EyeTutorial_updated眼睛检测Demo（完整版）

以下是EyeTutorial_updated眼睛检测Demo的实例代码。只要在eclipse中配置好 OpenCV 2.4.11即可运行，无需配置NDK。

1、FdActivity.java引入包

package org.opencv.samples.facedetect;import java.io.File;import java.io.FileOutputStream;import java.io.IOException;import java.io.InputStream;import org.opencv.android.BaseLoaderCallback;import org.opencv.android.CameraBridgeViewBase.CvCameraViewFrame;import org.opencv.android.LoaderCallbackInterface;import org.opencv.android.OpenCVLoader;import org.opencv.core.Core;import org.opencv.core.CvType;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.core.Size;import org.opencv.imgproc.Imgproc;import org.opencv.android.CameraBridgeViewBase;import org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2;import org.opencv.objdetect.CascadeClassifier;import org.opencv.objdetect.Objdetect;import android.app.Activity;import android.content.Context;import android.os.Bundle;import android.util.Log;import android.view.Menu;import android.view.MenuItem;import android.view.View;import android.view.WindowManager;import android.widget.SeekBar;import android.widget.TextView;import android.widget.SeekBar.OnSeekBarChangeListener;

public class FdActivity extends Activity implements CvCameraViewListener2 {private static final String TAG = "OCVSample::Activity";private static final Scalar FACE_RECT_COLOR = new Scalar(0, 255, 0, 255);public static final int JAVA_DETECTOR = 0;private static final int TM_SQDIFF = 0;private static final int TM_SQDIFF_NORMED = 1;private static final int TM_CCOEFF = 2;private static final int TM_CCOEFF_NORMED = 3;private static final int TM_CCORR = 4;private static final int TM_CCORR_NORMED = 5;private int learn_frames = 0;private Mat teplateR;private Mat teplateL;int method = 0;private MenuItem mItemFace50;private MenuItem mItemFace40;private MenuItem mItemFace30;private MenuItem mItemFace20;private MenuItem mItemType;private Mat mRgba;private Mat mGray;// matrix for zoomingprivate Mat mZoomWindow;private Mat mZoomWindow2;private File mCascadeFile;private CascadeClassifier mJavaDetector;private CascadeClassifier mJavaDetectorEye;private int mDetectorType = JAVA_DETECTOR;private String[] mDetectorName;private float mRelativeFaceSize = 0.2f;private int mAbsoluteFaceSize = 0;private CameraBridgeViewBase mOpenCvCameraView;private SeekBar mMethodSeekbar;private TextView mValue;double xCenter = -1;double yCenter = -1;private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {@Overridepublic void onManagerConnected(int status) {switch (status) {case LoaderCallbackInterface.SUCCESS: {Log.i(TAG, "OpenCV loaded successfully");try {// load cascade file from application resourcesInputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface);File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);mCascadeFile = new File(cascadeDir,"lbpcascade_frontalface.xml");FileOutputStream os = new FileOutputStream(mCascadeFile);byte[] buffer = new byte[4096];int bytesRead;while ((bytesRead = is.read(buffer)) != -1) {os.write(buffer, 0, bytesRead);}is.close();os.close();// --------------------------------- load left eye// classificator -----------------------------------InputStream iser = getResources().openRawResource(R.raw.haarcascade_lefteye_2splits);File cascadeDirER = getDir("cascadeER",Context.MODE_PRIVATE);File cascadeFileER = new File(cascadeDirER,"haarcascade_eye_right.xml");FileOutputStream oser = new FileOutputStream(cascadeFileER);byte[] bufferER = new byte[4096];int bytesReadER;while ((bytesReadER = iser.read(bufferER)) != -1) {oser.write(bufferER, 0, bytesReadER);}iser.close();oser.close();mJavaDetector = new CascadeClassifier(mCascadeFile.getAbsolutePath());if (mJavaDetector.empty()) {Log.e(TAG, "Failed to load cascade classifier");mJavaDetector = null;} elseLog.i(TAG, "Loaded cascade classifier from "+ mCascadeFile.getAbsolutePath());mJavaDetectorEye = new CascadeClassifier(cascadeFileER.getAbsolutePath());if (mJavaDetectorEye.empty()) {Log.e(TAG, "Failed to load cascade classifier");mJavaDetectorEye = null;} elseLog.i(TAG, "Loaded cascade classifier from "+ mCascadeFile.getAbsolutePath());cascadeDir.delete();} catch (IOException e) {e.printStackTrace();Log.e(TAG, "Failed to load cascade. Exception thrown: " + e);}mOpenCvCameraView.setCameraIndex(1);// switch from back to front cameramOpenCvCameraView.enableFpsMeter();// switch from back to front cameramOpenCvCameraView.enableView();}break;default: {super.onManagerConnected(status);}break;}}};public FdActivity() {mDetectorName = new String[2];mDetectorName[JAVA_DETECTOR] = "Java";Log.i(TAG, "Instantiated new " + this.getClass());}/** Called when the activity is first created. */@Overridepublic void onCreate(Bundle savedInstanceState) {Log.i(TAG, "called