Running Demo Codes

This application of image edge detection supports both Python and C++ versions. The detailed steps are as follows:

Step:

  • To run Python application:

    Enter the Python application directory, and run the demo code on VisionFive 2 Debian:

    cd /usr/share/doc/opencv-doc/examples/python/
python3 edge.py 4
  • To run C++ application:

    Perform the following step under the user directory on VisionFive 2 Debian to run the C++ demo:

    example_cpp_videocapture_camera --device=4
Tip:
  • Normally, /dev/video1 represents the camera connected to MIPI CSI, and /dev/video4 represents the USB camera.
  • Added --device and number 1 or 4 as an input parameter to specify the number of the video device capturing a video stream.

Result:

  • HDMI monitor displays the real-time video stream from a webcam;
  • The terminal where the image edge detection demo code is run will print the running frame rate and other information in real-time.
Figure 1. Image Edge Detection Application