60 lines
1.9 KiB
C
60 lines
1.9 KiB
C
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/**
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* 列车信息推理结果转换引擎
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* */
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#ifndef TRANSTRAINENGINE_H
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#define TRANSTRAINENGINE_H
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#include "AppCommon.h"
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#include "MyYaml.h"
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#include "EngineBase.h"
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#include "EngineFactory.h"
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class TransTrainEngine : public ai_matrix::EngineBase
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{
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public:
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TransTrainEngine();
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~TransTrainEngine();
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APP_ERROR Init() override;
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APP_ERROR DeInit() override;
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APP_ERROR Process() override;
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private:
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void InitParam();
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//校验车型是否符合验证
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bool AuthTransNum(int classId, const std::string &trainNum);
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//过滤第二步字段代号的误识别
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void FilterSingleData(std::vector<SingleData> &vecObjs, TargetMaxLen iMaxLen);
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//属性框内容转换
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void TransPro(TransSubData &transSubData, std::map<int, std::vector<SingleData>> &mapLine);
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//车号框内容转换
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void TransNum(TransSubData &transSubData, std::map<int, std::vector<SingleData>> &mapLine);
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//车头框内容转换
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void TransHead(TransSubData &transSubData, std::map<int, std::vector<SingleData>> &mapLine);
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void RecordNum(const TransSubData &transSubData, const std::shared_ptr<ProcessData> &pProcessData);
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bool SaveMiddleNumCsv(const std::vector<pair<string, uint32_t>> &vecNums, const std::shared_ptr<ProcessData> &pProcessData,
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int iSourceId);
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//push数据到队列，队列满时则休眠一段时间再push
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void PushData(const std::string &strPort, const std::shared_ptr<ProcessData> &pProcessData);
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bool bUseEngine_;
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std::string strPort0_;
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ai_matrix::ModelConfig modelConfig_;
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std::string strResultPath_;
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std::vector<std::string> vecClassNames_; // 分类名称集合
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std::map<int, bool> mapDataSourceIsEnd_; //[key-数据源id, value-数据是否结束]
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std::map<int, std::map<std::string, uint32_t>> mapNumInfo_;
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std::map<int, uint32_t> mapPreFrameId_;
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int iSkipInterval_;
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};
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ENGINE_REGIST(TransTrainEngine)
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#endif
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