我参考网上的教程使用opencv内置的人脸检测模型
前期准备
在Androidstudio项目里新建一个文件夹raw路径如下再将opencvandroidsdk里的lbpcascade_frontalface.xml添加进去 .xml文件的路径在你存放的位置\OpenCV-android-sdk\sdk\etc\lbpcascades文件夹里
准备工作完成,可以开始码代码了
首先修改AndroidManifest.xml
在<application标签前添加代码
<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" />
获取摄像头的权限
其次修改activity_main.xml
添加如下代码
<org.opencv.android.JavaCameraView
android:id="@+id/openCvCameraView"
android:layout_width="match_parent"
android:layout_height="match_parent"
android:visibility="gone"
app:camera_id="any"
app:show_fps="true"
/>
创建一个JavaCameraView控件
最后MainActivity.java
代码如下
package com.example.aaa.opencvcamera;
import android.content.Context;
import android.support.v7.app.AppCompatActivity;
import android.os.Bundle;
import android.util.Log;
import android.view.WindowManager;
import android.widget.TextView;
import org.opencv.android.BaseLoaderCallback;
import org.opencv.android.CameraBridgeViewBase;
import org.opencv.android.JavaCameraView;
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.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import java.io.File;
import java.io.FileOutputStream;
import java.io.InputStream;
import static org.opencv.imgproc.Imgproc.rectangle;
public class MainActivity extends AppCompatActivity implements CameraBridgeViewBase.CvCameraViewListener{
// Used to load the 'native-lib' library on application startup.
//static {
// System.loadLibrary("native-lib");
//}
private CameraBridgeViewBase openCvCameraView;
private CascadeClassifier cascadeClassifier;
private Mat grayscaleImage;
private int absoluteFaceSize;
private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
@Override
public void onManagerConnected(int status){
switch (status){
case LoaderCallbackInterface.SUCCESS:
initializeOpenCVDependencies();
break;
default:
super.onManagerConnected(status);
break;
}
}
};
private void initializeOpenCVDependencies(){
try{
InputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface);
File casadeDir = getDir("cascade", Context.MODE_PRIVATE);
File mCascadeFile = new File(casadeDir,"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();
cascadeClassifier = new CascadeClassifier(mCascadeFile.getAbsolutePath());
} catch (Exception e) {
Log.e("OpenCVActivity","Error Loading casade",e);
}
openCvCameraView.enableView();
}
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
openCvCameraView = new JavaCameraView(this, -1);
setContentView(openCvCameraView);
openCvCameraView.setCvCameraViewListener(this);
/*setContentView(R.layout.activity_main);
// Example of a call to a native method
TextView tv = (TextView) findViewById(R.id.sample_text);
tv.setText(stringFromJNI());
*/
}
@Override
public void onCameraViewStarted(int width, int height){
grayscaleImage = new Mat(height, width, CvType.CV_8UC4);
absoluteFaceSize = (int)(height * 0.2);
}
@Override
public void onCameraViewStopped(){
}
@Override
public Mat onCameraFrame(Mat aInputFrame){
Imgproc.cvtColor(aInputFrame, grayscaleImage, Imgproc.COLOR_RGBA2RGB);
MatOfRect faces = new MatOfRect();
if (cascadeClassifier != null){
cascadeClassifier.detectMultiScale(grayscaleImage,faces,1.1,2,2,new Size(absoluteFaceSize,absoluteFaceSize),new Size());
}
Rect[] faceArray = faces.toArray();
for (int i = 0; i <faceArray.length; i++)
//原代码是Core.rectangle(aInputFrame, faceArray[i].tl(), faceArray[i].br(), new Scalar(0, 255, 0, 255), 3);
//但好像不行
Imgproc.rectangle(aInputFrame, faceArray[i].tl(), faceArray[i].br(), new Scalar(0, 255, 0, 255), 3);
return aInputFrame;
}
/*
@Override
public void onResume(){
super.onResume();
if(!OpenCVLoader.initDebug()){
Log.e("log_wons", "OpenCV init error");
}
initializeOpenCVDependencies();
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_4_0, this, mLoaderCallback);
}
*/
@Override
public void onResume(){
super.onResume();
if (!OpenCVLoader.initDebug()){
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_4_0, this, mLoaderCallback);
} else {
mLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS);
}
}
/**
* A native method that is implemented by the 'native-lib' native library,
* which is packaged with this application.
*/
//public native String stringFromJNI();
}
最后我把生成的apk安装在手机里运行效果如下
ok了还是可以的,但是鲁棒性好像不行,误检概率有点大。
注释和每个函数的意思有空再补