ros+opencv之简单入门

chasing · 发表于 2020-12-31 10:21:02

本帖最后由 chasing 于 2020-12-31 10:22 编辑

ROS和Opencv的融合，感觉还是各自干各自的活，只不过中间通过cv_bridge进行链接转换下。图片（视频流）的读取，既可以采用ＲＯＳ的方式，也可以采用 opencv直接读取。方便了和ROS其他包的扩展，也就不用考虑程序结构的实现了，确实是“不用重复造轮子”了。
程序代码如下：

#include <ros/ros.h>
#include <cv_bridge/cv_bridge.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
int main(int argc,char** argv)
{
ros::init(argc,argv,"image_test");
cv::Mat image;
cv::VideoCapture capture(0);
if(!capture.isOpened()){
ROS_ERROR("failed to open camera");
ros::shutdown();
}
image = cv::imread("/home/chasing/Templates/ros_tmp/src/opencvtest/src/ubuntu.png");
ROS_INFO_STREAM("opencv"<<image.cols<<"\t"<<image.rows);
cv::imshow("image",image);
cv::waitKey(0);
ros::NodeHandle nh;
ros::Publisher image_pub= nh.advertise<sensor_msgs::Image>("myopencv/image_raw",10);
cv::Mat edges;
ros::Rate rate(10);
while(ros::ok())
{
capture>>edges;
cv::imshow("image",edges);
cv::waitKey(2);
image_pub.publish(cv_bridge::CvImage(std_msgs::Header(), "bgr8", edges).toImageMsg());
// cv::cvtColor(image,edges,CV_BGR2GRAY);
cv::namedWindow("gray window");
cv::imshow("gray window",image);
cv::waitKey(2);
ros::spinOnce();
rate.sleep();
ROS_INFO_STREAM_THROTTLE(1,"hello,opencv");
}
}

