在ros2上使用opencv显示一张图片

1.先将图片放到桌面上

2.打开终端ctrl+alt+T，查看自己是否已安装opencv

3.创建工作环境

4.进入工作目录并创建ROS2包添加OpenCV依赖项

5.进入/home/kong/opencv_ws/opencv_use/src目录创建.cpp文件并编辑

6.代码如下

my_opencv.cpp
#include <cstdio>
#include <opencv2/opencv.hpp>

using namespace cv;

int main(int argc, char ** argv)
{
  (void) argc;
  (void) argv;
  Mat src = imread("/home/kong/Desktop/image.png");
  if(src.empty()){
    printf("无法读取图片，请检查图片路径是否正确。\n");
  }
  imshow("src",src);
  waitKey(0);
  printf("hello world opencv_use package\n");
  return 0;
}

CMakeLists.txt
cmake_minimum_required(VERSION 3.8)
project(opencv_use)

if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
  add_compile_options(-Wall -Wextra -Wpedantic)
endif()

# find dependencies
find_package(ament_cmake REQUIRED)
find_package(rclcpp REQUIRED)
find_package(OpenCV REQUIRED)
find_package(sensor_msgs REQUIRED)
find_package(cv_bridge REQUIRED)
find_package(image_transport REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})


add_executable(my_opencv src/my_opencv.cpp)
target_link_libraries(my_opencv ${OpenCV_LIBRARIES})
target_include_directories(my_opencv PUBLIC
  $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
  $<INSTALL_INTERFACE:include>)
target_compile_features(my_opencv PUBLIC c_std_99 cxx_std_17)  # Require C99 and C++17
ament_target_dependencies(
  my_opencv
  "rclcpp"
  "OpenCV"
  "sensor_msgs"
  "cv_bridge"
  "image_transport"
)

install(TARGETS my_opencv
  DESTINATION lib/${PROJECT_NAME})

if(BUILD_TESTING)
  find_package(ament_lint_auto REQUIRED)
  # the following line skips the linter which checks for copyrights
  # comment the line when a copyright and license is added to all source files
  set(ament_cmake_copyright_FOUND TRUE)
  # the following line skips cpplint (only works in a git repo)
  # comment the line when this package is in a git repo and when
  # a copyright and license is added to all source files
  set(ament_cmake_cpplint_FOUND TRUE)
  ament_lint_auto_find_test_dependencies()
endif()

ament_package()

7.编译运行

现象