#include <iostream>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/opencv.hpp>
#include <opencv2/dnn.hpp>
#include "boost/property_tree/ptree.hpp"
#include "boost/property_tree/json_parser.hpp"
#include "boost/foreach.hpp"
#include "boost/optional.hpp"
#include <fstream>
#include <sstream>
#include <iostream>
#include <opencv2/dnn.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/objdetect.hpp>
#include <map>
#include <vector>
#include <string>
#include <chrono>
#include <thread>
#include <iomanip>
#include "ANSFR.h"
#include "fastdeploy/vision.h"
#include "ANSFilePlayer.h"
#include <opencv2/dnn_superres.hpp>
#include <nvjpeg.h>

using namespace cv;
using namespace dnn;
using namespace std;

template<typename T>
T GetOptionalValue(const boost::property_tree::ptree& pt, std::string attribute, T defaultValue) {
    if (pt.count(attribute)) {
        return pt.get<T>(attribute);
    }
    return defaultValue;
}

template <typename T>
T GetData(const boost::property_tree::ptree& pt, const std::string& key)
{
    T ret;
    if (boost::optional<T> data = pt.get_optional<T>(key))
    {
        ret = data.get();
    }
    return ret;
}

typedef struct {
    int width;
    int height;
    unsigned char* buffer;
    unsigned long data_size;
} my_bitmap_type;

std::vector<unsigned char> EncodeToJpegData(const my_bitmap_type* image)
{
    nvjpegHandle_t nv_handle;
    nvjpegEncoderState_t nv_enc_state;
    nvjpegEncoderParams_t nv_enc_params;
    cudaStream_t stream = NULL;

    nvjpegStatus_t er;
    nvjpegCreateSimple(&nv_handle);
    nvjpegEncoderStateCreate(nv_handle, &nv_enc_state, stream);
    nvjpegEncoderParamsCreate(nv_handle, &nv_enc_params, stream);
    nvjpegEncoderParamsSetSamplingFactors(nv_enc_params, NVJPEG_CSS_444, stream);

    nvjpegImage_t nv_image;
    nv_image.channel[0] = image->buffer;
    nv_image.pitch[0] = 3 * image->width;

    er = nvjpegEncodeImage(nv_handle, nv_enc_state, nv_enc_params, &nv_image,
        NVJPEG_INPUT_BGRI, image->width, image->height, stream);

    size_t length = 0;
    nvjpegEncodeRetrieveBitstream(nv_handle, nv_enc_state, NULL, &length, stream);

    cudaStreamSynchronize(stream);
    std::vector<unsigned char> jpeg(length);
    nvjpegEncodeRetrieveBitstream(nv_handle, nv_enc_state, jpeg.data(), &length, 0);

    nvjpegEncoderParamsDestroy(nv_enc_params);
    nvjpegEncoderStateDestroy(nv_enc_state);
    nvjpegDestroy(nv_handle);

    return jpeg;
}
int InsertUsers(std::string databaseFilePath,std::string recognizerFilePath, std::string detectorFilePath) {

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath, databaseFilePath.c_str(), recognizerFilePath.c_str(), detectorFilePath.c_str(),1);

    std::cout << "Insert users.\n";
    string userId = "0001";
    string userName = "Tien";

    int userid= InsertUser(&infHandle, userId.c_str(), userName.c_str());
    std::cout << "user id:" << userid << " has been inserted" << std::endl;
    userId = "0002";
    userName = "Tuan";

    userid=InsertUser(&infHandle, userId.c_str(), userName.c_str());
    std::cout << "user id:" << userid << " has been inserted" << std::endl;


    std::cout << "End of inserting users.\n";
    ReleaseANSRFHandle(&infHandle);

    return 0;
}
int InsertFaces(std::string databaseFilePath, std::string recognizerFilePath, std::string detectorFilePath,std::string imageFolder) {

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath, databaseFilePath.c_str(), recognizerFilePath.c_str(), detectorFilePath.c_str(),1);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;

    int userId = 1;
    unsigned int bufferLength = 0;
    //string imagePath = "C:\\Programs\\DemoAssets\\NV\\Ng Viet Xuan Nhi.png";// "C:\\Programs\\DemoAssets\\Images\\Hoang.jpg";;// imageFolder + "\\SuperImages\\Tom.jpg";
   //string imagePath = "C:\\Programs\\DemoAssets\\NV\\OtherIssues\\Tuan_Anh\\TA5.jpg";// "C:\\Programs\\DemoAssets\\Images\\Hoang.jpg";;// imageFolder + "\\SuperImages\\Tom.jpg";
    string imagePath = "C:\\Programs\\DemoAssets\\NV\\No\\canread.png";// "C:\\Programs\\DemoAssets\\Images\\Hoang.jpg";;// imageFolder + "\\SuperImages\\Tom.jpg";

    cv::Mat frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    unsigned char* jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    int height = frame.rows;
    int width = frame.cols;
    InsertFaceBinary(& infHandle, userId, jpeg_string,width,height);
    delete jpeg_string;

  /*
    imagePath = imageFolder+"\\SuperImages\\Tom1.jpg";
    frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    height = frame.rows;
    width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;

    userId = 2;
    imagePath = imageFolder+"\\SuperImages\\Jil.jpg";
    frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    height = frame.rows;
    width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;


    imagePath = imageFolder+"\\SuperImages\\Jil1.jpg";
    frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    height = frame.rows;
    width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;

    imagePath = imageFolder+"\\SuperImages\\Jil2.jpg";
    frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    height = frame.rows;
    width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;*/

    std::cout << "End of inserting faces.\n";
    ReleaseANSRFHandle(&infHandle);

    return 0;
}
int RunInferenceTest(std::string databaseFilePath, std::string recognizerFilePath,std::string facedetectorPath, std::string imagePath) {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = facedetectorPath;
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), 
                                    configFilePath, 
                                    databaseFilePath.c_str(), 
                                    recognizerFilePath.c_str(), 
                                    detectorFilePath.c_str(),0.65,1,1,1);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;
    Reload(&infHandle);
    unsigned int bufferLength = 0;
    cv::Mat frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    unsigned char* jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    int height = frame.rows;
    int width = frame.cols;
    string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);
    delete jpeg_string;
    std::cout << "Result:"<< detectionResult;
    if (!detectionResult.empty()) {
        pt.clear();
        std::stringstream ss;
        ss.clear();
        ss << detectionResult;
        boost::property_tree::read_json(ss, pt);
        BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
        {
            const boost::property_tree::ptree& result = child.second;
            const auto class_id = GetData<int>(result, "user_id");
            const auto class_name = GetData<std::string>(result, "user_name");
            const auto x = GetData<float>(result, "x");
            const auto y = GetData<float>(result, "y");
            const auto width = GetData<float>(result, "width");
            const auto height = GetData<float>(result, "height");
            cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
            cv::putText(frame, cv::format("%s:%d", class_name, class_id), cv::Point(x, y - 5),
                0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
        }
    }

    cv::imshow("ANS Face detection", frame);
    if (cv::waitKey(0) == 27) // Wait for 'esc' key press to exit
    {
        std::cout << "End of inserting faces.\n";
    }
    std::cout << "End of inserting faces.\n";
    ReleaseANSRFHandle(&infHandle);
    cudaDeviceReset();

	//ReleaseLoggers();
    return 0;
}
int TestManagementAPI(std::string databaseFilePath, std::string recognizerFilePath) {
  
