[人工智能]2021-09-19 c++和python 调用usb摄像头或本机摄像头，并保存视频

C++部分`#include<opencv2/opencv.hpp>

#include<stdlib.h>
using namespace cv;
void main()
{
	Size videoSize(680, 480);
	VideoCapture cap(CV_CAP_DSHOW + 0);
	cap.open(1); //打开摄像头
	if (!cap.isOpened())//如果视频不能正常打开则返回
		return;
	cvWaitKey(30);
	int fps = cap.get(CV_CAP_PROP_FPS);
	printf("current fps : %d \n", fps);
	VideoWriter wri("D:\\C++project\\oua.mp4", CV_FOURCC('M', 'P', '4', '2'), 25, videoSize, true);
Mat frame;//用于保存每一帧图像

while (cap.isOpened())
{
	cap.read(frame);
	//cap >> frame; //等价于 cap.read(frame);
	if (frame.empty()) //如果某帧为空则退出循环
		break;
	
	if (!wri.isOpened())
	{
		assert("track writer open failed!\n");
	}
	imshow("raw", frame); //显示原始图像 原始分辨率为	640 * 480
	wri.write(frame);
	//wri << frame;
	
	char c = cvWaitKey(30);
	if (c == 27)//Esc 键退出
	{
		break;
	}
}
wri.release();
cap.release();//释放资源
}

python

import numpy as np
import cv2
cap = cv2.VideoCapture(1)
cap.set(4, 720)
fourcc = cv2.VideoWriter_fourcc('M', 'P', '4', '2')
out = cv2.VideoWriter('out1.mp4', fourcc, 25, (640, 480))

while(True):
    ret,frame=cap.read()

    # #灰度化
    # gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    # cv2.imshow('frame',gray)

    #普通图片
    cv2.imshow('frame',frame)
    out.write(frame)
    if cv2.waitKey(1)==ord('1'):
        break
cap.release()
out.release()
cv2.destroyAllWindows()