引入依赖

org.bytedeco

javacv

1.5.3

org.bytedeco

javacv-platform

1.5.3

代码实现

package com.java.mmzsblog;

import org.bytedeco.javacv.FFmpegFrameGrabber;

import org.bytedeco.javacv.Frame;

import org.bytedeco.javacv.Java2DFrameConverter;

import org.bytedeco.javacv.OpenCVFrameConverter;

import org.bytedeco.opencv.global.opencv_core;

import org.bytedeco.opencv.opencv_core.IplImage;

import javax.imageio.ImageIO;

import java.awt.image.BufferedImage;

import java.io.File;

import java.io.IOException;

/**

* @author ：created by mmzsblog.cn

* @description： javaCV开发详解之2：截取推流服务器视频的某帧或本地视频的某帧

* @date ：created at 2020/07/07 10:57

*/

public class VideoTool {

public static void main(String[] args) throws Exception {

// randomGrabberFFmpegImage("http://192.168.0.11/image/00/05/test.mp4", "D:\\test", "test2");

// randomGrabberFFmpegImage("D:\\1.mp4", "D:\\test", "test");

randomGrabberFFmpegImage("rtmp://192.168.0.11:1935/live/123456", "D:\\test", "test");

//randomGrabberFFmpegImage("C:/Users\\Administrator\\Desktop\\VID_20171229_162251.mp4", "G:\\test", "111");

}

public static void randomGrabberFFmpegImage(String filePath, String targerFilePath, String targetFileName)

throws Exception {

//创建视频帧抓取工具

FFmpegFrameGrabber ff = FFmpegFrameGrabber.createDefault(filePath);

ff.start();

//获取旋转角度信息(90度)

String rotate = ff.getVideoMetadata("rotate");

//帧

Frame f;

//i可以控制获取第几帧

int i = 0;

while (i < 100) {

//一帧一帧去抓取视频图片，ff.grabImage();每次抓取下一帧

f = ff.grabImage();

IplImage src = null;

//旋转图像并输出第 i 帧(i是4的倍数)

if (i % 4 == 0) {

//手机录的视频有旋转角度，需要旋转处理

if (null != rotate && rotate.length() > 1) {

OpenCVFrameConverter.ToIplImage converter = new OpenCVFrameConverter.ToIplImage();

src = converter.convert(f);

f = converter.convert(rotate(src, Integer.valueOf(rotate)));

}

//输出第几帧图片

doExecuteFrame(f, targerFilePath, targetFileName + i);

}

i++;

}

ff.stop();

}

/*

* 旋转角度的

*/

public static IplImage rotate(IplImage src, int angle) {

IplImage img = IplImage.create(src.height(), src.width(), src.depth(), src.nChannels());

opencv_core.cvTranspose(src, img);

opencv_core.cvFlip(img, img, angle);

return img;

}

public static void doExecuteFrame(Frame f, String targerFilePath, String targetFileName) {

if (null == f || null == f.image) {

return;

}

Java2DFrameConverter converter = new Java2DFrameConverter();

String imageMat = "jpg";

String FileName = targerFilePath + File.separator + targetFileName + "." + imageMat;

BufferedImage bi = converter.getBufferedImage(f);

System.out.println("width:" + bi.getWidth());

System.out.println("height:" + bi.getHeight());

File output = new File(FileName);

try {

ImageIO.write(bi, imageMat, output);

} catch (IOException e) {

e.printStackTrace();

}

}

}

标题：JavaCV开发详解之2：截取推流服务器视频的某帧或本地视频的某帧

作者：mmzsblog

地址：https://www.mmzsblog.cn/articles/2020/09/07/1599489221392.html

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