派生自 ruleprocess
main.go
@@ -1,20 +1,49 @@ package main import ( "fmt" "ruleprocess/ruleserver" "ruleprocess/insertdata" "sync" "basic.com/dbapi.git" "basic.com/pubsub/protomsg.git" "basic.com/valib/deliver.git" "github.com/golang/protobuf/proto" ) "ruleprocess/insertdata" "ruleprocess/util" //"bufio" //"bytes" "flag" "fmt" "github.com/golang/protobuf/proto" "ruleprocess/logger" //"gocv.io/x/gocv" //"image" //"image/color" //"os" "ruleprocess/cache" "ruleprocess/ruleserver" "sync" ) var dbIp = flag.String("dbIp","127.0.0.1","dbserver ip") var dbPort = flag.Int("dbPort",8001,"default dbPort=8001") var surveyPort = flag.Int("surveyPort",40007,"survey port") //心跳 var pubPort = flag.Int("pubPort",50007,"pubsub port") //数据更新 var initchan = make(chan bool) func init () { // 日志初始化 logger.Config("./info.log", logger.DebugLevel) logger.Info("日志初始化成功！") } func main() { flag.Parse() wg := sync.WaitGroup{} wg.Add(1) wg.Add(2) dbapi.Init(*dbIp,*dbPort) 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() } @@ -35,17 +64,18 @@ default: msg, err = c.Recv() if err != nil { logger.Info("recv error : ", err) fmt.Println("recv error : ", err) continue } else { arg := ruleserver.ArgsFromSdk{} m := paramFormat(msg,&arg) fmt.Println("解析出来的数据：",arg) ruleserver.MainJudge(&arg) arg := ruleserver.SdkDatas{} //paramFormat(msg, &arg) m := paramFormat(msg, &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} fmt.Println("打完标签后的结果：",resultMag) 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) } @@ -53,11 +83,22 @@ } } // 将外部传进来的sdk数据包解成 ArgsFromSdk func paramFormat(msg []byte,arg *ruleserver.ArgsFromSdk) protomsg.SdkMessage { // 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) rect.Width = float64(rcobj.Right - rcobj.Left) rect.Height = float64(rcobj.Bottom - rcobj.Top) return rect } // 将外部传进来的sdk数据包解成 SdkDatas func paramFormat(msg []byte, args *ruleserver.SdkDatas) protomsg.SdkMessage { defer func() { if err := recover();err != nil{ fmt.Println("解包过程的错误",err.(string)) if err := recover(); err != nil { logger.Info("解包过程的错误", err.(string)) } }() @@ -67,60 +108,95 @@ if err != nil { panic("解析msg时出现错误") } arg.CameraId = m.Cid arg.TaskId = m.Tasklab.Taskid bdata,err := UnCompress(m.Data) // 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 { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) arg.ImageWidth = int(i.Width) arg.ImageHeight = int(i.Height) // 暂时写死，sdk还没有这俩算法 arg.KeepRight = false arg.IsStatic = false fmt.Println("从mongos中拿到的数据包长度为：", len(msg)) //logger.Info("----------------看看有几个算法：",len(m.Tasklab.Sdkinfos)) for _, sdkinfo := range m.Tasklab.Sdkinfos { // yolo算法 if sdkinfo.Sdktype == "Yolo" { yoloParam := protomsg.ParamYoloObj{} err = proto.Unmarshal(sdkinfo.Sdkdata, &yoloParam) arg := ruleserver.SdkData{} arg.TaskId = m.Tasklab.Taskid arg.IpcId = sdkinfo.Ipcid arg.IsYolo = true bdata, err := util.UnCompress(m.Data) if err != nil { fmt.Println("解析sdk数据时出现错误", err) continue panic("解压缩图片时出现错误") } for _, info := range yoloParam.Infos { photoMap := ruleserver.PhotoMap{Rects:rectFormat(info.RcObj, i.Width, i.Height), Score: float64(info.Prob)} arg.Photo = append(arg.Photo, photoMap) i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) arg.ImageWidth = int(i.Width) arg.ImageHeight = int(i.Height) // 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{} err = proto.Unmarshal(sdkinfo.Sdkdata, &yoloParam) if err != nil { logger.Info("解析YOLO sdk数据时出现错误", err) continue } 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 } } if sdkinfo.Sdktype == "FaceDetect" { // 人脸检测 faceParam := protomsg.ParamFacePos{} err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam) arg := ruleserver.SdkData{} arg.TaskId = m.Tasklab.Taskid arg.IpcId = sdkinfo.Ipcid arg.IsYolo = false bdata, err := util.UnCompress(m.Data) if err != nil { fmt.Println("解析sdk数据时出现错误", err) panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) arg.ImageWidth = int(i.Width) arg.ImageHeight = int(i.Height) // 暂时写死，sdk还没有这俩算法 arg.KeepRight = false arg.IsStatic = false if len(sdkinfo.Sdkdata) > 1 { faceParam := protomsg.ParamFacePos{} err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam) if err != nil { logger.Info("解析FACE sdk数据时出现错误", err) continue } logger.Info("--------------追踪之后yolo的个数：",len(faceParam.Faces)) for _, info := range faceParam.Faces { //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) } else { continue } for _, info := range faceParam.Faces { photoMap := ruleserver.PhotoMap{Rects:nil, Score: float64(info.Pos.Quality)} arg.Photo = append(arg.Photo, photoMap) } } //if sdkinfo.Sdktype == "FaceExtract" { // 人脸提取 //} } return m } // 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, width int32, height int32) ruleserver.Rect { rect := ruleserver.Rect{} rect.X = float64(rcobj.Left) rect.Y = float64(rcobj.Top) rect.Width = float64(width - rcobj.Left - rcobj.Right) rect.Height = float64(height - rcobj.Top - rcobj.Bottom) return rect } }
