How to pass data to my model?

[YahiaHedna]

HI! 

I am newbie to CUBE AI. 

I m working on implementing my CNN network that takes input image of 128,128,1 (greyscale) and give an output of 3 classes {class1,class2,class3}.

i did convert and try my model to TFLITE successfully on python.

 then i went to stmcube and did put the model using X-CUBE-AI application template .

my problem is with 

int acquire_and_process_data(ai_i8* data[])
{
  /* fill the inputs of the c-model
  for (int idx=0; idx < AI_NETWORK_IN_NUM; idx++ )
  {
      data[idx] = ....
  }

  */
  return 0;
}

my input buffer is like this

#define AI_NETWORK_IN_1_FORMAT      (AI_BUFFER_FORMAT_FLOAT)
#define AI_NETWORK_IN_1_HEIGHT      (128)
#define AI_NETWORK_IN_1_WIDTH       (128)
#define AI_NETWORK_IN_1_CHANNEL     (1)
#define AI_NETWORK_IN_1_SIZE        (16384)
#define AI_NETWORK_IN_1_SIZE_BYTES  (65536)

i tried putting image as image [128*128] and image[128][128]

[Julian E. · Accepted solution]

Hello @YahiaHedna ,

you are using float input, please try to change the 

int acquire_and_process_data(ai_i8* data[])

to 

int acquire_and_process_data(ai_float* data[])

then pass a float array of size 128x128=16384 to data[idx] 

Have a good day,

Julian

[YahiaHedna]

Thank you Julian!  

I figured out the problem and I was getting that error because of the improper data passing to the input layer.

Thanks again for your time!