ANSCORE/modules/ANSFR/dllmain.cpp

// dllmain.cpp : Defines the entry point for the DLL application.
#include "pch.h"
#include "ANSFR.h"
#include "NV12PreprocessHelper.h"   // tl_currentGpuFrame()
#include "ANSGpuFrameRegistry.h"    // gpu_frame_lookup(cv::Mat*)
#include <opencv2/imgcodecs.hpp>
#include "ANSOVFaceDetector.h"
#include "SCRFDFaceDetector.h"
#include "FaceNet.h"
#include "ANSFaceRecognizer.h"
#include "ANSLibsLoader.h"
#include "engine/TRTEngineCache.h"
#include "engine/EnginePoolManager.h"
#include <memory>
#include <climits>
#include <unordered_map>
#include <condition_variable>
#include <cstdint>
#include <atomic>

// Each DLL that instantiates Engine<T> templates needs its own definition
// of g_forceNoPool (referenced by EngineBuildLoadNetwork.inl).
// ANSODEngine exports its own; ANSFR needs a local copy.
std::atomic<bool> g_forceNoPool{false};
#include <boost/uuid/uuid.hpp>
#include <boost/uuid/uuid_generators.hpp>
#include <boost/uuid/uuid_io.hpp>

// Handle registry with refcount — prevents use-after-free when
// ReleaseANSRFHandle is called while inference is still running.
static std::unordered_map<ANSCENTER::ANSFacialRecognition*, int>& FRHandleRegistry() {
    static std::unordered_map<ANSCENTER::ANSFacialRecognition*, int> s;
    return s;
}
static std::mutex& FRHandleRegistryMutex() {
    static std::mutex m;
    return m;
}
static std::condition_variable& FRHandleRegistryCV() {
    static std::condition_variable cv;
    return cv;
}

static void RegisterFRHandle(ANSCENTER::ANSFacialRecognition* h) {
    std::lock_guard<std::mutex> lk(FRHandleRegistryMutex());
    FRHandleRegistry()[h] = 1;
}

static ANSCENTER::ANSFacialRecognition* AcquireFRHandle(ANSCENTER::ANSFacialRecognition* h) {
    std::lock_guard<std::mutex> lk(FRHandleRegistryMutex());
    auto it = FRHandleRegistry().find(h);
    if (it == FRHandleRegistry().end()) return nullptr;
    it->second++;
    return h;
}

static bool ReleaseFRHandleRef(ANSCENTER::ANSFacialRecognition* h) {
    std::lock_guard<std::mutex> lk(FRHandleRegistryMutex());
    auto it = FRHandleRegistry().find(h);
    if (it == FRHandleRegistry().end()) return false;
    it->second--;
    if (it->second <= 0) {
        FRHandleRegistry().erase(it);
        FRHandleRegistryCV().notify_all();
        return true;
    }
    return false;
}

static bool UnregisterFRHandle(ANSCENTER::ANSFacialRecognition* h) {
    std::unique_lock<std::mutex> lk(FRHandleRegistryMutex());
    auto it = FRHandleRegistry().find(h);
    if (it == FRHandleRegistry().end()) return false;
    it->second--;
    bool ok = FRHandleRegistryCV().wait_for(lk, std::chrono::seconds(30), [&]() {
        auto it2 = FRHandleRegistry().find(h);
        return it2 == FRHandleRegistry().end() || it2->second <= 0;
    });
    if (!ok) {
        OutputDebugStringA("WARNING: UnregisterFRHandle timed out waiting for in-flight inference\n");
    }
    FRHandleRegistry().erase(h);
    return true;
}

// RAII guard — ensures ReleaseFRHandleRef is always called, preventing
// refcount leaks that would cause UnregisterFRHandle to deadlock.
class FRHandleGuard {
    ANSCENTER::ANSFacialRecognition* engine;
public:
    explicit FRHandleGuard(ANSCENTER::ANSFacialRecognition* e) : engine(e) {}
    ~FRHandleGuard() { if (engine) ReleaseFRHandleRef(engine); }
    ANSCENTER::ANSFacialRecognition* get() const { return engine; }
    explicit operator bool() const { return engine != nullptr; }
    FRHandleGuard(const FRHandleGuard&) = delete;
    FRHandleGuard& operator=(const FRHandleGuard&) = delete;
};

// Determine maxSlotsPerGpu based on GPU topology:
//   non-NVIDIA (AMD/Intel/CPU) → 1 (no TensorRT pool, never grows)
//   1 NVIDIA GPU               → 1 (single slot, no round-robin needed)
//   >1 GPU, VRAM<24GB          → 1 (round-robin: 1 slot per GPU)
//   >1 GPU, VRAM≥24GB          → -1 (elastic: on-demand slot growth)
//
// IMPORTANT: Must be gated on CheckHardwareInformation() first — calling
// cudaGetDeviceCount/cudaSetDevice/cudaMemGetInfo on non-NVIDIA hardware
// wakes up the CUDA runtime unnecessarily and, combined with DirectML on
// AMD, has been observed to trigger amdkmdag instability.  Return 1 early
// on anything that isn't a detected NVIDIA GPU so the TRT pool is never
// exercised on those machines.
static int GetPoolMaxSlotsPerGpu() {
    static int s_result = INT_MIN;
    static std::mutex s_mutex;
    std::lock_guard<std::mutex> lk(s_mutex);
    if (s_result != INT_MIN) return s_result;

    const ANSCENTER::EngineType detected =
        ANSCENTER::ANSLicenseHelper::CheckHardwareInformation();
    if (detected != ANSCENTER::EngineType::NVIDIA_GPU) {
        s_result = 1;
        std::cout << "Info [FR GPU]: engineType=" << static_cast<int>(detected)
                  << " — not NVIDIA, TRT pool disabled (slot=1), skipping CUDA probe"
                  << std::endl;
        return s_result;
    }

    int gpuCount = 0;
    cudaGetDeviceCount(&gpuCount);
    if (gpuCount <= 1) {
        s_result = 1;
        std::cout << "Info [FR GPU]: Single GPU — pool mode: 1 slot, no round-robin" << std::endl;
        return s_result;
    }
    constexpr size_t kLargeVramBytes = 24ULL * 1024 * 1024 * 1024;  // 24 GB
    size_t totalMem = 0, freeMem = 0;
    cudaSetDevice(0);
    cudaMemGetInfo(&freeMem, &totalMem);
    if (totalMem >= kLargeVramBytes) {
        s_result = -1;
        std::cout << "Info [FR GPU]: " << gpuCount << " GPUs, VRAM >= 24 GB — pool mode: elastic" << std::endl;
    } else {
        s_result = 1;
        std::cout << "Info [FR GPU]: " << gpuCount << " GPUs, VRAM < 24 GB — pool mode: round-robin" << std::endl;
    }
    return s_result;
}

BOOL APIENTRY DllMain( HMODULE hModule,
                       DWORD  ul_reason_for_call,
                       LPVOID lpReserved
                     ) noexcept
{
    switch (ul_reason_for_call)
    {
    case DLL_PROCESS_ATTACH:
        // Pin the DLL so it is never unmapped while idle-timer threads are
        // still running.  During LabVIEW shutdown the CLR/COM teardown can
        // unload DLLs before all threads exit → crash at unmapped code.
        {
            HMODULE hSelf = nullptr;
            GetModuleHandleExW(
                GET_MODULE_HANDLE_EX_FLAG_FROM_ADDRESS |
                GET_MODULE_HANDLE_EX_FLAG_PIN,
                reinterpret_cast<LPCWSTR>(&DllMain),
                &hSelf);
        }
        break;
    case DLL_THREAD_ATTACH:
    case DLL_THREAD_DETACH:
        break;
    case DLL_PROCESS_DETACH:
        // ExitProcess: OS killed worker threads, CUDA context is dead.
        // Set flag so Engine/Pool destructors skip CUDA cleanup.
        if (lpReserved != nullptr) {
            g_processExiting().store(true, std::memory_order_relaxed);
            break;
        }

        // Dynamic FreeLibrary — threads are still alive, safe to clean up.
        try {
            std::vector<ANSCENTER::ANSFacialRecognition*> leakedHandles;
            {
                std::lock_guard<std::mutex> lk(FRHandleRegistryMutex());
                for (auto& [h, _] : FRHandleRegistry())
                    leakedHandles.push_back(h);
                FRHandleRegistry().clear();
            }
            for (auto* h : leakedHandles) {
                try { h->Destroy(); delete h; } catch (...) {}
            }
            try { EnginePoolManager<float>::instance().clearAll(); } catch (...) {}
            try { TRTEngineCache::instance().clearAll(); } catch (...) {}
        } catch (...) {}
        break;
    }
    return TRUE;
}

