Opencv3.4.0实现视频中的帧保存为图片功能
时间：2021-06-10 08:22:26 | 栏目：C代码 | 点击：次
现在有一个收集人脸的需求，每一张照片只有一个人。我的解决办法是用收集录制一段视频，然后上传到PC上。在PC上使用OpenCV将图片中的每一帧保存为JPG图片。
以下是代码：
import time
import cv2
if __name__ == '__main__':
# 填写视频的绝对路径
vidcap = cv2.VideoCapture('/home/shushi/video/猎场.mp4')
success, image = vidcap.read()
start_time = time.time()
print(start_time)
while success:
end_time = time.time()
file_name = str(end_time).replace('.', '')
# 每隔三秒截屏
if 3 == int(end_time - start_time):
start_time = end_time
# 保存JGP 的绝对路径
cv2.imwrite('/home/shushi/video/' + file_name + ".jpg", image) # save frame as JPEG file
success, image = vidcap.read()
if cv2.waitKey(10) == 27: # exit if Escape is hit
break
将视频放到与Python文件同级目录下，然后运行程序，你就会得到视频帧对应的JPG图片了：
小编再为大家分享一段代码：OpenCV按视频帧进行截取，作者是Haku_yyf
#include <opencv2/highgui/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
#include <iostream>
int main(int argc, char **argv)
{
//打开视频文件
cv::VideoCapture cap("E:\\New folder\\DSC_3543.MOV");
if (!cap.isOpened())
{
std::cout << "不能打开视频文件" << std::endl;
return -1;
}
//从3000ms开始播放视频
//cap.set(CV_CAP_PROP_POS_MSEC, 3000);
//获取视频的帧速率
double fps = cap.get(cv::CAP_PROP_FPS);
double width = cap.get(cv::CAP_PROP_FRAME_WIDTH);
double height = cap.get(cv::CAP_PROP_FRAME_HEIGHT);
//std::cout << fps << std::endl;
//std::cout << width << std::endl;
//std::cout << height << std::endl;
cv::VideoWriter wrt("C:\\Users\\Administrator\\Desktop\\1.avi", CV_FOURCC('M', 'J', 'P', 'G'), fps, cv::Size(width, height));
int cout = 0;
while (true)
{
cv::Mat frame;
//从视频中读取一个帧
bool bSuccess = cap.read(frame);
++cout;
if (!bSuccess)
{
std::cout << "不能从视频文件读取帧" << std::endl;
break;
}
//在MyVideo窗口上显示当前帧
if (cout>=fps*1 && cout<=fps*56)//取视频1-56秒内容
{
std::cout << "正在截取..."<<(int)(((cout-fps)/(fps*(56-1)))*100)<<"%" << std::endl;
wrt << frame;
}
if (cout>fps*57)
{
std::cout << "ENd!!!" << std::endl;
break;
}
}
system("pause");
return 0;
}