    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath, databaseFilePath.c_str(), recognizerFilePath.c_str(), detectorFilePath.c_str(),1);
    std::vector<int> userIds;
    Reload(&infHandle);
    string userRecords;
    GetUsersString(&infHandle, userRecords,userIds);
    std::cout << "User  records: " << userRecords << std::endl;

    string userRecord;
    GetUserString(&infHandle, 1, userRecord);
    std::cout << "User  record: " << userRecord << std::endl;


    string faceRecord;
    GetFaceString(& infHandle, 1, faceRecord);
    std::cout << "Face  record: " << faceRecord << std::endl;

    string faceRecords;
    GetFacesString(&infHandle, 1, faceRecords);
    std::cout << "Face  records: " << faceRecords << std::endl;
    ReleaseANSRFHandle(&infHandle);
    return 0;
}
int RunDetectTest(std::string databaseFilePath, std::string recognizerFilePath, std::string imagePath) {

    const char* configFilePath = "";
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath, databaseFilePath.c_str(), recognizerFilePath.c_str(), detectorFilePath.c_str(),1);
    unsigned int bufferLength = 0;
    cv::Mat frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    unsigned char* jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    int height = frame.rows;
    int width = frame.cols;
    string detectionResult = RunANSRFDetectorBinary(&infHandle, jpeg_string, width, height);
    std::cout << "Result:" << detectionResult;

    if (!detectionResult.empty()) {
        pt.clear();
        std::stringstream ss;
        ss.clear();
        ss << detectionResult;
        boost::property_tree::read_json(ss, pt);
        BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
        {
            const boost::property_tree::ptree& result = child.second;
            const auto class_id = GetData<int>(result, "user_id");
            const auto class_name = GetData<string>(result, "user_name");
            const auto x = GetData<float>(result, "x");
            const auto y = GetData<float>(result, "y");
            const auto width = GetData<float>(result, "width");
            const auto height = GetData<float>(result, "height");
            cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
            cv::putText(frame, cv::format("%s:%d", class_name, class_id), cv::Point(x, y - 5),
                0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);

        }
    }
    cv::imshow("ANS Face detection", frame);
    if (cv::waitKey(0) == 27) // Wait for 'esc' key press to exit
    {
        std::cout << "End of inserting faces.\n";
    }
    delete jpeg_string;
    ReleaseANSRFHandle(&infHandle);
    return 0;
}
int DeleteFaces(std::string databaseFilePath, std::string recognizerFilePath) {

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath, databaseFilePath.c_str(), recognizerFilePath.c_str(), detectorFilePath.c_str(), 1);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::vector<int> userIds;
    std::string userRecords;
    GetUsersString(&infHandle, userRecords, userIds);
    for (int i = 0; i < userIds.size(); i++) {
        DeleteUser(&infHandle, userIds[i]);
    }
    std::cout << "End of deleting faces.\n";
    ReleaseANSRFHandle(&infHandle);
    return 0;
}
int TestANSVISNoUserCase(std::string databaseFilePath, std::string recognizerFilePath, std::string detectorFilePath, std::string imagePath) {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath, databaseFilePath.c_str(), recognizerFilePath.c_str(), detectorFilePath.c_str(), 1);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;
    Reload(&infHandle);
    unsigned int bufferLength = 0;
    cv::Mat frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    unsigned char* jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    int height = frame.rows;
    int width = frame.cols;
    string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);
    std::cout << "Result:" << detectionResult;
    if (!detectionResult.empty()) {
        pt.clear();
        std::stringstream ss;
        ss.clear();
        ss << detectionResult;
        boost::property_tree::read_json(ss, pt);
        BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
        {
            const boost::property_tree::ptree& result = child.second;
            const auto class_id = GetData<int>(result, "user_id");
            const auto class_name = GetData<std::string>(result, "user_name");
            const auto x = GetData<float>(result, "x");
            const auto y = GetData<float>(result, "y");
            const auto width = GetData<float>(result, "width");
            const auto height = GetData<float>(result, "height");
            cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
            cv::putText(frame, cv::format("%s:%d", class_name, class_id), cv::Point(x, y - 5),
                0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
        }
    }
    cv::imshow("ANS Face detection", frame);
    if (cv::waitKey(0) == 27) // Wait for 'esc' key press to exit
    {
        std::cout << "End of inserting faces.\n";
    }
    delete jpeg_string;
    std::cout << "End of inserting faces.\n";
    ReleaseANSRFHandle(&infHandle);
    return 0;
}
int TestCompleteFR() {
    std::filesystem::path currentPath = "C:\\Programs\\DemoAssets";
    std::string databaseFilePath = currentPath.string() + "\\ANSFRDB\\ANSFR.db";
    std::string recognizerFilePath =  "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(GPU)_v1.0.zip";
    //std::string imagePath = "C:\\Programs\\DemoAssets\\Images\\TestFaces\\SuperImages\\Tom.jpg";
	std::string imagePath = "C:\\Programs\\DemoAssets\\Images\\TestFaces\\SuperImages\\FaceRecordings\\1\\0001_138x138.jpg";
    std::string imageFolder = "C:\\Programs\\DemoAssets\\Images\\TestFaces";

    //TestANSVISNoUserCase(databaseFilePath, recognizerFilePath, facedetectorFilePath, imagePath);
    //InsertUsers(databaseFilePath, recognizerFilePath, facedetectorFilePath);
    InsertFaces(databaseFilePath, recognizerFilePath, facedetectorFilePath,imageFolder);
    //RunInferenceTest(databaseFilePath, recognizerFilePath, facedetectorFilePath,imagePath);
    //DeleteFaces(databaseFilePath, recognizerFilePath);
    std::cout << "End of program.\n";
}

int TestFaceRecognition() {
    // Get the current working directory
    //std::filesystem::path currentPath = "C:\\Programs\\DemoAssets";
    //std::string databaseFilePath = currentPath.string() + "\\ANSFRDB\\ANSFR.db";
    //std::string recognizerFilePath = currentPath.string() + "\\ANSAIModels\\ANS_FaceRecognizer_v1.0.zip";
    //std::string facedetectorFilePath = currentPath.string() + "\\ANSAIModels\\ANS_GenericFD(GPU)_v1.0.zip";
    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(GPU)_v1.0.zip";
    std::string imagePath = "C:\\Programs\\DemoAssets\\TestImages\\SuperImages\\Jack.jpg";
    RunInferenceTest(databaseFilePath, recognizerFilePath, facedetectorFilePath, imagePath);
    std::cout << "End of program.\n";
}
int InsertAlex(std::string databaseFilePath, std::string recognizerFilePath, std::string detectorFilePath) {

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath, databaseFilePath.c_str(), recognizerFilePath.c_str(), detectorFilePath.c_str(), 1);

    std::cout << "Insert users.\n";

    string userId = "0001";
    string userName = "Tom";
    int userid = InsertUser(&infHandle, userId.c_str(), userName.c_str());
    std::cout << "user id:" << userid << " has been inserted" << std::endl;

    userId = "0002";
    userName = "Jil";
    userid = InsertUser(&infHandle, userId.c_str(), userName.c_str());
    std::cout << "user id:" << userid << " has been inserted" << std::endl;


    userId = "0003";
    userName = "Mark";
    userid = InsertUser(&infHandle, userId.c_str(), userName.c_str());
    std::cout << "user id:" << userid << " has been inserted" << std::endl;


    userId = "0004";
    userName = "Jack";
    userid = InsertUser(&infHandle, userId.c_str(), userName.c_str());
    std::cout << "user id:" << userid << " has been inserted" << std::endl;


    std::cout << "End of inserting users.\n";

