ML-examples/cmsisnn-cifar10 is a bad prediction

[Frank]

I use the code to convert the dog image to an array.

from PIL import Image, ImageOps
import numpy as np

np.set_printoptions(threshold=np.inf)

def resize_image(image, _width=32, _height=32):
    new_image = Image.open(image)
    new_image = ImageOps.fit(new_image , (_width, _height), Image.ANTIALIAS)
    new_image_rgb = new_image.convert('RGB')
    return np.asarray(new_image_rgb).flatten()

def print_array_for_c(_array):
    print("{",end="")
    for pixel in _array:
        print(pixel,end=",")
    print("}")

print_array_for_c(resize_image('dog.jpg'))

and then input NN

/* from the dog image conversion */
#define IMG_DATA {255,255, ...  ,255,}  

uint8_t   image_data[3 * 32 * 32] = IMG_DATA;
q7_t      output_data[10];

char const *class_names[10] = {"airplane", "automobile", "bird", "cat", "deer",
               "dog", "frog", "horse", "ship", "truck"};

uint8_t get_max_index(q7_t *array,uint8_t len)
{
    int max = -128;
    int max_index;
    for (int i = 0; i < len; i++)
    {
        if(max<array[i])
        {
            max = array[i];
            max_index = i;
        }
    }
    return max_index;
}

int main()
{
  printf("start execution, wait for the result...\n");
	
  /* start the execution */
  run_nn((q7_t*)image_data,output_data);

  arm_softmax_q7(output_data, 10, output_data);

  for (uint8_t i = 0; i < 10; i++)
  {
      printf("%d: %d\n", i, output_data[i]);
  }
	
printf("It is %s.\n",class_names[get_max_index(output_data,sizeof(output_data)/sizeof(output_data[0]))]);

  return 0;
}

but the Prediction is "Plane", I tried a lot of pictures and the predictions were not correct.

Please help me, thanks.