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.
The reverse connection will burn the camera, please check the connection of the picture carefully before connecting.
Please check
The desktop version has Guvcview
pre-installed, find and open this application in the application list.
The name of the MIPI camera is Juno R2
.
The resolution is set to 1920×1080
and the RGB format is BGR3-BGR3
.
After the setting is successful, you can use the camera normally.
The test needs to be conducted in the framebuffer mode, and switch to the framebuffer mode through the keyboard combination of Ctrl
+Alt
+F1
.
$ 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
$ 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
$ 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
.
In addition to this, you can also test the camera via program.
sudo apt install libopencv-dev python3-opencv
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.
#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; }
$ 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
$ ./mipi /dev/videoX