    ReleaseANSRFHandle(&infHandle);

    return 0;
}
int InsertAlexFaces(std::string databaseFilePath, std::string recognizerFilePath, std::string detectorFilePath, std::string imageFolder) {

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath, databaseFilePath.c_str(), recognizerFilePath.c_str(), detectorFilePath.c_str(), 1);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;

    int userId = 1;
    unsigned int bufferLength = 0;
    string imagePath = "C:\\Programs\\DemoAssets\\TestImages\\SuperImages\\Tom.jpg";
    cv::Mat frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    unsigned char* jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    int height = frame.rows;
    int width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;

    userId =2;
    imagePath = "C:\\Programs\\DemoAssets\\TestImages\\SuperImages\\Jil.jpg";
    frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    height = frame.rows;
    width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;

    userId = 3;
    imagePath = "C:\\Programs\\DemoAssets\\TestImages\\SuperImages\\Mark.jpg";
    frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    height = frame.rows;
    width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;

    userId = 4;
    imagePath = "C:\\Programs\\DemoAssets\\TestImages\\SuperImages\\Jack.jpg";
    frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    height = frame.rows;
    width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;
    std::cout << "End of inserting faces.\n";
    ReleaseANSRFHandle(&infHandle);

    return 0;
}
int TestFromActualDB() {
    std::filesystem::path currentPath = "C:\\Programs\\DemoAssets";
    std::string databaseFilePath = currentPath.string() + "\\ANSFRDB\\ANSFR.db";
    std::string recognizerFilePath = currentPath.string() + "\\ANSAIModels\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = currentPath.string() + "\\ANSAIModels\\ANS_GenericFD(GPU)_v1.0.zip";
    databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string imagePath = "C:\\Programs\\DemoAssets\\TestImages\\SuperImages\\Jack.jpg";
    RunInferenceTest(databaseFilePath, recognizerFilePath, facedetectorFilePath, imagePath);
    std::cout << "End of program.\n";
}
int TestAlexRecognition() {
    // Get the current working directory
    std::filesystem::path currentPath = "C:\\Programs\\DemoAssets";
    std::string databaseFilePath = currentPath.string() + "\\ANSFRDB\\ANSFR.db";
    std::string recognizerFilePath = currentPath.string() + "\\ANSAIModels\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = currentPath.string() + "\\ANSAIModels\\ANS_GenericFD(GPU)_v1.0.zip";
    std::string imagePath = "C:\\Programs\\DemoAssets\\TestImages\\SuperImages\\Jil.jpg";
    std::string imageFolder = "C:\\Programs\\DemoAssets\\TestImages\\SuperImages";
    InsertAlex(databaseFilePath, recognizerFilePath, facedetectorFilePath);
    InsertAlexFaces(databaseFilePath, recognizerFilePath, facedetectorFilePath, imageFolder);
    RunInferenceTest(databaseFilePath, recognizerFilePath, facedetectorFilePath, imagePath);
    std::cout << "End of program.\n";
    return 0;
}
int FaceRecognitionBenchmark() {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;
    
    // Get the current working directory
    std::filesystem::path currentPath = "C:\\Programs\\DemoAssets";
    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(GPU)_v1.0.zip";
    std::string videoFilePath = currentPath.string() + "\\Videos\\BMIP.mp4";

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = facedetectorFilePath;
    int result = CreateANSRFHandle(& infHandle,
        licenseKey.c_str(),
        configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        detectorFilePath.c_str(),
        1,
        0.25, 1, 1, 1);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;
    Reload(&infHandle);

    cv::VideoCapture capture(videoFilePath);
    if (!capture.isOpened()) {
        printf("could not read this video file...\n");
        return -1;
    }
    while (true)
    {
        cv::Mat frame;
        if (!capture.read(frame)) // if not success, break loop
        {
            std::cout << "\n Cannot read the video file. please check your video.\n";
            break;
        }
        unsigned int bufferLength = 0;
        unsigned char* jpeg_string = ANSCENTER::ANSUtilityHelper::CVMatToBytes(frame, bufferLength);
        int height = frame.rows;
        int width = frame.cols;
        auto start = std::chrono::system_clock::now();
        string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);

        delete jpeg_string;
        if (!detectionResult.empty()) {
            pt.clear();
            std::stringstream ss;
            ss.clear();
            ss << detectionResult;
            boost::property_tree::read_json(ss, pt);
            BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
            {
                const boost::property_tree::ptree& result = child.second;
                const auto class_id = GetData<int>(result, "user_id");
                const auto class_name = GetData<std::string>(result, "user_name");
                const auto x = GetData<float>(result, "x");
                const auto y = GetData<float>(result, "y");
                const auto width = GetData<float>(result, "width");
                const auto height = GetData<float>(result, "height");
                const auto sim = GetData<float>(result, "similarity");
               
                cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
                cv::putText(frame, cv::format("%s:%d-%f", class_name, class_id,sim), cv::Point(x, y - 5),
                    0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
            }
        }
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
        //printf("Time = %lld ms\n", static_cast<long long int>(elapsed.count()));
        std::cout << "Time:" << static_cast<long long int>(elapsed.count()) << "; Result" << detectionResult << std::endl;
        cv::imshow("ANS Object Tracking", frame);
        if (cv::waitKey(30) == 27) // Wait for 'esc' key press to exit
        {
            break;
        }
    }
    capture.release();
    cv::destroyAllWindows();
    ReleaseANSRFHandle(&infHandle);
    std::cout << "End of program.\n";
    return 0;
}
int RunInferenceTests(std::string databaseFilePath, std::string recognizerFilePath, std::string facedetectorPath, std::string folder) {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = facedetectorPath;
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(),
        configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        detectorFilePath.c_str(), 0.65, 1, 1, 1);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;
    Reload(&infHandle);
    unsigned int bufferLength = 0;

    for (const auto& entry : std::filesystem::directory_iterator(folder)) {
        if (entry.is_regular_file()) {
            std::string filePath = entry.path().string();//"C:\\Projects\\ANSVIS\\Documentation\\TestImages\\FacialRecognition\\Faces\\097.jpg";// 
			std::cout << "Image File:" << filePath << std::endl;
            cv::Mat frame = cv::imread(filePath, cv::IMREAD_COLOR);
            unsigned char* jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
            int height = frame.rows;
            int width = frame.cols;
            string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);
            std::cout << "Result:" << detectionResult;
            if (!detectionResult.empty()) {
                pt.clear();
                std::stringstream ss;
                ss.clear();
                ss << detectionResult;
                boost::property_tree::read_json(ss, pt);
                BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
                {
                    const boost::property_tree::ptree& result = child.second;
                    const auto class_id = GetData<int>(result, "user_id");
                    const auto class_name = GetData<std::string>(result, "user_name");
                    const auto x = GetData<float>(result, "x");
                    const auto y = GetData<float>(result, "y");
                    const auto width = GetData<float>(result, "width");
                    const auto height = GetData<float>(result, "height");
                    cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
                    cv::putText(frame, cv::format("%s:%d", class_name, class_id), cv::Point(x, y - 5),
                        0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
                }
            }

            delete jpeg_string;
        }
    }
    std::cout << "End of inserting faces.\n";
    ReleaseANSRFHandle(&infHandle);
    return 0;
}
int StressTest() {
    // Get the current working directory
    std::filesystem::path currentPath = "C:\\Programs\\DemoAssets";
    std::string databaseFilePath = currentPath.string() + "\\ANSFRDB\\ANSFR.db";
    std::string recognizerFilePath = currentPath.string() + "\\ANSAIModels\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = currentPath.string() + "\\ANSAIModels\\ANS_GenericFD(GPU)_v1.0.zip";

    std::string imageFolder = currentPath.string()+"\\TestImages\\FacialRecognition\\Faces";

    for (int i = 0; i < 10; i++) {
        RunInferenceTests(databaseFilePath, recognizerFilePath, facedetectorFilePath, imageFolder);
    }
    std::cout << "End of program.\n";
    return 0;
}
int ExampleOfSuperResolitionon() {
    // Initialize the super-resolution model
    cv::dnn_superres::DnnSuperResImpl sr;

