When running the command: python stm32ai_main.py --config-path--config-name，error:the same file

[llcc]

D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src>python stm32ai_main.py --config-path ./config_file_examples/ --config-name my_deployment_n6_ssd_mobilenet_v2_fpnlite_config.yaml
2025-05-16 11:30:17.018496: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2025-05-16 11:30:17.018747: 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] : 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="D:/stm32aibushu/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"
"n6 release" configuration is used
[INFO] : Selected board : "STM32N6570-DK Getting Started Object Detection (STM32CubeIDE)" (stm32_cube_ide/n6 release/stm32n6)
[INFO] : Compiling the model and generating optimized C code + Lib/Inc files: D:/stm32aibushu/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: "D:\stm32edgeai\stedgeai\2.1\Utilities\windows\stedgeai.exe".
[INFO] : Offline CubeAI used; Selected tools: 10.1.0 (x-cube-ai pack)
loading conf file.. "../../application_code/object_detection/STM32N6/stmaic_STM32N6570-DK.conf" config="None"
"n6 release" configuration is used
compiling... "ssd_mobilenet_v2_fpnlite_035_192_int8_tflite" session
model_path : ['D:/stm32aibushu/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 : 10.1.0 (x-cube-ai pack)
target : "STM32N6570-DK Getting Started Object Detection (STM32CubeIDE)" (stm32_cube_ide/n6 release/stm32n6)
options : --st-neural-art default@../../application_code/object_detection/STM32N6/Model/user_neuralart.json --input-data-type uint8 --inputs-ch-position chlast
[returned code = 4294967295 - FAILED]
$ cwd: None
$ args: D:\stm32edgeai\stedgeai\2.1\Utilities\windows\stedgeai.exe generate --target stm32n6 -m D:/stm32aibushu/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 D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\experiments_outputs\2025_05_16_11_30_18 --workspace D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\experiments_outputs\2025_05_16_11_30_18 --st-neural-art default@../../application_code/object_detection/STM32N6/Model/user_neuralart.json --input-data-type uint8 --inputs-ch-position chlast
ST Edge AI Core v2.1.0-20194 329b0e98d

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PASS: 91%|█████████▏| 84/92 [00:34<00:15, 1.92s/it]

>>>> EXECUTING NEURAL ART COMPILER

PASS: 91%|█████████▏| 84/92 [00:34<00:15, 1.92s/it]

D:/stm32edgeai/stedgeai/2.1/Utilities/windows/atonn.exe -i "D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/ssd_mobilenet_v2_fpnlite_035_192_int8_OE_3_2_0.onnx" --json-quant-file "D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/ssd_mobilenet_v2_fpnlite_035_192_int8_OE_3_2_0_Q.json" -g "network.c" --load-mdesc "D:/stm32edgeai/stedgeai/2.1/Utilities/configs/stm32n6.mdesc" --load-mpool "D:/stm32aibushu/stm32ai-modelzoo-services/application_code/object_detection/STM32N6/Model/my_mpools/stm32n6-app2.mpool" --save-mpool-file "D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/neural_art__network/stm32n6-app2.mpool" --out-dir-prefix "D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/neural_art__network/" --all-buffers-info --no-hw-sw-parallelism --cache-maintenance --enable-virtual-mem-pools --native-float --optimization 3 --Os --Omax-ca-pipe 4 --Ocache-opt --enable-epoch-controller --output-info-file "c_info.json"

PASS: 91%|█████████▏| 84/92 [00:34<00:15, 1.92s/it]

<<<< DONE EXECUTING NEURAL ART COMPILER

PASS: 91%|█████████▏| 84/92 [00:37<00:15, 1.92s/it]
PASS: 92%|█████████▏| 85/92 [00:38<00:17, 2.55s/it]

LOAD ERROR: WindowsPath('D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/network.h') and WindowsPath('D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/network.h') are the same file
$ cwd: None
$ args: D:\stm32edgeai\stedgeai\2.1\Utilities\windows\stedgeai.exe generate --target stm32n6 -m D:/stm32aibushu/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 D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\experiments_outputs\2025_05_16_11_30_18 --workspace D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\experiments_outputs\2025_05_16_11_30_18 --st-neural-art default@../../application_code/object_detection/STM32N6/Model/user_neuralart.json --input-data-type uint8 --inputs-ch-position chlast
ST Edge AI Core v2.1.0-20194 329b0e98d

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PASS: 91%|█████████▏| 84/92 [00:34<00:15, 1.92s/it]

>>>> EXECUTING NEURAL ART COMPILER

PASS: 91%|█████████▏| 84/92 [00:34<00:15, 1.92s/it]