// Helper: safely copy a std::string into a LabVIEW LStrHandle.
// Returns 1 on success, 0 on failure (empty string or allocation error).
static int CopyToLStrHandle(LStrHandle handle, const std::string& str) noexcept {
    if (str.empty() || handle == nullptr) return 0;
    const auto size = static_cast<int32>(str.length());
    MgErr error = DSSetHandleSize(handle, sizeof(int32) + size * sizeof(uChar));
    if (error != noErr) return 0;
    (*handle)->cnt = size;
    memcpy((*handle)->str, str.c_str(), static_cast<size_t>(size));
    return 1;
}

extern "C" ANSFR_API int		   CreateANSRFHandle(ANSCENTER::ANSFacialRecognition** Handle,
    const char* licenseKey,
    const char* configFilePath,
    const char* databaseFilePath,
    const char* recogniserFilePath,
    const char* detectorFilePath,
    int precisionType,
    float knownPersonThreshold,
    int enableAgeGender,
    int enableFaceEmotions,
    int enableHeadPose,
    int minFaceSize, 
    float faceDetectorThreshold,
    int enableFaceLiveness, 
    int enableAntiSpoofing)
{
    try {
        // Ensure all shared DLLs (OpenCV, OpenVINO, TRT, ORT) are pre-loaded
        ANSCENTER::ANSLibsLoader::Initialize();

        if (!Handle || !licenseKey || !configFilePath || !databaseFilePath || !recogniserFilePath) return -1;

        // Log the detected vendor path so field triage between NVIDIA / AMD /
        // Intel / CPU machines is trivial from the debug log.  Mirrors the
        // vendorTag logging already in ANSLPR_OD::LoadEngine and ANSOCR
        // CreateANSOCRHandleEx.
        {
            ANSCENTER::EngineType detected =
                ANSCENTER::ANSLicenseHelper::CheckHardwareInformation();
            const char* vendorTag =
                detected == ANSCENTER::EngineType::NVIDIA_GPU   ? "NVIDIA_GPU (TensorRT + CUDA preproc, SCRFD face detector)" :
                detected == ANSCENTER::EngineType::AMD_GPU      ? "AMD_GPU (ONNX Runtime / DirectML, OV face detector, NV12/CUDA DISABLED)" :
                detected == ANSCENTER::EngineType::OPENVINO_GPU ? "OPENVINO_GPU (OpenVINO, OV face detector, NV12/CUDA DISABLED)" :
                                                                  "CPU (ONNX Runtime / OpenVINO CPU, NV12/CUDA DISABLED)";
            char buf[224];
            snprintf(buf, sizeof(buf),
                "[ANSFR] CreateANSRFHandle: detected engineType=%d [%s]\n",
                static_cast<int>(detected), vendorTag);
            OutputDebugStringA(buf);
            std::cout << buf;
        }

        // Pure constructor: ignore *Handle(in). LabVIEW's CLF Node marshalling
        // reuses the same temp buffer per call site, so *Handle(in) often holds
        // leftover bytes from the previous Create's output even when the actual
        // LabVIEW wire is a different, freshly-allocated instance. Inspecting
        // *Handle(in) and destroying what we "see" tears down legitimate
        // parallel instances. (Same reasoning as CreateANSAWSHandle.)
        // Trade-off: a true double-Create on the same wire leaks the prior
        // handle -- caller's bug; the alternative is far worse.
        *Handle = nullptr;

        // std::unique_ptr ensures automatic cleanup if Initialize() throws
        auto ptr = std::make_unique<ANSCENTER::ANSFacialRecognition>();

        const bool _enableFaceLiveness = (enableFaceLiveness == 1);
        const bool _enableAntiSpoofing = (enableAntiSpoofing == 1);

        ptr->SetMaxSlotsPerGpu(GetPoolMaxSlotsPerGpu());

        int result = ptr->Initialize(licenseKey,
            configFilePath,
            databaseFilePath,
            recogniserFilePath,
            detectorFilePath ? detectorFilePath : "",
            precisionType,
            knownPersonThreshold,
            enableAgeGender,
            enableFaceEmotions,
            enableHeadPose,
            minFaceSize,
            faceDetectorThreshold,
            _enableFaceLiveness,
            _enableAntiSpoofing);

        if (result < 0) {
            *Handle = nullptr;
            return result;
        }

        // Transfer ownership to caller on success
        *Handle = ptr.release();
        RegisterFRHandle(*Handle);
        return result;
    }
	catch (const std::exception& e) {
		return -1;
	}
}

extern "C" ANSFR_API int		  LoadANSRFEngine(ANSCENTER::ANSFacialRecognition** Handle) {
    try {
        if (!Handle || !*Handle) return -1;
        bool result = (*Handle)->LoadEngine();
        if (result == true) return 1;
        else return 0;
    }
	catch (const std::exception& e) {
		return -1;
	}
}

static int ReleaseANSRFHandle_Impl(ANSCENTER::ANSFacialRecognition** Handle) {
    try {
        if (!Handle || !*Handle) return 1;
        if (!UnregisterFRHandle(*Handle)) {
            *Handle = nullptr;
            return 1;  // Not in registry — already freed
        }
        (*Handle)->Destroy();
        delete *Handle;
        *Handle = nullptr;
        return 1;
    }
    catch (...) {
        if (Handle) *Handle = nullptr;
        return 0;
    }
}

extern "C" ANSFR_API int          ReleaseANSRFHandle(ANSCENTER::ANSFacialRecognition** Handle) {
    __try {
        return ReleaseANSRFHandle_Impl(Handle);
    }
    __except (EXCEPTION_EXECUTE_HANDLER) {
        return 0;
    }
}
extern "C" ANSFR_API std::string  RunANSRFInference(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength) {
    if (!Handle || !*Handle || !jpeg_string || bufferLength == 0) return "";
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return "";
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return "";
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Inference(frame);
        frame.release();
        std::string result = engine->FaceObjectsToJsonString(outputs);
        return result;
    }
    catch (...) { return ""; }
}



extern "C" ANSFR_API std::string  RunANSRFInferenceBinary(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_bytes, unsigned int width, unsigned int height) {
    if (!Handle || !*Handle || !jpeg_bytes || width == 0 || height == 0) return "";
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return "";
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::Mat(height, width, CV_8UC3, jpeg_bytes).clone();
        if (frame.empty()) return "";
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Inference(frame);
        frame.release();
        std::string result = engine->FaceObjectsToJsonString(outputs);
        return result;
    }
    catch (...) { return ""; }
}
extern "C" ANSFR_API std::string  RunANSRFRecognition(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength) {
    if (!Handle || !*Handle || !jpeg_string || bufferLength == 0) return "";
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return "";
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return "";
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Recognize(frame);
        frame.release();
        std::string result = engine->FaceObjectsToJsonString(outputs);
        return result;
    }
    catch (...) { return ""; }
}
extern "C" ANSFR_API std::string  RunANSRFRecognitionBinary(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_bytes, unsigned int width, unsigned int height) {
    if (!Handle || !*Handle || !jpeg_bytes || width == 0 || height == 0) return "";
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return "";
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::Mat(height, width, CV_8UC3, jpeg_bytes).clone();
        if (frame.empty()) return "";
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Recognize(frame);
        frame.release();
        std::string result = engine->FaceObjectsToJsonString(outputs);
        return result;
    }
    catch (...) { return ""; }
}
extern "C" ANSFR_API std::string  RunANSRFDetectorBinary(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_bytes, unsigned int width, unsigned int height) {
    if (!Handle || !*Handle || !jpeg_bytes || width == 0 || height == 0) return "";
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return "";
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::Mat(height, width, CV_8UC3, jpeg_bytes).clone();
        if (frame.empty()) return "";
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Detect(frame);
        frame.release();
        std::string result = engine->FaceObjectsToJsonString(outputs);
        return result;
    }
    catch (...) { return ""; }
}
extern "C" ANSFR_API std::string  RunANSRFDetector(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength) {
    if (!Handle || !*Handle || !jpeg_string || bufferLength == 0) return "";
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return "";
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return "";
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Detect(frame);
        frame.release();
        std::string result = engine->FaceObjectsToJsonString(outputs);
        return result;
    }
    catch (...) { return ""; }
}

