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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

5.Picture to text

Picture to Text

Picture to TextFunction IntroductionFunction ExperienceProgram source codeHow to run this case in the terminalFunctional principle

Function Introduction

This case is about how to start the big program. You need to complete the configuration of the API-KEY related to the big model before you can use it normally. This function is to describe the on-site picture. The model platform used in the English version is: OpenRouter calls the free interface of meta This function needs to be connected to the Internet to work properly

Function Experience

  1. Turn on the robot dog first, press the button on the upper right of the "dog head" to enter the sample mode, and then select the function of image to text.

image-20250523164701585

  1. After entering the function of image to text, wake up by voice first, "lulu".

image-2025042700002

  1. When you hear a ding, you can say the question you want to ask.

image-2025042700003

image-2025042700004

  1. The robot dog will record a picture of the scene based on the question and then answer.

image-2025042700005

Program source code

  1. First, log in to the robot dog system through VNC
  2. Then enter the terminal
x
#cm4 run
cd /home/pi/RaspberryPi-CM4-main/demos/pic_comprehension/
tree -L 1
​
#cm5 run
cd /home/pi/RaspberryPi-CM5/demos/pic_comprehension/
tree -L 1
  1. Directory structure description ├── anspeech_imageswer.mp3 #Reply audio ├── audio.py #Recording file ├── auto_platform.py #Recording file dependency environment ├── language_recognize.py #Speech recognition ├── libnyumaya.py #Speech wake-up ├── rec.jpg #Record the picture of the scene ├── sp_AI_Image.py #Main program file ├── xinghou_ImageAPI.py #Graphics file interface └── xinghou_tts.py #Speech synthesis file interface
  2. If you want to replace the model interface you want
  • You can first use the python version of the platform corresponding to the interface program, and fill in the necessary information according to the platform interface and instructions.
  • Then encapsulate the executable file into a function. You can refer to the method of "sp_AI_Image.py" and put it in the path /home/pi/RaspberryPi-CM4-main/demos/pic_comprehension. For example, the added file name is "mychatgpt.py"
  • Open the file sp_AI_Image.py, and replace from xinghou_ImageAPI import * with the newly added from mychatgpt import * in the header
  • Then find this place and replace it with the API function interface you encapsulated. image-2025042700006
  • Then restart the car and enter this function again, you can run the model platform you replaced. If it cannot run, it means there is an error. You need to check the syntax and logic of the newly added file yourself.

How to run this case in the terminal

  1. End the big program first to prevent the screen from being distorted. For how to end it, please go to the tutorial of ending the big program in Chapter 1. I will not describe it here.
  2. Enter the following command in the terminal
xxxxxxxxxx
#cm4 run
cd /home/pi/RaspberryPi-CM4-main
​
#cm5 run
cd /home/pi/RaspberryPi-CM5
​
sudo python3 demos/pic_comprehension/sp_AI_Image.py
  1. When waiting for keyword appears, wake up the robot dog with "lu lu". After a few seconds, a scrolling prompt "current volume, boot threshold, end threshold" will appear. You can then input voice to the robot dog.

df322716b827982a507f3e1180bad84a

7c43a3f3def605231eb74c79bcd62cb1

Functional principle

The specific flow chart is as follows:

image-2025042700007

Smart dog
Intelligent interaction

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