| | |
| | | ) |
| | | |
| | | // 人员异常算法 |
| | | func Entrance(rule *protomsg.Rule, am *structure.AreaMap) structure.LittleRuleResult { |
| | | func Entrance(rule *protomsg.Rule, am *structure.AreaMap,lable *structure.Others,args *structure.SdkDatas,message *protomsg.SdkMessage) structure.LittleRuleResult { |
| | | 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 |
| | | logger.Debug("---------走了人员异常算法",rule.Id,rule.SdkArgAlias,rule.Operator,rule.SdkArgValue,am.AreaId) |
| | | 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 |
| | | if rule.SdkArgAlias == "score" || rule.SdkArgAlias == "proportion" || rule.SdkArgAlias == "size" || rule.SdkArgAlias == "" { // 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 |
| | | return filterRule(rule, am) |
| | | } else if rule.SdkArgAlias == "objCount" { |
| | | return transferParameters(rule, am) |
| | |
| | | // 过滤规则先筛选出符合条件的目标数量 |
| | | func filterRule(rule *protomsg.Rule, am *structure.AreaMap) structure.LittleRuleResult { |
| | | // 处理的都是yolo数据 |
| | | 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 |
| | | var args []*structure.Arg |
| | | if rule.RuleWithPre == "&&" { |
| | |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort} |
| | | } else { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort} |
| | | } |
| | | } |
| | | } |
| | | return structure.LittleRuleResult{} |