派生自 ruleprocess
insertdata/insertDataToEs.go
@@ -42,31 +42,24 @@ CameraAddr string `json:"cameraAddr"` CameraName string `json:"cameraName"` PicDate string `json:"picDate"` PicMaxUrl string `json:"picMaxUrl"` PicMaxUrl []string `json:"picMaxUrl"` TaskId string `json:"taskId"` TaskName string `json:"taskName"` SdkName string `json:"sdkName"` Content string `json:"content"` AlarmRules []AlarmRule `json:"alarmRules"` LikeDate string `json:"likeDate"` Sex string `json:"sex"` Age int32 `json:"age"` AgeDescription string `json:"ageDescription"` Race string `json:"race"` SmileLevel int32 `json:"smileLevel"` BeautyLevel int32 `json:"beautyLevel"` FaceFeature string `json:"faceFeature"` PicSmUrl []string `json:"picSmUrl"` ShowLabels string `json:"showLabels"` OtherLabels string `json:"otherLabels"` VideoUrl string `json:"videoUrl"` AnalyServerId string `json:"analyServerId"` AnalyServerName string `json:"analyServerName"` AnalyServerIp string `json:"analyServerIp"` ClusterId string `json:"clusterId"` DetectScore float64 `json:"detectScore"` IsAlarm int `json:"isAlarm"` IsAckAlarm int `json:"isAckAlarm"` IsCollect int `json:"isCollect"` IsDelete int `json:"isDelete"` IsAlarm bool `json:"isAlarm"` IsAckAlarm bool `json:"isAckAlarm"` IsCollect bool `json:"isCollect"` IsDelete bool `json:"isDelete"` BaseInfo []*structure.BaseInfo `json:"baseInfo"` TargetInfo []Target `json:"targetInfo"` LinkTag string `json:"linkTag"` @@ -79,31 +72,24 @@ CameraAddr string `json:"cameraAddr"` CameraName string `json:"cameraName"` PicDate string `json:"picDate"` PicMaxUrl string `json:"picMaxUrl"` PicMaxUrl []string `json:"picMaxUrl"` TaskId string `json:"taskId"` TaskName string `json:"taskName"` SdkName string `json:"sdkName"` Content string `json:"content"` AlarmRules []AlarmRule `json:"alarmRules"` LikeDate string `json:"likeDate"` Sex string `json:"sex"` Age int32 `json:"age"` AgeDescription string `json:"ageDescription"` Race string `json:"race"` SmileLevel int32 `json:"smileLevel"` BeautyLevel int32 `json:"beautyLevel"` FaceFeature string `json:"faceFeature"` PicSmUrl []string `json:"picSmUrl"` ShowLabels string `json:"showLabels"` OtherLabels string `json:"otherLabels"` VideoUrl string `json:"videoUrl"` AnalyServerId string `json:"analyServerId"` AnalyServerName string `json:"analyServerName"` AnalyServerIp string `json:"analyServerIp"` ClusterId string `json:"clusterId"` DetectScore float64 `json:"detectScore"` IsAlarm int `json:"isAlarm"` IsAckAlarm int `json:"isAckAlarm"` IsCollect int `json:"isCollect"` IsDelete int `json:"isDelete"` IsAlarm bool `json:"isAlarm"` IsAckAlarm bool `json:"isAckAlarm"` IsCollect bool `json:"isCollect"` IsDelete bool `json:"isDelete"` BaseInfo []*structure.BaseInfo `json:"baseInfo"` TargetInfo []Target `json:"targetInfo"` } @@ -111,6 +97,8 @@ type Target struct { TargetId string `json:"targetId"` TargetScore float64 `json:"targetScore"` FaceFeature string `json:"feature"` PicSmUrl string `json:"picSmUrl"` TargetLocation Points `json:"targetLocation"` } @@ -124,33 +112,6 @@ Y float64 `json:"y"` } // yolo行为的数据结构 type Personaction struct { Id string `json:"id"` CameraId string `json:"cameraId"` CameraName string `json:"cameraName"` CameraAddr string `json:"cameraAddr"` TaskId string `json:"taskId"` TaskName string `json:"taskName"` SdkName string `json:"sdkName"` Content string `json:"content"` AlarmRules []AlarmRule `json:"alarmRules"` AnalyServerId string `json:"analyServerId"` AnalyServerName string `json:"analyServerName"` AnalyServerIp string `json:"analyServerIp"` ClusterId string `json:"clusterId"` PicSmUrl []string `json:"picSmUrl"` PicDate