| | |
| | | package main |
| | | |
| | | import ( |
| | | "basic.com/pubsub/protomsg.git" |
| | | "basic.com/valib/logger.git" |
| | | "github.com/knetic/govaluate" |
| | | "ruleprocess/structure" |
| | | "strconv" |
| | | "basic.com/pubsub/protomsg.git" |
| | | "github.com/knetic/govaluate" |
| | | "ruleprocess/structure" |
| | | "strconv" |
| | | ) |
| | | |
| | | // 车牌算法 |
| | | |
| | | 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 |
| | | if rule.SdkArgAlias != "nCarCount" && rule.SdkArgAlias != "nCarLogoCount" { |
| | | logger.Info("过滤车牌信息") |
| | | if rule.SdkArgAlias != "nCarCount" { |
| | | //logger.Info("过滤车牌信息") |
| | | return filterRule(rule, am) |
| | | } else { |
| | | logger.Info("计算车牌车辆数量") // 目前只能检测出车牌数量 |
| | | //logger.Info("计算车牌车辆数量") // 目前只能检测出车牌数量 |
| | | return transferParameters(rule, am) |
| | | } |
| | | } else { |
| | |
| | | // 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 |
| | | carFlag := rule.SdkArgAlias == "license" || rule.SdkArgAlias == "nColor" || rule.SdkArgAlias == "nConfidence" || |
| | | rule.SdkArgAlias == "nBright" || rule.SdkArgAlias == "nTime" || rule.SdkArgAlias == "nCarBright" || rule.SdkArgAlias == "nCarColor" || |
| | | rule.SdkArgAlias == "nCarLogo" || rule.SdkArgAlias == "nCarType" || rule.SdkArgAlias == "nCarModel" || rule.SdkArgAlias == "nCarModelConfidence" |
| | | carFlag := rule.SdkArgAlias == "license" || rule.SdkArgAlias == "nConfidence" || rule.SdkArgAlias == "fConfidence" || |
| | | rule.SdkArgAlias == "nType" || rule.SdkArgAlias == "nVehicleColor1" || rule.SdkArgAlias == "nVehicleBright" || rule.SdkArgAlias == "nCarColor" || |
| | | rule.SdkArgAlias == "fVDConf" || rule.SdkArgAlias == "nVehicleColor2" || rule.SdkArgAlias == "nColor" || rule.SdkArgAlias == "nPlateFlag" |
| | | |
| | | if rule.SdkArgAlias == "score" || rule.SdkArgAlias == "proportion" || rule.SdkArgAlias == "size" || carFlag{ // 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.Debug("---------走了车牌识别过滤算法",rule.Id,rule.SdkArgAlias,rule.Operator,rule.SdkArgValue,am.AreaId) |
| | | //logger.Debug("---------走了车牌识别过滤算法",rule.Id,rule.SdkArgAlias,rule.Operator,rule.SdkArgValue,am.AreaId) |
| | | var args []*structure.Arg |
| | | if rule.RuleWithPre == "&&" { |
| | | args = am.FilterData |
| | |
| | | switch rule.SdkArgAlias { |
| | | case "fVDConf": |
| | | formula = strconv.FormatFloat(arg.Score, 'f', -1, 32) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车辆置信度小公式:", formula) |
| | | //logger.Info("车辆置信度小公式:", formula) |
| | | case "nVehicleColor1": |
| | | formula = strconv.Itoa(int(arg.Car.NVehicleColor1)) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车身主颜色小公式:", formula) |
| | | //logger.Info("车身主颜色小公式:", formula) |
| | | case "nVehicleColor2": |
| | | formula = strconv.Itoa(int(arg.Car.NVehicleColor2)) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车身辅颜色小公式:", formula) |
| | | //logger.Info("车身辅颜色小公式:", formula) |
| | | case "fConfidence": |
| | | formula = arg.Car.VehicleType1 + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车辆类型小公式:", formula) |
| | | //logger.Info("车辆类型小公式:", formula) |
| | | case "nVehicleBright": |
| | | formula = strconv.Itoa(int(arg.Car.NVehicleBright)) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车辆亮度小公式:", formula) |
