Classify Pixels Using Deep Learning tool outputs an empty layer

Question

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.

JoštBogataj · Answer

Hi,

Have you managed to solve the problem by any chance?

JoštBogataj · Answer

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.

SuyaZheng · Answer

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