Board programming failed during Object Detection STM32N6 Model Deployment

[nctuemo]

Dear ST Team, I'm trying to deploy models on STM32N6570-DK, and there is the issue:

Followed tutorial below:
stm32ai-modelzoo-services/object_detection/docs/README_DEPLOYMENT_STM32N6.md at main · STMicroelectronics/stm32ai-modelzoo-services

Encountered error message below:

(st_zoo) PS C:\Users\ricky\git\stm32ai-modelzoo-services\object_detection> python stm32ai_main.py --config-path ./src/config_file_examples/ --config-name deployment_n6_ssd_mobilenet_v2_fpnlite_config.yaml
C:\Users\ricky\anaconda3\envs\st_zoo\lib\site-packages\mlflow\utils\requirements_utils.py:12: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  import pkg_resources
2025-11-30 21:33:53.440551: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2025-11-30 21:33:53.440699: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
[WARNING] The usable GPU memory is unlimited.
Please consider setting the 'gpu_memory_limit' attribute in the 'general' section of your configuration file.
[INFO] : Running `deployment` operation mode
[INFO] : Using provided class names from dataset.class_names
[INFO] : ClearML config check
[INFO] : The random seed for this simulation is 123
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
[INFO] : Generating C header file for Getting Started...
[INFO] : This TFLITE model doesnt contain a post-processing layer
loading model.. model_path="../../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"
loading conf file.. "../application_code/object_detection/STM32N6/stmaic_STM32N6570-DK.conf" config="None"
"Debug" configuration is used
[INFO] : Selected board :  "STM32N6570-DK Getting Started Object Detection (STM32CubeIDE)" (stm32_cube_ide/Debug/stm32n6)
[INFO] : Compiling the model and generating optimized C code + Lib/Inc files:  ../../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
setting STM.AI tools.. root_dir="", req_version=""
 Cube AI Path: "C:\ST\STEdgeAI\2.2\Utilities\windows\stedgeai.exe".
[INFO] : Offline CubeAI used; Selected tools:  10.2.0 (x-cube-ai pack)
loading conf file.. "../application_code/object_detection/STM32N6/stmaic_STM32N6570-DK.conf" config="None"
"Debug" configuration is used
compiling... "ssd_mobilenet_v2_fpnlite_035_192_int8_tflite" session
 model_path  : ../../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
 tools       : 10.2.0 (x-cube-ai pack)
 target      : "STM32N6570-DK Getting Started Object Detection (STM32CubeIDE)" (stm32_cube_ide/Debug/stm32n6)
 options     : --st-neural-art default@../application_code/object_detection/STM32N6/Model/user_neuralart_STM32N6570-DK.json --input-data-type uint8 --inputs-ch-position chlast
"series" value is not coherent.. stm32n6 != stm32n6npu
 results -> RAM=614,480 IO=0:0 WEIGHTS=1,516,529 MACC=0 RT_RAM=1,789 RT_FLASH=572,412 LATENCY=0.000
[INFO] : Optimized C code + Lib/Inc files generation done.
[INFO] : Building the STM32 c-project..
deploying the c-project.. "STM32N6570-DK Getting Started Object Detection (STM32CubeIDE)" (stm32_cube_ide/Debug/stm32n6)
updating.. Debug
 -> s:copying file.. "network.c" to ..\application_code\object_detection\STM32N6\Model\STM32N6570-DK\network.c
 -> s:copying file.. "network_ecblobs.h" to ..\application_code\object_detection\STM32N6\Model\STM32N6570-DK\network_ecblobs.h
 -> s:copying file.. "network_atonbuf.xSPI2.raw" to ..\application_code\object_detection\STM32N6\Model\STM32N6570-DK\network_atonbuf.xSPI2.raw
 -> s:removing dir.. ..\application_code\object_detection\STM32N6\Middlewares\AI_Runtime\Lib\GCC\ARMCortexM55
 -> s:copying dir.. "ARMCortexM55" to ..\application_code\object_detection\STM32N6\Middlewares\AI_Runtime\Lib\GCC\ARMCortexM55
 -> s:removing dir.. ..\application_code\object_detection\STM32N6\Middlewares\AI_Runtime\Inc
 -> s:copying dir.. "Inc" to ..\application_code\object_detection\STM32N6\Middlewares\AI_Runtime\Inc
 -> s:removing dir.. ..\application_code\object_detection\STM32N6\Middlewares\AI_Runtime\Npu\ll_aton
 -> s:copying dir.. "ll_aton" to ..\application_code\object_detection\STM32N6\Middlewares\AI_Runtime\Npu\ll_aton
 -> u:copying file.. "app_config.h" to ..\application_code\object_detection\STM32N6\Application\STM32N6570-DK\Inc\app_config.h
 -> updating cproject file "C:\Users\ricky\git\stm32ai-modelzoo-services\application_code\object_detection\STM32N6\Application\STM32N6570-DK\STM32CubeIDE" with "NetworkRuntime1020_CM55_GCC.a"
building.. Debug
flashing.. Debug STM32N6570-DK
Board programming failed: ""
Error executing job with overrides: []
Traceback (most recent call last):
  File "C:\Users\ricky\anaconda3\envs\st_zoo\lib\site-packages\clearml\binding\hydra_bind.py", line 230, in _patched_task_function
    return task_function(a_config, *a_args, **a_kwargs)
  File "C:\Users\ricky\git\stm32ai-modelzoo-services\object_detection\stm32ai_main.py", line 220, in main
    process_mode(cfg)
  File "C:\Users\ricky\git\stm32ai-modelzoo-services\object_detection\stm32ai_main.py", line 93, in process_mode
    deploy(cfg)
  File "C:\Users\ricky\git\stm32ai-modelzoo-services\object_detection\src\deployment\deploy.py", line 122, in deploy
    stm32ai_deploy_stm32n6(target=board,
  File "C:\Users\ricky\git\stm32ai-modelzoo-services\common\deployment\common_deploy.py", line 505, in stm32ai_deploy_stm32n6
    stmaic.build(session, user_files=user_files, serial_number=stlink_serial_number)
  File "C:\Users\ricky\git\stm32ai-modelzoo-services\common\stm32ai_local\build.py", line 526, in cmd_build
    _cube_ide_builder(cube_ide_exe[0], session, used_conf,
  File "C:\Users\ricky\git\stm32ai-modelzoo-services\common\stm32ai_local\build.py", line 481, in _cube_ide_builder
    res_code = _programm_dev_board(conf, session.series, serial_number=serial_number)
  File "C:\Users\ricky\git\stm32ai-modelzoo-services\common\stm32ai_local\build.py", line 358, in _programm_dev_board
    raise STMAICToolsError('Board programming failed!')
common.stm32ai_local.utils.STMAICToolsError: E400: Board programming failed!

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

It seems that model compiling succeeded but failed when flashing.

And this is the YAML file I edited:

Furthermore, example binaries in stm32ai-modelzoo-services/application_code/ works fine via CubeProgrammer, but failed when I run model-zoo-service python script.

How can I deal with the issue?
Many thanks
Emo

[nctuemo · Accepted solution]

Successfully solved the problem by downgrading CubeIDE from 2.0.0 to version 1.17.0.

[Julian E.]

Hi @nctuemo,

I did not replicate it. Not sure the version was the cause of your issue.

Make sure the bottom led next to the USB is green when flashing.

With multiple screens plugged to my pc, I sometime have to unplug them to flash. Probably a lack of current.

Have a good day,

Julian