javaCV视频处理之如何提取人像视频

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效果图对比

左侧的为原视频，右侧为提取人像跳舞的视频。

pom文件引入依赖

                                              com.baidu.aip                        java-sdk                        4.16.3                                                                        org.bytedeco                        javacv-platform                        1.5.5                

java核心实现代码（完整）

 import com.baidu.aip.bodyanalysis.AipBodyAnalysis;import org.bytedeco.javacv.FFmpegFrameGrabber;import org.bytedeco.javacv.FFmpegFrameRecorder;import org.bytedeco.javacv.Frame;import org.bytedeco.javacv.Java2DFrameConverter; import javax.imageio.ImageIO;import java.awt.*;import java.awt.image.BufferedImage;import java.io.*;import java.util.HashMap; import org.bytedeco.ffmpeg.global.avutil;import org.bytedeco.ffmpeg.global.avcodec;import org.json.JSONObject;import sun.misc.BASE64Decoder; public class VideoProcessor {    //设置APPID/AK/SK    public static final String APP_ID = "25393592";    public static final String API_KEY = "OkRDD6FQwm5hTKGSMIEL9RN4";    public static final String SECRET_KEY = "ONAxohflnqL2HwBEQB2iGUCjmO5lgywp";      final static String videoFolderPath = "C:/Users/liuya/Desktop/video/";    final static String videoName = "demo.mp4";    final static String imageFolderPath = "C:/Users/liuya/Desktop/people/";      public static void main(String[] args) throws Exception {        videoProcess(videoFolderPath + videoName);    }     //视频水印    public static void videoProcess(String filePath) {        //抓取视频图像资源        FFmpegFrameGrabber videoGrabber = new FFmpegFrameGrabber(filePath);        //抓取视频图像资源        FFmpegFrameGrabber audioGrabber = new FFmpegFrameGrabber(filePath);        try {            videoGrabber.start();            audioGrabber.start();            FFmpegFrameRecorder recorder = new FFmpegFrameRecorder(videoFolderPath + "new" + videoName, videoGrabber.getImageWidth(), videoGrabber.getImageHeight(), videoGrabber.getAudioChannels());            recorder.setPixelFormat(avutil.AV_PIX_FMT_YUV420P);            recorder.setVideoCodec(avcodec.AV_CODEC_ID_H264);            recorder.start();            //处理图像            int videoSize = videoGrabber.getLengthInVideoFrames();            for (int i = 0; i < videoSize; i++) {                Frame videoFrame = videoGrabber.grabImage();                if (videoFrame != null && videoFrame.image != null) {                    System.out.println("视频共" + videoSize + "帧，正处理第" + (i + 1) + "帧图片");                    Java2DFrameConverter converter = new Java2DFrameConverter();                    BufferedImage bi=converter.getBufferedImage(videoFrame);                    BufferedImage bufferedImage = splitting(bi);                    recorder.record(converter.convert(bufferedImage));                }            }            //处理音频            for (int i = 0; i < audioGrabber.getLengthInAudioFrames(); i++) {                Frame audioFrame = audioGrabber.grabSamples();                if (audioFrame != null && audioFrame.samples != null) {                    recorder.recordSamples(audioFrame.sampleRate, audioFrame.audioChannels, audioFrame.samples);                }            }            recorder.stop();            recorder.release();            videoGrabber.stop();            audioGrabber.stop();        } catch (Exception e) {            e.printStackTrace();        }    }     public static BufferedImage splitting(BufferedImage image){        ByteArrayOutputStream out=new ByteArrayOutputStream();        try {            ImageIO.write(image,"png",out);        } catch (IOException e) {            e.printStackTrace();        }        return splitting(out.toByteArray());    }     public static BufferedImage splitting(byte[] image){        // 初始化一个AipBodyAnalysis        AipBodyAnalysis client = new AipBodyAnalysis(APP_ID, API_KEY, SECRET_KEY);        // 可选：设置网络连接参数        client.setConnectionTimeoutInMillis(2000);        client.setSocketTimeoutInMillis(60000);        // 传入可选参数调用接口        HashMap options = new HashMap();        options.put("type", "foreground");        // 参数为本地路径        JSONObject res = client.bodySeg(image, options);        return  convert(res.get("foreground").toString());    }      public static BufferedImage convert(String labelmapBase64) {        try {            BASE64Decoder decoder = new BASE64Decoder();            byte[] bytes = decoder.decodeBuffer(labelmapBase64);            InputStream is = new ByteArrayInputStream(bytes);            BufferedImage image = ImageIO.read(is);            //失真处理            BufferedImage newBufferedImage = new BufferedImage(image.getWidth(), image.getHeight(), BufferedImage.TYPE_INT_RGB);            newBufferedImage.createGraphics().drawImage(image, 0, 0, Color.WHITE, null);            ByteArrayOutputStream out=new ByteArrayOutputStream();            ImageIO.write(newBufferedImage, "png", out);            ByteArrayInputStream in = new ByteArrayInputStream(out.toByteArray());            return ImageIO.read(in);        } catch (IOException e) {            e.printStackTrace();            return null;        }    }  }

控制台输出

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