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I try to convert face_recognition_demo from python to c++. I managed to get the face detection and landmark detection running. But when I try to load face reidentification model it failed, this my code:
class FaceReidentification { public: void Init(InferenceEngine::Core& core, const std::string& File); void Process(const cv::Mat& img, const std::vector<cv::Rect>& results); auto& InputInfo() const { return m_InputInfo; } auto& OutputInfo() const { return m_OutputInfo; } auto& Network() const { return m_Network; } private: InferenceEngine::CNNNetwork m_Network; InferenceEngine::InputsDataMap m_InputInfo; InferenceEngine::OutputsDataMap m_OutputInfo; InferenceEngine::ExecutableNetwork m_ExecutableNetwork; InferenceEngine::InferRequest m_InferRequest; std::string m_InputName; std::string m_OutputName; };
void FaceReidentification::Init(InferenceEngine::Core& core, const std::string& File) { m_Network = core.ReadNetwork(File); m_InputInfo = ie::InputsDataMap(m_Network.getInputsInfo()); m_InputName = m_InputInfo.begin()->first; m_OutputInfo = ie::OutputsDataMap(m_Network.getOutputsInfo()); m_OutputName = m_OutputInfo.begin()->first; m_ExecutableNetwork = core.LoadNetwork(m_Network, "CPU"); // throw exception here m_InferRequest = m_ExecutableNetwork.CreateInferRequest(); }
I got 'Exception thrown at 0x00007FF87170354E (inference_engine_legacyd.dll) in vision.exe: 0xC00000FD: Stack overflow (parameters: 0x0000000000000001, 0x0000001E8C4A3FF8).'
This exception only happend in Debug mode, in Release mode nothing is thrown. Any idea what should I do ?
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I managed to solve the issue. I tried to create my program step by step and I found out that the exception only happen when I allocate a large array in the stack, my guess is that it makes the stack overflows when loading the network. When I change my array to be allocated in the heap, everything works fine.
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I managed to solve the issue. I tried to create my program step by step and I found out that the exception only happen when I allocate a large array in the stack, my guess is that it makes the stack overflows when loading the network. When I change my array to be allocated in the heap, everything works fine.

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