修改人脸检测的打印

chenshijun

2019-04-08 a2dee087defb9e36165bedb5e4b895704d624e6f

修改人脸检测的打印

 QiaoJiaSystem/FaceDetectServer/FaceExtractServerI.cpp

@@ -4,6 +4,7 @@
#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");
@@ -41,6 +42,23 @@
        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)
@@ -50,5 +68,6 @@
        ERR("shareMemory attach faild");
//        throw std::runtime_error("shareMemory attach faild");
    }
    return feature;

}

 QiaoJiaSystem/FaceDetectServer/main_detect.cpp

@@ -57,7 +57,8 @@
    IceRpcServer<FaceDetectServerI> server("faceServer", appPref.getIntData("RpcFDPort"), "tcp");
    server.setMessageSizeMax(1024 * 1024 * 50);
    server.setPoolInitSize(appPref.getIntData("thread.max"));
    server.setPoolMaxSize(appPref.getIntData("thread.max"));
    DBG("MaxPoolSize: " << std::max(appPref.getIntData("thread.max")*2, 32));
    server.setPoolMaxSize(std::max(appPref.getIntData("thread.max")*2, 32));
    server.runWaitShutDown();
    return 0;
}

 QiaoJiaSystem/FaceDetectServer/main_extract.cpp

@@ -51,6 +51,10 @@
    if (argc < 4) {
        assert("t_value.size()");
    }
//    appPref.setIntData("gpu.index", 0);
//    appPref.setIntData("RpcFEPort", 10021);
//    appPref.setIntData("thread.max", 1);//线程池大小

    appPref.setIntData("gpu.index", atoi(argv[1]));
    appPref.setIntData("RpcFEPort", atoi(argv[2]));
    appPref.setIntData("thread.max", atoi(argv[3]));//线程池大小
@@ -58,7 +62,8 @@
    IceRpcServer<FaceExtractServerI> server("faceExtractServer", appPref.getIntData("RpcFEPort"), "tcp");
    server.setMessageSizeMax(1024 * 1024 * 50);
    server.setPoolInitSize(appPref.getIntData("thread.max"));
    server.setPoolMaxSize(appPref.getIntData("thread.max"));
    DBG("MaxPoolSize: " << std::max(appPref.getIntData("thread.max")*2, 32));
    server.setPoolMaxSize(std::max(appPref.getIntData("thread.max")*2, 32));
    server.runWaitShutDown();
    return 0;
}

 QiaoJiaSystem/StructureApp/FaceExtractElement.cpp

@@ -108,15 +108,19 @@

            unsigned long size = faceExtractQueueTmp[i].facesPos.size();
            for (int j = 0; j < size; j++) {
                auto feature = extractServer->faceExtract(image.cols, image.rows, faceExtractQueueTmp[i].facesPos[j],
                                                          sharedMemory->key().toStdString());
//                {
//                    //#todo
//                    string string1(
//                        AppUtil::getTimeString() + "-ff3" + faceExtractQueueTmp[i].scoredRects[j].properties["time"] +
//                        ".jpg");
//                    DBG("save Image:" << string1);
//                    cv::imwrite(string1, image);
//                }

                auto feature = extractServer->faceExtract(image.cols, image.rows, faceExtractQueueTmp[i].facesPos[j],
                                                          sharedMemory->key().toStdString());


                if (feature.empty()) {
                    INFO("No Face Find: " << getProperty("imgKey"));
                    continue;