Dear ST staff, Recently, while using STM32CubeMX with CubeAI to deploy the yolov8n_192_quant_pc_uf_od_coco-person.tflite model from object_detection onto the STM32N6570-DK development board.
Subsequently, following CubeAI's configuration, I programmed the network_atonbuf.xSPI2.bin file into the 0x71000000 memory location
It is worth noting that this model is of type float, not int8 quantisation (as I understand it), and both member pointers in
LL_Buffer_InfoTypeDef's
const float *scale; /**< */
const int16_t *offset;
are NULL. This should indicate that the output requires no normalisation conversion.
void MX_X_CUBE_AI_Process(void)
{
/* USER CODE BEGIN 6 */
LL_ATON_RT_RetValues_t ll_aton_rt_ret = LL_ATON_RT_DONE;
const LL_Buffer_InfoTypeDef * ibuffersInfos = NN_Interface_Default.input_buffers_info();
const LL_Buffer_InfoTypeDef * obuffersInfos = NN_Interface_Default.output_buffers_info();
buffer_in = (uint8_t *)LL_Buffer_addr_start(&ibuffersInfos[0]);
buffer_out = (uint8_t *)LL_Buffer_addr_start(&obuffersInfos[0]);
printf("buffer_in addr=%p\n", buffer_in);
printf("buffer_in addr mod4=%ld\n", ((uintptr_t)buffer_in)%4);
printf("buffer_in addr mod8=%ld\n", ((uintptr_t)buffer_in)%8);
HAL_LTDC_SetAddress(&hltdc, buffer_in, 1);
HAL_DCMIPP_CSI_PIPE_Start(&hdcmipp, DCMIPP_PIPE2, DCMIPP_VIRTUAL_CHANNEL0 , buffer_in, DCMIPP_MODE_SNAPSHOT);
HAL_Delay(5);
LL_ATON_RT_RuntimeInit();
// run 1 inferences
for (int inferenceNb = 0; inferenceNb<1; ++inferenceNb) {
/* ------------- */
/* - Inference - */
/* ------------- */
/* Pre-process and fill the input buffer */
//_pre_process(buffer_in);
/* Perform the inference */
LL_ATON_RT_Init_Network(&NN_Instance_Default);
do {
ll_aton_rt_ret = LL_ATON_RT_RunEpochBlock(&NN_Instance_Default);
if (ll_aton_rt_ret == LL_ATON_RT_WFE) {
LL_ATON_OSAL_WFE();
}
} while (ll_aton_rt_ret != LL_ATON_RT_DONE);
/* Post-process the output buffer */
/* ------------------ 替换这里的 Post-process 区块 ------------------ */
{
#define CONF_THRESHOLD 0.3f // 根据模型调试设定
int channels = (int)obuffersInfos->mem_shape[1]; // 5
int num_boxes = (int)obuffersInfos->mem_shape[2]; // 756
int total_elems = channels * num_boxes;
uint8_t *tmp = (uint8_t *)buffer_out;
int nn_out_len_bytes = channels * num_boxes * sizeof(float);
SCB_InvalidateDCache_by_Addr((uint32_t *)tmp, nn_out_len_bytes);
for(int i = 0;i<756;i++)
{
printf("A:%.2f\r\n",((float*)buffer_out)[i+4*num_boxes]);
}
}
LL_ATON_RT_DeInit_Network(&NN_Instance_Default);
/* -------------------- */
/* - End of Inference - */
/* -------------------- */
}
LL_ATON_RT_RuntimeDeInit();
/* USER CODE END 6 */
}I have attempted numerous methods to parse YOLOv8n data, but frequently encounter anomalous values, particularly when seeking configuration details within the [1x5x756] structure, where many values are disproportionately large.
Is there any relevant ST analysis data documentation available for reference?
