Fail to classify pixels using deep learning with GPU

XISHI — Thu, 22 Jun 2023 12:55:26 GMT

When I run the toolbox "Classify pixels using deep learning" with the CPU, everything seems fine, except that it runs extremely slow. So I tried to run it with the GPU and got multiple failures::

ExecuteError: ERROR 999999: Something unexpected caused the tool to fail. Contact Esri Technical Support (http://esriurl.com/support) to Report a Bug, and refer to the error help for potential solutions or workarounds.
Parallel processing job timed out [Failed to generate table]
Parallel processing job timed out [Failed to generate table]
Failed to execute (DetectObjectsUsingDeepLearning).

The parameters and environments were set as below:

Then I further try it in the Python command line with:

with arcpy.EnvManager(processorType="GPU"):
out_classified_raster = arcpy.ia.ClassifyPixelsUsingDeepLearning("setnul_raste", r"E:\Z_Phd_Other_stuff\2023_06_21_jx\jx\MyProject\model_unet2\model_unet2.dlpk", "padding 0;batch_size 32;predict_background False;test_time_augmentation False;tile_size 224", "PROCESS_AS_MOSAICKED_IMAGE", None); out_classified_raster.save(r"E:\Z_Phd_Other_stuff\2023_06_21_jx\jx\MyProject\MyProject.gdb\setnul_raste_ClassifyPixelsU3")

The same error occurred:

Traceback (most recent call last):
File "<string>", line 2, in <module>
File "C:\Program Files\ArcGIS\Pro\Resources\ArcPy\arcpy\ia\Functions.py", line 2206, in DetectObjectsUsingDeepLearning
return Wrapper(
File "C:\Program Files\ArcGIS\Pro\Resources\ArcPy\arcpy\sa\Utils.py", line 55, in swapper
result = wrapper(*args, **kwargs)
File "C:\Program Files\ArcGIS\Pro\Resources\ArcPy\arcpy\ia\Functions.py", line 2195, in Wrapper
result = arcpy.gp.DetectObjectsUsingDeepLearning_ia(
File "C:\Program Files\ArcGIS\Pro\Resources\ArcPy\arcpy\geoprocessing\_base.py", line 512, in <lambda>
return lambda *args: val(*gp_fixargs(args, True))
arcgisscripting.ExecuteError: ERROR 999999: Something unexpected caused the tool to fail. Contact Esri Technical Support (http://esriurl.com/support) to Report a Bug, and refer to the error help for potential solutions or workarounds.
Parallel processing job timed out [Failed to generate table]
Parallel processing job timed out [Failed to generate table]
Failed to execute (DetectObjectsUsingDeepLearning).

My PC has an AMD 7950X CPU and RTX 4090 (GPU0) and the version of ArcGIS Pro is 3.0.1. Is there any solution or suggestion?

Re: Fail to classify pixels using deep learning with GPU

XISHI — Thu, 22 Jun 2023 13:05:53 GMT

Or anything I missed?

Re: Fail to classify pixels using deep learning with GPU

JesseCloutier — Thu, 22 Jun 2023 13:06:59 GMT

@XISHI, I've moved this post from our Community Feedback area to the ArcGIS Pro Questions Board, where it's more likely to be seen and responded to by members with relevant expertise. All the best!

Re: Fail to classify pixels using deep learning with GPU

PavanYadav — Fri, 22 Sep 2023 20:59:47 GMT

@XISHI

Have you been able to fix it? Your nividia GPU should work. just for a test can you please try a smaller batch size e.g. 2 or 4? Are you running the tool within ArcGIS Pro or from a script?

Cheers!

Pavan Yadav | Product Engineer - Imagery and AI
Esri | 380 New York | Redlands, 92373 | USA

https://www.linkedin.com/in/pavan-yadav-1846606/

Re: Fail to classify pixels using deep learning with GPU

Kaifichomani — Sun, 13 Jul 2025 06:10:52 GMT

Same problem here and not fixed yet.
I used ArcGIS pro 3.4 and classify pixels using deep learning. Training the model was successful but when I choose to test the same model, the GPU is not working. I have RTX4060.

topic Re: Fail to classify pixels using deep learning with GPU in ArcGIS Pro Questions

Fail to classify pixels using deep learning with GPU

Re: Fail to classify pixels using deep learning with GPU

Re: Fail to classify pixels using deep learning with GPU

Re: Fail to classify pixels using deep learning with GPU

Re: Fail to classify pixels using deep learning with GPU