onCreate");super.onCreate(savedInstanceState);getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);setContentView(R.layout.face_detect_surface_view);mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.fd_activity_surface_view);mOpenCvCameraView.setCvCameraViewListener(this);mMethodSeekbar = (SeekBar) findViewById(R.id.methodSeekBar);mValue = (TextView) findViewById(R.id.method);mMethodSeekbar.setOnSeekBarChangeListener(new OnSeekBarChangeListener() {@Overridepublic void onStopTrackingTouch(SeekBar seekBar) {// TODO Auto-generated method stub}@Overridepublic void onStartTrackingTouch(SeekBar seekBar) {// TODO Auto-generated method stub}@Overridepublic void onProgressChanged(SeekBar seekBar, int progress,boolean fromUser) {method = progress;switch (method) {case 0:mValue.setText("TM_SQDIFF");break;case 1:mValue.setText("TM_SQDIFF_NORMED");break;case 2:mValue.setText("TM_CCOEFF");break;case 3:mValue.setText("TM_CCOEFF_NORMED");break;case 4:mValue.setText("TM_CCORR");break;case 5:mValue.setText("TM_CCORR_NORMED");break;}}});}@Overridepublic void onPause() {super.onPause();if (mOpenCvCameraView != null)mOpenCvCameraView.disableView();}@Overridepublic void onResume() {super.onResume();OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this,mLoaderCallback);}public void onDestroy() {super.onDestroy();mOpenCvCameraView.disableView();}public void onCameraViewStarted(int width, int height) {mGray = new Mat();mRgba = new Mat();}public void onCameraViewStopped() {mGray.release();mRgba.release();mZoomWindow.release();mZoomWindow2.release();}public Mat onCameraFrame(CvCameraViewFrame inputFrame) {mRgba = inputFrame.rgba();mGray = inputFrame.gray();if (mAbsoluteFaceSize == 0) {int height = mGray.rows();if (Math.round(height * mRelativeFaceSize) > 0) {mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize);}}if (mZoomWindow == null || mZoomWindow2 == null)        CreateAuxiliaryMats();MatOfRect faces = new MatOfRect();if (mJavaDetector != null)mJavaDetector.detectMultiScale(mGray, faces, 1.1, 2,2, // TODO: objdetect.CV_HAAR_SCALE_IMAGEnew Size(mAbsoluteFaceSize, mAbsoluteFaceSize),new Size());Rect[] facesArray = faces.toArray();for (int i = 0; i < facesArray.length; i++) {Core.rectangle(mRgba, facesArray[i].tl(), facesArray[i].br(),FACE_RECT_COLOR, 3);xCenter = (facesArray[i].x + facesArray[i].width + facesArray[i].x) / 2;yCenter = (facesArray[i].y + facesArray[i].y + facesArray[i].height) / 2;Point center = new Point(xCenter, yCenter);Core.circle(mRgba, center, 10, new Scalar(255, 0, 0, 255), 3);Core.putText(mRgba, "[" + center.x + "," + center.y + "]",new Point(center.x + 20, center.y + 20),Core.FONT_HERSHEY_SIMPLEX, 0.7, new Scalar(255, 255, 255,255));Rect r = facesArray[i];// compute the eye areaRect eyearea = new Rect(r.x + r.width / 8,(int) (r.y + (r.height / 4.5)), r.width - 2 * r.width / 8,(int) (r.height / 3.0));// split itRect eyearea_right = new Rect(r.x + r.width / 16,(int) (r.y + (r.height / 4.5)),(r.width - 2 * r.width / 16) / 2, (int) (r.height / 3.0));Rect eyearea_left = new Rect(r.x + r.width / 16+ (r.width - 2 * r.width / 16) / 2,(int) (r.y + (r.height / 4.5)),(r.width - 2 * r.width / 16) / 2, (int) (r.height / 3.0));// draw the area - mGray is working grayscale mat, if you want to// see area in rgb preview, change mGray to mRgbaCore.rectangle(mRgba, eyearea_left.tl(), eyearea_left.br(),new Scalar(255, 0, 0, 255), 2);Core.rectangle(mRgba, eyearea_right.tl(), eyearea_right.br(),new Scalar(255, 0, 0, 255), 2);if (learn_frames < 5) {teplateR = get_template(mJavaDetectorEye, eyearea_right, 24);teplateL = get_template(mJavaDetectorEye, eyearea_left, 24);learn_frames++;} else {// Learning finished, use the new templates for template// matching match_eye(eyearea_right, teplateR, method);  match_eye(eyearea_left, teplateL, method); }// cut eye areas and put them to zoom windowsImgproc.resize(mRgba.submat(eyearea_left), mZoomWindow2,mZoomWindow2.size());Imgproc.resize(mRgba.submat(eyearea_right), mZoomWindow,mZoomWindow.size());}return mRgba;}@Overridepublic boolean onCreateOptionsMenu(Menu menu) {Log.i(TAG, "called onCreateOptionsMenu");mItemFace50 = menu.add("Face size 50%");mItemFace40 = menu.add("Face size 40%");mItemFace30 = menu.add("Face size 30%");mItemFace20 = menu.add("Face size 20%");mItemType = menu.add(mDetectorName[mDetectorType]);return true;}@Overridepublic boolean onOptionsItemSelected(MenuItem item) {Log.i(TAG, "called onOptionsItemSelected; selected item: " + item);if (item == mItemFace50)setMinFaceSize(0.5f);else if (item == mItemFace40)setMinFaceSize(0.4f);else if (item == mItemFace30)setMinFaceSize(0.3f);else if (item == mItemFace20)setMinFaceSize(0.2f);else if (item == mItemType) {int tmpDetectorType = (mDetectorType + 1) % mDetectorName.length;item.setTitle(mDetectorName[tmpDetectorType]);}return true;}private void setMinFaceSize(float faceSize) {mRelativeFaceSize = faceSize;mAbsoluteFaceSize = 0;}

