| | |
| | | "basic.com/pubsub/protomsg.git" |
| | | "github.com/knetic/govaluate" |
| | | ) |
| | | |
| | | func init () { |
| | | bigCache.Init() |
| | | } |
| | | // 任务 |
| | | type Task struct { |
| | | camID string //摄像机ID |
| | |
| | | |
| | | // 把sdk从数据帧上提取的按照区域分类归置 |
| | | func SdkDataFormat(cameraId string, arg *SdkData, cameraPolygons []protomsg.CameraPolygon) { |
| | | logger.Info("--------看看解析出来的数据---",*arg) |
| | | for _, polygon := range cameraPolygons { |
| | | //logger.Println("++++++在这儿看一下区域啊:", polygon.Polygon) |
| | | areaMap := AreaMap{cameraId: cameraId, areaId: polygon.Id, areaJson: polygon.Polygon, triggerLine: polygon.TriggerLine, directionLine: polygon.DirectionLine} |
| | |
| | | |
| | | // } |
| | | for _, obj := range arg.Photo { |
| | | logger.Info("------------------看看sdkData:", arg.SdkName, "的Photo数据----------------", obj, "----顺便看看占比-----:", PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale)) |
| | | //logger.Info("------------------看看sdkData:", arg.SdkName, "的Photo数据----------------", obj, "----顺便看看占比-----:", PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale)) |
| | | if threshold <= obj.Score && size <= float64(obj.Rects.Width*obj.Rects.Height) && intersectionper <= PgsInterPercent(areaPoints, obj.Rects, widthScale, heigthScale) { |
| | | // 这步要备齐表达式里所需要的所有参数 |
| | | a.targetNum++ |
| | |
| | | func filterRule(rule *protomsg.Rule, am *AreaMap) LittleRuleResult { |
| | | if rule.SdkId == "812b674b-2375-4589-919a-5c1c3278a97e" || rule.SdkId == "812b674b-2375-4589-919a-5c1c3278a972" { |
| | | // 处理的是人脸算法 如果这条规则配置的是人脸算法,过滤完条件之后直接得出结果,因为肯定没有数量条件,自己拼接 |
| | | logger.Error("规则的算法id和区域的算法id:", rule.SdkId, "===", am.sdkId) |
| | | logger.Info("规则的算法id和区域的算法id:", rule.SdkId, "===", am.sdkId) |
| | | if rule.SdkId == am.sdkId && 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" { |