//// For LabVIEW API
extern "C" ANSFR_API int          RunInference_LV(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength, LStrHandle detectionResult) {
    try {
        if (!Handle || !*Handle || !jpeg_string || bufferLength == 0 || !detectionResult) return -1;
        std::string st = RunANSRFInference(Handle, jpeg_string, bufferLength);
        return CopyToLStrHandle(detectionResult, st);
    }
	catch (const std::exception& e) {
		return -1;
	}
}
extern "C" ANSFR_API int          RunInferenceWithCamId_LV(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, LStrHandle detectionResult) {
    if (!Handle || !*Handle || !jpeg_string || bufferLength == 0 || !cameraId || !detectionResult) return -1;
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return -3;
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Inference(frame, cameraId);
        frame.release();
        std::string st = engine->FaceObjectsToJsonString(outputs);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (...) { return -1; }
}


extern "C" ANSFR_API int          RunDetector_LV(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength, LStrHandle detectionResult)
{
    try {
        if (!Handle || !*Handle || !jpeg_string || bufferLength == 0 || !detectionResult) return -1;
        std::string st = RunANSRFDetector(Handle, jpeg_string, bufferLength);
        return CopyToLStrHandle(detectionResult, st);
    }
	catch (const std::exception& e) {
		return -1;
	}
}

extern "C" ANSFR_API int          RunDetectorWithCamId_LV(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, LStrHandle detectionResult) {
    if (!Handle || !*Handle || !jpeg_string || bufferLength == 0 || !cameraId || !detectionResult) return -1;
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return -3;
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Detect(frame, cameraId);
        frame.release();
        std::string st = engine->FaceObjectsToJsonString(outputs);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (...) { return -1; }
}

extern "C" ANSFR_API int          RunRecognition_LV(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength, LStrHandle detectionResult) {
    try {
        if (!Handle || !*Handle || !jpeg_string || bufferLength == 0 || !detectionResult) return -1;
        std::string st = RunANSRFRecognition(Handle, jpeg_string, bufferLength);
        return CopyToLStrHandle(detectionResult, st);
    }
	catch (const std::exception& e) {
		return -1;
	}
}
extern "C" ANSFR_API int          RunRecognitionWithCamId_LV(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, LStrHandle detectionResult) {
    if (!Handle || !*Handle || !jpeg_string || bufferLength == 0 || !cameraId || !detectionResult) return -1;
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return -3;
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Recognize(frame, cameraId);
        frame.release();
        std::string st = engine->FaceObjectsToJsonString(outputs);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (...) { return -1; }
}
extern "C" ANSFR_API int          RunFaceDetection_LV(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, LStrHandle detectionResult) {
    if (!Handle || !*Handle || !jpeg_string || bufferLength == 0 || !cameraId || !detectionResult) return -1;
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return -3;
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<ANSCENTER::Object> outputs = engine->FaceDetect(frame, cameraId);
        frame.release();
        std::string st = engine->FaceToJsonString(outputs);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (...) { return -1; }
}
extern "C" ANSFR_API std::string  RunANSRFFaceDetector(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_bytes, unsigned int width, unsigned int height)
{
    if (!Handle || !*Handle || !jpeg_bytes || width == 0 || height == 0) return "";
    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return "";
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::Mat(height, width, CV_8UC3, jpeg_bytes).clone();
        if (frame.empty()) return "";
        std::vector<ANSCENTER::Object> outputs = engine->FaceDetect(frame, "0000");
        frame.release();
        std::string st = engine->FaceToJsonString(outputs);
        return st;
    }
    catch (...) { return ""; }
}

// User management
extern "C" ANSFR_API int          InsertUser(ANSCENTER::ANSFacialRecognition** Handle, const char* userCode, const char* userName) {
    try {
        if (!Handle || !*Handle || !userCode || !userName) return -1;
        int result = (*Handle)->InsertUser(userCode, userName);
        return result;
    }
	catch (const std::exception& e) {
		return -1;
	}
}

// Helper: repair mixed-encoding LabVIEW LStrHandle to clean UTF-16LE.
// LabVIEW text controls may produce a mix of UTF-16LE pairs, embedded UTF-8
// multi-byte sequences, and lone space bytes (0x20 without 0x00 high byte).
// This normalizes everything to proper UTF-16LE pairs.
// Input: BOM-stripped raw bytes.  Output: clean UTF-16LE vector.
static std::vector<unsigned char> RepairLabVIEWUTF16LE_Local(const unsigned char* data, int len) {
    std::vector<unsigned char> repaired;
    if (!data || len <= 0) return repaired;
    repaired.reserve(len + 32);

    auto emitU16 = [&](uint16_t cp) {
        repaired.push_back(static_cast<unsigned char>(cp & 0xFF));
        repaired.push_back(static_cast<unsigned char>((cp >> 8) & 0xFF));
    };

    for (int i = 0; i < len; ) {
        unsigned char b = data[i];

        // 1. Detect embedded UTF-8 multi-byte sequences
        // 2-byte UTF-8: C2-DF followed by 80-BF
        if (b >= 0xC2 && b <= 0xDF && i + 1 < len) {
            unsigned char b1 = data[i + 1];
            if ((b1 & 0xC0) == 0x80) {
                uint32_t cp = ((b & 0x1F) << 6) | (b1 & 0x3F);
                emitU16(static_cast<uint16_t>(cp));
                i += 2; continue;
            }
        }
        // 3-byte UTF-8: E0-EF followed by 80-BF 80-BF
        if (b >= 0xE0 && b <= 0xEF && i + 2 < len) {
            unsigned char b1 = data[i + 1], b2 = data[i + 2];
            if ((b1 & 0xC0) == 0x80 && (b2 & 0xC0) == 0x80) {
                uint32_t cp = ((b & 0x0F) << 12) | ((b1 & 0x3F) << 6) | (b2 & 0x3F);
                if (cp >= 0x0800 && (cp < 0xD800 || cp > 0xDFFF)) {
                    emitU16(static_cast<uint16_t>(cp));
                    i += 3; continue;
                }
            }
        }
        // 4-byte UTF-8: F0-F4 followed by 80-BF 80-BF 80-BF
        if (b >= 0xF0 && b <= 0xF4 && i + 3 < len) {
            unsigned char b1 = data[i + 1], b2 = data[i + 2], b3 = data[i + 3];
            if ((b1 & 0xC0) == 0x80 && (b2 & 0xC0) == 0x80 && (b3 & 0xC0) == 0x80) {
                uint32_t cp = ((b & 0x07) << 18) | ((b1 & 0x3F) << 12)
                            | ((b2 & 0x3F) << 6) | (b3 & 0x3F);
                if (cp >= 0x10000 && cp <= 0x10FFFF) {
                    cp -= 0x10000;
                    emitU16(static_cast<uint16_t>(0xD800 + (cp >> 10)));
                    emitU16(static_cast<uint16_t>(0xDC00 + (cp & 0x3FF)));
                    i += 4; continue;
                }
            }
        }

        // 2. Normal UTF-16LE pair (low byte + 0x00 high byte)
        if (i + 1 < len && data[i + 1] == 0x00) {
            repaired.push_back(data[i]); repaired.push_back(0x00); i += 2;
        }
        // 3. Lone space byte — LabVIEW dropped the 0x00 high byte
        else if (b == 0x20 && (i + 1 >= len || data[i + 1] != 0x00)) {
            repaired.push_back(0x20); repaired.push_back(0x00); i += 1;
        }
        // 4. Non-ASCII UTF-16LE pair
        else if (i + 1 < len) {
            repaired.push_back(data[i]); repaired.push_back(data[i + 1]); i += 2;
        }
        // 5. Trailing odd byte — skip
        else { i++; }
    }
    return repaired;
}

// Helper: convert LStrHandle (mixed UTF-8/UTF-16LE or system codepage) to UTF-8 string
static std::string LStrHandleToUTF8(LStrHandle handle) {
    if (!handle) return "";
    int byteLen = (*handle)->cnt;
    if (byteLen <= 0) return "";
    const unsigned char* data = reinterpret_cast<const unsigned char*>((*handle)->str);

    // Check for BOM or 0x00 bytes → UTF-16LE (possibly mixed with UTF-8)
    bool isUtf16le = false;
    if (byteLen >= 2 && data[0] == 0xFF && data[1] == 0xFE) isUtf16le = true;
    if (!isUtf16le) {
        for (int i = 0; i < byteLen; i++) {
            if (data[i] == 0x00) { isUtf16le = true; break; }
        }
    }

    if (isUtf16le) {
        const unsigned char* convData = data;
        int convLen = byteLen;
        if (convLen >= 2 && convData[0] == 0xFF && convData[1] == 0xFE) { convData += 2; convLen -= 2; }
        if (convLen <= 0) return "";

        // Repair mixed encoding (UTF-8 islands, lone spaces) → clean UTF-16LE
        auto repaired = RepairLabVIEWUTF16LE_Local(convData, convLen);

