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JavaCV实现人脸检测功能

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

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/* 
 * Copyright (C) 2010,2011,2012 Samuel Audet 
 * 
 * FacePreview - A fusion of OpenCV's facedetect and Android's CameraPreview samples, 
 *        with JavaCV + JavaCPP as the glue in between. 
 * 
 * This file was based on CameraPreview.java that came with the Samples for 
 * Android SDK API 8, revision 1 and contained the following copyright notice: 
 * 
 * Copyright (C) 2007 The Android Open Source Project 
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"); 
 * you may not use this file except in compliance with the License. 
 * You may obtain a copy of the License at 
 * 
 *   http://www.apache.org/licenses/LICENSE-2.0 
 * 
 * Unless required by applicable law or agreed to in writing, software 
 * distributed under the License is distributed on an "AS IS" BASIS, 
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 
 * See the License for the specific language governing permissions and 
 * limitations under the License. 
 * 
 * 
 * IMPORTANT - Make sure the AndroidManifest.xml file looks like this: 
 * 
 * <?xml version="1.0" encoding="utf-8"?> 
 *  
 *    
 *    
 *    
 *    
 *      
 *        
 *          
 *          
 *        
 *      
 *    
 *  
 */ 
 
package com.googlecode.javacv.facepreview; 
 
import android.app.Activity; 
import android.app.AlertDialog; 
import android.content.Context; 
import android.graphics.Canvas; 
import android.graphics.Color; 
import android.graphics.ImageFormat; 
import android.graphics.Paint; 
import android.hardware.Camera; 
import android.hardware.Camera.Size; 
import android.os.Bundle; 
import android.view.SurfaceHolder; 
import android.view.SurfaceView; 
import android.view.View; 
import android.view.Window; 
import android.view.WindowManager; 
import android.widget.FrameLayout; 
import java.io.File; 
import java.io.IOException; 
import java.nio.ByteBuffer; 
import java.util.List; 
import com.googlecode.javacpp.Loader; 
import com.googlecode.javacv.cpp.opencv_objdetect; 
 
import static com.googlecode.javacv.cpp.opencv_core.*; 
import static com.googlecode.javacv.cpp.opencv_imgproc.*; 
import static com.googlecode.javacv.cpp.opencv_objdetect.*; 
import static com.googlecode.javacv.cpp.opencv_highgui.*; 
 
// ---------------------------------------------------------------------- 
 
public class FacePreview extends Activity { 
  private FrameLayout layout; 
  private FaceView faceView; 
  private Preview mPreview; 
 
  @Override 
  protected void onCreate(Bundle savedInstanceState) { 
    // Hide the window title. 
    requestWindowFeature(Window.FEATURE_NO_TITLE); 
 
    super.onCreate(savedInstanceState); 
 
    getWindow().addFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN); 
 
    // Create our Preview view and set it as the content of our activity. 
    try { 
      layout = new FrameLayout(this); 
      faceView = new FaceView(this); 
      mPreview = new Preview(this, faceView); 
      layout.addView(mPreview); 
      layout.addView(faceView); 
      setContentView(layout); 
    } catch (IOException e) { 
      e.printStackTrace(); 
      new AlertDialog.Builder(this).setMessage(e.getMessage()).create().show(); 
    } 
  } 
} 
 
// ---------------------------------------------------------------------- 
 
class FaceView extends View implements Camera.PreviewCallback { 
  public static final int SUBSAMPLING_FACTOR = 4; 
 
  private IplImage grayImage; 
  private CvHaarClassifierCascade classifier; 
  private CvMemStorage storage; 
  private CvSeq faces; 
 
  public FaceView(FacePreview context) throws IOException { 
    super(context); 
 
    // Load the classifier file from Java resources. 
    File classifierFile = Loader.extractResource(getClass(), 
      "/com/googlecode/javacv/facepreview/haarcascade_frontalface_alt2.xml", 
      context.getCacheDir(), "classifier", ".xml"); 
    if (classifierFile == null || classifierFile.length() <= 0) { 
      throw new IOException("Could not extract the classifier file from Java resource."); 
    } 
 
    // Preload the opencv_objdetect module to work around a known bug. 
    Loader.load(opencv_objdetect.class); 
    classifier = new CvHaarClassifierCascade(cvLoad(classifierFile.getAbsolutePath())); 
    classifierFile.delete(); 
    if (classifier.isNull()) { 
      throw new IOException("Could not load the classifier file."); 
    } 
    storage = CvMemStorage.create(); 
  } 
 
  public void onPreviewFrame(final byte[] data, final Camera camera) { 
    try { 
      Camera.Size size = camera.getParameters().getPreviewSize(); 
      processImage(data, size.width, size.height); 
      camera.addCallbackBuffer(data); 
    } catch (RuntimeException e) { 
      // The camera has probably just been released, ignore. 
    } 
  } 
 
  protected void processImage(byte[] data, int width, int height) { 
    // First, downsample our image and convert it into a grayscale IplImage 
    int f = SUBSAMPLING_FACTOR; 
    if (grayImage == null || grayImage.width() != width/f || grayImage.height() != height/f) { 
      grayImage = IplImage.create(width/f, height/f, IPL_DEPTH_8U, 1); 
    } 
    int imageWidth = grayImage.width(); 
    int imageHeight = grayImage.height(); 
    int dataStride = f*width; 
    int imageStride = grayImage.widthStep(); 
    ByteBuffer imageBuffer = grayImage.getByteBuffer(); 
    for (int y = 0; y < imageHeight; y++) { 
      int dataLine = y*dataStride; 
      int imageLine = y*imageStride; 
      for (int x = 0; x < imageWidth; x++) { 
        imageBuffer.put(imageLine + x, data[dataLine + f*x]); 
      } 
    } 
    IplImage grayImageT = IplImage.create(height/f, width/f, IPL_DEPTH_8U, 1); 
    //cvSaveImage("/storage/emulated/0/Pictures/grayImage.jpg",grayImage); 
    cvTranspose(grayImage,grayImageT); 
    //cvSaveImage("/storage/emulated/0/Pictures/grayImageT.jpg",grayImageT); 
    cvFlip(grayImageT,grayImageT,0); 
    //cvSaveImage("/storage/emulated/0/Pictures/grayImageT_X.jpg",grayImageT); 
    cvFlip(grayImageT,grayImageT,1); 
    //cvSaveImage("/storage/emulated/0/Pictures/grayImageT_Y.jpg",grayImageT); 
 
