Deployment Error with Object Detection STM32N6 Model Deployment

[HarisHer]

Hi all,

I'm running into an issue when trying to deploy a model from to my STM32N6 board.

I am following this guide: https://github.com/STMicroelectronics/stm32ai-modelzoo-services/blob/main/object_detection/deployment/README_STM32N6.md
running script:

python stm32ai_main.py --config-path ./config_file_examples/ --config-name deployment_n6_yolov8_config.yaml


But ending up with following error:

deployment yaml:

general:
  model_path: https://github.com/stm32-hotspot/ultralytics/raw/refs/heads/main/examples/YOLOv8-STEdgeAI/stedgeai_models/object_detection/yolov8n_256_quant_pc_uf_od_coco-person-st.tflite
  model_type: yolo_v8
operation_mode: deployment

dataset:
   class_names: [person]

preprocessing:
  resizing:
    aspect_ratio: crop
    interpolation: nearest
  color_mode: rgb

postprocessing:
  confidence_thresh: 0.6
  NMS_thresh: 0.5
  IoU_eval_thresh: 0.4
  max_detection_boxes: 10

tools:
  stedgeai:
    version: 10.0.0
    optimization: balanced
    on_cloud: False
    path_to_stedgeai: C:/ST/STEdgeAI/2.1/Utilities/windows/stedgeai.exe
  path_to_cubeIDE: C:/ST/STM32CubeIDE_1.18.0/STM32CubeIDE/stm32cubeide.exe

deployment:
  c_project_path: ../../application_code/object_detection/STM32N6/
  IDE: GCC
  verbosity: 1
  hardware_setup:
    serie: STM32N6
    board: STM32N6570-DK #STM32H747I-DISCO, STM32N6570-DK

mlflow:
   uri: ./experiments_outputs/mlruns

hydra:
   run:
      dir: ./experiments_outputs/${now:%Y_%m_%d_%H_%M_%S}

Any ideas what I am doing wrong ?

OS: Windows 11