//Includes all the headers necessary to use the most common public pieces of the ROS system.
#include <ros/ros.h>
//Use image_transport for publishing and subscribing to images in ROS
#include <image_transport/image_transport.h>
//Use cv_bridge to convert between ROS and OpenCV Image formats
#include <cv_bridge/cv_bridge.h>
#include <sensor_msgs/image_encodings.h>
//Include headers for OpenCV Image processing
#include <opencv2/imgproc/imgproc.hpp>
//Include headers for OpenCV GUI handling
#include <opencv2/highgui/highgui.hpp>
#include<string>
#include <sstream>
using namespace cv;
using namespace std;
//Store all constants for image encodings in the enc namespace to be used later.
namespace enc = sensor_msgs::image_encodings;
void image_socket(Mat inImg);
Mat image1;
static int imgWidth, imgHeight;
//char *output_file = "/home/hsn/catkin_ws/src/rosopencv";
//This function is called everytime a new image_info message is published
void camInfoCallback(const sensor_msgs::CameraInfo & camInfoMsg)
{
//Store the image width for calculation of angle
imgWidth = camInfoMsg.width;
imgHeight = camInfoMsg.height;
}
//This function is called everytime a new image is published
void imageCallback(const sensor_msgs::ImageConstPtr& original_image)
{
//Convert from the ROS image message to a CvImage suitable for working with OpenCV for processing
cv_bridge::CvImagePtr cv_ptr;
try
{
//Always copy, returning a mutable CvImage
//OpenCV expects color images to use BGR channel order.
cv_ptr = cv_bridge::toCvCopy(original_image, enc::BGR8);
}
catch (cv_bridge::Exception& e)
{
//if there is an error during conversion, display it
ROS_ERROR("tutorialROSOpenCV::main.cpp::cv_bridge exception: %s", e.what());
return;
}
image_socket(cv_ptr->image);
}
void image_socket(Mat inImg)
{
imshow("image_socket", inImg);//显示图片
if( inImg.empty() )
{
ROS_INFO("Camera image empty");
return;//break;
}
stringstream sss;
string strs;
static int image_num = 1;
char c = (char)waitKey(1);
if( c == 27 )
ROS_INFO("Exit boss");//break;
switch(c)
{
case 'p':
resize(inImg,image1,Size(imgWidth/6,imgHeight/6),0,0,CV_INTER_LINEAR);
image1=image1(Rect(image1.cols/2-32,image1.rows/2-32, 64, 64));
strs="/home/hsn/catkin_ws/src/rosopencv";
sss.clear();
sss<<strs;
sss<<image_num;
sss<<".jpg";
sss>>strs;
imwrite(strs,image1);//保存图片
image_num++;
break;
default:
break;
}
}
/**
* This is ROS node to track the destination image
*/
int main(int argc, char **argv)
{
ros::init(argc, argv, "image_socket");
ROS_INFO("-----------------");
ros::NodeHandle nh;
image_transport::ImageTransport it(nh);
image_transport::Subscriber sub = it.subscribe("camera/rgb/image_raw", 1, imageCallback);
ros::Subscriber camInfo = nh.subscribe("camera/rgb/camera_info", 1, camInfoCallback);
ros::spin();
//ROS_INFO is the replacement for printf/cout.
ROS_INFO("tutorialROSOpenCV::main.cpp::No error.");
}
ros_opencv_按下键p从kinect获取一张一定大小的图片并处理
最新推荐文章于 2025-05-08 14:49:41 发布