派生自 ruleprocess
ruleserver/readyDataForRule.go
@@ -3,12 +3,11 @@ import ( "basic.com/dbapi.git" "basic.com/pubsub/protomsg.git" logger "github.com/alecthomas/log4go" "encoding/json" "errors" "fmt" "basic.com/valib/logger.git" "github.com/golang/protobuf/proto" uuid "github.com/satori/go.uuid" "math" "nanomsg.org/go-mangos" "nanomsg.org/go-mangos/protocol/req" @@ -184,7 +183,7 @@ if groupRule.Rules[j].SdkArgAlias == "cmpThreshold" { v2, err := strconv.ParseFloat(groupRule.Rules[j].SdkArgValue, 32) if err != nil { logger.Error("string转float32失败！") //logger.Error("string转float32失败！") } threshold = float32(v2) } @@ -193,7 +192,7 @@ // 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") //logger.Info("没有配置对比底库参数") return } //logger.Debug("=====配置的阈值为：", threshold) @@ -229,48 +228,48 @@ } // 计算区域内的目标数量以及将相似度、占比、尺寸等打包 func CountAreaObjs(a *structure.AreaMap,arg *structure.SdkData) { a.TargetNum = 0 threshold := 80.0 // 相似度 intersectionper := 20.0 // 占比 size := 0.0 // 尺寸 areaPoints := Json2points(a.AreaJson) logger.Info("看看图片的width和height:",arg.ImageWidth,arg.ImageHeight) 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 obj.Score >= threshold && float64(obj.Rects.Width*obj.Rects.Height) >= size && PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale) >= intersectionper { // 这步要备齐表达式里所需要的所有参数 a.TargetNum++ uuid := uuid.NewV4().String() arg1 := structure.Arg{obj.Id,uuid,obj.Score, PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale), float64(obj.Rects.Width * obj.Rects.Height), a.AreaJson,obj.Type, obj.Rects, obj.Car,obj.Feature, obj.ThftRes, []*structure.BaseInfo{},"",structure.ResultMsg{}} //logger.Println("放进去的arg：-------", arg1) a.Args = append(a.Args, &arg1) a.FilterData = append(a.FilterData, &arg1) } } logger.Info("区域是：",areaPoints,"区域内目标数量为：",a.TargetNum,"---",len(a.FilterData)) a.Time = time.Unix(time.Now().Unix(), 0).String()[11:16] //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 *structure.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 := structure.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 CountAreaObjs(&areaMap,arg) arg.AreaMapList = append(arg.AreaMapList, &areaMap) } } //func CountAreaObjs(a *structure.AreaMap,arg *structure.SdkData) { // // a.TargetNum = 0 // threshold := 80.0 // 相似度 // intersectionper := 20.0 // 占比 // size := 0.0 // 尺寸 // // areaPoints := Json2points(a.AreaJson) // logger.Info("看看图片的width和height:",arg.ImageWidth,arg.ImageHeight) // 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 obj.Score >= threshold && float64(obj.Rects.Width*obj.Rects.Height) >= size && PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale) >= intersectionper { // // 这步要备齐表达式里所需要的所有参数 // a.TargetNum++ // uuid := uuid.NewV4().String() // arg1 := structure.Arg{obj.Id,uuid,obj.Score, PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale), float64(obj.Rects.Width * obj.Rects.Height), a.AreaJson,obj.Type, obj.Rects, obj.Car,obj.Feature, obj.ThftRes, []*structure.BaseInfo{},"",structure.ResultMsg{}} // //logger.Println("放进去的arg：-------", arg1) // a.Args = append(a.Args, &arg1) // a.FilterData = append(a.FilterData, &arg1) // } // } // //logger.Info("区域是：",areaPoints,"区域内目标数量为：",a.TargetNum,"---",len(a.FilterData)) // a.Time = time.Unix(time.Now().Unix(), 0).String()[11:16] // //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 *structure.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 := structure.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 // CountAreaObjs(&areaMap,arg) // arg.AreaMapList = append(arg.AreaMapList, &areaMap) // } //} func Push(data *protomsg.CompareArgs,sock mangos.Socket) []byte{ //var sock mangos.Socket @@ -344,19 +343,16 @@ logger.Info("序列化失败：",err1) } logger.Debug("推送数据") //bytes := []byte("ndfasojdfaidsos") if err = sock.Send(bytes); err != nil { logger.Error("推送socket发送数据失败: %s", err.Error()) //os.Exit(1) } if msg, err = sock.Recv(); err != nil { logger.Error("接收响应失败: %s", err.Error()) //os.Exit(1) } logger.Debug("数据推送成功！收到响应,数据长度为：",len(msg)) receiver <- msg default: time.Sleep(time.Millisecond * 10) } } }