#ifdef _WIN32
        int wideLen = static_cast<int>(repaired.size()) / 2;
        const wchar_t* wideStr = reinterpret_cast<const wchar_t*>(repaired.data());
        int utf8Len = WideCharToMultiByte(CP_UTF8, 0, wideStr, wideLen, nullptr, 0, nullptr, nullptr);
        if (utf8Len > 0) {
            std::string utf8(utf8Len, 0);
            WideCharToMultiByte(CP_UTF8, 0, wideStr, wideLen, &utf8[0], utf8Len, nullptr, nullptr);
            return utf8;
        }
#endif
        return std::string(reinterpret_cast<const char*>(repaired.data()), repaired.size());
    } else {
        // No 0x00 bytes — try UTF-8 first, fall back to system codepage.
        // IsValidUTF8: check if bytes form valid UTF-8 with at least one multi-byte sequence.
        auto IsValidUTF8 = [](const unsigned char* d, int l) -> bool {
            bool hasMulti = false;
            for (int j = 0; j < l; ) {
                unsigned char c = d[j];
                if (c <= 0x7F) { j++; }
                else if (c >= 0xC2 && c <= 0xDF) {
                    if (j + 1 >= l || (d[j + 1] & 0xC0) != 0x80) return false;
                    hasMulti = true; j += 2;
                } else if (c >= 0xE0 && c <= 0xEF) {
                    if (j + 2 >= l || (d[j + 1] & 0xC0) != 0x80 || (d[j + 2] & 0xC0) != 0x80) return false;
                    hasMulti = true; j += 3;
                } else if (c >= 0xF0 && c <= 0xF4) {
                    if (j + 3 >= l || (d[j + 1] & 0xC0) != 0x80 || (d[j + 2] & 0xC0) != 0x80 || (d[j + 3] & 0xC0) != 0x80) return false;
                    hasMulti = true; j += 4;
                } else { return false; }
            }
            return hasMulti;
        };

        if (IsValidUTF8(data, byteLen)) {
            return std::string(reinterpret_cast<const char*>(data), byteLen);
        }
#ifdef _WIN32
        int wideLen = MultiByteToWideChar(CP_ACP, 0, reinterpret_cast<const char*>(data), byteLen, nullptr, 0);
        if (wideLen > 0) {
            std::wstring wideStr(wideLen, 0);
            MultiByteToWideChar(CP_ACP, 0, reinterpret_cast<const char*>(data), byteLen, &wideStr[0], wideLen);
            int utf8Len = WideCharToMultiByte(CP_UTF8, 0, wideStr.c_str(), wideLen, nullptr, 0, nullptr, nullptr);
            if (utf8Len > 0) {
                std::string utf8(utf8Len, 0);
                WideCharToMultiByte(CP_UTF8, 0, wideStr.c_str(), wideLen, &utf8[0], utf8Len, nullptr, nullptr);
                return utf8;
            }
        }
#endif
        return std::string(reinterpret_cast<const char*>(data), byteLen);
    }
}

extern "C" ANSFR_API int InsertUser_LV(ANSCENTER::ANSFacialRecognition** Handle, const char* userCode, LStrHandle userName) {
    try {
        if (!Handle || !*Handle || !userCode || !userName) return -1;
        std::string utf8Name = LStrHandleToUTF8(userName);
        if (utf8Name.empty()) return -1;
        return (*Handle)->InsertUser(userCode, utf8Name);
    }
    catch (const std::exception& e) { return -1; }
}

extern "C" ANSFR_API int UpdateUser_LV(ANSCENTER::ANSFacialRecognition** Handle, int userId, const char* userCode, LStrHandle userName) {
    try {
        if (!Handle || !*Handle || !userCode || !userName) return -1;
        std::string utf8Name = LStrHandleToUTF8(userName);
        if (utf8Name.empty()) return -1;
        return (*Handle)->UpdateUser(userId, userCode, utf8Name);
    }
    catch (const std::exception& e) { return -1; }
}

extern "C" ANSFR_API int          UpdateUser(ANSCENTER::ANSFacialRecognition** Handle, int userId, const char* userCode, const char* userName) {
    try {
        if (!Handle || !*Handle || !userCode || !userName) return -1;
        int result = (*Handle)->UpdateUser(userId, userCode, userName);
        return result;
    }
	catch (const std::exception& e) {
		return -1;
	}
}
extern "C" ANSFR_API int          DeleteUser(ANSCENTER::ANSFacialRecognition** Handle, int userId) {
    try {
        if (!Handle || !*Handle) return -1;
        int result = (*Handle)->DeleteUser(userId);
        return result;
    }
    catch (const std::exception& e) {
        return -1;
    }
}
extern "C" ANSFR_API int          DeleteUsers(ANSCENTER::ANSFacialRecognition** Handle, int* userIds, int count) {
    try {
        if (!Handle || !*Handle || !userIds || count <= 0) return -1;
        std::vector<int> ids(userIds, userIds + count);
        return (*Handle)->DeleteUsers(ids);
    }
    catch (const std::exception& e) {
        return -1;
    }
}
extern "C" ANSFR_API int          InsertFace(ANSCENTER::ANSFacialRecognition** Handle, int userId, unsigned char* jpeg_string, unsigned int bufferLength) {
    try {
        if (!Handle || !*Handle || !jpeg_string || bufferLength == 0) return -1;
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) {
            return 0;
        }
        int result = (*Handle)->InsertFace(userId, frame);
        return result;
    }
	catch (const std::exception& e) {
		return -1;
	}
}

extern "C" ANSFR_API int          InsertFaces(ANSCENTER::ANSFacialRecognition** Handle, int userId, unsigned char* jpeg_string, unsigned int bufferLength, LStrHandle faceIdsStr) {
    try {
        if (!Handle || !*Handle || !jpeg_string || bufferLength == 0 || !faceIdsStr) return -1;
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<int> faceIds = (*Handle)->InsertMultipleFaces(userId, frame);
        std::string st;
        for (size_t i = 0; i < faceIds.size(); ++i) {
            if (i > 0) st += ";";
            st += std::to_string(faceIds[i]);
        }
        return CopyToLStrHandle(faceIdsStr, st);
    }
	catch (const std::exception& e) {
		return -1;
	}
}


extern "C" ANSFR_API int          CheckFaceEmbedding(ANSCENTER::ANSFacialRecognition** Handle, unsigned char* jpeg_string, unsigned int bufferLength) {
    try {
        if (!Handle || !*Handle || !jpeg_string || bufferLength == 0) return -1;
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) {
            return 0;
        }
        int result = (*Handle)->CheckFace(frame);
        return result;
    }
	catch (const std::exception& e) {
		return -1;
	}
}

extern "C" ANSFR_API int          InsertFaceBinary(ANSCENTER::ANSFacialRecognition** Handle, int userId, unsigned char* jpeg_bytes, unsigned int width, unsigned int height) {
    try {
        if (!Handle || !*Handle || !jpeg_bytes || width == 0 || height == 0) return -1;
        cv::Mat frame = cv::Mat(height, width, CV_8UC3, jpeg_bytes).clone(); // make a copy
        if (frame.empty()) {
            return 0;
        }
        int result = (*Handle)->InsertFace(userId, frame);
        return result;
    }
	catch (const std::exception& e) {
		return -1;
	}
}
extern "C" ANSFR_API int          DeleteFace(ANSCENTER::ANSFacialRecognition** Handle, int faceId) {
    try {
        if (!Handle || !*Handle) return -1;
        int result = (*Handle)->DeleteFace(faceId);
        return result;
    }
	catch (const std::exception& e) {
		return -1;
	}
}
extern "C" ANSFR_API int          Reload(ANSCENTER::ANSFacialRecognition** Handle) {
    try {
        if (!Handle || !*Handle) return -1;
        bool result = (*Handle)->Reload();
        if (result == true) return 1;
        else return 0;
    }
	catch (const std::exception& e) {
		return -1;
	}
}

// New management API
extern "C" ANSFR_API int		  GetUser(ANSCENTER::ANSFacialRecognition** Handle, int userId, LStrHandle userRecord) {
    try {
        if (!Handle || !*Handle || !userRecord) return -1;
        std::string st;
        (*Handle)->GetUser(userId, st);
        return CopyToLStrHandle(userRecord, st);
    }
	catch (const std::exception& e) {
		return -1;
	}
}
extern "C" ANSFR_API int		  GetUsers(ANSCENTER::ANSFacialRecognition** Handle, LStrHandle userRecords) {
    try {
        if (!Handle || !*Handle || !userRecords) return -1;
        std::string st;
        std::vector<int> userIds;
        (*Handle)->GetUsers(st, userIds);
        return CopyToLStrHandle(userRecords, st);
    }
	catch (const std::exception& e) {
		return -1;
	}
}
extern "C" ANSFR_API int		  GetFace(ANSCENTER::ANSFacialRecognition** Handle, int faceId, LStrHandle faceRecord) {
    try {
        if (!Handle || !*Handle || !faceRecord) return -1;
        std::string st;
        (*Handle)->GetFace(faceId, st);
        return CopyToLStrHandle(faceRecord, st);
    }
    catch (const std::exception& e) {
        return -1;
    }
}
extern "C" ANSFR_API int		  GetFaces(ANSCENTER::ANSFacialRecognition** Handle, int userId, LStrHandle faceRecords) {
    try {
        if (!Handle || !*Handle || !faceRecords) return -1;
        std::string st;
        (*Handle)->GetFaces(userId, st);
        return CopyToLStrHandle(faceRecords, st);
    }
    catch (const std::exception& e) {
        return -1;
    }
}
extern "C" ANSFR_API int		  DeleteFacesByUser(ANSCENTER::ANSFacialRecognition** Handle, int userId) {
    try {
        if (!Handle || !*Handle) return -1;
        int ret = (*Handle)->DeleteFacesByUser(userId);
        return ret;
    }
    catch (const std::exception& e) {
        return -1;
    }
}


