ANSCORE/ANSLIB/ANSLIB.cpp

#include "ANSLIB.h"
#include "ANSLibsLoader.h"
#include <memory>
#define LOAD_FUNC(name) \
    name##Func = (name##FuncT)GetProcAddress(dllHandle, #name); \
    if (!name##Func) { success = false; }
namespace ANSCENTER
{
    ANSLIB::ANSLIB() {
        // Ensure all shared DLLs (OpenCV, OpenVINO, TRT, ORT) are pre-loaded
        ANSCENTER::ANSLibsLoader::Initialize();

        const char* dllPath = "C:\\ProgramData\\ANSCENTER\\Shared\\ANSODEngine.dll"; // Hardcoded path
        dllHandle = LoadLibraryA(dllPath);
        if (!dllHandle) {
            return;
        }
        bool success = true;
        LOAD_FUNC(CreateANSODHandle_CS);
        LOAD_FUNC(RunInference_CPP);
        LOAD_FUNC(RunInferenceComplete_CPP);
        LOAD_FUNC(OptimizeModelStr_CS);
        LOAD_FUNC(GetEngineType);
        LOAD_FUNC(LoadModelFromFolder);
        LOAD_FUNC(GetActiveRect);
        LOAD_FUNC(DetectMovement);
		LOAD_FUNC(Optimize);
        LOAD_FUNC(GetODParameters);
        LOAD_FUNC(ReleaseANSODHandle);
        LOAD_FUNC(UpdateDetectionMinScore);
        LOAD_FUNC(SetPrompt);
        LOAD_FUNC(SetTracker);
        LOAD_FUNC(SetTrackerParameters);
        loaded = success;
        if (!loaded) {
            FreeLibrary(dllHandle);
            dllHandle = nullptr;
        }
    }

    ANSLIB* ANSLIB::Create() {
        try {
            auto ptr = std::make_unique<ANSLIB>();
            return ptr.release();
        }
        catch (...) { return nullptr; }
    }

    void ANSLIB::Destroy(ANSLIB* instance) {
        std::unique_ptr<ANSLIB> ptr(instance);
    }

    ANSLIB::~ANSLIB() noexcept {
        try {
            if (ANSHandle && ReleaseANSODHandleFunc) {
                ReleaseANSODHandleFunc(&ANSHandle);
                ANSHandle = nullptr;
            }
            if (dllHandle) {
                FreeLibrary(dllHandle);
                dllHandle = nullptr;
            }
        }
        catch (...) {}
    }

    bool ANSLIB::IsLoaded() const {
        return loaded;
    }

    // Public APIs
    int ANSLIB::Initialize(const char* licenseKey,
        const char* modelFilePath,
        const char* modelFileZipPassword,
        float modelThreshold,
        float modelConfThreshold,
        float modelNMSThreshold,
        int modelType,
        int detectionType, int loadEngineOnCreation,std::string& labels)
    {
        if (!loaded) {
            return -1;
        }
        if (CreateANSODHandle_CSFunc) {
            const char* result = CreateANSODHandle_CSFunc(&ANSHandle, licenseKey, modelFilePath, modelFileZipPassword,
                modelThreshold, modelConfThreshold, modelNMSThreshold,
                1, modelType, detectionType, loadEngineOnCreation);
            labels = (result != nullptr) ? std::string(result) : std::string();
            if (labels.empty()) {
                return -1;
            }
            else {
                return 1;
            }
        }
        return 0;
    }

    int ANSLIB::RunInference(cv::Mat cvImage, const char* cameraId, std::vector<ANSCENTER::Object>& detectionResult) {
        if (!loaded) {
            return -1;
        }
        if (RunInference_CPPFunc) {
            auto imagePtr = std::make_unique<cv::Mat>(cvImage);
            try {
                cv::Mat* rawPtr = imagePtr.get();
                int result = RunInference_CPPFunc(&ANSHandle, &rawPtr, cameraId, detectionResult);
                return result;
            }
            catch (...) {
                return -1;
            }
        }
        return -1;
    }
    int ANSLIB::RunInferenceWithOptions(cv::Mat cvImage, const char* cameraId, const char* activeROIMode, std::vector<ANSCENTER::Object>& detectionResult) {
        if (!loaded) {
            return -1;
        }
        if (RunInferenceComplete_CPPFunc) {
            auto imagePtr = std::make_unique<cv::Mat>(cvImage);
            try {
                cv::Mat* rawPtr = imagePtr.get();
                int result = RunInferenceComplete_CPPFunc(&ANSHandle, &rawPtr, cameraId, activeROIMode,detectionResult);
                return result;
            }
            catch (...) {
                return -1;
            }
        }
        return -1;
    }
    int ANSLIB::OptimizeModel(const char* modelFilePath, const char* modelFileZipPassword, int modelType, int modelDetectionType,int fp16) {
        if (!loaded) {
            return -1;
        }
        if (OptimizeModelStr_CSFunc) {
            const char* result = OptimizeModelStr_CSFunc(modelFilePath, modelFileZipPassword, modelType, modelDetectionType, fp16);
            if (result) {
                return 1;
            }
            else {
                return -1;
            }
        }
        return -1;
    }

