使用前： 在用JavaCV实现以帧方式抽取视频的前，我们需要先从bytedeco/javacv下载第三方的压缩包，解压后按自己的需求往自己的IDE ( * IDEA / Eclipse * ) 导入解压缩包下JAR文件;

接下来就以代码方式来说明如何利用Javacv来将视频以帧的方式抽取出来:

import org.bytedeco.javacv.FFmpegFrameGrabber;

import org.bytedeco.javacv.Frame;

import org.bytedeco.javacv.Java2DFrameConverter;

import javax.imageio.ImageIO;

import java.awt.image.BufferedImage;

import java.io.File;

import java.io.IOException;

import static org.bytedeco.javacpp.opencv_core.IplImage;

import static org.bytedeco.javacpp.opencv_core.cvReleaseImage;

import static org.bytedeco.javacpp.opencv_imgcodecs.cvLoadImage;

import static org.bytedeco.javacpp.opencv_imgcodecs.cvSaveImage;

import static org.bytedeco.javacpp.opencv_imgproc.cvSmooth;

public class JavaCV {

// the image's path;

final static String imagePath = "/home/lance/abc.jpg/";

// the vedio's path and filename;

final static String vedioPath = "/home/lance/target-a/";

final static String vedioName = "origin-a.mp4";

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

smooth(imagePath);

grabberFFmpegImage(vedioPath + vedioName, vedioPath

, vedioName, 30);

}

// the method of compress image;

public static void smooth(String fileName) {

IplImage iplImage = cvLoadImage(fileName);

if (iplImage != null) {

cvSmooth(iplImage, iplImage);

cvSaveImage(fileName, iplImage);

cvReleaseImage(iplImage);

}

}

// grab ffmpegImage from vedio;

public static void grabberFFmpegImage(String filePath, String fileTargetPath

, String fileTargetName, int grabSize) throws Exception{

FFmpegFrameGrabber ff = FFmpegFrameGrabber.createDefault(filePath);

ff.start();

for (int i = 0; i < grabSize; i++){

Frame frame = ff.grabImage();

doExecuteFrame(frame, filePath, fileTargetName, i);

}

ff.stop();

}

// grab frame from vedio;

public static void doExecuteFrame(Frame frame, String targetFilePath, String targetFileName, int index) {

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

return;

}

Java2DFrameConverter converter = new Java2DFrameConverter();

String imageMat = "jpg";

String fileName = targetFilePath + File.pathSeparator + targetFileName + "_" + index + "." + imageMat;

BufferedImage bi = converter.getBufferedImage(frame);

File output = new File(fileName);

try{

ImageIO.write(bi, imageMat, output);

} catch (IOException e) {

e.printStackTrace();

}

}

}

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。