01 Opencv系列(一)ROS和opencv图像数据的转换
ROS和opencv的使用关系
01基本工作原理
a. 为了便于ros与opencv联合使用,通过CvBridge库(ROS的一个库),提供ros与opencv间的接口;
b. CvBridge可以在cv_bridge包,在vision_opencv stack找到;
c. 各自图像格式及相互间的转换关系(ROS-sensor_msgs / Image传递图像格式/OpenCV cv :: Mat格式)
02代码实现示例
这是一个侦听ROS图像消息主题的节点,将图像转换为cv :: Mat,在其上绘制一个圆圈并使用OpenCV显示图像。然后通过ROS重新发布图像。
a. 在package.xml和CMakeLists.xml中(或使用catkin_create_pkg时),添加以下依赖项:
sensor_msgs
cv_bridge
roscpp
std_msgs
image_transport
b. 在/ src文件夹中创建image_converter.cpp文件并添加以下内容:
#include <ros/ros.h> #include <image_transport/image_transport.h>//使用image_transport在ROS中发布和订阅图像,并允许您订阅压缩图像流。 #include <cv_bridge/cv_bridge.h> #include <sensor_msgs/image_encodings.h> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/highgui/highgui.hpp> static const std::string OPENCV_WINDOW = "Image window"; class ImageConverter { ros::NodeHandle nh_; image_transport::ImageTransport it_; image_transport::Subscriber image_sub_; image_transport::Publisher image_pub_; public: ImageConverter() : it_(nh_) { // Subscrive to input video feed and publish output video feed image_sub_ = it_.subscribe("/camera/image_raw", 1, &ImageConverter::imageCb, this); image_pub_ = it_.advertise("/image_converter/output_video", 1); cv::namedWindow(OPENCV_WINDOW); } ~ImageConverter() { cv::destroyWindow(OPENCV_WINDOW); } void imageCb(const sensor_msgs::ImageConstPtr& msg) { cv_bridge::CvImagePtr cv_ptr; try { cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::BGR8); } catch (cv_bridge::Exception& e) { ROS_ERROR("cv_bridge exception: %s", e.what()); return; } // Draw an example circle on the video stream if (cv_ptr->image.rows > 60 && cv_ptr->image.cols > 60) cv::circle(cv_ptr->image, cv::Point(50, 50), 10, CV_RGB(255,0,0)); // Update GUI Window cv::imshow(OPENCV_WINDOW, cv_ptr->image); cv::waitKey(3); // Output modified video stream image_pub_.publish(cv_ptr->toImageMsg()); } }; int main(int argc, char** argv) { ros::init(argc, argv, "image_converter"); ImageConverter ic; ros::spin(); return 0; }
感谢两位博主的无私分享,侵权请联系删除,参考链接:
1 https://blog.csdn.net/dengheCSDN/article/details/78983993
2 JunJun~博主详细讲解分享,原文链接:https://junjun.blog.csdn.net/article/details/83720949