    const char* ANSLIB::CreateANSODHandle_CS(void** Handle, const char* licenseKey, const char* modelFilePath,
        const char* modelFileZipPassword, float modelThreshold, float modelConfThreshold,
        float modelNMSThreshold, int autoDetectEngine, int modelType, int detectionType, int loadEngineOnCreation) {
        return CreateANSODHandle_CSFunc ? CreateANSODHandle_CSFunc(Handle, licenseKey, modelFilePath, modelFileZipPassword,
            modelThreshold, modelConfThreshold, modelNMSThreshold,
            autoDetectEngine, modelType, detectionType, loadEngineOnCreation)
            : "Function not loaded";
    }

    const char* ANSLIB::OptimizeModelStr_CS(const char* modelFilePath, const char* modelFileZipPassword, int modelType, int modelDetectionType,int fp16) {
        return OptimizeModelStr_CSFunc ? OptimizeModelStr_CSFunc(modelFilePath, modelFileZipPassword, modelType, modelDetectionType,fp16)
            : "Function not loaded";
    }

    int ANSLIB::RunInference_CPP(void** Handle, cv::Mat** cvImage, const char* cameraId, std::vector<ANSCENTER::Object>& detectionResult) {
        return RunInference_CPPFunc ? RunInference_CPPFunc(Handle, cvImage, cameraId, detectionResult) : -1;
    }
    int ANSLIB::RunInferenceComplete_CPP(void** Handle, cv::Mat** cvImage, const char* cameraId, const char* activeROIMode, std::vector<ANSCENTER::Object>& detectionResult) {
        return RunInferenceComplete_CPPFunc ? RunInferenceComplete_CPPFunc(Handle, cvImage, cameraId, activeROIMode, detectionResult) : -1;
    }
    int ANSLIB::GetEngineType() {
        if (!loaded || !GetEngineTypeFunc) return -1;
        return GetEngineTypeFunc();
    }

    int ANSLIB::LoadModelFromFolder(const char* licenseKey, const char* modelName, const char* className,
        float detectionScoreThreshold, float modelConfThreshold, float modelMNSThreshold,
        int autoDetectEngine, int modelType, int detectionType, int loadEngineOnCreation, const char* modelFolder,std::string& labelMap)
    {
        if (!loaded || !LoadModelFromFolderFunc) return -1;
        return LoadModelFromFolderFunc(&ANSHandle, licenseKey, modelName, className,
            detectionScoreThreshold, modelConfThreshold, modelMNSThreshold,
            autoDetectEngine, modelType, detectionType, loadEngineOnCreation,modelFolder, labelMap);
    }

    int ANSLIB::GetActiveRect(cv::Mat cvImage, cv::Rect& activeWindow) {
        if (!loaded || !GetActiveRectFunc) return -1;
        return GetActiveRectFunc(&ANSHandle, cvImage, activeWindow);
    }

    int ANSLIB::DetectMovement(cv::Mat image, const char* cameraId, std::vector<Object>& results) {
        if (!loaded || !DetectMovementFunc) return -1;
        return DetectMovementFunc(&ANSHandle, image, cameraId, results);
    }
    int ANSLIB::ReleaseANSODHandle(void** Handle) {
        return ReleaseANSODHandleFunc ? ReleaseANSODHandleFunc(Handle) : -1;
    }
    cv::Rect ANSLIB::GetActiveWindow(cv::Mat cvImage) {
		cv::Rect activeWindow;
		if (GetActiveRect(cvImage, activeWindow) == 0) {
			return activeWindow;
		}
		return cv::Rect(); // Return an empty rectangle if failed
    }
    int ANSLIB::GetODParameters(ANSCENTER::Params& param) {
        if (!loaded || !GetODParametersFunc) return -1;
        return GetODParametersFunc(&ANSHandle, param);
    }
    int ANSLIB::Optimize(bool fp16) {
        if (!loaded || !OptimizeFunc) return -1;
        return OptimizeFunc(&ANSHandle, fp16);
    }
    int ANSLIB::UpdateDetectionMinScore(float scoreThreshold) {
        if (!loaded || !UpdateDetectionMinScoreFunc) return -1;
		return UpdateDetectionMinScoreFunc(&ANSHandle, scoreThreshold);
    }
    int ANSLIB::SetPrompt(const char* text) {
        if (!loaded || !SetPromptFunc) return -1;
        return SetPromptFunc(&ANSHandle, text);
    }
    int ANSLIB::SetTracker(int trackerType, int enableTracker) {
        if (!loaded || !SetTrackerFunc) return -1;
        return SetTrackerFunc(&ANSHandle, trackerType, enableTracker);
    }
    int ANSLIB::SetTrackerParameters(const char* trackerParams) {
        if (!loaded || !SetTrackerParametersFunc) return -1;
        return SetTrackerParametersFunc(&ANSHandle, trackerParams);
    }
}