派生自 ruleprocess
algorithm/car/plate.go
@@ -1,22 +1,21 @@ 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 { @@ -29,12 +28,12 @@ // 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 @@ -47,48 +46,36 @@ for _, arg := range args { var formula string switch rule.SdkArgAlias { case "score": formula = strconv.FormatFloat(arg.Score, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("相似度小公式：", formula) case "proportion": formula = strconv.FormatFloat(arg.Proportion, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("占比公式：", formula) case "size": formula = strconv.FormatFloat(arg.Size, 'f', -1, 64) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("尺寸小公式：", formula) case "license": formula = arg.Car.License + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("当前车牌号码小公式：", formula) case "nColor": formula = strconv.Itoa(int(arg.Car.NColor)) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("车牌颜色小公式：", formula) case "nConfidence": formula = strconv.Itoa(int(arg.Car.NConfidence)) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("整牌可信度小公式：", formula) case "nBright": formula = strconv.Itoa(int(arg.Car.NBright)) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("车牌亮度评价小公式：", formula) case "nDirection": formula = strconv.Itoa(int(arg.Car.NDirection)) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("车牌运动方向小公式：", formula) case "nCarBright": formula = strconv.Itoa(int(arg.Car.NCarBright)) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("车的亮度小公式：", formula) case "nCarColor": formula = strconv.Itoa(int(arg.Car.NCarColor)) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("车的颜色小公式：", formula) case "nCarLogo": formula = strconv.Itoa(int(arg.Car.NCarLogo)) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("车标类型小公式：", formula) case "nCarType": formula = strconv.Itoa(int(arg.Car.NCarType)) + " " + rule.Operator + " " + rule.SdkArgValue logger.Info("车辆类型小公式：", formula) //case "nCarModel": // formula = strconv.Itoa(int(arg.Car.ncm)) + " " + rule.Operator + " " + rule.SdkArgValue // logger.Info("识别成功与否小公式：", formula) //case "nCarModelConfidence": // formula = strconv.Itoa(int(arg.Car.NCarModelConfidence)) + " " + rule.Operator + " " + rule.SdkArgValue // logger.Info("车型可信度小公式：", formula) 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) case "nVehicleColor1": formula = strconv.Itoa(int(arg.Car.NVehicleColor1)) + " " + rule.Operator + " " + rule.SdkArgValue //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) case "fConfidence": formula = arg.Car.VehicleType1 + " " + rule.Operator + " " + rule.SdkArgValue //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) case "nPlateFlag": formula = strconv.Itoa(int(arg.Car.NPlateFlag)) + " " + rule.Operator + " " + rule.SdkArgValue //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) case "nConfidence": formula = strconv.Itoa(int(arg.Car.NConfidence)) + " " + rule.Operator + " " + rule.SdkArgValue //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) case "nType": formula = strconv.Itoa(int(arg.Car.NType)) + " " + rule.Operator + " " + rule.SdkArgValue //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 @@ -98,16 +85,16 @@ } 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{} @@ -119,13 +106,14 @@ //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) 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 }
