Number of points in data_a and data_b in demo

[weijiawang96]

Dear Mattia,

Sorry to bother you, but I'm having difficulties in understanding the demo.sh code. I guess demo.sh is to test our trained networks with our test dataset? Please correct me if I'm wrong.

The main part I don't understand is line 509 in trainer.py: data_a = EasyDict(self.datasets.dataset_test[self.classes[0]][index_a]) (same for data_b)

I think data_a['points'] should be the normalised and downsampled shape, I can see it has 2500 points. However, I ran train.sh and demo.sh with --number_points = 642 and --decoder_type = 'atlasnet'. I really don't know why in demo.sh, each loaded sample has 2500 points but not 642 points.

Thank you in advance. Looking forward to your help!

Sincerely, Wei

[halfstark]

I'm also looking for it....