So I'm stuck trying to feed this model input data, it's supposed to take an array of TensorImages, but I'm stuck doing it, if someone could help me with it I would really appreciate it, I can't figure it out.
@RequiresApi(Build.VERSION_CODES.P)
fun getCount(interpreter: Interpreter): Int {
var images = getImages()
images = preprocessImages(images as ArrayList<TensorImage>) as ArrayList<TensorImage>
var listImages = mutableListOf<TensorBuffer>()
for(i in 0 until images.size){
listImages.add(i,images[i].tensorBuffer)
}
var imgBatches = mutableListOf<List<TensorBuffer>>()
imgBatches.add(0,listImages as List<TensorBuffer>)
var inputBuffer = TensorBuffer.createFixedSize(interpreter.getInputTensor(0).shape(),interpreter.getInputTensor(0).dataType())
var outputBuffer = TensorBuffer.createDynamic(interpreter.getOutputTensor(0).dataType())
inputBuffer.loadArray(imgBatches,interpreter.getInputTensor(0).shape())
interpreter.run(inputBuffer,outputBuffer)
interpreter.close()
Log.d("Output", outputBuffer.toString())
return 0
}
The error is
None of the following functions can be called with the arguments supplied.
loadArray(FloatArray!, IntArray!) defined in org.tensorflow.lite.support.tensorbuffer.TensorBuffer loadArray(IntArray!, IntArray!) defined in org.tensorflow.lite.support.tensorbuffer.TensorBuffer
when I call inputBuffer.loadArray