string `json:"picDate"` VideoUrl string `json:"videoUrl"` IsAlarm int `json:"isAlarm"` IsAckAlarm int `json:"isAckAlarm"` IsCollect int `json:"isCollect"` IsDelete int `json:"isDelete"` TargetInfo []Target `json:"targetInfo"` LinkTag string `json:"linkTag"` LinkTagInfo []*LinkInfo `json:"linkTagInfo"` } type AlarmRule struct { GroupId string `json:"groupId"` AlarmLevel string `json:"alarmLevel"` @@ -159,135 +120,130 @@ LinkInfo string `json:"linkInfo"` } // 一个face对多个规则组的归置人脸的结构体 type FaceAndRules struct { // 一个obj对多个规则组的归置人脸的结构体 可用于人脸 可用于车牌 type ObjAndRules struct { structure.Arg rules []structure.Result } func InsertToEs(msg structure.ResultMsg) { //defer func() { // if err := recover(); err != nil { // logger.Error("es模块儿的异常捕获：", err) // } //}() defer func() { if err := recover(); err != nil { logger.Error("es模块儿的异常捕获：", err) } }() localConfig1, err := cache.GetServerInfo() if err != nil { panic("配置文件不合法") } weedfsUrl = "http://" + localConfig1.WebPicIp + ":" + strconv.Itoa(int(localConfig1.WebPicPort)) + "/submit" videoPersonUrl = "http://" + localConfig1.AlarmIp + ":" + strconv.Itoa(int(localConfig1.AlarmPort)) + "/" + EsInfo.EsIndex.VideoPersons.IndexName + "/" + EsInfo.EsIndex.VideoPersons.IndexType personAction = "http://" + localConfig1.AlarmIp + ":" + strconv.Itoa(int(localConfig1.AlarmPort)) + "/" + EsInfo.EsIndex.Personaction.IndexName + "/" + EsInfo.EsIndex.Personaction.IndexType videoPersonUrl = "http://" + localConfig1.AlarmIp + ":" + strconv.Itoa(int(localConfig1.AlarmPort)) + "/" + EsInfo.EsIndex.AIOcean.IndexName + "/" + EsInfo.EsIndex.AIOcean.IndexType InsertFace(msg) InsertYolo(msg) InsertTarget(msg) } // 往es中插入人脸数据 // 往es中插入人脸类型数据 func InsertFace(msg structure.ResultMsg) { if msg.RuleResult["face"] != nil && len(msg.RuleResult["face"].([]structure.Result)) > 0 { logger.Info("往ES插人脸数据") faces := []*FaceAndRules{} faces = PutFace(faces, msg) //logger.Info("整理后的数据：",faces) if faces != nil { var imgMaxUrl string = "" var picTime string = "" for _, face := range faces { // 上传大图 // 解压缩并上传图片 bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } alarmRules := []AlarmRule{} //os.Exit(1) for _, faceResult := range face.rules { alarm := ChangeToString(faceResult.DefenceState, faceResult.AlarmLevel) alarmRules = append(alarmRules, AlarmRule{faceResult.RuleGroupId, alarm, faceResult.RuleText, faceResult.DefenceState, ""}) } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) // 先传小图，再传大图，防止脸上有线 bytes := util.SubImg(i, int(face.Location.X), int(face.Location.Y), int(face.Location.X+face.Location.Width), int(face.Location.Y+face.Location.Height)) resp, err := util.PostFormBufferData1(weedfsUrl, bytes, uuid.NewV4().String()) if err != nil { logger.Error("上传小图出错") } // 上传大图 if imgMaxUrl == "" { bigPhotoUrl := make(map[string]interface{}) bigPhotoUrl, err = util.DrawPolygonOnImageForFace(msg.Cid, i, msg.RuleResult["face"].([]structure.Result), weedfsUrl) logger.Debug("========大图路径：", bigPhotoUrl) imgMaxUrl = bigPhotoUrl["fileUrl"].(string) picTime = i.Timestamp } sex := "" logger.Info(sex) if face.ThftRes.Gender == 1 { sex = "男" } else { sex = "女" } race := getRaceString(face.ThftRes.Race) ageDescription := getDescription(face.ThftRes.Age) logger.Info(ageDescription) var target = new(Target) target.TargetId = strconv.FormatUint(face.Id, 10) target.TargetScore = face.Score target.TargetLocation = Points{TopLeft: Point{face.Location.X, face.Location.Y}, BottomRight: Point{face.Location.X + face.Location.Width, face.Location.Y + face.Location.Height}} //logger.Info("人脸的id:",strconv.FormatUint(face.Id, 10)) var targetInfos []Target targetInfos = append(targetInfos, *target) pervideo := PerVideoPicture{ face.Uuid, msg.Cid, msg.Push.Cam.Addr, msg.Push.Cam.Name, picTime, imgMaxUrl, msg.Tasklab.Taskid, msg.Tasklab.Taskname, "人脸", "", alarmRules, time.Now().Format("2006-01-02 15:04:05"), // 只检测，没有比对时间 sex, //暂改为人脸id strconv.FormatUint(face.Id, 10) face.ThftRes.Age, ageDescription, // 暂改为分值fmt.Sprintf("%.2f",face.Score) race, face.ThftRes.Smile, face.ThftRes.Beauty, base64.StdEncoding.EncodeToString(face.Feature), []string{resp["fileUrl"].