yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
Muto S2 Robot📖
1.Introduction to Muto Robot
  • 1.Introduction to Muto Robot
  • 2.Accessories introduction
  • 3.Precautions for battery
  • 4.FAQ
2.Assembly and write system
  • 1.Raspberry Pi write system
  • 2.Jetson Nano write sytem
  • 3. Robot assembly tutorial
  • 4. Installation Video Part1-Part5
  • 4. Installation Video Part6-Part10
3.Remote control course
  • 1.Close APP control process
  • 2.Mobile APP remote control tutorial
  • 3.USB wireless handle remote control
4.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
5.JupyterLab course
  • 1.ReadMe before operate
  • 2.Environment setup
  • 3.Basic usage tutorial
  • 4.Widgets configuration
  • 5.Widgets controls use
6.Jetson NANO course
  • 1.About JetsonNano system
  • 2.Network configuration and Jtop
  • 3.swap space increased
  • 4.API usage of GPIO library
  • 5.Hardware library configuration
  • 6.Pin reading function
  • 7.Pin level output control
  • 8.Control LED
  • 9.Jetson Nano communicates with external device serial ports
  • 10.jetson nano I2C communication
7.Raspberry Pi course
  • 1.Python usage
  • 2.Use APT to install Python packages
  • 3.Python virtual environment
  • 4.GPIO Zero
  • 5.Pin output high and low levels
  • 6.Pin reads high and low levels
  • 7.Pin output PWM
  • 8.Serial communication
  • 9.I2C communication
8.Robot basic course
  • 1.Control buzzer
  • 2.Control PWM servo
  • 3.Control bus servo
  • 4.Robot forward and backward
  • 5.Robot move left and right
  • 6.Robot rotate left and right
  • 7.Control height
  • 8.Control head
  • 9.Action group performance
  • 10.Read data
  • 11.Host computer control
  • 12.Camera driver
9.Open Source CV course
  • 1.Introduction to Open Source CV
  • 2.Image reading and display
  • 3.Picture writing
  • 4.Image Quality
  • 5.Pixel operations
  • 6.Image zoom
  • 7.Picture cut
  • 8.Picture pan
  • 9.Picture mirroring
  • 10.Affine transformation
  • 11.Picture rotation
  • 12.perspective transformation
  • 13.Grayscale processing
  • 14.Binary image
  • 15.Edge green detection
  • 16.Line segment drawing
  • 17.Rectangular circle drawing
  • 18.Text and picture drawing
7.AI vision course
  • 0.Color HSV value calibration
  • 1.Color recognition
  • 2.Color tracking
  • 3.Color following
  • 4.Color recognition action group
  • 5.Face detection
  • 6.Face tracking
  • 7.Greet people
  • 8.QR code recognition
  • 9.QR code instructions
  • 10.visual line following
  • 11.Motion learning
  • 12.Teach pendant synchronized action
8.Machine deep learning
  • 1.KNN
  • 2.TensorFlow basic tutorial
  • 3.Basic use of PyTorch
  • 4.Yolov5 detects objects in real time
  • 5.Jetson-inference environment construction(selective viewing)
  • 6.Object detection and action
  • 7.Body movement control robot
  • 8.Gesture controlled robot
Remote login control
  • 1. VNC and SSH remote login
  • 2. Jupyter lab login and case code running
9.FAQnew
  • Using your own Jetson board, Muto S2 cannot start normally
Download
  • APP(iOS/Android)
  • SystemFile_For_RPi5
  • System_for_RPi4
  • System_for_JetsonNANO
  • Hardware and protocol
  • Instruction manual
  • Jetson_Boot_USB.tar.gz
Download ZIP

Welcome to Muto S2 Robot repository

3.Python virtual environment

Python virtual environment

Python virtual environmentPython virtual environmentCreate a virtual environmentActivate virtual environmentInstall the third line packageExit the virtual environmentThonny EditorChange the virtual environment Python version

In previous versions of the operating system, the program could be installed using Python's pip tool:

$ pip install buildhat

But in newer versions of Raspberry Pi OS systems, this is not allowed; if you try to install a Python package system-wide, you will receive an error similar to the following:

image-20231220112553812

xxxxxxxxxx
We used another method to eliminate this warning when building the jupyter lab environment, but here we only introduce how to build a python virtual environment.

Python virtual environment

To use a virtual environment, you need to create a container to store the environment.

Create a virtual environment

Create and enter the Demo_Project folder, then use Python's built-in module venv to create a virtual environment named env:

xxxxxxxxxx
mkdir Demo_Project
cd Demo_Project
python -m venv env

image-20231220114517942

After the operation is successful, there will be an additional env folder under the folder.

Activate virtual environment

In this directory is a complete Python distribution; activate the virtual environment and make this Python version the currently used version:

xxxxxxxxxx
source env/bin/activate

image-20231220114944363

At this point, we are no longer using the system Python, but the version of Python included in the virtual environment:

  • Any changes made here will not cause problems for your system Python;

  • Any new modules installed into the environment will also not affect system Python.

Install the third line package

xxxxxxxxxx
pip install jupyterlab

image-20231220115535631

View the modules installed by the current Python version:

xxxxxxxxxx
pip list

image-20231220120436085

Exit the virtual environment

xxxxxxxxxx
deactivate

image-20231220120642348

Thonny Editor

When using Python on the Raspberry Pi, Thonny is the system default editor and the interpreter uses the system Python.

Change the virtual environment Python version

image-20231220121752570

Click the interpreter menu in the lower right corner of the Thonny interface to switch to the Python virtual environment: Add according to the virtual environment path

image-20231220121948351

Configuration successful:

image-20231220121952254

Use APT to install Python packages
GPIO Zero

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