| | |
| | | TaskId string // 任务id |
| | | SdkName string |
| | | RuleGroupId string // 规则组id |
| | | DefenceState bool //是否布防 |
| | | AlarmLevel int32 // 报警等级 |
| | | RuleText string // 文字版规则组 |
| | | Location []Rect // 目标的坐标 |
| | |
| | | // 过规则库打上的标签 |
| | | type FaceResult struct { |
| | | Result |
| | | Args []*Arg |
| | | Args []Arg |
| | | } |
| | | type LittleRuleResult struct { |
| | | SdkName string // 记录下此结果是哪个sdk的结果 |
| | |
| | | // 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{}) |
| | | args.RuleResult["yolo"] = []Result{} |
| | | args.RuleResult["face"] = []Arg{} |
| | | args.RuleResult["face"] = []FaceResult{} |
| | | if taskGroup != nil && len(taskGroup.GroupRules) > 0 { |
| | | for _, group := range taskGroup.GroupRules { |
| | | //logger.Println("------------------------------任务规则:",taskRule) |
| | |
| | | } |
| | | } |
| | | } |
| | | if faceFlag { |
| | | args.RuleResult["face"] = faces |
| | | for _,face := range faces { |
| | | logger.Debug("————————————————________________看看人脸的坐标:",face.Location) |
| | | } |
| | | logger.Warn("___________________________________________________________________________终于走完万里长征") |
| | | // 把他们的位置数据也传下去 |
| | |
| | | } |
| | | logger.Debug("------locations的内容:", locations) |
| | | if sdkNames != "" { |
| | | args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, sdkNames, groupRule.GroupId, groupRule.AlarmLevel, groupRule.GroupText, locations, polygonId}) |
| | | args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, sdkNames, groupRule.GroupId,groupRule.DefenceState,groupRule.AlarmLevel, groupRule.GroupText, locations, polygonId}) |
| | | logger.Info("-------------------yolo结果标签长度", len(args.RuleResult["yolo"].([]Result))) |
| | | } |
| | | if args.RuleResult["face"] != nil { |
| | | logger.Info("-------------------face结果标签", len(args.RuleResult["face"].([]Arg))) |
| | | if faceFlag { |
| | | args.RuleResult["face"] = append(args.RuleResult["face"].([]FaceResult), FaceResult{Result{taskId, sdkNames, groupRule.GroupId,groupRule.DefenceState,groupRule.AlarmLevel, groupRule.GroupText, []Rect{}, polygonId},faces}) |
| | | logger.Info("-------------------face结果标签", len(args.RuleResult["face"].([]FaceResult))) |
| | | } |
| | | // 最后过持续时间等时间维度的条件 把时间规则位置调整到这个位置是为了缓存数据 |
| | | for j := 0; j < len(groupRule.Rules); j++ { |
| | |
| | | result, _ := expression.Evaluate(nil) // 得到数学公式的结果 |
| | | if result.(bool) { |
| | | logger.Info("___________________________________________________________________联动任务报警") |
| | | args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, "", groupRule.GroupId, groupRule.AlarmLevel, groupRule.GroupText, []Rect{}, ""}) |
| | | args.RuleResult["yolo"] = append(args.RuleResult["yolo"].([]Result), Result{taskId, "", groupRule.GroupId, groupRule.DefenceState,groupRule.AlarmLevel, groupRule.GroupText, []Rect{}, ""}) |
| | | logger.Info("-------------------yolo结果标签有几个", len(args.RuleResult["yolo"].([]Result))) |
| | | if args.RuleResult["face"] != nil { |
| | | logger.Info("-------------------face结果标签有几个", len(args.RuleResult["face"].([]Arg))) |
| | |
| | | var args []*Arg |
| | | if rule.RuleWithPre == "&&" { |
| | | args = am.filterData |
| | | logger.Info("过滤后的args的长度为:",len(args)) |
| | | } else { |
| | | args = am.args |
| | | logger.Info("没过滤的args的长度为:",len(args)) |
| | | } |
| | | // 先清空过滤后的数据,再往里塞本次过滤后的数据 |
| | | am.filterData = am.filterData[0:0] |
| | |
| | | timeLength, _ := strconv.Atoi(rule.SdkArgValue) |
| | | timeEle := TimeElement{N: timeLength, InitN: timeLength, AlarmFlag: false, BufferFlag: 10, CacheSdkData: ResultMsg{message, args.RuleResult}} // 扔进去一个定时器元素(并缓存当前画面帧数据) |
| | | //TimeEleList = make(map[string]timeElement) |
| | | TimeEleList[groupId+" "+rule.Id] = &timeEle // 定时器元素以摄像机id拼接区域id为键 |
| | | TimeEleList[groupId+" "+rule.Id] = &timeEle // 定时器元素以组规则id和当前持续时间小规则id为键 |
| | | logger.Info("创建了计数器并且计数器集合为:", TimeEleList) |
| | | } |
| | | } |