(string)}, "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", face.Score, 1, 0, 0, 0, face.Liker, targetInfos, "", []*LinkInfo{}, } requstbody, err := json.Marshal(pervideo) if (msg.RuleResult["face"] != nil && len(msg.RuleResult["face"].([]structure.Result)) > 0) || (msg.RuleResult["plate"] != nil && len(msg.RuleResult["plate"].([]structure.Result)) > 0) { for key, results := range msg.RuleResult { if key == "face" || key == "plate" { logger.Info("往ES插人脸数据(或车牌数据)") faces := []*ObjAndRules{} faces = PutFace(faces, results.([]structure.Result)) //logger.Info("整理后的数据：",faces) if faces != nil { var imgMaxUrl []string = []string{} var picTime string = "" for _, face := range faces { // 上传大图 // 解压缩并上传图片 bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } alarmRules := []AlarmRule{} for _, faceResult := range face.rules { alarm := ChangeToString(faceResult.DefenceState, faceResult.AlarmLevel) alarmRules = append(alarmRules, AlarmRule{faceResult.RuleGroupId, alarm, faceResult.RuleText, faceResult.DefenceState, ""}) } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) // 先传小图，再传大图，防止脸上有线 bytes := util.SubImg(i, int(face.Location.X), int(face.Location.Y), int(face.Location.X+face.Location.Width), int(face.Location.Y+face.Location.Height)) resp, err := util.PostFormBufferData1(weedfsUrl, bytes, uuid.NewV4().String()) if err != nil { logger.Error("上传小图出错") } // 上传大图 if len(imgMaxUrl) == 0 { bigPhotoUrl := make(map[string]interface{}) bigPhotoUrl, err = util.DrawPolygonOnImageForFace(msg.Cid, i, msg.RuleResult["face"].([]structure.Result), weedfsUrl) logger.Debug("========大图路径：", bigPhotoUrl) imgMaxUrl = append(imgMaxUrl, bigPhotoUrl["fileUrl"].(string)) picTime = i.Timestamp } lable, lableAttach := Feature2Jsonstr(*face) var target = new(Target) target.TargetId = face.Id target.TargetScore = face.Score target.FaceFeature = base64.StdEncoding.EncodeToString(face.Feature) target.PicSmUrl = resp["fileUrl"].(string) target.TargetLocation = Points{TopLeft: Point{face.Location.X, face.Location.Y}, BottomRight: Point{face.Location.X + face.Location.Width, face.Location.Y + face.Location.Height}} var targetInfos []Target targetInfos = append(targetInfos, *target) if err != nil { logger.Info("json parse error ", err) return } resp1, err1 := EsReq("POST", videoPersonUrl, requstbody) if err1 != nil { logger.Error("上传ES出错！---", err1) } else { logger.Info("插入es返回的信息(人脸)：", resp1) // 发出录像信号 ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: face.Uuid, CameraId: msg.Cid, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{"-1"}, Type: 1}) sdkname := "" switch key { case "face": sdkname = "人脸" case "plate": sdkname = "车牌识别" } pervideo := PerVideoPicture{ face.Uuid, msg.Cid, msg.Push.Cam.Addr, msg.Push.Cam.Name, picTime, imgMaxUrl, msg.Tasklab.Taskid, msg.Tasklab.Taskname, sdkname, "", alarmRules, time.Now().Format("2006-01-02 15:04:05"), // 只检测，没有比对时间 lable, lableAttach, "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", true, false, false, false, face.Liker, targetInfos, "", []*LinkInfo{}, } requstbody, err := json.Marshal(pervideo) if err != nil { logger.Info("json parse error ", err) return } resp1, err1 := EsReq("POST", videoPersonUrl, requstbody) if err1 != nil { logger.Error("上传ES出错！