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RPi AI Camera📖
01.Preparation before use
  • Preparation before use
02.Environment construction
  • Environment construction
03.rpicam-apps examples
  • rpicam-apps examples
04.PiCamera2 Examples
  • PiCamera2 Examples
05.Mediapipe Course
  • 1. Face effects
  • 2. Face Detection
  • 3. 3D Object Recognition
  • 4. Brush
  • 5. Finger control
  • 6. Gesture Recognition
06.Advanced AI Course
  • 1. Human Pose Estimation
  • 2. Object Detection
  • 3. yolov5
  • 4. QR code
  • 5. Face Detection
  • 6. Color recognition
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  • System_File
  • Code
  • Software Tools
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Welcome to RPi AI Camera repository

PiCamera2 Examples

Picamera2 Example

Picamera2 ExampleReferencesPreliminary preparationDownload the official source codeInstall OpenCV dependenciesPicamera2 exampleObject detectionPose estimationObject segmentationImage classification

Examples of using Picamera2 for image classification, object detection, object segmentation, and pose estimation.

References

Official website of Raspberry Pi AI Camera

https://www.raspberrypi.com/documentation/accessories/ai-camera.html

Preliminary preparation

Download the official source code

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git clone https://github.com/raspberrypi/picamera2.git

If you cannot download, you can find the file in the software data folder.

image-20241214171237483

Install OpenCV dependencies

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sudo apt install python3-opencv python3-munkres

image-20241214170430252

Picamera2 example

All cases require the neural network model to be loaded successfully before the screen is displayed, otherwise the preview screen is a black interface!

  • Enter the example folder

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cd picamera2/examples/imx500/

image-20241214171835096

Object detection

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sudo python imx500_object_detection_demo.py

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Use Ctrl+c shortcut key to close the program in the terminal.

Pose estimation

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sudo python imx500_pose_estimation_higherhrnet_demo.py

image-20241214172759074

Use the Ctrl+c shortcut key in the terminal to close the program.

Object segmentation

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sudo python3 imx500_segmentation_demo.py

image-20241214173211412

Use the Ctrl+c shortcut key in the terminal to close the program.

Image classification

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sudo python imx500_classification_demo.py

image-20241214173530406

Use Ctrl+c shortcut key to close the program in the terminal.

rpicam-apps examples
Face effects

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