| | | //logger.Info("车辆亮度小公式:", formula) |
| | | case "nPlateFlag": |
| | | formula = strconv.Itoa(int(arg.Car.NPlateFlag)) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("识别到车牌小公式:", formula) |
| | | //logger.Info("识别到车牌小公式:", formula) |
| | | case "license": |
| | | formula = arg.Car.License + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车牌号码小公式:", formula) |
| | | //logger.Info("车牌号码小公式:", formula) |
| | | case "nConfidence": |
| | | formula = strconv.Itoa(int(arg.Car.NConfidence)) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车牌可信度小公式:", formula) |
| | | //logger.Info("车牌可信度小公式:", formula) |
| | | case "nColor": |
| | | formula = strconv.Itoa(int(arg.Car.NColor)) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车牌颜色小公式:", formula) |
| | | //logger.Info("车牌颜色小公式:", formula) |
| | | case "nType": |
| | | formula = strconv.Itoa(int(arg.Car.NType)) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车牌类型小公式:", formula) |
| | | //logger.Info("车牌类型小公式:", formula) |
| | | } |
| | | expression, _ := govaluate.NewEvaluableExpression(formula) // 得到数学公式 |
| | | result, _ := expression.Evaluate(nil) // 得到数学公式的结果 |
| | |
| | | } |
| | | am.TargetNum = len(am.FilterData) // 把符合条件的目标数量更新到targetNum字段 |
| | | if am.TargetNum > 0 { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort} |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort,am.FilterData} |
| | | } else { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort} |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort,am.FilterData} |
| | | } |
| | | |
| | | } else if rule.SdkArgAlias == "" { |
| | | if am.TargetNum > 0 { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort} |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "true", rule.Sort,am.FilterData} |
| | | } else { |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort} |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + "" + "false", rule.Sort,am.FilterData} |
| | | } |
| | | } |
| | | return structure.LittleRuleResult{} |
| | |
| | | //logger.Info("当前小规则是:---------", rule) |
| | | //logger.Info("得出结果阶段", "比较的规则是:", rule) |
| | | if rule.Operator == "" { |
| | | return structure.LittleRuleResult{am.SdkName, strconv.Itoa(am.TargetNum) + "" + rule.RuleWithPre, rule.Sort} // 如果后面不跟操作符就直接返回数量 比如要跟下一个区域比较数量的就直接返回本区域的数量 |
| | | return structure.LittleRuleResult{am.SdkName, strconv.Itoa(am.TargetNum) + "" + rule.RuleWithPre, rule.Sort,am.FilterData} // 如果后面不跟操作符就直接返回数量 比如要跟下一个区域比较数量的就直接返回本区域的数量 |
| | | } |
| | | //args := am.targetNum targetNum 已成所有目标的总数量,这里只算yolo的 |
| | | var num int = len(am.FilterData) |
| | | formula := strconv.Itoa(num) + " " + rule.Operator + " " + rule.SdkArgValue |
| | | logger.Info("车辆数量公式",formula) |
| | | //logger.Info("车辆数量公式",formula) |
| | | expression, _ := govaluate.NewEvaluableExpression(formula) // 得到数学公式 |
| | | result, _ := expression.Evaluate(nil) // 得到数学公式的结果 |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + " " + strconv.FormatBool(result.(bool)), rule.Sort} |
| | | return structure.LittleRuleResult{am.SdkName, rule.RuleWithPre + " " + strconv.FormatBool(result.(bool)), rule.Sort,am.FilterData} |
| | | // 加上关于算法的判断条件,不能只有关于规则的,有的算法本身就是一个规则,如个体静止,靠右行,所以,拿到当前子规则的sdkid来判断是否是那些特殊的规则 |
| | | } |