yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
Raspberry Pi 4B📖
1.Preparation before use
  • 1.1 Download image
  • 1.2 Write image into SD card
  • 1.3 Start up Raspberry Pi
  • 1.4 Linux common commands
  • 1.5 Precautions
2.Basic course
  • 2.1 Log into Raspberry Pi system
  • 2.2 Change password and root account
  • 2.3 Remote transfer file
  • 2.4 Backup image file
  • 2.5 Fixing Raspberry Pi IP
  • 2.6 Set screen keep on
  • 2.7 Get Pi temperature
  • 2.8 Connect WIFI
  • 2.9 Modify Pi time
  • 2.10 Set the boot self-starting program
3.Expand course
  • 3.1 Serial port communicates with external devices
  • 3.2 2.Serial port login Pi
  • 3.3 Configured as a router
  • 3.4 Install Jupyter Lab
  • 3.5 Install Jupyter Widgets
  • 3.6 More Detail for Widgets
  • 3.7 Install OpenCV
  • 3.8 Install Tensorflow
4.Programming course
C language
  • 1.Development environment
  • 2.Print Hello World
  • 3.Pin output level
  • 4.Read pin level
  • 5.PWM output
Python language
  • 1.Development environment
  • 2.Print basic usage
  • 3.Pin output level
  • 4.Read pin level
  • 5.PWM output
5.AI vision course
A.Getting started with OpenCV
  • 6.Picture Rotation
  • 1.Introduction of OpenCV
  • 2.OpenCV image read and display
  • 3.OpenCV image write
  • 4.OpenCV image quality
  • 5.OpenCV pixel operation
B.OpenCV Geometric transformat
  • 1.Picture Zoom
  • 2.Picture Cut
  • 3.Picture Shift
  • 4.Picture Mirroring
  • 5.Affine Map
  • 7.Perspective Transformation
C.OpenCV picture processing
  • 1.Grayscale processing
  • 2.Image Binarization
  • 3.Edge detection
  • 4.Drawing line segment
  • 5.Drawing rectangle circle
  • 6.Drawing text picture
D.OpenCV image beautification
  • 1.Histogram of color pictures
  • 2.Histogram equalization
  • 3.Image restoration
  • 4.Brightness enhancement
  • 5.Skin whitening
  • 6.Gaussian mean filtering
  • 7.Median filtering
F.AI Advanced Course (Ubuntu system)
  • 1. QR code
  • 2. Human posture estimation
  • 3. Target detection
  • 4. Mediapipe development
  • 5. yolov4-tiny
E.Install TensorFlow
  • Install TensorFlow
6.ROS1 coursenew
Basic Course
  • 1.ROS introduction
  • 2.Project file structure
  • 3.Common commands and tools
  • 4.Publisher
  • 5.Subscribers
  • 6.Customize topic messages and use
  • 7.Client
  • 8.Server
  • 9.Custom service messages and usage
  • 10.TF release and monitoring
Visual Image Processing
  • 1. AR vision
  • 2. AR QR code
  • 3. ROS+Opencv foundation
  • 4. ROS+Opencv application
  • 5. MediaPipe development
7.ROS2 coursenew
Docker Course
  • 1.Overview and installation
  • 2.Common commands
  • 3.Understand and publish images
  • 4.Hardware interaction data processing
  • 5.Enter docker container
  • 6.Update docker images
Basic Course
  • 1.Introduction to ROS2
  • 2.Commands and tools
  • 3.ROS2 Topic communications
  • 4.ROS2 service communications
  • 5.ROS2launch file starts
OpenCV Course
  • 1.OpenCV Basic Course
  • 2.ROS+opencv application
  • 3.QR code recognition
  • 4.AR Vision
  • 5.Mediapipe
8.Accessories installation
  • 1. Installation of heat sink
  • 2. Wiring of cooling fan
  • 3. Double fan armor case Installation
  • 4. Argon NEO aluminum case installation
  • 5. Argon ONE aluminum alloy case installation
  • 6. Metal shell with built-in fan installation
  • 7. Acrylic case with cooling fan installation
  • 8. White-red ABS protective case installation
Download
  • Tools
  • C_code
  • Python code
  • ROS System
Download ZIP

Welcome to Raspberry Pi 4B repository

7.Client

7 Client

7 Client 7.1 Preparation 7.1.1 Create a function package 7.2 C++ language implementation 7.2.1 Implementation steps 7.2.2 Switch to the ~/catkin_ws/src/learning_server/src directory, create a new .cpp file, name it a_new_turtle, and paste the code below into it 7.3 Python language implementation 7.3.1 Switch to the ~/catkin_ws/src/learning_server directory, create a new script folder, cut it in, create a new py file, name it a_new_turtle, and paste the code below into it

In ROS communication, in addition to topic communication, there is also service communication. Services include clients and servers. The client requests the service and the server provides the service. This section takes the client as the main content and talks about how c++ and python implement the client.

