派生自 ruleprocess
main.go
@@ -4,20 +4,21 @@ "basic.com/dbapi.git" "basic.com/pubsub/protomsg.git" "basic.com/valib/deliver.git" "ruleprocess/insertdata" "ruleprocess/util" //"bufio" //"bytes" "flag" "fmt" "ruleprocess/logger" "github.com/golang/protobuf/proto" "ruleprocess/logger" //"gocv.io/x/gocv" //"image" //"image/color" //"os" "ruleprocess/cache" "ruleprocess/ruleserver" "ruleprocess/util" "ruleprocess/insertdata" "sync" ) var dbIp = flag.String("dbIp","127.0.0.1","dbserver ip") @@ -40,15 +41,11 @@ go cache.Init(initchan,*dbIp,*surveyPort,*pubPort) logger.Info("cache init completed!!!",<- initchan)//dbserver初始化完毕 //fmt.Println("缓存初始化完成",<- initchan)//dbserver初始化完毕 ruleserver.Init() go ruleserver.TimeTicker() go ruleserver.StartServer() nReciever("ipc:///tmp/sdk-2-rules-process.ipc", deliver.PushPull, 1) wg.Wait() //resp,err := DrawPolygonOnImage() //if err != nil { // logger.Println("画框或者上传有问题") //} //logger.Println(resp["fileUrl"].(string)) } func nReciever(url string, m deliver.Mode, count int) { c := deliver.NewServer(m, url) @@ -72,13 +69,13 @@ continue } else { arg := ruleserver.SdkDatas{} //paramFormat(msg, &arg) m := paramFormat(msg, &arg) //logger.Info("解析出来的数据：", arg) ruleserver.Judge(&arg) logger.Info("解析出来的数据：", arg) ruleserver.Judge(&arg,&m) // 把sdkMessage传进去，方便缓存数据时拼出一个resultMag // 把arg里的打的标签拿出来给m再封装一层 resultMag := ruleserver.ResultMsg{SdkMessage: m, RuleResult: arg.RuleResult} resultMag := ruleserver.ResultMsg{SdkMessage: &m, RuleResult: arg.RuleResult} //logger.Info("打完标签后的结果：",resultMag) // 将打完标签的数据插入到ES insertdata.InsertToEs(resultMag) } @@ -88,6 +85,7 @@ // 将外部传进来的rect（top,bottom,left,right）转化为自己内部的rect(left top width height) func rectFormat(rcobj *protomsg.Rect) ruleserver.Rect { //logger.Info("++++++++++++++++++++++++++++++收到的yolo的区域坐标：",rcobj) rect := ruleserver.Rect{} rect.X = float64(rcobj.Left) rect.Y = float64(rcobj.Top) @@ -110,7 +108,22 @@ if err != nil { panic("解析msg时出现错误") } // 找201的人脸数据 //for _, sdkinfo := range m.Tasklab.Sdkinfos { // if sdkinfo.Sdktype == "FaceDetect" && m.Cid == "e7e3f5b0-d0ef-40af-a9c9-eefd736937bf"{ // 人脸检测 // if len(sdkinfo.Sdkdata) > 1 { // logger.Debug("有201的人脸数据了") // } else { // logger.Debug("没有201的人脸数据") // } // } //} // 先进行一下追踪 ruleserver.FaceIsSame(&m) args.CameraId = m.Cid args.TaskId = m.Tasklab.Taskid // 把图片的二进制解压缩进行画框在压缩回去 bdata, err := util.UnCompress(m.Data) if err != nil { @@ -136,6 +149,7 @@ // 暂时写死，sdk还没有这俩算法 arg.KeepRight = false arg.IsStatic = false logger.Info("-----追踪之后sdkinfo.Sdkdata的长度为：----",len(sdkinfo.Sdkdata)) if len(sdkinfo.Sdkdata) > 1 { // 大于1才有数据 yoloParam := protomsg.ParamYoloObj{} @@ -144,13 +158,16 @@ logger.Info("解析YOLO sdk数据时出现错误", err) continue } //logger.Info("--------------看看yolo中有几个目标：",len(yoloParam.Infos)) var yoloNum int = 0 for _, info := range yoloParam.Infos { if info.Typ == 0 { //logger.Debug("-------------yolo的坐标有几个",info.RcObj) photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.RcObj), Score: float64(info.Prob)*100,IsYolo:true} arg.Photo = append(arg.Photo, photoMap) yoloNum++ } } logger.Info("--------------追踪之后yolo的个数：",yoloNum) args.Sdkdata = append(args.Sdkdata,&arg) } else { continue @@ -180,9 +197,10 @@ logger.Info("解析FACE sdk数据时出现错误", err) continue } logger.Info("--------------看看人脸检测中有几个目标：",len(faceParam.Faces)) logger.Info("--------------追踪之后yolo的个数：",len(faceParam.Faces)) for _, info := range faceParam.Faces { photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.Quality), IsYolo:false,ThftRes:*(info.Result),Feature:info.Feats} //logger.Info("_______________________________________________第一次看相似值：",info.Pos.FAngle.Confidence*100) photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.FAngle.Confidence*100), IsYolo:false,ThftRes:*(info.Result),Feature:info.Feats} arg.Photo = append(arg.Photo, photoMap) } args.Sdkdata = append(args.Sdkdata,&arg)
