Aerial Lidar Semantic Segmentation Using PointNet++ Deep Learning error when following example
6 views (last 30 days)
Show older comments
In the "Train Model" phase of the example code,
doTraining = true;
if doTraining
% Train the network on the ldsTransformed datastore using
% the trainNetwork function.
[net,info] = trainNetwork(ldsTransformed,lgraph,options);
else
% Load the pretrained network.
load('pointnetplusTrained','net');
end
The trainNetwork line returns the following error:
Error using trainNetwork
Input datastore returned more than one observation per row for network input 1.
I followed instructions on downloading the DALES dataset and running the code without changing anything, so I'm not sure why I'm getting this error if the example code isn't faulty. Is the problem that I'm running this code on the R2022b release?
0 Comments
Answers (1)
Vinay Ancha
on 26 Oct 2022
Hi,
The Aerial Lidar example code and pointnetplusLayers API have been enhanced in R2022b. I belive you might be trying to run the mlx file from R2022a in R2022b and that's the reason the example is running into this error.
Run this command "openExample('deeplearning_shared/AerialLidarSemanticSegmentationUsingPointNetExample')" to open the latest mlx version of this example and try the training from this script.
0 Comments
See Also
Categories
Find more on Labeling, Segmentation, and Detection in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!