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

 

[HarisHer]

Hi Team,

I wanted to share that I’ve successfully resolved the issue we were encountering. The problem stemmed from a line in compile.py which I needed to modify.

 

The original command failed to execute correctly when the --output and --workspace paths were the same:

C:\ST\STEdgeAI\2.1\Utilities\windows\stedgeai.exe generate --target stm32n6 -m ../../../stm32ai-modelzoo/object_detection/ssd_mobilenet_v2_fpnlite/ST_pretrainedmodel_public_dataset/coco_2017_person/ssd_mobilenet_v2_fpnlite_035_192/ssd_mobilenet_v2_fpnlite_035_192_int8.tflite --output C:\STM-Coding\stm32ai-modelzoo-services\object_detection\src\experiments_outputs\2025_05_13_21_59_34 --workspace C:\STM-Coding\stm32ai-modelzoo-services\object_detection\src\experiments_outputs\2025_05_13_21_59_34 --st-neural-art default@../../application_code/object_detection/STM32N6/Model/user_neuralart.json --input-data-type uint8 --inputs-ch-position chlast