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NUWA-HP60C Depth Camera📖
1.ROS1-Depth camera usage course
  • 1. Environment Construction
  • 2. Camera recording video
2.ROS1-ROS+OpenCV application
  • 1.ROS+Opencv Basics
  • 2.Face recognition
  • 3.Harris corner detection
  • 4. Target Tracking Algorithm
  • 5. Contour moment
  • 6. Polygonal Outlines
  • 7. Discrete Fourier Transform Algorithm
  • 8. Edge Detection Algorithm
  • 9. Face Detection Algorithm
  • 10. Optical flow detection algorithm
  • 11. Contour Detection
  • 12. General contour detection
  • 13. Feature point tracking
  • 14.HLS Color Filtering
  • 15. Hough circle detection
  • 16. Hough Line Detection
  • 17.HSV color filtering
  • 18.LK optical flow algorithm
  • 19. Human Detection Algorithm
  • 20. Phase-correlated displacement detection
  • 21. Image pyramid sampling algorithm
  • 22.RGB color filtering
  • 23. Clear background detection algorithm
  • 24. Streamlining the optical flow algorithm
  • 25. Simple Filter
  • 26. Threshold Image Processing
  • 27. Watershed segmentation algorithm
3.ROS1-Mediapipe course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Face Mesh
  • 5.Face recognition
  • 6.Face effects
  • 7.Face Detection
  • 8.3D Object Recognition
  • 9.Paintbrush
  • 10.Finger control
  • 11.Gesture Recognition
4.ROS1-Depth camera application course
  • 1. Camera calibration
  • 2. QR code
  • 3. Human Pose Estimation
  • 4. Target detection
  • 5. Point cloud data viewing
  • 6. AR Vision
  • 7.AR QR code tracking
  • 8. Color Tracking
  • 9. Object Tracking
5.ROS1-Linux basic course
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
6.ROS1-OpenCV course
  • 1.Opencv Source CV Introduction
  • 2.Image reading and display
  • 3.Picture writing
  • 4.Picture Quality
  • 5.Pixel Operation
  • 6.Picture scaling
  • 7.Picture cutting
  • 8.Picture translation
  • 9.Picture mirroring
  • 10.Affine transformation
  • 11.Picture rotation
  • 12.Perspective transformation
  • 13.Grayscale processing
  • 14.Image binarization
  • 15.Edge detection
  • 16.Line segment drawing
  • 17.Rectangle and circle drawing
  • 18.Text and picture drawing
7.ROS1 basic course
  • 1.ROS introduction
  • 2.ROS installation
  • 3.ROS common command tools
  • 4.ROS workspace
  • 5.ROS function package
  • 6.ROS node
  • 7.ROS topic publisher
  • 8.ROS topic subscribers
  • 9.ROS service client
  • 10.ROS service server
  • 11.ROS action client
  • 12.ROS action server
  • 13.ROS custom message reception
  • 14.ROS-launch file
  • 15.ROS-TF transformation
  • 16.ROS parameter service
  • 17.ROS-rviz use
  • 18.ROS-rqt tool usage
  • 19.Topic message recording and playback
  • 20.urdf model introduction
  • 21.gazebo introduction
  • 22.ROS distributed communication
8.ROS2-Depth Camera Application Course
  • 1. Use of Depth Camera
  • 2. Camera internal parameter calibration
  • 3. Color tracking
  • 4. KCF Object Tracking
  • 5. ORBSLAM2 Basics
  • 6. ORB_SLAM2 PCL Mapping
  • 7. ORB_SLAM2 Octomap Mapping
9.ROS2-OpenCV course
  • 1. ROS+OpenCV application
  • 2. QR code creation and recognition
  • 3. AR Vision
10.ROS2-Mediapipe course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Face Mess
  • 5.Face recognition
11.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
5.Bracket installation video
  • Bracket installation video
Download
  • ROS1_VM
  • ROS2_VM
  • ROS1_Code
  • ROS2_Code
  • DataSheet
  • 3D_Model_File
  • Windows Software
  • ROS2_Basic_VM
Download ZIP

Welcome to NUWA-HP60C Depth Camera repository

10.ROS service server

10.ROS service server

In the previous tutorial, we talked about how to write a client node program, so this program will explain how to write a server node. The server has a service callback function, which can be compared to the callback function of a topic subscriber. After receiving the request for service, describe the specific service content in the service callback function, and then return a response value.

10.1 Create a server

The general creation steps are as follows:

  • Initialize ROS nodes
  • Create server instance
  • Loop waiting for service requests and enter the callback function
  • Complete the function processing of the service in the callback function and feed back the response data

10.2 C++ version

10.2.1 Writing source code

In the src folder of the function package learn_server, create a C++ file (the file suffix is .cpp), name it turtle_vel_command_server.cpp, and paste the following content into turtle_vel_command_server.cpp.

