CanMV K230
CanMV K230
- README
- 1. Quick Start Guide
- 2. Basic Course
- 2.1 FPIOA Experiment
- 2.2 GPIO Experiment
- 2.3 UART Experiment
- 2.4 I2C Experiment
- 2.5 SPI Experiment
- 2.6 PWM Experiment
- 2.7 ADC Experiment
- 2.8 RTC Experiment
- 2.9 WDT Experiment
- 2.10 TIMER Experiment
- 2.11 FFT Experiment
- 2.12 SHA256 Encryption Experiment
- 2.13 AES Encryption Experiment
- 2.14 Multi-threading Experiment
- 2.15 File Read/Write
- 3. Multimedia Course
- 4. OpenMV Course
- 4.1 Single Color Recognition
- 4.2 Multiple Color Recognition
- 4.3 Object Counting
- 4.4 Visual Line Following
- 4.5 QR Code Recognition
- 4.6 Barcode Recognition
- 4.7 Data Matrix Code Recognition
- 4.8 AprilTags Recognition
- 4.9 Line Segment Detection
- 4.10 Rectangle Detection
- 4.11 Circle Detection
- 4.12 Feature Detection
- 4.13 Edge Detection
- 5. AI Vision Course
- 5.1 Face Detection
- 5.2 Facial Landmark Detection
- 5.3 3D Face Mesh
- 5.4 Face Pose Detection
- 5.5 Face Registration
- 5.6 Face Recognition
- 5.7 Human Detection
- 5.8 Human Keypoint Detection
- 5.9 Fall Detection
- 5.10 Hand Recognition
- 5.11 Hand Keypoint Detection
- 5.12 Hand Keypoint Classification
- 5.13 Dynamic Gesture Recognition
- 5.14 Rock-Paper-Scissors
- 5.15 License Plate Detection
- 5.16 License Plate Recognition
- 5.17 Character Detection
- 5.18 Character Recognition
- 5.19 Self-Learning
- 5.20 Object Detection
- 5.21 Object Segmentation
- 5.22 Target Tracking
- 6. Network Basics Course
- 7. Touch Control Course
- 8. Online Model Training
- 9. Local Model Training (YOLOv8)
- Download