    // Load the pre-trained model
    std::string modelPath = "ESPCN_x4.pb"; // Replace with the path to your model file
    try {
        sr.readModel(modelPath);
    }
    catch (const cv::Exception& e) {
        std::cerr << "Error loading model: " << e.what() << std::endl;
        return -1;
    }

    // Set the model and scaling factor
    sr.setModel("espcn", 4); // "espcn" model with a 4x scaling factor

    // Load the input image
    cv::Mat image = cv::imread("input_image.jpg"); // Replace with your image file path
    if (image.empty()) {
        std::cerr << "Could not open or find the image." << std::endl;
        return -1;
    }

    // Upscale the image
    cv::Mat upscaledImage;
    sr.upsample(image, upscaledImage);

    // Display the original and upscaled images
    cv::imshow("Original Image", image);
    cv::imshow("Upscaled Image", upscaledImage);
    cv::waitKey(0);

    return 0;
}

int ANSVISTest() {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    // Get the current working directory
    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";   
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.1.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFDET\\ANS_GenericFD(GPU)_v1.0.zip";
   

    //std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_FaceRecognizer_v1.1.zip";
    //std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(CPU)_v1.0.zip";
    
	//std::string videoFilePath = "E:\\Programs\\DemoAssets\\Videos\\ANSVIS_Issues\\face.mp4";
    //std::string videoFilePath = "E:\\Programs\\DemoAssets\\Videos\\TestFR\\Face31.mp4";
    std::string videoFilePath = "E:\\Programs\\DemoAssets\\Videos\\classroom.mp4";
    //std::string videoFilePath = "E:\\Programs\\DemoAssets\\Videos\\TestFR\\school1.mp4";// "C:\\ProgramData\\ANSCENTER\\Shared\\classroom.mp4";

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    int enalbleHeadPose = 1;
	int enableFaceLiveness = 1;
	int enableAgeGender = 1;
	int enableEmotion = 1;
	int enableAntispoofing = 1;
    int precision = 0;
    std::string detectorFilePath = facedetectorFilePath;
    int result = CreateANSRFHandle( & infHandle,
        licenseKey.c_str(),
        configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        detectorFilePath.c_str(),
        precision,
        0.25, enableAgeGender, enableEmotion, enalbleHeadPose, 30, 0.55, enableFaceLiveness, enableAntispoofing);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;
    Reload(&infHandle);

    cv::VideoCapture capture(videoFilePath);
    if (!capture.isOpened()) {
        printf("could not read this video file...\n");
        return -1;
    }
    int index = 0;
    while (true)
    {
        cv::Mat frame;
        if (!capture.read(frame)) // if not success, break loop
        {
            std::cout << "\n Cannot read the video file. Restarting...\n";
            capture.set(cv::CAP_PROP_POS_FRAMES, 0); // Reset to the beginning of the video
            continue;
        }
        index++;
        //if (index == 200)Reload(&infHandle);
        unsigned int bufferLength = 0;
        unsigned char* jpeg_string = ANSCENTER::ANSUtilityHelper::CVMatToBytes(frame, bufferLength);
        int height = frame.rows;
        int width = frame.cols;
        auto start = std::chrono::system_clock::now();
        string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
        std::cout << "Time:" << static_cast<long long int>(elapsed.count()) << "; Result" << detectionResult << std::endl;
        delete jpeg_string;
        if (!detectionResult.empty()) {
            pt.clear();
            std::stringstream ss;
            ss.clear();
            ss << detectionResult;
            index++;
			std::cout << "Detected Index:" << index << std::endl;
            boost::property_tree::read_json(ss, pt);
            BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
            {
                const boost::property_tree::ptree& result = child.second;
                const auto class_id = GetData<int>(result, "user_id");
                const auto class_name = GetData<std::string>(result, "user_name");
                const auto x = GetData<float>(result, "x");
                const auto y = GetData<float>(result, "y");
                const auto width = GetData<float>(result, "width");
                const auto height = GetData<float>(result, "height");
                const auto sim = GetData<float>(result, "similarity");

                cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
                cv::putText(frame, cv::format("%s:%d-%f", class_name, class_id, sim), cv::Point(x, y - 5),
                    0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
            }
        }

        cv::imshow("ANS Object Tracking", frame);
        if (cv::waitKey(30) == 27) // Wait for 'esc' key press to exit
        {
            break;
        }
    }
    capture.release();
    cv::destroyAllWindows();
    ReleaseANSRFHandle(&infHandle);
    std::cout << "End of program.\n";
    return 0;
}

// ANSVISTestCPU — CPU-only variant of ANSVISTest for Intel CPU PCs without NVIDIA GPU.
// Uses CPU face detector model and forces precision=0 (FP32) for ONNX Runtime / OpenVINO.
int ANSVISTestCPU() {
    boost::property_tree::ptree pt;

    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.1.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFDET\\ANS_GenericFD(CPU)_v1.0.zip";
    std::string videoFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\classroom.mp4";

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle = nullptr;
    std::string licenseKey = "";
    int enableHeadPose = 1;
    int enableFaceLiveness = 1;
    int enableAgeGender = 1;
    int enableEmotion = 1;
    int enableAntispoofing = 1;
    int precision = 0; // FP32

    std::cout << "=== ANSVISTestCPU ===" << std::endl;
    std::cout << "Database:     " << databaseFilePath << std::endl;
    std::cout << "Recognizer:   " << recognizerFilePath << std::endl;
    std::cout << "FaceDetector: " << facedetectorFilePath << std::endl;
    std::cout << "Video:        " << videoFilePath << std::endl;

    // Step 1: Create handle
    std::cout << "[CPU Test] Step 1: Creating handle..." << std::endl;
    int result = CreateANSRFHandle(&infHandle,
        licenseKey.c_str(),
        configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        facedetectorFilePath.c_str(),
        precision,
        0.25, enableAgeGender, enableEmotion, enableHeadPose, 30, 0.55, enableFaceLiveness, enableAntispoofing);
    std::cout << "[CPU Test] CreateANSRFHandle result: " << result << std::endl;
    if (result < 0) {
        std::cerr << "[CPU Test] FAILED: CreateANSRFHandle returned " << result << std::endl;
        return -1;
    }

    // Step 2: Load engine
    std::cout << "[CPU Test] Step 2: Loading engine..." << std::endl;
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "[CPU Test] LoadANSRFEngine result: " << loadEngineResult << std::endl;
    if (loadEngineResult != 1) {
        std::cerr << "[CPU Test] FAILED: LoadANSRFEngine returned " << loadEngineResult << std::endl;
        ReleaseANSRFHandle(&infHandle);
        return -2;
    }

