过滤一下yolo

panlei

2019-07-17 41461b1a2d1204c207b44de9c397d16af780104f

 main.go

@@ -4,16 +4,16 @@
   "basic.com/dbapi.git"
   "basic.com/pubsub/protomsg.git"
   "basic.com/valib/deliver.git"
   "bufio"
   "bytes"
   //"bufio"
   //"bytes"
   "flag"
   "fmt"
   "ruleprocess/logger"
   "github.com/golang/protobuf/proto"
   "gocv.io/x/gocv"
   "image"
   "image/color"
   "os"
   //"gocv.io/x/gocv"
   //"image"
   //"image/color"
   //"os"
   "ruleprocess/cache"
   "ruleprocess/ruleserver"
   "ruleprocess/util"
@@ -44,11 +44,6 @@
   go ruleserver.TimeTicker()
   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)
@@ -74,9 +69,9 @@
            arg := ruleserver.SdkDatas{}
            m := paramFormat(msg, &arg)
            //logger.Info("解析出来的数据：", arg)
            ruleserver.Judge(&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
@@ -110,7 +105,10 @@
   if err != nil {
      panic("解析msg时出现错误")
   }
   // 先进行一下追踪
   ruleserver.IsSame(&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 {
@@ -144,13 +142,16 @@
               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：",len(yoloParam.Infos))
            args.Sdkdata = append(args.Sdkdata,&arg)
         } else {
            continue
@@ -180,9 +181,10 @@
               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)