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::pytorch::PyTorchInterpreter Member List

This is the complete list of members for yolomodel::pytorch::PyTorchInterpreter, including all inherited members.

HardwareDevices enum name (defined in yolomodel::pytorch::PyTorchInterpreter)yolomodel::pytorch::PyTorchInterpreter
Inference(const cv::Mat &cvInputFrame, const float fMinObjectConfidence=0.85, const float fNMSThreshold=0.6)yolomodel::pytorch::PyTorchInterpreterinline
IsReadyForInference() constyolomodel::pytorch::PyTorchInterpreterinline
m_bReady (defined in yolomodel::pytorch::PyTorchInterpreter)yolomodel::pytorch::PyTorchInterpreterprivate
m_cvModelInputSize (defined in yolomodel::pytorch::PyTorchInterpreter)yolomodel::pytorch::PyTorchInterpreterprivate
m_szModelPath (defined in yolomodel::pytorch::PyTorchInterpreter)yolomodel::pytorch::PyTorchInterpreterprivate
m_szModelTask (defined in yolomodel::pytorch::PyTorchInterpreter)yolomodel::pytorch::PyTorchInterpreterprivate
m_trDevice (defined in yolomodel::pytorch::PyTorchInterpreter)yolomodel::pytorch::PyTorchInterpreterprivate
m_trModel (defined in yolomodel::pytorch::PyTorchInterpreter)yolomodel::pytorch::PyTorchInterpreterprivate
m_vClassLabels (defined in yolomodel::pytorch::PyTorchInterpreter)yolomodel::pytorch::PyTorchInterpreterprivate
ParseTensorOutputYOLOv5(const torch::Tensor &trOutput, std::vector< int > &vClassIDs, std::vector< float > &vClassConfidences, std::vector< cv::Rect > &vBoundingBoxes, const cv::Size &cvInputFrameSize, const float fMinObjectConfidence)yolomodel::pytorch::PyTorchInterpreterinlineprivate
ParseTensorOutputYOLOv8(const torch::Tensor &trOutput, std::vector< int > &vClassIDs, std::vector< float > &vClassConfidences, std::vector< cv::Rect > &vBoundingBoxes, const cv::Size &cvInputFrameSize, const float fMinObjectConfidence)yolomodel::pytorch::PyTorchInterpreterinlineprivate
PreprocessImage(const cv::Mat &cvInputFrame, const torch::Device &trDevice)yolomodel::pytorch::PyTorchInterpreterinlineprivate
PyTorchInterpreter(std::string szModelPath, HardwareDevices eHardwareDevice=HardwareDevices::eCUDA)yolomodel::pytorch::PyTorchInterpreterinline
~PyTorchInterpreter()yolomodel::pytorch::PyTorchInterpreterinline