Classify Pixels Using Deep Learning tool outputs an empty layer

[JoštBogataj]

Hi,

I am trying do use Esri's Land Cover Classification model on aerial images in ArcGIS version 3.0.2.

Whenever I run the tool the process is completed but the output layer is empty. I have tried running it with different input layers, models and parameters but the result is always the same. Every time the process goes to 2 % and than skips to 'Generating raster' stage. What's weird is that the output layer has 1 row, 1 column and 1 channel. 
Input raster information:

Output raster information:

Any help would be appreciated.

[David_McRitchie]

If I recall correctly I have seen this before when the Deep Learning Essentials installer has not be successfully installed.

Mind checking that this is available within your Program and Files? The download link to this can be found here.

Hope that helps,

David

[SuyaZheng]

Have you solved the problem? I also encountered this situation, version 3.0.1, and confirmed the following facts:
1. Correctly installed the deep learning package
2. The training model can use pure GPU to obtain results, but inference will result in 2% and then skip outputting an empty layer
3. Model inference using pure CPU can obtain correct results, but it is obvious that the waiting time is too long

[JoštBogataj]

Hi,

Have you managed to solve the problem by any chance?

[JoštBogataj]

I did not solve the issue even after reinstalling the Deep Learning Essentials package. I got the same results as you, trying CPU only processing.