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亿速云。
免责声明:本站发布的内容(图片、视频和文字)以原创、转载和分享为主,文章观点不代表本网站立场,如果涉及侵权请联系站长邮箱:is@yisu.com进行举报,并提供相关证据,一经查实,将立刻删除涉嫌侵权内容。