Migrate to C++17

CMakeLists.txt

@@ -12,10 +12,10 @@ if (OPENMP_FOUND)
     list(APPEND CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}")
 endif()
 
-set(CMAKE_CXX_STANDARD 14)
+set(CMAKE_CXX_STANDARD 17)
 
 if (CMAKE_COMPILER_IS_GNUCXX)
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wextra -pedantic-errors -std=c++14" CACHE STRING COMPILE_FLAGS FORCE)
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wextra -pedantic-errors" CACHE STRING COMPILE_FLAGS FORCE)
     set(CMAKE_CXX_FLAGS_RELEASE "-O3 -g -march=native -mtune=native -funroll-loops -Wall -DNDEBUG -DBOOST_DISABLE_ASSERTS" CACHE STRING COMPILE_FLAGS FORCE)
     set(CMAKE_CXX_FLAGS_DEBUG "-O0 -g -march=native -mtune=native -Wall -DDEBUG" CACHE STRING COMPILE_FLAGS FORCE)
 elseif (MSVC)

data/cmake.bat → data/cmake_vs2017.bat

@@ -15,6 +15,5 @@ cmake.exe . ..  -G "Visual Studio 15 2017 Win64" ^
           -DCUDNN_LIBRARY=C:/cudnn-10.0-windows10-x64-v7.6.5.32/cuda/lib/x64/cudnn.lib ^
           -DBUILD_YOLO_TENSORRT=ON ^
           -DTensorRT_LIBRARY=C:/TensorRT-5.1.5.0/lib/*.lib ^
-          -DTensorRT_INCLUDE_DIR=C:/TensorRT-5.1.5.0/include ^
-          -Dgflags_DIR=C:/work/libraries/gflags/build_x64
+          -DTensorRT_INCLUDE_DIR=C:/TensorRT-5.1.5.0/include
 cmake.exe --build . -j 6 --config Release

data/cmake_vs2019.bat

@@ -0,0 +1,19 @@
+cd ..
+md build
+cd build
+cmake.exe . ..  -G "Visual Studio 16 2019" -A "x64" ^
+          -DOpenCV_DIR=C:/work/libraries/opencv/opencv_64_cuda ^
+          -DUSE_OCV_BGFG=ON ^
+          -DUSE_OCV_KCF=ON  ^
+          -DUSE_OCV_UKF=ON  ^
+          -DSILENT_WORK=OFF ^
+          -DBUILD_EXAMPLES=ON ^
+          -DBUILD_ASYNC_DETECTOR=ON ^
+          -DBUILD_CARS_COUNTING=ON ^
+          -DBUILD_YOLO_LIB=ON ^
+          -DCUDNN_INCLUDE_DIR=C:/cudnn-10.0-windows10-x64-v7.6.5.32/cuda/include ^
+          -DCUDNN_LIBRARY=C:/cudnn-10.0-windows10-x64-v7.6.5.32/cuda/lib/x64/cudnn.lib ^
+          -DBUILD_YOLO_TENSORRT=ON ^
+          -DTensorRT_LIBRARY=C:/TensorRT-5.1.5.0/lib/*.lib ^
+          -DTensorRT_INCLUDE_DIR=C:/TensorRT-5.1.5.0/include
+cmake.exe --build . -j 6 --config Release

src/Detector/tensorrt_yolo/calibrator.cpp

@@ -27,6 +27,7 @@ SOFTWARE.
 #include <fstream>
 #include <iostream>
 #include <iterator>
+#include <random>
 
 Int8EntropyCalibrator::Int8EntropyCalibrator(const uint32_t& batchSize, const std::string& calibImages,
                                              const std::string& calibImagesPath,
@@ -44,10 +45,12 @@ Int8EntropyCalibrator::Int8EntropyCalibrator(const uint32_t& batchSize, const st
 {
     if (!fileExists(m_CalibTableFilePath, false))
     {
-        m_ImageList = loadImageList(calibImages, calibImagesPath);
-        m_ImageList.resize(static_cast<int>(m_ImageList.size() / m_BatchSize) * m_BatchSize);
-        std::random_shuffle(m_ImageList.begin(), m_ImageList.end(),
-                            [](int i) { return rand() % i; });
+		std::random_device rng;
+		std::mt19937 urng(rng());
+
+		m_ImageList = loadImageList(calibImages, calibImagesPath);
+		m_ImageList.resize(static_cast<int>(m_ImageList.size() / m_BatchSize) * m_BatchSize);
+		std::shuffle(m_ImageList.begin(), m_ImageList.end(), urng);
     }
 
     NV_CUDA_CHECK(cudaMalloc(&m_DeviceInput, m_InputCount * sizeof(float)));

src/Detector/tensorrt_yolo/class_yolo_detector.hpp

@@ -10,7 +10,6 @@
 #include "yolov4.h"
 #include "yolov5.h"
 
-#include <experimental/filesystem>
 #include <fstream>
 #include <string>
 #include <chrono>

src/Detector/tensorrt_yolo/ds_image.cpp

@@ -23,7 +23,14 @@ SOFTWARE.
 *
 */
 #include "ds_image.h"
+
+#ifdef _WIN32
+#include <filesystem>
+namespace fs = std::filesystem;
+#else
 #include <experimental/filesystem>
+namespace fs = std::experimental::filesystem;
+#endif
 
 DsImage::DsImage() :
     m_Height(0),
@@ -97,7 +104,7 @@ DsImage::DsImage(const std::string& path, const int& inputH, const int& inputW)
     m_RNG(cv::RNG(unsigned(std::time(0)))),
     m_ImageName()
 {
-    m_ImageName = std::experimental::filesystem::path(path).stem().string();
+    m_ImageName = fs::path(path).stem().string();
 	m_OrigImage = cv::imread(path, cv::IMREAD_UNCHANGED);
 
     if (!m_OrigImage.data || m_OrigImage.cols <= 0 || m_OrigImage.rows <= 0)
@@ -194,4 +201,4 @@ std::string DsImage::exportJson() const
             json << "}";
     }
     return json.str();
-}
+}

src/Detector/tensorrt_yolo/trt_utils.cpp

@@ -25,7 +25,15 @@ SOFTWARE.
 
 #include "trt_utils.h"
 #include <NvInferRuntimeCommon.h>
+
+#ifdef _WIN32
+#include <filesystem>
+namespace fs = std::filesystem;
+#else
 #include <experimental/filesystem>
+namespace fs = std::experimental::filesystem;
+#endif
+
 #include <fstream>
 #include <iomanip>
 using namespace nvinfer1;
@@ -82,7 +90,7 @@ float clamp(const float val, const float minVal, const float maxVal)
 
 bool fileExists(const std::string fileName, bool verbose)
 {
-    if (!std::experimental::filesystem::exists(std::experimental::filesystem::path(fileName)))
+    if (!fs::exists(fs::path(fileName)))
     {
         if (verbose) std::cout << "File does not exist : " << fileName << std::endl;
         return false;

src/Tracker/graph/GTL/src/bid_dijkstra.cpp

@@ -19,7 +19,7 @@ __GTL_BEGIN_NAMESPACE
  * @internal
  * Binary predicate that compares two nodes according to their distance.
  */
-	class less_dist : public std::binary_function<node, GTL::node, bool>
+	class less_dist
 {
 public:
 	/**

src/Tracker/graph/GTL/src/dijkstra.cpp

@@ -19,7 +19,7 @@ __GTL_BEGIN_NAMESPACE
  * @internal
  * Binary predicate that compares two nodes according to their distance.
  */
-	class less_dist : public std::binary_function<node, GTL::node, bool>
+	class less_dist
 {
 public:
 	/**