    cvClearMemStorage(storage); 
    faces = cvHaarDetectObjects(grayImageT, classifier, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING); 
    postInvalidate(); 
  } 
 
  @Override 
  protected void onDraw(Canvas canvas) { 
    Paint paint = new Paint(); 
    paint.setColor(Color.RED); 
    paint.setTextSize(20); 
 
    String s = "FacePreview - This side up."; 
    float textWidth = paint.measureText(s); 
    canvas.drawText(s, (getWidth()-textWidth)/2, 20, paint); 
 
    if (faces != null) { 
      paint.setStrokeWidth(2); 
      paint.setStyle(Paint.Style.STROKE); 
      float scaleX = (float)getWidth()/grayImage.width(); 
      float scaleY = (float)getHeight()/grayImage.height(); 
      int total = faces.total(); 
      for (int i = 0; i < total; i++) { 
        CvRect r = new CvRect(cvGetSeqElem(faces, i)); 
        int x = r.x(), y = r.y(), w = r.width(), h = r.height(); 
        canvas.drawRect(x*scaleX, y*scaleY, (x+w)*scaleX, (y+h)*scaleY, paint); 
      } 
    } 
    else{ 
      canvas.drawText("meiyoujiancedao", (getWidth()-textWidth)/2, 20, paint); 
    } 
  } 
} 
 
// ---------------------------------------------------------------------- 
 
class Preview extends SurfaceView implements SurfaceHolder.Callback { 
  SurfaceHolder mHolder; 
  Camera mCamera; 
  Camera.PreviewCallback previewCallback; 
 
  Preview(Context context, Camera.PreviewCallback previewCallback) { 
    super(context); 
    this.previewCallback = previewCallback; 
 
    // Install a SurfaceHolder.Callback so we get notified when the 
    // underlying surface is created and destroyed. 
    mHolder = getHolder(); 
    mHolder.addCallback(this); 
    mHolder.setType(SurfaceHolder.SURFACE_TYPE_PUSH_BUFFERS); 
  } 
 
  public void surfaceCreated(SurfaceHolder holder) { 
    // The Surface has been created, acquire the camera and tell it where 
    // to draw. 
    mCamera = Camera.open(Camera.CameraInfo.CAMERA_FACING_FRONT); 
    try { 
      mCamera.setPreviewDisplay(holder); 
    } catch (IOException exception) { 
      mCamera.release(); 
      mCamera = null; 
      // TODO: add more exception handling logic here 
    } 
  } 
 
  public void surfaceDestroyed(SurfaceHolder holder) { 
    // Surface will be destroyed when we return, so stop the preview. 
    // Because the CameraDevice object is not a shared resource, it's very 
    // important to release it when the activity is paused. 
    mCamera.stopPreview(); 
    mCamera.release(); 
    mCamera = null; 
  } 
 
 
  private Size getOptimalPreviewSize(List sizes, int w, int h) { 
    final double ASPECT_TOLERANCE = 0.05; 
    double targetRatio = (double) w / h; 
    if (sizes == null) return null; 
 
    Size optimalSize = null; 
    double minDiff = Double.MAX_VALUE; 
 
    int targetHeight = h; 
 
    // Try to find an size match aspect ratio and size 
    for (Size size : sizes) { 
      double ratio = (double) size.width / size.height; 
      if (Math.abs(ratio - targetRatio) > ASPECT_TOLERANCE) continue; 
      if (Math.abs(size.height - targetHeight) < minDiff) { 
        optimalSize = size; 
        minDiff = Math.abs(size.height - targetHeight); 
      } 
    } 
 
    // Cannot find the one match the aspect ratio, ignore the requirement 
    if (optimalSize == null) { 
      minDiff = Double.MAX_VALUE; 
      for (Size size : sizes) { 
        if (Math.abs(size.height - targetHeight) < minDiff) { 
          optimalSize = size; 
          minDiff = Math.abs(size.height - targetHeight); 
        } 
      } 
    } 
    return optimalSize; 
  } 
 
  public void surfaceChanged(SurfaceHolder holder, int format, int w, int h) { 
    // Now that the size is known, set up the camera parameters and begin 
    // the preview. 
    Camera.Parameters parameters = mCamera.getParameters(); 
 
    List sizes = parameters.getSupportedPreviewSizes(); 
    Size optimalSize = getOptimalPreviewSize(sizes, w, h); 
    parameters.setPreviewSize(optimalSize.width, optimalSize.height); 
 
    mCamera.setParameters(parameters); 
    if (previewCallback != null) { 
      mCamera.setPreviewCallbackWithBuffer(previewCallback); 
      Camera.Size size = parameters.getPreviewSize(); 
      byte[] data = new byte[size.width*size.height* 
          ImageFormat.getBitsPerPixel(parameters.getPreviewFormat())/8]; 
      mCamera.addCallbackBuffer(data); 
    } 
    mCamera.startPreview(); 
  } 
 
} 

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本文名称:JavaCV实现人脸检测功能
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