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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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This is the complete list of members for TensorflowTPU< T, P >, including all inherited members.
CloseHardware() | TensorflowTPU< T, P > | inline |
DeviceType enum name (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | |
DeviceTypeToString(edgetpu::DeviceType eDeviceType) | TensorflowTPU< T, P > | inlineprotected |
GetDeviceIsOpened() const | TensorflowTPU< T, P > | inline |
GetEdgeManager() | TensorflowTPU< T, P > | inlineprotected |
GetHardwareDevices() | TensorflowTPU< T, P > | inlinestatic |
GetOpenedHardwareDevices() | TensorflowTPU< T, P > | inlinestatic |
Inference(const P &tInput, const float fMinObjectConfidence, const float fNMSThreshold)=0 (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | privatepure virtual |
m_bDeviceOpened (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | protected |
m_pEdgeTPUContext (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | protected |
m_pInterpreter (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | protected |
m_pTFLiteModel (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | protected |
m_szModelPath (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | protected |
m_tpuDevice (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | protected |
m_tpuDeviceOptions (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | protected |
OpenAndLoad(DeviceType eDeviceType=DeviceType::eAuto) | TensorflowTPU< T, P > | inline |
PerformanceModes enum name (defined in TensorflowTPU< T, P >) | TensorflowTPU< T, P > | |
TensorflowTPU(std::string szModelPath, PerformanceModes ePowerMode=PerformanceModes::eHigh, unsigned int unMaxBulkInQueueLength=32, bool bUSBAlwaysDFU=false) | TensorflowTPU< T, P > | inline |
~TensorflowTPU() | TensorflowTPU< T, P > | inline |