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IMX 415 Camera Module📖
1. Jetson Orin Nano‑NX Usage Course
  • 1. Camera Driver Course
  • 2.1 Advanced AI Vision-Traffic Detection—DeepStream environment
  • 2.2 Advanced AI Vision-Traffic Detection—Four types of detection(traffic)
  • 3. YOLO11 Object Detection
  • 4. YOLO26 Object Detection
  • 5. Mediapipe Environment
  • 6. Mediapipe Hand Detection
  • 7. MediaPipe Face Detection
  • 8. MediaPipe Face Effects
  • 9. MediaPipe 3D Object Recognition
  • 10. MediaPipe Virtual Brush
  • 11. MediaPipe Gesture Recognition
  • 12. MediaPipe Finger Control
  • 13. MediaPipe Posture Estimation
  • 14. MediaPipe Face Mask
  • 15. MediaPipe Overall Detection
  • 16. MediaPipe Green Scene Rremoval(Human)
  • 17. QR code recognition
2. Raspberry Pi 5 Usage Course
  • 1. Camera Driver Course
  • 2. Advanced AI Vision-Human Pose Estimation
  • 3. Target Detection
  • 4. QR Code
  • 5. Face Detection
  • 6. Color Recognition
  • 7. YOLO11 Object Detection
  • 8. YOLO26 Object Detection
  • 9. MediaPipe Face Effects
  • 10. MediaPipe Face Detection
  • 11. MediaPipe 3D Object Recognition
  • 12. MediaPipe Virtual Brush
  • 13. MediaPipe Finger Control
  • 14. MediaPipe Gesture Recognition
3. RDK X5 Usage Course
  • 1. Camera Driver Course
  • 2. Target Detection Algorithm-FCOS
  • 3. Target Detection Algorithm-YOLOv5s
  • 4. YOLO26 Object Detection
4. Camera Bracket Installation (Optional Video)
  • Installation Video
Download
  • Code
  • SystemFile
  • 3D_Model_File
  • Hardware_Info
Download ZIP

Welcome to IMX 415 Camera Module repository

5. Mediapipe Environment

Mediapipe Environment Setup

Mediapipe Environment Setup1. Install Mediapipe2. Verify Mediapipe

Mediapipe is a cross-platform framework provided by Google for building multimodal (e.g., image, audio, video, etc.) processing pipelines.

1. Install Mediapipe

Use the pip command to install mediapipe:

sudo pip3 install mediapipe

Use the pip command to install OpenCV:

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sudo pip3 install opencv-python

Use the pip command to install dlib: some example cases require this library

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sudo pip3 install dlib

image-20250111105815768

2. Verify Mediapipe

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python3 -c "import mediapipe as mp; print(f'Mediapipe version: {mp.__version__}')"

image-20250111105832910

YOLO26 Object Detection
Mediapipe Hand Detection

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