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DOGZILLA-Lite📖
1. Get started quickly
  • 0. Notes (Must Read)new
  • 1. Main interface function experience (cm5)new
  • 1. Main interface function experience(cm4)
  • 2. APP control experience
  • 3. Web page image transmission control
  • 4. LLM-Embodied Intelligence Capabilities
  • 5. LLM-Smart Dog Capabilities
2. Basic operations of Raspberry Pi system
  • 1.SSH remote login
  • 2.VNC remote login desktop
  • 3.Remote file transfer
  • 4.JupyterLab environment construction and use
  • 5.Burn the system image
  • 6.Connect to WiFi
  • 7.Close large programs
  • 8.Raspberry Pi system expansion
3. Basic control of the dogzilla
  • 0. Introduction to DOGZILLA-Lite
  • 1. Screen display control
  • 2. Record Audio
  • 3. Play Audio
  • 4. Text to audio
  • 5. Voice to text
  • 6. Record Video
  • 7. Play Video
  • 8. Video recording function
  • 9. Read the posture angle
  • 10. Battery level reading
  • 11. Read the servo angle
  • 12. Screen display of expressions
  • 13. Calibration of the robot dog
  • 14. Burn the firmware
  • 15. Analysis of common problems
4. Motion control of the dogzilla
  • 1. The dog's forward, backward, left, and right movements and gait
  • 2. Dog Spin
  • 3. The dog adjusts its height and posture
  • 4. Dog periodic translation and rotation
  • 5. Self-balancing mode
  • 6. The dog performs preset actions
  • 7. Single Leg Control
  • 8. Robotic arm control
  • 9. Teaching mode
  • 10. Group Control Performance
  • 11. Teaching demonstration onlinenew
5. Open Source CV
A. Getting started with OpenCV
  • 1. Introduction to OpenCV
  • 2. OpenCV image reading and display
  • 3. OpenCV image writing
  • 4. OpenCV Image Quality
  • 5.OpenCV pixel operations
B. OpenCV geometric transformation
  • 1. Image scaling
  • 2. Image cutting
  • 3. Image translation
  • 4. Image mirroring
  • 5. Affine Transformation
  • 6. Image Rotation
  • 7. Perspective Transformation
C. OpenCV image processing and drawing text segments
  • 1. Grayscale processing
  • 2. Image Binarization
  • 3. Edge Detection
  • 4. Line drawing
  • 5. Rectangle and circle drawing
  • 6. Text and picture drawing
D. Image beautification
  • 1. Color Image Histogram
  • 2. Histogram Equalization
  • 3. Image repair
  • 4. Brightness enhancement
  • 5. Skin whitening
  • 6. Gaussian mean filtering
  • 7. Median Filter
6. AI recognition of the dogzilla
  • 1. Camera driver tutorial
  • 2. Color recognition
  • 3. HSV value test
  • 4. Object Recognition
  • 5. QR code recognition
  • 6. License Plate Recognition
  • 7. Human Pose Estimation
  • 8. Yolo detection
  • 9. Face Detection
  • 10. Human face mask
  • 11. Face effects
  • 12. 3D Object Recognition
  • 13. Paintbrush
  • 14. Finger recognition
  • 15. Gesture Recognition
  • 16. Age and gender identification
  • 17. Background Segmentation
  • 18. Facial Recognitionnew
  • 19. Emotion Recognitionnew
  • 20. Motion Detectionnew
7. Dogzilla AI Interaction
  • 1. Color patrol
  • 2. Line patrol and obstacle removal
  • 3. Color tracking
  • 4. Ball tracking
  • 5. The ball follows
  • 6. QR code recognition exercise
  • 7. Face tracking
  • 8. Remote control
  • 9. Gesture tracking
  • 10. Gesture-controlled movement
  • 11. You Drop, I Pick
  • 12. Independent football exercise
  • 13. Human Body Followingnew
8. AI large model interaction
  • 0.AI large model principle foundation
  • 1.Large model premise use configuration
  • 2.Q&A
  • 3.Embodied intelligence
  • 4.Smart dog
  • 5.Picture to text
  • 6.Intelligent interaction
  • 7.Voice intelligent vision
  • 8.Playing football
  • 9.Block gripping
  • 10.Line tracking and obstacle removal
  • 11.Control object tracking
Download
  • System_File
  • Code
  • Firmware
  • Communication interface
  • Instruction Manual
  • Appendix
Download ZIP

Welcome to DOGZILLA-Lite repository

12. Screen display of expressions

Screen display emoticons

1. Purpose of the experiment

Learn how to display expressions on your dog's screen

2. Experimental path source code

Enter the dog's system, end the dog program, enter "ip (ip is the dog's ip): 8888" in the browser, and enter the password "yahboom" after entering

image-2024112100001

Then log in and go to cd ~/DOGZILLA_Lite_class/2.Base Control/11.show expression and run show_expression.ipynb .

3. Experimental Phenomenon

After running the code, you can find that the dog's screen has turned into an animated expression.

image-2024112100002

4. Experimental source code analysis and principles

while True:
    #写法1 way1
    XGO_edu.lcd_picture("my1.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my2.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my3.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my4.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my5.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my6.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my7.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my8.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my9.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my10.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my11.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my12.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my13.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my14.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my15.png")
    time.sleep(.2)
    XGO_edu.lcd_picture("my16.png") 
    time.sleep(.2)
    
    
    #写法2 way2
    for i in range(1,9):
        XGO_edu.lcd_picture("cute"+str(i)+".png")
        time.sleep(.2)
  • From the above source code, we can see that the playback of action expressions is actually a carousel of pictures, and the interval between each picture is 200ms.
  • Just put the corresponding emoticon picture into /home/pi/xgoPictures.
  • This system provides a variety of optional expression paths: /home/pi/software/expression. Each folder corresponds to a set of expressions. Note: Because the provided expression pictures are named with numbers, if you want to store multiple expression actions in /home/pi/xgoPictures, there are two methods.
  1. Copy the entire expression folder path to /home/pi/xgoPictures. For example, if the expression folder name is angry_r, the copy command to execute is
xxxxxxxxxx
cp -rf /home/pi/software/expression/angry_r /home/pi/xgoPictures

Then the code is written as follows: for i in range(1, the maximum number of expressions + 1): XGO_edu.lcd_picture("angry_r/"+str(i)+".png") time.sleep(.2)

  1. The source code provided in this tutorial is the second way. First rename the expression group, for example, rename 1.png in the angry_r folder to angry1.png, and then copy it to the /home/pi/xgoPictures folder. The name of the expression folder is: angry_r, then the copy command executed is
xxxxxxxxxx
cp -rf /home/pi/software/expression/angry_r/*.png /home/pi/xgoPictures

The code is written as follows: for i in range(1, the maximum number of expressions + 1): XGO_edu.lcd_picture("angry"+str(i)+".png") time.sleep(.2)

Read the servo angle
Calibration of the robot dog

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