    // Step 3: Reload database
    std::cout << "[CPU Test] Step 3: Reloading database..." << std::endl;
    Reload(&infHandle);

    // Step 4: Open video
    std::cout << "[CPU Test] Step 4: Opening video..." << std::endl;
    cv::VideoCapture capture(videoFilePath);
    if (!capture.isOpened()) {
        std::cerr << "[CPU Test] FAILED: Could not open video: " << videoFilePath << std::endl;
        ReleaseANSRFHandle(&infHandle);
        return -3;
    }

    int totalFrames = static_cast<int>(capture.get(cv::CAP_PROP_FRAME_COUNT));
    std::cout << "[CPU Test] Video opened: " << totalFrames << " frames" << std::endl;

    // Step 5: Run inference on video frames
    std::cout << "[CPU Test] Step 5: Running inference..." << std::endl;
    int frameIndex = 0;
    int totalDetections = 0;
    double totalInferenceMs = 0.0;
    int maxFrames = 200; // Process up to 200 frames for the test

    while (frameIndex < maxFrames) {
        cv::Mat frame;
        if (!capture.read(frame)) {
            std::cout << "[CPU Test] End of video at frame " << frameIndex << std::endl;
            break;
        }
        frameIndex++;

        unsigned int bufferLength = 0;
        unsigned char* jpeg_string = ANSCENTER::ANSUtilityHelper::CVMatToBytes(frame, bufferLength);
        int height = frame.rows;
        int width = frame.cols;

        auto start = std::chrono::system_clock::now();
        string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
        totalInferenceMs += static_cast<double>(elapsed.count());

        delete[] jpeg_string;

        if (!detectionResult.empty()) {
            try {
                pt.clear();
                std::stringstream ss;
                ss << detectionResult;
                boost::property_tree::read_json(ss, pt);
                int detCount = 0;
                BOOST_FOREACH(const boost::property_tree::ptree::value_type& child, pt.get_child("results")) {
                    const boost::property_tree::ptree& r = child.second;
                    const auto class_id = GetData<int>(r, "user_id");
                    const auto class_name = GetData<std::string>(r, "user_name");
                    const auto x = GetData<float>(r, "x");
                    const auto y = GetData<float>(r, "y");
                    const auto w = GetData<float>(r, "width");
                    const auto h = GetData<float>(r, "height");
                    const auto sim = GetData<float>(r, "similarity");
                    detCount++;

                    cv::rectangle(frame, cv::Rect(x, y, w, h), cv::Scalar(0, 255, 0), 2);
                    cv::putText(frame, cv::format("%s:%d-%.2f", class_name.c_str(), class_id, sim),
                        cv::Point(x, y - 5), 0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
                }
                totalDetections += detCount;
            }
            catch (const std::exception& e) {
                std::cerr << "[CPU Test] JSON parse error at frame " << frameIndex << ": " << e.what() << std::endl;
            }
        }

        // Show every 10th frame progress
        if (frameIndex % 10 == 0) {
            std::cout << "[CPU Test] Frame " << frameIndex << "/" << maxFrames
                << " | Time: " << elapsed.count() << "ms"
                << " | Detections: " << totalDetections << std::endl;
        }

        cv::imshow("ANS CPU Test", frame);
        if (cv::waitKey(1) == 27) {
            std::cout << "[CPU Test] ESC pressed, stopping." << std::endl;
            break;
        }
    }

    // Step 6: Print summary
    double avgMs = (frameIndex > 0) ? (totalInferenceMs / frameIndex) : 0.0;
    std::cout << "\n=== CPU Test Summary ===" << std::endl;
    std::cout << "Frames processed: " << frameIndex << std::endl;
    std::cout << "Total detections: " << totalDetections << std::endl;
    std::cout << "Avg inference:    " << avgMs << " ms/frame" << std::endl;
    std::cout << "Total time:       " << totalInferenceMs << " ms" << std::endl;

    if (frameIndex == 0) {
        std::cerr << "[CPU Test] FAILED: No frames processed" << std::endl;
    } else {
        std::cout << "[CPU Test] PASSED" << std::endl;
    }

    // Cleanup
    capture.release();
    cv::destroyAllWindows();
    ReleaseANSRFHandle(&infHandle);
    std::cout << "[CPU Test] Done." << std::endl;
    return (frameIndex > 0) ? 0 : -4;
}

// ANSVISTestCPU_Lightweight — Detection + Recognition only, no attribute models.
// Measures baseline face detection + recognition speed on Intel CPU/iGPU.
int ANSVISTestCPU_Lightweight() {
    boost::property_tree::ptree pt;

    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.1.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFDET\\ANS_GenericFD(CPU)_v1.0.zip";
    std::string videoFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\classroom.mp4";

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle = nullptr;
    std::string licenseKey = "";

    // All attribute models DISABLED for lightweight test
    int enableHeadPose = 0;
    int enableFaceLiveness = 0;
    int enableAgeGender = 0;
    int enableEmotion = 0;
    int enableAntispoofing = 0;
    int precision = 0; // FP32

    std::cout << "\n=== ANSVISTestCPU_Lightweight ===" << std::endl;
    std::cout << "Mode:         Detection + Recognition ONLY (no attributes)" << std::endl;
    std::cout << "Database:     " << databaseFilePath << std::endl;
    std::cout << "Recognizer:   " << recognizerFilePath << std::endl;
    std::cout << "FaceDetector: " << facedetectorFilePath << std::endl;
    std::cout << "Video:        " << videoFilePath << std::endl;

    // Step 1: Create handle
    std::cout << "[Lightweight] Step 1: Creating handle..." << std::endl;
    int result = CreateANSRFHandle(&infHandle,
        licenseKey.c_str(),
        configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        facedetectorFilePath.c_str(),
        precision,
        0.25, enableAgeGender, enableEmotion, enableHeadPose, 30, 0.55, enableFaceLiveness, enableAntispoofing);
    std::cout << "[Lightweight] CreateANSRFHandle result: " << result << std::endl;
    if (result < 0) {
        std::cerr << "[Lightweight] FAILED: CreateANSRFHandle returned " << result << std::endl;
        return -1;
    }

    // Step 2: Load engine
    std::cout << "[Lightweight] Step 2: Loading engine..." << std::endl;
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "[Lightweight] LoadANSRFEngine result: " << loadEngineResult << std::endl;
    if (loadEngineResult != 1) {
        std::cerr << "[Lightweight] FAILED: LoadANSRFEngine returned " << loadEngineResult << std::endl;
        ReleaseANSRFHandle(&infHandle);
        return -2;
    }

    // Step 3: Reload database
    std::cout << "[Lightweight] Step 3: Reloading database..." << std::endl;
    Reload(&infHandle);

    // Step 4: Open video
    std::cout << "[Lightweight] Step 4: Opening video..." << std::endl;
    cv::VideoCapture capture(videoFilePath);
    if (!capture.isOpened()) {
        std::cerr << "[Lightweight] FAILED: Could not open video: " << videoFilePath << std::endl;
        ReleaseANSRFHandle(&infHandle);
        return -3;
    }

    int totalFrames = static_cast<int>(capture.get(cv::CAP_PROP_FRAME_COUNT));
    std::cout << "[Lightweight] Video opened: " << totalFrames << " frames" << std::endl;

