Windows下 CLion中，配置 OpenCV、LibTorch

首先按照win下C++部署深度学习模型之clion配置pytorch+opencv教程记录 步骤配置。

LibTorch 部分

在测试LibTorch时会出现类似 c10.dll not found 的问题（Debug才有）：

参考C++部署Pytorch（Libtorch）出现问题、错误汇总和
如何在windows10上使用cmake配置libtorch（vs2022版）

主要是MSVC需要这些 dll文件 。 可以如下修改CmakeList.txt让它找到：

cmake_minimum_required(VERSION 3.12)
project(opencv_test)set(CMAKE_CXX_STANDARD 17)set(CMAKE_PREFIX_PATH C:/Libraries/libtorch-win-shared-with-deps-2.3.0+cu118/libtorch)
#set(Torch_DIR "E:/libtorch/share/cmake/Torch")
#include_directories("E:/libtorch/include")
#include_directories("E:/libtorch/include/torch/csrc/api/include")
find_package(Torch REQUIRED)
message(STATUS "torch status: ${TORCH_FOUND}")
message(STATUS "torch library: ${TORCH_LIBRARIES}")
message(STATUS "TORCH_INSTALL_PREFIX: ${TORCH_INSTALL_PREFIX}")add_executable(opencv_test main.cpp)
target_link_libraries(opencv_test ${TORCH_LIBRARIES})if (MSVC)file(GLOB TORCH_DLLS "${TORCH_INSTALL_PREFIX}/lib/*.dll")add_custom_command(TARGET opencv_testPOST_BUILDCOMMAND ${CMAKE_COMMAND} -E copy_if_different${TORCH_DLLS}$<TARGET_FILE_DIR:opencv_test>)
endif (MSVC)if (CMAKE_VERSION VERSION_GREATER 3.12)set_property(TARGET opencv_test PROPERTY CXX_STANDARD 17)
endif()

OpenCV 部分

clion编译OpenCV时，install的位置在这（更多参考）：

不能用clion编译，还是会出现找不到 dll文件的问题！！！

参考如下链接用VS编译：

Windows 下使用 CMake + Visual Studio 2022 编译 OpenCV 4.8.1 及其扩展模块 （主要参考）

vs2019编译opencv

注： Opencv_world勾选后后面build可能会出问题，不知道怎么解决建议别勾。

之后记得把 D:\prj\opencv\opencv4\out\install\x64-Debug\x64\vc17\bin添加到环境变量。

之后在camke时你可能又出现了问题：

CMake Warning at C:/Libraries/opencv-4.8.1/cmake-build-release/install/OpenCVConfig.cmake:190 (message):Found OpenCV Windows Pack but it has no binaries compatible with yourconfiguration.You should manually point CMake variable OpenCV_DIR to your build of OpenCVlibrary.
Call Stack (most recent call first):CMakeLists.txt:8 (find_package)CMake Error at CMakeLists.txt:8 (find_package):Found package configuration file:C:/Libraries/opencv-4.8.1/cmake-build-release/install/OpenCVConfig.cmakebut it set OpenCV_FOUND to FALSE so package "OpenCV" is considered to beNOT FOUND.

这是因为OpenCV_DIR 应当精确到lib！！！ 故意的还是不小心的？？？

set(OpenCV_DIR C:/Libraries/opencv-4.8.1/cmake-build-release/install/lib)

完整工程文件

CmakeList.txt

cmake_minimum_required(VERSION 3.12)
project(opencv_test)
set(CMAKE_CXX_STANDARD 17)set(CMAKE_BUILD_TYPE "Release")set(OpenCV_DIR C:/Libraries/opencv-4.8.1/build/install/lib)  # 这里要精确到lib！
find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})
message(STATUS "OpenCV status:" ${OpenCV_FOUND})
message(STATUS "OpenCV Libs:" ${OpenCV_LIBS})set(CMAKE_PREFIX_PATH C:/Libraries/libtorch-win-shared-with-deps-2.3.0+cu118/libtorch)
#set(Torch_DIR "E:/libtorch/share/cmake/Torch")
#include_directories("E:/libtorch/include")
#include_directories("E:/libtorch/include/torch/csrc/api/include")
find_package(Torch REQUIRED)
message(STATUS "torch status: ${TORCH_FOUND}")
message(STATUS "torch library: ${TORCH_LIBRARIES}")
message(STATUS "TORCH_INSTALL_PREFIX: ${TORCH_INSTALL_PREFIX}")add_executable(opencv_test main.cpp)
target_link_libraries(opencv_test${TORCH_LIBRARIES}${OpenCV_LIBS}
)if (MSVC)file(GLOB TORCH_DLLS "${TORCH_INSTALL_PREFIX}/lib/*.dll")file(GLOB OpenCV_DLLS "${OpenCV_DIR}/../bin/*.dll")add_custom_command(TARGET opencv_testPOST_BUILDCOMMAND ${CMAKE_COMMAND} -E copy_if_different${TORCH_DLLS} ${OpenCV_DLLS}$<TARGET_FILE_DIR:opencv_test>)
endif (MSVC)

main.cpp

#include <iostream>
#include <torch/script.h>
#include <torch/torch.h>#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>void test_libtorch_version() {if (torch::cuda::cudnn_is_available()){std::cout << "cuDNN is available." << std::endl;}else{std::cout << "cuDNN is not available." << std::endl;}if (torch::cuda::is_available()){std::cout << "CUDA is available." << std::endl;}else{std::cout << "CUDA is not available." << std::endl;}std::cout << "Device count : " << torch::cuda::device_count() << std::endl;}int main(int, char**)  {torch::Tensor a = torch::rand({2, 3});std::cout << a << std::endl;test_libtorch_version();torch::Tensor b = torch::randint(10, 20, { 3, 2 });std::cout << b << std::endl;std::string path = "C:\\Users\\THM\\Documents\\Projects\\test_openvins_py\\data\\coco_bike.jpg";cv::Mat im = cv::imread(path);cv::imshow("image", im);cv::waitKey(0);return 0;
}