~suntianyu/baseDetector.git

			@@ -3,7 +3,7 @@

			#include "plugin_factory.h"
			#include "trt_utils.h"

			#include "calibrator.h"
			#include "NvInfer.h"
			#include "NvInferPlugin.h"
			#include "NvInferRuntimeCommon.h"
			@@ -16,6 +16,7 @@
			#include "../utils/time_util.h"
			#include "../config.h"
			#include "opencv2/opencv.hpp"
			#include <numeric>

			struct NetworkInfo
			{
			@@ -78,6 +79,7 @@
			const std::string m_DeviceType;
			const std::string m_InputBlobName;
			std::vector<TensorInfo> m_OutputTensors;
			std::vector<std::map<std::string, std::string>> m_configBlocks;
			uint32_t m_InputH;
			uint32_t m_InputW;
			uint32_t m_InputC;
			@@ -93,7 +95,7 @@
			22, 23, 24, 25, 27, 28, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44,
			46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
			67, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90};
			uint32_t m_BatchSize = 10;
			uint32_t m_BatchSize = 1;
			nvinfer1::INetworkDefinition* m_Network;
			nvinfer1::IBuilder* m_Builder ;
			nvinfer1::IHostMemory* m_ModelStream;
			@@ -172,12 +174,21 @@
			void setOutput(int type);
			private:
			Logger m_Logger;
			void createYOLOEngine(const nvinfer1::DataType dataType = nvinfer1::DataType::kFLOAT,
			Int8EntropyCalibrator* calibrator = nullptr);
			void writePlanFileToDisk();
			std::vector<std::map<std::string, std::string>> parseConfigFile(const std::string cfgFilePath);
			void parseConfigBlocks();
			void allocateBuffers();
			bool verifyEngine();
			void destroyNetworkUtils(std::vector<nvinfer1::Weights>& trtWeights);
			protected:
			const std::string m_NetworkType;
			std::unique_ptr<YoloTinyMaxpoolPaddingFormula> m_TinyMaxpoolPaddingFormula;

			private:
			Timer _timer;
			int _n_yolo_ind = 0;
			};

			#endif