    // Step 5: Run inference
    std::cout << "[Lightweight] Step 5: Running inference..." << std::endl;
    int frameIndex = 0;
    int totalDetections = 0;
    double totalInferenceMs = 0.0;
    int maxFrames = 200;

    while (frameIndex < maxFrames) {
        cv::Mat frame;
        if (!capture.read(frame)) {
            std::cout << "[Lightweight] End of video at frame " << frameIndex << std::endl;
            break;
        }
        frameIndex++;

        unsigned int bufferLength = 0;
        unsigned char* jpeg_string = ANSCENTER::ANSUtilityHelper::CVMatToBytes(frame, bufferLength);
        int height = frame.rows;
        int width = frame.cols;

        auto start = std::chrono::system_clock::now();
        string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
        totalInferenceMs += static_cast<double>(elapsed.count());

        delete[] jpeg_string;

        if (!detectionResult.empty()) {
            try {
                pt.clear();
                std::stringstream ss;
                ss << detectionResult;
                boost::property_tree::read_json(ss, pt);
                int detCount = 0;
                BOOST_FOREACH(const boost::property_tree::ptree::value_type& child, pt.get_child("results")) {
                    const boost::property_tree::ptree& r = child.second;
                    const auto x = GetData<float>(r, "x");
                    const auto y = GetData<float>(r, "y");
                    const auto w = GetData<float>(r, "width");
                    const auto h = GetData<float>(r, "height");
                    detCount++;
                    cv::rectangle(frame, cv::Rect(x, y, w, h), cv::Scalar(0, 255, 0), 2);
                }
                totalDetections += detCount;
            }
            catch (...) {}
        }

        if (frameIndex % 10 == 0) {
            double avgSoFar = totalInferenceMs / frameIndex;
            std::cout << "[Lightweight] Frame " << frameIndex << "/" << maxFrames
                << " | Time: " << elapsed.count() << "ms"
                << " | Avg: " << static_cast<int>(avgSoFar) << "ms"
                << " | FPS: " << std::fixed << std::setprecision(1) << (1000.0 / avgSoFar)
                << " | Faces: " << totalDetections << std::endl;
        }

        cv::imshow("ANS CPU Lightweight", frame);
        if (cv::waitKey(1) == 27) break;
    }

    // Summary
    double avgMs = (frameIndex > 0) ? (totalInferenceMs / frameIndex) : 0.0;
    double fps = (avgMs > 0) ? (1000.0 / avgMs) : 0.0;
    std::cout << "\n=== Lightweight Test Summary ===" << std::endl;
    std::cout << "Frames processed: " << frameIndex << std::endl;
    std::cout << "Total detections: " << totalDetections << std::endl;
    std::cout << "Avg inference:    " << avgMs << " ms/frame" << std::endl;
    std::cout << "Avg FPS:          " << std::fixed << std::setprecision(1) << fps << std::endl;
    std::cout << "Total time:       " << totalInferenceMs << " ms" << std::endl;
    std::cout << (frameIndex > 0 ? "[Lightweight] PASSED" : "[Lightweight] FAILED") << std::endl;

    capture.release();
    cv::destroyAllWindows();
    ReleaseANSRFHandle(&infHandle);
    return (frameIndex > 0) ? 0 : -4;
}

// ANSVISTestFilePlayer — Same as ANSVISTest but uses ANSFILEPLAYER (HW decode + NV12 registry)
// instead of cv::VideoCapture. This enables NV12 fast-path testing for the FR pipeline:
//   - SCRFD face detection uses fused NV12→RGB center-letterbox kernel
//   - Face alignment uses NV12 affine warp kernel (full 4K resolution)
int ANSVISTestFilePlayer() {
    boost::property_tree::ptree pt;

    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.1.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFDET\\ANS_GenericFD(GPU)_v1.0.zip";
   // std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(CPU)_v1.0.zip";

    std::string videoFilePath = "E:\\Programs\\DemoAssets\\Videos\\TestFR\\school1.mp4";

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    int enableHeadPose = 1;
    int enableFaceLiveness = 1;
    int enableAgeGender = 1;
    int enableEmotion = 1;
    int enableAntispoofing = 1;
    int precision = 0;

    int result = CreateANSRFHandle(&infHandle,
        licenseKey.c_str(), configFilePath,
        databaseFilePath.c_str(), recognizerFilePath.c_str(),
        facedetectorFilePath.c_str(), precision,
        0.25, enableAgeGender, enableEmotion, enableHeadPose,
        30, 0.55, enableFaceLiveness, enableAntispoofing);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult << std::endl;
    Reload(&infHandle);

    // Create ANSFILEPLAYER instead of cv::VideoCapture
    // This uses FFmpeg HW decode → NV12 frames are registered in ANSGpuFrameRegistry
    ANSCENTER::ANSFILEPLAYER* filePlayer = nullptr;
    int fpResult = CreateANSFilePlayerHandle(&filePlayer, licenseKey.c_str(), videoFilePath.c_str());
    if (fpResult != 1 || !filePlayer) {
        std::cout << "Failed to create file player. Result: " << fpResult << std::endl;
        ReleaseANSRFHandle(&infHandle);
        return -1;
    }

    StartFilePlayer(&filePlayer);
    std::cout << "File player started. Waiting for first frame..." << std::endl;

    // Wait for player to start producing frames
    std::this_thread::sleep_for(std::chrono::milliseconds(500));

    int index = 0;
    while (true) {
        int width = 0, height = 0;
        int64_t timeStamp = 0;
        cv::Mat* image = nullptr;

        int getResult = GetFilePlayerCVImage(&filePlayer, width, height, timeStamp, &image);
        if (getResult != 1 || !image || image->empty()) {
            // Check if player is still running (video may have ended)
            if (!IsFilePlayerRunning(&filePlayer)) {
                std::cout << "File player stopped. Reconnecting..." << std::endl;
                ReconnectFilePlayer(&filePlayer);
                std::this_thread::sleep_for(std::chrono::milliseconds(500));
            } else {
                std::this_thread::sleep_for(std::chrono::milliseconds(1));
            }
            continue;
        }

        index++;
        cv::Mat frame = image->clone();  // Clone for display (image pointer may be reused)

        // Run FR inference directly with cv::Mat — the NV12 registry lookup
        // happens inside SCRFD::Detect() using frame.datastart as the key
        auto start = std::chrono::system_clock::now();
        std::vector<ANSCENTER::FaceResultObject> outputs = infHandle->Inference(frame, "FRCAM");
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);

        std::string detectionResult = infHandle->FaceObjectsToJsonString(outputs);
        std::cout << "Frame:" << index << " Time:" << elapsed.count()
                  << "ms Faces:" << outputs.size() << std::endl;

        // Draw results
        for (const auto& face : outputs) {
            cv::rectangle(frame, face.box, cv::Scalar(0, 255, 0), 2);
            cv::putText(frame,
                cv::format("%s-%s-%.3f", face.userName.c_str(), face.userId.c_str(), face.similarity),
                cv::Point(face.box.x, face.box.y - 5), 0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
        }

        cv::imshow("ANS FR FilePlayer (NV12)", frame);
        if (cv::waitKey(30) == 27) break;
    }

