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javacv获取视频第一帧

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07/31
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第一种是用ffmpeg工具，不过还得安装客户端软件，于是放弃了，还有一种是javacv开源工具，所以选择第二种：

第一种：ffmpeg工具

需要安装ffmpeg软件，支持windows和linux，视频安装教程参考：https://www.cnblogs.com/rxbook/p/9652185.html

然后用以下代码：

import java.awt.Image;
import java.awt.image.BufferedImage;
import java.io.*;
import javax.imageio.IIOImage;
import javax.imageio.ImageIO;
import javax.imageio.ImageWriteParam;
import javax.imageio.ImageWriter;public class FirstFrameUtil {
protected String ffmpegApp;
public FirstFrameUtil(String ffmpegApp) {
this.ffmpegApp = ffmpegApp;
}
@SuppressWarnings("unused")
/****
* 获取指定时间内的图片
* @param videoFilename:视频路径
* @param thumbFilename:图片保存路径
* @param width:图片长
* @param height:图片宽
* @param hour:指定时
* @param min:指定分
* @param sec:指定秒
* @throws IOException
* @throws InterruptedException
*/
public void getThumb(String videoFilename, String thumbFilename, int hour, int min, float sec) throws IOException, InterruptedException {
ProcessBuilder processBuilder = new ProcessBuilder(ffmpegApp, "-y", "-i", videoFilename, "-vframes", "1", "-ss", hour + ":" + min + ":" + sec, "-f", "mjpeg", "-an",
thumbFilename);
Process process = processBuilder.start();
InputStream stderr = process.getErrorStream();
InputStreamReader isr = new InputStreamReader(stderr);
BufferedReader br = new BufferedReader(isr);
String line;
while ((line = br.readLine()) != null)
;
process.waitFor();
if (br != null)
br.close();
if (isr != null)
isr.close();
if (stderr != null)
stderr.close();
}
public static void main(String[] args) {
String path = "D:\\config\\ffmpeg-win64\\bin\\ffmpeg.exe"; FirstFrameUtil videoThumbTaker = new FirstFrameUtil(path);
try {
videoThumbTaker.getThumb("D:\\test2.mp4", "D:\\test\\result.png", 0, 0, 1);
File ffmpegFile = new File("D:\\test\\result.png");
FileInputStream input=new FileInputStream(ffmpegFile); System.out.println("over");
} catch (Exception e) {
e.printStackTrace();
}
}
}

即可获取第一帧图片

第二种javacv

直接上代码：（后边有介绍pom文件的引用）

import org.bytedeco.javacpp.opencv_core;
import org.bytedeco.javacpp.opencv_core.IplImage;
import org.bytedeco.javacv.FFmpegFrameGrabber;
import org.bytedeco.javacv.Java2DFrameConverter;
import org.bytedeco.javacv.OpenCVFrameConverter;
import org.bytedeco.javacv.Frame;import javax.imageio.ImageIO;import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;public class VideoTool { public static void main(String[] args) throws Exception { // randomGrabberFFmpegImage("http://101.132.110.90/group1/M00/00/05/rBN4LFq8p5SAJT0wA5k4vpHKf7Q325.mp4", "D:\\test", "test2");
randomGrabberFFmpegImage("D:\\test2.mp4", "D:\\test", "test2");
//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 <5) {
//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29帧
if(i==4){
//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);
}
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();
}
} }

如果不判断旋转，把手机视频放上去，截出来的是方向不对，如图左边是旋转过的，右边没有旋转的：

解决图片旋转问题参考：http://blog.csdn.net/z562743237/article/details/54667252，通过一段时间的搜索了解到，如果拍摄的视频中带有旋转(rotate)信息，那么截取出来的图片就会被旋转。通过查询API发现FFmpegFrameGrabber的getVideoMetadata("rotate")方法可以获取到视频的旋转信息。根据获取到的rotate信息对ff.grabImage()得到的Frame进行旋转，但是Frame并没有提供旋转接口。但IpImage对象提供了旋转方法 。

大多数人都是直接引入

javacv-platform

<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>javacv-platform</artifactId>
<version>1.3.1</version>
</dependency>

javacv-platform这种方式依赖的jar包300M，太大了，经过精简后pom文件如下：（在用，40兆左右）

<properties>
<javacpp.version>1.3</javacpp.version>
</properties> <dependencies>
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>javacv</artifactId>
<version>1.3.1</version>
<exclusions>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>flycapture</artifactId>
</exclusion>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>libdc1394</artifactId>
</exclusion>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>libfreenect</artifactId>
</exclusion>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>libfreenect2</artifactId>
</exclusion>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>librealsense</artifactId>
</exclusion>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>videoinput</artifactId>
</exclusion>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>artoolkitplus</artifactId>
</exclusion>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>artoolkitplus</artifactId>
</exclusion>
<exclusion>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>flandmark</artifactId>
</exclusion>
</exclusions>
</dependency> <dependency>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>opencv</artifactId>
<version>3.1.0-${javacpp.version}</version>
<classifier>linux-x86_64</classifier>
</dependency>
<dependency>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>opencv</artifactId>
<version>3.1.0-${javacpp.version}</version>
<classifier>windows-x86_64</classifier>
</dependency>
<dependency>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>ffmpeg</artifactId>
<version>3.2.1-${javacpp.version}</version>
<classifier>windows-x86_64</classifier>
</dependency>
<dependency>
<groupId>org.bytedeco.javacpp-presets</groupId>
<artifactId>ffmpeg</artifactId>
<version>3.2.1-${javacpp.version}</version>
<classifier>linux-x86_64</classifier>
</dependency>
</dependencies>

共8个jar