// For testing only
extern "C" ANSFR_API int		  GetUserString(ANSCENTER::ANSFacialRecognition** Handle, int userId, std::string& userRecord) {
    try {
        if (!Handle || !*Handle) return -1;
        (*Handle)->GetUser(userId, userRecord);
        return 1;
    }
    catch (const std::exception& e) {
        return -1;
    }
}
extern "C" ANSFR_API int		  GetUsersString(ANSCENTER::ANSFacialRecognition** Handle, std::string& userRecords, std::vector<int>& userIds) {
    try {
        if (!Handle || !*Handle) return -1;
        (*Handle)->GetUsers(userRecords, userIds);
        return 1;
    }
    catch (const std::exception& e) {
        return -1;
    }
}
extern "C" ANSFR_API int		  GetFaceString(ANSCENTER::ANSFacialRecognition** Handle, int faceId, std::string& faceRecord) {
    try {
        if (!Handle || !*Handle) return -1;
        (*Handle)->GetFace(faceId, faceRecord);
        return 1;
    }
    catch (const std::exception& e) {
        return -1;
    }
}
extern "C" ANSFR_API int		  GetFacesString(ANSCENTER::ANSFacialRecognition** Handle, int userId, std::string& faceRecords) {
    try {
        if (!Handle || !*Handle) return -1;
        (*Handle)->GetFaces(userId, faceRecords);
        return 1;
    }
    catch (const std::exception& e) {
        return -1;
    }
}


extern "C" ANSFR_API double       BlurCalculation(unsigned char* jpeg_string, unsigned int bufferLength) {
    try {
        if (!jpeg_string || bufferLength == 0) return -1;
        cv::Mat image = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        cv::Mat gray;
        cvtColor(image, gray, cv::COLOR_BGR2GRAY);
        cv::Mat laplacian;
        Laplacian(gray, laplacian, CV_64F);
        cv::Scalar mean, stddev;
        meanStdDev(laplacian, mean, stddev);
        image.release();
        gray.release();
        return stddev.val[0] * stddev.val[0];
    }
	catch (const std::exception& e) {
		return -1;
	}
}


// Unicode conversion utilities for LabVIEW wrapper classes
extern "C" ANSFR_API int ANSFR_ConvertUTF8ToUTF16LE(const char* utf8Str, LStrHandle result, int includeBOM) {
	try {
		if (!utf8Str || !result) return -1;
		int len = (int)strlen(utf8Str);
		if (len == 0) return 0;
		const char bom[2] = { '\xFF', '\xFE' };
		bool hasUnicodeEscapes = false;
		for (int i = 0; i + 1 < len; i++) {
			if (utf8Str[i] == '\\' && utf8Str[i + 1] == 'u') { hasUnicodeEscapes = true; break; }
		}
		if (hasUnicodeEscapes) {
			std::string utf16le;
			if (includeBOM) utf16le.assign(bom, 2);
			utf16le.reserve(len * 2 + 2);
			for (int i = 0; i < len; ) {
				if (i + 5 < len && utf8Str[i] == '\\' && utf8Str[i + 1] == 'u') {
					char hex[5] = { utf8Str[i + 2], utf8Str[i + 3], utf8Str[i + 4], utf8Str[i + 5], 0 };
					uint16_t cp = (uint16_t)strtoul(hex, nullptr, 16);
					utf16le += static_cast<char>(cp & 0xFF);
					utf16le += static_cast<char>((cp >> 8) & 0xFF);
					i += 6;
				} else {
					utf16le += utf8Str[i];
					utf16le += '\0';
					i++;
				}
			}
			int size = (int)utf16le.size();
			MgErr error = DSSetHandleSize(result, sizeof(int32) + size * sizeof(uChar));
			if (error != noErr) return -2;
			(*result)->cnt = size;
			memcpy((*result)->str, utf16le.data(), size);
			return 1;
		}
#ifdef _WIN32
		int wideLen = MultiByteToWideChar(CP_UTF8, 0, utf8Str, len, nullptr, 0);
		if (wideLen <= 0) return 0;
		std::wstring wideStr(wideLen, 0);
		MultiByteToWideChar(CP_UTF8, 0, utf8Str, len, &wideStr[0], wideLen);
		int dataSize = wideLen * (int)sizeof(wchar_t);
		int bomSize = includeBOM ? 2 : 0;
		int totalSize = bomSize + dataSize;
		MgErr error = DSSetHandleSize(result, sizeof(int32) + totalSize * sizeof(uChar));
		if (error != noErr) return -2;
		(*result)->cnt = totalSize;
		if (includeBOM) memcpy((*result)->str, bom, 2);
		memcpy((*result)->str + bomSize, wideStr.data(), dataSize);
		return 1;
#else
		return 0;
#endif
	}
	catch (...) { return -1; }
}

extern "C" ANSFR_API int ANSFR_ConvertUTF16LEToUTF8(const unsigned char* utf16leBytes, int byteLen, LStrHandle result) {
	try {
		if (!utf16leBytes || byteLen <= 0 || !result) return -1;
		bool isUtf16le = (byteLen >= 2 && byteLen % 2 == 0);
		if (isUtf16le) {
			bool isAscii = true;
			for (int i = 1; i < byteLen; i += 2) {
				if (utf16leBytes[i] != 0x00) { isAscii = false; break; }
			}
			if (isAscii) {
				int asciiLen = byteLen / 2;
				MgErr error = DSSetHandleSize(result, sizeof(int32) + asciiLen * sizeof(uChar));
				if (error != noErr) return -2;
				(*result)->cnt = asciiLen;
				for (int i = 0; i < asciiLen; i++) (*result)->str[i] = utf16leBytes[i * 2];
				return 1;
			}
		}
#ifdef _WIN32
		int wideLen = byteLen / (int)sizeof(wchar_t);
		const wchar_t* wideStr = reinterpret_cast<const wchar_t*>(utf16leBytes);
		int utf8Len = WideCharToMultiByte(CP_UTF8, 0, wideStr, wideLen, nullptr, 0, nullptr, nullptr);
		if (utf8Len <= 0) return 0;
		std::string utf8Str(utf8Len, 0);
		WideCharToMultiByte(CP_UTF8, 0, wideStr, wideLen, &utf8Str[0], utf8Len, nullptr, nullptr);
		MgErr error = DSSetHandleSize(result, sizeof(int32) + utf8Len * sizeof(uChar));
		if (error != noErr) return -2;
		(*result)->cnt = utf8Len;
		memcpy((*result)->str, utf8Str.data(), utf8Len);
		return 1;
#else
		return 0;
#endif
	}
	catch (...) { return -1; }
}

extern "C" ANSFR_API int          UpdateParameters(ANSCENTER::ANSFacialRecognition** Handle, float knownPersonThreshold, int enableAgeGender, int enableFaceEmotions, int enableHeadPose, int minFaceSize, float faceDetectorThreshold, int enableFaceliveness, int antiSpoof, int removeFakeFaces) {
    try {
        if (!Handle || !*Handle) return -1;
        bool _enableAgeGender = false;
        bool _enableFaceEmotions = false;
        bool _enableHeadPose = false;
		bool _enablefaceLiveness = false;
		bool _enableantiSpoof = false;
		bool _removeFakeFaces = false;
        if (enableAgeGender == 1)_enableAgeGender = true;
        if (enableFaceEmotions == 1)_enableFaceEmotions = true;
        if (enableHeadPose == 1)_enableHeadPose = true;
		if (enableFaceliveness == 1)_enablefaceLiveness = true;
        if (antiSpoof == 1)_enableantiSpoof = true;
        if (removeFakeFaces == 1)_removeFakeFaces = true;
        bool result = (*Handle)->UpdateParameters(knownPersonThreshold, _enableAgeGender, _enableFaceEmotions, _enableHeadPose, minFaceSize, faceDetectorThreshold, _enablefaceLiveness, _enableantiSpoof, _removeFakeFaces);
        if (result)return 1;
        else return 0;
    }
	catch (const std::exception& e) {
		return -1;
	}