    StopFilePlayer(&filePlayer);
    ReleaseANSFilePlayerHandle(&filePlayer);
    cv::destroyAllWindows();
    ReleaseANSRFHandle(&infHandle);
    std::cout << "End of ANSVISTestFilePlayer." << std::endl;
    return 0;
}

int RunInferenceLoopTest(std::string databaseFilePath, std::string recognizerFilePath, std::string facedetectorPath, std::string imagePath) {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = facedetectorPath;
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(),
        configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        detectorFilePath.c_str(), 0.65, 1, 1, 1);


    for (int i = 0; i < 1000; i++) {
        int loadEngineResult = LoadANSRFEngine(&infHandle);
        std::cout << "Load Engine Result:" << loadEngineResult;
        Reload(&infHandle);
        unsigned int bufferLength = 0;
        cv::Mat frame = cv::imread(imagePath, cv::IMREAD_COLOR);
        unsigned char* jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
        int height = frame.rows;
        int width = frame.cols;
        string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);
        delete jpeg_string;

        std::cout << "Result:" << detectionResult;
        if (!detectionResult.empty()) {
            pt.clear();
            std::stringstream ss;
            ss.clear();
            ss << detectionResult;
            boost::property_tree::read_json(ss, pt);
            BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
            {
                const boost::property_tree::ptree& result = child.second;
                const auto class_id = GetData<int>(result, "user_id");
                const auto class_name = GetData<std::string>(result, "user_name");
                const auto x = GetData<float>(result, "x");
                const auto y = GetData<float>(result, "y");
                const auto width = GetData<float>(result, "width");
                const auto height = GetData<float>(result, "height");
                cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
                cv::putText(frame, cv::format("%s:%d", class_name, class_id), cv::Point(x, y - 5),
                    0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
            }
        }
    }
  
    ReleaseANSRFHandle(&infHandle);
    return 0;
}
int FRStressTest() {
    // Get the current working directory
    std::filesystem::path currentPath = "C:\\Programs\\DemoAssets";
    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFDET\\ANS_GenericFD(GPU)_v1.0.zip";
    //std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(CPU)_v1.0.zip";

    std::string imagePath = "C:\\Programs\\DemoAssets\\Images\\TestFaces\\Tien1.jpg";

    for (int i = 0; i < 100; i++) {
        RunInferenceTest(databaseFilePath, recognizerFilePath, facedetectorFilePath, imagePath);
    }
    //RunInferenceLoopTest(databaseFilePath, recognizerFilePath, facedetectorFilePath, imagePath);
    std::cout << "End of program.\n";
    return 0;
}
int ANSVISRecordingTest() {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    // Get the current working directory
    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(GPU)_v1.0.zip";

    std::string videoFilePath = "C:\\Programs\\DemoAssets\\Videos\\Weapon\\BMGWeapon.mp4";// "C:\\Programs\\DemoAssets\\Videos\\classroom.mp4";

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = facedetectorFilePath;
    int result = CreateANSRFHandle(&infHandle,
        licenseKey.c_str(),
        configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        detectorFilePath.c_str(),
        1,
        0.25, 1, 1, 1, 20);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;
    Reload(&infHandle);

    cv::VideoCapture capture(videoFilePath);
    if (!capture.isOpened()) {
        printf("could not read this video file...\n");
        return -1;
    }
    int index = 0;
    while (true)
    {
        cv::Mat frame;
        if (!capture.read(frame)) // if not success, break loop
        {
            std::cout << "\n Cannot read the video file. Restarting...\n";
            capture.set(cv::CAP_PROP_POS_FRAMES, 0); // Reset to the beginning of the video
            continue;
        }
        //index++;
        //if (index == 200)Reload(&infHandle);
        unsigned int bufferLength = 0;
        unsigned char* jpeg_string = ANSCENTER::ANSUtilityHelper::CVMatToBytes(frame, bufferLength);
        int height = frame.rows;
        int width = frame.cols;
        auto start = std::chrono::system_clock::now();
        string detectionResult = RunANSRFFaceDetector(&infHandle, jpeg_string, width, height);

        delete jpeg_string;
        if (!detectionResult.empty()) {
            pt.clear();
            std::stringstream ss;
            ss.clear();
            ss << detectionResult;
            boost::property_tree::read_json(ss, pt);
            BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
            {
                const boost::property_tree::ptree& result = child.second;
                const auto x = GetData<float>(result, "x");
                const auto y = GetData<float>(result, "y");
                const auto width = GetData<float>(result, "width");
                const auto height = GetData<float>(result, "height");

                cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
                cv::putText(frame, "face", cv::Point(x, y - 5),
                    0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
            }
        }
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
        //printf("Time = %lld ms\n", static_cast<long long int>(elapsed.count()));
        std::cout << "Time:" << static_cast<long long int>(elapsed.count()) << "; Result" << detectionResult << std::endl;
        cv::imshow("ANS Object Tracking", frame);
        if (cv::waitKey(30) == 27) // Wait for 'esc' key press to exit
        {
            break;
        }
    }
    capture.release();
    cv::destroyAllWindows();
    ReleaseANSRFHandle(&infHandle);
    std::cout << "End of program.\n";
    return 0;
}


// Test face detector
int FaceDetectorTest() {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    // Get the current working directory
    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.0.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(GPU)_v1.0.zip";

    /* std::filesystem::path currentPath = "C:\\Programs\\DemoAssets";
     std::string databaseFilePath = currentPath.string() + "\\ANSFRDB\\ANSFR.db";
     std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_FaceRecognizer_v1.0.zip";
     std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANS_GenericFD(GPU)_v1.0.zip";*/

    std::string videoFilePath =  "C:\\Programs\\DemoAssets\\Videos\\classroom.mp4";// "C:\\Programs\\DemoAssets\\Videos\\TestFR\\Face_Issue.mp4";// ;//
    //"C:\\Programs\\DemoAssets\\Videos\\classroom.mp4";//classroom  BMIP
    //"C:\\Programs\\DemoAssets\\Videos\\TestFR\\BMGOffice.mp4";//
  
    // "C:\\Programs\\DemoAssets\\Videos\\BMIP.mp4";//
    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = facedetectorFilePath;
    int result = CreateANSRFHandle(&infHandle,
                                    licenseKey.c_str(),
                                    configFilePath,
                                    databaseFilePath.c_str(),
                                    recognizerFilePath.c_str(),
                                    detectorFilePath.c_str(),
                                    1,
                                    0.25, 1, 1, 1, 50);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;
    Reload(&infHandle);

    cv::VideoCapture capture(videoFilePath);
    if (!capture.isOpened()) {
        printf("could not read this video file...\n");
        return -1;
    }
    int index = 0;
    while (true)
    {
        cv::Mat frame;
        if (!capture.read(frame)) // if not success, break loop
        {
            std::cout << "\n Cannot read the video file. Restarting...\n";
            capture.set(cv::CAP_PROP_POS_FRAMES, 0); // Reset to the beginning of the video
            continue;
        }
        index++;
        if (index == 200)Reload(&infHandle);
        unsigned int bufferLength = 0;
        unsigned char* jpeg_string = ANSCENTER::ANSUtilityHelper::CVMatToBytes(frame, bufferLength);
        int height = frame.rows;
        int width = frame.cols;
        auto start = std::chrono::system_clock::now();
        string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);

        delete jpeg_string;
        if (!detectionResult.empty()) {
            pt.clear();
            std::stringstream ss;
            ss.clear();
            ss << detectionResult;
            boost::property_tree::read_json(ss, pt);
            BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
            {
                const boost::property_tree::ptree& result = child.second;
                const auto class_id = GetData<int>(result, "user_id");
                const auto class_name = GetData<std::string>(result, "user_name");
                const auto x = GetData<float>(result, "x");
                const auto y = GetData<float>(result, "y");
                const auto width = GetData<float>(result, "width");
                const auto height = GetData<float>(result, "height");
                const auto sim = GetData<float>(result, "similarity");

                cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
                cv::putText(frame, cv::format("%s:%d-%f", class_name, class_id, sim), cv::Point(x, y - 5),
                    0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
            }
        }
        auto end = std::chrono::system_clock::now();
        auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
        //printf("Time = %lld ms\n", static_cast<long long int>(elapsed.count()));
        std::cout << "Time:" << static_cast<long long int>(elapsed.count()) << "; Result" << detectionResult << std::endl;
        cv::imshow("ANS Object Tracking", frame);
        if (cv::waitKey(30) == 27) // Wait for 'esc' key press to exit
        {
            break;
        }
    }
    capture.release();
    cv::destroyAllWindows();
    ReleaseANSRFHandle(&infHandle);
    std::cout << "End of program.\n";
    return 0;
}
int ANSVISImageTest() {
    boost::property_tree::ptree root;
    boost::property_tree::ptree detectionObjects;
    boost::property_tree::ptree pt;

