| | |
| | | "bytes" |
| | | "flag" |
| | | "fmt" |
| | | "ruleprocess/logger" |
| | | "github.com/golang/protobuf/proto" |
| | | "gocv.io/x/gocv" |
| | | "image" |
| | | "image/color" |
| | | "os" |
| | | "ruleprocess/cache" |
| | | "ruleprocess/insertdata" |
| | | "ruleprocess/ruleserver" |
| | | "ruleprocess/util" |
| | | "ruleprocess/logger" |
| | | "ruleprocess/insertdata" |
| | | "sync" |
| | | ) |
| | | var dbIp = flag.String("dbIp","127.0.0.1","dbserver ip") |
| | |
| | | var pubPort = flag.Int("pubPort",50007,"pubsub port") //数据更新 |
| | | var initchan = make(chan bool) |
| | | func init () { |
| | | var logFile = "./info.log" |
| | | var logSaveDays = 15 |
| | | |
| | | // 日志初始化 |
| | | logger.Config(logFile, logger.DebugLevel) |
| | | logger.SetSaveDays(logSaveDays) |
| | | logger.Info("loginit success !") |
| | | 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 |
| | | //fmt.Println("缓存初始化完成",<- initchan)//dbserver初始化完毕 |
| | | |
| | | go ruleserver.TimeTicker() |
| | | nReciever("ipc:///tmp/sdk-2-rules-process.ipc", deliver.PushPull, 1) |
| | |
| | | } else { |
| | | arg := ruleserver.SdkDatas{} |
| | | m := paramFormat(msg, &arg) |
| | | logger.Info("解析出来的数据:", arg) |
| | | //logger.Info("解析出来的数据:", arg) |
| | | ruleserver.Judge(&arg) |
| | | // 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} |
| | |
| | | } |
| | | i := protomsg.Image{} |
| | | err = proto.Unmarshal(bdata, &i) |
| | | logger.Info("----------------看看有几个算法:",len(m.Tasklab.Sdkinfos)) |
| | | //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" { |
| | | arg := ruleserver.SdkData{} |
| | | arg.TaskId = m.Tasklab.Taskid |
| | | arg.SdkId = sdkinfo.Sdkid |
| | | arg.SdkName = sdkinfo.SdkName |
| | | arg.IpcId = sdkinfo.Ipcid |
| | | arg.IsYolo = true |
| | | bdata, err := util.UnCompress(m.Data) |
| | | if err != nil { |
| | |
| | | logger.Info("解析YOLO sdk数据时出现错误", err) |
| | | continue |
| | | } |
| | | logger.Info("------当前算法name",sdkinfo.SdkName,"--------------看看yolo中有几个目标:",len(yoloParam.Infos)) |
| | | //logger.Info("--------------看看yolo中有几个目标:",len(yoloParam.Infos)) |
| | | for _, info := range yoloParam.Infos { |
| | | if info.Typ == 0 { |
| | | photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.RcObj), Score: float64(info.Prob)*100,IsYolo:true} |
| | |
| | | if sdkinfo.Sdktype == "FaceDetect" { // 人脸检测 |
| | | arg := ruleserver.SdkData{} |
| | | arg.TaskId = m.Tasklab.Taskid |
| | | arg.SdkId = sdkinfo.Sdkid |
| | | arg.SdkName = sdkinfo.SdkName |
| | | arg.IpcId = sdkinfo.Ipcid |
| | | arg.IsYolo = false |
| | | bdata, err := util.UnCompress(m.Data) |
| | | if err != nil { |
| | |
| | | logger.Info("解析FACE sdk数据时出现错误", err) |
| | | continue |
| | | } |
| | | logger.Info("------当前算法name",sdkinfo.SdkName,"--------------看看人脸检测中有几个目标:",len(faceParam.Faces)) |
| | | logger.Info("--------------看看人脸检测中有几个目标:",len(faceParam.Faces)) |
| | | for _, info := range faceParam.Faces { |
| | | photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.Quality)*100, IsYolo:false,ThftRes:*(info.Result)} |
| | | photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.Quality)*100, IsYolo:false,ThftRes:*(info.Result),Feature:info.Feats} |
| | | arg.Photo = append(arg.Photo, photoMap) |
| | | } |
| | | args.Sdkdata = append(args.Sdkdata,&arg) |
| | |
| | | continue |
| | | } |
| | | } |
| | | if sdkinfo.Sdktype == "FaceExtract" { // 人脸提取 |
