Ubuntu下vscode配置OpenCV以及Libtorch

opencv安装

1. sudo apt-get update
2. sudo apt-get install libopencv-dev

该方式安装的版本可能比较旧。

测试代码

   #include 
   #include 

   int main() {
       cv::Mat image = cv::imread("t.png");
       cv::imshow("Image", image);
       cv::waitKey(0);
       return 0;
   }

Ctrl + F5，然后选择g++ build active file 运行代码。

出现对‘cv::imread(cv::String const&, int)’未定义的引用

编辑task.json文件，在args参数下末尾添加
“-lopencv_core”,
“-lopencv_imgcodecs”,
“-lopencv_highgui”

手动安装指定版本opencv

1. 官网下载指定版本的source代码，并解压到本地。

2. 解压后执行make命令

   mkdir build
   cd build
   cmake ..
   make -j8
   sudo make install
   

3. /etc/ld.so.conf.d/路径下创建任意一个.conf文件，把lib文件的路径写在里面,一般是 /usr/local/lib，然后执行 sudo ldconfig即可。（否则会报错：error while loading shared libraries: libopencv_core.so.3.4: cannot open shared object file）

Libtorch配置

1. 下载对应版本并解压。历史版本

2. 使用cmake进行构建。cmake内容如下：

   cmake_minimum_required(VERSION 2.6)
   
   project(libtorch_t)
   
   set(Torch_DIR /home/yang/Documents/libtorch/share/cmake/Torch)  #你解压的libtorch的绝对路径
   find_package(Torch REQUIRED)
   
   set(CMAKE_CXX_FLAGS "${CAMKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
   #set(CUDA_INCLUDE_DIRS "/usr/local/cuda/include")
   
   #main.cpp exe
   add_executable(libtorch_t libtorch_t.cpp)
   
   #link libtorch .a .so
   target_link_libraries(libtorch_t "${TORCH_LIBRARIES}")
   target_include_directories(libtorch_t PRIVATE CUDA_INCLUDE_DIRS)
   
   set_property(TARGET libtorch_t PROPERTY CXX_STANDARD 14)
   

3. 编写libtorch_t测试代码

   #include 
   #include 
   
   int main() {
     torch::Tensor tensor = torch::rand({2, 3});
     std::cout << tensor << std::endl;
   }
   

4. 运行run.sh 其内容如下：
   cmake .
   make
   ./libtorch_t