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Fix model optimisation

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This commit is contained in:
Tuan Nghia Nguyen
2026-04-09 08:09:02 +10:00
parent 34854d87f4
commit eeb205779a
10 changed files with 688 additions and 160 deletions
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35
modules/ANSODEngine/ANSODEngine.h
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@@ -16,19 +16,30 @@ extern "C" ANSODENGINE_API std::string CreateANSODHandle(ANSCENTER::ANSODBase**
int autoDetectEngine,
int modelType,
int detectionType, int loadEngineOnCreation=1);
extern "C" ANSODENGINE_API std::string RunInference(ANSCENTER::ANSODBase * *Handle, unsigned char* jpeg_string, unsigned int bufferLength);
extern "C" ANSODENGINE_API std::string RunTiledInference(ANSCENTER::ANSODBase** Handle, unsigned char* jpeg_string, unsigned int bufferLength, int tiledWidth, int titledHeight, double overlap, const char* cameraId);
extern "C" ANSODENGINE_API std::string RunInferenceFromJpegString(ANSCENTER::ANSODBase** Handle, const char* jpeg_string, unsigned long jpeg_size, const char* cameraId);
extern "C" ANSODENGINE_API std::string RunTiledInferenceFromJpegString(ANSCENTER::ANSODBase** Handle, const char* jpeg_string, unsigned long jpeg_size, int tiledWidth, int titledHeight, double overlap, const char* cameraId);
extern "C" ANSODENGINE_API int CreateANSODHandleEx(ANSCENTER::ANSODBase** Handle,
const char* licenseKey,
const char* modelFilePath,
const char* modelFileZipPassword,
float detectionScoreThreshold,
float modelConfThreshold,
float modelMNSThreshold,
int autoDetectEngine,
int modelType,
int detectionType, std::string& labelMap, int loadEngineOnCreation=1);
ANSODENGINE_API std::string RunInference(ANSCENTER::ANSODBase** Handle, unsigned char* jpeg_string, unsigned int bufferLength);
ANSODENGINE_API std::string RunTiledInference(ANSCENTER::ANSODBase** Handle, unsigned char* jpeg_string, unsigned int bufferLength, int tiledWidth, int titledHeight, double overlap, const char* cameraId);
ANSODENGINE_API std::string RunInferenceFromJpegString(ANSCENTER::ANSODBase** Handle, const char* jpeg_string, unsigned long jpeg_size, const char* cameraId);
ANSODENGINE_API std::string RunTiledInferenceFromJpegString(ANSCENTER::ANSODBase** Handle, const char* jpeg_string, unsigned long jpeg_size, int tiledWidth, int titledHeight, double overlap, const char* cameraId);
ANSODENGINE_API std::string RunInferenceInCroppedBBoxImages(ANSCENTER::ANSODBase** Handle, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, const char* strBboxes);
ANSODENGINE_API std::string RunInferenceInCroppedPolygonImages(ANSCENTER::ANSODBase** Handle, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, const char* strPolygon);
ANSODENGINE_API std::string RunInferenceBinary(ANSCENTER::ANSODBase** Handle, unsigned char* jpeg_bytes, unsigned int width, unsigned int height);
ANSODENGINE_API std::string RunInferenceFromCV(ANSCENTER::ANSODBase** Handle, cv::Mat image);
ANSODENGINE_API std::string RunInferenceImagePath(ANSCENTER::ANSODBase** Handle, const char* imageFilePath);
ANSODENGINE_API int OptimizeModelStr(const char* modelFilePath, const char* modelFileZipPassword, int modelType, int modelDetectionType, int fp16, std::string& modelFolder);
extern "C" ANSODENGINE_API void RunTiledInferenceFromCV(ANSCENTER::ANSODBase** Handle, cv::Mat image, int tiledWidth, int titledHeight, double overlap, std::vector<ANSCENTER::Object>& results, const char* cameraId);
extern "C" ANSODENGINE_API std::string RunInferenceInCroppedBBoxImages(ANSCENTER::ANSODBase * *Handle, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, const char* strBboxes);
extern "C" ANSODENGINE_API std::string RunInferenceInCroppedPolygonImages(ANSCENTER::ANSODBase** Handle, unsigned char* jpeg_string, unsigned int bufferLength, const char* cameraId, const char* strPolygon);
extern "C" ANSODENGINE_API std::string RunInferenceBinary(ANSCENTER::ANSODBase * *Handle, unsigned char* jpeg_bytes, unsigned int width, unsigned int height);
extern "C" ANSODENGINE_API std::string RunInferenceImagePath(ANSCENTER::ANSODBase * *Handle,const char* imageFilePath);
extern "C" ANSODENGINE_API std::string OptimizeModelStr(const char* modelFilePath, const char* modelFileZipPassword, int modelType, int modelDetectionType, int fp16);
extern "C" ANSODENGINE_API std::string RunInferenceFromCV(ANSCENTER::ANSODBase** Handle, cv::Mat image);
extern "C" ANSODENGINE_API void RunDetectMovement(ANSCENTER::ANSODBase** Handle, cv::Mat image, const char* cameraId, std::vector<ANSCENTER::Object>& results);
extern "C" ANSODENGINE_API int ReleaseANSODHandle(ANSCENTER::ANSODBase **Handle);