#include "FaceExtractElement.h"
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#include <basic/util/app/AppPreference.hpp>
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#include <QtCore/QSharedMemory>
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#include <QtCore/QString>
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#include <basic/util/app/AppUtil.h>
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#include <basic/util/opencv/CvUtil.h>
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#include <basic/util/app/AppPreference.hpp>
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//diao用对应es数据封装的类
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//#include <basic/db/ES/es/ManagerEsDB.h>
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#include <basic/db/Elasticsearch/EsDBTool.h>
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#include <QtCore/QJsonDocument>
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#include <QtCore/QJsonObject>
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#include <uuid/uuid.h>
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#include <jsoncpp/json/json.h>
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#include <basic/util/app/AppConfig.h>
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#define state "state"
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void StringReplace(string &strBase, string strSrc, string strDes) {
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string::size_type pos = 0;
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string::size_type srcLen = strSrc.size();
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string::size_type desLen = strDes.size();
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pos = strBase.find(strSrc, pos);
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while ((pos != string::npos)) {
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strBase.replace(pos, srcLen, strDes);
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pos = strBase.find(strSrc, (pos + desLen));
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}
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}
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FaceExtractElement::FaceExtractElement(std::string shareMemoryName, const SdkRule &rule) :
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TimerElement(1000), sharedMemory(nullptr), fdfsClient(nullptr),
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//#todo appPref.setStringData
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faceExtractRpcClient(appPref.getStringData("faceExte.proxy"), appPref.getStringData("faceExte.ip"),
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appPref.getIntData("faceExte.port"), "tcp"),
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// faceExtractRpcClient(/*appPref.getStringData("face.extract.proxy")*/
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// "faceExtractServer", "", 10008, "tcp"),//人脸特征提取 修改成点对点通讯
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faceSearchRpcClient(appPref.getStringData("faceSear.proxy"), appPref.getStringData("faceSear.ip"),
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appPref.getIntData("faceSear.port"), "tcp"),
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// faceSearchRpcClient("faceCmServer", "", 10004, "tcp")
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m_sdkRule(rule),
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m_rpcClient("RtspAnalysServer", "127.0.0.1", appPref.getIntData("RpcServerPort"), "tcp") {
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sharedMemory = new QSharedMemory(QString(shareMemoryName.c_str()));
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if (!sharedMemory->create(4608 * 2592 * 4)) {
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sharedMemory->attach();
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}
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}
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FaceExtractElement::~FaceExtractElement() {
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if (sharedMemory) {
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delete sharedMemory;
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}
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}
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void FaceExtractElement::submitFaceExtract(FaceToExtract faceToExtract) {
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std::lock_guard<std::mutex> lg(imageQueueMutex);
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if (faceExtractQueue.size() >= VECTOR_MAX) {
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ERR("FaceExtractElement::submitFaceExtract too fast, imageQueue.size()>=QUEUE_MAX")
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return;
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}
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faceExtractQueue.push_back(faceToExtract);
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}
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void FaceExtractElement::timerFunc() {
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INFO("MYH Run Here");
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std::vector<FaceToExtract> faceExtractQueueTmp;
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{
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std::lock_guard<std::mutex> lg(imageQueueMutex);
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if (faceExtractQueue.empty()) {
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ERR("faceExtractQueue.empty ");
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return;
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}
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faceExtractQueueTmp.swap(faceExtractQueue);
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faceExtractQueue.clear();
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}
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try {
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string t_camIdex = getProperty("dev_id") + getProperty("ch_id");
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float t_com_sc = m_sdkRule.nThreshold == 0 ? 75 : m_sdkRule.nThreshold;
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DBG(" TESTCODE getValue" << t_camIdex << " " << t_com_sc << " " << t_com_sc / 100);
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t_com_sc = t_com_sc / 100;
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for (int i = 0; i < faceExtractQueueTmp.size(); i++) {
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auto extractServer = faceExtractRpcClient.getServer();
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if (!extractServer) {
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ERR("extractServer is null");