---", err1) } else { logger.Info("插入es返回的信息：", sdkname,"---",resp1) // 发出录像信号 ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: face.Uuid, CameraId: msg.Cid, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{"-1"}, Type: 1}) } } } } } @@ -295,22 +251,18 @@ } // 归置人脸 func PutFace(faces []*FaceAndRules, msg structure.ResultMsg) []*FaceAndRules { if msg.RuleResult["face"] != nil && len(msg.RuleResult["face"].([]structure.Result)) > 0 { for _, faceResult := range msg.RuleResult["face"].([]structure.Result) { faces = hebingFace(faces, faceResult) } return faces } else { return nil func PutFace(objs []*ObjAndRules, resutls []structure.Result) []*ObjAndRules { for _, faceResult := range resutls { objs = hebingFace(objs, faceResult) } return objs } func hebingFace(faces []*FaceAndRules, faceResult structure.Result) []*FaceAndRules { func hebingFace(objs []*ObjAndRules, faceResult structure.Result) []*ObjAndRules { for _, arg := range faceResult.AlarmObj { // 拿到每一张人脸 //logger.Info("归置人脸时相似者的数量：", len(arg.Liker)) flag := false for _, face := range faces { for _, face := range objs { //for _, lik := range face.Liker { // //logger.Warn("--------合并人脸时相似者：", lik.PersonId, lik.TableName) //} @@ -321,7 +273,7 @@ for _, liker := range arg.Liker { flag1 := true for _, liker1 := range face.Liker { if liker.PersonId == liker1.PersonId { if liker.TargetId == liker1.TargetId { flag1 = false } } @@ -333,10 +285,10 @@ } } if !flag { faces = append(faces, &FaceAndRules{*arg, []structure.Result{faceResult}}) objs = append(objs, &ObjAndRules{*arg, []structure.Result{faceResult}}) } } return faces return objs } // 往es中插入yolo数据 @@ -351,161 +303,166 @@ } } if flag { logger.Info("往ES插yolo数据") var sdkNames string = "" alarmRules := []AlarmRule{} var targetInfos []Target url := []string{} for _, yoloResult := range msg.RuleResult["yolo"].([]structure.Result) { if yoloResult.Others.TimeLabel == "01" || yoloResult.Others.TimeLabel == "10" { // 拼出sdkname //logger.Info("应该进来才对的") sdkNames = sdkNames + yoloResult.SdkName alarm := ChangeToString(yoloResult.DefenceState, yoloResult.AlarmLevel) linkInfo := "" if yoloResult.IsLink { linkInfo = "联动任务" } alarmRules = append(alarmRules, AlarmRule{yoloResult.RuleGroupId, alarm, yoloResult.RuleText, yoloResult.DefenceState, linkInfo}) // 上传缓存数据的图片拿到url if yoloResult.Others.CacheData != nil { //InsertYolo(msg.RuleResult["cacheData"].(ruleserver.ResultMsg)) // 把缓存的数据上传后得到地址存进去 // 解压缩并上传图片 msgs := yoloResult.Others.CacheData for _, msg1 := range msgs { bdata, err := util.UnCompress(msg1.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) resp1, err1 := util.DrawPolygonOnImageForYolo(msg1.Cid, i, msg1.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err1 != nil { logger.Error("缓存数据画框或上传图片服务器出错", err) } else { logger.Info("上传的图片信息：", resp1) } if resp1["fileUrl"] != nil { url = append(url, resp1["fileUrl"].(string)) } logger.Info("往ES插yolo数据") var sdkNames string = "" alarmRules := []AlarmRule{} var targetInfos []Target url := []string{} for _, yoloResult := range msg.RuleResult["yolo"].([]structure.Result) { if yoloResult.Others.TimeLabel == "01" || yoloResult.Others.TimeLabel == "10" { // 拼出sdkname //logger.Info("应该进来才对的") sdkNames = sdkNames + yoloResult.SdkName alarm := ChangeToString(yoloResult.DefenceState, yoloResult.AlarmLevel) linkInfo := "" if yoloResult.IsLink { linkInfo = "联动任务" } alarmRules = append(alarmRules, AlarmRule{yoloResult.RuleGroupId, alarm, yoloResult.RuleText, yoloResult.DefenceState, linkInfo}) logger.Info("打印任务名称：", ) // 上传缓存数据的图片拿到url if yoloResult.Others.CacheData != nil { //InsertYolo(msg.RuleResult["cacheData"].