Autonomy Software C++ 24.5.1
Welcome to the Autonomy Software repository of the Mars Rover Design Team (MRDT) at Missouri University of Science and Technology (Missouri S&T)! API reference contains the source code and other resources for the development of the autonomy software for our Mars rover. The Autonomy Software project aims to compete in the University Rover Challenge (URC) by demonstrating advanced autonomous capabilities and robust navigation algorithms.
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yolomodel::tensorflow::TPUInterpreter Member List

This is the complete list of members for yolomodel::tensorflow::TPUInterpreter, including all inherited members.

CloseHardware()TensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inline
DeviceTypeToString(edgetpu::DeviceType eDeviceType)TensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inlineprotected
GetDeviceIsOpened() constTensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inline
GetEdgeManager()TensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inlineprotected
GetHardwareDevices()TensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inlinestatic
GetInputShape(const int nTensorIndex=0)yolomodel::tensorflow::TPUInterpreterinlineprivate
GetOpenedHardwareDevices()TensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inlinestatic
GetOutputShape(const int nTensorIndex=0)yolomodel::tensorflow::TPUInterpreterinlineprivate
Inference(const cv::Mat &cvInputFrame, const float fMinObjectConfidence=0.85, const float fNMSThreshold=0.6) overrideyolomodel::tensorflow::TPUInterpreterinlinevirtual
m_cvFrame (defined in yolomodel::tensorflow::TPUInterpreter)yolomodel::tensorflow::TPUInterpreterprivate
OpenAndLoad(DeviceType eDeviceType=eAuto)TensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inline
ParseTensorOutputYOLOv5(int nOutputIndex, std::vector< int > &vClassIDs, std::vector< float > &vClassConfidences, std::vector< cv::Rect > &vBoundingBoxes, float fMinObjectConfidence, int nOriginalFrameWidth, int nOriginalFrameHeight)yolomodel::tensorflow::TPUInterpreterinlineprivate
ParseTensorOutputYOLOv8(int nOutputIndex, std::vector< int > &vClassIDs, std::vector< float > &vClassConfidences, std::vector< cv::Rect > &vBoundingBoxes, float fMinObjectConfidence, int nOriginalFrameWidth, int nOriginalFrameHeight)yolomodel::tensorflow::TPUInterpreterinlineprivate
TensorflowTPU(std::string szModelPath, PerformanceModes ePowerMode=eHigh, unsigned int unMaxBulkInQueueLength=32, bool bUSBAlwaysDFU=false)TensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inline
TPUInterpreter(std::string szModelPath, PerformanceModes ePowerMode=eHigh, unsigned int unMaxBulkInQueueLength=32, bool bUSBAlwaysDFU=false)yolomodel::tensorflow::TPUInterpreterinline
~TensorflowTPU()TensorflowTPU< std::vector< std::vector< Detection > >, cv::Mat >inline
~TPUInterpreter()yolomodel::tensorflow::TPUInterpreterinline