allprojects {
    repositories {
        google()
        jcenter()
    }
}

dependencies {
    implementation 'com.rokid.glass:facelib:2.2.1.8'
}

CitrusFaceEngine.Init(Context context);

FaceDbHelper(Context context)

void setModel(int model)

void configDb(String dbName)

FaceDbHelper dbCreator = new FaceDbHelper(getApplicationContext());
dbCreator.setModel(FaceDbHelper.MODEL_DB);
dbCreator.configDb("user.db");

UserInfo add(Bitmap bm, UserInfo info)

UserInfo info = new UserInfo("name", "card no");
Bitmap bm = BitmapFactory.decodeFile("sdcard/test.jpg");
dbCreator.add(bm, info);

boolean remove(String uuid)

dbCreator.remove(uuid);

boolean update(Bitmap bm,UserInfo info)

Bitmap bm = BitmapFactory.decodeFile("sdcard/test.jpg");
dbCreator.update(bm, newInfo);

List<UserInfo> queryBySize(int index,int count)

dbCreator.queryBySize(0,10);

void save()

dbCreator.save();

dbCreator.clearDb();

DFaceConf setSize(int width,int height)

DFaceConf setRoi(Rect rect)

DFaceConf setDataType(int dataType)

DFaceConf setPoolNum(int poolNum)

DFaceConf setMaxSize(float faceMaxSize)

DFaceConf setMinSize(float faceMinSize)

DFaceConf setDetectMaxFace(int detectMaxFace)

SFaceConf setRecog（boolean recog,String dbName）

SFaceConf setAutoRecog（boolean autoRecog）

SFaceConf setTargetScore(float targetScore);

SFaceConf setOutTime(long ms);

SFaceConf setRecogInterval(long ms);

DFaceConf conf = new DFaceConf();
conf.setSize(width, height); // 设置数据宽高
conf.setRoi(rect); // 设置检测roi区域
conf.setDataType(type) // 设置数据格式 DataFormat
SFaceConf conf = new SFaceConf();
conf.setRecog(true, dbPath); //设置路径
conf.setAutoRecog(true);//设置自动识别
conf.setTargetScore(80);//设置识别阈值
conf.setsetOutTime(2000);//设置超时时间
conf.setRecogInterval(5000);//设置识别间隔

VideoRokidFace create(Context context,DFaceConf dFaceConf)

sconfig(SFaceConf conf)

VideoRokidFace videoFace = VideoRokidFace.create(context,videoDFaceConf);
videoFace.sconfig(sFaceConf);

void setData(VideoInput videoInput)

videoFace.setData(new VideoInput(bytes));

byte[] getBytes()

videoFace.getBytes();

void startTrack(RokidFaceCallback rokidFaceCallback)

videoFace.startTrack(new RokidFaceCallback() {
    @Override
    public void onFaceCallback(FaceModel model) {

    }
});

videoFace.destroy();

IImageRokidFace imageFace = ImageRokidFace.create(context);

IImageRokidFace imageFace = ImageRokidFace.create(context);

IImageRokidFace sconfig(SFaceConf sFaceConf)

// 如果图片检测需要人脸识别，则sconfig
imageFace.sconfig(new SFaceConf().setRecog(true, dbPath));

setImageFaceCallback(BitmapInput bitmapInput,ImageFaceCallBack callback)

imageFace.setImageFaceCallback(new BitmapInput(bitmap),
	new ImageRokidFace.ImageFaceCallBack() {
	    @Override
	    public void onFaceModel(FaceModel model) {

	    }});

imageFace.destroy()

FaceModel {
   int width;
   int height;
   List<FaceDO> faces; //人脸检测数据model，包含FaceDO list
}

FaceDO {
    public RectF faceRectF; // 人脸rect
    public int trackId;  // trackId 人脸trackId，tracking中id不变
    public boolean goodQuality;//人脸质量是否合格
    public boolean goodPose;//人脸角度是否合格
    public boolean goodSharpness;//人脸清晰度是否合格
    public UserInfo userInfo; //人脸信息
    public float[] pose; //人脸角度
    public float userInfoScore; //人脸识别的分数
    public float sharpness; //人脸清晰度
    public boolean recogOutTime;//人脸是否超时
}