Class in the output of the refernece model

[pepsi_zero_sugar]

When I used validation app I could see like 

 notes: - the output of the reference model is used as ground truth/reference value 

        - 10 samples (5 items per sample) 

  acc=100.00%, rmse=0.000000147, mae=0.000000066, l2r=0.000000430, nse=1.000, cos=1.000 

  5 classes (10 samples) 

  --------------------------------- 

  C0        0    .    .    .    . 

  C1        .    0    .    .    . 

  C2        .    .   10    .    . 

  C3        .    .    .    0    . 

  C4        .    .    .    .    0

Now I'm writing a inference code by using template app. 

How can I process output to know what class is the input data?

[fauvarque.daniel · Accepted solution]

This document Documentation/embedded_client_stai_api_example.html in the embedded documentation gives you example on how to get the output.

Then the way to process it really depends on your network and the output types (float, int)

Regards