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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

12.Camera driver

12.Camera driver

12.Camera driver1.Experimental goals2.Experiment preparation3.Experiment procedure4.Experiment summary

1.Experimental goals

This course mainly uses the motherboard's camera to obtain the camera's picture and display it on the JupyterLab control.

 

2.Experiment preparation

Check the device number of the USB camera, as shown in the figure below, get the device number /dev/video0

ls /dev/video*

image-20230811140541247

 

3.Experiment procedure

Open the jupyterLab client and find the code path:

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muto/Samples/Control/12.camera.ipynb

Import the opencv library and jupyter lab display control.

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import cv2
import ipywidgets.widgets as widgets

Open the camera. The default configuration device is /dev/video0, the display resolution is 640*480, and the frame rate is 30 frames. If the device number of the camera in the system is not /dev/video0, please modify the configuration information according to the actual device number.

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image_widget = widgets.Image(format='jpeg', width=640, height=480)
image = cv2.VideoCapture(0)
image.set(3, 640)
image.set(4, 480)
image.set(5, 30)

Read a frame of image from the camera, ret=True if the reading is successful, ret=False if the reading fails, frame represents the currently read image, calculate the FPS, and display the image on the control.

​x
while g_camera.isOpened():
        ret, frame = g_camera.read()
        if not ret:
            print("Camera Read Fail")
            break

        m_fps = m_fps + 1
        fps = m_fps / (time.time() - t_start)
        if (time.time() - t_start) >= 2:
            m_fps = fps
            t_start = time.time() - 1

        text="FPS:" + str(int(fps))
        cv2.putText(frame, text, (10, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 255), 1)
        image_widget.value = bgr8_to_jpeg(frame)

image-20230602121601857

If you do not need to use it, please release the camera to avoid errors caused by other routines accessing the camera at the same time. Select the cell displaying the camera and click the stop button to automatically stop and call the camera release program.

image-20230811140715488

xxxxxxxxxx
g_camera.release()

 

4.Experiment summary

This time, the JupyterLab control is used to display the camera screen. If the default device /dev/video0 device number cannot be driven, please check the device number of the current system, or replug and unplug the camera wiring.

Host computer control
Introduction to Open Source CV

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