panlei
2019-07-09 4108e6734c74b279aab8fe6ace886f4c134ed63b
main.go
@@ -8,16 +8,16 @@
   "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")
@@ -26,18 +26,15 @@
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)
@@ -76,7 +73,7 @@
         } 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}
@@ -121,13 +118,12 @@
   }
   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 {
@@ -148,7 +144,7 @@
               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}
@@ -164,8 +160,7 @@
      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 {
@@ -185,9 +180,9 @@
               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)
@@ -195,55 +190,55 @@
            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