Java+opencv 读取视频文件flv格式，按帧生成图片预览

水深无声 2022-06-18 07:10 263阅读 0赞

import it.sauronsoftware.jave.Encoder;  
import it.sauronsoftware.jave.EncoderException;  
import it.sauronsoftware.jave.EncodingAttributes;  
import it.sauronsoftware.jave.InputFormatException;  
import it.sauronsoftware.jave.MultimediaInfo;  
import it.sauronsoftware.jave.VideoAttributes;  
import it.sauronsoftware.jave.VideoSize;

import java.io.File;

import org.opencv.core.Core;  
import org.opencv.core.Mat;  
import org.opencv.core.MatOfRect;  
import org.opencv.core.Point;  
import org.opencv.core.Rect;  
import org.opencv.core.Scalar;  
import org.opencv.highgui.Highgui;  
import org.opencv.objdetect.CascadeClassifier;

public class MP4Image \{  
public void imageI() \{  
try \{  
File source1 = new File(“E:\\test\\flex.flv”);  
VideoAttributes video1 = new VideoAttributes();  
Encoder encoder1 = new Encoder();  
video1.setCodec(“png”);//转图片  
video1.setSize(new VideoSize(600, 500));  
//获取时长  
MultimediaInfo m = encoder1.getInfo(source1);  
System.out.println(m.getDuration());  
EncodingAttributes attrs1 = new EncodingAttributes();  
long beginTime1 = System.currentTimeMillis();  
beginTime1 = System.currentTimeMillis();  
for(int i = 0;i < m.getDuration()/1000;i++)\{  
File target1 = new File(“E:\\test\\target”+i+”.png”);//转图片  
attrs1.setFormat(“image2”);//转图片  
attrs1.setOffset(i+0f);//设置偏移位置，即开始转码位置（3秒）  
attrs1.setDuration(0.01f);//设置转码持续时间（1秒）  
attrs1.setVideoAttributes(video1);  
encoder1.encode(source1, target1, attrs1);  
try \{  
Thread.currentThread().sleep(200);  
\} catch (InterruptedException e) \{  
// TODO Auto-generated catch block  
e.printStackTrace();  
\}  
run(“E:\\test\\target”+i+”.png”,”E:\\test\\targetx”+i+”.png”);  
\}  
System.out.println(“获取时长花费时间是：” + (System.currentTimeMillis() - beginTime1));  
System.out.println(“视频转码花费时间是：” + (System.currentTimeMillis() - beginTime1));  
\} catch (IllegalArgumentException e) \{  
e.printStackTrace();  
\} catch (InputFormatException e) \{  
e.printStackTrace();  
\} catch (EncoderException e) \{  
e.printStackTrace();  
\}  
\}  
public void run(String res,String tar) \{  
System.out.println(“\\nRunning DetectFaceDemo”);  
System.out.println(getClass().getResource(“haarcascade\_frontalface\_alt2.xml”).getPath());  
// Create a face detector from the cascade file in the resources  
// directory.  
//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource(“lbpcascade\_frontalface.xml”).getPath());  
//Mat image = Highgui.imread(getClass().getResource(“lena.png”).getPath());  
//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误  
/\*  
\* Detected 0 faces Writing faceDetection.png libpng warning: Image  
\* width is zero in IHDR libpng warning: Image height is zero in IHDR  
\* libpng error: Invalid IHDR data  
\*/  
//因此，我们将第一个字符去掉  
//String xmlfilePath=getClass().getResource(“lbpcascade\_frontalface.xml”).getPath().substring(1);  
//效果比上面注释的好多了  
String xmlfilePath=getClass().getResource(“haarcascade\_frontalface\_alt2.xml”).getPath().substring(1);  
CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);  
Mat image = Highgui.imread(res);  
// Detect faces in the image.  
// MatOfRect is a special container class for Rect.  
MatOfRect faceDetections = new MatOfRect();  
faceDetector.detectMultiScale(image, faceDetections);  
System.out.println(String.format(“Detected %s faces”, faceDetections.toArray().length));  
// Draw a bounding box around each face.  
for (Rect rect : faceDetections.toArray()) \{  
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));  
\}  
// Save the visualized detection.  
//String filename = “faceDetection”+i+”.png”;  
System.out.println(String.format(“Writing %s”, tar));  
Highgui.imwrite(tar, image);  
\}  
public static void main(String\[\] args) \{  
// /\*File source = new File(“E:\\test\\flex.mp4”);  
// File target = new File(“E:\\test\\flex.flv”);// 转flv  
//  
// AudioAttributes audio = new AudioAttributes();  
// audio.setCodec(“libmp3lame”);  
// audio.setBitRate(new Integer(64000));  
// audio.setChannels(new Integer(1));  
// audio.setSamplingRate(new Integer(22050));  
// VideoAttributes video = new VideoAttributes();  
// video.setCodec(“flv”);// 转flv  
// video.setBitRate(new Integer(180000));// 180kb/s比特率  
// video.setFrameRate(new Integer(1));// 1f/s帧频，1是目前测试比较清楚的，越大越模糊  
// EncodingAttributes attrs = new EncodingAttributes();  
// attrs.setFormat(“flv”);// 转flv  
// attrs.setAudioAttributes(audio);  
// attrs.setVideoAttributes(video);  
// Encoder encoder = new Encoder();  
// long beginTime = System.currentTimeMillis();  
// try \{  
// // 获取时长  
// MultimediaInfo m = encoder.getInfo(source);  
// long sTime = m.getDuration();  
// long minute = sTime / 60000;  
// long second = (sTime % 60000) / 1000;  
// System.out.println(“视频时长：” + minute + “:” + (second < 10 ? “0” + second : second));  
// System.out.println(“获取时长花费时间是：” + (System.currentTimeMillis() - beginTime));  
// beginTime = System.currentTimeMillis();  
// encoder.encode(source, target, attrs);  
// System.out.println(“视频转码花费时间是：” + (System.currentTimeMillis() - beginTime));  
// \} catch (IllegalArgumentException e) \{  
// e.printStackTrace();  
// \} catch (InputFormatException e) \{  
// e.printStackTrace();  
// \} catch (EncoderException e) \{  
// e.printStackTrace();  
// \}  
//  
// \*/  
System.loadLibrary(“opencv\_java246”);  
new MP4Image().imageI();

}