bytebuffer.kt

private val imgSize = 
// Set this image size according to our choice of DNN Model (160 for FaceNet, 112 for MobileFaceNet)

private val imageTensorProcessor = ImageProcessor.Builder()
        .add(ResizeOp(imgSize, imgSize, ResizeOp.ResizeMethod.BILINEAR))
        .add(CastOp( DataType.FLOAT32 ))
        .build()
        
private fun convertBitmapToBuffer(image: Bitmap): ByteBuffer {
  return imageTensorProcessor.process(TensorImage.fromBitmap(image)).buffer
}