(ruleserver.ResultMsg)) // 把缓存的数据上传后得到地址存进去 // 解压缩并上传图片 msgs := yoloResult.Others.CacheData for _, msg1 := range msgs { bdata, err := util.UnCompress(msg1.Data) if err != nil { panic("解压缩图片时出现错误") } } // 装配目标信息数据 for _, target := range yoloResult.AlarmObj { // 去重添加 var flag = true for _, selectTarget := range targetInfos { if strconv.FormatUint(target.Id, 10) == selectTarget.TargetId { flag = false break } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) resp1, err1 := util.DrawPolygonOnImageForYolo(msg1.Cid, i, msg1.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err1 != nil { logger.Error("缓存数据画框或上传图片服务器出错", err) } else { logger.Info("上传的图片信息：", resp1) } if flag { var target1 = new(Target) target1.TargetId = strconv.FormatUint(target.Id, 10) target1.TargetScore = target.Score target1.TargetLocation = Points{TopLeft: Point{target.Location.X, target.Location.Y}, BottomRight: Point{target.Location.X + target.Location.Width, target.Location.Y + target.Location.Height}} targetInfos = append(targetInfos, *target1) if resp1["fileUrl"] != nil { url = append(url, resp1["fileUrl"].(string)) } } } } // 联动图像的处理 linkTagInfos := []*LinkInfo{} for _, yoloResult := range msg.RuleResult["yolo"].([]structure.Result) { if (yoloResult.Others.TimeLabel == "01" || yoloResult.Others.TimeLabel == "10") && yoloResult.Others.LinkCache != nil && len(yoloResult.Others.LinkCache) > 1 { for _, msg2 := range yoloResult.Others.LinkCache { // 把msg2的数据装配成一个PerVideoPicture结构体 if msg2.Cid != msg.Cid { linkTagInfos = append(linkTagInfos, msg2PersonVideo(msg2)) // 装配目标信息数据 for _, target := range yoloResult.AlarmObj { // 去重添加 var flag = true for _, selectTarget := range targetInfos { if target.Id == selectTarget.TargetId { flag = false break } } } } linkTag := "" if len(linkTagInfos) > 0 { linkTag = "联动任务" } isAlarm := 0 resp := make(map[string]interface{}) // 解压缩并上传图片 bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) if len(alarmRules) > 0 { isAlarm = 1 //resp, err = util.PostFormBufferData(weedfsUrl, i, uuid.NewV4().String()) resp, err = util.DrawPolygonOnImageForYolo(msg.Cid, i, msg.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err != nil { logger.Error("画框或上传图片服务器出错", err) return } else { logger.Info("上传的图片信息：", resp) } } else { isAlarm = 0 // 不是报警数据不存 return } if resp["fileUrl"] != nil { url = append(url, resp["fileUrl"].(string)) //esDataId := uuid.NewV4().String() peraction := Personaction{ msg.Push.PushId, msg.Cid, msg.Push.Cam.Name, msg.Push.Cam.Addr, msg.Tasklab.Taskid, msg.Tasklab.Taskname, sdkNames, "", alarmRules, msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", url, i.Timestamp, "", isAlarm, 0, 0, 0, targetInfos, linkTag, linkTagInfos, } requstbody, err := json.Marshal(peraction) if len(linkTagInfos)>0 { logger.Info("联动任务1111") } if err != nil { logger.Info("json parse error ", err) return } resp1, err2 := EsReq("POST", personAction, requstbody) if err2 != nil { logger.Error("往ES插入数据失败", err) } else { logger.Debug("插入es返回的数据信息是（yolo）：", resp1) // 发出录像信号 ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: msg.Cid, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{"-1"}, Type: 2}) for index,link := range linkTagInfos { logger.Info("联动任务的录像信号：",index) ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: link.CameraId, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{strconv.Itoa(index)}, Type: 2}) if flag { var target1 = new(Target) target1.TargetId = target.Id target1.TargetScore = target.Score target1.TargetLocation = Points{TopLeft: Point{target.Location.X, target.Location.Y}, BottomRight: Point{target.Location.X + target.Location.Width, target.Location.Y + target.Location.Height}} targetInfos = append(targetInfos, *target1) } logger.Warn("__________________________________________往ES插入yolo数据成功") //os.Exit(1) } } } } else { logger.Debug("timeLabel条件都不符合！") // 联动图像的处理 linkTagInfos := []*LinkInfo{} for _, yoloResult := range msg.RuleResult["yolo"].