Android(安卓)NDK开发：SeetaFace2实现人脸特征点检测

效果展示

p01.gif

代码解释

本次效果的实现是在以下三篇文章的知识基础上进行的：
●SeetaFace2库的引入请查看：Android NDK开发：SeetaFace2人脸识别算法简介
●人脸检测请查看：Android NDK开发：SeetaFace2实现人脸检测

/** * 特征点检测 */public class PointDetectorActivity extends AppCompatActivity {    private Button mBt;    private ImageView mImg;    private FaceDetector2 faceDetector;    private PointDetector2 pointDetector;    private SeetaRect[] faceRects;    private Bitmap bitmap;    private SeetaImageData seetaImageData;    @Override    protected void onCreate(Bundle savedInstanceState) {        super.onCreate(savedInstanceState);        setContentView(R.layout.activity_pointdetector);        //将模型拷贝到SD卡中        //FileUtil.CopyAssets(this,"SeetaFaceDetector2.0.ats",Environment.getExternalStorageDirectory()+ File.separator+"SeetaFaceDetector2.0.ats");        initView();        initFace();        mBt.setOnClickListener(new View.OnClickListener() {            @Override            public void onClick(View v) {                //如果图像中检测出人脸了再进行绘制                if(faceRects.length>0){                    //这里必须进行copy否则修改不了                    Bitmap copy = bitmap.copy(Bitmap.Config.ARGB_8888, true);                    //利用Bitmap创建Canvas，为了在图像上绘制人脸区域                    Canvas canvas = new Canvas(copy);                    Paint paint = new Paint(Paint.ANTI_ALIAS_FLAG);                    paint.setColor(Color.RED);                    paint.setStyle(Paint.Style.STROKE);                    paint.setStrokeWidth(3);                    //绘制出所有的检测出来的人脸的区域                    for(int i = 0 ; i < faceRects.length ; i++){                        SeetaRect faceRect = faceRects[i];                        SeetaPointF[] seetaPoints = pointDetector.Detect(seetaImageData, faceRect);//根据检测到的人脸进行特征点检测                        if(seetaPoints.length>0){                            for(SeetaPointF seetaPoint:seetaPoints){                                //绘制特征点                                canvas.drawCircle((float) seetaPoint.x,(float) seetaPoint.y,5,paint);                            }                        }                    }                    mImg.setImageBitmap(copy);                }            }        });    }    /**     * 初始化人脸检测器     */    private void initFace() {        //初始化检测器（参数是模型在SD卡的位置）        faceDetector = new FaceDetector2(Environment.getExternalStorageDirectory()+ File.separator+"seetaface"+File.separator+"SeetaFaceDetector2.0.ats");        pointDetector = new PointDetector2(Environment.getExternalStorageDirectory()+ File.separator+"seetaface"+File.separator+"SeetaPointDetector2.0.pts5.ats");  //特征点        bitmap = BitmapFactory.decodeResource(getResources(), R.drawable.heying);        //利用SeetaFace2提供的转换方法获取SeetaRect（人脸识别结果）        seetaImageData = ConvertUtil.ConvertToSeetaImageData(bitmap);        faceRects = faceDetector.Detect(seetaImageData);    }    private void initView() {        mBt = findViewById(R.id.bt_face);        mImg = findViewById(R.id.img);    }    @Override    protected void onDestroy() {        super.onDestroy();        if(faceDetector!=null){            faceDetector.dispose();        }        if(pointDetector!=null){            pointDetector.dispose();        }    }}

案例源码

https://github.com/myml666/Seetaface2

目录

效果展示

代码解释

案例源码

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