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return;
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}
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auto &image = faceExtractQueueTmp[i].image;
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auto sharedImage = cv::Mat(image.rows, image.cols, CV_8UC3, sharedMemory->data());
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image.copyTo(sharedImage);
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unsigned long size = faceExtractQueueTmp[i].facesPos.size();
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for (int j = 0; j < size; j++) {
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auto feature = extractServer->faceExtract(image.cols, image.rows, faceExtractQueueTmp[i].facesPos[j],
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sharedMemory->key().toStdString());
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// {
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// //#todo
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// string string1(
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// AppUtil::getTimeString() + "-ff3" + faceExtractQueueTmp[i].scoredRects[j].properties["time"] +
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// ".jpg");
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// cv::imwrite(string1, image);
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// }
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if (feature.empty()) {
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INFO("No Face Find: " << getProperty("imgKey"));
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continue;
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}
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features.clear();
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features.emplace_back(feature);
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std::string strImgUrl = "http://";
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if (fdfsClient != nullptr && fdfsClient->fastFds != nullptr) {
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fdfsClient->rwLock.rdlock();
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std::vector<unsigned char> buffer;
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CvUtil::cvMat2Buffer(faceExtractQueueTmp[i].faceImages[j], buffer);
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std::string strImgUrlTmp = "";
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fdfsClient->fastFds->uploadFile(buffer, strImgUrlTmp, "jpg");
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// strImgUrl.append(fdfsClient->fastFds->getIp() + "/" + strImgUrlTmp);
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DBG("strImgUrlTmp=" << strImgUrlTmp);
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strImgUrl.clear();
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strImgUrl = strImgUrlTmp;
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// strImgUrl.append("/").append(strImgUrlTmp);
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fdfsClient->rwLock.unlock();
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} else {
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strImgUrl = "";
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ERR("fdfsClient is nullptr ???");
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}
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//拼接json
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string str_uuid;
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uuid_t t_uuid;
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char str[36];
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uuid_generate(t_uuid);
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uuid_unparse(t_uuid, str);
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str_uuid = str;
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Json::Value t_json;
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t_json["Id"] = str_uuid; //主键
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//#在对比中添加特征值
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t_json["FaceFeature"] = "base64";
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t_json["personId"] = "";//关联底库人员id,人脸id
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t_json["BaseName"] = "";//关联底库表名
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//#end
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// t_json["likePer"] = faceExtractQueueTmp[i].scoredRects[j].score;//人员相似度 Score
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t_json["likeDate"] = AppUtil::getTimeSecString();//"2018-01-01 01:01:01";//比较时间
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t_json["picName"] = "";
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t_json["personPicUrl"] = "";//人员图片 store
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t_json["picAddress"] = getProperty("str_addr");//抓拍地址
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DBG("picAddress=" << t_json["picAddress"]);
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t_json["picMaxUrl"] = "";//大图路径
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t_json["picLocalUrl"] = "";//本地路径
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t_json["picSmUrl"] = strImgUrl;//人员抓小图
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//#todo
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t_json["picDate"] = faceExtractQueueTmp[i].scoredRects[j].properties["time"];
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DBG("picDate=" << t_json["picDate"].asString());
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// DBG("timeC ::::B" << t_json["picDate"m_bIsMask].asString());
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// t_json["picDate"] = AppUtil::getTimeSecString();
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t_json["content"] = "";
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//t_json["viType"] = "2";//只有4种类型 1:personface 2:personbody 3:car 4:bicycle 5:none 未知类型
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t_json["sdkType"] = std::to_string(
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m_sdkRule.nSdkType);//只有4种类型 1:personface 2:personbody 3:car 4:bicycle 5:none 未知类型
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t_json["personIsHub"] = "4";//1: 报警 2: 可疑 3: 安全 4: 未知
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t_json["cluster_id"] = appPref.getStringData("clusterID");
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t_json["ack_alarm"] = "0";
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//faceExtractElement.setProperty("dev_id", str_device_id);
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//faceExtractElement.setProperty("cg_id", str_ch_id);