([]structure.Result) { if (yoloResult.Others.TimeLabel == "01" || yoloResult.Others.TimeLabel == "10") && yoloResult.Others.LinkCache != nil && len(yoloResult.Others.LinkCache) > 1 { for _, msg2 := range yoloResult.Others.LinkCache { // 把msg2的数据装配成一个PerVideoPicture结构体 if msg2.Cid != msg.Cid { linkTagInfos = append(linkTagInfos, msg2PersonVideo(msg2)) } } } } linkTag := "" if len(linkTagInfos) > 0 { linkTag = "联动任务" } isAlarm := false resp := make(map[string]interface{}) // 解压缩并上传图片 bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) if len(alarmRules) > 0 { isAlarm = true //resp, err = util.PostFormBufferData(weedfsUrl, i, uuid.NewV4().String()) resp, err = util.DrawPolygonOnImageForYolo(msg.Cid, i, msg.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err != nil { logger.Error("画框或上传图片服务器出错", err) return } else { logger.Info("上传的图片信息：", resp) } } else { isAlarm = false // 不是报警数据不存 return } if resp["fileUrl"] != nil { url = append(url, resp["fileUrl"].(string)) //esDataId := uuid.NewV4().String() peraction := PerVideoPicture{ msg.Push.PushId, msg.Cid, msg.Push.Cam.Addr, msg.Push.Cam.Name, time.Now().Format("2006-01-02 15:04:05"), url, msg.Tasklab.Taskid, msg.Tasklab.Taskname, sdkNames, time.Now().Format("2006-01-02 15:04:05"), alarmRules, i.Timestamp, "", "", "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", isAlarm, false, false, false, nil, targetInfos, linkTag, linkTagInfos, } requstbody, err := json.Marshal(peraction) if len(linkTagInfos) > 0 { logger.Info("联动任务1111") } if err != nil { logger.Info("json parse error ", err) return } resp1, err2 := EsReq("POST", videoPersonUrl, requstbody) if err2 != nil { logger.Error("往ES插入数据失败", err) } else { logger.Debug("插入es返回的数据信息是（yolo）：", resp1) // 发出录像信号 ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: msg.Cid, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{"-1"}, Type: 2}) for index, link := range linkTagInfos { logger.Info("联动任务的录像信号：", index) ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: link.CameraId, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{strconv.Itoa(index)}, Type: 2}) } logger.Warn("__________________________________________往ES插入yolo数据成功") //os.Exit(1) } } } } else { logger.Debug("timeLabel条件都不符合！") } } @@ -514,25 +471,28 @@ func InsertTarget(msg structure.ResultMsg) { if msg.RuleResult["target"] != nil && len(msg.RuleResult["target"].([]structure.Result)) > 0 { // 先判断一下数据带的规则标签是否有可以插入的 logger.Info("插入定时目标信息：",len(msg.RuleResult["target"].([]structure.Result))) logger.Info("插入定时目标信息：", len(msg.RuleResult["target"].([]structure.Result))) for _, yoloResult := range msg.RuleResult["target"].([]structure.Result) { for _, tar := range yoloResult.AlarmObj { // 装载目标信息 logger.Info("报警目标个数：",len(yoloResult.AlarmObj),tar.AreaJson,tar.Location,tar.Score) var target = new(Target) target.TargetId = strconv.FormatUint(tar.Id, 10) target.TargetScore = tar.Score target.TargetLocation = Points{TopLeft: Point{tar.Location.X, tar.Location.Y}, BottomRight: Point{tar.Location.X + tar.Location.Width, tar.Location.Y + tar.Location.Height}} //logger.Info("人脸的id:",strconv.FormatUint(face.Id, 10)) var targetInfos []Target targetInfos = append(targetInfos, *target) // 装载目标信息` // 如果有首次报警的则本帧数据可以插入 insertFlag := false alarmNum := 0 for _, obj := range yoloResult.AlarmObj { if obj.TimeLable == "10" { insertFlag = true alarmNum++ } } if insertFlag { logger.Info("报警目标个数：", alarmNum) // 获取目标缓存图片 url := []string{} //InsertYolo(msg.RuleResult["cacheData"].