派生自 ruleprocess
ruleserver/ruleToformula.go
@@ -40,6 +40,7 @@ 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） isEffective bool // 规则中是否用到了此区域 keepRight bool // 是否靠右行 isStatic bool // 是否静止 } @@ -90,6 +91,7 @@ RuleText string // 文字版规则组 Location []Rect // 目标的坐标 AlarmPolygon string // 触发的报警框 IsLink bool // 是否是联动任务 Others } type Others struct { @@ -120,7 +122,7 @@ SdkDataFormat(args.CameraId, arg, cameraPolygons) } // 跑本摄像机的所有规则组 一组一组跑 taskGroup := GetRuleGroup(args.CameraId, args.TaskId) // 本摄像机下所有任务组 taskGroup := GetRuleGroup(args.CameraId, args.TaskId) // 本摄像机本任务下所有规则组 //logger.Println("看下摄像机下的任务组：",taskRuleList) // 得到属于该摄像机的若干组任务的完整规则（跟每一条完整规则比较之后得出本张图像对于某个规则是否报警的结果。放进map，比如本帧图像的id，所碰撞成功的规则id） args.RuleResult = make(map[string]interface{}) @@ -188,6 +190,10 @@ ruleResult := filterRule(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { logger.Info("条件规则结果：", ruleResult.Result) // 如果结果为真，把这条规则中的区域置为有效 if strings.Contains(ruleResult.Result,"true") { areaMap.isEffective = true } // 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 (后加：把此条触碰的区域id也记录下来) if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { sdkNames = sdkName + "," @@ -217,6 +223,9 @@ for _, areaMap := range sdkData.AreaMapList { ruleResult := transferParameters(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { if strings.Contains(ruleResult.Result,"true") { areaMap.isEffective = true } logger.Info("数量规则结果：", ruleResult.Result) if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { sdkNames = sdkName + "," @@ -243,6 +252,9 @@ for _, areaMap := range sdkData.AreaMapList { ruleResult := timeRuleResult(groupRule.Rules[j], areaMap) if ruleResult.Result != "" { if strings.Contains(ruleResult.Result,"true") { areaMap.isEffective = true } logger.Info("时间规则结果：", ruleResult.Result) if strings.Contains(ruleResult.Result, "true") && ipcId == "02D54B61-0F16-C604-8567-FC4BE493C523" && !strings.Contains(sdkNames, sdkName) { sdkNames = sdkName + "," @@ -318,7 +330,9 @@ 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)...) if areaMap.isEffective { faces = append(faces, putFaceToResult(areaMap, faces)...) } } } } @@ -336,13 +350,27 @@ } } //logger.Debug("------locations的内容：", locations) var islink bool if groupRule.SetType == "linkTask" { islink = true } else { islink = false } if sdkNames != "" { args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, sdkNames, groupRule.GroupId, groupRule.DefenceState, groupRule.AlarmLevel, groupRule.GroupText, locations, polygonId, label}) args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, sdkNames, groupRule.GroupId, groupRule.DefenceState, groupRule.AlarmLevel, groupRule.GroupText, locations, polygonId, islink,label,}) //logger.Info("-------------------yolo结果标签长度", len(args.RuleResult["yolo"].([]Result))) } if faceFlag { args.RuleResult["face"] = append(args.RuleResult["face"].([]FaceResult), FaceResult{Result{taskId, sdkNames, groupRule.GroupId, groupRule.DefenceState, groupRule.AlarmLevel, groupRule.GroupText, []Rect{}, polygonId, label}, faces}) args.RuleResult["face"] = append(args.RuleResult["face"].([]FaceResult), FaceResult{Result{taskId, sdkNames, groupRule.GroupId, groupRule.DefenceState, groupRule.AlarmLevel, groupRule.GroupText, []Rect{}, polygonId, islink,label,}, faces}) //logger.Info("-------------------face结果标签", len(args.RuleResult["face"].([]FaceResult))) logger.Info("过完规则时查看人脸标签：") if args.RuleResult["face"] != nil && len(args.RuleResult["face"].([]FaceResult)) > 0 { for _, faceResult := range args.RuleResult["face"].([]FaceResult) { for _,arg := range faceResult.Args { logger.Info("人员分值是：",arg.Score,"liker的数量为",arg.Liker) } } } } return true } else { @@ -375,7 +403,6 @@ } } } //logger.Println("-----------------------------------------------听说你是空的？",faces) return faces } @@ -519,12 +546,13 @@ //logger.Info("规则的算法id和区域的算法id：", rule.SdkId, "===", am.sdkId) if rule.PolygonId == am.areaId { // 算法和区域都得对的上 if rule.SdkId == "812b674b-2375-4589-919a-5c1c3278a972" && rule.SdkArgAlias != "time_rule" && rule.SdkArgAlias != "compareBase" { if rule.SdkId == "812b674b-2375-4589-919a-5c1c3278a972" && rule.SdkArgAlias != "time_rule"{ //logger.Debug("当前小规则是：",rule) flag := "false" // 把没有相似者的人脸从filterData中删除 for index := 0; index < len(am.filterData); { // 将达不到阈值的相似者从相似者数组中删除 logger.Info("看看相似者人数：",len(am.filterData[index].Liker)) if len(am.filterData[index].Liker) == 0 { // Go 语言中切片删除元素的本质是：以被删除元素为分界点，将前后两个部分的内存重新连接起来。不用怀疑，数组删除元素就这么坑爹 am.filterData = append(am.filterData[:index], am.filterData[index+1:]...) @@ -535,6 +563,7 @@ if len(am.filterData) > 0 { flag = "true" } logger.Info("---------人脸比对符合条件的数量为：",len(am.filterData)) return LittleRuleResult{am.sdkName, rule.RuleWithPre + "" + flag, rule.Sort} } if rule.SdkId == "812b674b-2375-4589-919a-5c1c3278a97e" { // 人脸检测 @@ -542,7 +571,7 @@ if rule.Operator == "==" || rule.Operator == ">=" || rule.Operator == "<=" || rule.Operator == "<" || rule.Operator == ">" || rule.Operator == "!=" { // 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") logger.Info("-----------------------过规则之前区域内的人脸数量为：",am.targetNum) var args []*Arg if rule.RuleWithPre == "&&" { args = am.filterData @@ -581,7 +610,7 @@ return LittleRuleResult{am.sdkName, rule.RuleWithPre + "" + "false", rule.Sort} } } else { return LittleRuleResult{am.sdkName, rule.RuleWithPre + "" + "false", rule.Sort} return LittleRuleResult{} } } else { return LittleRuleResult{}
