请用c++写一段ros程序,gazebo仿真环境下有一个深度相机,要求读取深度相机的深度图像和rgb图像,两者的话题名分别为/camera3/depth/image_raw和/camera3/rgb/image_raw,读取到的深度图存入/home/hudi/my_pic/town2/depth/video1,rgb图片存入/home/hudi/my_pic/town2/rgb/video1路径。
时间: 2023-06-29 13:15:45 浏览: 409
好的,以下是C++编写的ROS程序,用于读取深度相机的深度图像和RGB图像,并将它们存储到指定的文件路径中。
```cpp
#include <ros/ros.h>
#include <sensor_msgs/Image.h>
#include <cv_bridge/cv_bridge.h>
#include <opencv2/highgui/highgui.hpp>
void depthCallback(const sensor_msgs::ImageConstPtr& msg)
{
// Convert ROS image message to OpenCV Mat
cv_bridge::CvImagePtr cv_ptr;
try
{
cv_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::TYPE_32FC1);
}
catch (cv_bridge::Exception& e)
{
ROS_ERROR("cv_bridge exception: %s", e.what());
return;
}
// Save depth image to file
cv::Mat depth_image = cv_ptr->image;
cv::imwrite("/home/hudi/my_pic/town2/depth/video1", depth_image);
}
void rgbCallback(const sensor_msgs::ImageConstPtr& msg)
{
// Convert ROS image message to OpenCV Mat
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;
}
// Save RGB image to file
cv::Mat rgb_image = cv_ptr->image;
cv::imwrite("/home/hudi/my_pic/town2/rgb/video1", rgb_image);
}
int main(int argc, char** argv)
{
ros::init(argc, argv, "camera_subscriber");
ros::NodeHandle nh;
// Subscribe to depth and RGB image topics
ros::Subscriber depth_sub = nh.subscribe("/camera3/depth/image_raw", 1, depthCallback);
ros::Subscriber rgb_sub = nh.subscribe("/camera3/rgb/image_raw", 1, rgbCallback);
ros::spin();
return 0;
}
```
这段程序首先包含了必要的ROS和OpenCV头文件。然后定义了两个回调函数depthCallback和rgbCallback,分别用于处理深度图像和RGB图像。
在每个回调函数中,首先将ROS图像消息转换为OpenCV图像格式。然后将深度图像和RGB图像保存到指定的文件路径中。
最后,程序在主函数中订阅/camera3/depth/image_raw和/camera3/rgb/image_raw两个话题,等待接收图像消息,并调用相应的回调函数来处理它们。
请注意,这段程序假设深度图像是32位浮点型,RGB图像是BGR8格式。如果你的相机数据类型不同,请相应地更改代码。
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