    // Get the current working directory
    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.1.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFDET\\ServerOptimised\\ANS_GenericFD(GPU)_v1.0_NVIDIAGeForceRTX4070LaptopGPU.zip";


    std::string imageFilePath = "E:\\Programs\\DemoAssets\\Images\\Unknown\\4615.jpg";

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    std::string detectorFilePath = facedetectorFilePath;
    int result = CreateANSRFHandle(&infHandle,
        licenseKey.c_str(),
        configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        detectorFilePath.c_str(),
        1,
        0.25, 1, 1, 1, 30);
    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;
    Reload(&infHandle);

	cv::Mat frame = cv::imread(imageFilePath, cv::IMREAD_COLOR);
    unsigned int bufferLength = 0;
    unsigned char* jpeg_string = ANSCENTER::ANSUtilityHelper::CVMatToBytes(frame, bufferLength);
    int height = frame.rows;
    int width = frame.cols;
    auto start = std::chrono::system_clock::now();
    string detectionResult = RunANSRFInferenceBinary(&infHandle, jpeg_string, width, height);

    delete jpeg_string;
    if (!detectionResult.empty()) {
        pt.clear();
        std::stringstream ss;
        ss.clear();
        ss << detectionResult;
        boost::property_tree::read_json(ss, pt);
        BOOST_FOREACH(const boost::property_tree::ptree::value_type & child, pt.get_child("results"))
        {
            const boost::property_tree::ptree& result = child.second;
            const auto class_id = GetData<int>(result, "user_id");
            const auto class_name = GetData<std::string>(result, "user_name");
            const auto x = GetData<float>(result, "x");
            const auto y = GetData<float>(result, "y");
            const auto width = GetData<float>(result, "width");
            const auto height = GetData<float>(result, "height");
            const auto sim = GetData<float>(result, "similarity");

            cv::rectangle(frame, cv::Rect(x, y, width, height), 123, 2);
            cv::putText(frame, cv::format("%s:%d-%f", class_name, class_id, sim), cv::Point(x, y - 5),
                0, 0.6, cv::Scalar(0, 0, 255), 1, cv::LINE_AA);
        }
    }
    auto end = std::chrono::system_clock::now();
    auto elapsed = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
    //printf("Time = %lld ms\n", static_cast<long long int>(elapsed.count()));
    std::cout << "Time:" << static_cast<long long int>(elapsed.count()) << "; Result" << detectionResult << std::endl;
    cv::imshow("ANS Object Tracking", frame);
    if (cv::waitKey(30) == 27) // Wait for 'esc' key press to exit
    cv::destroyAllWindows();
    ReleaseANSRFHandle(&infHandle);
    std::cout << "End of program.\n";
    return 0;
}



int InsertUser(std::string databaseFilePath, std::string recognizerFilePath, std::string detectorFilePath, string userId, string userName) {

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath,
                                    databaseFilePath.c_str(), 
                                    recognizerFilePath.c_str(),
                                    detectorFilePath.c_str(), 1, 0.35, 0, 0, 0, 30);

    std::cout << "Insert users.\n";
    int userid = InsertUser(&infHandle, userId.c_str(), userName.c_str());
    std::cout << "user id:" << userid << " has been inserted" << std::endl;
  
    std::cout << "End of inserting users.\n";
    ReleaseANSRFHandle(&infHandle);

    return 0;
}
int InsertFace(std::string databaseFilePath, std::string recognizerFilePath, std::string detectorFilePath, std::string imagePath) {

    const char* configFilePath = "";
    ANSCENTER::ANSFacialRecognition* infHandle;
    std::string licenseKey = "";
    int result = CreateANSRFHandle(&infHandle, licenseKey.c_str(), configFilePath,
        databaseFilePath.c_str(),
        recognizerFilePath.c_str(),
        detectorFilePath.c_str(), 1, 0.35, 0, 0, 0, 30);    int loadEngineResult = LoadANSRFEngine(&infHandle);
    std::cout << "Load Engine Result:" << loadEngineResult;


    UpdateParameters(&infHandle, 0.35, 0, 0, 0, 30, 0.3,1,1,1);
    int userId = 1;
    unsigned int bufferLength = 0;

    cv::Mat frame = cv::imread(imagePath, cv::IMREAD_COLOR);
    unsigned char* jpeg_string = ANSCENTER::ANSFRHelper::CVMatToBytes(frame, bufferLength);
    int height = frame.rows;
    int width = frame.cols;
    InsertFaceBinary(&infHandle, userId, jpeg_string, width, height);
    delete jpeg_string;

    std::cout << "End of inserting faces.\n";
    ReleaseANSRFHandle(&infHandle);

    return 0;
}

int TestCompleteFR1() {
    std::filesystem::path currentPath = "E:\\Programs\\DemoAssets";
    std::string databaseFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANSFR.db";
    std::string recognizerFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFR\\ANS_FaceRecognizer_v1.1.zip";
    std::string facedetectorFilePath = "C:\\ProgramData\\ANSCENTER\\ANSVIS Server\\ANSFDET\\ServerOptimised\\ANS_GenericFD(GPU)_v1.0_NVIDIAGeForceRTX4070LaptopGPU.zip";
    //std::string imageFile = "E:\\Programs\\DemoAssets\\Images\\Face\\Original.jpg";
     std::string imageFile = "E:\\Programs\\DemoAssets\\Images\\Face\\61.png";
    //InsertUser(databaseFilePath, recognizerFilePath, facedetectorFilePath,"0001","Tien");
    InsertFace(databaseFilePath, recognizerFilePath, facedetectorFilePath, imageFile);

    std::cout << "End of program.\n";
	return 1;
}
int main()
{

	//FaceDetectorTest();
    //TestFaceRecognition();
    //TestCompleteFR1();

    //ANSVISImageTest();
   //ANSVISTest();
   //ANSVISTestFilePlayer();
  //  ANSVISRecordingTest();
  //FRStressTest();
    //for (int i = 0; i < 20; i++) {
    //    ANSVISTest();
    //}
   // StressTest();
   //TestFromActualDB();
  //TestAlexRecognition();
 //FaceRecognitionBenchmark();
 // TestCompleteFR();
  //TestFaceRecognition();
  //FaceRecognitionBenchmark();
   ANSVISTestCPU_Lightweight();
   ANSVISTestCPU();
	std::cin.get();
}