5c1c3278a972" { for _, sdkData := range args.Sdkdata { if sdkData.IpcId == "A8B73405-373D-4F23-CED2-A617EBD7EC55" { // 搜索到人脸检测的sdkdata 现在关于人脸的只有他一个sdk,全找他 logger.Info("============================================进行人脸对比") for _, areaMap := range sdkData.AreaMapList { logger.Info("-------------人脸比对之前目标数量",len(areaMap.args)) // 拿区域中每个人脸特征值去对比,填充其liker logger.Debug("----看看两个区域id是否一致:",groupRule.Rules[j].PolygonId,areaMap.areaId) if groupRule.Rules[j].PolygonId == areaMap.areaId { logger.Info("--------------看看compareFlag的值和tableId:",compareFlag,tableIds) for _, arg := range areaMap.args { if compareFlag == 1 { arg.fillLiker(nil,threshold) } if compareFlag == 2 { arg.fillLiker(tableIds,threshold) } logger.Info("-------------------成功给liker赋值,长度为:", len(arg.Liker)) } areaMap.filterData = areaMap.args //logger.Info("=======第一次看args:",(areaMap.filterData)) } logger.Info("-------------------------------人脸对比之后的目标数量",len(areaMap.args)) } } } } } } // 计算区域内的目标数量以及将相似度、占比、尺寸等打包 func (a *AreaMap) CountAreaObjs(arg *SdkData) { a.targetNum = 0 threshold := 0.0 // 相似度 intersectionper := 0.2 // 占比 size := 0.0 // 尺寸 areaPoints := Json2points(a.areaJson) widthScale := float64(arg.ImageWidth / 960) heigthScale := float64(arg.ImageHeight / 540) for _, obj := range arg.Photo { //logger.Info("------------------看看sdkData:", arg.SdkName, "的Photo数据----------------", obj, "----顺便看看占比-----:", PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale)) if threshold <= obj.Score && size <= float64(obj.Rects.Width*obj.Rects.Height) && intersectionper <= PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale) { // 这步要备齐表达式里所需要的所有参数 a.targetNum++ arg1 := Arg{obj.Score, PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale), float64(obj.Rects.Width * obj.Rects.Height), obj.IsYolo, obj.Rects, obj.Feature, obj.ThftRes, []*BaseInfo{}} //logger.Println("放进去的arg:-------", arg1) a.args = append(a.args, &arg1) a.filterData = append(a.filterData, &arg1) } } a.time = time.Unix(time.Now().Unix(), 0).String()[11:16] a.keepRight = arg.KeepRight a.isStatic = arg.IsStatic //logger.Println("--------------------看看区域数据:",*a) } // 把sdk从数据帧上提取的按照区域分类归置 func SdkDataFormat(cameraId string, arg *SdkData, cameraPolygons []protomsg.CameraPolygon) { logger.Info("==================================本sdkData中解出来的目标数据=======================================") for _, photo := range arg.Photo { logger.Info("--------解析出来的数据---", cameraId, arg.IpcId, photo.Rects, photo.Score) } for _, polygon := range cameraPolygons { //logger.Println("++++++在这儿看一下区域啊:", polygon.Polygon) areaMap := AreaMap{cameraId: cameraId, areaId: polygon.Id, areaJson: polygon.Polygon, triggerLine: polygon.TriggerLine, directionLine: polygon.DirectionLine} // 为每个摄像机区域填充数据 areaMap.CountAreaObjs(arg) arg.AreaMapList = append(arg.AreaMapList, &areaMap) } }