}


extern "C" ANSFR_API int		  GetParamters(ANSCENTER::ANSFacialRecognition** Handle, LStrHandle faceParams) {
    try {
        if (!Handle || !*Handle || !faceParams) return -1;
        std::string st;
        float knownPersonThrehold;
        bool  enableAgeGender;
        bool  enableEmotions;
        bool  enableHeadPose;
		bool  enablefaceLiveness;
		bool  enableantiSpoof;
		bool  removeFakeFaces;

        int   _enableAgeGender = 0;
        int   _enableEmotions = 0;
        int   _enableHeadPose = 0;
        int   _enablefaceLiveness = 0;
		int   _enableantiSpoof = 0;
		int   _removeFakeFaces = 0;

        int   _minFaceSize = 0;
		float  faceDetectionThreshold;
        (*Handle)->GetFaceParameters(knownPersonThrehold, enableAgeGender, enableEmotions, enableHeadPose, _minFaceSize, faceDetectionThreshold, enablefaceLiveness, enableantiSpoof,removeFakeFaces);

        if (enableAgeGender)_enableAgeGender = 1;
        if (enableEmotions)_enableEmotions = 1;
        if (enableHeadPose)_enableHeadPose = 1;
        if (enablefaceLiveness)_enablefaceLiveness = 1;
		if (enableantiSpoof)_enableantiSpoof = 1;
		if (removeFakeFaces)_removeFakeFaces = 1;

        st = std::to_string(knownPersonThrehold) + ";" +
            std::to_string(_enableAgeGender) + ";" +
            std::to_string(_enableEmotions) + ";" +
            std::to_string(_enableHeadPose) + ";" +
            std::to_string(_minFaceSize) + ";" +
            std::to_string(faceDetectionThreshold)+";"+
            std::to_string(_enablefaceLiveness) + ";" +
            std::to_string(_enableantiSpoof) + ";" +
            std::to_string(_removeFakeFaces);

        return CopyToLStrHandle(faceParams, st);
    }
	catch (const std::exception& e) {
		return -1;
	}
}
extern "C" ANSFR_API int          UpdateFaceQueue(ANSCENTER::ANSFacialRecognition** Handle, int queueSize, int numKnownFaceInQueue, int enableFaceQueue) {
    try {
        if (!Handle || !*Handle) return -1;
        bool _enableFaceQueue = false;
        if (enableFaceQueue == 1)_enableFaceQueue = true;
        bool result = (*Handle)->UpdateFaceQueue(queueSize, numKnownFaceInQueue, _enableFaceQueue);
        if (result)return 1;
        else return 0;
    }
    catch (const std::exception& e) {
        return -1;
    }
}
extern "C" ANSFR_API int		  GetFaceQueue(ANSCENTER::ANSFacialRecognition** Handle, LStrHandle faceQueue) {
    try {
        if (!Handle || !*Handle || !faceQueue) return -1;
        std::string st;
        int  faceQueueSize;
        int  numKnownFaceInQueue;
        bool enableFaceQueue = false;
        int  _enableAgeGender = 0;

        (*Handle)->GetFaceQueue(faceQueueSize, numKnownFaceInQueue, enableFaceQueue);

        if (enableFaceQueue)_enableAgeGender = 1;
        st = std::to_string(faceQueueSize) + ";" +
            std::to_string(numKnownFaceInQueue) + ";" +
            std::to_string(_enableAgeGender);

        return CopyToLStrHandle(faceQueue, st);
    }
	catch (const std::exception& e) {
		return -1;
	}
}

extern "C" ANSFR_API int RunInferenceComplete_LV(
    ANSCENTER::ANSFacialRecognition** Handle,
    cv::Mat** cvImage,
    const char* cameraId,
    int getJpegString,
    int jpegImageSize,
    LStrHandle detectionResult,
    LStrHandle imageStr)
{
    // Validate inputs
    if (!cvImage || !(*cvImage) || (*cvImage)->empty()) return -2;
    if (!Handle || !(*Handle)) return -2;
    if (!cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return -3;
    auto* engine = guard.get();

    try {
        // Lookup NV12 frame data BEFORE cloning (clone creates new cv::Mat*)
        tl_currentGpuFrame() = ANSGpuFrameRegistry::instance().lookup(*cvImage);
        // Clone image for thread safety - streaming thread may swap the pointer
        cv::Mat localImage = (**cvImage).clone();
        int originalWidth = localImage.cols;
        int originalHeight = localImage.rows;
        if (originalWidth == 0 || originalHeight == 0) return -2;

        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Inference(localImage, cameraId);
        tl_currentGpuFrame() = nullptr;  // Clear after inference — prevent leaking to unrelated calls

        // All processing below is thread-local (no shared state)
        bool getJpeg = (getJpegString == 1);
        std::string stImage;

        int maxImageSize = originalWidth;
        bool resizeNeeded = (jpegImageSize > 0) && (jpegImageSize < maxImageSize);

        float ratio = 1.0f;
        int newWidth = originalWidth;
        int newHeight = originalHeight;

        // Scale bounding boxes if resizing
        if (resizeNeeded) {
            newWidth = jpegImageSize;
            newHeight = static_cast<int>(std::round(newWidth * static_cast<double>(originalHeight) / originalWidth));
            ratio = static_cast<float>(newWidth) / originalWidth;

            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x * ratio), newWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y * ratio), newHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width * ratio), newWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height * ratio), newHeight - obj.box.y));
            }
        }
        else {
            // Clamp to image bounds
            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x), originalWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y), originalHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width), originalWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height), originalHeight - obj.box.y));
            }
        }

        // Convert to JPEG if requested
        if (getJpeg) {
            cv::Mat processedImage = localImage;
            if (resizeNeeded) {
                cv::resize(localImage, processedImage, cv::Size(newWidth, newHeight), 0, 0, cv::INTER_AREA);
            }

            std::vector<uchar> buf;
            if (cv::imencode(".jpg", processedImage, buf, { cv::IMWRITE_JPEG_QUALITY, 50 })) {
                stImage.assign(buf.begin(), buf.end());
            }
        }

        // Convert to JSON and write detection result
        std::string stDetectionResult = engine->FaceObjectsToJsonString(outputs);
        if (!CopyToLStrHandle(detectionResult, stDetectionResult)) return 0;

        // Write JPEG to LabVIEW string handle if requested
        if (getJpeg) {
            if (!CopyToLStrHandle(imageStr, stImage)) return 0;
        }

        return 1;
    }
    catch (const std::exception&) {
        return 0;
    }
    catch (...) {
        return 0;
    }
}
extern "C" ANSFR_API int RunFaceDetectionComplete_LV(
    ANSCENTER::ANSFacialRecognition** Handle,
    cv::Mat** cvImage,
    const char* cameraId,
    int getJpegString,
    int jpegImageSize,
    LStrHandle detectionResult,
    LStrHandle imageStr)
{
    // Validate inputs
    if (!cvImage || !(*cvImage) || (*cvImage)->empty()) return -2;
    if (!Handle || !(*Handle)) return -2;
    if (!cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return -3;
    auto* engine = guard.get();

    try {
        // Lookup NV12 frame data BEFORE cloning (clone creates new cv::Mat*)
        tl_currentGpuFrame() = ANSGpuFrameRegistry::instance().lookup(*cvImage);
        // Clone image for thread safety - streaming thread may swap the pointer
        cv::Mat localImage = (**cvImage).clone();
        int originalWidth = localImage.cols;
        int originalHeight = localImage.rows;
        if (originalWidth == 0 || originalHeight == 0) return -2;

        std::vector<ANSCENTER::Object> outputs = engine->FaceDetect(localImage, cameraId);
        tl_currentGpuFrame() = nullptr;

        // All processing below is thread-local (no shared state)
        bool getJpeg = (getJpegString == 1);
        std::string stImage;

        int maxImageSize = originalWidth;
        bool resizeNeeded = (jpegImageSize > 0) && (jpegImageSize < maxImageSize);

        float ratio = 1.0f;
        int newWidth = originalWidth;
        int newHeight = originalHeight;

        // Scale bounding boxes if resizing
        if (resizeNeeded) {
            newWidth = jpegImageSize;
            newHeight = static_cast<int>(std::round(newWidth * static_cast<double>(originalHeight) / originalWidth));
            ratio = static_cast<float>(newWidth) / originalWidth;

            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x * ratio), newWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y * ratio), newHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width * ratio), newWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height * ratio), newHeight - obj.box.y));
            }
        }
        else {
            // Clamp to image bounds
            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x), originalWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y), originalHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width), originalWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height), originalHeight - obj.box.y));
            }
        }

        // Convert to JPEG if requested
        if (getJpeg) {
            cv::Mat processedImage = localImage;
            if (resizeNeeded) {
                cv::resize(localImage, processedImage, cv::Size(newWidth, newHeight), 0, 0, cv::INTER_AREA);
            }

            std::vector<uchar> buf;
            if (cv::imencode(".jpg", processedImage, buf, { cv::IMWRITE_JPEG_QUALITY, 50 })) {
                stImage.assign(buf.begin(), buf.end());
            }
        }