7.1 Preparation

7.1.1 Create a function package

  1. switch to the ~/catkin_ws/src directory,
catkin_create_pkg learning_server std_msgs rospy roscpp geometry_msgs turtlesim 
  1. switch to the ~/catkin_ws directory,
xxxxxxxxxx
catkin_make 

7.2 C++ language implementation

7.2.1 Implementation steps

  1. initialize the ROS node
  2. create a handle
  3. create a Client instance
  4. initialize and publish service request data
  5. wait for the response result after server processing

7.2.2 Switch to the ~/catkin_ws/src/learning_server/src directory, create a new .cpp file, name it a_new_turtle, and paste the code below into it

a_new_turtle.cpp

​x
/** 
 * This routine will request the /spawn service in the turtle node, and a new turtle will appear at the specified location 
 */ 

#include <ros/ros.h> 
#include <turtlesim/Spawn.h> 

int  main(int  argc, char**  argv) 
{ 
    
    ros::init(argc, argv, "a_nes_turtle"); // initialize the ROS node 

    ros::NodeHandle  node; 

    ros::service::waitForService("/spawn"); // wait for /spawn service 
    
    ros::ServiceClient  new_turtle  =  node.serviceClient < turtlesim::Spawn >("/spawn"); //Create a service client and connect to the service named /spawn 

    // Initialize request data for turtlesim::Spawn 
    turtlesim::Spawn  new_turtle_srv; 
    new_turtle_srv.request.x  =  6.0; 
    new_turtle_srv.request.y  =  8.0; 
    new_turtle_srv.request.name  =  "turtle2"; 

    // Request the service to pass in xy position parameters and name parameters 
    ROS_INFO("Call service to create a new turtle name is %s,at the x:%.1f,y:%.1f", new_turtle_srv.request.name.c_str(), 
        new_turtle_srv.request.x, 
        new_turtle_srv.request.y); 

    new_turtle.call(new_turtle_srv); 

    
    ROS_INFO("Spwan turtle successfully [name:%s]", new_turtle_srv.response.name.c_str()); // Display service call result 

    return  0; 
}; 
  1. program flow chart

image-20220225112117967

  1. configure in CMakelist.txt, under the build area, add the following content
xxxxxxxxxx
add_executable(a_new_turtle src/a_new_turtle.cpp) 
target_link_libraries(a_new_turtle ${catkin_LIBRARIES}) 
  1. Compile the code in the workspace directory
xxxxxxxxxx
cd ~/catkin_ws 
catkin_make 
source devel/setup.bash #Environment      variables need to be configured, otherwise the system cannot find the running program 
  1. run the program
xxxxxxxxxx
roscore 
rosrun turtlesim turtlesim_node 
rosrun learning_server a_new_turtle 
  1. Screenshot of running effect

image-20220225112424249

  1. program description

After starting the node of the turtle, and running the a_new_turtle program, you will find that another turtle will appear on the screen. This is because the node of the turtle provides a service/spawn, which will generate another turtle. The services provided by the turtle can be viewed through the rosservice list command, as shown in the following figure

image-20220218180756612

You can view the parameters required by this service through rosservice info /spawn, as shown in the following figure

image-20220218181244822

It can be seen that there are 4 parameters: x, y, theta, name, these four parameters are initialized in a_new_turtle.cpp

xxxxxxxxxx
srv.request.x = 6.0; 
srv.request.y = 8.0; 
srv.request.name = "turtle2"; 
Note: theta is not assigned and defaults to 0 

7.3 Python language implementation

7.3.1 Switch to the ~/catkin_ws/src/learning_server directory, create a new script folder, cut it in, create a new py file, name it a_new_turtle, and paste the code below into it

a_new_turtle.py

xxxxxxxxxx
# !/usr/bin/env python 
# -*- coding: utf-8 -*- 


import  sys 
import  rospy 
from  turtlesim.srv  import  Spawn 

 def turtle_spawn(): 
    
    rospy.init_node ('new_turtle') # ROS node initialization 

    rospy.wait_for_service('/spawn') # wait for the /spawn service 

    try : 
        new_turtle  =  rospy.ServiceProxy('/spawn', Spawn) 

        
        response = new_turtle(2.0, 2.0, 0.0, "turtle2") # Enter request data 
        return  response _ .name 
    except  rospy.ServiceException, e : 
        print  "failed to call service : %s" % e 

if  __name__  ==  "__main__" : 
    #Service call and display the call result 
    print  "a new turtle named %s."  %(turtle_spawn()) 
  1. program flow chart

image-20220225113010789

  1. run the program
xxxxxxxxxx
roscore 
rosrun turtlesim turtlesim_node 
rosrun learning_server a_new_turtle.py 
  1. The program operation effect and program description are consistent with the effect achieved by C++. Here we mainly talk about how python provides the parameters required by the service.
xxxxxxxxxx
 response = add_turtle(2.0, 2.0, 0.0, "turtle2") 

The corresponding parameters are x, y, theta, name.

Customize topic messages and use
Server

COMPANY

  • About us
  • Team Style
  • Blog

LEARNING & EXPLORATION

  • Tutorials
  • Edge AI hardware
  • Educational robots
  • Embedded intelligent hardware

WHERE TO BUY

  • Yahboom Online Store
  • Amazon
  • Alibaba
  • AliExpress
  • Mercado

TECHNOLOGY SUPPORT

  • Email: support@yahboom.com

BE A DISTRIBUTOR

  • Email: sales@yahboom.com
QR Code

Copyright © 2017-2026 Yahboom. All Rights Reserved.

EN/中文