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;
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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创新互联。
