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products:sbc:vim3:configurations:os08a10-mipi-camera

VIM3/3L OS08A10 MIPI Camera

Introduction

This document mainly introduces OS08A10 MIPI Camera. The first part of the document describes how to connect. The second part introduces how to use it under Ubuntu. The third part introduces how to use it under Android.

Hardware Connection

The reverse connection will burn the camera, please check the connection of the picture carefully before connecting.

docs-vim3-camera-os8a10

For 5.15 kernel

Please check VIM3 MIPI Camera Usage.

For 4.9 kernel

Guvcview

The desktop version has Guvcview pre-installed, find and open this application in the application list.

mipi-guvcview-icon

The name of the MIPI camera is Juno R2.

mipi-guvcview-setting

The resolution is set to 1920×1080 and the RGB format is BGR3-BGR3.

mipi-guvcview-seccess

After the setting is successful, you can use the camera normally.

Command Line

Control IR-Cut via V4L2

The test needs to be conducted in the framebuffer mode, and switch to the framebuffer mode through the keyboard combination of Ctrl+Alt+F1.

Disable status
$ v4l2_test  -c 1 -p 0 -F 0 -f 0 -D 0 -R 1 -r 2 -d 2 -N 1000 -n 800 -w 0 -e 1 -I 0 -b /dev/fb0 -v /dev/video0
Enable status
$ v4l2_test  -c 1 -p 0 -F 0 -f 0 -D 0 -R 1 -r 2 -d 2 -N 1000 -n 800 -w 0 -e 1 -I 1 -b /dev/fb0 -v /dev/video0

Record Video via Gstreamer

$ gst-launch-1.0 v4l2src name=vsrc device=/dev/video0 ! video/x-raw,width=1920,height=1080,framerate=60/1,format=RGB ! filesink location=.//test.rgb

The recorded video is saved in test.rgb.

Demo Source Code

In addition to this, you can also test the camera via program.

Install Dependencies

sudo apt install libopencv-dev python3-opencv

Python

mipi-camera.py
import cv2 
 
if __name__ == '__main__':
 
    val = True
 
    cap = cv2.VideoCapture(0)
    cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
 
    fourcc = cv2.VideoWriter_fourcc(*'XVID')
 
    out = cv2.VideoWriter("./test.avi", fourcc, 20.0, (640, 480), True)
 
    while val is True:
        ret, frame = cap.read()
        cv2.cvtColor(frame,cv2.COLOR_RGB2BGR)
        if frame is None:
            break
        else:
            out.write(frame)
            cv2.imshow("video", frame)
            k = cv2.waitKey(1) & 0xFF
            if k == 27: 
                break
 
    cap.release()
    out.release()

Please modify the number of the open camera according to the camera node.

C++

mipi-camera.cpp
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/core/core.hpp>
#include <iostream>
#include <string>
using
namespace  cv;
 
using
namespace  std;
 
int main(int argc, char** argv)
{
    int count=100;
    string str = argv[1];
    string res=str.substr(10);
    VideoCapture capture(stoi(res));
    capture.set(CAP_PROP_FRAME_WIDTH, 1920);
    capture.set(CAP_PROP_FRAME_HEIGHT, 1080);
    while (count)
    {
        Mat frame;
        capture >> frame;
 
        if (frame.empty()) {
            break;
        }
        int h = frame.rows;
        int w = frame.cols;
        const char *name = "video";
        namedWindow(name, 0);
        imshow(name, frame);
        waitKey(30);
        count--;
    }
    return 0;
}
Compile
$ gcc -o mipi mipi.cpp -lopencv_imgproc -lopencv_core -lopencv_videoio -lopencv_imgcodecs -lopencv_highgui -std=c++11 -std=gnu++11 -Wall -std=c++11 -lstdc++ -I/usr/include/opencv4
Run
$ ./mipi /dev/videoX

See Also

2022/07/06 09:59
Last modified: 2024/01/30 21:12 by nick