---

panlei

2019-12-16 c10f46d7c207c2c02cbf07a5678d41c9c02b0c72

 algorithm/middleware/readyData.go

@@ -3,6 +3,8 @@
import (
   "basic.com/pubsub/protomsg.git"
   "basic.com/valib/logger.git"
   "encoding/base64"
   "encoding/json"
   "github.com/golang/protobuf/proto"
   uuid "github.com/satori/go.uuid"
   "ruleprocess/ruleserver"
@@ -54,7 +56,7 @@
   }
   for _, polygon := range cameraPolygons {
      //logger.Println("++++++在这儿看一下区域啊:", polygon.Polygon)
      areaMap := structure.AreaMap{CameraId: cameraId, AreaId: polygon.Id, AreaJson: polygon.Polygon, TriggerLine: polygon.TriggerLine, DirectionLine: polygon.DirectionLine}
      areaMap := structure.AreaMap{CameraId: cameraId, AreaId: polygon.Id,AreaJson: polygon.Polygon, TriggerLine: polygon.TriggerLine, DirectionLine: polygon.DirectionLine}
      // 为每个摄像机区域填充数据
      CountAreaObjs(&areaMap,arg)
      arg.AreaMapList = append(arg.AreaMapList, &areaMap)
@@ -134,7 +136,7 @@
      logger.Info("--------------追踪之后人脸的个数：", len(faceParam.Faces))
      for _, info := range faceParam.Faces {
         //logger.Info("_______________________________________________第一次看相似值：",info.Pos.FAngle.Confidence*100)
         photoMap := structure.PhotoMap{structure.SourcePhoto{Id: strconv.Itoa(int(info.Pos.FaceID)) , Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.FAngle.Confidence * 100), Type: "face", ThftRes: *(info.Result), Feature: info.Feats},structure.SourcePhoto{}}
         photoMap := structure.PhotoMap{structure.SourcePhoto{Id: strconv.Itoa(int(info.Pos.FaceID)) , Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.FAngle.Confidence * 100), Type: "face", ThftRes: *(info.Result), Feature: base64.StdEncoding.EncodeToString(info.Feats)},structure.SourcePhoto{}}
         arg.Photo = append(arg.Photo, photoMap)
      }
      args.Sdkdata = append(args.Sdkdata, &arg)
@@ -219,8 +221,9 @@
         return
      }
      for _, info := range Track.Result {
         logger.Info("接收跟踪数据：",info.Id,info.Confidence,info.Feature)
         photoMap := structure.PhotoMap{structure.SourcePhoto{Id: strconv.Itoa(int(info.Id)),Score: float64(info.Confidence)*100,Rects: rectFormat(info.RcHuman), Type: "track"},structure.SourcePhoto{}}
         logger.Info("接收跟踪数据：",info.Id,info.Confidence)
         b,_ := json.Marshal(info.Feature)
         photoMap := structure.PhotoMap{structure.SourcePhoto{Id: strconv.Itoa(int(info.Id)),Score: float64(info.Confidence)*100,Rects: rectFormat(info.RcHuman), Type: "track",Feature: base64.StdEncoding.EncodeToString(b)},structure.SourcePhoto{}}
         arg.Photo = append(arg.Photo, photoMap)
      }
      args.Sdkdata = append(args.Sdkdata, &arg)
@@ -243,7 +246,7 @@
         for _, info := range faceParam.Faces {
            percent := ruleserver.PgsInterPercent(Rect2Point(photomap.Rects),rectFormat(info.Pos.RcFace), 1, 1)
            if percent > 99 {
               photomap.AttachObj = structure.SourcePhoto{Id:strconv.Itoa(int(info.Pos.FaceID)),Rects: rectFormat(info.Pos.RcFace),Score: float64(info.Pos.FAngle.Confidence * 100), Type: "face", ThftRes: *(info.Result), Feature: info.Feats}
               photomap.AttachObj = structure.SourcePhoto{Id:strconv.Itoa(int(info.Pos.FaceID)),Rects: rectFormat(info.Pos.RcFace),Score: float64(info.Pos.FAngle.Confidence * 100), Type: "face", ThftRes: *(info.Result), Feature: base64.StdEncoding.EncodeToString(info.Feats)}
            }
         }
      }