        // Convert to JSON and write detection result
        std::string stDetectionResult = engine->FaceToJsonString(outputs);
        if (!CopyToLStrHandle(detectionResult, stDetectionResult)) return 0;

        // Write JPEG to LabVIEW string handle if requested
        if (getJpeg) {
            if (!CopyToLStrHandle(imageStr, stImage)) return 0;
        }

        return 1;
    }
    catch (const std::exception&) {
        return 0;
    }
    catch (...) {
        return 0;
    }
}
extern "C" ANSFR_API int RunFaceRecogniserComplete_LV(
    ANSCENTER::ANSFacialRecognition** Handle,
    cv::Mat** cvImage,
    const char* cameraId,
    int getJpegString,
    int jpegImageSize,
    LStrHandle detectionResult,
    LStrHandle imageStr)
{
    // Validate inputs
    if (!cvImage || !(*cvImage) || (*cvImage)->empty()) return -2;
    if (!Handle || !(*Handle)) return -2;
    if (!cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(*Handle));
    if (!guard) return -3;
    auto* engine = guard.get();

    try {
        // Lookup NV12 frame data BEFORE cloning (clone creates new cv::Mat*)
        tl_currentGpuFrame() = ANSGpuFrameRegistry::instance().lookup(*cvImage);
        // Clone image for thread safety - streaming thread may swap the pointer
        cv::Mat localImage = (**cvImage).clone();
        int originalWidth = localImage.cols;
        int originalHeight = localImage.rows;
        if (originalWidth == 0 || originalHeight == 0) return -2;

        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Recognize(localImage, cameraId);
        tl_currentGpuFrame() = nullptr;

        // All processing below is thread-local (no shared state)
        bool getJpeg = (getJpegString == 1);
        std::string stImage;

        int maxImageSize = originalWidth;
        bool resizeNeeded = (jpegImageSize > 0) && (jpegImageSize < maxImageSize);

        float ratio = 1.0f;
        int newWidth = originalWidth;
        int newHeight = originalHeight;

        // Scale bounding boxes if resizing
        if (resizeNeeded) {
            newWidth = jpegImageSize;
            newHeight = static_cast<int>(std::round(newWidth * static_cast<double>(originalHeight) / originalWidth));
            ratio = static_cast<float>(newWidth) / originalWidth;

            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x * ratio), newWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y * ratio), newHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width * ratio), newWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height * ratio), newHeight - obj.box.y));
            }
        }
        else {
            // Clamp to image bounds
            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x), originalWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y), originalHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width), originalWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height), originalHeight - obj.box.y));
            }
        }

        // Convert to JPEG if requested
        if (getJpeg) {
            cv::Mat processedImage = localImage;
            if (resizeNeeded) {
                cv::resize(localImage, processedImage, cv::Size(newWidth, newHeight), 0, 0, cv::INTER_AREA);
            }

            std::vector<uchar> buf;
            if (cv::imencode(".jpg", processedImage, buf, { cv::IMWRITE_JPEG_QUALITY, 50 })) {
                stImage.assign(buf.begin(), buf.end());
            }
        }

        // Convert to JSON and write detection result
        std::string stDetectionResult = engine->FaceObjectsToJsonString(outputs);
        if (!CopyToLStrHandle(detectionResult, stDetectionResult)) return 0;

        // Write JPEG to LabVIEW string handle if requested
        if (getJpeg) {
            if (!CopyToLStrHandle(imageStr, stImage)) return 0;
        }

        return 1;
    }
    catch (const std::exception&) {
        return 0;
    }
    catch (...) {
        return 0;
    }
}

// ============================================================================
// V2 API — accepts uint64_t handle by value (eliminates LabVIEW buffer reuse bug)
// ============================================================================
#define FR_V2_HANDLE_SETUP(handleVal) \
    ANSCENTER::ANSFacialRecognition* _v2Direct = reinterpret_cast<ANSCENTER::ANSFacialRecognition*>(handleVal); \
    if (_v2Direct == nullptr) return 0; \
    ANSCENTER::ANSFacialRecognition* _v2Arr[1] = { _v2Direct }; \
    ANSCENTER::ANSFacialRecognition** Handle = &_v2Arr[0];

extern "C" ANSFR_API int RunInference_LV_V2(uint64_t handleVal, unsigned char* jpeg_string, unsigned int bufferLength, LStrHandle detectionResult) {
    FR_V2_HANDLE_SETUP(handleVal);
    try {
        if (!jpeg_string || bufferLength == 0 || !detectionResult) return -1;
        std::string st = RunANSRFInference(Handle, jpeg_string, bufferLength);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (const std::exception& e) {
        return -1;
    }
}

extern "C" ANSFR_API int RunInferenceWithCamId_LV_V2(uint64_t handleVal, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, LStrHandle detectionResult) {
    ANSCENTER::ANSFacialRecognition* _v2Direct = reinterpret_cast<ANSCENTER::ANSFacialRecognition*>(handleVal);
    if (_v2Direct == nullptr) return -1;
    if (!jpeg_string || bufferLength == 0 || !cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(_v2Direct));
    if (!guard) return -3;
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Inference(frame, cameraId);
        frame.release();
        std::string st = engine->FaceObjectsToJsonString(outputs);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (...) { return -1; }
}

extern "C" ANSFR_API int RunDetector_LV_V2(uint64_t handleVal, unsigned char* jpeg_string, unsigned int bufferLength, LStrHandle detectionResult) {
    FR_V2_HANDLE_SETUP(handleVal);
    try {
        if (!jpeg_string || bufferLength == 0 || !detectionResult) return -1;
        std::string st = RunANSRFDetector(Handle, jpeg_string, bufferLength);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (const std::exception& e) {
        return -1;
    }
}

extern "C" ANSFR_API int RunDetectorWithCamId_LV_V2(uint64_t handleVal, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, LStrHandle detectionResult) {
    ANSCENTER::ANSFacialRecognition* _v2Direct = reinterpret_cast<ANSCENTER::ANSFacialRecognition*>(handleVal);
    if (_v2Direct == nullptr) return -1;
    if (!jpeg_string || bufferLength == 0 || !cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(_v2Direct));
    if (!guard) return -3;
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Detect(frame, cameraId);
        frame.release();
        std::string st = engine->FaceObjectsToJsonString(outputs);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (...) { return -1; }
}

extern "C" ANSFR_API int RunRecognition_LV_V2(uint64_t handleVal, unsigned char* jpeg_string, unsigned int bufferLength, LStrHandle detectionResult) {
    FR_V2_HANDLE_SETUP(handleVal);
    try {
        if (!jpeg_string || bufferLength == 0 || !detectionResult) return -1;
        std::string st = RunANSRFRecognition(Handle, jpeg_string, bufferLength);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (const std::exception& e) {
        return -1;
    }
}

extern "C" ANSFR_API int RunRecognitionWithCamId_LV_V2(uint64_t handleVal, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, LStrHandle detectionResult) {
    ANSCENTER::ANSFacialRecognition* _v2Direct = reinterpret_cast<ANSCENTER::ANSFacialRecognition*>(handleVal);
    if (_v2Direct == nullptr) return -1;
    if (!jpeg_string || bufferLength == 0 || !cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(_v2Direct));
    if (!guard) return -3;
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Recognize(frame, cameraId);
        frame.release();
        std::string st = engine->FaceObjectsToJsonString(outputs);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (...) { return -1; }
}

extern "C" ANSFR_API int RunFaceDetection_LV_V2(uint64_t handleVal, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, LStrHandle detectionResult) {
    ANSCENTER::ANSFacialRecognition* _v2Direct = reinterpret_cast<ANSCENTER::ANSFacialRecognition*>(handleVal);
    if (_v2Direct == nullptr) return -1;
    if (!jpeg_string || bufferLength == 0 || !cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(_v2Direct));
    if (!guard) return -3;
    auto* engine = guard.get();
    try {
        cv::Mat frame = cv::imdecode(cv::Mat(1, bufferLength, CV_8UC1, jpeg_string), cv::IMREAD_COLOR);
        if (frame.empty()) return 0;
        std::vector<ANSCENTER::Object> outputs = engine->FaceDetect(frame, cameraId);
        frame.release();
        std::string st = engine->FaceToJsonString(outputs);
        return CopyToLStrHandle(detectionResult, st);
    }
    catch (...) { return -1; }
}

extern "C" ANSFR_API int RunInferenceComplete_LV_V2(
    uint64_t handleVal,
    cv::Mat** cvImage,
    const char* cameraId,
    int getJpegString,
    int jpegImageSize,
    LStrHandle detectionResult,
    LStrHandle imageStr)
{
    ANSCENTER::ANSFacialRecognition* _v2Direct = reinterpret_cast<ANSCENTER::ANSFacialRecognition*>(handleVal);
    if (_v2Direct == nullptr) return -1;
    if (!cvImage || !(*cvImage) || (*cvImage)->empty()) return -2;
    if (!cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(_v2Direct));
    if (!guard) return -3;
    auto* engine = guard.get();

    try {
        // Lookup NV12 frame data BEFORE cloning (clone creates new cv::Mat*)
        tl_currentGpuFrame() = ANSGpuFrameRegistry::instance().lookup(*cvImage);
        cv::Mat localImage = (**cvImage).clone();
        int originalWidth = localImage.cols;
        int originalHeight = localImage.rows;
        if (originalWidth == 0 || originalHeight == 0) return -2;

