The located Function under com.tenginekit.

	val sdkConfig = SdkConfig()
	TengineKitSdk.getInstance().initSdk(path, config, context)

• backend: predict backend, cpu default now

	TengineKitSdk.getInstance().initFaceDetect()

We merge all the functions into one interface

	val byte = ImageUtils.bitmap2RGB(bitmap)
	val faceConfig = FaceConfig().apply {
			detect = true
			landmark2d = true
			video = false
	}
	val imageConfig = ImageConfig().apply {
			data = byte
			degree = 0
			mirror = false
			height = bitmapHeight
			width = bitmapWidth
			format = ImageConfig.FaceImageFormat.RGB
	}
	val faces = TengineKitSdk.getInstance().detectFace(faceConfig, config)

	TengineKitSdk.getInstance().releaseFaceDetect()

	TengineKitSdk.getInstance().initInsightFace()

We merge all the functions into one interface

   val byte = ImageUtils.bitmap2RGB(bitmap)
   val config = InsightFaceConfig().apply {
   	scrfd = true
   	recognition = true
   	registered = false
   	video = false
   }
   val imageConfig = ImageConfig().apply {
   	data = byte
   	degree = 0
   	mirror = false
   	height = it.height
   	width = it.width
   	format = ImageConfig.FaceImageFormat.RGB
   }
   val faces = TengineKitSdk.getInstance().detectInsightFace(imageConfig, config)

	TengineKitSdk.getInstance().releaseInsightFace()

	TengineKitSdk.getInstance().initSegBody()

directly return a mask, the mask is a android bitmap, the mask's width is 398, the height is 224; the mask's format is ARGB_8888

	val byte = ImageUtils.bitmap2RGB(bitmap)
	val config = SegConfig()
	val imageConfig = ImageConfig().apply {
			data = byte
			degree = 0
			mirror = false
			height = it.height
			width = it.width
			format = ImageConfig.FaceImageFormat.RGB
	}
	val bitmapMask = TengineKitSdk.getInstance().segHuman(imageConfig, config)

	TengineKitSdk.getInstance().releaseSegBody()

	TengineKitSdk.getInstance().initBodyDetect()

We merge all the functions into one interface

   val data = ImageUtils.bitmap2RGB(bitmap)
   val imageConfig = ImageConfig().apply {
   	this.data = data
   	this.format = ImageConfig.FaceImageFormat.RGB
   	this.height = it.height
   	this.width = it.width
   	this.mirror = false
   	this.degree = 0
   }
   val bodyConfig = BodyConfig()
   val bodyS = TengineKitSdk.getInstance().bodyDetect(imageConfig, bodyConfig)

	 TengineKitSdk.getInstance().releaseBodyDetect()

	TengineKitSdk.getInstance().release()

• data(byte[]): set image data byte array of image raw data
• degree(int): set rotate degree need if in camera mode, need to rotate the right angle to detect the face
• width(int): set bitmap width or preview width
• height(int): set bitmap height or preview height
• format(enum ImageConfig.FaceImageFormat): set image format, support RGB format and NV21 format current now

• detect(boolean): set true if need detect face rect
• landmark2d(boolean): set true if need landmark2d except detect face rect
• video(boolean): set true if in camera mode

• scrfd(boolean): set true if need do scrfd
• recognition(boolean): set true if need do arcface
• registered(boolean): set true if already registered face

• default portrait segmentation config current

• landmark(boolean): set true if need body landmark

all detect values ​​are normalized from 0 to 1

• x1: face rect left
• y1: face rect top
• x2: face rect right
• y2: face rect bottom
• landmark: if not null landmark contain 212 face key points
• headX: Human face pitch direction corner
• headY: Human face yaw direction corner
• headZ: Human face roll direction corner
• leftEyeClose: Left eye closure confidence 0~1
• rightEyeClose: Right eye closure confidence 0~1
• mouthClose: Mouth closure confidence 0~1
• mouthBigOpen: Open mouth Big confidence 0~1

• x1: detect body rect left
• y1: detect body rect top
• x2: detect body rect right
• y2: detect body rect bottom
• landmark: if not null landmark contain 5 face key points
• confidence: face detect confidence
• feature: if not null feature contain 512 face feature points

• x1: detect body rect left
• y1: detect body rect top
• x2: detect body rect right
• y2: detect body rect bottom
• landmark: if not null landmark contain 16 body key points