• 1. Main interface function experience
• 2. APP control experience
• 3. Web page image transmission control
• 4. LLM-Embodied Intelligence Capabilities
• 5. LLM-Smart Dog Capabilities

• 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

• 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

• 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

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

• 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

• 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

• 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