//Create the zooming matrixesprivate void CreateAuxiliaryMats() {if (mGray.empty())return;int rows = mGray.rows();int cols = mGray.cols();if (mZoomWindow == null) {mZoomWindow = mRgba.submat(rows / 2 + rows / 10, rows, cols / 2+ cols / 10, cols);mZoomWindow2 = mRgba.submat(0, rows / 2 - rows / 10, cols / 2+ cols / 10, cols);}}//and for matching eyesprivate void match_eye(Rect area, Mat mTemplate, int type) {Point matchLoc;Mat mROI = mGray.submat(area);int result_cols = mROI.cols() - mTemplate.cols() + 1;int result_rows = mROI.rows() - mTemplate.rows() + 1;// Check for bad template sizeif (mTemplate.cols() == 0 || mTemplate.rows() == 0) {return ;}Mat mResult = new Mat(result_cols, result_rows, CvType.CV_8U);switch (type) {case TM_SQDIFF:Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_SQDIFF);break;case TM_SQDIFF_NORMED:Imgproc.matchTemplate(mROI, mTemplate, mResult,Imgproc.TM_SQDIFF_NORMED);break;case TM_CCOEFF:Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCOEFF);break;case TM_CCOEFF_NORMED:Imgproc.matchTemplate(mROI, mTemplate, mResult,Imgproc.TM_CCOEFF_NORMED);break;case TM_CCORR:Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCORR);break;case TM_CCORR_NORMED:Imgproc.matchTemplate(mROI, mTemplate, mResult,Imgproc.TM_CCORR_NORMED);break;}Core.MinMaxLocResult mmres = Core.minMaxLoc(mResult);// there is difference in matching methods - best match is max/min valueif (type == TM_SQDIFF || type == TM_SQDIFF_NORMED) {matchLoc = mmres.minLoc;} else {matchLoc = mmres.maxLoc;}Point matchLoc_tx = new Point(matchLoc.x + area.x, matchLoc.y + area.y);Point matchLoc_ty = new Point(matchLoc.x + mTemplate.cols() + area.x,matchLoc.y + mTemplate.rows() + area.y);Core.rectangle(mRgba, matchLoc_tx, matchLoc_ty, new Scalar(255, 255, 0,255)); Rect rec = new Rect(matchLoc_tx,matchLoc_ty);}//creating eye templateprivate Mat get_template(CascadeClassifier clasificator, Rect area, int size) {Mat template = new Mat();Mat mROI = mGray.submat(area);MatOfRect eyes = new MatOfRect();Point iris = new Point();Rect eye_template = new Rect();clasificator.detectMultiScale(mROI, eyes, 1.15, 2,Objdetect.CASCADE_FIND_BIGGEST_OBJECT| Objdetect.CASCADE_SCALE_IMAGE, new Size(30, 30),new Size());Rect[] eyesArray = eyes.toArray();for (int i = 0; i < eyesArray.length;) {Rect e = eyesArray[i];e.x = area.x + e.x;e.y = area.y + e.y;Rect eye_only_rectangle = new Rect((int) e.tl().x,(int) (e.tl().y + e.height * 0.4), (int) e.width,(int) (e.height * 0.6));mROI = mGray.submat(eye_only_rectangle);Mat vyrez = mRgba.submat(eye_only_rectangle);Core.MinMaxLocResult mmG = Core.minMaxLoc(mROI);Core.circle(vyrez, mmG.minLoc, 2, new Scalar(255, 255, 255, 255), 2);iris.x = mmG.minLoc.x + eye_only_rectangle.x;iris.y = mmG.minLoc.y + eye_only_rectangle.y;eye_template = new Rect((int) iris.x - size / 2, (int) iris.y- size / 2, size, size);Core.rectangle(mRgba, eye_template.tl(), eye_template.br(),new Scalar(255, 0, 0, 255), 2);template = (mGray.submat(eye_template)).clone();return template;}return template;}public void onRecreateClick(View v)    {    learn_frames = 0;    }}

