Java开发基于seetaface6的人脸识别（活体检测）的封装源码.zip

package com.zn.facealivelib.mvp; import static org.opencv.core.CvType.CV_8UC3; import android.graphics.Bitmap; import android.os.Handler; import android.os.HandlerThread; import android.os.Looper; import android.os.Message; import android.os.Process; import android.util.Log; import com.seeta.sdk.FaceAntiSpoofing; import com.seeta.sdk.FaceDetector; import com.seeta.sdk.FaceLandmarker; import com.seeta.sdk.SeetaDevice; import com.seeta.sdk.SeetaImageData; import com.seeta.sdk.SeetaModelSetting; import com.seeta.sdk.SeetaPointF; import com.seeta.sdk.SeetaRect; import com.zn.facealivelib.config.AppConfig; import com.zn.facealivelib.face.FaceHelper; import com.zn.facealivelib.mvp.VerificationContract; import com.zn.facealivelib.utils.CachedStatusAndImage; import org.opencv.android.Utils; import org.opencv.core.Core; import org.opencv.core.CvType; import org.opencv.core.Mat; import org.opencv.core.Rect; import org.opencv.imgproc.Imgproc; import java.io.File; import java.io.FileNotFoundException; import java.io.FileOutputStream; import java.io.IOException; public class PresenterImpl implements VerificationContract.Presenter { static { System.loadLibrary("opencv_java3"); } private static final String TAG = "PresenterImpl"; private VerificationContract.View mView; public SeetaImageData imageData = new SeetaImageData(WIDTH, HEIGHT, 3); FaceAntiSpoofing.Status state = FaceAntiSpoofing.Status.DETECTING;//初始状态 static String fdModel = FaceHelper.MODELPATH + "/face_detector.csta"; static String pdModel = FaceHelper.MODELPATH + "/face_landmarker_pts5.csta"; static String fasModel1 = FaceHelper.MODELPATH + "/fas_first.csta"; static String fasModel2 = FaceHelper.MODELPATH + "/fas_second.csta"; FaceDetector faceDetector = null; FaceLandmarker faceLandmarker = null; FaceAntiSpoofing faceAntiSpoofing = null; private static int WIDTH = 480; private static int HEIGHT = 640; public static class TrackingInfo { public Mat matBgr; public Mat matGray; public SeetaRect faceInfo = new SeetaRect(); public Rect faceRect = new Rect(); public long birthTime; public long lastProccessTime; } private HandlerThread mFaceTrackThread; private HandlerThread mFasThread; { mFaceTrackThread = new HandlerThread("FaceTrackThread", Process.THREAD_PRIORITY_MORE_FAVORABLE); mFasThread = new HandlerThread("FasThread", Process.THREAD_PRIORITY_MORE_FAVORABLE); mFaceTrackThread.start(); mFasThread.start(); } private Mat matNv21 = new Mat(AppConfig.CAMERA_PREVIEW_HEIGHT + AppConfig.CAMERA_PREVIEW_HEIGHT / 2, AppConfig.CAMERA_PREVIEW_WIDTH, CvType.CV_8UC1); public void SeetaInit() { try{ if(faceDetector == null || faceLandmarker == null || faceAntiSpoofing == null) { faceDetector = new FaceDetector(new SeetaModelSetting(0, new String[]{fdModel}, SeetaDevice.SEETA_DEVICE_AUTO)); faceLandmarker = new FaceLandmarker(new SeetaModelSetting(0, new String[]{pdModel}, SeetaDevice.SEETA_DEVICE_AUTO)); SeetaModelSetting fasSetting = new SeetaModelSetting(0, new String[]{fasModel1, fasModel2}, SeetaDevice.SEETA_DEVICE_AUTO); faceAntiSpoofing = new FaceAntiSpoofing(fasSetting); float clarity = 0.30f; float fasThresh = 0.30f; faceAntiSpoofing.SetThreshold(clarity, fasThresh); }; faceDetector.set(FaceDetector.Property.PROPERTY_MIN_FACE_SIZE, 20); } catch (Exception e) { Log.e(TAG, e.toString()); } } public PresenterImpl(VerificationContract.View view) { mView = view; mView.setPresenter(this); SeetaInit(); } private Handler mFaceTrackingHandler = new Handler(mFaceTrackThread.getLooper()) { private SeetaImageData imageData = new SeetaImageData(WIDTH, HEIGHT, 3); @Override public void handleMessage(Message msg) { final TrackingInfo trackingInfo = (TrackingInfo) msg.obj; trackingInfo.matBgr.get(0, 0, imageData.data); SeetaRect[] faces = faceDetector.Detect(imageData); //设一个初始值 trackingInfo.faceInfo.x = 0; trackingInfo.faceInfo.y = 0; trackingInfo.faceInfo.width = 0; trackingInfo.faceInfo.height = 0; if (faces.length != 0 ) { int maxIndex = 0; double maxWidth = 0; for(int i=0;i<faces.length;++i) { if(faces[i].width > maxWidth) { maxIndex = i; maxWidth = faces[i].width; } } trackingInfo.faceInfo = faces[maxIndex]; trackingInfo.faceRect.x = faces[maxIndex].x; trackingInfo.faceRect.y = faces[maxIndex].y; trackingInfo.faceRect.width = faces[maxIndex].width; trackingInfo.faceRect.height = faces[maxIndex].height; trackingInfo.lastProccessTime = System.currentTimeMillis(); mView.drawFaceRect(trackingInfo.faceRect); mFasHandler.removeMessages(0); mFasHandler.obtainMessage(0, trackingInfo).sendToTarget(); } else { mView.drawFaceRect(null); state = FaceAntiSpoofing.Status.DETECTING; new Handler(Looper.getMainLooper()).post(new Runnable() { @Override public void run() { mView.setStatus(FaceAntiSpoofing.Status.DETECTING,null, null,null); } }); } } }; static int frameNumThreshold = 5;//超过该帧数后才进行活体识别，过渡摄像头曝光过程 private Handler mFasHandler = new Handler(mFasThread.getLooper()) { @Override public void handleMessage(Message msg) { final TrackingInfo trackingInfo = (TrackingInfo) msg.obj; trackingInfo.matGray = new Mat(); trackingInfo.matBgr.get(0, 0, imageData.data); //活体识别 if(trackingInfo.faceInfo.width != 0) {//存在人脸 //摄像头过渡 if(CachedStatusAndImage.currentFrameNum < frameNumThreshold) { ++CachedStatusAndImage.currentFrameNum; Log.e("frame index", "" + CachedStatusAndImage.currentFrameNum); new Handler(Looper.getMainLooper()).post(new Runnable() { @Override public void run() { //null为正在检测中的标志 mView.setStatus(null, trackingInfo.matBgr, trackingInfo.faceRect,null); } }); } else { //特征点检测 SeetaPointF[] points = new SeetaPointF[5]; faceLandmarker.mark(imageData, trackingInfo.faceInfo, points); SeetaRect faceInfo = trackingInfo.faceInfo; state = faceAntiSpoofing.Predict(imageData, faceInfo, points); CachedStatusAndImage.status = state; new Handler(Looper.getMainLooper()).post(new Runnable() { @Override public void run() { if(state == FaceAntiSpoofing.Status.DETECTING) {//没有人脸 } else { if(CachedStatusAndImage.detectedBitmap != null) { // CachedStatusAndImage.detectedBitmap.recycle(); } CachedStatusAndImage.detectedBitmap = Bitmap.createBitmap(trackingInfo.matBgr.width(), trackingInfo.matBgr.height(),