提示:本文中视频拼接指的是将多张图像按空间合并在一张图像上,而不是将多张图像按时间顺序拼接成一个多帧片段。
C++版拼接视频不如Python版简洁。
Python版:Python OpenCV【视频合并:多个图像拼接在一张图像】_IT.Husky的博客-CSDN博客
为了实现C++版拼接视频,首先复习一下OpenCV相关知识。
一、OpenCV知识点
1.OpenCV裁剪矩形区域赋值
-
Mat img;
//读取图像
-
-
cv::Rect rect(x, y, WIDTH, HEIGHT);
//定义坐标(x,y)为矩形的左上角起点,宽高为WIDTH和HEIGHT的矩形
-
-
Mat tmp =
img(rect);
//将img上矩形框住的部分赋给tmp
2.OpenCV将Mat粘贴到指定位置
-
cv::Mat src;
//读取图像
-
-
cv::Mat image;
//定义一个存放图像的Mat
-
-
cv::Rect rect(0, 0, src.cols, src.rows);
//定义坐标(0,0)为矩形的左上角起点,宽高为src.cols, src.rows的矩形
-
-
src.
copyTo(
image(rect));
//把src的内容复制到image指定的Rect框中
二、程序样例
1.程序源码
代码如下(带注释):
-
#include <iostream>
-
#include <opencv.hpp>
-
using
namespace std;
-
-
int main()
-
{
-
//读视频
-
cv::VideoCapture videoLeftUp("kll.mp4");
-
cv::VideoCapture videoRightUp("kll.mp4");
-
cv::VideoCapture videoLeftDown("kll.mp4");
-
cv::VideoCapture videoRightDown("kll.mp4");
-
int fps = videoLeftUp.
get(
5);
-
cv::Size size = cv::
Size(videoLeftUp.
get(
3), videoLeftUp.
get(
4));
-
//写视频
-
cv::VideoWriter writer("kllHeBing.mp4", CV_FOURCC('m', 'p', '4', 'v'), fps, size, true);
-
cv::Mat frameLeftUp, frameRightUp, frameLeftDown, frameRightDown;
-
//读视频帧
-
while (videoLeftUp.
read(frameLeftUp) && videoRightUp.
read(frameRightUp) &&
-
videoLeftDown.
read(frameLeftDown) && videoRightDown.
read(frameRightDown))
-
{
-
//调整帧尺寸
-
cv::Mat frameLeftUpNew, frameRightUpNew, frameLeftDownNew, frameRightDownNew;
-
resize(frameLeftUp, frameLeftUpNew, cv::
Size(frameLeftUp.cols /
2, frameLeftUp.rows /
2));
-
resize(frameRightUp, frameRightUpNew, cv::
Size(frameRightUp.cols /
2, frameRightUp.rows /
2));
-
resize(frameLeftDown, frameLeftDownNew, cv::
Size(frameLeftDown.cols /
2, frameLeftDown.rows /
2));
-
resize(frameRightDown, frameRightDownNew, cv::
Size(frameRightDown.cols /
2, frameRightDown.rows /
2));
-
//新建Mat 用于图像合并
-
cv::Mat frameOut = cv::Mat::
zeros(frameLeftUp.rows, frameLeftUp.cols, frameLeftUp.
type());
-
//定义图像放的位置
-
cv::Rect rectLeftUp =
cvRect(
0,
0, frameLeftUpNew.cols, frameLeftUpNew.rows);
-
cv::Rect rectRightUp =
cvRect(frameRightUpNew.cols,
0, frameRightUpNew.cols, frameRightUpNew.rows);
-
cv::Rect rectLeftDown =
cvRect(
0, frameLeftDownNew.rows, frameLeftDownNew.cols, frameLeftDown.rows);
-
cv::Rect rectRightDown =
cvRect(frameRightDownNew.cols, frameRightDownNew.rows, frameRightDownNew.cols, frameRightDownNew.rows);
-
//将调整尺寸的帧图像放置新建Mat的指定位置
-
frameLeftUpNew.
copyTo(
frameOut(rectLeftUp));
-
frameRightUpNew.
copyTo(
frameOut(rectRightUp));
-
frameLeftDownNew.
copyTo(
frameOut(rectLeftDown));
-
frameRightDownNew.
copyTo(
frameOut(rectRightDown));
-
/*cv::imshow("frameOut.jpg", frameOut);
-
cv::waitKey(0);*/
-
//写入帧图像
-
writer.
write(frameOut);
-
}
-
//释放内存
-
writer.
release();
-
videoLeftUp.
release();
-
videoRightUp.
release();
-
videoLeftDown.
release();
-
videoRightDown.
release();
-
-
system(
"pause");
-
return
0;
-
}
2.运行结果
源视频图像首帧:
拼接视频图像首帧:
留作业:请尝试以下合并结果↓
转载:https://blog.csdn.net/Gary_ghw/article/details/128144070
查看评论