| | | arg := ruleserver.SdkData{} |
| | | arg.TaskId = m.Tasklab.Taskid |
| | | arg.SdkId = sdkinfo.Sdkid |
| | | arg.SdkName = sdkinfo.SdkName |
| | | arg.IsYolo = false |
| | | 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 |
| | | if len(sdkinfo.Sdkdata) > 1 { |
| | | faceParam := protomsg.ParamFaceFeature{} |
| | | err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam) |
| | | if err != nil { |
| | | logger.Info("解析FACE sdk数据时出现错误", err) |
| | | continue |
| | | } |
| | | for _,faceExtCom := range faceParam.ExtComp { |
| | | binfos := protomsg.Binfos{} |
| | | err := proto.Unmarshal(faceExtCom.Comp, &binfos) |
| | | if err != nil { |
| | | logger.Info("解析人脸比对数据时出现错误", err) |
| | | continue |
| | | } |
| | | logger.Info("_________________________________________________________________解析出的人脸的相似的底库数据",binfos) |
| | | } |
| | | logger.Info("------当前算法name",sdkinfo.SdkName,"--------------看看人脸提取中有几个目标:",len(faceParam.ExtComp)) |
| | | for _, extComp := range faceParam.ExtComp { |
| | | baseinfos := protomsg.Binfos{} |
| | | err1 := proto.Unmarshal(extComp.Comp, &baseinfos) |
| | | if err1 != nil { |
| | | logger.Info("解析FACE sdk数据时出现错误", err) |
| | | continue |
| | | } |
| | | photoMap := ruleserver.PhotoMap{Rects: rectFormat(extComp.Pos.Pos.RcFace), Score: float64(extComp.Pos.Pos.Quality)*100, IsYolo:false,ThftRes:*(extComp.Pos.Result),Liker:baseinfos.Infos} |
| | | arg.Photo = append(arg.Photo, photoMap) |
| | | } |
| | | args.Sdkdata = append(args.Sdkdata,&arg) |
| | | } else { |
| | | continue |
| | | } |
| | | } |
| | | //if sdkinfo.Sdktype == "FaceExtract" { // 人脸提取 |
| | | // arg := ruleserver.SdkData{} |
| | | // arg.TaskId = m.Tasklab.Taskid |
| | | // arg.SdkId = sdkinfo.Sdkid |
| | | // arg.SdkName = sdkinfo.SdkName |
| | | // arg.IsYolo = false |
| | | // 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 |
| | | // if len(sdkinfo.Sdkdata) > 1 { |
| | | // faceParam := protomsg.ParamFaceFeature{} |
| | | // err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam) |
| | | // if err != nil { |
| | | // logger.Info("解析FACE sdk数据时出现错误", err) |
| | | // continue |
| | | // } |
| | | // for _,faceExtCom := range faceParam.ExtComp { |
| | | // binfos := protomsg.Binfos{} |
| | | // err := proto.Unmarshal(faceExtCom.Comp, &binfos) |
| | | // if err != nil { |
| | | // logger.Info("解析人脸比对数据时出现错误", err) |
| | | // continue |
| | | // } |
| | | // logger.Info("_________________________________________________________________解析出的人脸的相似的底库数据",binfos.Infos[0].CompareScore) |
| | | // } |
| | | // logger.Info("------当前算法name",sdkinfo.SdkName,"--------------看看人脸提取中有几个目标:",len(faceParam.ExtComp)) |
| | | // for _, extComp := range faceParam.ExtComp { |
| | | // baseinfos := protomsg.Binfos{} |
| | | // err1 := proto.Unmarshal(extComp.Comp, &baseinfos) |
| | | // if err1 != nil { |
| | | // logger.Info("解析FACE sdk数据时出现错误", err) |
| | | // continue |
| | | // } |
| | | // photoMap := ruleserver.PhotoMap{Rects: rectFormat(extComp.Pos.Pos.RcFace), Score: float64(extComp.Pos.Pos.Quality)*100, IsYolo:false,ThftRes:*(extComp.Pos.Result),Liker:baseinfos.Infos} |
| | | // arg.Photo = append(arg.Photo, photoMap) |
| | | // } |
| | | // args.Sdkdata = append(args.Sdkdata,&arg) |
| | | // } else { |
| | | // continue |
| | | // } |
| | | //} |
| | | |
| | | } |
| | | return m |