I have tensorflow lite modell for image classification. So I was importing that model to android studio for image classification.
So while I'm running the code below runtime error occurred,
java.lang.IllegalArgumentException: The size of byte buffer and the shape do not match.
After long periods of trubelshoting I suspect erro may be in below code snipet in my main activity file.
`predictBtn.setOnClickListener(new View.OnClickListener() { @Override public void onClick(View View) {
try {
TfliteModelAnother model = TfliteModelAnother.newInstance(MainActivity.this);
// Creates inputs for reference.
TensorBuffer inputFeature0 = TensorBuffer.createFixedSize(new int[]{1, 256, 256, 3}, DataType.FLOAT32);
bitmap = Bitmap.createScaledBitmap(bitmap, 256,256, true);
inputFeature0.loadBuffer(TensorImage.fromBitmap(bitmap).getBuffer());
// Runs model inference and gets result.
TfliteModelAnother.Outputs outputs = model.process(inputFeature0);
TensorBuffer outputFeature0 = outputs.getOutputFeature0AsTensorBuffer();
result.setText(labels[getMax(outputFeature0.getFloatArray())]+"");
// Releases model resources if no longer used.
model.close();
} catch (IOException e) {
// TODO Handle the exception
}`
I am new to machine learning so I'm stuck on here. Please assist regarding this matter. Thank you...