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t_json["videoNum"] = getProperty("dev_id");//Video设备编号//getProperty("path");//Vide编号 外键
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t_json["videoReqNum"] = getProperty("dev_id");//Video设备编号
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t_json["ChannlId"] = getProperty("ch_id");//通道id
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t_json["isDelete"] = "1";//默认1 ,0无效 1有效
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//人脸属性
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t_json["Age"] = atoi(
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faceExtractQueueTmp[i].scoredRects[j].properties["age"].c_str());//检测的年龄 应该为空 无检测结果
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//#todo 优化 get vector<string> from json
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t_json["Gender"] = faceExtractQueueTmp[i].scoredRects[j].properties["gender"];//检测的性别 为空 无检测结果
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switch (atoi(faceExtractQueueTmp[i].scoredRects[j].properties["gender"].c_str())) {
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case 0:
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t_json["Gender"] = "女";
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break;
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case 1:
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t_json["Gender"] = "男";
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break;
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}
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t_json["BeautyLevel"] = faceExtractQueueTmp[i].scoredRects[j].properties["beauty"];//检测的美化水平 为空 无检测结果
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t_json["SimleLevel"] = faceExtractQueueTmp[i].scoredRects[j].properties["smile"];//检测的微笑水平 为空 无检测结果
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t_json["Race"] = "";//检测的种族 应该为空 无检测结果
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t_json["videoIp"] = getProperty("local_ip");//当前服务器IP地址
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t_json["cluster_id"] = appConfig.getStringProperty("clusterID");//集群id
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t_json["ack_alarm"] = "0";//ack_alarm是否报警
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//#todo 优化 get vector<string> from json
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switch (atoi(faceExtractQueueTmp[i].scoredRects[j].properties["race"].c_str())) {
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case 1:
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t_json["Race"] = "白人";
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break;
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case 2:
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t_json["Race"] = "黄人";
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break;
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case 3:
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t_json["Race"] = "黑人";
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break;
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}
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// DBG(t_json.toStyledString());
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t_json["indeviceid"] = appPref.getStringData("fxDevID");
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t_json["indevicename"] = appPref.getStringData("fxDevNAME");
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std::string strImageKey = faceExtractQueueTmp[i].scoredRects[j].properties["imgKey"];
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INFO("SaveImageKey To ES: " << strImageKey);
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t_json["imgKey"] = strImageKey;
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try {
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auto server = m_rpcClient.getServer();
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if (!server) {
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ERR("server is null");
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//return;
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}
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INFO("Record Video " << strImageKey);
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server->recordVideo(strImageKey);
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} catch (std::exception &e) {
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ERR("Record Video Err: " << strImageKey << " Message: " << e.what());
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//return;
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}
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auto faceSearchServer = faceSearchRpcClient.getServer();
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if (!faceSearchServer) {
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ERR("faceSearchServer is null");
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EsDBTool pManagerEsDB(appPref.getStringData("ipAdd"), appPref.getIntData("ipPort"));
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bool retface = false;
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retface = pManagerEsDB.insertData("videopersons", "perVideoPicture", t_json.toStyledString(),
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str_uuid);
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// if (retface) {
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// INFO("facedb success");
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// } else {
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// ERR("facedb fail");
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// }
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} else {
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INFO("send faceSearchTopN ");
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auto faceSearchResults = faceSearchServer->faceSearchTopN(feature, t_json.toStyledString(), 2,
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t_com_sc);
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}
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}
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}
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} catch (std::exception &e) {
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ERR(e.what())
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}
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if (!features.empty())fireConnectors();
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}
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std::vector<::FaceDetect::Data> FaceExtractElement::getFeatures() const {
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return features;
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}
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