pointnet-autoencoder
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High Density of Predicted Points in Output
Hi,
I am trying to implement this code for the generation of points from an aerial LiDAR system. I am able to reproduce the ModelNet results but when I try to predict points from my own dataset, after retraining, I am getting a very dense set of points in the middle. Do you have any guesses why this might be or suggestions for adjustments I could make?
Thanks
