在之前的文章中，介紹了如何利用OpenCV在圖片中插入圖形和文字的方法。本篇文章主要介紹了如何opencv為視頻添加動(dòng)態(tài)字幕。

利用opencv編輯視頻的主要原理是通過(guò)將視頻幀解析為opencv 矩陣的格式實(shí)現(xiàn)的激率，通過(guò)計(jì)算幀頻率和幀數(shù)量铁追，可以很容易實(shí)現(xiàn)為視頻添加動(dòng)態(tài)字幕的功能季蚂，其實(shí)現(xiàn)代碼如下：

#include<iostream>
#include<opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>  
#include <opencv2/highgui/highgui.hpp> 
#include"putText.h"
#include<vector>
#include<string>
using namespace cv;

/*
* 
* 每隔30幀寫(xiě)入一個(gè)漢字，“青山依舊在，幾度夕陽(yáng)紅”
*
*/
void processFrame(Mat m,const char* text,Point pp)
{
    if (!m.empty())
    {
        putTextZH(m, text, pp, Scalar(130, 220, 238), 100, "迷你簡(jiǎn)啟體");
    }
    
}
int main()
{
    //加載視頻
    VideoCapture capture;
    Mat frame;
    int count = 0;
    frame = capture.open("test.mp4");
    
    const char *text1[]= {"青","青\n山","青\n山\n依","青\n山\n依\n舊","青\n山\n依\n舊\n在" };
    const char *text2[] = {"幾","幾\n度","幾\n度\n夕","幾\n度\n夕\n陽(yáng)","幾\n度\n夕\n陽(yáng)\n紅" };
    //獲取幀率
    std::cout << "幀率" << capture.get(CAP_PROP_FPS)<<std::endl;
    int fnum = capture.get(CAP_PROP_FRAME_COUNT);
    int currentFrame = capture.get(CAP_PROP_POS_FRAMES);
    std::cout << "當(dāng)前幀：" << currentFrame << std::endl;
    VideoWriter writer;
    writer.open("end2.mp4", writer.fourcc('M', 'P', '4', 'V'), 30.0, Size(1150,750), true);
    
    while (currentFrame<fnum)
    {
        
        Mat m;
        Mat m1, m2;
        capture >> frame;
        if (currentFrame >= 0 && currentFrame <= 30)
        {
            processFrame(frame, text1[0], Point(200, 100));
            frame.copyTo(frame);
            //continue;
            std::cout << "當(dāng)前幀" << currentFrame << std::endl;
        }
            
        else if (currentFrame > 30 && currentFrame <= 60)
        {
            processFrame(frame, text1[1], Point(200, 100));
            //frame.copyTo(frame);
            //continue;
        }
        else if (currentFrame > 60 && currentFrame <= 90)
        {
            processFrame(frame, text1[2], Point(200, 100));
            //frame.copyTo(frame);
            //continue;
        }
        else if (currentFrame > 90 && currentFrame <= 120)
        {
            processFrame(frame, text1[3], Point(200, 100));
            //frame.copyTo(frame);
            //continue;
        }
        else if (currentFrame > 120 && currentFrame <= 150)
        {
            processFrame(frame, text1[4], Point(200, 100));
            //frame.copyTo(frame);
            //continue;
            writer.write(frame);
            waitKey(10);
        }
        else if (currentFrame > 150 && currentFrame <= 180)
        {
            processFrame(frame, text1[4], Point(200, 100));
            processFrame(frame, text2[0], Point(350, 100));
            //frame.copyTo(frame);
            //continue;
        }
        else if (currentFrame > 180 && currentFrame <= 210) 
        {
            processFrame(frame, text1[4], Point(200, 100));
            processFrame(frame, text2[1], Point(350, 100));
            //frame.copyTo(frame);
            //continue;
        }
        else if (currentFrame > 210 && currentFrame <= 240)
        {
            processFrame(frame, text1[4], Point(200, 100));
            processFrame(frame, text2[2], Point(350, 100));
            //frame.copyTo(frame);
            //continue;
        }
        else if (currentFrame > 240 && currentFrame <= 270)
        {

            processFrame(frame, text1[4], Point(200, 100));
            processFrame(frame, text2[3], Point(350, 100));
            //frame.copyTo(frame);
            //continue;
        }
        else if (currentFrame > 270 && currentFrame <= 300)
        {
            processFrame(frame, text1[4], Point(200, 100));
            processFrame(frame, text2[4], Point(350, 100));
            //frame.copyTo(frame);
            //imshow("tex",frame);
            //waitKey(0);
            //continue;
        }
        else if(currentFrame>=300 && currentFrame< fnum)
        {
             processFrame(frame, text1[4], Point(200, 100));
             //frame.copyTo(frame);
             processFrame(frame, text2[4], Point(350, 100));
            
            //frame.copyTo(frame);
            
        }
        else
        {
            break;
            
        }

        currentFrame += 1;
        //imwrite( std::to_string(currentFrame) + ".PNG", frame);
        //frame.resize(800, 600);
        Mat frameSize;
        resize(frame, frameSize, Size(int(1150), int(750)));
        writer.write(frameSize);
        
        //imshow("frame", frame);
        waitKey(3);
        
        
        
    }
    

    
    waitKey(0);
    writer.release();
    capture.release();
    return 0;
}

其實(shí)現(xiàn)效果如下：

受到平臺(tái)限制扭屁，對(duì)opencv生成的視頻做了GIF處理和壓縮算谈，畫(huà)質(zhì)有所下降。