        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Inference(localImage, cameraId);
        tl_currentGpuFrame() = nullptr;

        bool getJpeg = (getJpegString == 1);
        std::string stImage;

        int maxImageSize = originalWidth;
        bool resizeNeeded = (jpegImageSize > 0) && (jpegImageSize < maxImageSize);

        float ratio = 1.0f;
        int newWidth = originalWidth;
        int newHeight = originalHeight;

        if (resizeNeeded) {
            newWidth = jpegImageSize;
            newHeight = static_cast<int>(std::round(newWidth * static_cast<double>(originalHeight) / originalWidth));
            ratio = static_cast<float>(newWidth) / originalWidth;

            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x * ratio), newWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y * ratio), newHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width * ratio), newWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height * ratio), newHeight - obj.box.y));
            }
        }
        else {
            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x), originalWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y), originalHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width), originalWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height), originalHeight - obj.box.y));
            }
        }

        if (getJpeg) {
            cv::Mat processedImage = localImage;
            if (resizeNeeded) {
                cv::resize(localImage, processedImage, cv::Size(newWidth, newHeight), 0, 0, cv::INTER_AREA);
            }

            std::vector<uchar> buf;
            if (cv::imencode(".jpg", processedImage, buf, { cv::IMWRITE_JPEG_QUALITY, 50 })) {
                stImage.assign(buf.begin(), buf.end());
            }
        }

        std::string stDetectionResult = engine->FaceObjectsToJsonString(outputs);
        if (!CopyToLStrHandle(detectionResult, stDetectionResult)) return 0;

        if (getJpeg) {
            if (!CopyToLStrHandle(imageStr, stImage)) return 0;
        }

        return 1;
    }
    catch (const std::exception&) {
        return 0;
    }
    catch (...) {
        return 0;
    }
}

extern "C" ANSFR_API int RunFaceDetectionComplete_LV_V2(
    uint64_t handleVal,
    cv::Mat** cvImage,
    const char* cameraId,
    int getJpegString,
    int jpegImageSize,
    LStrHandle detectionResult,
    LStrHandle imageStr)
{
    ANSCENTER::ANSFacialRecognition* _v2Direct = reinterpret_cast<ANSCENTER::ANSFacialRecognition*>(handleVal);
    if (_v2Direct == nullptr) return -1;
    if (!cvImage || !(*cvImage) || (*cvImage)->empty()) return -2;
    if (!cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(_v2Direct));
    if (!guard) return -3;
    auto* engine = guard.get();

    try {
        // Lookup NV12 frame data BEFORE cloning (clone creates new cv::Mat*)
        tl_currentGpuFrame() = ANSGpuFrameRegistry::instance().lookup(*cvImage);
        cv::Mat localImage = (**cvImage).clone();
        int originalWidth = localImage.cols;
        int originalHeight = localImage.rows;
        if (originalWidth == 0 || originalHeight == 0) return -2;

        std::vector<ANSCENTER::Object> outputs = engine->FaceDetect(localImage, cameraId);
        tl_currentGpuFrame() = nullptr;

        bool getJpeg = (getJpegString == 1);
        std::string stImage;

        int maxImageSize = originalWidth;
        bool resizeNeeded = (jpegImageSize > 0) && (jpegImageSize < maxImageSize);

        float ratio = 1.0f;
        int newWidth = originalWidth;
        int newHeight = originalHeight;

        if (resizeNeeded) {
            newWidth = jpegImageSize;
            newHeight = static_cast<int>(std::round(newWidth * static_cast<double>(originalHeight) / originalWidth));
            ratio = static_cast<float>(newWidth) / originalWidth;

            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x * ratio), newWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y * ratio), newHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width * ratio), newWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height * ratio), newHeight - obj.box.y));
            }
        }
        else {
            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x), originalWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y), originalHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width), originalWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height), originalHeight - obj.box.y));
            }
        }

        if (getJpeg) {
            cv::Mat processedImage = localImage;
            if (resizeNeeded) {
                cv::resize(localImage, processedImage, cv::Size(newWidth, newHeight), 0, 0, cv::INTER_AREA);
            }

            std::vector<uchar> buf;
            if (cv::imencode(".jpg", processedImage, buf, { cv::IMWRITE_JPEG_QUALITY, 50 })) {
                stImage.assign(buf.begin(), buf.end());
            }
        }

        std::string stDetectionResult = engine->FaceToJsonString(outputs);
        if (!CopyToLStrHandle(detectionResult, stDetectionResult)) return 0;

        if (getJpeg) {
            if (!CopyToLStrHandle(imageStr, stImage)) return 0;
        }

        return 1;
    }
    catch (const std::exception&) {
        return 0;
    }
    catch (...) {
        return 0;
    }
}

extern "C" ANSFR_API int RunFaceRecogniserComplete_LV_V2(
    uint64_t handleVal,
    cv::Mat** cvImage,
    const char* cameraId,
    int getJpegString,
    int jpegImageSize,
    LStrHandle detectionResult,
    LStrHandle imageStr)
{
    ANSCENTER::ANSFacialRecognition* _v2Direct = reinterpret_cast<ANSCENTER::ANSFacialRecognition*>(handleVal);
    if (_v2Direct == nullptr) return -1;
    if (!cvImage || !(*cvImage) || (*cvImage)->empty()) return -2;
    if (!cameraId || !detectionResult) return -1;

    FRHandleGuard guard(AcquireFRHandle(_v2Direct));
    if (!guard) return -3;
    auto* engine = guard.get();

    try {
        // Lookup NV12 frame data BEFORE cloning (clone creates new cv::Mat*)
        tl_currentGpuFrame() = ANSGpuFrameRegistry::instance().lookup(*cvImage);
        cv::Mat localImage = (**cvImage).clone();
        int originalWidth = localImage.cols;
        int originalHeight = localImage.rows;
        if (originalWidth == 0 || originalHeight == 0) return -2;

        std::vector<ANSCENTER::FaceResultObject> outputs = engine->Recognize(localImage, cameraId);
        tl_currentGpuFrame() = nullptr;

        bool getJpeg = (getJpegString == 1);
        std::string stImage;

        int maxImageSize = originalWidth;
        bool resizeNeeded = (jpegImageSize > 0) && (jpegImageSize < maxImageSize);

        float ratio = 1.0f;
        int newWidth = originalWidth;
        int newHeight = originalHeight;

        if (resizeNeeded) {
            newWidth = jpegImageSize;
            newHeight = static_cast<int>(std::round(newWidth * static_cast<double>(originalHeight) / originalWidth));
            ratio = static_cast<float>(newWidth) / originalWidth;

            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x * ratio), newWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y * ratio), newHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width * ratio), newWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height * ratio), newHeight - obj.box.y));
            }
        }
        else {
            for (auto& obj : outputs) {
                obj.box.x = std::max(0, std::min(static_cast<int>(obj.box.x), originalWidth - 1));
                obj.box.y = std::max(0, std::min(static_cast<int>(obj.box.y), originalHeight - 1));
                obj.box.width = std::max(1, std::min(static_cast<int>(obj.box.width), originalWidth - obj.box.x));
                obj.box.height = std::max(1, std::min(static_cast<int>(obj.box.height), originalHeight - obj.box.y));
            }
        }

        if (getJpeg) {
            cv::Mat processedImage = localImage;
            if (resizeNeeded) {
                cv::resize(localImage, processedImage, cv::Size(newWidth, newHeight), 0, 0, cv::INTER_AREA);
            }

            std::vector<uchar> buf;
            if (cv::imencode(".jpg", processedImage, buf, { cv::IMWRITE_JPEG_QUALITY, 50 })) {
                stImage.assign(buf.begin(), buf.end());
            }
        }

        std::string stDetectionResult = engine->FaceObjectsToJsonString(outputs);
        if (!CopyToLStrHandle(detectionResult, stDetectionResult)) return 0;

        if (getJpeg) {
            if (!CopyToLStrHandle(imageStr, stImage)) return 0;
        }

        return 1;
    }
    catch (const std::exception&) {
        return 0;
    }
    catch (...) {
        return 0;
    }
}