D:/stm32edgeai/stedgeai/2.1/Utilities/windows/atonn.exe -i "D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/ssd_mobilenet_v2_fpnlite_035_192_int8_OE_3_2_0.onnx" --json-quant-file "D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/ssd_mobilenet_v2_fpnlite_035_192_int8_OE_3_2_0_Q.json" -g "network.c" --load-mdesc "D:/stm32edgeai/stedgeai/2.1/Utilities/configs/stm32n6.mdesc" --load-mpool "D:/stm32aibushu/stm32ai-modelzoo-services/application_code/object_detection/STM32N6/Model/my_mpools/stm32n6-app2.mpool" --save-mpool-file "D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/neural_art__network/stm32n6-app2.mpool" --out-dir-prefix "D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/neural_art__network/" --all-buffers-info --no-hw-sw-parallelism --cache-maintenance --enable-virtual-mem-pools --native-float --optimization 3 --Os --Omax-ca-pipe 4 --Ocache-opt --enable-epoch-controller --output-info-file "c_info.json"

PASS: 91%|█████████▏| 84/92 [00:34<00:15, 1.92s/it]

<<<< DONE EXECUTING NEURAL ART COMPILER

PASS: 91%|█████████▏| 84/92 [00:37<00:15, 1.92s/it]
PASS: 92%|█████████▏| 85/92 [00:38<00:17, 2.55s/it]

LOAD ERROR: WindowsPath('D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/network.h') and WindowsPath('D:/stm32aibushu/stm32ai-modelzoo-services/object_detection/src/experiments_outputs/2025_05_16_11_30_18/network.h') are the same file
Error executing job with overrides: []
Traceback (most recent call last):
File "D:\anaconda\lib\site-packages\clearml\binding\hydra_bind.py", line 230, in _patched_task_function
return task_function(a_config, *a_args, **a_kwargs)
File "D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\stm32ai_main.py", line 228, in main
process_mode(cfg)
File "D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\stm32ai_main.py", line 102, in process_mode
deploy(cfg)
File "D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\../deployment\deploy.py", line 111, in deploy
stm32ai_deploy_stm32n6(target=board, stlink_serial_number=stlink_serial_number, stm32ai_version=stm32ai_version, c_project_path=c_project_path,
File "D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\../../common/deployment\common_deploy.py", line 469, in stm32ai_deploy_stm32n6
stmaic_local_call(session)
File "D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\../../common/deployment\common_deploy.py", line 443, in stmaic_local_call
stmaic.compile(session=session, options=opt, target=session._board_config)
File "D:\stm32aibushu\stm32ai-modelzoo-services\object_detection\src\../../common\stm32ai_local\compile.py", line 208, in cmd_compile
raise Exception('Error during compilation')
Exception: Error during compilation

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

[LQC_]

You can set the my_deployment_n6_ssd_mobilenet_v2_fpnlite_config.yaml Is the content of this file pasted out? I'll try.

*This post has been translated from Chinese to comply with the ST Community guidelines.

[llcc]

The problem has just been solved! Thank you! I'm currently getting a similar error to yours:

*This post has been translated from Chinese to comply with the ST Community guidelines.

[LQC_]

Okay, what error caused this? I'll take precautions too.

*This post has been translated from Chinese to comply with the ST Community guidelines.

[llcc]

It should still be a problem with the config file my_deployment_n6_ssd_mobilenet_v2_fpnlite_config.yaml, I deleted all the paths and filled them in again, then ran it again and it ran successfully, thank you!

*This post has been translated from Chinese to comply with the ST Community guidelines.

[llcc]

https://community.st.com/t5/edge-ai/stm32n6570-dk-model-zoo-delpoyment-error/m-p/784139#M4163 Have you tried this, I did and it didn't work, the build worked, but when I set the N6 boot pin to the right and connected it to the PC, it's screen flashed for a second, then the screen went black and LD3,4 both turned red at the same time!

*This post has been translated from Chinese to comply with the ST Community guidelines.

[LQC_]

Did you solve that problem? How was it solved. As for your comment about the screen flickering and then the lights turning red, it's due to a lack of power supply.

*This post has been translated from Chinese to comply with the ST Community guidelines.

[LQC_]

You could use another 5v-USB_SNK port for power and try again. As for how to use it, you reverse the development version, there are three jumpers next to each other, replace the first jumper cap on top of the second jumper, which is on top of the USB-SNK, and try again?

*This post has been translated from Chinese to comply with the ST Community guidelines.

[HarisHer]

Hello I have faced problem you have solution here:

Solved: Deployment Error with Object Detection STM32N6 Mod... - STMicroelectronics Community

[llcc]

It still didn't work, I got this error after running the script file, then I tried the method I just mentioned, after a successful build with the N6 boot pin set to the right and powered by 5v-USB_SNK, the screen didn't respond when I connected it to the PC.

*This post has been translated from Chinese to comply with the ST Community guidelines.

[llcc]

Maybe because I'm using a USB to Type-C cable (USB-A to USB-C）？

*This post has been translated from Chinese to comply with the ST Community guidelines.