复制代码

修改CMakeLists.txt如下：

cmake_minimum_required(VERSION 2.8.3)
project(opencvtest)
## Compile as C++11, supported in ROS Kinetic and newer
# add_compile_options(-std=c++11)
## Find catkin macros and libraries
## if COMPONENTS list like find_package(catkin REQUIRED COMPONENTS xyz)
## is used, also find other catkin packages
find_package(catkin REQUIRED COMPONENTS
cv_bridge
roscpp
std_msgs
)
find_package(OpenCV REQUIRED)
## System dependencies are found with CMake's conventions
# find_package(Boost REQUIRED COMPONENTS system)
## Uncomment this if the package has a setup.py. This macro ensures
## modules and global scripts declared therein get installed
## See http://ros.org/doc/api/catkin/html/user_guide/setup_dot_py.html
# catkin_python_setup()
################################################
## Declare ROS messages, services and actions ##
################################################
## To declare and build messages, services or actions from within this
## package, follow these steps:
## * Let MSG_DEP_SET be the set of packages whose message types you use in
## your messages/services/actions (e.g. std_msgs, actionlib_msgs, ...).
## * In the file package.xml:
## * add a build_depend tag for "message_generation"
## * add a build_depend and a exec_depend tag for each package in MSG_DEP_SET
## * If MSG_DEP_SET isn't empty the following dependency has been pulled in
## but can be declared for certainty nonetheless:
## * add a exec_depend tag for "message_runtime"
## * In this file (CMakeLists.txt):
## * add "message_generation" and every package in MSG_DEP_SET to
## find_package(catkin REQUIRED COMPONENTS ...)
## * add "message_runtime" and every package in MSG_DEP_SET to
## catkin_package(CATKIN_DEPENDS ...)
## * uncomment the add_*_files sections below as needed
## and list every .msg/.srv/.action file to be processed
## * uncomment the generate_messages entry below
## * add every package in MSG_DEP_SET to generate_messages(DEPENDENCIES ...)
## Generate messages in the 'msg' folder
# add_message_files(
# FILES
# Message1.msg
# Message2.msg
# )
## Generate services in the 'srv' folder
# add_service_files(
# FILES
# Service1.srv
# Service2.srv
# )
## Generate actions in the 'action' folder
# add_action_files(
# FILES
# Action1.action
# Action2.action
# )
## Generate added messages and services with any dependencies listed here
# generate_messages(
# DEPENDENCIES
# std_msgs
# )
################################################
## Declare ROS dynamic reconfigure parameters ##
################################################
## To declare and build dynamic reconfigure parameters within this
## package, follow these steps:
## * In the file package.xml:
## * add a build_depend and a exec_depend tag for "dynamic_reconfigure"
## * In this file (CMakeLists.txt):
## * add "dynamic_reconfigure" to
## find_package(catkin REQUIRED COMPONENTS ...)
## * uncomment the "generate_dynamic_reconfigure_options" section below
## and list every .cfg file to be processed
## Generate dynamic reconfigure parameters in the 'cfg' folder
# generate_dynamic_reconfigure_options(
# cfg/DynReconf1.cfg
# cfg/DynReconf2.cfg
# )
###################################
## catkin specific configuration ##
###################################
## The catkin_package macro generates cmake config files for your package
## Declare things to be passed to dependent projects
## INCLUDE_DIRS: uncomment this if your package contains header files
## LIBRARIES: libraries you create in this project that dependent projects also need
## CATKIN_DEPENDS: catkin_packages dependent projects also need
## DEPENDS: system dependencies of this project that dependent projects also need
catkin_package(
# INCLUDE_DIRS include
# LIBRARIES opencvtest
# CATKIN_DEPENDS cv_bridge roscpp std_msgs
# DEPENDS system_lib
)
###########
## Build ##
###########
## Specify additional locations of header files
## Your package locations should be listed before other locations
include_directories(
# include
${catkin_INCLUDE_DIRS}
)
include_directories(${OpneCV_INCLUDE_DIRS})
## Declare a C++ library
# add_library(${PROJECT_NAME}
# src/${PROJECT_NAME}/opencvtest.cpp
# )
## Add cmake target dependencies of the library
## as an example, code may need to be generated before libraries
## either from message generation or dynamic reconfigure
# add_dependencies(${PROJECT_NAME} ${${PROJECT_NAME}_EXPORTED_TARGETS} ${catkin_EXPORTED_TARGETS})
## Declare a C++ executable
## With catkin_make all packages are built within a single CMake context
## The recommended prefix ensures that target names across packages don't collide
add_executable(${PROJECT_NAME}_node src/opencvtest.cpp)
## Rename C++ executable without prefix
## The above recommended prefix causes long target names, the following renames the
## target back to the shorter version for ease of user use
## e.g. "rosrun someones_pkg node" instead of "rosrun someones_pkg someones_pkg_node"
# set_target_properties(${PROJECT_NAME}_node PROPERTIES OUTPUT_NAME node PREFIX "")
## Add cmake target dependencies of the executable
## same as for the library above
# add_dependencies(${PROJECT_NAME}_node ${${PROJECT_NAME}_EXPORTED_TARGETS} ${catkin_EXPORTED_TARGETS})
## Specify libraries to link a library or executable target against
target_link_libraries(${PROJECT_NAME}_node
${catkin_LIBRARIES}
)
target_link_libraries(${PROJECT_NAME}_node ${OpenCV_LIBRARIES})
#############
## Install ##
#############
# all install targets should use catkin DESTINATION variables
# See http://ros.org/doc/api/catkin/html/adv_user_guide/variables.html
## Mark executable scripts (Python etc.) for installation
## in contrast to setup.py, you can choose the destination
# install(PROGRAMS
# scripts/my_python_script
# DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
# )
## Mark executables for installation
## See http://docs.ros.org/melodic/api/ ... ng_executables.html
# install(TARGETS ${PROJECT_NAME}_node
# RUNTIME DESTINATION ${CATKIN_PACKAGE_BIN_DESTINATION}
# )
## Mark libraries for installation
## See http://docs.ros.org/melodic/api/ ... ding_libraries.html
# install(TARGETS ${PROJECT_NAME}
# ARCHIVE DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
# LIBRARY DESTINATION ${CATKIN_PACKAGE_LIB_DESTINATION}
# RUNTIME DESTINATION ${CATKIN_GLOBAL_BIN_DESTINATION}
# )
## Mark cpp header files for installation
# install(DIRECTORY include/${PROJECT_NAME}/
# DESTINATION ${CATKIN_PACKAGE_INCLUDE_DESTINATION}
# FILES_MATCHING PATTERN "*.h"
# PATTERN ".svn" EXCLUDE
# )
## Mark other files for installation (e.g. launch and bag files, etc.)
# install(FILES
# # myfile1
# # myfile2
# DESTINATION ${CATKIN_PACKAGE_SHARE_DESTINATION}
# )
#############
## Testing ##
#############
## Add gtest based cpp test target and link libraries
# catkin_add_gtest(${PROJECT_NAME}-test test/test_opencvtest.cpp)
# if(TARGET ${PROJECT_NAME}-test)
# target_link_libraries(${PROJECT_NAME}-test ${PROJECT_NAME})
# endif()
## Add folders to be run by python nosetests
# catkin_add_nosetests(test)

复制代码

示例程序结果

登录/注册后可看大图

这个图片是直接采用opencv进行读取摄像头和显示的。

登录/注册后可看大图

这个图片是采用ros中的rqt工具采集ros话题进行显示的。
程序的话，熟悉ros和opencv的话，应该很快就可以看懂。

[入门教程] ros+opencv之简单入门

评分