Welcome to Raspberry Pi 5 repository
00.Quick Start (Must See)
01.Introduction to Raspberry PI 5
- 1. Introduction to Raspberry PI 5
- 2. Raspberry PI system installation and backup
- 3. Powering the Raspberry PI 5
- 4. Startup of Raspberry PI 5
- 5. Installation and introduction of shell and active radiator
- 6. GPIO and 40-pin pins
- 7. Tips for using Raspberry PI 5
- 8. Raspberry PI PCIe connector
- 9. MIPI CSI DSI connector
- 10. UART connector
- 11. Real-time clock
- 12. Power over Ethernet (PoE) connector
02.Introduction to common mirror systems
03.Basic settings of Raspberry Pi
- 1. Update and upgrade operating system
- 2.Introduction to raspi-config tool
- 3.config.txt file description
- 4.Network Configuration
- 5.remote access
- 6.Transfer files remotely
- 7.Set display resolution and rotation
- 8.Set screen to sleep
- 9.Get real-time temperature of Raspberry Pi
- 10.Play audio and video
- 11.Using USB camera
- 12.Using MIPI camera
04.Basic programming course
- 1. C language environment construction
- 2. Print Hello World
- 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
- 1.Jupyter Lab environment construction
- 2.Basic use of Jupyter Lab
- 3.Jupyter Lab plug-in installation
- 4.Basic use of Jupyter Widgets
05.Advanced AI course
- Open Source CV environment setup
- 1. Introduction to Open Source CV
- 2. Read and display Open Source CV images
- 3. Open Source CV image writing
- 4. Open Source CV image quality
- 5.Open Source CV pixel operation
- 1. Image resizing
- 2. Cut the image
- 3. Image translation
- 4. Image mirroring
- 5. Affine transformation
- 6. Rotate the image
- 7. Perspective transformation
- 1、Grey Processing
- 2、image binaryzation
- 3、edge detection
- 4、Line segment drawing
- 5、Rectangle and circle drawing
- 6、Text image drawing
- 1. Human pose estimation
- 2. target detection
- 3.yolov5
- 4. Camera display
- 5. QR code
- 6. face detection
- 7. Color recognition
- 1. YOLOv11 environment construction
- 2. CLI Usage
- 3. Object Detection
- 4. Instance Segmentation
- 5. Pose Estimation
- 6. Image Classification
- 7. Oriented Bounding Boxes Object Detection
- 8. Model conversion
- 9. Dataset Annotation
- 10. Model training_conversion
- 11. Model prediction
06.Mediapipe course
07.Docker Tutorial
08.ROS1 advanced tutorial
- 1.ROS introduction
- 2.ROS installation
- 3.ROS common command tools
- 4.ROS workspace
- 5.ROS function package
- 6.ROS node
- 7.ROS topic publisher
- 8.ROS topic subscribers
- 9.ROS service client
- 10.ROS service server
- 11.ROS action client
- 12.ROS action server
- 13.ROS custom message reception
- 14.ROS-launch file
- 15.ROS-TF transformation
- 16.ROS parameter service
- 17.ROS-rviz use
- 18.ROS-rqt tool usage
- 19.Topic message recording and playback
- 20.urdf model introduction
- 21.gazebo introduction
- 22.ROS distributed communication
- 0.Precautions
- 1.AR vision
- 2.AR QR code
- 3.ROS+Opencv basics
- 4.Face recognition
- 5.harris corner detection
- 6.Target tracking algorithm
- 7.Contour moment
- 8.Polygon outline
- 9.Discrete fourier transform algorithm
- 10.Edge detection algorithm
- 11.Face detection algorithm
- 12.Optical flow detection algorithm
- 13.Contour detection
- 14.General contour detection
- 15.Feature point tracking
- 16.HLS color filtering
- 17.Hough circle detection
- 18.Hough linear detection
- 19.HSV color filtering
- 20.LK optical flow algorithm
- 21.detection algorithm
- 22.Phase dependent displacement detection
- 23.Image pyramid sampling algorithm
- 24.RGB color filtering
- 25.Clear background detection algorithm
- 26.Simplified optical flow algorithm
- 27.Simple filter
- 28.Threshold image processing
- 29.Watershed segmentation algorithm
09.ROS2 advanced tutorial
- 1. Introduction to ROS2
- 2.ROS2 install Humble
- 3.ROS2 development environment
- 4.ROS2 workspace
- 5.ROS2 function package
- 6.ROS2 node
- 7.ROS2 topic communication
- 8.ROS2 service communication
- 9.ROS2 action communication
- 10.ROS2 custom interface message
- 11.ROS2 parameter service case
- 12.ROS2 meta-function package
- 13.ROS2 distributed communication
- 14.ROS2 DDS
- 15.ROS2 time related API
- 16.ROS2 common command tools
- 17.ROS2 rviz2 use
- 18.ROS2 rqt toolbox
- 19.ROS2 Launch startup file configuration
- 20.ROS2 recording and playback tool
- 21.ROS2 URDF model
- 22.ROS2 Gazebo simulation platform
- 23.ROS2 TF2 coordinate transformation
- 0.Precautions
- 1.Opencv basic course
- 2.ROS+opencv application
- 3.QR code creation and recognition
- 4.AR vision
- 5.Interesting gameplay of mediapipe
10.Offline AI model course
- 0. AI large model image description
- 1. Deployment of large AI model environments
- 2. Switch Chinese input method
- 3. Installation of large model dialogue platform
- 4. Meta AI Llama 3.2 model
- 5. Alibaba Cloud Qwen3 Model
- 6. Microsoft Phi-4-mini model
- 7. DeepSeek DeepSeek-R1 model
- 8. Alibaba Cloud Qwen2.5vl Visual Multimodal Large Model
- 9. Google Gemma3 Visual Multimodal Large Model
- 10. Llava Visual Multimodal Large Model
- 11.MiniCPM-V Visual Multimodal Large Model
- 12. Multimodal Visual Understanding Applications
- 13. Multimodal Text-Based Image Application
- 14. Multimodal Video Analysis Application
- 15. Multimodal visual positioning applications
- 16. Multimodal table scanning application
- 17. Multimodal Autonomous Agent Application
- 0. Voice Interaction Hardware Connection (Must Read)
- 1. Offline speech-to-text (ASR)
- 2. Offline Text-to-Speech (TTS)
- 3. AI large model voice interaction
- 4. Multimodal visual understanding and voice interaction
- 5. Multimodal Text-Based Image Application
- 6. Multimodal Video Analysis Application
- 7. Multimodal visual positioning applications
- 8. Multimodal table scanning application
- 9. Multimodal Autonomous Agent Applications
- 10. AI large model offline voice assistant
11.Online AI model course
- 1.OpenRouter Large Model API Aggregation Platform
- 2. Multimodal Visual Understanding Applications
- 3. Multimodal visual positioning applications
- 4. Multimodal table scanning application
- 5. Multimodal Autonomous Agent Applications
- 0. Voice Interaction Hardware Connection (Must Read)
- 1. Online speech-to-text (ASR)
- 2. Online Text-to-Speech (TTS)
- 3. AI large model voice interaction
- 4. Multimodal visual and voice interaction
- 5. Multimodal visual positioning applications
- 6. Multimodal table scanning application
- 7. Multimodal Autonomous Agent Applications
- 8. AI large model online voice assistant
