JavaCV实现人脸检测功能

2023-09-16 14:05:06 135
本文实例为大家分享了JavaCV实现人脸检测功能的具体代码，供大家参考，具体内容如下
/*
*Copyright(C)2010,2011,2012SamuelAudet
*
*FacePreview-AfusionofOpenCV'sfacedetectandAndroid'sCameraPreviewsamples,
*withJavaCV+JavaCPPastheglueinbetween.
*
*ThisfilewasbasedonCameraPreview.javathatcamewiththeSamplesfor
*AndroidSDKAPI8,revision1andcontainedthefollowingcopyrightnotice:
*
*Copyright(C)2007TheAndroidOpenSourceProject
*
*LicensedundertheApacheLicense,Version2.0(the"License");
*youmaynotusethisfileexceptincompliancewiththeLicense.
*YoumayobtainacopyoftheLicenseat
*
*http://www.apache.org/licenses/LICENSE-2.0
*
*Unlessrequiredbyapplicablelaworagreedtoinwriting,software
*distributedundertheLicenseisdistributedonan"ASIS"BASIS,
*WITHOUTWARRANTIESORCONDITIONSOFANYKIND,eitherexpressorimplied.
*SeetheLicenseforthespecificlanguagegoverningpermissionsand
*limitationsundertheLicense.
*
*
*IMPORTANT-MakesuretheAndroidManifest.xmlfilelookslikethis:
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*
*/

packagecom.googlecode.javacv.facepreview;

importandroid.app.Activity;
importandroid.app.AlertDialog;
importandroid.content.Context;
importandroid.graphics.Canvas;
importandroid.graphics.Color;
importandroid.graphics.ImageFormat;
importandroid.graphics.Paint;
importandroid.hardware.Camera;
importandroid.hardware.Camera.Size;
importandroid.os.Bundle;
importandroid.view.SurfaceHolder;
importandroid.view.SurfaceView;
importandroid.view.View;
importandroid.view.Window;
importandroid.view.WindowManager;
importandroid.widget.FrameLayout;
importjava.io.File;
importjava.io.IOException;
importjava.nio.ByteBuffer;
importjava.util.List;
importcom.googlecode.javacpp.Loader;
importcom.googlecode.javacv.cpp.opencv_objdetect;

importstaticcom.googlecode.javacv.cpp.opencv_core.*;
importstaticcom.googlecode.javacv.cpp.opencv_imgproc.*;
importstaticcom.googlecode.javacv.cpp.opencv_objdetect.*;
importstaticcom.googlecode.javacv.cpp.opencv_highgui.*;

//----------------------------------------------------------------------

publicclassFacePreviewextendsActivity{
privateFrameLayoutlayout;
privateFaceViewfaceView;
privatePreviewmPreview;

@Override
protectedvoidonCreate(BundlesavedInstanceState){
//Hidethewindowtitle.
requestWindowFeature(Window.FEATURE_NO_TITLE);

super.onCreate(savedInstanceState);

getWindow().addFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN);

//CreateourPreviewviewandsetitasthecontentofouractivity.
try{
layout=newFrameLayout(this);
faceView=newFaceView(this);
mPreview=newPreview(this,faceView);
layout.addView(mPreview);
layout.addView(faceView);
setContentView(layout);
}catch(IOExceptione){
e.printStackTrace();
newAlertDialog.Builder(this).setMessage(e.getMessage()).create().show();
}
}
}

//----------------------------------------------------------------------

classFaceViewextendsViewimplementsCamera.PreviewCallback{
publicstaticfinalintSUBSAMPLING_FACTOR=4;

privateIplImagegrayImage;
privateCvHaarClassifierCascadeclassifier;
privateCvMemStoragestorage;
privateCvSeqfaces;

publicFaceView(FacePreviewcontext)throwsIOException{
super(context);

//LoadtheclassifierfilefromJavaresources.
FileclassifierFile=Loader.extractResource(getClass(),
"/com/googlecode/javacv/facepreview/haarcascade_frontalface_alt2.xml",
context.getCacheDir(),"classifier",".xml");
if(classifierFile==null||classifierFile.length()<=0){
thrownewIOException("CouldnotextracttheclassifierfilefromJavaresource.");
}

//Preloadtheopencv_objdetectmoduletoworkaroundaknownbug.
Loader.load(opencv_objdetect.class);
classifier=newCvHaarClassifierCascade(cvLoad(classifierFile.getAbsolutePath()));
classifierFile.delete();
if(classifier.isNull()){
thrownewIOException("Couldnotloadtheclassifierfile.");
}
storage=CvMemStorage.create();
}

publicvoidonPreviewFrame(finalbyte[]data,finalCameracamera){
try{
Camera.Sizesize=camera.getParameters().getPreviewSize();
processImage(data,size.width,size.height);
camera.addCallbackBuffer(data);
}catch(RuntimeExceptione){
//Thecamerahasprobablyjustbeenreleased,ignore.
}
}

protectedvoidprocessImage(byte[]data,intwidth,intheight){
//First,downsampleourimageandconvertitintoagrayscaleIplImage
intf=SUBSAMPLING_FACTOR;
if(grayImage==null||grayImage.width()!=width/f||grayImage.height()!=height/f){
grayImage=IplImage.create(width/f,height/f,IPL_DEPTH_8U,1);
}
intimageWidth=grayImage.width();
intimageHeight=grayImage.height();
intdataStride=f*width;
intimageStride=grayImage.widthStep();
ByteBufferimageBuffer=grayImage.getByteBuffer();
for(inty=0;ysizes,intw,inth){
finaldoubleASPECT_TOLERANCE=0.05;
doubletargetRatio=(double)w/h;
if(sizes==null)returnnull;

SizeoptimalSize=null;
doubleminDiff=Double.MAX_VALUE;

inttargetHeight=h;

//Trytofindansizematchaspectratioandsize
for(Sizesize:sizes){
doubleratio=(double)size.width/size.height;
if(Math.abs(ratio-targetRatio)>ASPECT_TOLERANCE)continue;
if(Math.abs(size.height-targetHeight)sizes=parameters.getSupportedPreviewSizes();
SizeoptimalSize=getOptimalPreviewSize(sizes,w,h);
parameters.setPreviewSize(optimalSize.width,optimalSize.height);

mCamera.setParameters(parameters);
if(previewCallback!=null){
mCamera.setPreviewCallbackWithBuffer(previewCallback);
Camera.Sizesize=parameters.getPreviewSize();
byte[]data=newbyte[size.width*size.height*
ImageFormat.getBitsPerPixel(parameters.getPreviewFormat())/8];
mCamera.addCallbackBuffer(data);
}
mCamera.startPreview();
}

}
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毛票票。
JavaCV实现人脸检测功能

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