2、face_detect_surface_view.xml

<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"    xmlns:tools="http://schemas.android.com/tools"    android:layout_width="match_parent"    android:layout_height="match_parent" >    <org.opencv.android.JavaCameraView        android:id="@+id/fd_activity_surface_view"        android:layout_width="fill_parent"        android:layout_height="fill_parent" />    <Button        android:layout_width="wrap_content"        android:layout_height="wrap_content"        android:layout_alignParentLeft="true"        android:layout_centerVertical="true"        android:onClick="onRecreateClick"        android:text="Recreate" />    <TextView        android:id="@+id/method"        android:layout_width="wrap_content"        android:layout_height="wrap_content"        android:layout_above="@+id/seekbars"        android:layout_alignParentLeft="true"        android:layout_margin="5dp"        android:text="method"        android:textColor="@android:color/white"        android:textSize="10sp" />    <LinearLayout        android:id="@+id/seekbars"        android:layout_width="fill_parent"        android:layout_height="wrap_content"        android:layout_alignParentBottom="true"        android:orientation="horizontal"        >        <SeekBar            android:id="@+id/methodSeekBar"            android:layout_width="fill_parent"            android:layout_height="wrap_content"            android:max="5"            android:paddingLeft="5dip"            android:paddingRight="10dip"            android:progress="500" >        </SeekBar>    </LinearLayout></RelativeLayout>

3、EyeTutorial_updated Manifest

<?xml version="1.0" encoding="utf-8"?><manifest xmlns:android="http://schemas.android.com/apk/res/android"          package="org.opencv.samples.facedetect"          android:versionCode="21"          android:versionName="2.1">    <application        android:label="@string/app_name"        android:icon="@drawable/icon"        android:theme="@android:style/Theme.NoTitleBar.Fullscreen" >        <activity android:name="FdActivity"                  android:label="@string/app_name"                  android:screenOrientation="landscape"                  android:configChanges="keyboardHidden|orientation">            <intent-filter>                <action android:name="android.intent.action.MAIN" />                <category android:name="android.intent.category.LAUNCHER" />            </intent-filter>        </activity>    </application>    <supports-screens android:resizeable="true"                      android:smallScreens="true"                      android:normalScreens="true"                      android:largeScreens="true"                      android:anyDensity="true" />    <uses-sdk android:minSdkVersion="8" />    <uses-permission android:name="android.permission.CAMERA"/>    <uses-feature android:name="android.hardware.camera" android:required="false"/>    <uses-feature android:name="android.hardware.camera.autofocus" android:required="false"/>    <uses-feature android:name="android.hardware.camera.front" android:required="false"/>    <uses-feature android:name="android.hardware.camera.front.autofocus" android:required="false"/></manifest>

Demo下载地址：http://download.csdn.net/detail/baidu_28479651/8995741