/**
* This routine will execute the /turtle_vel_command service, service data type std_srvs/Trigger
*/
#include <ros/ros.h>
#include <geometry_msgs/Twist.h>
#include <std_srvs/Trigger.h>
ros::Publisher turtle_vel_pub;
bool pubvel = false;
// service callback function, input parameter req, output parameter res
bool pubvelCallback(std_srvs::Trigger::Request &req,
std_srvs::Trigger::Response &res)
{
    pubvel = !pubvel;
    ROS_INFO("Do you want to publish the vel?: [%s]",
    pubvel==true?"Yes":"No");// Print client request data
    // Set feedback data
    res.success = true;
    res.message = "The status is changed!";
    return true;
}
int main(int argc, char **argv)
{
    ros::init(argc, argv, "turtle_vel_command_server");
    ros::NodeHandle n;
    // Create a server called /turtle_vel_command and register the callback function pubvelCallback
    ros::ServiceServer command_service =
    n.advertiseService("/turtle_vel_command", pubvelCallback);
    // Create a Publisher, publish a topic named /turtle1/cmd_vel, the message type is geometry_msgs::Twist, and the queue length is 8
    turtle_vel_pub = n.advertise<geometry_msgs::Twist>("/turtle1/cmd_vel", 8);
    ros::Rate loop_rate(10);// Set the frequency of the loop
    while(ros::ok())
    {
        ros::spinOnce();// View a callback function queue
    // If pubvel is judged to be True, the turtle speed command will be issued.
        if(pubvel)
        {
            geometry_msgs::Twist vel_msg;
            vel_msg.linear.x = 0.6;
            vel_msg.angular.z = 0.8;
            turtle_vel_pub.publish(vel_msg);
        }
        loop_rate.sleep();//Delay according to cycle frequency
    }
    return 0;
}

10.2.2 Modify CMakeLists.txt file

Configure in CMakelist.txt, under the build area, add the following content,

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add_executable(turtle_vel_command_server src/turtle_vel_command_server.cpp)
target_link_libraries(turtle_vel_command_server ${catkin_LIBRARIES})

10.2.3 Compile

Terminal input,

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cd ~/ros_ws
catkin_make

image-20231024094607120

After the compilation is passed, you need to re-source the current environment variables to find or update the program. Enter in the terminal.

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cd ~/ros_ws
source devel/setup.bash

10.2.4 Running the program

Open roscore,

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roscore

Run the little turtle node program,

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rosrun turtlesim turtlesim_node

Run the server node,

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rosrun learn_service turtle_vel_command_server

Calling a service,

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rosservice call /turtle_vel_command

Program running instructions:

First, after running the Little Turtle node, you can enter rosservice list in the terminal to see what services are currently available. The results are as follows:

image-20231024094707528

Then, we run the turtle_vel_command_server program and enter rosservice list, and we will find that there is an additional turtle_vel_command, as shown in the figure below,

image-20231024094824003

Then, we call this service by entering rosservice call /turtle_vel_command in the terminal, and we will find that the little turtle makes a circular motion. If we call the service again, the little turtle stops moving. This is because in the service callback function, we invert the value of pubvel and then feed it back. The main function will judge the value of pubvel. If it is True, the speed command will be issued. If it is False, no command will be issued.

image-20231024095011574

 

10.3 Python version

10.3.1 Writing source code

Create a new scripts folder under the function package learn_service, then create a new python file (file suffix .py) in this scripts folder, name it turtle_vel_command_server.py, copy and paste the following program code into the turtle_vel_command_server.py file,

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This routine will execute the /turtle_command service, service data type std_srvs/Trigger
import rospy
import _thread,time
from geometry_msgs.msg import Twist
from std_srvs.srv import Trigger, TriggerResponse
pubvel = False;
turtle_vel_pub = rospy.Publisher('/turtle1/cmd_vel', Twist, queue_size=8)
def pubvel_thread():
    while True:
        if pubvel:
            vel_msg = Twist()
            vel_msg.linear.x = 0.6
            vel_msg.angular.z = 0.8
            turtle_vel_pub.publish(vel_msg)
        time.sleep(0.1)
def pubvelCallback(req):
    global pubvel
    pubvel = bool(1-pubvel)
    rospy.loginfo("Do you want to publish the vel?[%s]", pubvel)# Show request data
    return TriggerResponse(1, "Change state!")# Feedback data
def turtle_pubvel_command_server():
    rospy.init_node('turtle_vel_command_server')# ROS node initialization
    # Create a server named /turtle_command and register the callback function pubvelCallback
    s = rospy.Service('/turtle_vel_command', Trigger, pubvelCallback)
    # Loop waiting for callback function
    print ("Ready to receive turtle_pub_vel_command.")
    _thread.start_new_thread(pubvel_thread, ())
    rospy.spin()
if __name__ == "__main__":
    turtle_pubvel_command_server()

10.3.2 Running the program

Open roscore,

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roscore

Run the little turtle node program,

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rosrun turtlesim turtlesim_node

Run the server node,

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rosrun learn_service turtle_vel_command_server.py

Calling a service,

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rosservice call /turtle_vel_command

Enter rosservice call /turtle_vel_command in the terminal to call this service. You will find that the little turtle moves in a circle. If you call the service again, the little turtle stops moving.

image-20231024100444523

 

 

ROS service client
ROS action client

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