派生自 ruleprocess
main.go
@@ -2,13 +2,14 @@ import ( "fmt" "ruleprocess/ruleserver" "ruleprocess/insertdata" "ruleprocess/ruleserver" "ruleprocess/util" "sync" "basic.com/pubsub/protomsg.git" "basic.com/valib/deliver.git" "github.com/golang/protobuf/proto" "sync" ) func main() { @@ -38,10 +39,10 @@ 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{} m := paramFormat(msg, &arg) fmt.Println("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} //fmt.Println("打完标签后的结果：",resultMag) @@ -53,68 +54,6 @@ } } // 将外部传进来的sdk数据包解成 ArgsFromSdk func paramFormat(msg []byte,arg *ruleserver.ArgsFromSdk) protomsg.SdkMessage { defer func() { if err := recover();err != nil{ fmt.Println("解包过程的错误",err.(string)) } }() // 反序列化数据得到sdk入参 m := protomsg.SdkMessage{} err := proto.Unmarshal(msg, &m) 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) 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)) for _, sdkinfo := range m.Tasklab.Sdkinfos { // yolo算法 if sdkinfo.Sdktype == "Yolo" { yoloParam := protomsg.ParamYoloObj{} err = proto.Unmarshal(sdkinfo.Sdkdata, &yoloParam) if err != nil { fmt.Println("解析YOLO sdk数据时出现错误", err) //continue } for _, info := range yoloParam.Infos { photoMap := ruleserver.PhotoMap{Rects:rectFormat(info.RcObj), Score: float64(info.Prob)} arg.Photo = append(arg.Photo, photoMap) } } if sdkinfo.Sdktype == "FaceDetect" { // 人脸检测 faceParam := protomsg.ParamFacePos{} err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam) if err != nil { fmt.Println("解析FACE sdk数据时出现错误", err) continue } for _, info := range faceParam.Faces { photoMap := ruleserver.PhotoMap{Rects:ruleserver.Rect{}, 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) ruleserver.Rect { rect := ruleserver.Rect{} @@ -124,3 +63,144 @@ 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)) } }() // 反序列化数据得到sdk入参 m := protomsg.SdkMessage{} err := proto.Unmarshal(msg, &m) if err != nil { panic("解析msg时出现错误") } args.CameraId = m.Cid // 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) 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.IsYolo = true 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 { // 大于1才有数据 fmt.Println("----------------------------------------------------",m.Cid) yoloParam := protomsg.ParamYoloObj{} err = proto.Unmarshal(sdkinfo.Sdkdata, &yoloParam) if err != nil { fmt.Println("解析YOLO sdk数据时出现错误", err) continue } for _, info := range yoloParam.Infos { if info.Typ == 0 { photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.RcObj), Score: float64(info.Prob)*100,IsYolo:true} arg.Photo = append(arg.Photo, photoMap) } } args.Sdkdata = append(args.Sdkdata,&arg) } else { continue } } 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.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 { fmt.Println("----------------------------------------------------",m.Caddr) faceParam := protomsg.ParamFacePos{} err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam) if err != nil { fmt.Println("解析FACE sdk数据时出现错误", err) continue } for _, info := range faceParam.Faces { photoMap := ruleserver.PhotoMap{Rects: rectFormat(info.Pos.RcFace), Score: float64(info.Pos.Quality)*100, IsYolo:false,ThftRes:*(info.Result)} 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 { fmt.Println("----------------------------------------------------",m.Caddr) faceParam := protomsg.ParamFaceFeature{} err = proto.Unmarshal(sdkinfo.Sdkdata, &faceParam) if err != nil { fmt.Println("解析FACE sdk数据时出现错误", err) continue } for _, extComp := range faceParam.ExtComp { baseinfos := protomsg.Binfos{} err1 := proto.Unmarshal(extComp.Comp, &baseinfos) if err1 != nil { fmt.Println("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 }
