修改人脸检测的打印

chenshijun

2019-04-08 a2dee087defb9e36165bedb5e4b895704d624e6f

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#include "FaceExtractServerI.h"
#include <basic/util/app/AppPreference.hpp>
#include <QtCore/QString>
#include <QtCore/QSharedMemory>
#include <basic/timer_counter/Clocktimer.h>
#include <THFeature_i.h>
//#include <basic/util/opencv/CvUtil.h>
 
FaceExtractServerI::FaceExtractServerI() {
    long threadMax = appPref.getIntData("thread.max");
    long gpuIndex = appPref.getIntData("gpu.index");
    for (int i = 0; i < threadMax; i++) {
        extractResourcesManager.pushResource(i);
    }
    if (gpuIndex < 0) {
        CHKERR(EF_Init(threadMax), threadMax, "EF_Init returns ");
    } else {
        EF_Param *param = new EF_Param[threadMax];
        for (int i = 0; i < threadMax; i++) {
            param[i].nDeviceID = gpuIndex;
        }
 
        CHKERR(EF_Init_Ex(threadMax, param), threadMax, "EF_Init returns ");
        delete[] param;
    }
}
 
FaceExtractServerI::~FaceExtractServerI() {
    EF_Release();
}
 
FaceDetect::Data FaceExtractServerI::faceExtract(Ice::Int width, Ice::Int height, const FaceDetect::FacePos &pos,
                                                 const std::string &shareMemoryName, const Ice::Current &) {
    ClockTimer ct("FaceExtractServerI::faceExtract");
    INFO("faceExtract");
    QSharedMemory shareMemory(QString(shareMemoryName.c_str()));
    FaceDetect::Data feature;
    if (shareMemory.attach()) {
        auto data = shareMemory.constData();
        THFI_FacePos facesPos;
        int channel = extractResourcesManager.getAvilableChannel(shareMemoryName);
        memcpy(&facesPos, &pos, sizeof(facesPos) - sizeof(facesPos.pFacialData));
        memcpy(facesPos.pFacialData, pos.pFacialData.data(), sizeof(facesPos.pFacialData));
        feature.resize(EF_Size());
//        INFO("faceExtract channel:" << channel << " width:" << width << " height:"  << height);
 
//        {
//            //#todo
//            std::string string1(AppUtil::getTimeString() +".jpg");
//            DBG("save Image fe:" << string1);
//            cv::Mat image(height, width, CV_8UC3, (u_char *)data);
//            cv::imwrite(string1, image);
//
//            cv::Rect area(facesPos.rcFace.left, facesPos.rcFace.top, \
//            facesPos.rcFace.right - facesPos.rcFace.left, facesPos.rcFace.bottom-facesPos.rcFace.top);
//            cv::Mat img_region = image(area);
//            std::string string2("face_" + string1);
//            cv::imwrite(string2, img_region);
//        }
        INFO("facesPos:nQuality:"  << facesPos.nQuality << "; rect[left:" << facesPos.rcFace.left << " top:" << \
        facesPos.rcFace.top << " right:" << facesPos.rcFace.right << " bottom:" << facesPos.rcFace.bottom << "]");
        int ret = EF_Extract(channel, (BYTE *) data, width, height, 3, &facesPos, feature.data());
        if (ret != 1) {
            ERR("THFP_Execute_V2 faild, returns " << ret)
        }
        return feature;
    } else {
        ERR("shareMemory attach faild");
//        throw std::runtime_error("shareMemory attach faild");
    }
    return feature;
 
}