(ruleserver.ResultMsg)) // 把缓存的数据上传后得到地址存进去 // 解压缩并上传图片 url1 := uploadImg(tar.CacheData) url = append(url,url1) url1 := uploadImg(yoloResult.AlarmObj[0].CacheData) url = append(url, url1) // 添加报警规则组 sdkNames := "" alarmRules := []AlarmRule{} @@ -559,7 +519,7 @@ if len(linkTagInfos) > 0 { linkTag = "联动任务" } isAlarm := 0 isAlarm := false resp := make(map[string]interface{}) // 解压缩并上传本帧数据图片 bdata1, err := util.UnCompress(msg.Data) @@ -569,7 +529,7 @@ i := protomsg.Image{} err = proto.Unmarshal(bdata1, &i) if len(alarmRules) > 0 { isAlarm = 1 isAlarm = true //resp, err = util.PostFormBufferData(weedfsUrl, i, uuid.NewV4().String()) resp, err = util.DrawPolygonOnImageForYolo(msg.Cid, i, msg.RuleResult["target"].([]structure.Result), weedfsUrl) if err != nil { @@ -579,66 +539,95 @@ logger.Info("上传的图片信息：", resp) } } else { isAlarm = 0 isAlarm = false // 不是报警数据不存 return } // 整合目标 var targetInfos []Target for _, target := range yoloResult.AlarmObj { // 去重添加 var flag = true for _, selectTarget := range targetInfos { if target.Id == selectTarget.TargetId { flag = false break } } if flag { var target1 = new(Target) target1.TargetId = target.Id target1.TargetScore = target.Score target1.TargetLocation = Points{TopLeft: Point{target.Location.X, target.Location.Y}, BottomRight: Point{target.Location.X + target.Location.Width, target.Location.Y + target.Location.Height}} targetInfos = append(targetInfos, *target1) } } if resp["fileUrl"] != nil { url = append(url, resp["fileUrl"].(string)) if len(url) == 1 { return } //esDataId := uuid.NewV4().String() peraction := Personaction{ tar.Uuid, peraction := PerVideoPicture{ msg.Push.PushId, msg.Cid, msg.Push.Cam.Name, msg.Push.Cam.Addr, msg.Push.Cam.Name, i.Timestamp, url, msg.Tasklab.Taskid, msg.Tasklab.Taskname, sdkNames, "", alarmRules, time.Now().Format("2006-01-02 15:04:05"), "", "", "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", url, i.Timestamp, "", isAlarm, 0, 0, 0, targetInfos, false, false, false, nil, nil, linkTag, linkTagInfos, } requstbody, err := json.Marshal(peraction) if len(linkTagInfos)>0 { if len(linkTagInfos) > 0 { logger.Info("联动任务1111") } if err != nil { logger.Info("json parse error ", err) return } resp1, err2 := EsReq("POST", personAction, requstbody) resp1, err2 := EsReq("POST", videoPersonUrl, requstbody) if err2 != nil { logger.Error("往ES插入数据失败", err) } else { logger.Debug("插入es返回的数据信息是（target）：", resp1) // 发出录像信号 ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: msg.Cid, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{"-1"}, Type: 2}) for index,link := range linkTagInfos { logger.Info("联动任务的录像信号：",index) for index, link := range linkTagInfos { logger.Info("联动任务的录像信号：", index) ruleserver.AddLxMessage(&protomsg.VideotapeInfo{EsDataId: msg.Push.PushId, CameraId: link.CameraId, TaskId: msg.Tasklab.Taskid, VideoUrl: msg.Push.VideoUrl, ImgId: i.Id, SdkIds: []string{strconv.Itoa(index)}, Type: 2}) } logger.Warn("__________________________________________往ES插入target数据成功") //os.Exit(1) } } } else { logger.Info("没有首次报警的目标，不插入") } } } } // 获取本机ip func GetLocalIP() (ipv4 string, err error) { var ( @@ -693,14 +682,14 @@ return alarm } func uploadImg(msg structure.ResultMsg) string{ func uploadImg(msg structure.ResultMsg) string { bdata, err := util.UnCompress(msg.Data) if err != nil { panic("解压缩图片时出现错误") } i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) resp1, err1 := util.DrawPolygonOnImageForYolo(msg.Cid, i, msg.RuleResult["target"].