派生自 ruleprocess
ruleserver/ruleToformula.go
@@ -89,8 +89,8 @@ triggerLine string directionLine string targetNum int // 区域内目标数量 args []Arg // 区域内目标集合 filterData []Arg // 过滤后区域内目标集合 args []*Arg // 区域内目标集合 filterData []*Arg // 过滤后区域内目标集合 time string // 当前时间（用以匹配时间规则） keepRight bool // 是否靠右行 isStatic bool // 是否静止 @@ -115,7 +115,7 @@ IsStatic bool // 是否静止 ImageWidth int // 摄像机拍摄的图像宽 像素 ImageHeight int // 摄像机拍摄的图像高 像素 AreaMapList []AreaMap // 本sdk提取的数据按照区域划分后的数据集合 AreaMapList []*AreaMap // 本sdk提取的数据按照区域划分后的数据集合 } // 从算法模块儿拿来的对一帧图像各个算法提取的数据集合 @@ -180,7 +180,7 @@ areaMap := 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 areaMap.CountAreaObjs(arg) arg.AreaMapList = append(arg.AreaMapList, areaMap) arg.AreaMapList = append(arg.AreaMapList, &areaMap) } } @@ -222,6 +222,25 @@ } } } func (arg *Arg) fillLiker(){ bytes := bigCache.Getdbpersonmsg("", arg.Feature, true) var m map[string]float32 err1 := json.Unmarshal(bytes, &m) if err1 != nil { logger.Error("getBaseInfo解压错误", err1) } logger.Info("----------------------------------------map是", m) for key, val := range m { logger.Info("_______________________________________对比库的返回值", key, val) baseinfo, err1 := esutil.Dbpersoninfosbyid(key) if err1 != nil { logger.Error("查询底库人员信息出错", err1) } baseinfo.CompareScore = val arg.Liker = append(arg.Liker, &baseinfo) } //logger.Info("------------------第一次看args:",*arg) } func Compare(args *SdkDatas, groupRule *protomsg.GroupRule) { compareFlag := 0 tableIds := "" @@ -253,22 +272,7 @@ if groupRule.Rules[j].PolygonId == areaMap.areaId { for _, arg := range areaMap.args { if compareFlag == 1 { bytes := bigCache.Getdbpersonmsg("", arg.Feature, true) var m map[string]float32 err1 := json.Unmarshal(bytes, &m) if err1 != nil { logger.Error("getBaseInfo解压错误", err1) } logger.Info("----------------------------------------map是", m) for key, val := range m { logger.Info("_______________________________________对比库的返回值", key, val) baseinfo, err1 := esutil.Dbpersoninfosbyid(key) if err1 != nil { logger.Error("查询底库人员信息出错", err1) } baseinfo.CompareScore = val arg.Liker = append(arg.Liker, &baseinfo) } arg.fillLiker() } if compareFlag == 2 { array := strings.Split(tableIds, ",") @@ -292,6 +296,7 @@ logger.Info("-------------------成功给liker赋值,长度为：", len(arg.Liker)) } areaMap.filterData = areaMap.args logger.Info("=======第一次看args：",areaMap.filterData) } } } @@ -323,7 +328,7 @@ if ipcId == sdkData.IpcId { logger.Info("当前走的规则的算法是--：", sdkName, "---") for _, areaMap := range sdkData.AreaMapList { ruleResult := filterRule(groupRule.Rules[j], &areaMap) ruleResult := filterRule(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { logger.Info("条件规则结果：", ruleResult.Result) // 如果此结果为真且当前过的是yolo算法，应记下此规则所对应的sdkName,另外，还要去重 @@ -349,7 +354,7 @@ sdkName := sdk.SdkName if ipcId == sdkData.IpcId { for _, areaMap := range sdkData.AreaMapList { ruleResult := transferParameters(groupRule.Rules[j], &areaMap) ruleResult := transferParameters(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { logger.Info("数量规则结果：", ruleResult.Result) if ruleResult.Result == "true" && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { @@ -372,7 +377,7 @@ sdkName := sdk.SdkName if ipcId == sdkData.IpcId { for _, areaMap := range sdkData.AreaMapList { ruleResult := timeRuleResult(groupRule.Rules[j], &areaMap) ruleResult := timeRuleResult(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { logger.Info("时间规则结果：", ruleResult.Result) if ruleResult.Result == "true" && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { @@ -395,7 +400,7 @@ if ipcId == sdkData.IpcId { for _, areaMap := range sdkData.AreaMapList { // 去开启一个定时器 duration(groupRule.Rules[j], groupRule.GroupId, &areaMap, args) duration(groupRule.Rules[j], groupRule.GroupId, areaMap, args) } } } @@ -462,7 +467,7 @@ for _, sdkData := range args.Sdkdata { if sdkData.IpcId == "A8B73405-373D-4F23-CED2-A617EBD7EC55" && faceFlag { // sdkData里有人脸数据且配置了算法才把符合条件的数据塞进标签里去 for _, areaMap := range sdkData.AreaMapList { faces = append(faces, putFaceToResult(&areaMap)...) faces = append(faces, putFaceToResult(areaMap)...) } } } @@ -475,7 +480,7 @@ for _, sdkData := range args.Sdkdata { if sdkData.IpcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && sdkNames != "" { // 把yolo数据的各个目标的坐标输出方便后面画框 for _, areaMap := range sdkData.AreaMapList { locations = append(locations, putYolosToResult(&areaMap)...) locations = append(locations, putYolosToResult(areaMap)...) } } } @@ -517,7 +522,7 @@ faces := []Arg{} if len(am.filterData) > 0 { for _, data := range am.filterData { faces = append(faces, data) faces = append(faces, *data) } } @@ -554,8 +559,8 @@ a.targetNum++ arg1 := Arg{obj.Score, PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale), float64(obj.Rects.Width * obj.Rects.Height), obj.IsYolo, obj.Rects, obj.Feature, obj.ThftRes, []*protomsg.Baseinfo{}} //logger.Println("放进去的arg：-------", arg1) a.args = append(a.args, arg1) a.filterData = append(a.filterData, arg1) a.args = append(a.args, &arg1) a.filterData = append(a.filterData, &arg1) } } a.time = time.Unix(time.Now().Unix(), 0).String()[11:16] @@ -723,7 +728,7 @@ // 如果是不规矩的连接符统统返回false 规则也只能判断人脸的相似度，所以不存在别的连接符 if rule.SdkArgAlias == "score" || rule.SdkArgAlias == "proportion" || rule.SdkArgAlias == "size" { // 判断的是相似值，占比，尺寸等过滤条件，如果再有，还可以再加 logger.Info("--------------------终于等到你的下文") var args []Arg var args []*Arg if rule.RuleWithPre == "&&" { args = am.filterData } else { @@ -772,7 +777,7 @@ if rule.PolygonId == am.areaId { // 首先这条规则得是这个算法的规则，其次规则所对应的区域id要跟区域数据的id对的上 if rule.SdkArgAlias == "score" || rule.SdkArgAlias == "proportion" || rule.SdkArgAlias == "size" { // 判断的是相似值，占比，尺寸等过滤条件，如果再有，还可以再加 logger.Info("----------当前条件规则：---------", rule) var args []Arg var args []*Arg if rule.RuleWithPre == "&&" { args = am.filterData } else {
