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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

4.Publisher

4 Publisher

4 Publisher 4.1 Publisher 4.2 Create workspace and topic package 4.2.1 Create a workspace 4.2.2 Compilation workspace 4.2.3 Update environment variables 4.2.4 Check environment variables 4.2.5 Create function package 4.2.6 Compile function package 4.3 create a publisher 4.3.1 Creation steps 4.3.2 C++ language implementation 4.3.3 Python language implementation

4.1 Publisher

Publisher, as the name suggests, plays the role of publishing news. The message here can be the sensor information transmitted by the lower computer to the upper computer, and then packaged and packaged by the upper computer and sent to the subscribers who have subscribed to the topic; it can also be the data of the upper computer after the operation is packaged and packaged and sent to the Subscribers to this topic.

4.2 Create workspace and topic package

4.2.1 Create a workspace

mkdir -p ~/catkin_ws/src 
cd ~/catkin_ws/src 
catkin_init_workspace 

4.2.2 Compilation workspace

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cd ~/catkin_ws/ 
catkin_make 

4.2.3 Update environment variables

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source devel/setup.bash 

4.2.4 Check environment variables

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echo $ROS_PACKAGE_PATH 

4.2.5 Create function package

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cd ~/catkin_ws/src 
catkin_create_pkg learning_topic std_msgs rospy roscpp geometry_msgs turtlesim 
#Explanation: learning_topic is the name of the function package 

4.2.6 Compile function package

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cd ~/catkin_ws 
catkin_make 
source ~/catkin_ws/devel/setup.bash 

4.3 create a publisher

4.3.1 Creation steps

  1. initialize the ROS node
  2. create a handle
  3. Register node information with ROS Master, including the topic name published, the message type in the topic, and the queue length
  4. create and initialize message data
  5. Send messages cyclically according to a certain frequency

4.3.2 C++ language implementation

  1. In the src folder of the function package, create a c++ file(the file suffix is .cpp) and name it turtle_velocity_publisher.cpp
  2. copy and paste the program code below into the turtle_velocity_publisher.cpp file
​x
/* Create a speed publisher for a baby turtle */ 
#include <ros/ros.h> 
#include <geometry_msgs/Twist.h> 
int  main(int argc, char  ** argv){ 
    
    ros::init(argc, argv, "turtle_velocity_publisher"); //ROS node initialization 
    
    ros::NodeHandle  n; //here is to create handle 

    //Create a Publisher, publish a topic named /turtle1/cmd_vel, the message type is geometry_msgs::Twist, and the queue length is 10 
    ros::Publisher  turtle_vel_pub  =  n.advertise < geometry_msgs::Twist >("/turtle1/cmd_vel", 10); 
    
    ros::Rate  loop_rate(10); //Set the frequency of the loop 

    while (ros::ok()){ 
            //Initialize the message to be published, the type must be consistent with Publisher 
        geometry_msgs::Twist  turtle_vel_msg; 
        turtle_vel_msg.linear.x  =  0.8; 
        turtle_vel_msg.angular.z  =  0.6; 
        
        turtle_vel_pub.publish(turtle_vel_msg); // publish velocity message 

        //Print the published speed content 
        ROS_INFO("Publsh turtle velocity command[%0.2f m/s, %0.2f rad/s]", turtle_vel_msg.linear.x, turtle_vel_msg.angular.z); 
        
        loop_rate.sleep(); //Delay according to the loop frequency 
    } 
    return  0; 
} 
  1. the program flow chart, which can be viewed corresponding to the content of 1.3.1

pub_c++

  1. configure in CMakelist.txt, under the build area, add the following content
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add_executable(turtle_velocity_publisher src/turtle_velocity_publisher.cpp) 
target_link_libraries(turtle_velocity_publisher ${catkin_LIBRARIES}) 
  1. Compile the code in the workspace directory
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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
  • run roscore

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    roscore 
  • Run the turtle node

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    rosrun turtlesim turtlesim_node 
  • Run the publisher to continuously send the speed to the little turtle

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    rosrun learning_topic turtle_velocity_publisher 
  1. Screenshot of running effect

image-20220216112046184

  1. program operation instructions
  • Enter rostopic list in the terminal to view the topic list and you will find the topic /turtle1/cmd_vel
  • We use rostopic info /turtle1/cmd_vel to find out
  • image-20220216112901207

This shows that the little turtle is a subscription to the speed topic /turtle1/cmd_vel. Therefore, the publisher keeps sending speed data. After the little turtle receives it, it starts to move according to the speed.

4.3.3 Python language implementation

  1. In the function package directory, create a new folder scripts, and then create a new python file(file suffix .py) in the scripts folder, named turtle_velocity_publisher.py
  2. copy and paste the program code below into the turtle_velocity_publisher.py file
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#!/usr/bin/env python 
# -*- coding: utf-8 -*- 
# This routine will publish turtle1/cmd_vel topic, message type geometry_msgs::Twist 

import  rospy 
from  geometry_msgs.msg import Twist 

def turtle_velocity_publisher(): 
    
    rospy.init_node('turtle_velocity_publisher', anonymous = True) # ROS node initialization 

    # Create a small turtle speed publisher, publish a topic named /turtle1/cmd_vel, the message type is geometry_msgs::Twist, and 8 represents the message queue length 
    turtle_vel_pub  =  rospy.Publisher('/turtle1/cmd_vel', Twist, queue_size = 8) 

    
    rate = rospy.Rate(10) # set the frequency of the loop 

    while  not  rospy.is_shutdown(): 
        # Initialize a message of type geometry_msgs::Twist 
        turtle_vel_msg  =  Twist() 
        turtle_vel_msg.linear.x  =  0.8 
        turtle_vel_msg.angular.z  =  0.6 

        # make an announcement 
        turtle_vel_pub.publish(turtle_vel_msg) 
        rospy.loginfo("linear is :%0.2f m/s, angular is :%0.2f rad/s", 
                turtle_vel_msg.linear.x, turtle_vel_msg.angular.z) 

        
        rate.sleep() # Delay according to the loop frequency 

if  __name__  ==  '__main__' : 
    try : 
        turtle_velocity_publisher() 
    except  rospy.ROSInterruptException : 
        pass 
  1. program flow chart

pub_py2

  1. run the program
  • run roscore

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    roscore 
  • Run the turtle node

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    rosrun turtlesim turtlesim_node 
  • Run the publisher to continuously send the speed to the little turtle

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    rosrun learning_topic turtle_velocity_publisher.py 

Note: Before running, you need to add executable permissions to turtle_velocity_publisher.py, open the terminal in the turtle_velocity_publisher.py folder,

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sudo chmod a+x turtle_velocity_publisher.py 

All pythons need to add execute file permissions, otherwise an error will be reported!

  1. Refer to 1.3.2 for operation effect and program description.
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