([]structure.Result), weedfsUrl) resp1, err1 := util.DrawPolygonOnImageForTarget(msg.Cid, i, msg.RuleResult["target"].([]structure.Result), weedfsUrl) if err1 != nil { logger.Error("缓存数据画框或上传图片服务器出错", err) } else { @@ -712,6 +701,7 @@ return "" } } //获取年龄描述 func getDescription(age int32) string { ageInfo := "青年" @@ -739,6 +729,33 @@ race = "黑人" } return race } func Feature2Jsonstr(obj ObjAndRules) (string, string) { var lable string var lableAttach string switch obj.Type { case "face": sex := "" if obj.ThftRes.Gender == 1 { sex = "男" } else { sex = "女" } race := getRaceString(obj.ThftRes.Race) ageDescription := getDescription(obj.ThftRes.Age) lable = sex + "/" + ageDescription + "/" + race + "/" lableAttach = strconv.Itoa(int(obj.ThftRes.Age)) + "岁" + "/" + "微笑值：" + strconv.Itoa(int(obj.ThftRes.Smile)) + "/" + "颜值：" + strconv.Itoa(int(obj.ThftRes.Beauty)) case "plate": // 车牌运动方向，0 unknown, 1 left, 2 right, 3 up, 4 down logger.Info("车辆车牌信息：",obj.Car.NColor,obj.Car.NCarColor,obj.Car.NCarLogo,obj.Car.NCarType,obj.Car.NDirection) lable = obj.Car.License + "/" + cache.GetDic("nColor"+strconv.Itoa(int(obj.Car.NColor))) + "车牌" + "/" + cache.GetDic("nCarColor"+strconv.Itoa(int(obj.Car.NCarColor))) + "车辆" + "/" + cache.GetDic("nCarLogo"+strconv.Itoa(int(obj.Car.NCarLogo))) + "/" + cache.GetDic("nCarType"+strconv.Itoa(int(obj.Car.NCarType))) lableAttach = cache.GetDic("nDirection"+strconv.Itoa(int(obj.Car.NDirection))) + "/" + "车牌置信度：" + strconv.Itoa(int(obj.Car.NConfidence)) + "/" + "车牌亮度：" + strconv.Itoa(int(obj.Car.NBright)) + "/" + "车的亮度：" + strconv.Itoa(int(obj.Car.NCarBright)) + "/" + "识别时间：" + strconv.Itoa(int(obj.Car.NTime)) } return lable, lableAttach } func msg2PersonVideo(msg structure.ResultMsg) *LinkInfo { @@ -797,14 +814,14 @@ // 去重添加 var flag = true for _, selectTarget := range targetInfos { if strconv.FormatUint(target.Id, 10) == selectTarget.TargetId { if target.Id == selectTarget.TargetId { flag = false break } } if flag { var target1 = new(Target) target1.TargetId = strconv.FormatUint(target.Id, 10) target1.TargetId = target.Id target1.TargetScore = target.Score target1.TargetLocation = Points{TopLeft: Point{target.Location.X, target.Location.Y}, BottomRight: Point{target.Location.X + target.Location.Width, target.Location.Y + target.Location.Height}} targetInfos = append(targetInfos, *target1) @@ -812,7 +829,7 @@ } } } isAlarm := 0 isAlarm := false resp := make(map[string]interface{}) // 解压缩并上传图片 bdata, err := util.UnCompress(msg.Data) @@ -822,7 +839,7 @@ i := protomsg.Image{} err = proto.Unmarshal(bdata, &i) if len(alarmRules) > 0 { isAlarm = 1 isAlarm = true //resp, err = util.PostFormBufferData(weedfsUrl, i, uuid.NewV4().String()) resp, err = util.DrawPolygonOnImageForYolo(msg.Cid, i, msg.RuleResult["yolo"].([]structure.Result), weedfsUrl) if err != nil { @@ -832,7 +849,7 @@ logger.Info("上传的图片信息：", resp) } } else { isAlarm = 0 isAlarm = false // 不是报警数据不存 return nil } @@ -845,31 +862,24 @@ msg.Push.Cam.Addr, msg.Push.Cam.Name, i.Timestamp, "", []string{resp["fileUrl"].(string)}, msg.Tasklab.Taskid, msg.Tasklab.Taskname, "人脸", "", alarmRules, time.Now().Format("2006-01-02 15:04:05"), // 只检测，没有比对时间 "", //暂改为人脸id strconv.FormatUint(face.Id, 10) 0, "", // 暂改为分值fmt.Sprintf("%.2f",face.Score) "", 0, 0, "", []string{resp["fileUrl"].(string)}, "", msg.Push.ServerId, msg.Push.ServerName, msg.Push.LocalIp, "", 0, isAlarm, 0, 0, 0, false, false, false, nil, targetInfos, }
